demo6 <- tibble::as_tibble(rio::import("ab_p_demo.tsv")) # Demographic Data
sex6 <- tibble::as_tibble(rio::import("ab_g_stc.tsv")) # Sex
svs6 <- tibble::as_tibble(rio::import("nc_y_svs.tsv")) # Snellen's vision problem screening
cbcl6 <- tibble::as_tibble(rio::import("mh_p_cbcl.tsv")) # Child Behavior Checklist
tool6 <- tibble::as_tibble(rio::import("nc_y_nihtb.tsv")) # NIH Toolbox
asr6 <- tibble::as_tibble(rio::import("mh_p_asr.tsv")) # Adult Self Report
y_pds6 <- tibble::as_tibble(rio::import("ph_y_pds.tsv")) # Puberty Youth Report
p_pds6 <- tibble::as_tibble(rio::import("ph_p_pds.tsv")) # Puberty Parent ReportR script supplementary
Supplementary R Script
This document provides the complete R code for all analyses, data preparation, and visualizations reported in the manuscript.
Setup and Data Preparation
Load Required Libraries
Load Data
This analysis uses ABCD Release 6
replace “n/a” with NA
demo6 <- demo6 %>%
dplyr::mutate(dplyr::across(dplyr::everything(), ~ dplyr::na_if(as.character(.x), "n/a")))
sex6 <- sex6 %>%
dplyr::mutate(dplyr::across(dplyr::everything(), ~ dplyr::na_if(as.character(.x), "n/a")))
svs6 <- svs6 %>%
dplyr::mutate(dplyr::across(dplyr::everything(), ~ dplyr::na_if(as.character(.x), "n/a")))
cbcl6 <- cbcl6 %>%
dplyr::mutate(dplyr::across(dplyr::everything(), ~ dplyr::na_if(as.character(.x), "n/a")))
tool6 <- tool6 %>%
dplyr::mutate(dplyr::across(dplyr::everything(), ~ dplyr::na_if(as.character(.x), "n/a")))
asr6 <- asr6 %>%
dplyr::mutate(dplyr::across(dplyr::everything(), ~ dplyr::na_if(as.character(.x), "n/a")))
y_pds6 <- y_pds6 %>%
dplyr::mutate(dplyr::across(dplyr::everything(), ~ dplyr::na_if(as.character(.x), "n/a")))
p_pds6 <- p_pds6 %>%
dplyr::mutate(dplyr::across(dplyr::everything(), ~ dplyr::na_if(as.character(.x), "n/a")))Vision problem screening
need to exclude participants with vision problems
# Check for vision problem
vision <- svs6 %>% mutate(visionProb = ifelse(nc_y_svs_002 == 0 | nc_y_svs_002 == 1 | nc_y_svs_002__01 == 2, 1, 0))
# Join data excluding participants with vision problem
abcd6_all <- plyr::join_all(list(vision, demo6, cbcl6, tool6, asr6, y_pds6, p_pds6), by = c("participant_id", "session_id"), type = "full") %>%
filter(visionProb != 1 | is.na(visionProb))
# check duplicate
abcd6_all %>%
select(participant_id, session_id) %>%
group_by(session_id) %>%
dplyr::summarise(count = dplyr::n(), duplicate = any(duplicated(participant_id))) %>%
knitr::kable()| session_id | count | duplicate |
|---|---|---|
| ses-00A | 11837 | FALSE |
| ses-01A | 11217 | FALSE |
| ses-02A | 10942 | FALSE |
| ses-03A | 10435 | FALSE |
| ses-04A | 9661 | FALSE |
| ses-05A | 8877 | FALSE |
| ses-06A | 5047 | FALSE |
Prapare Data
# Convert data into appropriate type
abcd6_all <- abcd6_all %>%
dplyr::mutate(dplyr::across(dplyr::everything(), ~ utils::type.convert(.x, as.is = TRUE)))
# label session_id into 0 (baseline) to 6 years follow-up
abcd6_all <- abcd6_all %>%
mutate(
session_id = factor(session_id,
levels = c(
"ses-00A",
"ses-01A",
"ses-02A",
"ses-03A",
"ses-04A",
"ses-05A",
"ses-06A"
),
labels = c("0", "1", "2", "3", "4", "5", "6")
)
)
# Add sex
abcd6_all.sex <- plyr::join_all(
list(
abcd6_all,
sex6 %>%
select(participant_id, ab_g_stc__cohort_sex) %>%
drop_na(ab_g_stc__cohort_sex)
),
by = c("participant_id"), type = "left"
)
# check duplicate
abcd6_all.sex %>%
select(participant_id, session_id, ab_g_stc__cohort_sex) %>%
group_by(ab_g_stc__cohort_sex, session_id) %>%
dplyr::summarise(count = dplyr::n(), duplicate = any(duplicated(participant_id))) %>%
knitr::kable()| ab_g_stc__cohort_sex | session_id | count | duplicate |
|---|---|---|---|
| 1 | 0 | 6179 | FALSE |
| 1 | 1 | 5867 | FALSE |
| 1 | 2 | 5742 | FALSE |
| 1 | 3 | 5473 | FALSE |
| 1 | 4 | 5072 | FALSE |
| 1 | 5 | 4636 | FALSE |
| 1 | 6 | 2645 | FALSE |
| 2 | 0 | 5658 | FALSE |
| 2 | 1 | 5350 | FALSE |
| 2 | 2 | 5200 | FALSE |
| 2 | 3 | 4962 | FALSE |
| 2 | 4 | 4589 | FALSE |
| 2 | 5 | 4241 | FALSE |
| 2 | 6 | 2402 | FALSE |
Age & Sex in each timepoint
abcd6_all.sex %>%
select(participant_id, session_id, ab_p_demo_age, ab_g_stc__cohort_sex) %>%
group_by(session_id) %>%
dplyr::summarise(
count = dplyr::n(),
AgeMean = round(mean(ab_p_demo_age, na.rm = T), 2),
AgeSD = round(sd(ab_p_demo_age, na.rm = T), 2),
male_N = sum(ab_g_stc__cohort_sex == 1, na.rm = TRUE),
female_N = sum(ab_g_stc__cohort_sex == 2, na.rm = TRUE),
male_pct = mean(ab_g_stc__cohort_sex == 1) * 100,
female_pct = mean(ab_g_stc__cohort_sex == 2) * 100
) %>%
knitr::kable()# A tibble: 7 × 8
session_id count AgeMean AgeSD male_N female_N male_pct female_pct
<fct> <int> <dbl> <dbl> <int> <int> <dbl> <dbl>
1 0 11837 9.96 0.62 6179 5658 52.2 47.8
2 1 11211 11.0 0.64 5865 5346 52.3 47.7
3 2 10938 12.1 0.67 5739 5199 52.5 47.5
4 3 10226 13.0 0.65 5380 4846 52.6 47.4
5 4 9647 14.2 0.71 5064 4583 52.5 47.5
6 5 8688 15.1 0.67 4545 4143 52.3 47.7
7 6 5042 16.1 0.66 2643 2399 52.4 47.6
density plot
ggplot(
abcd6_all.sex,
aes(
x = ab_p_demo_age, y = session_id,
fill = factor(ab_g_stc__cohort_sex), height = ..count..
)
) +
ggridges::geom_density_ridges(stat = "density", scale = .8, alpha = .7) +
xlab("Age (Years old)") +
ylab("Time point") +
theme_bw(base_size = 20) +
theme(legend.position = "bottom") +
scale_fill_manual(
name = "Sex",
labels = c(
"1" = "Male",
"2" = "Female"
),
values = c(
"1" = "navy",
"2" = "darkred"
)
) +
scale_x_continuous(breaks = 8:18) +
scale_y_discrete(labels = c("Baseline", paste0("Year", 1:6))) +
annotate(
geom = "text",
x = (14) - .1,
y = 1:7, size = 5,
label = paste0(
"N = ",
readRDS("abcd6_demo_table.rds") %>%
pull(count) %>%
formattable::comma(digits = 0, big.mark = ",")
),
vjust = 1.2
) +
annotate(
geom = "text",
x = (16.05),
y = 1:7, size = 5,
label = paste0(
"(",
readRDS("abcd6_demo_table.rds") %>%
pull(male_N) %>%
formattable::comma(digits = 0, big.mark = ","),
"/"
),
vjust = 1.2, color = "navy"
) +
annotate(
geom = "text",
x = (17.6),
y = 1:7, size = 5,
label = paste0(readRDS("abcd6_demo_table.rds") %>%
pull(female_N) %>%
formattable::comma(digits = 0, big.mark = ","), ")"),
vjust = 1.2, color = "darkred"
)
Load Cognition Data (g factor)
g_factor <- abcd6_all %>%
select(contains(c("_id", "uncor_score")))
colnames(g_factor) <- c(
"participant_id",
"session_id",
"cryst", # Crystallized Composite Score
"fluid", # Fluid Composite Score
"total_int", # Total Composite Scores
"cardsort", # Dimensional Change Card Sort
"flanker", # Flanker Inhibitory Control & Attention
"list", # List Sorting Working Memory
"picture", # Picture Sequence Memory
"picvocab", # Picture Vocabulary
"pattern", # Pattern Comparison Processing Speed
"reading" # Oral Reading Recognition: Language
)Valid data N & % in session_id
g_factor %>%
pivot_longer(where(is.numeric), names_to = "variable", values_to = "value") %>%
group_by(session_id, variable) %>%
dplyr::summarise(N = sum(!is.na(value)), Pct = round(mean(!is.na(value)) * 100, 2), .groups = "drop") %>%
pivot_wider(
names_from = session_id,
values_from = c(N, Pct),
names_glue = "{.value}_{session_id}"
) %>%
relocate(variable, {
sessions <- str_remove(names(.)[-1], "^(N|Pct)_") %>% unique()
as.vector(rbind(
paste0("N_", sessions),
paste0("Pct_", sessions)
))
}) %>%
knitr::kable()| variable | N_0 | Pct_0 | N_1 | Pct_1 | N_2 | Pct_2 | N_3 | Pct_3 | N_4 | Pct_4 | N_5 | Pct_5 | N_6 | Pct_6 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| cardsort | 11685 | 98.72 | 0 | 0 | 6 | 0.05 | 0 | 0 | 37 | 0.38 | 0 | 0 | 4644 | 92.02 |
| cryst | 11658 | 98.49 | 0 | 0 | 7420 | 67.81 | 0 | 0 | 3371 | 34.89 | 0 | 0 | 4023 | 79.71 |
| flanker | 11684 | 98.71 | 0 | 0 | 8139 | 74.38 | 0 | 0 | 7200 | 74.53 | 0 | 0 | 4649 | 92.11 |
| fluid | 11602 | 98.01 | 0 | 0 | 10 | 0.09 | 0 | 0 | 5 | 0.05 | 0 | 0 | 3828 | 75.85 |
| list | 11641 | 98.34 | 0 | 0 | 15 | 0.14 | 0 | 0 | 9235 | 95.59 | 0 | 0 | 4881 | 96.71 |
| pattern | 11666 | 98.56 | 0 | 0 | 8102 | 74.04 | 0 | 0 | 7180 | 74.32 | 0 | 0 | 4623 | 91.60 |
| picture | 11678 | 98.66 | 0 | 0 | 10368 | 94.75 | 0 | 0 | 9226 | 95.50 | 0 | 0 | 4869 | 96.47 |
| picvocab | 11690 | 98.76 | 0 | 0 | 10340 | 94.50 | 0 | 0 | 9280 | 96.06 | 0 | 0 | 4885 | 96.79 |
| reading | 11676 | 98.64 | 0 | 0 | 10297 | 94.11 | 0 | 0 | 9227 | 95.51 | 0 | 0 | 4869 | 96.47 |
| total_int | 11598 | 97.98 | 0 | 0 | 10 | 0.09 | 0 | 0 | 5 | 0.05 | 0 | 0 | 3801 | 75.31 |
5 cognitive tasks that contain complete available data:
Flanker Inhibitory Control & Attention Picture Sequence Memory Picture Vocabulary Pattern Comparison Processing Speed Oral Reading Recognition: Language
with 4 time points available:
Baseline (00), 2 year follow-up (02), 4 year follow-up (04), 6 year follow-up (06)
Check data
# Select 5 available cognitive tasks in 4 time points
g_factor_5task <- g_factor %>%
select(
"participant_id",
"session_id",
"flanker", # Flanker Inhibitory Control & Attention
"picture", # Picture Sequence Memory
"picvocab", # Picture Vocabulary
"pattern", # Pattern Comparison Processing Speed
"reading" # Oral Reading Recognition: Language
) %>%
filter(session_id %in% c("0", "2", "4", "6")) # only baseline, 2, 4, and 6 years data
# Year 0 (Baseline)
g_factor_5task %>%
filter(session_id == "0") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| flanker | 11684 | 98.70744 | 94.00019 | 9.146845 | 51 | 116 |
| pattern | 11666 | 98.55538 | 88.06617 | 14.580192 | 30 | 140 |
| picture | 11678 | 98.65675 | 102.81035 | 12.073664 | 76 | 136 |
| picvocab | 11690 | 98.75813 | 84.45743 | 8.114096 | 29 | 119 |
| reading | 11676 | 98.63986 | 90.86447 | 6.905601 | 59 | 119 |
# Year 2
g_factor_5task %>%
filter(session_id == "2") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| flanker | 8139 | 74.38311 | 100.18565 | 7.666033 | 50 | 117 |
| pattern | 8102 | 74.04496 | 103.61479 | 15.041106 | 30 | 163 |
| picture | 10368 | 94.75416 | 108.53733 | 12.685599 | 76 | 136 |
| picvocab | 10340 | 94.49826 | 88.96190 | 8.515769 | 59 | 123 |
| reading | 10297 | 94.10528 | 94.97232 | 6.737842 | 67 | 180 |
# Year 4
g_factor_5task %>%
filter(session_id == "4") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| flanker | 7200 | 74.52645 | 103.99861 | 7.720496 | 45 | 117 |
| pattern | 7180 | 74.31943 | 114.67841 | 16.680275 | 35 | 170 |
| picture | 9226 | 95.49736 | 111.62031 | 15.181307 | 74 | 138 |
| picvocab | 9280 | 96.05631 | 93.91325 | 8.974363 | 22 | 126 |
| reading | 9227 | 95.50771 | 99.38767 | 7.258820 | 62 | 129 |
# Year 6
g_factor_5task %>%
filter(session_id == "6") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| flanker | 4649 | 92.11413 | 106.52076 | 7.604157 | 41 | 117 |
| pattern | 4623 | 91.59897 | 123.41164 | 17.465312 | 30 | 174 |
| picture | 4869 | 96.47315 | 111.88478 | 14.909122 | 74 | 138 |
| picvocab | 4885 | 96.79017 | 97.30072 | 8.747847 | 33 | 126 |
| reading | 4869 | 96.47315 | 101.98624 | 7.390978 | 70 | 129 |
# Reading in Year 2 contained an outliar
# (180 raw score which should be ranged from 59 to 140)
g_factor_5task$reading <- ifelse(g_factor_5task$reading > 140,
NA, # replace >140 with NA
g_factor_5task$reading
)
# Recheck
g_factor_5task %>%
filter(session_id == "2") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| flanker | 8139 | 74.38311 | 100.18565 | 7.666033 | 50 | 117 |
| pattern | 8102 | 74.04496 | 103.61479 | 15.041106 | 30 | 163 |
| picture | 10368 | 94.75416 | 108.53733 | 12.685599 | 76 | 136 |
| picvocab | 10340 | 94.49826 | 88.96190 | 8.515769 | 59 | 123 |
| reading | 10296 | 94.09614 | 94.96406 | 6.685851 | 67 | 121 |
# reading max score came down from 180 to 121Missing Visualization
# Baseline
g_factor_5task %>%
filter(session_id == "0") %>%
visdat::vis_miss()
# 2-year follow-up
g_factor_5task %>%
filter(session_id == "2") %>%
visdat::vis_miss()
# 4-year follow-up
g_factor_5task %>%
filter(session_id == "4") %>%
visdat::vis_miss()
# 6-year follow-up
g_factor_5task %>%
filter(session_id == "6") %>%
visdat::vis_miss()
Scaled score: Z score
# Scale into Z-score across all time points
g_factor_5task.scaled <- g_factor_5task %>%
mutate_at(scale,
.vars = c(
"flanker", # Flanker Inhibitory Control & Attention
"picture", # Picture Sequence Memory
"picvocab", # Picture Vocabulary
"pattern", # Pattern Comparison Processing Speed
"reading" # Oral Reading Recognition: Language
),
center = TRUE,
scale = TRUE
)Reconstruct Data
Long form (Scaled)
g_factor_5task_long.scaled <- g_factor_5task.scaled %>%
pivot_longer(
cols = c(
"flanker", # Flanker Inhibitory Control & Attention
"picture", # Picture Sequence Memory
"picvocab", # Picture Vocabulary
"pattern", # Pattern Comparison Processing Speed
"reading" # Oral Reading Recognition: Language
),
names_to = "variable",
values_to = "value"
)
# check duplicate
g_factor_5task_long.scaled %>%
group_by(session_id, variable) %>%
dplyr::summarise(
count = sum(!is.na(value)),
duplicate = any(duplicated(participant_id))
) %>%
knitr::kable()| session_id | variable | count | duplicate |
|---|---|---|---|
| 0 | flanker | 11684 | FALSE |
| 0 | pattern | 11666 | FALSE |
| 0 | picture | 11678 | FALSE |
| 0 | picvocab | 11690 | FALSE |
| 0 | reading | 11676 | FALSE |
| 2 | flanker | 8139 | FALSE |
| 2 | pattern | 8102 | FALSE |
| 2 | picture | 10368 | FALSE |
| 2 | picvocab | 10340 | FALSE |
| 2 | reading | 10296 | FALSE |
| 4 | flanker | 7200 | FALSE |
| 4 | pattern | 7180 | FALSE |
| 4 | picture | 9226 | FALSE |
| 4 | picvocab | 9280 | FALSE |
| 4 | reading | 9227 | FALSE |
| 6 | flanker | 4649 | FALSE |
| 6 | pattern | 4623 | FALSE |
| 6 | picture | 4869 | FALSE |
| 6 | picvocab | 4885 | FALSE |
| 6 | reading | 4869 | FALSE |
Wide form (Scaled)
g_factor_5task_wide.scaled <- g_factor_5task.scaled %>%
pivot_wider(
names_from = session_id,
values_from = c(
"flanker", # Flanker Inhibitory Control & Attention
"picture", # Picture Sequence Memory
"picvocab", # Picture Vocabulary
"pattern", # Pattern Comparison Processing Speed
"reading" # Oral Reading Recognition: Language
)
)
# check duplicate
g_factor_5task_wide.scaled %>%
select(participant_id) %>%
dplyr::summarise(
count = sum(!is.na(participant_id)),
duplicate = any(duplicated(participant_id))
) %>%
knitr::kable()| count | duplicate |
|---|---|
| 11865 | FALSE |
Descriptive Stat Summary
g_factor_5task_wide.scaled %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | |
|---|---|---|---|---|
| flanker_0 | 11684 | 98.47450 | -0.5973115 | 0.9584594 |
| flanker_2 | 8139 | 68.59671 | 0.0508369 | 0.8032913 |
| flanker_4 | 7200 | 60.68268 | 0.4503811 | 0.8089982 |
| flanker_6 | 4649 | 39.18247 | 0.7146661 | 0.7968076 |
| pattern_0 | 11666 | 98.32280 | -0.7434683 | 0.7123004 |
| pattern_2 | 8102 | 68.28487 | 0.0161436 | 0.7348179 |
| pattern_4 | 7180 | 60.51412 | 0.5566457 | 0.8148978 |
| pattern_6 | 4623 | 38.96334 | 0.9832985 | 0.8532500 |
| picture_0 | 11678 | 98.42394 | -0.3651390 | 0.8619823 |
| picture_2 | 10368 | 87.38306 | 0.0437303 | 0.9056706 |
| picture_4 | 9226 | 77.75811 | 0.2638357 | 1.0838482 |
| picture_6 | 4869 | 41.03666 | 0.2827171 | 1.0644159 |
| picvocab_0 | 11690 | 98.52507 | -0.5606913 | 0.8356064 |
| picvocab_2 | 10340 | 87.14707 | -0.0968125 | 0.8769716 |
| picvocab_4 | 9280 | 78.21323 | 0.4130887 | 0.9241985 |
| picvocab_6 | 4885 | 41.17151 | 0.7619366 | 0.9008714 |
| reading_0 | 11676 | 98.40708 | -0.5991374 | 0.8527065 |
| reading_2 | 10296 | 86.77623 | -0.0929172 | 0.8255717 |
| reading_4 | 9227 | 77.76654 | 0.4533111 | 0.8963222 |
| reading_6 | 4869 | 41.03666 | 0.7741840 | 0.9126411 |
Plot
# All tasks plot
g_5task_plot <- Rmisc::summarySE(
g_factor_5task_long.scaled %>%
mutate(variable = factor(
variable,
levels = c(
"flanker", # Flanker Inhibitory Control & Attention
"picture", # Picture Sequence Memory
"picvocab", # Picture Vocabulary
"pattern", # Pattern Comparison Processing Speed
"reading" # Oral Reading Recognition: Language
)
)),
measurevar = "value",
na.rm = T,
groupvars = c("variable", "session_id")
) %>%
ggplot(aes(session_id, value, color = variable, group = variable)) +
geom_errorbar(
aes(x = session_id, y = value, ymin = value - ci, ymax = value + ci),
alpha = 1, position = position_dodge(width = .5), colour = "black"
) +
stat_summary(fun.y = mean, geom = "line", position = position_dodge(width = .5), linewidth = 1.5) +
theme_bw(base_size = 20) +
ylab("Children's\nCognitive Functoning") +
labs(color = "Task") +
scale_x_discrete(labels = c("10", "12", "14", "16")) +
theme(axis.title.x = element_blank())
g_5task_plot %>% saveRDS("g_5task_plot.rds")readRDS("g_5task_plot.rds") +
theme(
axis.title.x = element_text(),
legend.position = "bottom"
) +
guides(color = guide_legend(nrow = 2)) +
labs(x = expression("Time points (" * italic(M)["age"] * ", y/o)"))
Load CBCL (Child p factor)
CBCL definitions from Michelini et al. Translational Psychiatry (2019)
pc_factor <- abcd6_all %>%
select(contains(c("_id", "cbcl"))) %>% # select id & cbcl items
select(contains(c("_id", "_0"))) %>% # select only items, not sum scores
select(-contains("othpr")) # excluded other problem itemsValid data N & % in session_id
pc_factor %>%
pivot_longer(where(is.numeric), names_to = "variable", values_to = "value") %>%
group_by(session_id, variable) %>%
dplyr::summarise(N = sum(!is.na(value)), Pct = round(mean(!is.na(value)) * 100, 2), .groups = "drop") %>%
pivot_wider(
names_from = session_id,
values_from = c(N, Pct),
names_glue = "{.value}_{session_id}"
) %>%
relocate(variable, {
sessions <- str_remove(names(.)[-1], "^(N|Pct)_") %>% unique()
as.vector(rbind(
paste0("N_", sessions),
paste0("Pct_", sessions)
))
}) %>%
DT::datatable(options = list(pageLength = 10, scrollY = "450px", scrollX = TRUE))98% availability across all cbcl items in all 7 time points (0-6)
Check Low Freq CBCL items
Because some CBCL items may exhibit a high proportion of zero responses when no problems are observed, we examined item frequency distributions to identify low-frequency items.
pc_lowcheck <- pc_factor
# check total items
pc_lowcheck %>%
select(contains("cbcl")) %>%
ncol() # n of total items = 103[1] 103
# Check only 0 responses
pc_lowcheck[, 3:ncol(pc_lowcheck)] <- ifelse(pc_lowcheck[, 3:ncol(pc_lowcheck)] == 0, 1, NA)
# Check items with zero response >= 99.5% across all timelines
# Baseline
lowfreq_cbcl6_b <- pc_lowcheck %>%
filter(session_id == "0") %>%
descr(
stats = c("n.valid", "pct.valid"),
transpose = TRUE,
headings = FALSE
) %>%
filter(Pct.Valid >= 99.5) %>%
rownames()
# 1 Year Follow-up
lowfreq_cbcl6_1 <- pc_lowcheck %>%
filter(session_id == "1") %>%
descr(
stats = c("n.valid", "pct.valid"),
transpose = TRUE,
headings = FALSE
) %>%
filter(Pct.Valid >= 99.5) %>%
rownames()
# 2 Year Follow-up
lowfreq_cbcl6_2 <- pc_lowcheck %>%
filter(session_id == "2") %>%
descr(
stats = c("n.valid", "pct.valid"),
transpose = TRUE,
headings = FALSE
) %>%
filter(Pct.Valid >= 99.5) %>%
rownames()
# 3 Year Follow-up
lowfreq_cbcl6_3 <- pc_lowcheck %>%
filter(session_id == "3") %>%
descr(
stats = c("n.valid", "pct.valid"),
transpose = TRUE,
headings = FALSE
) %>%
filter(Pct.Valid >= 99.5) %>%
rownames()
# 4 Year Follow-up
lowfreq_cbcl6_4 <- pc_lowcheck %>%
filter(session_id == "4") %>%
descr(
stats = c("n.valid", "pct.valid"),
transpose = TRUE,
headings = FALSE
) %>%
filter(Pct.Valid >= 99.5) %>%
rownames()
# 5 Year Follow-up
lowfreq_cbcl6_5 <- pc_lowcheck %>%
filter(session_id == "5") %>%
descr(
stats = c("n.valid", "pct.valid"),
transpose = TRUE,
headings = FALSE
) %>%
filter(Pct.Valid >= 99.5) %>%
rownames()
# 6 Year Follow-up
lowfreq_cbcl6_6 <- pc_lowcheck %>%
filter(session_id == "6") %>%
descr(
stats = c("n.valid", "pct.valid"),
transpose = TRUE,
headings = FALSE
) %>%
filter(Pct.Valid >= 99.5) %>%
rownames()
# low frequecy item Summary
# Baseline:
lowfreq_cbcl6_b # rule__cond_010, rule__001, rule__003, rule__005, rule__006[1] "mh_p_cbcl__rule__cond_010" "mh_p_cbcl__rule_001"
[3] "mh_p_cbcl__rule_003" "mh_p_cbcl__rule_005"
[5] "mh_p_cbcl__rule_006"
# 1Year:
lowfreq_cbcl6_1 # rule__001, rule__003, rule__005, rule__006[1] "mh_p_cbcl__rule_001" "mh_p_cbcl__rule_003" "mh_p_cbcl__rule_005"
[4] "mh_p_cbcl__rule_006"
# 2Year:
lowfreq_cbcl6_2character(0)
# 3Year:
lowfreq_cbcl6_3character(0)
# 4Year:
lowfreq_cbcl6_4character(0)
# 5Year:
lowfreq_cbcl6_5character(0)
# 6Year:
lowfreq_cbcl6_6character(0)
low freq Item Description (7 unique items)
mh_p_cbcl__rule_001 = Drinks alcohol without parents’ approval mh_p_cbcl__rule_003 = Sexual problems mh_p_cbcl__rule_005 = Smokes, chews, or sniffs tobacco mh_p_cbcl__rule__cond_010 = Truancy, skips school 101 mh_p_cbcl__rule_006 = Uses drugs for non medical purposes (don’t include alcohol or tobacco)
Cut Low Freq CBCL items
# Cut low frequecy items across all timelines
pc_factor_nolow <- pc_factor %>%
select(-all_of(c(
lowfreq_cbcl6_b,
lowfreq_cbcl6_1,
lowfreq_cbcl6_2,
lowfreq_cbcl6_3,
lowfreq_cbcl6_4,
lowfreq_cbcl6_5,
lowfreq_cbcl6_6
)))
# n of remaining items = 96 out of 103
pc_factor_nolow %>%
select(contains("cbcl")) %>%
ncol()[1] 98
Calculate Composite scores for CBCL
The calculation was based on CBCL manual (Achenbach, 2015)

pc_factor_nolow <- pc_factor_nolow %>%
mutate(
# Anxious/Depressed composite score
anxdep_comp = rowMeans(
pc_factor_nolow %>%
select(contains("anxdep"))
),
# Withdrawn/Depressed composite score
withdep_comp = rowMeans(
pc_factor_nolow %>%
select(contains("wthdep"))
),
# Somatic complaints composite score
soma_comp = rowMeans(
pc_factor_nolow %>%
select(contains("som"))
),
# Social Problems composite score
socprob_comp = rowMeans(
pc_factor_nolow %>%
select(contains("soc"))
),
# Thought Problems composite score
thouprob_comp = rowMeans(
pc_factor_nolow %>%
select(contains("tho"))
),
# Attention Problems composite score
attprob_comp = rowMeans(
pc_factor_nolow %>%
select(contains("attn"))
),
# Rule-breaking behavior composite score
rulebreak_comp = rowMeans(
pc_factor_nolow %>%
select(contains("rule"))
),
# Aggressive behavior composite score
aggress_comp = rowMeans(
pc_factor_nolow %>%
select(contains("aggr"))
)
) %>%
mutate(
Int_comp = rowMeans(
pc_factor_nolow %>%
select(contains(c("anxdep", "wthdep", "som"))
)
),
Ext_comp = rowMeans(
pc_factor_nolow %>%
select(contains(c("rule", "aggr"))
)
),
total_comp = rowMeans(
pc_factor_nolow %>%
select(contains(c("anxdep", "wthdep",
"soc","tho","attn",
"som", "rule", "aggr"))
)
)
)Check data
pc_factor_nolow_comp <- pc_factor_nolow %>%
select(
"participant_id",
"session_id",
"anxdep_comp",
"withdep_comp",
"soma_comp",
"socprob_comp",
"thouprob_comp",
"attprob_comp",
"rulebreak_comp",
"aggress_comp",
"Int_comp",
"Ext_comp",
"total_comp"
)
# Year 0 (Baseline)
pc_factor_nolow_comp %>%
filter(session_id == "0") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| aggress_comp | 11829 | 99.93242 | 0.1813622 | 0.2420270 | 0 | 2.000000 |
| anxdep_comp | 11830 | 99.94086 | 0.1938553 | 0.2358948 | 0 | 2.000000 |
| attprob_comp | 11830 | 99.94086 | 0.2979713 | 0.3494753 | 0 | 2.000000 |
| Ext_comp | 11829 | 99.93242 | 0.1483191 | 0.1950601 | 0 | 1.633333 |
| Int_comp | 11830 | 99.94086 | 0.1578957 | 0.1729082 | 0 | 1.593750 |
| rulebreak_comp | 11830 | 99.94086 | 0.0987602 | 0.1536017 | 0 | 1.500000 |
| socprob_comp | 11830 | 99.94086 | 0.1478368 | 0.2073523 | 0 | 1.636364 |
| soma_comp | 11830 | 99.94086 | 0.1360332 | 0.1777167 | 0 | 1.454546 |
| thouprob_comp | 11830 | 99.94086 | 0.1081037 | 0.1464748 | 0 | 1.200000 |
| total_comp | 11829 | 99.93242 | 0.1605006 | 0.1654055 | 0 | 1.244898 |
| withdep_comp | 11830 | 99.94086 | 0.1295224 | 0.2137603 | 0 | 1.875000 |
# Year 1
pc_factor_nolow_comp %>%
filter(session_id == "1") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| aggress_comp | 11201 | 99.85736 | 0.1699303 | 0.2327879 | 0 | 1.833333 |
| anxdep_comp | 11201 | 99.85736 | 0.1956419 | 0.2364940 | 0 | 1.692308 |
| attprob_comp | 11201 | 99.85736 | 0.2859388 | 0.3430659 | 0 | 1.900000 |
| Ext_comp | 11201 | 99.85736 | 0.1390114 | 0.1879545 | 0 | 1.566667 |
| Int_comp | 11201 | 99.85736 | 0.1598881 | 0.1738142 | 0 | 1.500000 |
| rulebreak_comp | 11201 | 99.85736 | 0.0926331 | 0.1496700 | 0 | 1.416667 |
| socprob_comp | 11201 | 99.85736 | 0.1364002 | 0.1985824 | 0 | 1.727273 |
| soma_comp | 11201 | 99.85736 | 0.1323258 | 0.1772980 | 0 | 1.636364 |
| thouprob_comp | 11201 | 99.85736 | 0.1075737 | 0.1483021 | 0 | 1.333333 |
| total_comp | 11201 | 99.85736 | 0.1557159 | 0.1618239 | 0 | 1.163265 |
| withdep_comp | 11201 | 99.85736 | 0.1396862 | 0.2226357 | 0 | 1.750000 |
# Year 2
pc_factor_nolow_comp %>%
filter(session_id == "2") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| aggress_comp | 10866 | 99.30543 | 0.1582408 | 0.2247163 | 0 | 1.833333 |
| anxdep_comp | 10867 | 99.31457 | 0.1775170 | 0.2294878 | 0 | 1.846154 |
| attprob_comp | 10867 | 99.31457 | 0.2732585 | 0.3326694 | 0 | 1.900000 |
| Ext_comp | 10866 | 99.30543 | 0.1299804 | 0.1840467 | 0 | 1.633333 |
| Int_comp | 10867 | 99.31457 | 0.1539725 | 0.1765219 | 0 | 1.562500 |
| rulebreak_comp | 10867 | 99.31457 | 0.0875893 | 0.1505588 | 0 | 1.416667 |
| socprob_comp | 10867 | 99.31457 | 0.1197955 | 0.1891053 | 0 | 1.545454 |
| soma_comp | 10867 | 99.31457 | 0.1240202 | 0.1715656 | 0 | 1.454546 |
| thouprob_comp | 10867 | 99.31457 | 0.0958928 | 0.1402050 | 0 | 1.466667 |
| total_comp | 10866 | 99.30543 | 0.1460697 | 0.1585952 | 0 | 1.520408 |
| withdep_comp | 10867 | 99.31457 | 0.1568970 | 0.2467095 | 0 | 2.000000 |
# Year 3
pc_factor_nolow_comp %>%
filter(session_id == "3") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| aggress_comp | 10194 | 97.69046 | 0.1580232 | 0.2216938 | 0 | 1.888889 |
| anxdep_comp | 10196 | 97.70963 | 0.1791879 | 0.2351558 | 0 | 1.846154 |
| attprob_comp | 10197 | 97.71921 | 0.2784250 | 0.3340042 | 0 | 2.000000 |
| Ext_comp | 10194 | 97.69046 | 0.1293964 | 0.1824732 | 0 | 1.633333 |
| Int_comp | 10196 | 97.70963 | 0.1606206 | 0.1854531 | 0 | 1.531250 |
| rulebreak_comp | 10196 | 97.70963 | 0.0864636 | 0.1503602 | 0 | 1.416667 |
| socprob_comp | 10195 | 97.70005 | 0.1090017 | 0.1792432 | 0 | 1.636364 |
| soma_comp | 10197 | 97.71921 | 0.1223711 | 0.1748821 | 0 | 1.818182 |
| thouprob_comp | 10196 | 97.70963 | 0.0932261 | 0.1381155 | 0 | 1.666667 |
| total_comp | 10194 | 97.69046 | 0.1469742 | 0.1601253 | 0 | 1.285714 |
| withdep_comp | 10197 | 97.71921 | 0.1830073 | 0.2701748 | 0 | 1.875000 |
# Year 4
pc_factor_nolow_comp %>%
filter(session_id == "4") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| aggress_comp | 9460 | 97.91947 | 0.1378788 | 0.2057318 | 0 | 1.777778 |
| anxdep_comp | 9459 | 97.90912 | 0.1717209 | 0.2341512 | 0 | 1.769231 |
| attprob_comp | 9460 | 97.91947 | 0.2561099 | 0.3282191 | 0 | 2.000000 |
| Ext_comp | 9460 | 97.91947 | 0.1175159 | 0.1755486 | 0 | 1.600000 |
| Int_comp | 9457 | 97.88842 | 0.1624689 | 0.1939170 | 0 | 1.593750 |
| rulebreak_comp | 9460 | 97.91947 | 0.0869715 | 0.1577154 | 0 | 1.416667 |
| socprob_comp | 9460 | 97.91947 | 0.0977321 | 0.1746882 | 0 | 1.636364 |
| soma_comp | 9459 | 97.90912 | 0.1259214 | 0.1846649 | 0 | 1.545454 |
| thouprob_comp | 9460 | 97.91947 | 0.0876815 | 0.1357535 | 0 | 1.133333 |
| total_comp | 9457 | 97.88842 | 0.1395122 | 0.1599108 | 0 | 1.336735 |
| withdep_comp | 9460 | 97.91947 | 0.1978858 | 0.2907554 | 0 | 2.000000 |
# Year 5
pc_factor_nolow_comp %>%
filter(session_id == "5") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| aggress_comp | 8657 | 97.52169 | 0.1372428 | 0.2065644 | 0 | 1.722222 |
| anxdep_comp | 8657 | 97.52169 | 0.1806630 | 0.2413136 | 0 | 1.846154 |
| attprob_comp | 8657 | 97.52169 | 0.2583343 | 0.3267391 | 0 | 1.800000 |
| Ext_comp | 8657 | 97.52169 | 0.1205922 | 0.1805864 | 0 | 1.633333 |
| Int_comp | 8656 | 97.51042 | 0.1770376 | 0.2057834 | 0 | 1.593750 |
| rulebreak_comp | 8657 | 97.52169 | 0.0956163 | 0.1687617 | 0 | 1.583333 |
| socprob_comp | 8657 | 97.52169 | 0.0945005 | 0.1733682 | 0 | 1.363636 |
| soma_comp | 8656 | 97.51042 | 0.1401550 | 0.2030014 | 0 | 1.727273 |
| thouprob_comp | 8657 | 97.52169 | 0.0949059 | 0.1451865 | 0 | 1.266667 |
| total_comp | 8656 | 97.51042 | 0.1462110 | 0.1656991 | 0 | 1.285714 |
| withdep_comp | 8657 | 97.52169 | 0.2219302 | 0.3013235 | 0 | 1.875000 |
# Year 6
pc_factor_nolow_comp %>%
filter(session_id == "6") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| aggress_comp | 4976 | 98.59322 | 0.1118257 | 0.1816735 | 0 | 1.555556 |
| anxdep_comp | 4976 | 98.59322 | 0.1554848 | 0.2224789 | 0 | 1.538461 |
| attprob_comp | 4976 | 98.59322 | 0.2282556 | 0.3129652 | 0 | 1.900000 |
| Ext_comp | 4976 | 98.59322 | 0.0996852 | 0.1611035 | 0 | 1.533333 |
| Int_comp | 4976 | 98.59322 | 0.1578766 | 0.1945712 | 0 | 1.375000 |
| rulebreak_comp | 4976 | 98.59322 | 0.0814744 | 0.1554811 | 0 | 1.500000 |
| socprob_comp | 4976 | 98.59322 | 0.0777733 | 0.1546924 | 0 | 1.272727 |
| soma_comp | 4976 | 98.59322 | 0.1354319 | 0.2026342 | 0 | 1.454546 |
| thouprob_comp | 4976 | 98.59322 | 0.0781752 | 0.1257144 | 0 | 1.266667 |
| total_comp | 4976 | 98.59322 | 0.1260540 | 0.1502787 | 0 | 1.163265 |
| withdep_comp | 4976 | 98.59322 | 0.1926246 | 0.2873901 | 0 | 1.750000 |
Scaled score: Z score
pc_factor_nolow_comp.scaled <- pc_factor_nolow_comp %>%
mutate_at(scale,
.vars = c(
"anxdep_comp",
"withdep_comp",
"soma_comp",
"socprob_comp",
"thouprob_comp",
"attprob_comp",
"rulebreak_comp",
"aggress_comp",
"Int_comp",
"Ext_comp",
"total_comp"
),
center = TRUE,
scale = TRUE
)Reconstruct Data
Long form (Scaled)
pc_factor_nolow_long.scaled <- pc_factor_nolow_comp.scaled %>%
pivot_longer(
cols = c(
"anxdep_comp",
"withdep_comp",
"soma_comp",
"socprob_comp",
"thouprob_comp",
"attprob_comp",
"rulebreak_comp",
"aggress_comp",
"Int_comp",
"Ext_comp",
"total_comp"
),
names_to = "variable",
values_to = "value"
)
# check duplicate
pc_factor_nolow_long.scaled %>%
group_by(session_id, variable) %>%
dplyr::summarise(
count = sum(!is.na(value)),
duplicate = any(duplicated(participant_id))
) %>%
knitr::kable()`summarise()` has grouped output by 'session_id'. You can override using the
`.groups` argument.
| session_id | variable | count | duplicate |
|---|---|---|---|
| 0 | Ext_comp | 11829 | FALSE |
| 0 | Int_comp | 11830 | FALSE |
| 0 | aggress_comp | 11829 | FALSE |
| 0 | anxdep_comp | 11830 | FALSE |
| 0 | attprob_comp | 11830 | FALSE |
| 0 | rulebreak_comp | 11830 | FALSE |
| 0 | socprob_comp | 11830 | FALSE |
| 0 | soma_comp | 11830 | FALSE |
| 0 | thouprob_comp | 11830 | FALSE |
| 0 | total_comp | 11829 | FALSE |
| 0 | withdep_comp | 11830 | FALSE |
| 1 | Ext_comp | 11201 | FALSE |
| 1 | Int_comp | 11201 | FALSE |
| 1 | aggress_comp | 11201 | FALSE |
| 1 | anxdep_comp | 11201 | FALSE |
| 1 | attprob_comp | 11201 | FALSE |
| 1 | rulebreak_comp | 11201 | FALSE |
| 1 | socprob_comp | 11201 | FALSE |
| 1 | soma_comp | 11201 | FALSE |
| 1 | thouprob_comp | 11201 | FALSE |
| 1 | total_comp | 11201 | FALSE |
| 1 | withdep_comp | 11201 | FALSE |
| 2 | Ext_comp | 10866 | FALSE |
| 2 | Int_comp | 10867 | FALSE |
| 2 | aggress_comp | 10866 | FALSE |
| 2 | anxdep_comp | 10867 | FALSE |
| 2 | attprob_comp | 10867 | FALSE |
| 2 | rulebreak_comp | 10867 | FALSE |
| 2 | socprob_comp | 10867 | FALSE |
| 2 | soma_comp | 10867 | FALSE |
| 2 | thouprob_comp | 10867 | FALSE |
| 2 | total_comp | 10866 | FALSE |
| 2 | withdep_comp | 10867 | FALSE |
| 3 | Ext_comp | 10194 | FALSE |
| 3 | Int_comp | 10196 | FALSE |
| 3 | aggress_comp | 10194 | FALSE |
| 3 | anxdep_comp | 10196 | FALSE |
| 3 | attprob_comp | 10197 | FALSE |
| 3 | rulebreak_comp | 10196 | FALSE |
| 3 | socprob_comp | 10195 | FALSE |
| 3 | soma_comp | 10197 | FALSE |
| 3 | thouprob_comp | 10196 | FALSE |
| 3 | total_comp | 10194 | FALSE |
| 3 | withdep_comp | 10197 | FALSE |
| 4 | Ext_comp | 9460 | FALSE |
| 4 | Int_comp | 9457 | FALSE |
| 4 | aggress_comp | 9460 | FALSE |
| 4 | anxdep_comp | 9459 | FALSE |
| 4 | attprob_comp | 9460 | FALSE |
| 4 | rulebreak_comp | 9460 | FALSE |
| 4 | socprob_comp | 9460 | FALSE |
| 4 | soma_comp | 9459 | FALSE |
| 4 | thouprob_comp | 9460 | FALSE |
| 4 | total_comp | 9457 | FALSE |
| 4 | withdep_comp | 9460 | FALSE |
| 5 | Ext_comp | 8657 | FALSE |
| 5 | Int_comp | 8656 | FALSE |
| 5 | aggress_comp | 8657 | FALSE |
| 5 | anxdep_comp | 8657 | FALSE |
| 5 | attprob_comp | 8657 | FALSE |
| 5 | rulebreak_comp | 8657 | FALSE |
| 5 | socprob_comp | 8657 | FALSE |
| 5 | soma_comp | 8656 | FALSE |
| 5 | thouprob_comp | 8657 | FALSE |
| 5 | total_comp | 8656 | FALSE |
| 5 | withdep_comp | 8657 | FALSE |
| 6 | Ext_comp | 4976 | FALSE |
| 6 | Int_comp | 4976 | FALSE |
| 6 | aggress_comp | 4976 | FALSE |
| 6 | anxdep_comp | 4976 | FALSE |
| 6 | attprob_comp | 4976 | FALSE |
| 6 | rulebreak_comp | 4976 | FALSE |
| 6 | socprob_comp | 4976 | FALSE |
| 6 | soma_comp | 4976 | FALSE |
| 6 | thouprob_comp | 4976 | FALSE |
| 6 | total_comp | 4976 | FALSE |
| 6 | withdep_comp | 4976 | FALSE |
Wide form (Scaled)
pc_factor_nolow_wide.scaled <- pc_factor_nolow_comp.scaled %>%
pivot_wider(
names_from = session_id,
values_from = c(
"anxdep_comp",
"withdep_comp",
"soma_comp",
"socprob_comp",
"thouprob_comp",
"attprob_comp",
"rulebreak_comp",
"aggress_comp",
"Int_comp",
"Ext_comp",
"total_comp"
)
)
# check duplicate
pc_factor_nolow_wide.scaled %>%
select(participant_id) %>%
dplyr::summarise(
count = sum(!is.na(participant_id)),
duplicate = any(duplicated(participant_id))
) %>%
knitr::kable()| count | duplicate |
|---|---|
| 11867 | FALSE |
Descriptive Stat Summary
pc_factor_nolow_wide.scaled %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | |
|---|---|---|---|---|
| aggress_comp_0 | 11829 | 99.67978 | 0.1178066 | 1.0905407 |
| aggress_comp_1 | 11201 | 94.38780 | 0.0662959 | 1.0489102 |
| aggress_comp_2 | 10866 | 91.56484 | 0.0136247 | 1.0125410 |
| aggress_comp_3 | 10194 | 85.90208 | 0.0126445 | 0.9989217 |
| aggress_comp_4 | 9460 | 79.71686 | -0.0781237 | 0.9269994 |
| aggress_comp_5 | 8657 | 72.95020 | -0.0809892 | 0.9307508 |
| aggress_comp_6 | 4976 | 41.93141 | -0.1955155 | 0.8185959 |
| anxdep_comp_0 | 11830 | 99.68821 | 0.0521224 | 1.0054641 |
| anxdep_comp_1 | 11201 | 94.38780 | 0.0597376 | 1.0080180 |
| anxdep_comp_2 | 10867 | 91.57327 | -0.0175169 | 0.9781554 |
| anxdep_comp_3 | 10196 | 85.91893 | -0.0103948 | 1.0023141 |
| anxdep_comp_4 | 9459 | 79.70844 | -0.0422219 | 0.9980322 |
| anxdep_comp_5 | 8657 | 72.95020 | -0.0041073 | 1.0285607 |
| anxdep_comp_6 | 4976 | 41.93141 | -0.1114256 | 0.9482810 |
| attprob_comp_0 | 11830 | 99.68821 | 0.0749407 | 1.0420175 |
| attprob_comp_1 | 11201 | 94.38780 | 0.0390638 | 1.0229068 |
| attprob_comp_2 | 10867 | 91.57327 | 0.0012555 | 0.9919080 |
| attprob_comp_3 | 10197 | 85.92736 | 0.0166604 | 0.9958878 |
| attprob_comp_4 | 9460 | 79.71686 | -0.0498757 | 0.9786385 |
| attprob_comp_5 | 8657 | 72.95020 | -0.0432434 | 0.9742258 |
| attprob_comp_6 | 4976 | 41.93141 | -0.1329278 | 0.9331565 |
| Ext_comp_0 | 11829 | 99.67978 | 0.1028794 | 1.0616998 |
| Ext_comp_1 | 11201 | 94.38780 | 0.0522181 | 1.0230245 |
| Ext_comp_2 | 10866 | 91.56484 | 0.0030628 | 1.0017548 |
| Ext_comp_3 | 10194 | 85.90208 | -0.0001158 | 0.9931902 |
| Ext_comp_4 | 9460 | 79.71686 | -0.0647808 | 0.9555001 |
| Ext_comp_5 | 8657 | 72.95020 | -0.0480364 | 0.9829204 |
| Ext_comp_6 | 4976 | 41.93141 | -0.1618322 | 0.8768763 |
| Int_comp_0 | 11830 | 99.68821 | -0.0174216 | 0.9355886 |
| Int_comp_1 | 11201 | 94.38780 | -0.0066412 | 0.9404909 |
| Int_comp_2 | 10867 | 91.57327 | -0.0386499 | 0.9551419 |
| Int_comp_3 | 10196 | 85.91893 | -0.0026776 | 1.0034681 |
| Int_comp_4 | 9457 | 79.69158 | 0.0073236 | 1.0492651 |
| Int_comp_5 | 8656 | 72.94177 | 0.0861532 | 1.1134728 |
| Int_comp_6 | 4976 | 41.93141 | -0.0175253 | 1.0528049 |
| rulebreak_comp_0 | 11830 | 99.68821 | 0.0519231 | 0.9920307 |
| rulebreak_comp_1 | 11201 | 94.38780 | 0.0123513 | 0.9666378 |
| rulebreak_comp_2 | 10867 | 91.57327 | -0.0202236 | 0.9723784 |
| rulebreak_comp_3 | 10196 | 85.91893 | -0.0274939 | 0.9710953 |
| rulebreak_comp_4 | 9460 | 79.71686 | -0.0242142 | 1.0185987 |
| rulebreak_comp_5 | 8657 | 72.95020 | 0.0316180 | 1.0899408 |
| rulebreak_comp_6 | 4976 | 41.93141 | -0.0597166 | 1.0041688 |
| socprob_comp_0 | 11830 | 99.68821 | 0.1676009 | 1.1049493 |
| socprob_comp_1 | 11201 | 94.38780 | 0.1066569 | 1.0582158 |
| socprob_comp_2 | 10867 | 91.57327 | 0.0181733 | 1.0077138 |
| socprob_comp_3 | 10195 | 85.91051 | -0.0393452 | 0.9551601 |
| socprob_comp_4 | 9460 | 79.71686 | -0.0993996 | 0.9308873 |
| socprob_comp_5 | 8657 | 72.95020 | -0.1166201 | 0.9238533 |
| socprob_comp_6 | 4976 | 41.93141 | -0.2057569 | 0.8243329 |
| soma_comp_0 | 11830 | 99.68821 | 0.0304908 | 0.9725337 |
| soma_comp_1 | 11201 | 94.38780 | 0.0102028 | 0.9702427 |
| soma_comp_2 | 10867 | 91.57327 | -0.0352490 | 0.9388727 |
| soma_comp_3 | 10197 | 85.92736 | -0.0442734 | 0.9570220 |
| soma_comp_4 | 9459 | 79.70844 | -0.0248446 | 1.0105572 |
| soma_comp_5 | 8656 | 72.94177 | 0.0530470 | 1.1109016 |
| soma_comp_6 | 4976 | 41.93141 | 0.0272003 | 1.1088922 |
| thouprob_comp_0 | 11830 | 99.68821 | 0.0784291 | 1.0336693 |
| thouprob_comp_1 | 11201 | 94.38780 | 0.0746892 | 1.0465645 |
| thouprob_comp_2 | 10867 | 91.57327 | -0.0077431 | 0.9894232 |
| thouprob_comp_3 | 10196 | 85.91893 | -0.0265617 | 0.9746778 |
| thouprob_comp_4 | 9460 | 79.71686 | -0.0656900 | 0.9580090 |
| thouprob_comp_5 | 8657 | 72.95020 | -0.0147077 | 1.0245775 |
| thouprob_comp_6 | 4976 | 41.93141 | -0.1327752 | 0.8871630 |
| total_comp_0 | 11829 | 99.67978 | 0.0776660 | 1.0251085 |
| total_comp_1 | 11201 | 94.38780 | 0.0480127 | 1.0029115 |
| total_comp_2 | 10866 | 91.56484 | -0.0117696 | 0.9829010 |
| total_comp_3 | 10194 | 85.90208 | -0.0061642 | 0.9923844 |
| total_comp_4 | 9457 | 79.69158 | -0.0524100 | 0.9910548 |
| total_comp_5 | 8656 | 72.94177 | -0.0108945 | 1.0269278 |
| total_comp_6 | 4976 | 41.93141 | -0.1358179 | 0.9313596 |
| withdep_comp_0 | 11830 | 99.68821 | -0.1551739 | 0.8201327 |
| withdep_comp_1 | 11201 | 94.38780 | -0.1161786 | 0.8541849 |
| withdep_comp_2 | 10867 | 91.57327 | -0.0501459 | 0.9465488 |
| withdep_comp_3 | 10197 | 85.92736 | 0.0500311 | 1.0365778 |
| withdep_comp_4 | 9460 | 79.71686 | 0.1071156 | 1.1155391 |
| withdep_comp_5 | 8657 | 72.95020 | 0.1993665 | 1.1560859 |
| withdep_comp_6 | 4976 | 41.93141 | 0.0869298 | 1.1026277 |
Plot
All symptoms plot
# All symptom plots
pc_8symp_plot <- Rmisc::summarySE(
pc_factor_nolow_long.scaled %>%
filter(variable %in% c(
"anxdep_comp", "withdep_comp", "soma_comp",
"attprob_comp", "thouprob_comp", "socprob_comp",
"rulebreak_comp", "aggress_comp"
)),
measurevar = "value",
na.rm = T,
groupvars = c("variable", "session_id")
) %>%
ggplot(aes(session_id, value,
color = factor(variable,
levels = c(
"anxdep_comp", "withdep_comp", "soma_comp",
"attprob_comp", "thouprob_comp", "socprob_comp",
"rulebreak_comp", "aggress_comp", "intru_comp"
),
labels = c(
"Anxious/Depressed", "Withdrawn/Depressed", "Somatic Complaints",
"Attention Problems", "Thought Problems", "Social Problems",
"Rule-Breaking Beh.", "Aggressive Beh.", "Intrusive Beh."
)
),
group = variable
)) +
geom_errorbar(
aes(x = session_id, y = value, ymin = value - ci, ymax = value + ci),
alpha = 1, position = position_dodge(width = .5), colour = "black"
) +
stat_summary(fun.y = mean, geom = "line", position = position_dodge(width = .5), linewidth = 1.5, show.legend = TRUE) +
theme_bw(base_size = 20) +
labs(color = "Symptom") +
scale_color_manual(values = c("purple", "navy", "blue", "green", "lightgreen", "yellow2", "orange", "red", "darkred"), drop = FALSE) +
scale_x_discrete(labels = c("10", "11", "12", "13", "14", "15", "16"))
pc_8symp_plot %>% saveRDS("pc_8symp_plot.rds")readRDS("pc_8symp_plot.rds") +
labs(
x = expression("Time points (" * italic(M)["age"] * ", y/o)"),
y = "Child Psychopathology"
)
p, Int, & Ext plot
# p, Internalizing, Externalizing plot
pc_sum_plot <- Rmisc::summarySE(
pc_factor_nolow_long.scaled %>%
filter(variable %in% c(
"Int_comp",
"Ext_comp",
"total_comp"
)),
measurevar = "value",
na.rm = T,
groupvars = c("variable", "session_id")
) %>%
ggplot(aes(session_id, value, color = variable, group = variable)) +
geom_errorbar(
aes(x = session_id, y = value, ymin = value - ci, ymax = value + ci),
position = position_dodge(width = .5), colour = "black"
) +
stat_summary(fun.y = mean, geom = "line", position = position_dodge(width = .5), linewidth = 1.5) +
theme_bw(base_size = 20) +
scale_x_discrete(labels = c("10", "11", "12", "13", "14", "15", "16")) +
scale_color_discrete(
name = "Symptom",
labels = c(
"Int_comp" = "Internalizing",
"Ext_comp" = "Externalizing",
"total_comp" = "General *p* factor"
)
) +
theme(
legend.text = ggtext::element_markdown()
)
pc_sum_plot %>% saveRDS("pc_sum_plot.rds")readRDS("pc_sum_plot.rds") +
labs(
x = expression("Time points (" * italic(M)["age"] * ", y/o)"),
y = "Child Psychopathology"
)
Load ASR (Parent p factor)
pp_factor <- abcd6_all %>%
select(contains(c("_id", "asr"))) %>% # select id & cbcl items
select(contains(c("_id", "_0"))) %>% # select only items, not sum scores
select(contains(
c(
"_id",
"aggr", # Aggressive item
"anxdep", # Anxious/depressed item
"attn", # Attention item
"intru", # Intrusive beh item
"rule", # Rule breaking item
"som", # Somatic item
"tho", # Thought item
"wthdr" # Withdrawn/depressed item
)
))Valid data N & % in session_id
pp_factor %>%
pivot_longer(where(is.numeric), names_to = "variable", values_to = "value") %>%
group_by(session_id, variable) %>%
dplyr::summarise(N = sum(!is.na(value)), Pct = round(mean(!is.na(value)) * 100, 2), .groups = "drop") %>%
pivot_wider(
names_from = session_id,
values_from = c(N, Pct),
names_glue = "{.value}_{session_id}"
) %>%
relocate(variable, {
sessions <- str_remove(names(.)[-1], "^(N|Pct)_") %>% unique()
as.vector(rbind(
paste0("N_", sessions),
paste0("Pct_", sessions)
))
}) %>%
DT::datatable(options = list(pageLength = 10, scrollY = "450px", scrollX = TRUE))# > 98% availability across all asr items in all 3 time points (0,2,4)Check Low Freq ASR items
pp_lowcheck <- pp_factor
# check total items
pp_lowcheck %>%
filter(session_id == "0") %>%
select(contains("asr")) %>%
ncol() # n of total items = 99[1] 99
# Check only 0 responses
pp_lowcheck[, 3:ncol(pp_lowcheck)] <- ifelse(pp_lowcheck[, 3:ncol(pp_lowcheck)] == 0, 1, NA)
# Check items with zero response >= 99.5% across all timelines
# Baseline
lowfreq_asr6_b <- pp_lowcheck %>%
filter(session_id == "0") %>%
descr(
stats = c("n.valid", "pct.valid"),
transpose = TRUE,
headings = FALSE
) %>%
filter(Pct.Valid >= 99.5) %>%
rownames()
# 2 Year Follow-up
lowfreq_asr6_2 <- pp_lowcheck %>%
filter(session_id == "2") %>%
descr(
stats = c("n.valid", "pct.valid"),
transpose = TRUE,
headings = FALSE
) %>%
filter(Pct.Valid >= 99.5) %>%
rownames()
# 4 Year Follow-up
lowfreq_asr6_4 <- pp_lowcheck %>%
filter(session_id == "4") %>%
descr(
stats = c("n.valid", "pct.valid"),
transpose = TRUE,
headings = FALSE
) %>%
filter(Pct.Valid >= 99.5) %>%
rownames()
# low frequecy item Summary
# Baseline:
lowfreq_asr6_b # Nonecharacter(0)
# 2Year:
lowfreq_asr6_2 # Nonecharacter(0)
# 4Year:
lowfreq_asr6_4 # Nonecharacter(0)
Unlike CBCL, there is no low freq item in ASR
Calculate Composite scores for ASR
The calculation was based on ASR manual (Achenbach & Rescorla, 2003) https://aseba.org/wp-content/uploads/2019/02/dsm-adultratings.pdf

pp_factor <- pp_factor %>%
mutate(
# Anxious/Depressed composite score
asr_anxdep_comp = rowMeans(
pp_factor %>%
select(contains("anxdep"))
),
# Withdrawn/Depressed composite score
asr_withdep_comp = rowMeans(
pp_factor %>%
select(contains("wthdr"))
),
# Somatic complaints composite score
asr_soma_comp = rowMeans(
pp_factor %>%
select(contains("som"))
),
# Thought Problems composite score
asr_thouprob_comp = rowMeans(
pp_factor %>%
select(contains("tho"))
),
# Attention Problems composite score
asr_attprob_comp = rowMeans(
pp_factor %>%
select(contains("attn"))
),
# Rule-breaking behavior composite score
asr_rulebreak_comp = rowMeans(
pp_factor %>%
select(contains("rule"))
),
# Aggressive behavior composite score
asr_aggress_comp = rowMeans(
pp_factor %>%
select(contains("aggr"))
),
# Intrusive composite score
asr_intru_comp = rowMeans(
pp_factor %>%
select(contains("intru"))
)
) %>%
mutate(
asr_Int_comp = rowMeans(
pp_factor %>%
select(contains(c("anxdep", "wthdr", "som"))
)
),
asr_Ext_comp = rowMeans(
pp_factor %>%
select(contains(c("rule", "aggr", "intru"))
)
),
asr_total_comp = rowMeans(
pp_factor %>%
select(contains(c("anxdep", "wthdr", "som",
"tho","attn",
"rule", "aggr", "intru"))
)
)
)Check data
pp_factor_comp <- pp_factor %>%
select(
"participant_id",
"session_id",
"asr_anxdep_comp",
"asr_withdep_comp",
"asr_soma_comp",
"asr_thouprob_comp",
"asr_attprob_comp",
"asr_rulebreak_comp",
"asr_aggress_comp",
"asr_intru_comp",
"asr_Int_comp",
"asr_Ext_comp",
"asr_total_comp"
) %>%
filter(session_id %in% c("0", "2", "4")) # only baseline, 2, and 4 years data
# Year 0 (Baseline)
pp_factor_comp %>%
filter(session_id == "0") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| asr_aggress_comp | 11832 | 99.95776 | 0.2237548 | 0.2377985 | 0 | 1.666667 |
| asr_anxdep_comp | 11832 | 99.95776 | 0.2799142 | 0.2736841 | 0 | 1.944444 |
| asr_attprob_comp | 11832 | 99.95776 | 0.3089926 | 0.2839844 | 0 | 1.800000 |
| asr_Ext_comp | 11832 | 99.95776 | 0.1585676 | 0.1605765 | 0 | 1.114286 |
| asr_Int_comp | 11832 | 99.95776 | 0.2445411 | 0.2240180 | 0 | 1.794872 |
| asr_intru_comp | 11832 | 99.95776 | 0.1673710 | 0.2384347 | 0 | 1.666667 |
| asr_rulebreak_comp | 11832 | 99.95776 | 0.0849512 | 0.1322543 | 0 | 1.285714 |
| asr_soma_comp | 11832 | 99.95776 | 0.2448867 | 0.2650638 | 0 | 1.916667 |
| asr_thouprob_comp | 11832 | 99.95776 | 0.1434162 | 0.1852491 | 0 | 1.800000 |
| asr_total_comp | 11832 | 99.95776 | 0.2136971 | 0.1814377 | 0 | 1.555556 |
| asr_withdep_comp | 11832 | 99.95776 | 0.1733341 | 0.2343300 | 0 | 1.888889 |
# Year 2
pp_factor_comp %>%
filter(session_id == "2") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| asr_aggress_comp | 10868 | 99.32371 | 0.2086799 | 0.2255418 | 0 | 1.733333 |
| asr_anxdep_comp | 10869 | 99.33285 | 0.2796741 | 0.2760941 | 0 | 1.888889 |
| asr_attprob_comp | 10869 | 99.33285 | 0.3055786 | 0.2813315 | 0 | 1.933333 |
| asr_Ext_comp | 10868 | 99.32371 | 0.1468058 | 0.1514277 | 0 | 1.628571 |
| asr_Int_comp | 10869 | 99.33285 | 0.2448082 | 0.2241968 | 0 | 1.666667 |
| asr_intru_comp | 10869 | 99.33285 | 0.1574049 | 0.2309616 | 0 | 1.833333 |
| asr_rulebreak_comp | 10869 | 99.33285 | 0.0759631 | 0.1232583 | 0 | 1.500000 |
| asr_soma_comp | 10869 | 99.33285 | 0.2450317 | 0.2633041 | 0 | 1.833333 |
| asr_thouprob_comp | 10869 | 99.33285 | 0.1278314 | 0.1718694 | 0 | 1.700000 |
| asr_total_comp | 10868 | 99.32371 | 0.2075670 | 0.1766453 | 0 | 1.343434 |
| asr_withdep_comp | 10869 | 99.33285 | 0.1747784 | 0.2311308 | 0 | 2.000000 |
# Year 4
pp_factor_comp %>%
filter(session_id == "4") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| asr_aggress_comp | 9465 | 97.97122 | 0.1919000 | 0.2137016 | 0 | 1.466667 |
| asr_anxdep_comp | 9464 | 97.96087 | 0.2771321 | 0.2727824 | 0 | 1.944444 |
| asr_attprob_comp | 9465 | 97.97122 | 0.3048283 | 0.2891827 | 0 | 1.666667 |
| asr_Ext_comp | 9465 | 97.97122 | 0.1366387 | 0.1457377 | 0 | 1.228571 |
| asr_Int_comp | 9464 | 97.96087 | 0.2424410 | 0.2206516 | 0 | 1.666667 |
| asr_intru_comp | 9465 | 97.97122 | 0.1543582 | 0.2303834 | 0 | 1.666667 |
| asr_rulebreak_comp | 9465 | 97.97122 | 0.0698362 | 0.1179316 | 0 | 1.285714 |
| asr_soma_comp | 9465 | 97.97122 | 0.2433175 | 0.2612750 | 0 | 1.833333 |
| asr_thouprob_comp | 9466 | 97.98158 | 0.1219628 | 0.1631711 | 0 | 1.800000 |
| asr_total_comp | 9464 | 97.96087 | 0.2023190 | 0.1731008 | 0 | 1.474748 |
| asr_withdep_comp | 9465 | 97.97122 | 0.1718612 | 0.2233744 | 0 | 1.777778 |
Scaled score: Z score
pp_factor_comp.scaled <- pp_factor_comp %>%
mutate_at(scale,
.vars = c(
"asr_anxdep_comp",
"asr_withdep_comp",
"asr_soma_comp",
"asr_thouprob_comp",
"asr_attprob_comp",
"asr_rulebreak_comp",
"asr_aggress_comp",
"asr_intru_comp",
"asr_Int_comp",
"asr_Ext_comp",
"asr_total_comp"
),
center = TRUE,
scale = TRUE
)Reconstruct Data
Long form (Scaled)
pp_factor_long.scaled <- pp_factor_comp.scaled %>%
pivot_longer(
cols = c(
"asr_anxdep_comp",
"asr_withdep_comp",
"asr_soma_comp",
"asr_thouprob_comp",
"asr_attprob_comp",
"asr_rulebreak_comp",
"asr_aggress_comp",
"asr_intru_comp",
"asr_Int_comp",
"asr_Ext_comp",
"asr_total_comp"
),
names_to = "variable",
values_to = "value"
)
# check duplicate
pp_factor_long.scaled %>%
group_by(session_id, variable) %>%
dplyr::summarise(
count = sum(!is.na(value)),
duplicate = any(duplicated(participant_id))
) %>%
knitr::kable()`summarise()` has grouped output by 'session_id'. You can override using the
`.groups` argument.
| session_id | variable | count | duplicate |
|---|---|---|---|
| 0 | asr_Ext_comp | 11832 | FALSE |
| 0 | asr_Int_comp | 11832 | FALSE |
| 0 | asr_aggress_comp | 11832 | FALSE |
| 0 | asr_anxdep_comp | 11832 | FALSE |
| 0 | asr_attprob_comp | 11832 | FALSE |
| 0 | asr_intru_comp | 11832 | FALSE |
| 0 | asr_rulebreak_comp | 11832 | FALSE |
| 0 | asr_soma_comp | 11832 | FALSE |
| 0 | asr_thouprob_comp | 11832 | FALSE |
| 0 | asr_total_comp | 11832 | FALSE |
| 0 | asr_withdep_comp | 11832 | FALSE |
| 2 | asr_Ext_comp | 10868 | FALSE |
| 2 | asr_Int_comp | 10869 | FALSE |
| 2 | asr_aggress_comp | 10868 | FALSE |
| 2 | asr_anxdep_comp | 10869 | FALSE |
| 2 | asr_attprob_comp | 10869 | FALSE |
| 2 | asr_intru_comp | 10869 | FALSE |
| 2 | asr_rulebreak_comp | 10869 | FALSE |
| 2 | asr_soma_comp | 10869 | FALSE |
| 2 | asr_thouprob_comp | 10869 | FALSE |
| 2 | asr_total_comp | 10868 | FALSE |
| 2 | asr_withdep_comp | 10869 | FALSE |
| 4 | asr_Ext_comp | 9465 | FALSE |
| 4 | asr_Int_comp | 9464 | FALSE |
| 4 | asr_aggress_comp | 9465 | FALSE |
| 4 | asr_anxdep_comp | 9464 | FALSE |
| 4 | asr_attprob_comp | 9465 | FALSE |
| 4 | asr_intru_comp | 9465 | FALSE |
| 4 | asr_rulebreak_comp | 9465 | FALSE |
| 4 | asr_soma_comp | 9465 | FALSE |
| 4 | asr_thouprob_comp | 9466 | FALSE |
| 4 | asr_total_comp | 9464 | FALSE |
| 4 | asr_withdep_comp | 9465 | FALSE |
Wide form (Scaled)
pp_factor_wide.scaled <- pp_factor_comp.scaled %>%
pivot_wider(
names_from = session_id,
values_from = c(
"asr_anxdep_comp",
"asr_withdep_comp",
"asr_soma_comp",
"asr_thouprob_comp",
"asr_attprob_comp",
"asr_rulebreak_comp",
"asr_aggress_comp",
"asr_intru_comp",
"asr_Int_comp",
"asr_Ext_comp",
"asr_total_comp"
)
)
# check duplicate
pp_factor_wide.scaled %>%
select(participant_id) %>%
dplyr::summarise(
count = sum(!is.na(participant_id)),
duplicate = any(duplicated(participant_id))
) %>%
knitr::kable()| count | duplicate |
|---|---|
| 11865 | FALSE |
Descriptive Stat Summary
pp_factor_wide.scaled %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "max", "min"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Max | Min | |
|---|---|---|---|---|---|---|
| asr_aggress_comp_0 | 11832 | 99.72187 | 0.0636943 | 1.0469440 | 6.416332 | -0.9214200 |
| asr_aggress_comp_2 | 10868 | 91.59713 | -0.0026751 | 0.9929819 | 6.709842 | -0.9214200 |
| asr_aggress_comp_4 | 9465 | 79.77244 | -0.0765513 | 0.9408538 | 5.535802 | -0.9214200 |
| asr_anxdep_comp_0 | 11832 | 99.72187 | 0.0032809 | 0.9980064 | 6.073095 | -1.0174437 |
| asr_anxdep_comp_2 | 10869 | 91.60556 | 0.0024054 | 1.0067945 | 5.870508 | -1.0174437 |
| asr_anxdep_comp_4 | 9464 | 79.76401 | -0.0068643 | 0.9947182 | 6.073095 | -1.0174437 |
| asr_attprob_comp_0 | 11832 | 99.72187 | 0.0083580 | 0.9977244 | 5.246725 | -1.0772277 |
| asr_attprob_comp_2 | 10869 | 91.60556 | -0.0036365 | 0.9884038 | 5.715166 | -1.0772277 |
| asr_attprob_comp_4 | 9465 | 79.77244 | -0.0062723 | 1.0159877 | 4.778284 | -1.0772277 |
| asr_Ext_comp_0 | 11832 | 99.72187 | 0.0679300 | 1.0461312 | 6.294287 | -0.9651134 |
| asr_Ext_comp_2 | 10868 | 91.59713 | -0.0086959 | 0.9865281 | 9.644780 | -0.9651134 |
| asr_Ext_comp_4 | 9465 | 79.77244 | -0.0749329 | 0.9494586 | 7.038841 | -0.9651134 |
| asr_Int_comp_0 | 11832 | 99.72187 | 0.0023652 | 1.0041647 | 6.951751 | -1.0937947 |
| asr_Int_comp_2 | 10869 | 91.60556 | 0.0035626 | 1.0049662 | 6.377069 | -1.0937947 |
| asr_Int_comp_4 | 9464 | 79.76401 | -0.0070485 | 0.9890750 | 6.377069 | -1.0937947 |
| asr_intru_comp_0 | 11832 | 99.72187 | 0.0308036 | 1.0205622 | 6.448178 | -0.6855876 |
| asr_intru_comp_2 | 10869 | 91.60556 | -0.0118540 | 0.9885754 | 7.161555 | -0.6855876 |
| asr_intru_comp_4 | 9465 | 79.77244 | -0.0248946 | 0.9861007 | 6.448178 | -0.6855876 |
| asr_rulebreak_comp_0 | 11832 | 99.72187 | 0.0597395 | 1.0555842 | 9.643597 | -0.6182963 |
| asr_rulebreak_comp_2 | 10869 | 91.60556 | -0.0119990 | 0.9837827 | 11.353913 | -0.6182963 |
| asr_rulebreak_comp_4 | 9465 | 79.77244 | -0.0609003 | 0.9412677 | 9.643597 | -0.6182963 |
| asr_soma_comp_0 | 11832 | 99.72187 | 0.0015674 | 1.0065015 | 6.349657 | -0.9283176 |
| asr_soma_comp_2 | 10869 | 91.60556 | 0.0021179 | 0.9998192 | 6.033223 | -0.9283176 |
| asr_soma_comp_4 | 9465 | 79.77244 | -0.0043914 | 0.9921145 | 6.033223 | -0.9283176 |
| asr_thouprob_comp_0 | 11832 | 99.72187 | 0.0662798 | 1.0603751 | 9.548649 | -0.7546415 |
| asr_thouprob_comp_2 | 10869 | 91.60556 | -0.0229278 | 0.9837893 | 8.976244 | -0.7546415 |
| asr_thouprob_comp_4 | 9466 | 79.78087 | -0.0565202 | 0.9339998 | 9.548649 | -0.7546415 |
| asr_total_comp_0 | 11832 | 99.72187 | 0.0305390 | 1.0224551 | 7.592307 | -1.1737075 |
| asr_total_comp_2 | 10868 | 91.59713 | -0.0040060 | 0.9954485 | 6.396942 | -1.1737075 |
| asr_total_comp_4 | 9464 | 79.76401 | -0.0335799 | 0.9754743 | 7.136930 | -1.1737075 |
| asr_withdep_comp_0 | 11832 | 99.72187 | -0.0002376 | 1.0185382 | 7.456588 | -0.7536510 |
| asr_withdep_comp_2 | 10869 | 91.60556 | 0.0060404 | 1.0046323 | 7.939543 | -0.7536510 |
| asr_withdep_comp_4 | 9465 | 79.77244 | -0.0066394 | 0.9709184 | 6.973632 | -0.7536510 |
Plot
All symptoms plot
# All symptom plots
pp_8symp_plot <- Rmisc::summarySE(
pp_factor_long.scaled %>%
filter(variable %in% c(
"asr_anxdep_comp", "asr_withdep_comp", "asr_soma_comp",
"asr_attprob_comp", "asr_thouprob_comp",
"asr_rulebreak_comp", "asr_aggress_comp", "asr_intru_comp"
)),
measurevar = "value",
na.rm = T,
groupvars = c("variable", "session_id")
) %>%
ggplot(aes(session_id, value,
color = factor(variable,
levels = c(
"asr_anxdep_comp", "asr_withdep_comp", "asr_soma_comp",
"asr_attprob_comp", "asr_thouprob_comp", "asr_socprob_comp",
"asr_rulebreak_comp", "asr_aggress_comp", "asr_intru_comp"
),
labels = c(
"Anxious/Depressed", "Withdrawn/Depressed", "Somatic Complaints",
"Attention Problems", "Thought Problems", "Social Problems",
"Rule-Breaking Beh.", "Aggressive Beh.", "Intrusive Beh."
)
),
group = variable
)) +
geom_errorbar(
aes(x = session_id, y = value, ymin = value - ci, ymax = value + ci),
alpha = 1, position = position_dodge(width = .5), colour = "black"
) +
stat_summary(fun.y = mean, geom = "line", position = position_dodge(width = .5), linewidth = 1.5, show.legend = TRUE) +
theme_bw(base_size = 20) +
labs(color = "Symptom") +
scale_color_manual(values = c("purple", "navy", "blue", "green", "lightgreen", "yellow2", "orange", "red", "darkred"), drop = FALSE) +
scale_x_discrete(labels = c("10", "12", "14"))
pp_8symp_plot %>% saveRDS("pp_8symp_plot.rds")readRDS("pp_8symp_plot.rds") +
labs(
x = expression("Time points (" * italic(M)["age"] * ", y/o)"),
y = "Parental Psychopathology"
)
p, Int & Ext plot
pp_sum_plot <- Rmisc::summarySE(
pp_factor_long.scaled %>%
filter(variable %in% c(
"asr_Int_comp",
"asr_Ext_comp",
"asr_total_comp"
)),
measurevar = "value",
na.rm = T,
groupvars = c("variable", "session_id")
) %>%
ggplot(aes(session_id, value, color = variable, group = variable)) +
geom_errorbar(
aes(x = session_id, y = value, ymin = value - ci, ymax = value + ci),
alpha = 1, position = position_dodge(width = .5), colour = "black"
) +
stat_summary(fun.y = mean, geom = "line", position = position_dodge(width = .5), linewidth = 1.5) +
theme_bw(base_size = 20) +
scale_x_discrete(labels = c("10", "12", "14")) +
scale_color_discrete(
name = "Symptom",
labels = c(
"asr_Int_comp" = "Internalizing",
"asr_Ext_comp" = "Externalizing",
"asr_total_comp" = "General *p* factor"
)
) +
theme(
legend.text = ggtext::element_markdown()
)
pp_sum_plot %>% saveRDS("pp_sum_plot.rds")readRDS("pp_sum_plot.rds") +
labs(
x = expression("Time points (" * italic(M)["age"] * ", y/o)"),
y = "Parental Psychopathology"
)
pc & pp Visualization
Symptoms plot
ggpubr::ggarrange(
readRDS("pc_8symp_plot.rds") +
guides(color = guide_legend(nrow = 3)) +
labs(
x = expression("Time points (" * italic(M)["age"] * ", y/o)"),
y = "Children Psychopathology"
),
readRDS("pp_8symp_plot.rds") +
labs(
x = expression("Time points (" * italic(M)["age"] * ", y/o)"),
y = "Parental Psychopathology"
),
common.legend = TRUE,
legend = "bottom",
ncol = 2,
nrow = 1
)
Int, Ext, & p plot
ggpubr::ggarrange(
readRDS("pc_sum_plot.rds") +
labs(
x = expression("Time points (" * italic(M)["age"] * ", y/o)"),
y = "Children Psychopathology"
),
readRDS("pp_sum_plot.rds") +
labs(
x = expression("Time points (" * italic(M)["age"] * ", y/o)"),
y = "Parental Psychopathology"
),
common.legend = TRUE,
legend = "bottom",
ncol = 2,
nrow = 1
)
Load Puberty
puberty6 <- abcd6_all %>%
select(
contains(c("_id", "pds_00", "_mean")), # select id & pds mean score items
"ph_p_pds__m_001", "ph_p_pds__m_002", # select pds male items (parent report)
"ph_p_pds__f_001", "ph_p_pds__f_002", # select pds female items (parent report)
"ph_y_pds__m_001", "ph_y_pds__m_002", # select pds male items (youth report)
"ph_y_pds__f_001", "ph_y_pds__f_002" # select pds female items (youth report)
) %>%
mutate(
ph_p_pds_mean = coalesce(
ph_p_pds__f_mean,
ph_p_pds__m_mean
), # combine mean male and female scores into one in parent report
ph_y_pds_mean = coalesce(
ph_y_pds__f_mean,
ph_y_pds__m_mean
)
) # combine mean male and female scores into one in youth reportValid data N & % in session_id
puberty6 %>%
pivot_longer(where(is.numeric), names_to = "variable", values_to = "value") %>%
group_by(session_id, variable) %>%
dplyr::summarise(N = sum(!is.na(value)), Pct = round(mean(!is.na(value)) * 100, 2), .groups = "drop") %>%
pivot_wider(
names_from = session_id,
values_from = c(N, Pct),
names_glue = "{.value}_{session_id}"
) %>%
relocate(variable, {
sessions <- str_remove(names(.)[-1], "^(N|Pct)_") %>% unique()
as.vector(rbind(
paste0("N_", sessions),
paste0("Pct_", sessions)
))
}) %>%
knitr::kable()| variable | N_0 | Pct_0 | N_1 | Pct_1 | N_2 | Pct_2 | N_3 | Pct_3 | N_4 | Pct_4 | N_5 | Pct_5 | N_6 | Pct_6 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ph_p_pds_001 | 11830 | 99.94 | 11194 | 99.79 | 10848 | 99.14 | 10173 | 97.49 | 9437 | 97.68 | 8664 | 97.60 | 4976 | 98.59 |
| ph_p_pds_002 | 11830 | 99.94 | 11194 | 99.79 | 10848 | 99.14 | 10173 | 97.49 | 9437 | 97.68 | 8664 | 97.60 | 4976 | 98.59 |
| ph_p_pds_003 | 11830 | 99.94 | 11194 | 99.79 | 10848 | 99.14 | 10173 | 97.49 | 9437 | 97.68 | 8664 | 97.60 | 4976 | 98.59 |
| ph_p_pds__f_001 | 5637 | 47.62 | 5333 | 47.54 | 5149 | 47.06 | 4823 | 46.22 | 4463 | 46.20 | 4129 | 46.51 | 2361 | 46.78 |
| ph_p_pds__f_002 | 5637 | 47.62 | 5333 | 47.54 | 5149 | 47.06 | 4823 | 46.22 | 4463 | 46.20 | 4129 | 46.51 | 2361 | 46.78 |
| ph_p_pds__f_mean | 5541 | 46.81 | 5250 | 46.80 | 5080 | 46.43 | 4727 | 45.30 | 4389 | 45.43 | 4060 | 45.74 | 2317 | 45.91 |
| ph_p_pds__m_001 | 6133 | 51.81 | 5839 | 52.05 | 5694 | 52.04 | 5349 | 51.26 | 4973 | 51.48 | 4533 | 51.06 | 2615 | 51.81 |
| ph_p_pds__m_002 | 6133 | 51.81 | 5839 | 52.05 | 5694 | 52.04 | 5349 | 51.26 | 4973 | 51.48 | 4533 | 51.06 | 2615 | 51.81 |
| ph_p_pds__m_mean | 6042 | 51.04 | 5761 | 51.36 | 5633 | 51.48 | 5293 | 50.72 | 4929 | 51.02 | 4500 | 50.69 | 2598 | 51.48 |
| ph_p_pds_mean | 11583 | 97.85 | 11011 | 98.16 | 10713 | 97.91 | 10020 | 96.02 | 9318 | 96.45 | 8560 | 96.43 | 4915 | 97.38 |
| ph_y_pds_001 | 11815 | 99.81 | 11186 | 99.72 | 10901 | 99.63 | 10412 | 99.78 | 9621 | 99.59 | 8843 | 99.62 | 5021 | 99.48 |
| ph_y_pds_002 | 11814 | 99.81 | 11186 | 99.72 | 10901 | 99.63 | 10412 | 99.78 | 9621 | 99.59 | 8843 | 99.62 | 5021 | 99.48 |
| ph_y_pds_003 | 11816 | 99.82 | 11185 | 99.71 | 10901 | 99.63 | 10412 | 99.78 | 9621 | 99.59 | 8843 | 99.62 | 5021 | 99.48 |
| ph_y_pds__f_001 | 5604 | 47.34 | 5309 | 47.33 | 5181 | 47.35 | 4950 | 47.44 | 4573 | 47.33 | 4230 | 47.65 | 2390 | 47.35 |
| ph_y_pds__f_002 | 5609 | 47.39 | 5309 | 47.33 | 5182 | 47.36 | 4950 | 47.44 | 4573 | 47.33 | 4229 | 47.64 | 2390 | 47.35 |
| ph_y_pds__f_mean | 4296 | 36.29 | 4873 | 43.44 | 5011 | 45.80 | 4797 | 45.97 | 4455 | 46.11 | 4162 | 46.89 | 2368 | 46.92 |
| ph_y_pds__m_001 | 6155 | 52.00 | 5835 | 52.02 | 5716 | 52.24 | 5461 | 52.33 | 5048 | 52.25 | 4613 | 51.97 | 2631 | 52.13 |
| ph_y_pds__m_002 | 6155 | 52.00 | 5835 | 52.02 | 5716 | 52.24 | 5461 | 52.33 | 5047 | 52.24 | 4613 | 51.97 | 2631 | 52.13 |
| ph_y_pds__m_mean | 5274 | 44.56 | 5488 | 48.93 | 5647 | 51.61 | 5403 | 51.78 | 5019 | 51.95 | 4590 | 51.71 | 2615 | 51.81 |
| ph_y_pds_mean | 9570 | 80.85 | 10361 | 92.37 | 10658 | 97.40 | 10200 | 97.75 | 9474 | 98.06 | 8752 | 98.59 | 4983 | 98.73 |
# > 97% availability across all neutral items in all 7 time points (0-6)
# Male and female items' percentage add up to > 97% availability as wellreplace 777 & 999 with NA
for (a in 3:22) {
puberty6[, a] <-
ifelse(puberty6[, a] > 100, NA, puberty6[, a])
}
# Checking
puberty6 %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| ph_p_pds__f_001 | 31567 | 46.41114 | 2.7018722 | 0.8443325 | 1 | 4 |
| ph_p_pds__f_002 | 31385 | 46.14355 | 0.5260475 | 0.4993290 | 0 | 1 |
| ph_p_pds__f_mean | 31364 | 46.11268 | 2.6948938 | 0.8414807 | 1 | 4 |
| ph_p_pds__m_001 | 34917 | 51.33645 | 1.9601340 | 1.0503766 | 1 | 4 |
| ph_p_pds__m_002 | 34875 | 51.27470 | 1.6662939 | 0.8524904 | 1 | 4 |
| ph_p_pds__m_mean | 34756 | 51.09974 | 2.1005711 | 0.7529098 | 1 | 4 |
| ph_p_pds_001 | 65753 | 96.67284 | 2.8007239 | 0.7598952 | 1 | 4 |
| ph_p_pds_002 | 64492 | 94.81887 | 2.4312163 | 1.0330618 | 1 | 4 |
| ph_p_pds_003 | 66209 | 97.34327 | 2.2754006 | 0.9367564 | 1 | 4 |
| ph_p_pds_mean | 66120 | 97.21242 | 2.3824879 | 0.8496607 | 1 | 4 |
| ph_y_pds__f_001 | 30189 | 44.38514 | 2.6575574 | 0.8775544 | 1 | 4 |
| ph_y_pds__f_002 | 30520 | 44.87179 | 0.5357798 | 0.4987263 | 0 | 1 |
| ph_y_pds__f_mean | 29962 | 44.05140 | 2.6786329 | 0.8570512 | 1 | 4 |
| ph_y_pds__m_001 | 34768 | 51.11738 | 2.1565520 | 0.9613716 | 1 | 4 |
| ph_y_pds__m_002 | 34826 | 51.20266 | 1.7456498 | 0.8329704 | 1 | 4 |
| ph_y_pds__m_mean | 34036 | 50.04117 | 2.1812786 | 0.7053460 | 1 | 4 |
| ph_y_pds_001 | 61645 | 90.63309 | 2.7065618 | 0.9095863 | 1 | 4 |
| ph_y_pds_002 | 65959 | 96.97571 | 2.4902894 | 1.0083006 | 1 | 4 |
| ph_y_pds_003 | 65301 | 96.00829 | 2.3254008 | 0.9162357 | 1 | 4 |
| ph_y_pds_mean | 63998 | 94.09257 | 2.4141254 | 0.8185729 | 1 | 4 |
recode Values in f_002 items (menstruattion):
“0” (No) –> “1”
“1” (Yes) –> “4”
puberty6 <- puberty6 %>%
mutate(
ph_p_pds__f_002 = recode(ph_p_pds__f_002,
"0" = 1,
"1" = 4,
.default = NA_real_
),
ph_y_pds__f_002 = recode(ph_y_pds__f_002,
"0" = 1,
"1" = 4,
.default = NA_real_
)
)
# Checking
puberty6 %>%
select(ph_p_pds__f_002, ph_y_pds__f_002) %>%
freq() %>%
knitr::kable()
|
|
Calculate average scores for gender-specific items
Gender-specific items in Parent report
Male ph_p_pds__m_001: Have you noticed a deepening of your child’s voice? ph_p_pds__m_002: Have you noticed that your child has begun to grow hair on their face?
Female ph_p_pds__f_001: Have you noticed that your child’s breasts have begun to grow? ph_p_pds__f_002: Has your child begun to menstruate?
Gender-specific items in Youth report
Male ph_y_pds__m_001: Have you noticed a deepening of your voice? ph_y_pds__m_002: Have you begun to grow hair on your face?
Female ph_y_pds__f_001: Have you noticed that your breasts have begun to grow? ph_y_pds__f_002: Have you begun to menstruate (started to have your period)?
puberty6 <- puberty6 %>%
mutate(
# Gender-specific items in Parent report
ph_p_pds_mf = rowMeans(
puberty6 %>%
select(
"ph_p_pds__m_001",
"ph_p_pds__m_002",
"ph_p_pds__f_001",
"ph_p_pds__f_002",
),
na.rm = T
),
# Gender-specific items in Youth report
ph_y_pds_mf = rowMeans(
puberty6 %>%
select(
"ph_y_pds__m_001",
"ph_y_pds__m_002",
"ph_y_pds__f_001",
"ph_y_pds__f_002",
),
na.rm = T
)
)
# Checking
puberty6 %>%
select(ph_p_pds_mf, ph_y_pds_mf) %>%
freq() %>%
knitr::kable()
|
|
Check data
pub_yp_mean <- puberty6 %>%
select(
"participant_id",
"session_id",
"ph_p_pds_001",
"ph_p_pds_002",
"ph_p_pds_003",
"ph_p_pds__f_001",
"ph_p_pds__f_002",
"ph_p_pds__m_001",
"ph_p_pds__m_002",
"ph_p_pds_mf",
"ph_p_pds_mean",
"ph_y_pds_001",
"ph_y_pds_002",
"ph_y_pds_003",
"ph_y_pds__f_001",
"ph_y_pds__f_002",
"ph_y_pds__m_001",
"ph_y_pds__m_002",
"ph_y_pds_mf",
"ph_y_pds_mean"
)
# Year 0 (Baseline)
pub_yp_mean %>%
filter(session_id == "0") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| ph_p_pds__f_001 | 5580 | 47.14032 | 1.867742 | 0.8100013 | 1 | 4 |
| ph_p_pds__f_002 | 5588 | 47.20791 | 1.083214 | 0.4927078 | 1 | 4 |
| ph_p_pds__m_001 | 6083 | 51.38971 | 1.101759 | 0.3711946 | 1 | 4 |
| ph_p_pds__m_002 | 6073 | 51.30523 | 1.076733 | 0.3185737 | 1 | 4 |
| ph_p_pds_001 | 11384 | 96.17302 | 2.463809 | 0.8348199 | 1 | 4 |
| ph_p_pds_002 | 11526 | 97.37265 | 1.565504 | 0.8383459 | 1 | 4 |
| ph_p_pds_003 | 11623 | 98.19211 | 1.463650 | 0.7215249 | 1 | 4 |
| ph_p_pds_mean | 11583 | 97.85419 | 1.601999 | 0.4852941 | 1 | 4 |
| ph_p_pds_mf | 11722 | 99.02847 | 1.275124 | 0.4602376 | 1 | 4 |
| ph_y_pds__f_001 | 4583 | 38.71758 | 1.841370 | 0.7919383 | 1 | 4 |
| ph_y_pds__f_002 | 5019 | 42.40095 | 1.098625 | 0.5349820 | 1 | 4 |
| ph_y_pds__m_001 | 5823 | 49.19321 | 1.587154 | 0.7779510 | 1 | 4 |
| ph_y_pds__m_002 | 5863 | 49.53113 | 1.250213 | 0.5292433 | 1 | 4 |
| ph_y_pds_001 | 7328 | 61.90758 | 2.398744 | 0.9160823 | 1 | 4 |
| ph_y_pds_002 | 11143 | 94.13703 | 1.731401 | 0.8819722 | 1 | 4 |
| ph_y_pds_003 | 10175 | 85.95928 | 1.603538 | 0.7753749 | 1 | 4 |
| ph_y_pds_mean | 9570 | 80.84819 | 1.675925 | 0.4894997 | 1 | 4 |
| ph_y_pds_mf | 11455 | 96.77283 | 1.428372 | 0.5518734 | 1 | 4 |
# Year 1
pub_yp_mean %>%
filter(session_id == "1") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
)Non-numerical variable(s) ignored: participant_id, session_id
N.Valid Pct.Valid Mean Std.Dev Min Max
--------------------- ---------- ----------- ------ --------- ------ ------
ph_p_pds__f_001 5281.00 47.08 2.27 0.79 1.00 4.00
ph_p_pds__f_002 5252.00 46.82 1.41 1.03 1.00 4.00
ph_p_pds__m_001 5796.00 51.67 1.20 0.52 1.00 4.00
ph_p_pds__m_002 5783.00 51.56 1.13 0.41 1.00 4.00
ph_p_pds_001 10918.00 97.33 2.52 0.78 1.00 4.00
ph_p_pds_002 10801.00 96.29 1.82 0.91 1.00 4.00
ph_p_pds_003 11032.00 98.35 1.73 0.82 1.00 4.00
ph_p_pds_mean 11011.00 98.16 1.81 0.60 1.00 4.00
ph_p_pds_mf 11130.00 99.22 1.49 0.68 1.00 4.00
ph_y_pds__f_001 4948.00 44.11 2.15 0.78 1.00 4.00
ph_y_pds__f_002 5004.00 44.61 1.40 1.02 1.00 4.00
ph_y_pds__m_001 5613.00 50.04 1.62 0.76 1.00 4.00
ph_y_pds__m_002 5636.00 50.25 1.30 0.57 1.00 4.00
ph_y_pds_001 9883.00 88.11 2.29 0.87 1.00 4.00
ph_y_pds_002 10728.00 95.64 1.86 0.87 1.00 4.00
ph_y_pds_003 10660.00 95.03 1.82 0.81 1.00 4.00
ph_y_pds_mean 10361.00 92.37 1.83 0.56 1.00 4.00
ph_y_pds_mf 10973.00 97.82 1.61 0.68 1.00 4.00
# Year 2
pub_yp_mean %>%
filter(session_id == "2") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| ph_p_pds__f_001 | 5110 | 46.70079 | 2.652251 | 0.6458457 | 1 | 4 |
| ph_p_pds__f_002 | 5051 | 46.16158 | 2.266284 | 1.4818271 | 1 | 4 |
| ph_p_pds__m_001 | 5652 | 51.65418 | 1.533970 | 0.7999821 | 1 | 4 |
| ph_p_pds__m_002 | 5647 | 51.60848 | 1.341951 | 0.6291271 | 1 | 4 |
| ph_p_pds_001 | 10680 | 97.60556 | 2.638764 | 0.7174175 | 1 | 4 |
| ph_p_pds_002 | 10384 | 94.90038 | 2.256741 | 0.9258104 | 1 | 4 |
| ph_p_pds_003 | 10721 | 97.98026 | 2.131704 | 0.8467472 | 1 | 4 |
| ph_p_pds_mean | 10713 | 97.90715 | 2.172463 | 0.7166523 | 1 | 4 |
| ph_p_pds_mf | 10803 | 98.72967 | 1.924789 | 0.9388172 | 1 | 4 |
| ph_y_pds__f_001 | 4963 | 45.35734 | 2.498489 | 0.7110487 | 1 | 4 |
| ph_y_pds__f_002 | 4937 | 45.11972 | 2.208021 | 1.4714574 | 1 | 4 |
| ph_y_pds__m_001 | 5678 | 51.89179 | 1.793942 | 0.8130640 | 1 | 4 |
| ph_y_pds__m_002 | 5667 | 51.79126 | 1.417152 | 0.6434460 | 1 | 4 |
| ph_y_pds_001 | 10761 | 98.34582 | 2.380634 | 0.8559286 | 1 | 4 |
| ph_y_pds_002 | 10648 | 97.31311 | 2.223798 | 0.8938016 | 1 | 4 |
| ph_y_pds_003 | 10787 | 98.58344 | 2.128210 | 0.8268222 | 1 | 4 |
| ph_y_pds_mean | 10658 | 97.40450 | 2.128514 | 0.6644338 | 1 | 4 |
| ph_y_pds_mf | 10791 | 98.62000 | 1.958669 | 0.8737531 | 1 | 4 |
# Year 3
pub_yp_mean %>%
filter(session_id == "3") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| ph_p_pds__f_001 | 4764 | 45.65405 | 2.892947 | 0.5516381 | 1 | 4 |
| ph_p_pds__f_002 | 4718 | 45.21322 | 3.075456 | 1.3853727 | 1 | 4 |
| ph_p_pds__m_001 | 5317 | 50.95352 | 2.023509 | 0.9420833 | 1 | 4 |
| ph_p_pds__m_002 | 5310 | 50.88644 | 1.651789 | 0.7832728 | 1 | 4 |
| ph_p_pds_001 | 10038 | 96.19550 | 2.799263 | 0.6532019 | 1 | 4 |
| ph_p_pds_002 | 9692 | 92.87973 | 2.620202 | 0.8622469 | 1 | 4 |
| ph_p_pds_003 | 10061 | 96.41591 | 2.449160 | 0.7896727 | 1 | 4 |
| ph_p_pds_mean | 10020 | 96.02300 | 2.522715 | 0.7201574 | 1 | 4 |
| ph_p_pds_mf | 10125 | 97.02923 | 2.380197 | 0.9899575 | 1 | 4 |
| ph_y_pds__f_001 | 4768 | 45.69238 | 2.767408 | 0.6584965 | 1 | 4 |
| ph_y_pds__f_002 | 4709 | 45.12698 | 3.043746 | 1.3981257 | 1 | 4 |
| ph_y_pds__m_001 | 5423 | 51.96933 | 2.158399 | 0.8898102 | 1 | 4 |
| ph_y_pds__m_002 | 5419 | 51.93100 | 1.702528 | 0.7647257 | 1 | 4 |
| ph_y_pds_001 | 10311 | 98.81169 | 2.646688 | 0.8251552 | 1 | 4 |
| ph_y_pds_002 | 10211 | 97.85338 | 2.629419 | 0.8536218 | 1 | 4 |
| ph_y_pds_003 | 10330 | 98.99377 | 2.427977 | 0.8005054 | 1 | 4 |
| ph_y_pds_mean | 10200 | 97.74796 | 2.495196 | 0.6890114 | 1 | 4 |
| ph_y_pds_mf | 10297 | 98.67753 | 2.389968 | 0.9372987 | 1 | 4 |
# Year 4
pub_yp_mean %>%
filter(session_id == "4") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| ph_p_pds__f_001 | 4406 | 45.60604 | 3.154108 | 0.5163305 | 1 | 4 |
| ph_p_pds__f_002 | 4398 | 45.52324 | 3.742838 | 0.8399494 | 1 | 4 |
| ph_p_pds__m_001 | 4950 | 51.23693 | 2.686061 | 0.8524314 | 1 | 4 |
| ph_p_pds__m_002 | 4944 | 51.17483 | 2.149272 | 0.8259200 | 1 | 4 |
| ph_p_pds_001 | 9292 | 96.18052 | 3.049182 | 0.5876536 | 1 | 4 |
| ph_p_pds_002 | 9038 | 93.55139 | 3.020690 | 0.7197195 | 1 | 4 |
| ph_p_pds_003 | 9303 | 96.29438 | 2.802107 | 0.6631466 | 1 | 4 |
| ph_p_pds_mean | 9318 | 96.44964 | 2.935077 | 0.6066178 | 1 | 4 |
| ph_p_pds_mf | 9400 | 97.29842 | 2.904149 | 0.8314835 | 1 | 4 |
| ph_y_pds__f_001 | 4430 | 45.85447 | 3.074041 | 0.6158358 | 1 | 4 |
| ph_y_pds__f_002 | 4397 | 45.51289 | 3.744826 | 0.8369991 | 1 | 4 |
| ph_y_pds__m_001 | 5025 | 52.01325 | 2.631841 | 0.8162006 | 1 | 4 |
| ph_y_pds__m_002 | 5029 | 52.05465 | 2.127063 | 0.7874572 | 1 | 4 |
| ph_y_pds_001 | 9567 | 99.02702 | 2.958921 | 0.7918976 | 1 | 4 |
| ph_y_pds_002 | 9488 | 98.20930 | 3.043107 | 0.7295484 | 1 | 4 |
| ph_y_pds_003 | 9555 | 98.90281 | 2.754997 | 0.7035786 | 1 | 4 |
| ph_y_pds_mean | 9474 | 98.06438 | 2.896031 | 0.6120285 | 1 | 4 |
| ph_y_pds_mf | 9537 | 98.71649 | 2.863427 | 0.8214602 | 1 | 4 |
# Year 5
pub_yp_mean %>%
filter(session_id == "5") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| ph_p_pds__f_001 | 4092 | 46.09665 | 3.308651 | 0.5512533 | 1 | 4 |
| ph_p_pds__f_002 | 4048 | 45.60099 | 3.904397 | 0.5270076 | 1 | 4 |
| ph_p_pds__m_001 | 4516 | 50.87304 | 3.007529 | 0.7235547 | 1 | 4 |
| ph_p_pds__m_002 | 4515 | 50.86178 | 2.431008 | 0.7689792 | 1 | 4 |
| ph_p_pds_001 | 8536 | 96.15861 | 3.210755 | 0.5690569 | 1 | 4 |
| ph_p_pds_002 | 8288 | 93.36488 | 3.223697 | 0.6378196 | 1 | 4 |
| ph_p_pds_003 | 8563 | 96.46277 | 2.981198 | 0.6009388 | 1 | 4 |
| ph_p_pds_mean | 8560 | 96.42897 | 3.138627 | 0.5296915 | 1 | 4 |
| ph_p_pds_mf | 8640 | 97.33018 | 3.139294 | 0.7009915 | 1 | 4 |
| ph_y_pds__f_001 | 4138 | 46.61485 | 3.297003 | 0.6211140 | 1 | 4 |
| ph_y_pds__f_002 | 4110 | 46.29943 | 3.907299 | 0.5192055 | 1 | 4 |
| ph_y_pds__m_001 | 4591 | 51.71792 | 2.903942 | 0.7153223 | 1 | 4 |
| ph_y_pds__m_002 | 4591 | 51.71792 | 2.432150 | 0.7354418 | 1 | 4 |
| ph_y_pds_001 | 8795 | 99.07626 | 3.209210 | 0.7530587 | 1 | 4 |
| ph_y_pds_002 | 8759 | 98.67072 | 3.258249 | 0.6377270 | 1 | 4 |
| ph_y_pds_003 | 8797 | 99.09879 | 2.959759 | 0.6520471 | 1 | 4 |
| ph_y_pds_mean | 8752 | 98.59187 | 3.128942 | 0.5394911 | 1 | 4 |
| ph_y_pds_mf | 8787 | 98.98614 | 3.111130 | 0.7109779 | 1 | 4 |
# Year 6
pub_yp_mean %>%
filter(session_id == "6") %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd", "min", "max"),
transpose = T,
headings = F
) %>%
knitr::kable()| N.Valid | Pct.Valid | Mean | Std.Dev | Min | Max | |
|---|---|---|---|---|---|---|
| ph_p_pds__f_001 | 2334 | 46.24529 | 3.478149 | 0.5479125 | 1.0 | 4 |
| ph_p_pds__f_002 | 2330 | 46.16604 | 3.965236 | 0.3211348 | 1.0 | 4 |
| ph_p_pds__m_001 | 2603 | 51.57519 | 3.256627 | 0.6262798 | 1.0 | 4 |
| ph_p_pds__m_002 | 2603 | 51.57519 | 2.715329 | 0.6825086 | 1.0 | 4 |
| ph_p_pds_001 | 4905 | 97.18645 | 3.378593 | 0.5596463 | 1.0 | 4 |
| ph_p_pds_002 | 4763 | 94.37289 | 3.401218 | 0.5767934 | 1.0 | 4 |
| ph_p_pds_003 | 4906 | 97.20626 | 3.141052 | 0.5779489 | 1.0 | 4 |
| ph_p_pds_mean | 4915 | 97.38458 | 3.316897 | 0.4724285 | 1.2 | 4 |
| ph_p_pds_mf | 4963 | 98.33564 | 3.335080 | 0.5853689 | 1.0 | 4 |
| ph_y_pds__f_001 | 2359 | 46.74064 | 3.509538 | 0.5966884 | 1.0 | 4 |
| ph_y_pds__f_002 | 2344 | 46.44343 | 3.965444 | 0.3201852 | 1.0 | 4 |
| ph_y_pds__m_001 | 2615 | 51.81296 | 3.136903 | 0.6647160 | 1.0 | 4 |
| ph_y_pds__m_002 | 2621 | 51.93184 | 2.684472 | 0.6745250 | 1.0 | 4 |
| ph_y_pds_001 | 5000 | 99.06875 | 3.439000 | 0.6933795 | 1.0 | 4 |
| ph_y_pds_002 | 4982 | 98.71211 | 3.418908 | 0.5935372 | 1.0 | 4 |
| ph_y_pds_003 | 4997 | 99.00931 | 3.147889 | 0.6234204 | 1.0 | 4 |
| ph_y_pds_mean | 4983 | 98.73192 | 3.322838 | 0.4899576 | 1.0 | 4 |
| ph_y_pds_mf | 4996 | 98.98950 | 3.302342 | 0.6236999 | 1.0 | 4 |
Missing Visualization
# Baseline
pub_yp_mean %>%
filter(session_id == "0") %>%
visdat::vis_miss()
# 1-year follow-up
pub_yp_mean %>%
filter(session_id == "1") %>%
visdat::vis_miss()
# 2-year follow-up
pub_yp_mean %>%
filter(session_id == "2") %>%
visdat::vis_miss()
# 3-year follow-up
pub_yp_mean %>%
filter(session_id == "3") %>%
visdat::vis_miss()
# 4-year follow-up
pub_yp_mean %>%
filter(session_id == "4") %>%
visdat::vis_miss()
# 5-year follow-up
pub_yp_mean %>%
filter(session_id == "5") %>%
visdat::vis_miss()
# 6-year follow-up
pub_yp_mean %>%
filter(session_id == "6") %>%
visdat::vis_miss()
Scaled score: Z score
# Scale into Z-score across all time points
pub_yp_mean.scaled <- pub_yp_mean %>%
mutate_at(scale,
.vars = c(
"ph_p_pds_001",
"ph_p_pds_002",
"ph_p_pds_003",
"ph_p_pds__f_001",
"ph_p_pds__f_002",
"ph_p_pds__m_001",
"ph_p_pds__m_002",
"ph_p_pds_mf",
"ph_p_pds_mean",
"ph_y_pds_001",
"ph_y_pds_002",
"ph_y_pds_003",
"ph_y_pds__f_001",
"ph_y_pds__f_002",
"ph_y_pds__m_001",
"ph_y_pds__m_002",
"ph_y_pds_mf",
"ph_y_pds_mean"
),
center = TRUE,
scale = TRUE
)Reconstruct Data
Long form (Scaled)
pub_yp_mean_long.scaled <- pub_yp_mean.scaled %>%
pivot_longer(
cols = starts_with("ph_"), # all pds columns
names_to = c("rater", "item"), # create two new columns
names_pattern = "ph_(.)_pds_(.*)", # (.) captures y or p, (.*) captures the rest
values_to = "value"
)
# check duplicate
pub_yp_mean_long.scaled %>%
group_by(rater, item, session_id) %>%
dplyr::summarise(
count = sum(!is.na(value)),
duplicate = any(duplicated(participant_id))
) %>%
knitr::kable()`summarise()` has grouped output by 'rater', 'item'. You can override using the
`.groups` argument.
| rater | item | session_id | count | duplicate |
|---|---|---|---|---|
| p | 001 | 0 | 11384 | FALSE |
| p | 001 | 1 | 10918 | FALSE |
| p | 001 | 2 | 10680 | FALSE |
| p | 001 | 3 | 10038 | FALSE |
| p | 001 | 4 | 9292 | FALSE |
| p | 001 | 5 | 8536 | FALSE |
| p | 001 | 6 | 4905 | FALSE |
| p | 002 | 0 | 11526 | FALSE |
| p | 002 | 1 | 10801 | FALSE |
| p | 002 | 2 | 10384 | FALSE |
| p | 002 | 3 | 9692 | FALSE |
| p | 002 | 4 | 9038 | FALSE |
| p | 002 | 5 | 8288 | FALSE |
| p | 002 | 6 | 4763 | FALSE |
| p | 003 | 0 | 11623 | FALSE |
| p | 003 | 1 | 11032 | FALSE |
| p | 003 | 2 | 10721 | FALSE |
| p | 003 | 3 | 10061 | FALSE |
| p | 003 | 4 | 9303 | FALSE |
| p | 003 | 5 | 8563 | FALSE |
| p | 003 | 6 | 4906 | FALSE |
| p | _f_001 | 0 | 5580 | FALSE |
| p | _f_001 | 1 | 5281 | FALSE |
| p | _f_001 | 2 | 5110 | FALSE |
| p | _f_001 | 3 | 4764 | FALSE |
| p | _f_001 | 4 | 4406 | FALSE |
| p | _f_001 | 5 | 4092 | FALSE |
| p | _f_001 | 6 | 2334 | FALSE |
| p | _f_002 | 0 | 5588 | FALSE |
| p | _f_002 | 1 | 5252 | FALSE |
| p | _f_002 | 2 | 5051 | FALSE |
| p | _f_002 | 3 | 4718 | FALSE |
| p | _f_002 | 4 | 4398 | FALSE |
| p | _f_002 | 5 | 4048 | FALSE |
| p | _f_002 | 6 | 2330 | FALSE |
| p | _m_001 | 0 | 6083 | FALSE |
| p | _m_001 | 1 | 5796 | FALSE |
| p | _m_001 | 2 | 5652 | FALSE |
| p | _m_001 | 3 | 5317 | FALSE |
| p | _m_001 | 4 | 4950 | FALSE |
| p | _m_001 | 5 | 4516 | FALSE |
| p | _m_001 | 6 | 2603 | FALSE |
| p | _m_002 | 0 | 6073 | FALSE |
| p | _m_002 | 1 | 5783 | FALSE |
| p | _m_002 | 2 | 5647 | FALSE |
| p | _m_002 | 3 | 5310 | FALSE |
| p | _m_002 | 4 | 4944 | FALSE |
| p | _m_002 | 5 | 4515 | FALSE |
| p | _m_002 | 6 | 2603 | FALSE |
| p | mean | 0 | 11583 | FALSE |
| p | mean | 1 | 11011 | FALSE |
| p | mean | 2 | 10713 | FALSE |
| p | mean | 3 | 10020 | FALSE |
| p | mean | 4 | 9318 | FALSE |
| p | mean | 5 | 8560 | FALSE |
| p | mean | 6 | 4915 | FALSE |
| p | mf | 0 | 11722 | FALSE |
| p | mf | 1 | 11130 | FALSE |
| p | mf | 2 | 10803 | FALSE |
| p | mf | 3 | 10125 | FALSE |
| p | mf | 4 | 9400 | FALSE |
| p | mf | 5 | 8640 | FALSE |
| p | mf | 6 | 4963 | FALSE |
| y | 001 | 0 | 7328 | FALSE |
| y | 001 | 1 | 9883 | FALSE |
| y | 001 | 2 | 10761 | FALSE |
| y | 001 | 3 | 10311 | FALSE |
| y | 001 | 4 | 9567 | FALSE |
| y | 001 | 5 | 8795 | FALSE |
| y | 001 | 6 | 5000 | FALSE |
| y | 002 | 0 | 11143 | FALSE |
| y | 002 | 1 | 10728 | FALSE |
| y | 002 | 2 | 10648 | FALSE |
| y | 002 | 3 | 10211 | FALSE |
| y | 002 | 4 | 9488 | FALSE |
| y | 002 | 5 | 8759 | FALSE |
| y | 002 | 6 | 4982 | FALSE |
| y | 003 | 0 | 10175 | FALSE |
| y | 003 | 1 | 10660 | FALSE |
| y | 003 | 2 | 10787 | FALSE |
| y | 003 | 3 | 10330 | FALSE |
| y | 003 | 4 | 9555 | FALSE |
| y | 003 | 5 | 8797 | FALSE |
| y | 003 | 6 | 4997 | FALSE |
| y | _f_001 | 0 | 4583 | FALSE |
| y | _f_001 | 1 | 4948 | FALSE |
| y | _f_001 | 2 | 4963 | FALSE |
| y | _f_001 | 3 | 4768 | FALSE |
| y | _f_001 | 4 | 4430 | FALSE |
| y | _f_001 | 5 | 4138 | FALSE |
| y | _f_001 | 6 | 2359 | FALSE |
| y | _f_002 | 0 | 5019 | FALSE |
| y | _f_002 | 1 | 5004 | FALSE |
| y | _f_002 | 2 | 4937 | FALSE |
| y | _f_002 | 3 | 4709 | FALSE |
| y | _f_002 | 4 | 4397 | FALSE |
| y | _f_002 | 5 | 4110 | FALSE |
| y | _f_002 | 6 | 2344 | FALSE |
| y | _m_001 | 0 | 5823 | FALSE |
| y | _m_001 | 1 | 5613 | FALSE |
| y | _m_001 | 2 | 5678 | FALSE |
| y | _m_001 | 3 | 5423 | FALSE |
| y | _m_001 | 4 | 5025 | FALSE |
| y | _m_001 | 5 | 4591 | FALSE |
| y | _m_001 | 6 | 2615 | FALSE |
| y | _m_002 | 0 | 5863 | FALSE |
| y | _m_002 | 1 | 5636 | FALSE |
| y | _m_002 | 2 | 5667 | FALSE |
| y | _m_002 | 3 | 5419 | FALSE |
| y | _m_002 | 4 | 5029 | FALSE |
| y | _m_002 | 5 | 4591 | FALSE |
| y | _m_002 | 6 | 2621 | FALSE |
| y | mean | 0 | 9570 | FALSE |
| y | mean | 1 | 10361 | FALSE |
| y | mean | 2 | 10658 | FALSE |
| y | mean | 3 | 10200 | FALSE |
| y | mean | 4 | 9474 | FALSE |
| y | mean | 5 | 8752 | FALSE |
| y | mean | 6 | 4983 | FALSE |
| y | mf | 0 | 11455 | FALSE |
| y | mf | 1 | 10973 | FALSE |
| y | mf | 2 | 10791 | FALSE |
| y | mf | 3 | 10297 | FALSE |
| y | mf | 4 | 9537 | FALSE |
| y | mf | 5 | 8787 | FALSE |
| y | mf | 6 | 4996 | FALSE |
Wide form (Scaled)
pub_yp_mean_wide.scaled <- pub_yp_mean.scaled %>%
pivot_wider(
names_from = session_id,
values_from = starts_with("ph_")
)
# check duplicate
pub_yp_mean_wide.scaled %>%
select(participant_id) %>%
dplyr::summarise(
count = sum(!is.na(participant_id)),
duplicate = any(duplicated(participant_id))
) %>%
knitr::kable()| count | duplicate |
|---|---|
| 11867 | FALSE |
Descriptive Stat Summary
pub_yp_mean_wide.scaled %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd"),
transpose = T,
headings = F
) %>%
DT::datatable(options = list(pageLength = 10, scrollY = "450px", scrollX = TRUE))pub_yp_mean %>%
pivot_wider(
names_from = session_id,
values_from = starts_with("ph_")
) %>%
descr(
stats = c("N.Valid", "Pct.Valid", "mean", "sd"),
transpose = T,
headings = F
) %>%
DT::datatable(options = list(pageLength = 10, scrollY = "450px", scrollX = TRUE))Plot
puberty_plot <- Rmisc::summarySE(
pub_yp_mean_long.scaled %>%
mutate(
item = factor(
item,
levels = c("001", "002", "003", "_f_001", "_f_002", "_m_001", "_m_002", "mean"),
labels = c("item1", "item2", "item3", "female1", "female2", "male1", "male2", "Avarage")
),
rater = factor(
rater,
levels = c("p", "y"),
labels = c("Parent", "Youth")
)
),
measurevar = "value",
na.rm = T,
groupvars = c("rater", "item", "session_id")
) %>%
filter(!is.na(item)) %>%
ggplot(aes(session_id, value, color = item, group = item)) +
geom_errorbar(
aes(x = session_id, y = value, ymin = value - ci, ymax = value + ci),
alpha = 1, position = position_dodge(width = .5), colour = "black"
) +
stat_summary(fun.y = mean, geom = "line", position = position_dodge(width = .5), linewidth = 1.5) +
theme_bw(base_size = 20) +
ylab("Puberty Score") +
scale_x_discrete(labels = c("10", "11", "12", "13", "14", "15", "16")) +
theme(axis.title.x = element_blank()) +
facet_wrap(~rater, scales = "free_y") +
theme(axis.title.x = element_text()) +
labs(x = expression("Time points (" * italic(M)["age"] * ", y/o)"))
puberty_plot %>% saveRDS("puberty_plot.rds")readRDS("puberty_plot.rds")
Join all data
No sex
pga6_wide.allscaled <- plyr::join_all(
list(
g_factor_5task_wide.scaled,
pc_factor_nolow_wide.scaled,
pp_factor_wide.scaled,
pub_yp_mean_wide.scaled
),
by = c("participant_id"), type = "full"
)
# check duplicate
pga6_wide.allscaled %>%
select(participant_id) %>%
dplyr::summarise(count = dplyr::n(), duplicate = any(duplicated(participant_id))) %>%
knitr::kable()| count | duplicate |
|---|---|
| 11867 | FALSE |
# n = 11867# Save data for the main analysis
pga6_wide.allscaled %>%
saveRDS("pga6_all_data.rds")Add sex
pga6_wide.allscaled.sex <- plyr::join_all(
list(
readRDS("pga6_all_data.rds"),
sex6 %>%
select(participant_id, ab_g_stc__cohort_sex) %>%
drop_na(ab_g_stc__cohort_sex)
),
by = c("participant_id"), type = "left"
) %>%
mutate(dummy_sex = 2 - as.numeric(ab_g_stc__cohort_sex))
# check duplicate
pga6_wide.allscaled.sex %>%
select(participant_id, dummy_sex) %>%
group_by(dummy_sex) %>%
dplyr::summarise(count = dplyr::n(), duplicate = any(duplicated(participant_id))) %>%
knitr::kable()| dummy_sex | count | duplicate |
|---|---|---|
| 0 | 5678 | FALSE |
| 1 | 6189 | FALSE |
# total n = 5678 + 6189 = 11867# Save data for the main analysis
pga6_wide.allscaled.sex %>%
saveRDS("pga6_all_data_sex.rds")Main Analysis
Measurement invariance test
g factor
Configural invariance model
model fit
g.4t.config.invar <- "#factor loadings # S & S2
g_etaB =~ lambda_S*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ lambda_S2*flanker_2+
lambda_R2*pattern_2+
lambda_M2*picture_2+
lambda_P2*picvocab_2+
lambda_V2*reading_2
g_eta4 =~ lambda_S4*flanker_4+
lambda_R4*pattern_4+
lambda_M4*picture_4+
lambda_P4*picvocab_4+
lambda_V4*reading_4
g_eta6 =~ lambda_S6*flanker_6+
lambda_R6*pattern_6+
lambda_M6*picture_6+
lambda_P6*picvocab_6+
lambda_V6*reading_6
#latent variable variances # 1*
g_etaB~~1*g_etaB
g_eta2~~1*g_eta2
g_eta4~~1*g_eta4
g_eta6~~1*g_eta6
#latent variable covariances
g_etaB~~g_eta2 + g_eta4 + g_eta6
g_eta2~~g_eta4 + g_eta6
g_eta4~~g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#latent variable intercepts # 0*1
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S2*1
flanker_4~tau_S4*1
flanker_6~tau_S6*1
pattern_0~tau_R*1
pattern_2~tau_R2*1
pattern_4~tau_R4*1
pattern_6~tau_R6*1
picture_0~tau_M*1
picture_2~tau_M2*1
picture_4~tau_M4*1
picture_6~tau_M6*1
picvocab_0~tau_P*1
picvocab_2~tau_P2*1
picvocab_4~tau_P4*1
picvocab_6~tau_P6*1
reading_0~tau_V*1
reading_2~tau_V2*1
reading_4~tau_V4*1
reading_6~tau_V6*1"
lavaan(g.4t.config.invar,
data = g_factor_5task_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("g_4t_config.rds")result
readRDS("g_4t_config.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("g_4t_config_result.rds")# Check for Haywood case
eigen(inspect(readRDS("g_4t_config.rds"), "cor.lv"))$value[1] 3.70934752 0.17944394 0.05761131 0.05359723
readRDS("g_4t_config_result.rds")lavaan 0.6-19 ended normally after 84 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 112
Used Total
Number of observations 11849 11865
Number of missing patterns 221
Model Test User Model:
Test statistic 1918.015
Degrees of freedom 118
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 79857.953
Degrees of freedom 190
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.977
Tucker-Lewis Index (TLI) 0.964
Robust Comparative Fit Index (CFI) 0.976
Robust Tucker-Lewis Index (TLI) 0.962
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -179356.081
Loglikelihood unrestricted model (H1) -178397.074
Akaike (AIC) 358936.162
Bayesian (BIC) 359762.722
Sample-size adjusted Bayesian (SABIC) 359406.799
Root Mean Square Error of Approximation:
RMSEA 0.036
90 Percent confidence interval - lower 0.034
90 Percent confidence interval - upper 0.037
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.047
90 Percent confidence interval - lower 0.045
90 Percent confidence interval - upper 0.049
P-value H_0: Robust RMSEA <= 0.050 0.996
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.042
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB =~
flnkr_0 (lm_S) 0.573 0.011 52.897 0.000 0.573 0.597
pttrn_0 (lm_R) 0.351 0.008 44.215 0.000 0.351 0.493
pictr_0 (lm_M) 0.341 0.009 36.101 0.000 0.341 0.396
pcvcb_0 (lm_P) 0.366 0.010 37.991 0.000 0.366 0.443
redng_0 (lm_V) 0.384 0.010 39.443 0.000 0.384 0.455
g_eta2 =~
flnkr_2 (l_S2) 0.499 0.011 47.422 0.000 0.499 0.614
pttrn_2 (l_R2) 0.415 0.009 44.310 0.000 0.415 0.559
pictr_2 (l_M2) 0.359 0.011 33.926 0.000 0.359 0.395
pcvcb_2 (l_P2) 0.411 0.010 39.409 0.000 0.411 0.472
redng_2 (l_V2) 0.357 0.010 36.378 0.000 0.357 0.434
g_eta4 =~
flnkr_4 (l_S4) 0.532 0.011 49.220 0.000 0.532 0.651
pttrn_4 (l_R4) 0.501 0.011 47.230 0.000 0.501 0.610
pictr_4 (l_M4) 0.421 0.013 31.475 0.000 0.421 0.387
pcvcb_4 (l_P4) 0.429 0.011 37.948 0.000 0.429 0.468
redng_4 (l_V4) 0.370 0.011 33.494 0.000 0.370 0.414
g_eta6 =~
flnkr_6 (l_S6) 0.548 0.013 43.046 0.000 0.548 0.675
pttrn_6 (l_R6) 0.612 0.013 46.492 0.000 0.612 0.704
pictr_6 (l_M6) 0.470 0.017 28.333 0.000 0.470 0.436
pcvcb_6 (l_P6) 0.407 0.013 31.119 0.000 0.407 0.447
redng_6 (l_V6) 0.384 0.014 28.294 0.000 0.384 0.413
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB ~~
g_eta2 0.936 0.007 138.846 0.000 0.936 0.936
g_eta4 0.898 0.008 109.489 0.000 0.898 0.898
g_eta6 0.833 0.011 73.570 0.000 0.833 0.833
g_eta2 ~~
g_eta4 0.930 0.007 131.330 0.000 0.930 0.930
g_eta6 0.891 0.009 97.335 0.000 0.891 0.891
g_eta4 ~~
g_eta6 0.929 0.008 111.120 0.000 0.929 0.929
.flanker_0 ~~
.flanker_2 0.085 0.008 10.746 0.000 0.085 0.173
.flanker_4 0.044 0.008 5.522 0.000 0.044 0.092
.flanker_6 0.042 0.009 4.614 0.000 0.042 0.091
.flanker_2 ~~
.flanker_4 0.099 0.008 12.928 0.000 0.099 0.248
.flanker_6 0.081 0.008 10.006 0.000 0.081 0.210
.flanker_4 ~~
.flanker_6 0.109 0.009 11.969 0.000 0.109 0.294
.pattern_0 ~~
.pattern_2 0.125 0.005 23.397 0.000 0.125 0.327
.pattern_4 0.089 0.006 15.073 0.000 0.089 0.220
.pattern_6 0.073 0.007 10.514 0.000 0.073 0.191
.pattern_2 ~~
.pattern_4 0.140 0.007 20.571 0.000 0.140 0.351
.pattern_6 0.111 0.008 14.753 0.000 0.111 0.293
.pattern_4 ~~
.pattern_6 0.147 0.009 16.026 0.000 0.147 0.366
.picture_0 ~~
.picture_2 0.230 0.008 30.500 0.000 0.230 0.348
.picture_4 0.230 0.009 24.963 0.000 0.230 0.290
.picture_6 0.262 0.011 23.079 0.000 0.262 0.342
.picture_2 ~~
.picture_4 0.253 0.010 24.980 0.000 0.253 0.302
.picture_6 0.285 0.013 21.905 0.000 0.285 0.352
.picture_4 ~~
.picture_6 0.352 0.015 23.037 0.000 0.352 0.362
.picvocab_0 ~~
.picvocab_2 0.380 0.008 49.298 0.000 0.380 0.667
.picvocab_4 0.382 0.008 47.416 0.000 0.382 0.637
.picvocab_6 0.377 0.009 42.658 0.000 0.377 0.623
.picvocab_2 ~~
.picvocab_4 0.448 0.009 50.057 0.000 0.448 0.719
.picvocab_6 0.449 0.010 45.828 0.000 0.449 0.716
.picvocab_4 ~~
.picvocab_6 0.497 0.011 46.737 0.000 0.497 0.753
.reading_0 ~~
.reading_2 0.398 0.008 52.880 0.000 0.398 0.717
.reading_4 0.402 0.008 49.561 0.000 0.402 0.659
.reading_6 0.415 0.010 43.456 0.000 0.415 0.652
.reading_2 ~~
.reading_4 0.415 0.008 50.802 0.000 0.415 0.691
.reading_6 0.432 0.010 45.159 0.000 0.432 0.690
.reading_4 ~~
.reading_6 0.460 0.011 43.280 0.000 0.460 0.668
.picvocab_0 ~~
.reading_0 0.224 0.007 32.905 0.000 0.224 0.401
.reading_2 0.239 0.007 35.621 0.000 0.239 0.436
.reading_4 0.257 0.007 34.804 0.000 0.257 0.426
.reading_6 0.285 0.009 32.357 0.000 0.285 0.454
.picvocab_2 ~~
.reading_2 0.278 0.007 37.753 0.000 0.278 0.490
.reading_0 ~~
.picvocab_2 0.251 0.007 34.679 0.000 0.251 0.434
.picvocab_2 ~~
.reading_4 0.303 0.008 37.649 0.000 0.303 0.485
.reading_6 0.336 0.010 34.978 0.000 0.336 0.516
.picvocab_4 ~~
.reading_4 0.324 0.009 37.294 0.000 0.324 0.493
.reading_0 ~~
.picvocab_4 0.259 0.008 33.746 0.000 0.259 0.425
.reading_2 ~~
.picvocab_4 0.289 0.008 37.206 0.000 0.289 0.483
.picvocab_4 ~~
.reading_6 0.364 0.010 35.161 0.000 0.364 0.531
.picvocab_6 ~~
.reading_6 0.372 0.011 32.905 0.000 0.372 0.538
.reading_0 ~~
.picvocab_6 0.249 0.009 28.919 0.000 0.249 0.406
.reading_2 ~~
.picvocab_6 0.278 0.009 32.082 0.000 0.278 0.461
.reading_4 ~~
.picvocab_6 0.321 0.010 33.024 0.000 0.321 0.484
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB 0.000 0.000 0.000
g_eta2 0.000 0.000 0.000
g_eta4 0.000 0.000 0.000
g_eta6 0.000 0.000 0.000
.flnkr_0 (ta_S) -0.598 0.009 -67.471 0.000 -0.598 -0.623
.flnkr_2 (t_S2) 0.024 0.009 2.843 0.004 0.024 0.030
.flnkr_4 (t_S4) 0.427 0.009 47.661 0.000 0.427 0.522
.flnkr_6 (t_S6) 0.669 0.011 63.406 0.000 0.669 0.825
.pttrn_0 (ta_R) -0.744 0.007 -112.876 0.000 -0.744 -1.043
.pttrn_2 (t_R2) -0.007 0.008 -0.956 0.339 -0.007 -0.010
.pttrn_4 (t_R4) 0.534 0.009 59.521 0.000 0.534 0.650
.pttrn_6 (t_R6) 0.930 0.011 83.968 0.000 0.930 1.071
.pictr_0 (ta_M) -0.366 0.008 -45.951 0.000 -0.366 -0.424
.pictr_2 (t_M2) 0.030 0.009 3.381 0.001 0.030 0.033
.pictr_4 (t_M4) 0.237 0.011 21.441 0.000 0.237 0.218
.pictr_6 (t_M6) 0.218 0.014 15.589 0.000 0.218 0.203
.pcvcb_0 (ta_P) -0.562 0.008 -73.704 0.000 -0.562 -0.679
.pcvcb_2 (t_P2) -0.123 0.008 -14.938 0.000 -0.123 -0.141
.pcvcb_4 (t_P4) 0.374 0.009 42.281 0.000 0.374 0.409
.pcvcb_6 (t_P6) 0.667 0.010 65.010 0.000 0.667 0.732
.redng_0 (ta_V) -0.600 0.008 -77.156 0.000 -0.600 -0.711
.redng_2 (t_V2) -0.116 0.008 -15.025 0.000 -0.116 -0.142
.redng_4 (t_V4) 0.420 0.009 48.431 0.000 0.420 0.470
.redng_6 (t_V6) 0.710 0.011 66.465 0.000 0.710 0.763
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB 1.000 1.000 1.000
g_eta2 1.000 1.000 1.000
g_eta4 1.000 1.000 1.000
g_eta6 1.000 1.000 1.000
.flanker_0 0.593 0.011 51.865 0.000 0.593 0.644
.flanker_2 0.412 0.009 44.151 0.000 0.412 0.623
.flanker_4 0.384 0.010 39.553 0.000 0.384 0.576
.flanker_6 0.359 0.011 32.120 0.000 0.359 0.544
.pattern_0 0.385 0.006 62.591 0.000 0.385 0.757
.pattern_2 0.378 0.008 50.018 0.000 0.378 0.687
.pattern_4 0.424 0.009 44.728 0.000 0.424 0.628
.pattern_6 0.380 0.012 30.985 0.000 0.380 0.504
.picture_0 0.627 0.009 69.167 0.000 0.627 0.843
.picture_2 0.696 0.011 65.601 0.000 0.696 0.844
.picture_4 1.007 0.016 62.576 0.000 1.007 0.850
.picture_6 0.938 0.021 45.520 0.000 0.938 0.810
.picvocab_0 0.550 0.008 65.202 0.000 0.550 0.804
.picvocab_2 0.591 0.010 61.419 0.000 0.591 0.777
.picvocab_4 0.656 0.011 59.683 0.000 0.656 0.781
.picvocab_6 0.666 0.014 48.937 0.000 0.666 0.801
.reading_0 0.565 0.009 64.788 0.000 0.565 0.793
.reading_2 0.547 0.009 63.658 0.000 0.547 0.811
.reading_4 0.660 0.011 62.213 0.000 0.660 0.828
.reading_6 0.717 0.015 48.842 0.000 0.717 0.830
R-Square:
Estimate
flanker_0 0.356
flanker_2 0.377
flanker_4 0.424
flanker_6 0.456
pattern_0 0.243
pattern_2 0.313
pattern_4 0.372
pattern_6 0.496
picture_0 0.157
picture_2 0.156
picture_4 0.150
picture_6 0.190
picvocab_0 0.196
picvocab_2 0.223
picvocab_4 0.219
picvocab_6 0.199
reading_0 0.207
reading_2 0.189
reading_4 0.172
reading_6 0.170
Weak invariance model
model fit
g.4t.weak.invar <- "#factor loadings # S & S2
g_etaB =~ lambda_S*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ lambda_S*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ lambda_S*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ lambda_S*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances # 1*
g_etaB~~1*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#latent variable covariances
g_etaB~~g_eta2 + g_eta4 + g_eta6
g_eta2~~g_eta4 + g_eta6
g_eta4~~g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#latent variable intercepts # 0*1
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S2*1
flanker_4~tau_S4*1
flanker_6~tau_S6*1
pattern_0~tau_R*1
pattern_2~tau_R2*1
pattern_4~tau_R4*1
pattern_6~tau_R6*1
picture_0~tau_M*1
picture_2~tau_M2*1
picture_4~tau_M4*1
picture_6~tau_M6*1
picvocab_0~tau_P*1
picvocab_2~tau_P2*1
picvocab_4~tau_P4*1
picvocab_6~tau_P6*1
reading_0~tau_V*1
reading_2~tau_V2*1
reading_4~tau_V4*1
reading_6~tau_V6*1"
lavaan(g.4t.weak.invar,
data = g_factor_5task_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("g_4t_weak.rds")result
readRDS("g_4t_weak.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("g_4t_weak_result.rds")# Check for Haywood case
eigen(inspect(readRDS("g_4t_weak.rds"), "cor.lv"))$value[1] 3.70646468 0.18069567 0.05759720 0.05524245
readRDS("g_4t_weak_result.rds")lavaan 0.6-19 ended normally after 92 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 115
Number of equality constraints 15
Used Total
Number of observations 11849 11865
Number of missing patterns 221
Model Test User Model:
Test statistic 2358.146
Degrees of freedom 130
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 79857.953
Degrees of freedom 190
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.972
Tucker-Lewis Index (TLI) 0.959
Robust Comparative Fit Index (CFI) 0.970
Robust Tucker-Lewis Index (TLI) 0.957
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -179576.147
Loglikelihood unrestricted model (H1) -178397.074
Akaike (AIC) 359352.293
Bayesian (BIC) 360090.293
Sample-size adjusted Bayesian (SABIC) 359772.505
Root Mean Square Error of Approximation:
RMSEA 0.038
90 Percent confidence interval - lower 0.037
90 Percent confidence interval - upper 0.039
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.050
90 Percent confidence interval - lower 0.048
90 Percent confidence interval - upper 0.052
P-value H_0: Robust RMSEA <= 0.050 0.629
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.050
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB =~
flnkr_0 (lm_S) 0.497 0.008 62.322 0.000 0.497 0.532
pttrn_0 (lm_R) 0.410 0.007 61.927 0.000 0.410 0.558
pictr_0 (lm_M) 0.359 0.008 45.823 0.000 0.359 0.414
pcvcb_0 (lm_P) 0.379 0.009 41.185 0.000 0.379 0.456
redng_0 (lm_V) 0.346 0.009 38.029 0.000 0.346 0.414
g_eta2 =~
flnkr_2 (lm_S) 0.497 0.008 62.322 0.000 0.511 0.626
pttrn_2 (lm_R) 0.410 0.007 61.927 0.000 0.421 0.567
pictr_2 (lm_M) 0.359 0.008 45.823 0.000 0.369 0.405
pcvcb_2 (lm_P) 0.379 0.009 41.185 0.000 0.390 0.450
redng_2 (lm_V) 0.346 0.009 38.029 0.000 0.356 0.433
g_eta4 =~
flnkr_4 (lm_S) 0.497 0.008 62.322 0.000 0.555 0.670
pttrn_4 (lm_R) 0.410 0.007 61.927 0.000 0.457 0.568
pictr_4 (lm_M) 0.359 0.008 45.823 0.000 0.400 0.370
pcvcb_4 (lm_P) 0.379 0.009 41.185 0.000 0.423 0.463
redng_4 (lm_V) 0.346 0.009 38.029 0.000 0.386 0.431
g_eta6 =~
flnkr_6 (lm_S) 0.497 0.008 62.322 0.000 0.584 0.701
pttrn_6 (lm_R) 0.410 0.007 61.927 0.000 0.481 0.586
pictr_6 (lm_M) 0.359 0.008 45.823 0.000 0.421 0.397
pcvcb_6 (lm_P) 0.379 0.009 41.185 0.000 0.445 0.483
redng_6 (lm_V) 0.346 0.009 38.029 0.000 0.407 0.435
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB ~~
g_eta2 0.957 0.013 73.845 0.000 0.931 0.931
g_eta4 0.997 0.016 63.406 0.000 0.893 0.893
g_eta6 0.978 0.020 48.061 0.000 0.833 0.833
g_eta2 ~~
g_eta4 1.066 0.023 46.279 0.000 0.929 0.929
g_eta6 1.080 0.027 40.579 0.000 0.894 0.894
g_eta4 ~~
g_eta6 1.222 0.031 39.195 0.000 0.932 0.932
.flanker_0 ~~
.flanker_2 0.093 0.008 11.972 0.000 0.093 0.185
.flanker_4 0.051 0.008 6.419 0.000 0.051 0.105
.flanker_6 0.044 0.009 4.747 0.000 0.044 0.094
.flanker_2 ~~
.flanker_4 0.093 0.008 12.092 0.000 0.093 0.237
.flanker_6 0.073 0.008 8.807 0.000 0.073 0.194
.flanker_4 ~~
.flanker_6 0.103 0.009 10.918 0.000 0.103 0.282
.pattern_0 ~~
.pattern_2 0.117 0.005 21.937 0.000 0.117 0.314
.pattern_4 0.084 0.006 14.260 0.000 0.084 0.208
.pattern_6 0.072 0.007 10.326 0.000 0.072 0.178
.pattern_2 ~~
.pattern_4 0.144 0.007 21.384 0.000 0.144 0.354
.pattern_6 0.122 0.007 16.509 0.000 0.122 0.301
.pattern_4 ~~
.pattern_6 0.174 0.009 19.374 0.000 0.174 0.396
.picture_0 ~~
.picture_2 0.227 0.008 30.093 0.000 0.227 0.345
.picture_4 0.230 0.009 24.848 0.000 0.230 0.289
.picture_6 0.262 0.011 22.962 0.000 0.262 0.340
.picture_2 ~~
.picture_4 0.253 0.010 24.975 0.000 0.253 0.302
.picture_6 0.286 0.013 21.915 0.000 0.286 0.352
.picture_4 ~~
.picture_6 0.357 0.015 23.311 0.000 0.357 0.364
.picvocab_0 ~~
.picvocab_2 0.382 0.008 49.271 0.000 0.382 0.668
.picvocab_4 0.381 0.008 47.105 0.000 0.381 0.637
.picvocab_6 0.371 0.009 42.022 0.000 0.371 0.623
.picvocab_2 ~~
.picvocab_4 0.452 0.009 50.218 0.000 0.452 0.720
.picvocab_6 0.446 0.010 45.431 0.000 0.446 0.715
.picvocab_4 ~~
.picvocab_6 0.491 0.011 46.173 0.000 0.491 0.751
.reading_0 ~~
.reading_2 0.405 0.008 53.258 0.000 0.405 0.719
.reading_4 0.406 0.008 49.661 0.000 0.406 0.660
.reading_6 0.417 0.010 43.424 0.000 0.417 0.652
.reading_2 ~~
.reading_4 0.414 0.008 50.508 0.000 0.414 0.691
.reading_6 0.429 0.010 44.841 0.000 0.429 0.689
.reading_4 ~~
.reading_6 0.453 0.011 42.834 0.000 0.453 0.666
.picvocab_0 ~~
.reading_0 0.228 0.007 33.357 0.000 0.228 0.405
.picvocab_2 ~~
.reading_2 0.282 0.007 38.106 0.000 0.282 0.493
.picvocab_4 ~~
.reading_4 0.322 0.009 37.083 0.000 0.322 0.491
.picvocab_6 ~~
.reading_6 0.359 0.011 32.229 0.000 0.359 0.530
.picvocab_0 ~~
.reading_2 0.239 0.007 35.454 0.000 0.239 0.436
.reading_4 0.254 0.007 34.426 0.000 0.254 0.425
.reading_6 0.281 0.009 31.980 0.000 0.281 0.452
.reading_0 ~~
.picvocab_2 0.261 0.007 35.758 0.000 0.261 0.443
.picvocab_2 ~~
.reading_4 0.304 0.008 37.687 0.000 0.304 0.485
.reading_6 0.335 0.010 34.888 0.000 0.335 0.515
.reading_0 ~~
.picvocab_4 0.266 0.008 34.400 0.000 0.266 0.431
.reading_2 ~~
.picvocab_4 0.290 0.008 37.224 0.000 0.290 0.483
.picvocab_4 ~~
.reading_6 0.359 0.010 34.865 0.000 0.359 0.528
.reading_0 ~~
.picvocab_6 0.249 0.009 28.804 0.000 0.249 0.406
.reading_2 ~~
.picvocab_6 0.273 0.009 31.570 0.000 0.273 0.458
.reading_4 ~~
.picvocab_6 0.312 0.010 32.344 0.000 0.312 0.479
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB 0.000 0.000 0.000
g_eta2 0.000 0.000 0.000
g_eta4 0.000 0.000 0.000
g_eta6 0.000 0.000 0.000
.flnkr_0 (ta_S) -0.598 0.009 -69.275 0.000 -0.598 -0.640
.flnkr_2 (t_S2) 0.024 0.009 2.758 0.006 0.024 0.029
.flnkr_4 (t_S4) 0.426 0.009 47.100 0.000 0.426 0.515
.flnkr_6 (t_S6) 0.666 0.011 62.118 0.000 0.666 0.800
.pttrn_0 (ta_R) -0.744 0.007 -109.645 0.000 -0.744 -1.013
.pttrn_2 (t_R2) -0.007 0.008 -0.934 0.350 -0.007 -0.010
.pttrn_4 (t_R4) 0.536 0.009 60.663 0.000 0.536 0.666
.pttrn_6 (t_R6) 0.941 0.011 87.812 0.000 0.941 1.146
.pictr_0 (ta_M) -0.366 0.008 -45.732 0.000 -0.366 -0.422
.pictr_2 (t_M2) 0.030 0.009 3.364 0.001 0.030 0.033
.pictr_4 (t_M4) 0.238 0.011 21.638 0.000 0.238 0.220
.pictr_6 (t_M6) 0.223 0.014 16.085 0.000 0.223 0.210
.pcvcb_0 (ta_P) -0.562 0.008 -73.399 0.000 -0.562 -0.676
.pcvcb_2 (t_P2) -0.122 0.008 -14.964 0.000 -0.122 -0.141
.pcvcb_4 (t_P4) 0.375 0.009 42.429 0.000 0.375 0.410
.pcvcb_6 (t_P6) 0.664 0.010 64.303 0.000 0.664 0.721
.redng_0 (ta_V) -0.600 0.008 -77.918 0.000 -0.600 -0.718
.redng_2 (t_V2) -0.117 0.008 -15.062 0.000 -0.117 -0.142
.redng_4 (t_V4) 0.419 0.009 48.110 0.000 0.419 0.467
.redng_6 (t_V6) 0.707 0.011 66.165 0.000 0.707 0.757
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB 1.000 1.000 1.000
g_eta2 1.058 0.024 44.420 0.000 1.000 1.000
g_eta4 1.246 0.031 40.298 0.000 1.000 1.000
g_eta6 1.380 0.042 33.116 0.000 1.000 1.000
.flanker_0 0.626 0.011 59.132 0.000 0.626 0.717
.flanker_2 0.405 0.009 45.258 0.000 0.405 0.608
.flanker_4 0.378 0.010 39.608 0.000 0.378 0.551
.flanker_6 0.352 0.011 30.841 0.000 0.352 0.508
.pattern_0 0.371 0.006 60.189 0.000 0.371 0.689
.pattern_2 0.375 0.007 51.267 0.000 0.375 0.679
.pattern_4 0.439 0.009 48.465 0.000 0.439 0.678
.pattern_6 0.442 0.012 38.389 0.000 0.442 0.656
.picture_0 0.622 0.009 69.189 0.000 0.622 0.828
.picture_2 0.693 0.011 65.882 0.000 0.693 0.836
.picture_4 1.011 0.016 63.488 0.000 1.011 0.863
.picture_6 0.950 0.020 46.444 0.000 0.950 0.843
.picvocab_0 0.546 0.008 65.194 0.000 0.546 0.792
.picvocab_2 0.599 0.010 62.282 0.000 0.599 0.798
.picvocab_4 0.656 0.011 60.072 0.000 0.656 0.786
.picvocab_6 0.651 0.013 48.386 0.000 0.651 0.767
.reading_0 0.578 0.009 66.165 0.000 0.578 0.828
.reading_2 0.548 0.009 63.861 0.000 0.548 0.812
.reading_4 0.655 0.011 62.181 0.000 0.655 0.814
.reading_6 0.707 0.015 48.716 0.000 0.707 0.810
R-Square:
Estimate
flanker_0 0.283
flanker_2 0.392
flanker_4 0.449
flanker_6 0.492
pattern_0 0.311
pattern_2 0.321
pattern_4 0.322
pattern_6 0.344
picture_0 0.172
picture_2 0.164
picture_4 0.137
picture_6 0.157
picvocab_0 0.208
picvocab_2 0.202
picvocab_4 0.214
picvocab_6 0.233
reading_0 0.172
reading_2 0.188
reading_4 0.186
reading_6 0.190
Strong invariance model
model fit
g.4t.strong.invar <- "#factor loadings # S & S2
g_etaB =~ lambda_S*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ lambda_S*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ lambda_S*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ lambda_S*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances # 1*
g_etaB~~1*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#latent variable covariances
g_etaB~~g_eta2 + g_eta4 + g_eta6
g_eta2~~g_eta4 + g_eta6
g_eta4~~g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#latent variable intercepts # m*1
g_etaB~0*1
g_eta2~m2*1
g_eta4~m4*1
g_eta6~m6*1
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1"
lavaan(g.4t.strong.invar,
data = g_factor_5task_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("g_4t_strong.rds")result
readRDS("g_4t_strong.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("g_4t_strong_result.rds")# Check for Haywood case
eigen(inspect(readRDS("g_4t_strong.rds"), "cor.lv"))$value[1] 3.73491679 0.16816756 0.05214977 0.04476588
readRDS("g_4t_strong_result.rds")lavaan 0.6-19 ended normally after 110 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 118
Number of equality constraints 30
Used Total
Number of observations 11849 11865
Number of missing patterns 221
Model Test User Model:
Test statistic 4058.184
Degrees of freedom 142
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 79857.953
Degrees of freedom 190
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.951
Tucker-Lewis Index (TLI) 0.934
Robust Comparative Fit Index (CFI) 0.950
Robust Tucker-Lewis Index (TLI) 0.933
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -180426.166
Loglikelihood unrestricted model (H1) -178397.074
Akaike (AIC) 361028.332
Bayesian (BIC) 361677.771
Sample-size adjusted Bayesian (SABIC) 361398.118
Root Mean Square Error of Approximation:
RMSEA 0.048
90 Percent confidence interval - lower 0.047
90 Percent confidence interval - upper 0.050
P-value H_0: RMSEA <= 0.050 0.988
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.062
90 Percent confidence interval - lower 0.060
90 Percent confidence interval - upper 0.064
P-value H_0: Robust RMSEA <= 0.050 0.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.079
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB =~
flnkr_0 (lm_S) 0.404 0.005 77.613 0.000 0.404 0.439
pttrn_0 (lm_R) 0.486 0.005 88.816 0.000 0.486 0.642
pictr_0 (lm_M) 0.238 0.004 57.832 0.000 0.238 0.282
pcvcb_0 (lm_P) 0.368 0.005 78.730 0.000 0.368 0.440
redng_0 (lm_V) 0.385 0.005 79.855 0.000 0.385 0.452
g_eta2 =~
flnkr_2 (lm_S) 0.404 0.005 77.613 0.000 0.417 0.524
pttrn_2 (lm_R) 0.486 0.005 88.816 0.000 0.502 0.655
pictr_2 (lm_M) 0.238 0.004 57.832 0.000 0.246 0.276
pcvcb_2 (lm_P) 0.368 0.005 78.730 0.000 0.380 0.435
redng_2 (lm_V) 0.385 0.005 79.855 0.000 0.398 0.472
g_eta4 =~
flnkr_4 (lm_S) 0.404 0.005 77.613 0.000 0.453 0.568
pttrn_4 (lm_R) 0.486 0.005 88.816 0.000 0.545 0.660
pictr_4 (lm_M) 0.238 0.004 57.832 0.000 0.267 0.251
pcvcb_4 (lm_P) 0.368 0.005 78.730 0.000 0.413 0.447
redng_4 (lm_V) 0.385 0.005 79.855 0.000 0.432 0.469
g_eta6 =~
flnkr_6 (lm_S) 0.404 0.005 77.613 0.000 0.479 0.597
pttrn_6 (lm_R) 0.486 0.005 88.816 0.000 0.576 0.684
pictr_6 (lm_M) 0.238 0.004 57.832 0.000 0.282 0.268
pcvcb_6 (lm_P) 0.368 0.005 78.730 0.000 0.436 0.468
redng_6 (lm_V) 0.385 0.005 79.855 0.000 0.457 0.474
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB ~~
g_eta2 0.972 0.013 75.568 0.000 0.942 0.942
g_eta4 1.011 0.015 65.327 0.000 0.901 0.901
g_eta6 1.000 0.020 49.617 0.000 0.843 0.843
g_eta2 ~~
g_eta4 1.088 0.023 47.296 0.000 0.940 0.940
g_eta6 1.108 0.027 41.559 0.000 0.906 0.906
g_eta4 ~~
g_eta6 1.244 0.031 39.728 0.000 0.936 0.936
.flanker_0 ~~
.flanker_2 0.139 0.007 18.944 0.000 0.139 0.248
.flanker_4 0.095 0.008 12.593 0.000 0.095 0.176
.flanker_6 0.082 0.009 9.029 0.000 0.082 0.155
.flanker_2 ~~
.flanker_4 0.134 0.007 18.560 0.000 0.134 0.302
.flanker_6 0.110 0.008 13.748 0.000 0.110 0.253
.flanker_4 ~~
.flanker_6 0.151 0.009 16.871 0.000 0.151 0.357
.pattern_0 ~~
.pattern_2 0.078 0.005 14.295 0.000 0.078 0.232
.pattern_4 0.045 0.006 7.471 0.000 0.045 0.125
.pattern_6 0.028 0.007 3.961 0.000 0.028 0.079
.pattern_2 ~~
.pattern_4 0.098 0.007 14.379 0.000 0.098 0.272
.pattern_6 0.074 0.008 9.869 0.000 0.074 0.209
.pattern_4 ~~
.pattern_6 0.117 0.009 13.074 0.000 0.117 0.307
.picture_0 ~~
.picture_2 0.255 0.007 34.224 0.000 0.255 0.368
.picture_4 0.259 0.009 28.174 0.000 0.259 0.312
.picture_6 0.283 0.012 23.939 0.000 0.283 0.345
.picture_2 ~~
.picture_4 0.284 0.010 28.037 0.000 0.284 0.323
.picture_6 0.284 0.013 21.384 0.000 0.284 0.328
.picture_4 ~~
.picture_6 0.398 0.016 25.426 0.000 0.398 0.383
.picvocab_0 ~~
.picvocab_2 0.397 0.007 53.097 0.000 0.397 0.672
.picvocab_4 0.401 0.008 50.727 0.000 0.401 0.647
.picvocab_6 0.394 0.009 44.562 0.000 0.394 0.636
.picvocab_2 ~~
.picvocab_4 0.472 0.009 54.179 0.000 0.472 0.726
.picvocab_6 0.466 0.010 48.026 0.000 0.466 0.719
.picvocab_4 ~~
.picvocab_6 0.517 0.011 48.959 0.000 0.517 0.759
.reading_0 ~~
.reading_2 0.406 0.007 55.074 0.000 0.406 0.718
.reading_4 0.410 0.008 51.183 0.000 0.410 0.664
.reading_6 0.425 0.010 44.471 0.000 0.425 0.659
.reading_2 ~~
.reading_4 0.417 0.008 51.619 0.000 0.417 0.691
.reading_6 0.434 0.010 45.496 0.000 0.434 0.690
.reading_4 ~~
.reading_6 0.463 0.011 43.538 0.000 0.463 0.673
.picvocab_0 ~~
.reading_0 0.237 0.006 36.515 0.000 0.237 0.415
.reading_2 0.246 0.007 37.560 0.000 0.246 0.441
.reading_4 0.265 0.007 36.424 0.000 0.265 0.435
.reading_6 0.298 0.009 33.749 0.000 0.298 0.468
.picvocab_2 ~~
.reading_2 0.293 0.007 40.873 0.000 0.293 0.501
.reading_0 ~~
.picvocab_2 0.269 0.007 38.396 0.000 0.269 0.449
.picvocab_2 ~~
.reading_4 0.313 0.008 39.661 0.000 0.313 0.489
.reading_6 0.348 0.010 36.313 0.000 0.348 0.521
.picvocab_4 ~~
.reading_4 0.335 0.009 39.328 0.000 0.335 0.499
.reading_0 ~~
.picvocab_4 0.277 0.007 37.031 0.000 0.277 0.442
.reading_2 ~~
.picvocab_4 0.301 0.008 39.551 0.000 0.301 0.490
.picvocab_4 ~~
.reading_6 0.377 0.010 36.614 0.000 0.377 0.539
.picvocab_6 ~~
.reading_6 0.379 0.011 33.643 0.000 0.379 0.542
.reading_0 ~~
.picvocab_6 0.263 0.009 30.683 0.000 0.263 0.420
.reading_2 ~~
.picvocab_6 0.284 0.009 33.039 0.000 0.284 0.464
.reading_4 ~~
.picvocab_6 0.328 0.010 33.946 0.000 0.328 0.490
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB 0.000 0.000 0.000
g_eta2 (m2) 1.362 0.018 75.992 0.000 1.319 1.319
g_eta4 (m4) 2.598 0.031 83.331 0.000 2.317 2.317
g_eta6 (m6) 3.312 0.040 83.008 0.000 2.794 2.794
.flnkr_0 (ta_S) -0.595 0.008 -75.846 0.000 -0.595 -0.648
.flnkr_2 (ta_S) -0.595 0.008 -75.846 0.000 -0.595 -0.749
.flnkr_4 (ta_S) -0.595 0.008 -75.846 0.000 -0.595 -0.747
.flnkr_6 (ta_S) -0.595 0.008 -75.846 0.000 -0.595 -0.743
.pttrn_0 (ta_R) -0.714 0.007 -103.667 0.000 -0.714 -0.944
.pttrn_2 (ta_R) -0.714 0.007 -103.667 0.000 -0.714 -0.933
.pttrn_4 (ta_R) -0.714 0.007 -103.667 0.000 -0.714 -0.865
.pttrn_6 (ta_R) -0.714 0.007 -103.667 0.000 -0.714 -0.848
.pictr_0 (ta_M) -0.358 0.007 -48.083 0.000 -0.358 -0.424
.pictr_2 (ta_M) -0.358 0.007 -48.083 0.000 -0.358 -0.402
.pictr_4 (ta_M) -0.358 0.007 -48.083 0.000 -0.358 -0.337
.pictr_6 (ta_M) -0.358 0.007 -48.083 0.000 -0.358 -0.340
.pcvcb_0 (ta_P) -0.585 0.008 -76.695 0.000 -0.585 -0.700
.pcvcb_2 (ta_P) -0.585 0.008 -76.695 0.000 -0.585 -0.669
.pcvcb_4 (ta_P) -0.585 0.008 -76.695 0.000 -0.585 -0.633
.pcvcb_6 (ta_P) -0.585 0.008 -76.695 0.000 -0.585 -0.627
.redng_0 (ta_V) -0.606 0.008 -78.537 0.000 -0.606 -0.711
.redng_2 (ta_V) -0.606 0.008 -78.537 0.000 -0.606 -0.719
.redng_4 (ta_V) -0.606 0.008 -78.537 0.000 -0.606 -0.659
.redng_6 (ta_V) -0.606 0.008 -78.537 0.000 -0.606 -0.630
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB 1.000 1.000 1.000
g_eta2 1.065 0.024 44.673 0.000 1.000 1.000
g_eta4 1.257 0.031 40.683 0.000 1.000 1.000
g_eta6 1.405 0.042 33.386 0.000 1.000 1.000
.flanker_0 0.682 0.010 68.309 0.000 0.682 0.807
.flanker_2 0.459 0.008 54.130 0.000 0.459 0.725
.flanker_4 0.431 0.009 49.358 0.000 0.431 0.678
.flanker_6 0.413 0.011 38.948 0.000 0.413 0.643
.pattern_0 0.336 0.006 53.034 0.000 0.336 0.587
.pattern_2 0.335 0.007 45.144 0.000 0.335 0.571
.pattern_4 0.385 0.009 43.060 0.000 0.385 0.564
.pattern_6 0.377 0.011 33.109 0.000 0.377 0.532
.picture_0 0.654 0.009 73.624 0.000 0.654 0.920
.picture_2 0.731 0.011 69.378 0.000 0.731 0.924
.picture_4 1.056 0.016 66.345 0.000 1.056 0.937
.picture_6 1.026 0.021 48.197 0.000 1.026 0.928
.picvocab_0 0.563 0.008 69.317 0.000 0.563 0.806
.picvocab_2 0.619 0.009 66.396 0.000 0.619 0.811
.picvocab_4 0.682 0.011 63.670 0.000 0.682 0.800
.picvocab_6 0.680 0.014 50.069 0.000 0.680 0.781
.reading_0 0.578 0.008 68.886 0.000 0.578 0.796
.reading_2 0.552 0.008 65.298 0.000 0.552 0.777
.reading_4 0.660 0.011 62.786 0.000 0.660 0.780
.reading_6 0.718 0.015 48.804 0.000 0.718 0.775
R-Square:
Estimate
flanker_0 0.193
flanker_2 0.275
flanker_4 0.322
flanker_6 0.357
pattern_0 0.413
pattern_2 0.429
pattern_4 0.436
pattern_6 0.468
picture_0 0.080
picture_2 0.076
picture_4 0.063
picture_6 0.072
picvocab_0 0.194
picvocab_2 0.189
picvocab_4 0.200
picvocab_6 0.219
reading_0 0.204
reading_2 0.223
reading_4 0.220
reading_6 0.225
Latent growth curve model
model fit
lg.g.4t.strong.invar <- "#factor loadings # S & S2
g_etaB =~ 1*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ 1*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ 1*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ 1*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances
g_etaB~~NA*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1
#latent basis model
g_i =~ 1*g_etaB + 1*g_eta2 + 1*g_eta4 + 1*g_eta6
g_s =~ 0*g_etaB + 1*g_eta2 + 2*g_eta4 + 3*g_eta6
g_i~~NA*g_i
g_s~~NA*g_s
g_i~~g_s
g_i~1
g_s~1
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1"
lavaan(lg.g.4t.strong.invar,
data = g_factor_5task_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("lg_g_4t_strong.rds")result
readRDS("lg_g_4t_strong.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("lgcm_g_4t_result.rds")# Check for Haywood case
eigen(inspect(readRDS("lg_g_4t_strong.rds"), "cor.lv"))$value[1] 4.74209664 0.94347328 0.15816137 0.07995776 0.05973178 0.01657917
readRDS("lgcm_g_4t_result.rds")lavaan 0.6-19 ended normally after 79 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 111
Number of equality constraints 27
Used Total
Number of observations 11849 11865
Number of missing patterns 221
Model Test User Model:
Test statistic 5593.511
Degrees of freedom 146
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 79857.953
Degrees of freedom 190
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.932
Tucker-Lewis Index (TLI) 0.911
Robust Comparative Fit Index (CFI) 0.924
Robust Tucker-Lewis Index (TLI) 0.901
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -181193.829
Loglikelihood unrestricted model (H1) -178397.074
Akaike (AIC) 362555.658
Bayesian (BIC) 363175.578
Sample-size adjusted Bayesian (SABIC) 362908.635
Root Mean Square Error of Approximation:
RMSEA 0.056
90 Percent confidence interval - lower 0.055
90 Percent confidence interval - upper 0.057
P-value H_0: RMSEA <= 0.050 0.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.075
90 Percent confidence interval - lower 0.073
90 Percent confidence interval - upper 0.077
P-value H_0: Robust RMSEA <= 0.050 0.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.084
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB =~
flnkr_0 1.000 0.403 0.438
pttrn_0 (lm_R) 1.218 0.011 112.657 0.000 0.491 0.646
pictr_0 (lm_M) 0.597 0.009 64.674 0.000 0.241 0.286
pcvcb_0 (lm_P) 0.929 0.009 107.722 0.000 0.375 0.447
redng_0 (lm_V) 0.980 0.009 111.420 0.000 0.395 0.462
g_eta2 =~
flnkr_2 1.000 0.412 0.517
pttrn_2 (lm_R) 1.218 0.011 112.657 0.000 0.502 0.653
pictr_2 (lm_M) 0.597 0.009 64.674 0.000 0.246 0.276
pcvcb_2 (lm_P) 0.929 0.009 107.722 0.000 0.383 0.438
redng_2 (lm_V) 0.980 0.009 111.420 0.000 0.404 0.479
g_eta4 =~
flnkr_4 1.000 0.442 0.557
pttrn_4 (lm_R) 1.218 0.011 112.657 0.000 0.539 0.655
pictr_4 (lm_M) 0.597 0.009 64.674 0.000 0.264 0.249
pcvcb_4 (lm_P) 0.929 0.009 107.722 0.000 0.411 0.444
redng_4 (lm_V) 0.980 0.009 111.420 0.000 0.433 0.469
g_eta6 =~
flnkr_6 1.000 0.495 0.609
pttrn_6 (lm_R) 1.218 0.011 112.657 0.000 0.603 0.706
pictr_6 (lm_M) 0.597 0.009 64.674 0.000 0.296 0.279
pcvcb_6 (lm_P) 0.929 0.009 107.722 0.000 0.460 0.492
redng_6 (lm_V) 0.980 0.009 111.420 0.000 0.485 0.500
g_i =~
g_etaB 1.000 0.962 0.962
g_eta2 1.000 0.941 0.941
g_eta4 1.000 0.878 0.878
g_eta6 1.000 0.784 0.784
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.125 0.125
g_eta4 2.000 0.233 0.233
g_eta6 3.000 0.313 0.313
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.flanker_0 ~~
.flanker_2 0.138 0.007 18.757 0.000 0.138 0.244
.flanker_4 0.098 0.008 13.077 0.000 0.098 0.180
.flanker_6 0.087 0.009 9.342 0.000 0.087 0.162
.flanker_2 ~~
.flanker_4 0.144 0.007 19.867 0.000 0.144 0.321
.flanker_6 0.102 0.008 12.568 0.000 0.102 0.231
.flanker_4 ~~
.flanker_6 0.152 0.009 16.848 0.000 0.152 0.358
.pattern_0 ~~
.pattern_2 0.073 0.005 13.347 0.000 0.073 0.216
.pattern_4 0.040 0.006 6.702 0.000 0.040 0.110
.pattern_6 0.032 0.007 4.543 0.000 0.032 0.092
.pattern_2 ~~
.pattern_4 0.105 0.007 15.262 0.000 0.105 0.289
.pattern_6 0.073 0.008 9.747 0.000 0.073 0.208
.pattern_4 ~~
.pattern_6 0.126 0.009 14.122 0.000 0.126 0.335
.picture_0 ~~
.picture_2 0.253 0.007 34.003 0.000 0.253 0.366
.picture_4 0.259 0.009 28.239 0.000 0.259 0.312
.picture_6 0.284 0.012 23.735 0.000 0.284 0.345
.picture_2 ~~
.picture_4 0.288 0.010 28.241 0.000 0.288 0.327
.picture_6 0.269 0.013 20.069 0.000 0.269 0.309
.picture_4 ~~
.picture_6 0.393 0.016 24.846 0.000 0.393 0.375
.picvocab_0 ~~
.picvocab_2 0.399 0.007 53.289 0.000 0.399 0.677
.picvocab_4 0.403 0.008 50.757 0.000 0.403 0.648
.picvocab_6 0.382 0.009 43.340 0.000 0.382 0.627
.picvocab_2 ~~
.picvocab_4 0.475 0.009 54.148 0.000 0.475 0.728
.picvocab_6 0.462 0.010 47.545 0.000 0.462 0.721
.picvocab_4 ~~
.picvocab_6 0.511 0.011 48.475 0.000 0.511 0.757
.reading_0 ~~
.reading_2 0.406 0.007 55.045 0.000 0.406 0.723
.reading_4 0.410 0.008 50.887 0.000 0.410 0.662
.reading_6 0.419 0.010 43.661 0.000 0.419 0.658
.reading_2 ~~
.reading_4 0.419 0.008 51.401 0.000 0.419 0.694
.reading_6 0.436 0.010 45.385 0.000 0.436 0.700
.reading_4 ~~
.reading_6 0.459 0.011 43.012 0.000 0.459 0.670
.picvocab_0 ~~
.reading_0 0.235 0.007 36.084 0.000 0.235 0.413
.reading_2 0.248 0.007 37.774 0.000 0.248 0.446
.reading_4 0.266 0.007 36.339 0.000 0.266 0.436
.reading_6 0.285 0.009 32.253 0.000 0.285 0.453
.picvocab_2 ~~
.reading_2 0.291 0.007 40.587 0.000 0.291 0.499
.reading_0 ~~
.picvocab_2 0.269 0.007 38.444 0.000 0.269 0.452
.picvocab_2 ~~
.reading_4 0.316 0.008 39.672 0.000 0.316 0.493
.reading_6 0.341 0.010 35.593 0.000 0.341 0.517
.picvocab_4 ~~
.reading_4 0.340 0.009 39.051 0.000 0.340 0.503
.reading_0 ~~
.picvocab_4 0.278 0.008 36.895 0.000 0.278 0.442
.reading_2 ~~
.picvocab_4 0.303 0.008 39.537 0.000 0.303 0.493
.picvocab_4 ~~
.reading_6 0.370 0.010 35.757 0.000 0.370 0.531
.picvocab_6 ~~
.reading_6 0.363 0.011 32.378 0.000 0.363 0.532
.reading_0 ~~
.picvocab_6 0.258 0.009 30.018 0.000 0.258 0.419
.reading_2 ~~
.picvocab_6 0.287 0.009 33.195 0.000 0.287 0.476
.reading_4 ~~
.picvocab_6 0.325 0.010 33.502 0.000 0.325 0.490
g_i ~~
g_s 0.004 0.001 3.523 0.000 0.213 0.213
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.flnkr_0 (ta_S) 0.087 0.005 18.000 0.000 0.087 0.094
.flnkr_2 (ta_S) 0.087 0.005 18.000 0.000 0.087 0.109
.flnkr_4 (ta_S) 0.087 0.005 18.000 0.000 0.087 0.109
.flnkr_6 (ta_S) 0.087 0.005 18.000 0.000 0.087 0.106
.pttrn_0 (ta_R) 0.100 0.004 22.857 0.000 0.100 0.132
.pttrn_2 (ta_R) 0.100 0.004 22.857 0.000 0.100 0.130
.pttrn_4 (ta_R) 0.100 0.004 22.857 0.000 0.100 0.122
.pttrn_6 (ta_R) 0.100 0.004 22.857 0.000 0.100 0.117
.pictr_0 (ta_M) 0.044 0.006 6.952 0.000 0.044 0.052
.pictr_2 (ta_M) 0.044 0.006 6.952 0.000 0.044 0.049
.pictr_4 (ta_M) 0.044 0.006 6.952 0.000 0.044 0.042
.pictr_6 (ta_M) 0.044 0.006 6.952 0.000 0.044 0.042
.pcvcb_0 (ta_P) 0.035 0.005 6.882 0.000 0.035 0.042
.pcvcb_2 (ta_P) 0.035 0.005 6.882 0.000 0.035 0.041
.pcvcb_4 (ta_P) 0.035 0.005 6.882 0.000 0.035 0.038
.pcvcb_6 (ta_P) 0.035 0.005 6.882 0.000 0.035 0.038
.redng_0 (ta_V) 0.045 0.005 9.119 0.000 0.045 0.053
.redng_2 (ta_V) 0.045 0.005 9.119 0.000 0.045 0.054
.redng_4 (ta_V) 0.045 0.005 9.119 0.000 0.045 0.049
.redng_6 (ta_V) 0.045 0.005 9.119 0.000 0.045 0.047
g_i -0.640 0.006 -101.666 0.000 -1.650 -1.650
g_s 0.473 0.004 128.142 0.000 9.159 9.159
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.g_etaB 0.012 0.002 5.338 0.000 0.075 0.075
.g_eta2 0.008 0.002 5.219 0.000 0.048 0.048
.g_eta4 0.017 0.002 8.203 0.000 0.088 0.088
.g_eta6 0.045 0.004 11.359 0.000 0.184 0.184
.flanker_0 0.684 0.010 68.036 0.000 0.684 0.808
.flanker_2 0.466 0.009 54.404 0.000 0.466 0.733
.flanker_4 0.435 0.009 49.459 0.000 0.435 0.690
.flanker_6 0.417 0.011 38.680 0.000 0.417 0.630
.pattern_0 0.337 0.006 52.377 0.000 0.337 0.583
.pattern_2 0.339 0.008 45.068 0.000 0.339 0.573
.pattern_4 0.386 0.009 42.798 0.000 0.386 0.571
.pattern_6 0.367 0.011 32.908 0.000 0.367 0.502
.picture_0 0.654 0.009 73.399 0.000 0.654 0.918
.picture_2 0.734 0.011 69.178 0.000 0.734 0.924
.picture_4 1.056 0.016 66.199 0.000 1.056 0.938
.picture_6 1.036 0.022 47.865 0.000 1.036 0.922
.picvocab_0 0.561 0.008 69.000 0.000 0.561 0.800
.picvocab_2 0.618 0.009 66.243 0.000 0.618 0.808
.picvocab_4 0.687 0.011 63.103 0.000 0.687 0.803
.picvocab_6 0.662 0.013 49.310 0.000 0.662 0.758
.reading_0 0.575 0.008 68.358 0.000 0.575 0.786
.reading_2 0.549 0.008 64.933 0.000 0.549 0.771
.reading_4 0.665 0.011 62.047 0.000 0.665 0.780
.reading_6 0.705 0.015 47.930 0.000 0.705 0.750
g_i 0.151 0.004 35.982 0.000 1.000 1.000
g_s 0.003 0.001 4.117 0.000 1.000 1.000
R-Square:
Estimate
g_etaB 0.925
g_eta2 0.952
g_eta4 0.912
g_eta6 0.816
flanker_0 0.192
flanker_2 0.267
flanker_4 0.310
flanker_6 0.370
pattern_0 0.417
pattern_2 0.427
pattern_4 0.429
pattern_6 0.498
picture_0 0.082
picture_2 0.076
picture_4 0.062
picture_6 0.078
picvocab_0 0.200
picvocab_2 0.192
picvocab_4 0.197
picvocab_6 0.242
reading_0 0.214
reading_2 0.229
reading_4 0.220
reading_6 0.250
ICC
lavPredict(readRDS("lg_g_4t_strong.rds"),
newdata = g_factor_5task_wide.scaled,
append.data = T
) %>%
data.frame() %>%
select(contains(c("g_eta"))) %>%
ICC(lmer = T) %>%
saveRDS("g_4t_icc.rds")readRDS("g_4t_icc.rds") %>%
{
\(x) x$results
}() %>%
knitr::kable()| type | ICC | F | df1 | df2 | p | lower bound | upper bound | |
|---|---|---|---|---|---|---|---|---|
| Single_raters_absolute | ICC1 | 0.0700689 | 1.301394 | 11864 | 35595 | 0 | 0.0618800 | 0.0784153 |
| Single_random_raters | ICC2 | 0.2438017 | 110.512305 | 11864 | 35592 | 0 | 0.0220432 | 0.4986010 |
| Single_fixed_raters | ICC3 | 0.9647615 | 110.512305 | 11864 | 35592 | 0 | 0.9637431 | 0.9657594 |
| Average_raters_absolute | ICC1k | 0.2315931 | 1.301394 | 11864 | 35595 | 0 | 0.2087649 | 0.2539261 |
| Average_random_raters | ICC2k | 0.5632459 | 110.512305 | 11864 | 35592 | 0 | 0.0827036 | 0.7991031 |
| Average_fixed_raters | ICC3k | 0.9909512 | 110.512305 | 11864 | 35592 | 0 | 0.9906824 | 0.9912142 |
LGCM plot
# create function to plot latent grwoth curve plot
lgcm_plot <- function(fit) {
pe <- parameterEstimates(fit) # Store parameter estimates in a variable
# Define the i, s, q equation parameters
intercept <- pe %>%
filter(str_length(lhs) <= 4 & str_detect(lhs, "_i") & str_detect(op, "~1")) %>%
select(est) %>%
pull()
slope <- pe %>%
filter(str_length(lhs) <= 4 & str_detect(lhs, "_s") & str_detect(op, "~1")) %>%
select(est) %>%
pull()
# Check if there is a quadratic component
if (any(str_detect(pe$lhs, "_q"))) {
quadratic <- pe %>%
filter(str_length(lhs) <= 4 & str_detect(lhs, "_q") & str_detect(op, "~1")) %>%
select(est) %>%
pull()
} else {
quadratic <- 0 # Set to zero if the quadratic component is missing
}
# Generate equation
x <- pe %>%
filter(str_length(lhs) <= 4 & str_detect(lhs, "_s") & str_detect(op, "=~")) %>%
select(est) %>%
pull()
y <- intercept + slope * x + quadratic * x^2
# Create a data frame
df <- data.frame(x = x, y = y)
# Create the line graph using ggplot2
plot <- ggplot(df, aes(x = x, y = y)) +
geom_line(size = 1, colour = "red") +
theme_bw(base_size = 30) +
xlab("Age (years old)")
# Display the plot
return(plot)
}
lgcm_plot(readRDS("lg_g_4t_strong.rds")) +
labs(y = "Children's\nCognitive Functioning") +
scale_x_continuous(labels = c("10", "12", "14", "16")) +
# add significant results for intercept and slope
annotate(geom = "text", x = 2.4, y = -0.3, label = 'paste(" ",italic("i")," = -.640***")', parse = TRUE, size = 10) +
annotate(geom = "text", x = 2.4, y = -0.5, label = 'paste(italic("s")," = .473***")', parse = TRUE, size = 10)Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
ℹ Please use `linewidth` instead.

Model comparison
lapply(
c(
"g_4t_config_result.rds",
"g_4t_weak_result.rds",
"g_4t_strong_result.rds",
"lgcm_g_4t_result.rds"
),
function(f) {
readRDS(f)$fit[c(
"chisq", "df", "pvalue",
"cfi.robust", "tli.robust",
"rmsea.robust", "rmsea.ci.lower.robust",
"rmsea.ci.upper.robust", "srmr"
)]
}
) %>%
do.call(rbind, .) %>%
round(3) %>%
data.frame(model = c("config", "weak", "strong", "LGCM"), ., row.names = NULL) %>%
knitr::kable()| model | chisq | df | pvalue | cfi.robust | tli.robust | rmsea.robust | rmsea.ci.lower.robust | rmsea.ci.upper.robust | srmr |
|---|---|---|---|---|---|---|---|---|---|
| config | 1918.015 | 118 | 0 | 0.976 | 0.962 | 0.047 | 0.045 | 0.049 | 0.042 |
| weak | 2358.146 | 130 | 0 | 0.970 | 0.957 | 0.050 | 0.048 | 0.052 | 0.050 |
| strong | 4058.184 | 142 | 0 | 0.950 | 0.933 | 0.062 | 0.060 | 0.064 | 0.079 |
| LGCM | 5593.511 | 146 | 0 | 0.924 | 0.901 | 0.075 | 0.073 | 0.077 | 0.084 |
pc factor
Configural invariance model
model fit
pc.7t.config.invar <- "#factor loadings (with constraints)
p_etaB =~ lambda_X0*anxdep_comp_0+
lambda_W0*withdep_comp_0+
lambda_S0*soma_comp_0+
lambda_C0*socprob_comp_0+
lambda_H0*thouprob_comp_0+
lambda_A0*attprob_comp_0+
lambda_R0*rulebreak_comp_0+
lambda_G0*aggress_comp_0
p_eta1 =~ lambda_X1*anxdep_comp_1+
lambda_W1*withdep_comp_1+
lambda_S1*soma_comp_1+
lambda_C1*socprob_comp_1+
lambda_H1*thouprob_comp_1+
lambda_A1*attprob_comp_1+
lambda_R1*rulebreak_comp_1+
lambda_G1*aggress_comp_1
p_eta2 =~ lambda_X2*anxdep_comp_2+
lambda_W2*withdep_comp_2+
lambda_S2*soma_comp_2+
lambda_C2*socprob_comp_2+
lambda_H2*thouprob_comp_2+
lambda_A2*attprob_comp_2+
lambda_R2*rulebreak_comp_2+
lambda_G2*aggress_comp_2
p_eta3 =~ lambda_X3*anxdep_comp_3+
lambda_W3*withdep_comp_3+
lambda_S3*soma_comp_3+
lambda_C3*socprob_comp_3+
lambda_H3*thouprob_comp_3+
lambda_A3*attprob_comp_3+
lambda_R3*rulebreak_comp_3+
lambda_G3*aggress_comp_3
p_eta4 =~ lambda_X4*anxdep_comp_4+
lambda_W4*withdep_comp_4+
lambda_S4*soma_comp_4+
lambda_C4*socprob_comp_4+
lambda_H4*thouprob_comp_4+
lambda_A4*attprob_comp_4+
lambda_R4*rulebreak_comp_4+
lambda_G4*aggress_comp_4
p_eta5 =~ lambda_X5*anxdep_comp_5+
lambda_W5*withdep_comp_5+
lambda_S5*soma_comp_5+
lambda_C5*socprob_comp_5+
lambda_H5*thouprob_comp_5+
lambda_A5*attprob_comp_5+
lambda_R5*rulebreak_comp_5+
lambda_G5*aggress_comp_5
p_eta6 =~ lambda_X6*anxdep_comp_6+
lambda_W6*withdep_comp_6+
lambda_S6*soma_comp_6+
lambda_C6*socprob_comp_6+
lambda_H6*thouprob_comp_6+
lambda_A6*attprob_comp_6+
lambda_R6*rulebreak_comp_6+
lambda_G6*aggress_comp_6
#latent variable variances
p_etaB~~1*p_etaB
p_eta1~~1*p_eta1
p_eta2~~1*p_eta2
p_eta3~~1*p_eta3
p_eta4~~1*p_eta4
p_eta5~~1*p_eta5
p_eta6~~1*p_eta6
#latent variable covariances
p_etaB~~p_eta1 + p_eta2 + p_eta3 + p_eta4 + p_eta5 + p_eta6
p_eta1~~p_eta2 + p_eta3 + p_eta4 + p_eta5 + p_eta6
p_eta2~~p_eta3 + p_eta4 + p_eta5 + p_eta6
p_eta3~~p_eta4 + p_eta5 + p_eta6
p_eta4~~p_eta5 + p_eta6
p_eta5~~p_eta6
#unique variances # No need to constrict these
anxdep_comp_0~~anxdep_comp_0
withdep_comp_0~~withdep_comp_0
soma_comp_0~~soma_comp_0
socprob_comp_0~~socprob_comp_0
thouprob_comp_0~~thouprob_comp_0
attprob_comp_0~~attprob_comp_0
rulebreak_comp_0~~rulebreak_comp_0
aggress_comp_0~~aggress_comp_0
anxdep_comp_1~~anxdep_comp_1
withdep_comp_1~~withdep_comp_1
soma_comp_1~~soma_comp_1
socprob_comp_1~~socprob_comp_1
thouprob_comp_1~~thouprob_comp_1
attprob_comp_1~~attprob_comp_1
rulebreak_comp_1~~rulebreak_comp_1
aggress_comp_1~~aggress_comp_1
anxdep_comp_2~~anxdep_comp_2
withdep_comp_2~~withdep_comp_2
soma_comp_2~~soma_comp_2
socprob_comp_2~~socprob_comp_2
thouprob_comp_2~~thouprob_comp_2
attprob_comp_2~~attprob_comp_2
rulebreak_comp_2~~rulebreak_comp_2
aggress_comp_2~~aggress_comp_2
anxdep_comp_3~~anxdep_comp_3
withdep_comp_3~~withdep_comp_3
soma_comp_3~~soma_comp_3
socprob_comp_3~~socprob_comp_3
thouprob_comp_3~~thouprob_comp_3
attprob_comp_3~~attprob_comp_3
rulebreak_comp_3~~rulebreak_comp_3
aggress_comp_3~~aggress_comp_3
anxdep_comp_4~~anxdep_comp_4
withdep_comp_4~~withdep_comp_4
soma_comp_4~~soma_comp_4
socprob_comp_4~~socprob_comp_4
thouprob_comp_4~~thouprob_comp_4
attprob_comp_4~~attprob_comp_4
rulebreak_comp_4~~rulebreak_comp_4
aggress_comp_4~~aggress_comp_4
anxdep_comp_5~~anxdep_comp_5
withdep_comp_5~~withdep_comp_5
soma_comp_5~~soma_comp_5
socprob_comp_5~~socprob_comp_5
thouprob_comp_5~~thouprob_comp_5
attprob_comp_5~~attprob_comp_5
rulebreak_comp_5~~rulebreak_comp_5
aggress_comp_5~~aggress_comp_5
anxdep_comp_6~~anxdep_comp_6
withdep_comp_6~~withdep_comp_6
soma_comp_6~~soma_comp_6
socprob_comp_6~~socprob_comp_6
thouprob_comp_6~~thouprob_comp_6
attprob_comp_6~~attprob_comp_6
rulebreak_comp_6~~rulebreak_comp_6
aggress_comp_6~~aggress_comp_6
#unique covariances
# Scores arcoss times
anxdep_comp_0~~anxdep_comp_1 + anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_1~~anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_2~~anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_3~~anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_4~~anxdep_comp_5+ anxdep_comp_6
anxdep_comp_5~~anxdep_comp_6
withdep_comp_0~~withdep_comp_1 + withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_1~~withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_2~~withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_3~~withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_4~~withdep_comp_5 + withdep_comp_6
withdep_comp_5~~withdep_comp_6
soma_comp_0~~soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_1~~soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_2~~soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_3~~soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_4~~soma_comp_5 + soma_comp_6
soma_comp_5~~soma_comp_6
socprob_comp_0~~socprob_comp_1 + socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_1~~socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_2~~socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_3~~socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_4~~socprob_comp_5 + socprob_comp_6
socprob_comp_5~~socprob_comp_6
thouprob_comp_0~~thouprob_comp_1 + thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_1~~thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_2~~thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_3~~thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_4~~thouprob_comp_5 + thouprob_comp_6
thouprob_comp_5~~thouprob_comp_6
attprob_comp_0~~attprob_comp_1 + attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_1~~attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_2~~attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_3~~attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_4~~attprob_comp_5 + attprob_comp_6
attprob_comp_5~~attprob_comp_6
rulebreak_comp_0~~rulebreak_comp_1 + rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_1~~rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_2~~rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_3~~rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_4~~rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_5~~rulebreak_comp_6
aggress_comp_0~~aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_1~~aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_2~~aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_3~~aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_4~~aggress_comp_5 + aggress_comp_6
aggress_comp_5~~aggress_comp_6
# Internalizeing subscale covariances
anxdep_comp_0~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_1~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_2~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_3~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_4~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_5~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_6~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
withdep_comp_0~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_1~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_2~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_3~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_4~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_5~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_6~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
# Externalizeing subscale covariances
rulebreak_comp_0~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_1~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_2~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_3~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_4~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_5~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_6~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
#latent variable intercepts
p_etaB~0*1
p_eta1~0*1
p_eta2~0*1
p_eta3~0*1
p_eta4~0*1
#observed variable intercepts
anxdep_comp_0~tau_X0*1
anxdep_comp_1~tau_X1*1
anxdep_comp_2~tau_X2*1
anxdep_comp_3~tau_X3*1
anxdep_comp_4~tau_X4*1
anxdep_comp_5~tau_X5*1
anxdep_comp_6~tau_X6*1
withdep_comp_0~tau_W0*1
withdep_comp_1~tau_W1*1
withdep_comp_2~tau_W2*1
withdep_comp_3~tau_W3*1
withdep_comp_4~tau_W4*1
withdep_comp_5~tau_W5*1
withdep_comp_6~tau_W6*1
soma_comp_0~tau_S0*1
soma_comp_1~tau_S1*1
soma_comp_2~tau_S2*1
soma_comp_3~tau_S3*1
soma_comp_4~tau_S4*1
soma_comp_5~tau_S5*1
soma_comp_6~tau_S6*1
socprob_comp_0~tau_P0*1
socprob_comp_1~tau_P1*1
socprob_comp_2~tau_P2*1
socprob_comp_3~tau_P3*1
socprob_comp_4~tau_P4*1
socprob_comp_5~tau_P5*1
socprob_comp_6~tau_P6*1
thouprob_comp_0~tau_H0*1
thouprob_comp_1~tau_H1*1
thouprob_comp_2~tau_H2*1
thouprob_comp_3~tau_H3*1
thouprob_comp_4~tau_H4*1
thouprob_comp_5~tau_H5*1
thouprob_comp_6~tau_H6*1
attprob_comp_0~tau_A0*1
attprob_comp_1~tau_A1*1
attprob_comp_2~tau_A2*1
attprob_comp_3~tau_A3*1
attprob_comp_4~tau_A4*1
attprob_comp_5~tau_A5*1
attprob_comp_6~tau_A6*1
rulebreak_comp_0~tau_R0*1
rulebreak_comp_1~tau_R1*1
rulebreak_comp_2~tau_R2*1
rulebreak_comp_3~tau_R3*1
rulebreak_comp_4~tau_R4*1
rulebreak_comp_5~tau_R5*1
rulebreak_comp_6~tau_R6*1
aggress_comp_0~tau_G0*1
aggress_comp_1~tau_G1*1
aggress_comp_2~tau_G2*1
aggress_comp_3~tau_G3*1
aggress_comp_4~tau_G4*1
aggress_comp_5~tau_G5*1
aggress_comp_6~tau_G6*1"
lavaan(pc.7t.config.invar,
data = pc_factor_nolow_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("pc_7t_config.rds")result
readRDS("pc_7t_config.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pc_7t_config_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pc_7t_config.rds"), "cor.lv"))$value[1] 5.2483568 0.6407817 0.3197110 0.2363761 0.2017612 0.1883355 0.1646777
readRDS("pc_7t_config_result.rds")lavaan 0.6-19 ended normally after 200 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 553
Used Total
Number of observations 11865 11867
Number of missing patterns 82
Model Test User Model:
Test statistic 7935.205
Degrees of freedom 1099
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 512564.005
Degrees of freedom 1540
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.987
Tucker-Lewis Index (TLI) 0.981
Robust Comparative Fit Index (CFI) 0.987
Robust Tucker-Lewis Index (TLI) 0.982
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -506267.028
Loglikelihood unrestricted model (H1) -502299.426
Akaike (AIC) 1013640.056
Bayesian (BIC) 1017721.941
Sample-size adjusted Bayesian (SABIC) 1015964.571
Root Mean Square Error of Approximation:
RMSEA 0.023
90 Percent confidence interval - lower 0.022
90 Percent confidence interval - upper 0.023
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.026
90 Percent confidence interval - lower 0.025
90 Percent confidence interval - upper 0.026
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.046
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_etaB =~
anxd__0 (l_X0) 0.748 0.008 96.202 0.000 0.748 0.724
wthd__0 (l_W0) 0.560 0.007 84.503 0.000 0.560 0.667
sm_cm_0 (l_S0) 0.514 0.008 63.562 0.000 0.514 0.523
scpr__0 (l_C0) 0.911 0.008 110.031 0.000 0.911 0.826
thpr__0 (l_H0) 0.808 0.008 101.992 0.000 0.808 0.782
attp__0 (l_A0) 0.737 0.007 99.836 0.000 0.737 0.737
rlbr__0 (l_R0) 0.647 0.008 85.034 0.000 0.647 0.653
aggr__0 (l_G0) 0.865 0.008 109.307 0.000 0.865 0.791
p_eta1 =~
anxd__1 (l_X1) 0.743 0.008 94.058 0.000 0.743 0.716
wthd__1 (l_W1) 0.583 0.007 84.296 0.000 0.583 0.663
sm_cm_1 (l_S1) 0.512 0.008 62.573 0.000 0.512 0.520
scpr__1 (l_C1) 0.868 0.008 106.856 0.000 0.868 0.819
thpr__1 (l_H1) 0.831 0.008 102.437 0.000 0.831 0.791
attp__1 (l_A1) 0.719 0.007 98.533 0.000 0.719 0.731
rlbr__1 (l_R1) 0.626 0.008 83.051 0.000 0.626 0.642
aggr__1 (l_G1) 0.825 0.008 106.565 0.000 0.825 0.783
p_eta2 =~
anxd__2 (l_X2) 0.715 0.008 93.230 0.000 0.715 0.711
wthd__2 (l_W2) 0.657 0.008 84.906 0.000 0.657 0.670
sm_cm_2 (l_S2) 0.505 0.008 63.822 0.000 0.505 0.532
scpr__2 (l_C2) 0.824 0.008 105.303 0.000 0.824 0.815
thpr__2 (l_H2) 0.786 0.008 100.478 0.000 0.786 0.790
attp__2 (l_A2) 0.707 0.007 98.797 0.000 0.707 0.737
rlbr__2 (l_R2) 0.647 0.008 84.754 0.000 0.647 0.659
aggr__2 (l_G2) 0.794 0.008 105.019 0.000 0.794 0.777
p_eta3 =~
anxd__3 (l_X3) 0.740 0.008 90.849 0.000 0.740 0.714
wthd__3 (l_W3) 0.724 0.009 82.782 0.000 0.724 0.669
sm_cm_3 (l_S3) 0.547 0.008 65.729 0.000 0.547 0.562
scpr__3 (l_C3) 0.779 0.008 100.939 0.000 0.779 0.806
thpr__3 (l_H3) 0.788 0.008 99.229 0.000 0.788 0.803
attp__3 (l_A3) 0.727 0.007 98.228 0.000 0.727 0.751
rlbr__3 (l_R3) 0.664 0.008 83.489 0.000 0.664 0.665
aggr__3 (l_G3) 0.790 0.008 102.355 0.000 0.790 0.780
p_eta4 =~
anxd__4 (l_X4) 0.744 0.008 90.274 0.000 0.744 0.727
wthd__4 (l_W4) 0.808 0.010 83.734 0.000 0.808 0.693
sm_cm_4 (l_S4) 0.579 0.009 63.964 0.000 0.579 0.563
scpr__4 (l_C4) 0.747 0.008 96.558 0.000 0.747 0.798
thpr__4 (l_H4) 0.789 0.008 98.500 0.000 0.789 0.814
attp__4 (l_A4) 0.738 0.008 98.231 0.000 0.738 0.774
rlbr__4 (l_R4) 0.688 0.009 79.963 0.000 0.688 0.656
aggr__4 (l_G4) 0.733 0.007 98.617 0.000 0.733 0.774
p_eta5 =~
anxd__5 (l_X5) 0.774 0.009 87.616 0.000 0.774 0.736
wthd__5 (l_W5) 0.859 0.010 83.463 0.000 0.859 0.714
sm_cm_5 (l_S5) 0.665 0.010 64.777 0.000 0.665 0.592
scpr__5 (l_C5) 0.746 0.008 93.285 0.000 0.746 0.800
thpr__5 (l_H5) 0.852 0.009 96.383 0.000 0.852 0.824
attp__5 (l_A5) 0.731 0.008 93.455 0.000 0.731 0.762
rlbr__5 (l_R5) 0.716 0.010 74.977 0.000 0.716 0.640
aggr__5 (l_G5) 0.736 0.008 94.793 0.000 0.736 0.773
p_eta6 =~
anxd__6 (l_X6) 0.683 0.011 64.448 0.000 0.683 0.705
wthd__6 (l_W6) 0.823 0.013 64.535 0.000 0.823 0.711
sm_cm_6 (l_S6) 0.660 0.013 50.431 0.000 0.660 0.590
scpr__6 (l_C6) 0.670 0.009 72.886 0.000 0.670 0.792
thpr__6 (l_H6) 0.722 0.010 72.054 0.000 0.722 0.803
attp__6 (l_A6) 0.698 0.010 73.298 0.000 0.698 0.764
rlbr__6 (l_R6) 0.652 0.011 58.221 0.000 0.652 0.630
aggr__6 (l_G6) 0.641 0.009 73.508 0.000 0.641 0.759
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_etaB ~~
p_eta1 0.786 0.004 185.885 0.000 0.786 0.786
p_eta2 0.716 0.005 132.863 0.000 0.716 0.716
p_eta3 0.670 0.006 107.664 0.000 0.670 0.670
p_eta4 0.628 0.007 90.266 0.000 0.628 0.628
p_eta5 0.602 0.008 80.315 0.000 0.602 0.602
p_eta6 0.570 0.009 60.054 0.000 0.570 0.570
p_eta1 ~~
p_eta2 0.772 0.005 168.924 0.000 0.772 0.772
p_eta3 0.729 0.005 135.075 0.000 0.729 0.729
p_eta4 0.680 0.006 108.078 0.000 0.680 0.680
p_eta5 0.655 0.007 95.907 0.000 0.655 0.655
p_eta6 0.615 0.009 68.261 0.000 0.615 0.615
p_eta2 ~~
p_eta3 0.788 0.004 176.664 0.000 0.788 0.788
p_eta4 0.716 0.006 124.612 0.000 0.716 0.716
p_eta5 0.685 0.006 106.410 0.000 0.685 0.685
p_eta6 0.648 0.008 76.861 0.000 0.648 0.648
p_eta3 ~~
p_eta4 0.782 0.005 165.743 0.000 0.782 0.782
p_eta5 0.745 0.006 133.574 0.000 0.745 0.745
p_eta6 0.698 0.008 90.920 0.000 0.698 0.698
p_eta4 ~~
p_eta5 0.806 0.004 181.169 0.000 0.806 0.806
p_eta6 0.746 0.007 109.064 0.000 0.746 0.746
p_eta5 ~~
p_eta6 0.818 0.005 151.986 0.000 0.818 0.818
.anxdep_comp_0 ~~
.anxdep_comp_1 0.311 0.006 48.489 0.000 0.311 0.603
.anxdep_comp_2 0.275 0.006 44.590 0.000 0.275 0.544
.anxdep_comp_3 0.249 0.006 39.681 0.000 0.249 0.481
.anxdep_comp_4 0.221 0.006 36.136 0.000 0.221 0.442
.anxdep_comp_5 0.202 0.006 31.874 0.000 0.202 0.399
.anxdep_comp_6 0.183 0.007 25.319 0.000 0.183 0.374
.anxdep_comp_1 ~~
.anxdep_comp_2 0.304 0.006 47.222 0.000 0.304 0.593
.anxdep_comp_3 0.271 0.006 41.843 0.000 0.271 0.517
.anxdep_comp_4 0.231 0.006 36.792 0.000 0.231 0.455
.anxdep_comp_5 0.222 0.007 34.032 0.000 0.222 0.431
.anxdep_comp_6 0.196 0.007 26.343 0.000 0.196 0.394
.anxdep_comp_2 ~~
.anxdep_comp_3 0.318 0.007 47.885 0.000 0.318 0.618
.anxdep_comp_4 0.272 0.006 42.767 0.000 0.272 0.546
.anxdep_comp_5 0.252 0.006 38.723 0.000 0.252 0.499
.anxdep_comp_6 0.223 0.007 30.573 0.000 0.223 0.458
.anxdep_comp_3 ~~
.anxdep_comp_4 0.305 0.007 45.261 0.000 0.305 0.599
.anxdep_comp_5 0.283 0.007 41.115 0.000 0.283 0.549
.anxdep_comp_6 0.246 0.007 32.905 0.000 0.246 0.495
.anxdep_comp_4 ~~
.anxdep_comp_5 0.327 0.007 46.276 0.000 0.327 0.654
.anxdep_comp_6 0.272 0.008 35.941 0.000 0.272 0.565
.anxdep_comp_5 ~~
.anxdep_comp_6 0.306 0.008 38.565 0.000 0.306 0.626
.withdep_comp_0 ~~
.withdep_comp_1 0.227 0.005 46.634 0.000 0.227 0.549
.withdep_comp_2 0.208 0.005 39.638 0.000 0.208 0.457
.withdep_comp_3 0.193 0.006 33.379 0.000 0.193 0.384
.withdep_comp_4 0.178 0.006 28.817 0.000 0.178 0.339
.withdep_comp_5 0.174 0.006 27.165 0.000 0.174 0.331
.withdep_comp_6 0.149 0.008 19.865 0.000 0.149 0.293
.withdep_comp_1 ~~
.withdep_comp_2 0.264 0.006 45.765 0.000 0.264 0.551
.withdep_comp_3 0.254 0.006 40.421 0.000 0.254 0.480
.withdep_comp_4 0.234 0.007 35.181 0.000 0.234 0.421
.withdep_comp_5 0.221 0.007 32.322 0.000 0.221 0.398
.withdep_comp_6 0.185 0.008 23.630 0.000 0.185 0.346
.withdep_comp_2 ~~
.withdep_comp_3 0.332 0.007 45.858 0.000 0.332 0.568
.withdep_comp_4 0.305 0.008 40.279 0.000 0.305 0.498
.withdep_comp_5 0.277 0.008 35.812 0.000 0.277 0.452
.withdep_comp_6 0.239 0.009 26.289 0.000 0.239 0.404
.withdep_comp_3 ~~
.withdep_comp_4 0.393 0.009 45.121 0.000 0.393 0.581
.withdep_comp_5 0.360 0.009 40.810 0.000 0.360 0.532
.withdep_comp_6 0.304 0.010 30.644 0.000 0.304 0.466
.withdep_comp_4 ~~
.withdep_comp_5 0.437 0.010 44.978 0.000 0.437 0.617
.withdep_comp_6 0.373 0.011 34.712 0.000 0.373 0.545
.withdep_comp_5 ~~
.withdep_comp_6 0.421 0.011 37.788 0.000 0.421 0.616
.soma_comp_0 ~~
.soma_comp_1 0.359 0.008 46.326 0.000 0.359 0.511
.soma_comp_2 0.305 0.007 41.193 0.000 0.305 0.452
.soma_comp_3 0.270 0.007 36.388 0.000 0.270 0.400
.soma_comp_4 0.256 0.008 32.232 0.000 0.256 0.360
.soma_comp_5 0.253 0.009 28.801 0.000 0.253 0.333
.soma_comp_6 0.247 0.010 23.550 0.000 0.247 0.326
.soma_comp_1 ~~
.soma_comp_2 0.340 0.008 44.653 0.000 0.340 0.503
.soma_comp_3 0.295 0.008 38.912 0.000 0.295 0.437
.soma_comp_4 0.280 0.008 34.766 0.000 0.280 0.393
.soma_comp_5 0.283 0.009 31.696 0.000 0.283 0.371
.soma_comp_6 0.259 0.011 24.331 0.000 0.259 0.340
.soma_comp_2 ~~
.soma_comp_3 0.329 0.007 43.889 0.000 0.329 0.508
.soma_comp_4 0.309 0.008 38.795 0.000 0.309 0.451
.soma_comp_5 0.301 0.009 34.864 0.000 0.301 0.413
.soma_comp_6 0.276 0.010 27.340 0.000 0.276 0.379
.soma_comp_3 ~~
.soma_comp_4 0.341 0.008 41.343 0.000 0.341 0.498
.soma_comp_5 0.326 0.009 36.527 0.000 0.326 0.447
.soma_comp_6 0.309 0.010 30.005 0.000 0.309 0.425
.soma_comp_4 ~~
.soma_comp_5 0.423 0.010 42.804 0.000 0.423 0.549
.soma_comp_6 0.392 0.012 33.981 0.000 0.392 0.509
.soma_comp_5 ~~
.soma_comp_6 0.475 0.013 37.645 0.000 0.475 0.579
.socprob_comp_0 ~~
.socprob_comp_1 0.175 0.005 33.460 0.000 0.175 0.464
.socprob_comp_2 0.151 0.005 30.393 0.000 0.151 0.414
.socprob_comp_3 0.127 0.005 26.614 0.000 0.127 0.358
.socprob_comp_4 0.109 0.005 23.111 0.000 0.109 0.311
.socprob_comp_5 0.102 0.005 21.263 0.000 0.102 0.292
.socprob_comp_6 0.084 0.005 15.787 0.000 0.084 0.261
.socprob_comp_1 ~~
.socprob_comp_2 0.167 0.005 33.529 0.000 0.167 0.469
.socprob_comp_3 0.141 0.005 29.569 0.000 0.141 0.406
.socprob_comp_4 0.118 0.005 25.179 0.000 0.118 0.343
.socprob_comp_5 0.106 0.005 22.458 0.000 0.106 0.310
.socprob_comp_6 0.095 0.005 18.310 0.000 0.095 0.304
.socprob_comp_2 ~~
.socprob_comp_3 0.161 0.005 33.938 0.000 0.161 0.482
.socprob_comp_4 0.143 0.005 30.864 0.000 0.143 0.432
.socprob_comp_5 0.123 0.005 26.493 0.000 0.123 0.374
.socprob_comp_6 0.110 0.005 21.883 0.000 0.110 0.362
.socprob_comp_3 ~~
.socprob_comp_4 0.152 0.005 33.104 0.000 0.152 0.470
.socprob_comp_5 0.137 0.005 29.613 0.000 0.137 0.427
.socprob_comp_6 0.117 0.005 23.760 0.000 0.117 0.396
.socprob_comp_4 ~~
.socprob_comp_5 0.166 0.005 35.062 0.000 0.166 0.524
.socprob_comp_6 0.140 0.005 27.683 0.000 0.140 0.481
.socprob_comp_5 ~~
.socprob_comp_6 0.160 0.005 30.636 0.000 0.160 0.552
.thouprob_comp_0 ~~
.thouprob_cmp_1 0.199 0.005 37.088 0.000 0.199 0.482
.thouprob_cmp_2 0.160 0.005 31.962 0.000 0.160 0.408
.thouprob_cmp_3 0.133 0.005 27.504 0.000 0.133 0.354
.thouprob_cmp_4 0.113 0.005 23.697 0.000 0.113 0.313
.thouprob_cmp_5 0.106 0.005 20.649 0.000 0.106 0.280
.thouprob_cmp_6 0.078 0.006 13.658 0.000 0.078 0.227
.thouprob_comp_1 ~~
.thouprob_cmp_2 0.187 0.005 35.732 0.000 0.187 0.477
.thouprob_cmp_3 0.151 0.005 30.110 0.000 0.151 0.402
.thouprob_cmp_4 0.129 0.005 26.212 0.000 0.129 0.356
.thouprob_cmp_5 0.128 0.005 24.508 0.000 0.128 0.340
.thouprob_cmp_6 0.095 0.006 16.429 0.000 0.095 0.275
.thouprob_comp_2 ~~
.thouprob_cmp_3 0.158 0.005 32.349 0.000 0.158 0.443
.thouprob_cmp_4 0.130 0.005 27.517 0.000 0.130 0.378
.thouprob_cmp_5 0.125 0.005 24.788 0.000 0.125 0.349
.thouprob_cmp_6 0.086 0.005 15.731 0.000 0.086 0.265
.thouprob_comp_3 ~~
.thouprob_cmp_4 0.135 0.005 28.791 0.000 0.135 0.409
.thouprob_cmp_5 0.123 0.005 24.605 0.000 0.123 0.358
.thouprob_cmp_6 0.086 0.005 16.167 0.000 0.086 0.276
.thouprob_comp_4 ~~
.thouprob_cmp_5 0.157 0.005 30.953 0.000 0.157 0.475
.thouprob_cmp_6 0.117 0.005 21.751 0.000 0.117 0.388
.thouprob_comp_5 ~~
.thouprob_cmp_6 0.150 0.006 25.594 0.000 0.150 0.479
.attprob_comp_0 ~~
.attprob_comp_1 0.306 0.006 51.499 0.000 0.306 0.674
.attprob_comp_2 0.271 0.006 48.009 0.000 0.271 0.616
.attprob_comp_3 0.248 0.006 44.789 0.000 0.248 0.573
.attprob_comp_4 0.213 0.005 40.299 0.000 0.213 0.521
.attprob_comp_5 0.213 0.005 38.858 0.000 0.213 0.508
.attprob_comp_6 0.185 0.006 30.583 0.000 0.185 0.465
.attprob_comp_1 ~~
.attprob_comp_2 0.292 0.006 50.575 0.000 0.292 0.670
.attprob_comp_3 0.265 0.006 47.028 0.000 0.265 0.618
.attprob_comp_4 0.223 0.005 41.829 0.000 0.223 0.550
.attprob_comp_5 0.225 0.006 40.909 0.000 0.225 0.540
.attprob_comp_6 0.197 0.006 32.516 0.000 0.197 0.498
.attprob_comp_2 ~~
.attprob_comp_3 0.275 0.006 49.005 0.000 0.275 0.663
.attprob_comp_4 0.233 0.005 44.124 0.000 0.233 0.594
.attprob_comp_5 0.236 0.005 43.141 0.000 0.236 0.585
.attprob_comp_6 0.204 0.006 34.497 0.000 0.204 0.533
.attprob_comp_3 ~~
.attprob_comp_4 0.248 0.005 45.970 0.000 0.248 0.642
.attprob_comp_5 0.242 0.006 43.914 0.000 0.242 0.611
.attprob_comp_6 0.208 0.006 35.408 0.000 0.208 0.553
.attprob_comp_4 ~~
.attprob_comp_5 0.252 0.005 45.854 0.000 0.252 0.673
.attprob_comp_6 0.218 0.006 37.305 0.000 0.218 0.612
.attprob_comp_5 ~~
.attprob_comp_6 0.249 0.006 40.243 0.000 0.249 0.681
.rulebreak_comp_0 ~~
.rulebrek_cmp_1 0.341 0.007 50.513 0.000 0.341 0.609
.rulebrek_cmp_2 0.298 0.007 45.068 0.000 0.298 0.537
.rulebrek_cmp_3 0.275 0.007 40.888 0.000 0.275 0.493
.rulebrek_cmp_4 0.265 0.007 36.912 0.000 0.265 0.446
.rulebrek_cmp_5 0.284 0.008 36.027 0.000 0.284 0.441
.rulebrek_cmp_6 0.234 0.009 27.242 0.000 0.234 0.388
.rulebreak_comp_1 ~~
.rulebrek_cmp_2 0.323 0.007 47.825 0.000 0.323 0.585
.rulebrek_cmp_3 0.301 0.007 44.002 0.000 0.301 0.542
.rulebrek_cmp_4 0.300 0.007 41.117 0.000 0.300 0.508
.rulebrek_cmp_5 0.293 0.008 36.923 0.000 0.293 0.456
.rulebrek_cmp_6 0.256 0.009 29.398 0.000 0.256 0.426
.rulebreak_comp_2 ~~
.rulebrek_cmp_3 0.331 0.007 46.888 0.000 0.331 0.601
.rulebrek_cmp_4 0.309 0.007 41.899 0.000 0.309 0.529
.rulebrek_cmp_5 0.329 0.008 40.681 0.000 0.329 0.517
.rulebrek_cmp_6 0.281 0.009 32.276 0.000 0.281 0.473
.rulebreak_comp_3 ~~
.rulebrek_cmp_4 0.344 0.008 44.664 0.000 0.344 0.583
.rulebrek_cmp_5 0.348 0.008 41.639 0.000 0.348 0.544
.rulebrek_cmp_6 0.310 0.009 35.488 0.000 0.310 0.518
.rulebreak_comp_4 ~~
.rulebrek_cmp_5 0.430 0.009 46.458 0.000 0.430 0.633
.rulebrek_cmp_6 0.383 0.010 39.313 0.000 0.383 0.602
.rulebreak_comp_5 ~~
.rulebrek_cmp_6 0.477 0.011 43.542 0.000 0.477 0.690
.aggress_comp_0 ~~
.aggress_comp_1 0.288 0.006 48.632 0.000 0.288 0.658
.aggress_comp_2 0.260 0.006 45.573 0.000 0.260 0.606
.aggress_comp_3 0.223 0.006 40.276 0.000 0.223 0.529
.aggress_comp_4 0.201 0.005 38.296 0.000 0.201 0.503
.aggress_comp_5 0.195 0.005 36.224 0.000 0.195 0.484
.aggress_comp_6 0.162 0.006 28.736 0.000 0.162 0.440
.aggress_comp_1 ~~
.aggress_comp_2 0.270 0.006 47.159 0.000 0.270 0.641
.aggress_comp_3 0.241 0.006 43.173 0.000 0.241 0.579
.aggress_comp_4 0.209 0.005 39.990 0.000 0.209 0.532
.aggress_comp_5 0.196 0.005 36.847 0.000 0.196 0.495
.aggress_comp_6 0.162 0.006 28.971 0.000 0.162 0.449
.aggress_comp_2 ~~
.aggress_comp_3 0.262 0.006 46.359 0.000 0.262 0.646
.aggress_comp_4 0.221 0.005 42.096 0.000 0.221 0.573
.aggress_comp_5 0.215 0.005 40.210 0.000 0.215 0.554
.aggress_comp_6 0.185 0.006 33.321 0.000 0.185 0.523
.aggress_comp_3 ~~
.aggress_comp_4 0.241 0.005 44.759 0.000 0.241 0.635
.aggress_comp_5 0.224 0.005 41.364 0.000 0.224 0.587
.aggress_comp_6 0.195 0.006 35.319 0.000 0.195 0.560
.aggress_comp_4 ~~
.aggress_comp_5 0.241 0.005 45.151 0.000 0.241 0.666
.aggress_comp_6 0.202 0.005 37.588 0.000 0.202 0.614
.aggress_comp_5 ~~
.aggress_comp_6 0.226 0.006 40.032 0.000 0.226 0.680
.anxdep_comp_0 ~~
.withdep_comp_0 0.102 0.005 20.938 0.000 0.102 0.228
.soma_comp_0 0.119 0.006 19.011 0.000 0.119 0.199
.withdep_comp_1 0.082 0.005 16.202 0.000 0.082 0.174
.soma_comp_1 0.079 0.006 12.728 0.000 0.079 0.132
.withdep_comp_2 0.083 0.006 14.692 0.000 0.083 0.160
.soma_comp_2 0.074 0.006 12.277 0.000 0.074 0.129
.withdep_comp_3 0.094 0.006 14.872 0.000 0.094 0.165
.soma_comp_3 0.074 0.006 11.922 0.000 0.074 0.129
.withdep_comp_4 0.076 0.007 11.232 0.000 0.076 0.127
.soma_comp_4 0.081 0.007 12.045 0.000 0.081 0.133
.withdep_comp_5 0.071 0.007 9.951 0.000 0.071 0.118
.soma_comp_5 0.059 0.007 7.931 0.000 0.059 0.091
.withdep_comp_6 0.059 0.008 7.033 0.000 0.059 0.102
.soma_comp_6 0.063 0.009 6.907 0.000 0.063 0.098
.withdep_comp_0 ~~
.anxdep_comp_1 0.070 0.005 14.497 0.000 0.070 0.156
.soma_comp_0 ~~
.anxdep_comp_1 0.094 0.006 14.958 0.000 0.094 0.156
.anxdep_comp_1 ~~
.withdep_comp_1 0.106 0.005 20.113 0.000 0.106 0.223
.soma_comp_1 0.109 0.006 16.878 0.000 0.109 0.179
.withdep_comp_2 0.086 0.006 14.810 0.000 0.086 0.163
.soma_comp_2 0.080 0.006 12.984 0.000 0.080 0.138
.withdep_comp_3 0.101 0.006 15.581 0.000 0.101 0.174
.soma_comp_3 0.075 0.006 11.892 0.000 0.075 0.129
.withdep_comp_4 0.081 0.007 11.682 0.000 0.081 0.133
.soma_comp_4 0.084 0.007 12.304 0.000 0.084 0.137
.withdep_comp_5 0.089 0.007 12.219 0.000 0.089 0.145
.soma_comp_5 0.075 0.008 9.808 0.000 0.075 0.114
.withdep_comp_6 0.069 0.009 8.028 0.000 0.069 0.117
.soma_comp_6 0.061 0.009 6.493 0.000 0.061 0.093
.withdep_comp_0 ~~
.anxdep_comp_2 0.074 0.005 15.337 0.000 0.074 0.166
.soma_comp_0 ~~
.anxdep_comp_2 0.092 0.006 14.760 0.000 0.092 0.156
.withdep_comp_1 ~~
.anxdep_comp_2 0.091 0.005 17.696 0.000 0.091 0.194
.soma_comp_1 ~~
.anxdep_comp_2 0.083 0.006 13.097 0.000 0.083 0.139
.anxdep_comp_2 ~~
.withdep_comp_2 0.141 0.006 23.958 0.000 0.141 0.273
.soma_comp_2 0.115 0.006 18.574 0.000 0.115 0.201
.withdep_comp_3 0.128 0.006 19.960 0.000 0.128 0.226
.soma_comp_3 0.094 0.006 14.982 0.000 0.094 0.164
.withdep_comp_4 0.111 0.007 16.152 0.000 0.111 0.186
.soma_comp_4 0.104 0.007 15.446 0.000 0.104 0.173
.withdep_comp_5 0.097 0.007 13.684 0.000 0.097 0.162
.soma_comp_5 0.085 0.007 11.406 0.000 0.085 0.132
.withdep_comp_6 0.074 0.008 8.916 0.000 0.074 0.128
.soma_comp_6 0.075 0.009 8.354 0.000 0.075 0.118
.withdep_comp_0 ~~
.anxdep_comp_3 0.064 0.005 12.764 0.000 0.064 0.141
.soma_comp_0 ~~
.anxdep_comp_3 0.098 0.007 14.991 0.000 0.098 0.161
.withdep_comp_1 ~~
.anxdep_comp_3 0.080 0.005 15.096 0.000 0.080 0.168
.soma_comp_1 ~~
.anxdep_comp_3 0.088 0.007 13.426 0.000 0.088 0.145
.withdep_comp_2 ~~
.anxdep_comp_3 0.113 0.006 18.849 0.000 0.113 0.213
.soma_comp_2 ~~
.anxdep_comp_3 0.099 0.006 15.605 0.000 0.099 0.170
.anxdep_comp_3 ~~
.withdep_comp_3 0.175 0.007 25.472 0.000 0.175 0.300
.soma_comp_3 0.127 0.007 19.262 0.000 0.127 0.217
.withdep_comp_4 0.130 0.007 18.207 0.000 0.130 0.213
.soma_comp_4 0.130 0.007 18.460 0.000 0.130 0.211
.withdep_comp_5 0.122 0.007 16.424 0.000 0.122 0.200
.soma_comp_5 0.115 0.008 14.725 0.000 0.115 0.174
.withdep_comp_6 0.087 0.008 10.296 0.000 0.087 0.147
.soma_comp_6 0.118 0.009 12.770 0.000 0.118 0.179
.withdep_comp_0 ~~
.anxdep_comp_4 0.050 0.005 9.987 0.000 0.050 0.114
.soma_comp_0 ~~
.anxdep_comp_4 0.079 0.006 12.196 0.000 0.079 0.134
.withdep_comp_1 ~~
.anxdep_comp_4 0.067 0.005 12.703 0.000 0.067 0.145
.soma_comp_1 ~~
.anxdep_comp_4 0.076 0.007 11.767 0.000 0.076 0.130
.withdep_comp_2 ~~
.anxdep_comp_4 0.090 0.006 15.220 0.000 0.090 0.176
.soma_comp_2 ~~
.anxdep_comp_4 0.084 0.006 13.297 0.000 0.084 0.149
.withdep_comp_3 ~~
.anxdep_comp_4 0.123 0.007 18.573 0.000 0.123 0.218
.soma_comp_3 ~~
.anxdep_comp_4 0.099 0.006 15.369 0.000 0.099 0.176
.anxdep_comp_4 ~~
.withdep_comp_4 0.173 0.007 23.821 0.000 0.173 0.293
.soma_comp_4 0.143 0.007 20.414 0.000 0.143 0.240
.withdep_comp_5 0.131 0.007 17.853 0.000 0.131 0.222
.soma_comp_5 0.121 0.008 15.860 0.000 0.121 0.191
.withdep_comp_6 0.101 0.008 12.025 0.000 0.101 0.177
.soma_comp_6 0.121 0.009 13.162 0.000 0.121 0.190
.withdep_comp_0 ~~
.anxdep_comp_5 0.053 0.005 10.017 0.000 0.053 0.118
.soma_comp_0 ~~
.anxdep_comp_5 0.071 0.007 10.379 0.000 0.071 0.119
.withdep_comp_1 ~~
.anxdep_comp_5 0.070 0.006 12.618 0.000 0.070 0.149
.soma_comp_1 ~~
.anxdep_comp_5 0.079 0.007 11.542 0.000 0.079 0.132
.withdep_comp_2 ~~
.anxdep_comp_5 0.093 0.006 15.019 0.000 0.093 0.179
.soma_comp_2 ~~
.anxdep_comp_5 0.089 0.007 13.439 0.000 0.089 0.155
.withdep_comp_3 ~~
.anxdep_comp_5 0.124 0.007 17.901 0.000 0.124 0.217
.soma_comp_3 ~~
.anxdep_comp_5 0.095 0.007 14.012 0.000 0.095 0.165
.withdep_comp_4 ~~
.anxdep_comp_5 0.141 0.007 19.035 0.000 0.141 0.235
.soma_comp_4 ~~
.anxdep_comp_5 0.134 0.007 18.376 0.000 0.134 0.222
.anxdep_comp_5 ~~
.withdep_comp_5 0.181 0.008 23.290 0.000 0.181 0.303
.soma_comp_5 0.146 0.008 18.329 0.000 0.146 0.226
.withdep_comp_6 0.107 0.009 12.406 0.000 0.107 0.185
.soma_comp_6 0.122 0.009 12.944 0.000 0.122 0.189
.withdep_comp_0 ~~
.anxdep_comp_6 0.052 0.006 8.495 0.000 0.052 0.122
.soma_comp_0 ~~
.anxdep_comp_6 0.065 0.008 8.285 0.000 0.065 0.113
.withdep_comp_1 ~~
.anxdep_comp_6 0.068 0.006 10.674 0.000 0.068 0.151
.soma_comp_1 ~~
.anxdep_comp_6 0.069 0.008 8.696 0.000 0.069 0.120
.withdep_comp_2 ~~
.anxdep_comp_6 0.092 0.007 12.533 0.000 0.092 0.185
.soma_comp_2 ~~
.anxdep_comp_6 0.088 0.008 11.709 0.000 0.088 0.159
.withdep_comp_3 ~~
.anxdep_comp_6 0.126 0.008 15.729 0.000 0.126 0.228
.soma_comp_3 ~~
.anxdep_comp_6 0.079 0.008 10.399 0.000 0.079 0.143
.withdep_comp_4 ~~
.anxdep_comp_6 0.143 0.008 16.824 0.000 0.143 0.248
.soma_comp_4 ~~
.anxdep_comp_6 0.111 0.008 13.213 0.000 0.111 0.190
.withdep_comp_5 ~~
.anxdep_comp_6 0.158 0.009 18.236 0.000 0.158 0.274
.soma_comp_5 ~~
.anxdep_comp_6 0.109 0.009 12.198 0.000 0.109 0.176
.anxdep_comp_6 ~~
.withdep_comp_6 0.181 0.009 19.451 0.000 0.181 0.324
.soma_comp_6 0.140 0.010 14.520 0.000 0.140 0.226
.withdep_comp_0 ~~
.soma_comp_0 0.053 0.005 10.113 0.000 0.053 0.102
.soma_comp_1 0.049 0.005 9.170 0.000 0.049 0.094
.soma_comp_2 0.035 0.005 6.709 0.000 0.035 0.069
.soma_comp_3 0.026 0.005 4.854 0.000 0.026 0.052
.soma_comp_4 0.028 0.006 4.760 0.000 0.028 0.052
.soma_comp_5 0.015 0.007 2.294 0.022 0.015 0.026
.soma_comp_6 0.024 0.008 3.021 0.003 0.024 0.043
.soma_comp_0 ~~
.withdep_comp_1 0.033 0.006 5.944 0.000 0.033 0.060
.withdep_comp_1 ~~
.soma_comp_1 0.065 0.006 11.363 0.000 0.065 0.117
.soma_comp_2 0.046 0.006 8.292 0.000 0.046 0.086
.soma_comp_3 0.049 0.006 8.648 0.000 0.049 0.092
.soma_comp_4 0.043 0.006 6.943 0.000 0.043 0.076
.soma_comp_5 0.046 0.007 6.736 0.000 0.046 0.077
.soma_comp_6 0.036 0.008 4.302 0.000 0.036 0.060
.soma_comp_0 ~~
.withdep_comp_2 0.047 0.006 7.517 0.000 0.047 0.078
.soma_comp_1 ~~
.withdep_comp_2 0.062 0.006 9.713 0.000 0.062 0.102
.withdep_comp_2 ~~
.soma_comp_2 0.079 0.006 12.751 0.000 0.079 0.135
.soma_comp_3 0.058 0.006 9.180 0.000 0.058 0.099
.soma_comp_4 0.073 0.007 10.618 0.000 0.073 0.118
.soma_comp_5 0.062 0.008 8.110 0.000 0.062 0.093
.soma_comp_6 0.049 0.010 5.083 0.000 0.049 0.074
.soma_comp_0 ~~
.withdep_comp_3 0.062 0.007 8.697 0.000 0.062 0.092
.soma_comp_1 ~~
.withdep_comp_3 0.056 0.007 7.772 0.000 0.056 0.082
.soma_comp_2 ~~
.withdep_comp_3 0.064 0.007 9.298 0.000 0.064 0.099
.withdep_comp_3 ~~
.soma_comp_3 0.079 0.007 11.222 0.000 0.079 0.122
.soma_comp_4 0.096 0.008 12.532 0.000 0.096 0.141
.soma_comp_5 0.091 0.008 10.697 0.000 0.091 0.124
.soma_comp_6 0.092 0.010 8.969 0.000 0.092 0.127
.soma_comp_0 ~~
.withdep_comp_4 0.054 0.008 6.992 0.000 0.054 0.076
.soma_comp_1 ~~
.withdep_comp_4 0.065 0.008 8.479 0.000 0.065 0.092
.soma_comp_2 ~~
.withdep_comp_4 0.066 0.007 8.869 0.000 0.066 0.098
.soma_comp_3 ~~
.withdep_comp_4 0.079 0.008 10.365 0.000 0.079 0.116
.withdep_comp_4 ~~
.soma_comp_4 0.115 0.008 14.124 0.000 0.115 0.161
.soma_comp_5 0.085 0.009 9.436 0.000 0.085 0.111
.soma_comp_6 0.099 0.011 9.064 0.000 0.099 0.130
.soma_comp_0 ~~
.withdep_comp_5 0.047 0.008 5.851 0.000 0.047 0.066
.soma_comp_1 ~~
.withdep_comp_5 0.057 0.008 7.144 0.000 0.057 0.081
.soma_comp_2 ~~
.withdep_comp_5 0.057 0.008 7.365 0.000 0.057 0.084
.soma_comp_3 ~~
.withdep_comp_5 0.070 0.008 8.896 0.000 0.070 0.104
.soma_comp_4 ~~
.withdep_comp_5 0.098 0.008 11.561 0.000 0.098 0.137
.withdep_comp_5 ~~
.soma_comp_5 0.111 0.009 12.121 0.000 0.111 0.146
.soma_comp_6 0.101 0.011 9.113 0.000 0.101 0.133
.soma_comp_0 ~~
.withdep_comp_6 0.051 0.009 5.485 0.000 0.051 0.075
.soma_comp_1 ~~
.withdep_comp_6 0.039 0.009 4.137 0.000 0.039 0.057
.soma_comp_2 ~~
.withdep_comp_6 0.042 0.009 4.749 0.000 0.042 0.065
.soma_comp_3 ~~
.withdep_comp_6 0.045 0.009 5.031 0.000 0.045 0.069
.soma_comp_4 ~~
.withdep_comp_6 0.063 0.010 6.344 0.000 0.063 0.091
.soma_comp_5 ~~
.withdep_comp_6 0.062 0.011 5.820 0.000 0.062 0.084
.withdep_comp_6 ~~
.soma_comp_6 0.094 0.011 8.280 0.000 0.094 0.127
.rulebreak_comp_0 ~~
.aggress_comp_0 0.240 0.006 38.897 0.000 0.240 0.479
.aggress_comp_1 0.189 0.006 32.787 0.000 0.189 0.385
.aggress_comp_2 0.177 0.006 31.210 0.000 0.177 0.368
.aggress_comp_3 0.154 0.006 27.145 0.000 0.154 0.325
.aggress_comp_4 0.142 0.005 26.120 0.000 0.142 0.317
.aggress_comp_5 0.146 0.006 26.074 0.000 0.146 0.323
.aggress_comp_6 0.120 0.006 19.959 0.000 0.120 0.291
.aggress_comp_0 ~~
.rulebrek_cmp_1 0.199 0.006 33.866 0.000 0.199 0.398
.rulebreak_comp_1 ~~
.aggress_comp_1 0.237 0.006 38.731 0.000 0.237 0.484
.aggress_comp_2 0.186 0.006 32.611 0.000 0.186 0.389
.aggress_comp_3 0.169 0.006 29.542 0.000 0.169 0.357
.aggress_comp_4 0.157 0.005 28.702 0.000 0.157 0.351
.aggress_comp_5 0.149 0.006 26.559 0.000 0.149 0.330
.aggress_comp_6 0.134 0.006 21.955 0.000 0.134 0.325
.aggress_comp_0 ~~
.rulebrek_cmp_2 0.170 0.006 29.242 0.000 0.170 0.343
.aggress_comp_1 ~~
.rulebrek_cmp_2 0.174 0.006 30.224 0.000 0.174 0.359
.rulebreak_comp_2 ~~
.aggress_comp_2 0.235 0.006 38.575 0.000 0.235 0.496
.aggress_comp_3 0.179 0.006 30.896 0.000 0.179 0.383
.aggress_comp_4 0.154 0.006 28.051 0.000 0.154 0.348
.aggress_comp_5 0.156 0.006 27.787 0.000 0.156 0.350
.aggress_comp_6 0.149 0.006 24.536 0.000 0.149 0.366
.aggress_comp_0 ~~
.rulebrek_cmp_3 0.164 0.006 27.571 0.000 0.164 0.329
.aggress_comp_1 ~~
.rulebrek_cmp_3 0.170 0.006 28.865 0.000 0.170 0.347
.aggress_comp_2 ~~
.rulebrek_cmp_3 0.185 0.006 31.451 0.000 0.185 0.387
.rulebreak_comp_3 ~~
.aggress_comp_3 0.238 0.006 37.887 0.000 0.238 0.505
.aggress_comp_4 0.174 0.006 30.867 0.000 0.174 0.391
.aggress_comp_5 0.166 0.006 28.852 0.000 0.166 0.370
.aggress_comp_6 0.160 0.006 26.649 0.000 0.160 0.391
.aggress_comp_0 ~~
.rulebrek_cmp_4 0.170 0.006 26.632 0.000 0.170 0.322
.aggress_comp_1 ~~
.rulebrek_cmp_4 0.178 0.006 28.182 0.000 0.178 0.343
.aggress_comp_2 ~~
.rulebrek_cmp_4 0.179 0.006 28.717 0.000 0.179 0.353
.aggress_comp_3 ~~
.rulebrek_cmp_4 0.194 0.006 30.464 0.000 0.194 0.388
.rulebreak_comp_4 ~~
.aggress_comp_4 0.245 0.006 38.060 0.000 0.245 0.518
.aggress_comp_5 0.206 0.006 32.622 0.000 0.206 0.432
.aggress_comp_6 0.176 0.007 26.729 0.000 0.176 0.405
.aggress_comp_0 ~~
.rulebrek_cmp_5 0.182 0.007 25.707 0.000 0.182 0.317
.aggress_comp_1 ~~
.rulebrek_cmp_5 0.176 0.007 25.337 0.000 0.176 0.313
.aggress_comp_2 ~~
.rulebrek_cmp_5 0.200 0.007 28.823 0.000 0.200 0.362
.aggress_comp_3 ~~
.rulebrek_cmp_5 0.198 0.007 28.276 0.000 0.198 0.364
.aggress_comp_4 ~~
.rulebrek_cmp_5 0.216 0.007 32.042 0.000 0.216 0.419
.rulebreak_comp_5 ~~
.aggress_comp_5 0.290 0.007 39.536 0.000 0.290 0.559
.aggress_comp_6 0.227 0.007 30.879 0.000 0.227 0.479
.aggress_comp_0 ~~
.rulebrek_cmp_6 0.157 0.008 20.358 0.000 0.157 0.292
.aggress_comp_1 ~~
.rulebrek_cmp_6 0.149 0.008 19.497 0.000 0.149 0.282
.aggress_comp_2 ~~
.rulebrek_cmp_6 0.173 0.007 23.107 0.000 0.173 0.336
.aggress_comp_3 ~~
.rulebrek_cmp_6 0.181 0.007 24.280 0.000 0.181 0.355
.aggress_comp_4 ~~
.rulebrek_cmp_6 0.200 0.007 27.661 0.000 0.200 0.415
.aggress_comp_5 ~~
.rulebrek_cmp_6 0.225 0.007 29.999 0.000 0.225 0.463
.rulebreak_comp_6 ~~
.aggress_comp_6 0.249 0.008 32.074 0.000 0.249 0.563
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_etaB 0.000 0.000 0.000
p_eta1 0.000 0.000 0.000
p_eta2 0.000 0.000 0.000
p_eta3 0.000 0.000 0.000
p_eta4 0.000 0.000 0.000
.anxd__0 (t_X0) 0.052 0.009 5.470 0.000 0.052 0.050
.anxd__1 (t_X1) 0.060 0.010 6.205 0.000 0.060 0.058
.anxd__2 (t_X2) -0.015 0.009 -1.590 0.112 -0.015 -0.015
.anxd__3 (t_X3) -0.004 0.010 -0.379 0.705 -0.004 -0.004
.anxd__4 (t_X4) -0.034 0.010 -3.410 0.001 -0.034 -0.033
.anxd__5 (t_X5) 0.004 0.010 0.384 0.701 0.004 0.004
.anxd__6 (t_X6) -0.107 0.011 -9.345 0.000 -0.107 -0.110
.wthd__0 (t_W0) -0.155 0.008 -20.096 0.000 -0.155 -0.185
.wthd__1 (t_W1) -0.112 0.008 -13.706 0.000 -0.112 -0.128
.wthd__2 (t_W2) -0.045 0.009 -4.906 0.000 -0.045 -0.046
.wthd__3 (t_W3) 0.063 0.010 6.062 0.000 0.063 0.058
.wthd__4 (t_W4) 0.123 0.011 10.765 0.000 0.123 0.105
.wthd__5 (t_W5) 0.212 0.012 17.650 0.000 0.212 0.177
.wthd__6 (t_W6) 0.105 0.014 7.626 0.000 0.105 0.090
.sm_cm_0 (t_S0) 0.031 0.009 3.396 0.001 0.031 0.031
.sm_cm_1 (t_S1) 0.012 0.009 1.271 0.204 0.012 0.012
.sm_cm_2 (t_S2) -0.033 0.009 -3.641 0.000 -0.033 -0.034
.sm_cm_3 (t_S3) -0.036 0.009 -3.795 0.000 -0.036 -0.037
.sm_cm_4 (t_S4) -0.012 0.010 -1.233 0.218 -0.012 -0.012
.sm_cm_5 (t_S5) 0.067 0.011 5.855 0.000 0.067 0.059
.sm_cm_6 (t_S6) 0.033 0.014 2.408 0.016 0.033 0.029
.scpr__0 (t_P0) 0.167 0.010 16.528 0.000 0.167 0.152
.scpr__1 (t_P1) 0.113 0.010 11.471 0.000 0.113 0.107
.scpr__2 (t_P2) 0.026 0.009 2.719 0.007 0.026 0.026
.scpr__3 (t_P3) -0.025 0.009 -2.725 0.006 -0.025 -0.026
.scpr__4 (t_P4) -0.087 0.009 -9.565 0.000 -0.087 -0.093
.scpr__5 (t_P5) -0.104 0.009 -11.167 0.000 -0.104 -0.112
.scpr__6 (t_P6) -0.188 0.010 -18.894 0.000 -0.188 -0.223
.thpr__0 (t_H0) 0.078 0.009 8.248 0.000 0.078 0.076
.thpr__1 (t_H1) 0.079 0.010 8.027 0.000 0.079 0.075
.thpr__2 (t_H2) -0.003 0.009 -0.357 0.721 -0.003 -0.003
.thpr__3 (t_H3) -0.018 0.009 -1.870 0.062 -0.018 -0.018
.thpr__4 (t_H4) -0.056 0.009 -5.906 0.000 -0.056 -0.058
.thpr__5 (t_H5) -0.007 0.010 -0.661 0.509 -0.007 -0.007
.thpr__6 (t_H6) -0.129 0.011 -11.992 0.000 -0.129 -0.143
.attp__0 (t_A0) 0.075 0.009 8.134 0.000 0.075 0.075
.attp__1 (t_A1) 0.045 0.009 4.911 0.000 0.045 0.046
.attp__2 (t_A2) 0.007 0.009 0.801 0.423 0.007 0.008
.attp__3 (t_A3) 0.031 0.009 3.351 0.001 0.031 0.032
.attp__4 (t_A4) -0.037 0.009 -4.027 0.000 -0.037 -0.039
.attp__5 (t_A5) -0.028 0.009 -2.944 0.003 -0.028 -0.029
.attp__6 (t_A6) -0.115 0.011 -10.956 0.000 -0.115 -0.126
.rlbr__0 (t_R0) 0.052 0.009 5.685 0.000 0.052 0.052
.rlbr__1 (t_R1) 0.020 0.009 2.175 0.030 0.020 0.020
.rlbr__2 (t_R2) -0.010 0.009 -1.031 0.302 -0.010 -0.010
.rlbr__3 (t_R3) -0.001 0.010 -0.098 0.922 -0.001 -0.001
.rlbr__4 (t_R4) 0.001 0.010 0.106 0.915 0.001 0.001
.rlbr__5 (t_R5) 0.059 0.011 5.273 0.000 0.059 0.053
.rlbr__6 (t_R6) -0.023 0.012 -1.874 0.061 -0.023 -0.022
.aggr__0 (t_G0) 0.118 0.010 11.725 0.000 0.118 0.108
.aggr__1 (t_G1) 0.071 0.010 7.206 0.000 0.071 0.067
.aggr__2 (t_G2) 0.022 0.010 2.300 0.021 0.022 0.022
.aggr__3 (t_G3) 0.029 0.010 3.057 0.002 0.029 0.029
.aggr__4 (t_G4) -0.062 0.009 -6.706 0.000 -0.062 -0.065
.aggr__5 (t_G5) -0.064 0.009 -6.748 0.000 -0.064 -0.067
.aggr__6 (t_G6) -0.176 0.010 -18.104 0.000 -0.176 -0.208
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_etaB 1.000 1.000 1.000
p_eta1 1.000 1.000 1.000
p_eta2 1.000 1.000 1.000
p_eta3 1.000 1.000 1.000
p_eta4 1.000 1.000 1.000
p_eta5 1.000 1.000 1.000
p_eta6 1.000 1.000 1.000
.anxdep_comp_0 0.509 0.008 66.859 0.000 0.509 0.476
.withdep_comp_0 0.392 0.006 69.569 0.000 0.392 0.555
.soma_comp_0 0.701 0.010 73.238 0.000 0.701 0.726
.socprob_comp_0 0.385 0.007 57.033 0.000 0.385 0.317
.thouprob_cmp_0 0.414 0.007 62.136 0.000 0.414 0.388
.attprob_comp_0 0.457 0.007 64.765 0.000 0.457 0.457
.rulebrek_cmp_0 0.562 0.008 69.315 0.000 0.562 0.573
.aggress_comp_0 0.446 0.007 62.032 0.000 0.446 0.374
.anxdep_comp_1 0.524 0.008 65.641 0.000 0.524 0.487
.withdep_comp_1 0.434 0.006 67.919 0.000 0.434 0.561
.soma_comp_1 0.706 0.010 71.439 0.000 0.706 0.729
.socprob_comp_1 0.369 0.007 56.222 0.000 0.369 0.329
.thouprob_cmp_1 0.413 0.007 59.658 0.000 0.413 0.374
.attprob_comp_1 0.450 0.007 63.662 0.000 0.450 0.465
.rulebrek_cmp_1 0.558 0.008 67.781 0.000 0.558 0.588
.aggress_comp_1 0.430 0.007 61.279 0.000 0.430 0.387
.anxdep_comp_2 0.502 0.008 64.976 0.000 0.502 0.495
.withdep_comp_2 0.530 0.008 66.696 0.000 0.530 0.551
.soma_comp_2 0.648 0.009 69.962 0.000 0.648 0.717
.socprob_comp_2 0.344 0.006 55.849 0.000 0.344 0.336
.thouprob_cmp_2 0.372 0.006 58.488 0.000 0.372 0.376
.attprob_comp_2 0.421 0.007 62.587 0.000 0.421 0.457
.rulebrek_cmp_2 0.546 0.008 65.871 0.000 0.546 0.566
.aggress_comp_2 0.412 0.007 60.494 0.000 0.412 0.396
.anxdep_comp_3 0.526 0.008 63.131 0.000 0.526 0.490
.withdep_comp_3 0.645 0.010 65.040 0.000 0.645 0.552
.soma_comp_3 0.647 0.010 67.382 0.000 0.647 0.684
.socprob_comp_3 0.327 0.006 55.829 0.000 0.327 0.350
.thouprob_cmp_3 0.342 0.006 55.878 0.000 0.342 0.355
.attprob_comp_3 0.408 0.007 60.520 0.000 0.408 0.436
.rulebrek_cmp_3 0.555 0.009 63.231 0.000 0.555 0.557
.aggress_comp_3 0.400 0.007 58.854 0.000 0.400 0.391
.anxdep_comp_4 0.493 0.008 60.573 0.000 0.493 0.471
.withdep_comp_4 0.708 0.011 62.086 0.000 0.708 0.520
.soma_comp_4 0.723 0.011 65.254 0.000 0.723 0.683
.socprob_comp_4 0.318 0.006 55.051 0.000 0.318 0.363
.thouprob_cmp_4 0.316 0.006 53.317 0.000 0.316 0.337
.attprob_comp_4 0.364 0.006 57.368 0.000 0.364 0.401
.rulebrek_cmp_4 0.626 0.010 62.038 0.000 0.626 0.570
.aggress_comp_4 0.359 0.006 57.797 0.000 0.359 0.400
.anxdep_comp_5 0.506 0.009 57.767 0.000 0.506 0.458
.withdep_comp_5 0.708 0.012 58.900 0.000 0.708 0.490
.soma_comp_5 0.821 0.013 61.864 0.000 0.821 0.650
.socprob_comp_5 0.313 0.006 52.879 0.000 0.313 0.360
.thouprob_cmp_5 0.344 0.007 50.440 0.000 0.344 0.321
.attprob_comp_5 0.385 0.007 56.542 0.000 0.385 0.419
.rulebrek_cmp_5 0.739 0.012 60.691 0.000 0.739 0.590
.aggress_comp_5 0.365 0.007 56.035 0.000 0.365 0.402
.anxdep_comp_6 0.471 0.010 46.053 0.000 0.471 0.502
.withdep_comp_6 0.661 0.015 45.587 0.000 0.661 0.494
.soma_comp_6 0.818 0.017 48.437 0.000 0.818 0.652
.socprob_comp_6 0.267 0.006 41.029 0.000 0.267 0.373
.thouprob_cmp_6 0.287 0.007 39.397 0.000 0.287 0.355
.attprob_comp_6 0.347 0.008 44.026 0.000 0.347 0.416
.rulebrek_cmp_6 0.647 0.013 48.380 0.000 0.647 0.603
.aggress_comp_6 0.303 0.007 44.865 0.000 0.303 0.424
R-Square:
Estimate
anxdep_comp_0 0.524
withdep_comp_0 0.445
soma_comp_0 0.274
socprob_comp_0 0.683
thouprob_cmp_0 0.612
attprob_comp_0 0.543
rulebrek_cmp_0 0.427
aggress_comp_0 0.626
anxdep_comp_1 0.513
withdep_comp_1 0.439
soma_comp_1 0.271
socprob_comp_1 0.671
thouprob_cmp_1 0.626
attprob_comp_1 0.535
rulebrek_cmp_1 0.412
aggress_comp_1 0.613
anxdep_comp_2 0.505
withdep_comp_2 0.449
soma_comp_2 0.283
socprob_comp_2 0.664
thouprob_cmp_2 0.624
attprob_comp_2 0.543
rulebrek_cmp_2 0.434
aggress_comp_2 0.604
anxdep_comp_3 0.510
withdep_comp_3 0.448
soma_comp_3 0.316
socprob_comp_3 0.650
thouprob_cmp_3 0.645
attprob_comp_3 0.564
rulebrek_cmp_3 0.443
aggress_comp_3 0.609
anxdep_comp_4 0.529
withdep_comp_4 0.480
soma_comp_4 0.317
socprob_comp_4 0.637
thouprob_cmp_4 0.663
attprob_comp_4 0.599
rulebrek_cmp_4 0.430
aggress_comp_4 0.600
anxdep_comp_5 0.542
withdep_comp_5 0.510
soma_comp_5 0.350
socprob_comp_5 0.640
thouprob_cmp_5 0.679
attprob_comp_5 0.581
rulebrek_cmp_5 0.410
aggress_comp_5 0.598
anxdep_comp_6 0.498
withdep_comp_6 0.506
soma_comp_6 0.348
socprob_comp_6 0.627
thouprob_cmp_6 0.645
attprob_comp_6 0.584
rulebrek_cmp_6 0.397
aggress_comp_6 0.576
Weak invariance model
model fit
pc.7t.weak.invar <- "#factor loadings (with constraints)
p_etaB =~ 1*anxdep_comp_0+
lambda_W*withdep_comp_0+
lambda_S*soma_comp_0+
lambda_C*socprob_comp_0+
lambda_H*thouprob_comp_0+
lambda_A*attprob_comp_0+
lambda_R*rulebreak_comp_0+
lambda_G*aggress_comp_0
p_eta1 =~ 1*anxdep_comp_1+
lambda_W*withdep_comp_1+
lambda_S*soma_comp_1+
lambda_C*socprob_comp_1+
lambda_H*thouprob_comp_1+
lambda_A*attprob_comp_1+
lambda_R*rulebreak_comp_1+
lambda_G*aggress_comp_1
p_eta2 =~ 1*anxdep_comp_2+
lambda_W*withdep_comp_2+
lambda_S*soma_comp_2+
lambda_C*socprob_comp_2+
lambda_H*thouprob_comp_2+
lambda_A*attprob_comp_2+
lambda_R*rulebreak_comp_2+
lambda_G*aggress_comp_2
p_eta3 =~ 1*anxdep_comp_3+
lambda_W*withdep_comp_3+
lambda_S*soma_comp_3+
lambda_C*socprob_comp_3+
lambda_H*thouprob_comp_3+
lambda_A*attprob_comp_3+
lambda_R*rulebreak_comp_3+
lambda_G*aggress_comp_3
p_eta4 =~ 1*anxdep_comp_4+
lambda_W*withdep_comp_4+
lambda_S*soma_comp_4+
lambda_C*socprob_comp_4+
lambda_H*thouprob_comp_4+
lambda_A*attprob_comp_4+
lambda_R*rulebreak_comp_4+
lambda_G*aggress_comp_4
p_eta5 =~ 1*anxdep_comp_5+
lambda_W*withdep_comp_5+
lambda_S*soma_comp_5+
lambda_C*socprob_comp_5+
lambda_H*thouprob_comp_5+
lambda_A*attprob_comp_5+
lambda_R*rulebreak_comp_5+
lambda_G*aggress_comp_5
p_eta6 =~ 1*anxdep_comp_6+
lambda_W*withdep_comp_6+
lambda_S*soma_comp_6+
lambda_C*socprob_comp_6+
lambda_H*thouprob_comp_6+
lambda_A*attprob_comp_6+
lambda_R*rulebreak_comp_6+
lambda_G*aggress_comp_6
#latent variable variances
p_etaB~~NA*p_etaB
p_eta1~~NA*p_eta1
p_eta2~~NA*p_eta2
p_eta3~~NA*p_eta3
p_eta4~~NA*p_eta4
p_eta5~~NA*p_eta5
p_eta6~~NA*p_eta6
#latent variable covariances
p_etaB~~p_eta1 + p_eta2 + p_eta3 + p_eta4 + p_eta5 + p_eta6
p_eta1~~p_eta2 + p_eta3 + p_eta4 + p_eta5 + p_eta6
p_eta2~~p_eta3 + p_eta4 + p_eta5 + p_eta6
p_eta3~~p_eta4 + p_eta5 + p_eta6
p_eta4~~p_eta5 + p_eta6
p_eta5~~p_eta6
#unique variances # No need to constrict these
anxdep_comp_0~~anxdep_comp_0
withdep_comp_0~~withdep_comp_0
soma_comp_0~~soma_comp_0
socprob_comp_0~~socprob_comp_0
thouprob_comp_0~~thouprob_comp_0
attprob_comp_0~~attprob_comp_0
rulebreak_comp_0~~rulebreak_comp_0
aggress_comp_0~~aggress_comp_0
anxdep_comp_1~~anxdep_comp_1
withdep_comp_1~~withdep_comp_1
soma_comp_1~~soma_comp_1
socprob_comp_1~~socprob_comp_1
thouprob_comp_1~~thouprob_comp_1
attprob_comp_1~~attprob_comp_1
rulebreak_comp_1~~rulebreak_comp_1
aggress_comp_1~~aggress_comp_1
anxdep_comp_2~~anxdep_comp_2
withdep_comp_2~~withdep_comp_2
soma_comp_2~~soma_comp_2
socprob_comp_2~~socprob_comp_2
thouprob_comp_2~~thouprob_comp_2
attprob_comp_2~~attprob_comp_2
rulebreak_comp_2~~rulebreak_comp_2
aggress_comp_2~~aggress_comp_2
anxdep_comp_3~~anxdep_comp_3
withdep_comp_3~~withdep_comp_3
soma_comp_3~~soma_comp_3
socprob_comp_3~~socprob_comp_3
thouprob_comp_3~~thouprob_comp_3
attprob_comp_3~~attprob_comp_3
rulebreak_comp_3~~rulebreak_comp_3
aggress_comp_3~~aggress_comp_3
anxdep_comp_4~~anxdep_comp_4
withdep_comp_4~~withdep_comp_4
soma_comp_4~~soma_comp_4
socprob_comp_4~~socprob_comp_4
thouprob_comp_4~~thouprob_comp_4
attprob_comp_4~~attprob_comp_4
rulebreak_comp_4~~rulebreak_comp_4
aggress_comp_4~~aggress_comp_4
anxdep_comp_5~~anxdep_comp_5
withdep_comp_5~~withdep_comp_5
soma_comp_5~~soma_comp_5
socprob_comp_5~~socprob_comp_5
thouprob_comp_5~~thouprob_comp_5
attprob_comp_5~~attprob_comp_5
rulebreak_comp_5~~rulebreak_comp_5
aggress_comp_5~~aggress_comp_5
anxdep_comp_6~~anxdep_comp_6
withdep_comp_6~~withdep_comp_6
soma_comp_6~~soma_comp_6
socprob_comp_6~~socprob_comp_6
thouprob_comp_6~~thouprob_comp_6
attprob_comp_6~~attprob_comp_6
rulebreak_comp_6~~rulebreak_comp_6
aggress_comp_6~~aggress_comp_6
#unique covariances
# Scores arcoss times
anxdep_comp_0~~anxdep_comp_1 + anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_1~~anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_2~~anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_3~~anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_4~~anxdep_comp_5+ anxdep_comp_6
anxdep_comp_5~~anxdep_comp_6
withdep_comp_0~~withdep_comp_1 + withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_1~~withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_2~~withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_3~~withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_4~~withdep_comp_5 + withdep_comp_6
withdep_comp_5~~withdep_comp_6
soma_comp_0~~soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_1~~soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_2~~soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_3~~soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_4~~soma_comp_5 + soma_comp_6
soma_comp_5~~soma_comp_6
socprob_comp_0~~socprob_comp_1 + socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_1~~socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_2~~socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_3~~socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_4~~socprob_comp_5 + socprob_comp_6
socprob_comp_5~~socprob_comp_6
thouprob_comp_0~~thouprob_comp_1 + thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_1~~thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_2~~thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_3~~thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_4~~thouprob_comp_5 + thouprob_comp_6
thouprob_comp_5~~thouprob_comp_6
attprob_comp_0~~attprob_comp_1 + attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_1~~attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_2~~attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_3~~attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_4~~attprob_comp_5 + attprob_comp_6
attprob_comp_5~~attprob_comp_6
rulebreak_comp_0~~rulebreak_comp_1 + rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_1~~rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_2~~rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_3~~rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_4~~rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_5~~rulebreak_comp_6
aggress_comp_0~~aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_1~~aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_2~~aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_3~~aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_4~~aggress_comp_5 + aggress_comp_6
aggress_comp_5~~aggress_comp_6
# Internalizeing subscale covariances
anxdep_comp_0~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_1~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_2~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_3~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_4~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_5~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_6~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
withdep_comp_0~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_1~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_2~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_3~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_4~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_5~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_6~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
# Externalizeing subscale covariances
rulebreak_comp_0~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_1~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_2~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_3~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_4~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_5~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_6~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
#latent variable intercepts
p_etaB~0*1
p_eta1~0*1
p_eta2~0*1
p_eta3~0*1
p_eta4~0*1
#observed variable intercepts
anxdep_comp_0~tau_X0*1
anxdep_comp_1~tau_X1*1
anxdep_comp_2~tau_X2*1
anxdep_comp_3~tau_X3*1
anxdep_comp_4~tau_X4*1
anxdep_comp_5~tau_X5*1
anxdep_comp_6~tau_X6*1
withdep_comp_0~tau_W0*1
withdep_comp_1~tau_W1*1
withdep_comp_2~tau_W2*1
withdep_comp_3~tau_W3*1
withdep_comp_4~tau_W4*1
withdep_comp_5~tau_W5*1
withdep_comp_6~tau_W6*1
soma_comp_0~tau_S0*1
soma_comp_1~tau_S1*1
soma_comp_2~tau_S2*1
soma_comp_3~tau_S3*1
soma_comp_4~tau_S4*1
soma_comp_5~tau_S5*1
soma_comp_6~tau_S6*1
socprob_comp_0~tau_P0*1
socprob_comp_1~tau_P1*1
socprob_comp_2~tau_P2*1
socprob_comp_3~tau_P3*1
socprob_comp_4~tau_P4*1
socprob_comp_5~tau_P5*1
socprob_comp_6~tau_P6*1
thouprob_comp_0~tau_H0*1
thouprob_comp_1~tau_H1*1
thouprob_comp_2~tau_H2*1
thouprob_comp_3~tau_H3*1
thouprob_comp_4~tau_H4*1
thouprob_comp_5~tau_H5*1
thouprob_comp_6~tau_H6*1
attprob_comp_0~tau_A0*1
attprob_comp_1~tau_A1*1
attprob_comp_2~tau_A2*1
attprob_comp_3~tau_A3*1
attprob_comp_4~tau_A4*1
attprob_comp_5~tau_A5*1
attprob_comp_6~tau_A6*1
rulebreak_comp_0~tau_R0*1
rulebreak_comp_1~tau_R1*1
rulebreak_comp_2~tau_R2*1
rulebreak_comp_3~tau_R3*1
rulebreak_comp_4~tau_R4*1
rulebreak_comp_5~tau_R5*1
rulebreak_comp_6~tau_R6*1
aggress_comp_0~tau_G0*1
aggress_comp_1~tau_G1*1
aggress_comp_2~tau_G2*1
aggress_comp_3~tau_G3*1
aggress_comp_4~tau_G4*1
aggress_comp_5~tau_G5*1
aggress_comp_6~tau_G6*1"
lavaan(pc.7t.weak.invar,
data = pc_factor_nolow_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("pc_7t_weak.rds")result
readRDS("pc_7t_weak.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pc_7t_weak_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pc_7t_weak.rds"), "cor.lv"))$value[1] 5.2163038 0.6505324 0.3242678 0.2432078 0.2044298 0.1928034 0.1684550
readRDS("pc_7t_weak_result.rds")lavaan 0.6-19 ended normally after 218 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 553
Number of equality constraints 42
Used Total
Number of observations 11865 11867
Number of missing patterns 82
Model Test User Model:
Test statistic 11464.355
Degrees of freedom 1141
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 512564.005
Degrees of freedom 1540
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.980
Tucker-Lewis Index (TLI) 0.973
Robust Comparative Fit Index (CFI) 0.980
Robust Tucker-Lewis Index (TLI) 0.972
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -508031.603
Loglikelihood unrestricted model (H1) -502299.426
Akaike (AIC) 1017085.206
Bayesian (BIC) 1020857.075
Sample-size adjusted Bayesian (SABIC) 1019233.175
Root Mean Square Error of Approximation:
RMSEA 0.028
90 Percent confidence interval - lower 0.027
90 Percent confidence interval - upper 0.028
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.032
90 Percent confidence interval - lower 0.031
90 Percent confidence interval - upper 0.032
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.057
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_etaB =~
anxd__0 1.000 0.746 0.721
wthd__0 (lm_W) 0.888 0.006 143.459 0.000 0.662 0.725
sm_cm_0 (lm_S) 0.739 0.007 109.855 0.000 0.551 0.550
scpr__0 (lm_C) 1.111 0.007 151.852 0.000 0.828 0.790
thpr__0 (lm_H) 1.108 0.007 150.973 0.000 0.826 0.793
attp__0 (lm_A) 0.999 0.007 141.268 0.000 0.745 0.742
rlbr__0 (lm_R) 0.901 0.007 120.985 0.000 0.672 0.669
aggr__0 (lm_G) 1.066 0.007 145.494 0.000 0.795 0.759
p_eta1 =~
anxd__1 1.000 0.733 0.710
wthd__1 (lm_W) 0.888 0.006 143.459 0.000 0.651 0.702
sm_cm_1 (lm_S) 0.739 0.007 109.855 0.000 0.541 0.541
scpr__1 (lm_C) 1.111 0.007 151.852 0.000 0.814 0.795
thpr__1 (lm_H) 1.108 0.007 150.973 0.000 0.812 0.784
attp__1 (lm_A) 0.999 0.007 141.268 0.000 0.732 0.739
rlbr__1 (lm_R) 0.901 0.007 120.985 0.000 0.660 0.664
aggr__1 (lm_G) 1.066 0.007 145.494 0.000 0.781 0.762
p_eta2 =~
anxd__2 1.000 0.717 0.711
wthd__2 (lm_W) 0.888 0.006 143.459 0.000 0.637 0.657
sm_cm_2 (lm_S) 0.739 0.007 109.855 0.000 0.530 0.550
scpr__2 (lm_C) 1.111 0.007 151.852 0.000 0.796 0.803
thpr__2 (lm_H) 1.108 0.007 150.973 0.000 0.794 0.795
attp__2 (lm_A) 0.999 0.007 141.268 0.000 0.716 0.742
rlbr__2 (lm_R) 0.901 0.007 120.985 0.000 0.646 0.658
aggr__2 (lm_G) 1.066 0.007 145.494 0.000 0.765 0.763
p_eta3 =~
anxd__3 1.000 0.719 0.704
wthd__3 (lm_W) 0.888 0.006 143.459 0.000 0.639 0.619
sm_cm_3 (lm_S) 0.739 0.007 109.855 0.000 0.532 0.551
scpr__3 (lm_C) 1.111 0.007 151.852 0.000 0.799 0.817
thpr__3 (lm_H) 1.108 0.007 150.973 0.000 0.797 0.807
attp__3 (lm_A) 0.999 0.007 141.268 0.000 0.719 0.745
rlbr__3 (lm_R) 0.901 0.007 120.985 0.000 0.648 0.656
aggr__3 (lm_G) 1.066 0.007 145.494 0.000 0.767 0.770
p_eta4 =~
anxd__4 1.000 0.709 0.710
wthd__4 (lm_W) 0.888 0.006 143.459 0.000 0.630 0.589
sm_cm_4 (lm_S) 0.739 0.007 109.855 0.000 0.524 0.522
scpr__4 (lm_C) 1.111 0.007 151.852 0.000 0.788 0.820
thpr__4 (lm_H) 1.108 0.007 150.973 0.000 0.786 0.812
attp__4 (lm_A) 0.999 0.007 141.268 0.000 0.709 0.755
rlbr__4 (lm_R) 0.901 0.007 120.985 0.000 0.639 0.626
aggr__4 (lm_G) 1.066 0.007 145.494 0.000 0.757 0.786
p_eta5 =~
anxd__5 1.000 0.725 0.710
wthd__5 (lm_W) 0.888 0.006 143.459 0.000 0.644 0.592
sm_cm_5 (lm_S) 0.739 0.007 109.855 0.000 0.536 0.501
scpr__5 (lm_C) 1.111 0.007 151.852 0.000 0.805 0.829
thpr__5 (lm_H) 1.108 0.007 150.973 0.000 0.803 0.799
attp__5 (lm_A) 0.999 0.007 141.268 0.000 0.724 0.757
rlbr__5 (lm_R) 0.901 0.007 120.985 0.000 0.653 0.603
aggr__5 (lm_G) 1.066 0.007 145.494 0.000 0.773 0.792
p_eta6 =~
anxd__6 1.000 0.647 0.685
wthd__6 (lm_W) 0.888 0.006 143.459 0.000 0.575 0.557
sm_cm_6 (lm_S) 0.739 0.007 109.855 0.000 0.479 0.456
scpr__6 (lm_C) 1.111 0.007 151.852 0.000 0.719 0.820
thpr__6 (lm_H) 1.108 0.007 150.973 0.000 0.717 0.797
attp__6 (lm_A) 0.999 0.007 141.268 0.000 0.647 0.729
rlbr__6 (lm_R) 0.901 0.007 120.985 0.000 0.583 0.584
aggr__6 (lm_G) 1.066 0.007 145.494 0.000 0.690 0.786
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_etaB ~~
p_eta1 0.428 0.008 51.514 0.000 0.784 0.784
p_eta2 0.381 0.008 48.769 0.000 0.713 0.713
p_eta3 0.357 0.008 46.545 0.000 0.665 0.665
p_eta4 0.329 0.007 44.214 0.000 0.621 0.621
p_eta5 0.322 0.008 42.483 0.000 0.597 0.597
p_eta6 0.272 0.007 36.603 0.000 0.564 0.564
p_eta1 ~~
p_eta2 0.403 0.008 50.311 0.000 0.767 0.767
p_eta3 0.381 0.008 48.456 0.000 0.724 0.724
p_eta4 0.349 0.008 46.036 0.000 0.672 0.672
p_eta5 0.344 0.008 44.406 0.000 0.648 0.648
p_eta6 0.289 0.008 38.398 0.000 0.610 0.610
p_eta2 ~~
p_eta3 0.404 0.008 50.027 0.000 0.783 0.783
p_eta4 0.361 0.008 47.126 0.000 0.710 0.710
p_eta5 0.353 0.008 45.390 0.000 0.679 0.679
p_eta6 0.299 0.007 39.903 0.000 0.644 0.644
p_eta3 ~~
p_eta4 0.396 0.008 48.807 0.000 0.775 0.775
p_eta5 0.385 0.008 46.977 0.000 0.739 0.739
p_eta6 0.323 0.008 41.451 0.000 0.693 0.693
p_eta4 ~~
p_eta5 0.412 0.009 48.420 0.000 0.800 0.800
p_eta6 0.340 0.008 42.689 0.000 0.740 0.740
p_eta5 ~~
p_eta6 0.382 0.009 44.604 0.000 0.815 0.815
.anxdep_comp_0 ~~
.anxdep_comp_1 0.315 0.007 48.433 0.000 0.315 0.606
.anxdep_comp_2 0.278 0.006 44.598 0.000 0.278 0.548
.anxdep_comp_3 0.251 0.006 39.815 0.000 0.251 0.483
.anxdep_comp_4 0.223 0.006 36.360 0.000 0.223 0.443
.anxdep_comp_5 0.205 0.006 32.113 0.000 0.205 0.399
.anxdep_comp_6 0.185 0.007 25.420 0.000 0.185 0.375
.anxdep_comp_1 ~~
.anxdep_comp_2 0.307 0.006 47.242 0.000 0.307 0.595
.anxdep_comp_3 0.274 0.007 42.045 0.000 0.274 0.518
.anxdep_comp_4 0.233 0.006 37.105 0.000 0.233 0.456
.anxdep_comp_5 0.226 0.007 34.417 0.000 0.226 0.432
.anxdep_comp_6 0.197 0.007 26.464 0.000 0.197 0.394
.anxdep_comp_2 ~~
.anxdep_comp_3 0.319 0.007 48.037 0.000 0.319 0.619
.anxdep_comp_4 0.273 0.006 43.018 0.000 0.273 0.546
.anxdep_comp_5 0.254 0.007 38.998 0.000 0.254 0.498
.anxdep_comp_6 0.223 0.007 30.640 0.000 0.223 0.457
.anxdep_comp_3 ~~
.anxdep_comp_4 0.306 0.007 45.702 0.000 0.306 0.598
.anxdep_comp_5 0.286 0.007 41.573 0.000 0.286 0.548
.anxdep_comp_6 0.246 0.007 33.137 0.000 0.246 0.493
.anxdep_comp_4 ~~
.anxdep_comp_5 0.330 0.007 46.976 0.000 0.330 0.653
.anxdep_comp_6 0.272 0.008 36.262 0.000 0.272 0.561
.anxdep_comp_5 ~~
.anxdep_comp_6 0.308 0.008 39.111 0.000 0.308 0.623
.withdep_comp_0 ~~
.withdep_comp_1 0.235 0.005 45.599 0.000 0.235 0.565
.withdep_comp_2 0.211 0.005 38.938 0.000 0.211 0.460
.withdep_comp_3 0.191 0.006 32.294 0.000 0.191 0.375
.withdep_comp_4 0.168 0.006 26.508 0.000 0.168 0.309
.withdep_comp_5 0.161 0.007 24.299 0.000 0.161 0.292
.withdep_comp_6 0.133 0.008 16.962 0.000 0.133 0.247
.withdep_comp_1 ~~
.withdep_comp_2 0.266 0.006 45.281 0.000 0.266 0.552
.withdep_comp_3 0.253 0.006 39.742 0.000 0.253 0.472
.withdep_comp_4 0.224 0.007 33.351 0.000 0.224 0.393
.withdep_comp_5 0.211 0.007 30.225 0.000 0.211 0.364
.withdep_comp_6 0.172 0.008 21.216 0.000 0.172 0.304
.withdep_comp_2 ~~
.withdep_comp_3 0.335 0.007 46.262 0.000 0.335 0.565
.withdep_comp_4 0.305 0.008 40.206 0.000 0.305 0.484
.withdep_comp_5 0.278 0.008 35.490 0.000 0.278 0.433
.withdep_comp_6 0.232 0.009 25.018 0.000 0.232 0.371
.withdep_comp_3 ~~
.withdep_comp_4 0.402 0.009 46.025 0.000 0.402 0.574
.withdep_comp_5 0.371 0.009 41.619 0.000 0.371 0.522
.withdep_comp_6 0.309 0.010 30.583 0.000 0.309 0.445
.withdep_comp_4 ~~
.withdep_comp_5 0.465 0.010 46.792 0.000 0.465 0.613
.withdep_comp_6 0.394 0.011 35.723 0.000 0.394 0.532
.withdep_comp_5 ~~
.withdep_comp_6 0.457 0.012 39.391 0.000 0.457 0.608
.soma_comp_0 ~~
.soma_comp_1 0.362 0.008 46.117 0.000 0.362 0.515
.soma_comp_2 0.306 0.007 41.062 0.000 0.306 0.455
.soma_comp_3 0.271 0.007 36.379 0.000 0.271 0.402
.soma_comp_4 0.258 0.008 32.293 0.000 0.258 0.360
.soma_comp_5 0.256 0.009 28.750 0.000 0.256 0.330
.soma_comp_6 0.250 0.011 23.405 0.000 0.250 0.320
.soma_comp_1 ~~
.soma_comp_2 0.342 0.008 44.534 0.000 0.342 0.505
.soma_comp_3 0.297 0.008 38.932 0.000 0.297 0.439
.soma_comp_4 0.283 0.008 34.850 0.000 0.283 0.393
.soma_comp_5 0.286 0.009 31.693 0.000 0.286 0.368
.soma_comp_6 0.262 0.011 24.168 0.000 0.262 0.333
.soma_comp_2 ~~
.soma_comp_3 0.330 0.008 43.862 0.000 0.330 0.508
.soma_comp_4 0.310 0.008 38.839 0.000 0.310 0.450
.soma_comp_5 0.305 0.009 34.898 0.000 0.305 0.409
.soma_comp_6 0.278 0.010 27.118 0.000 0.278 0.370
.soma_comp_3 ~~
.soma_comp_4 0.344 0.008 41.680 0.000 0.344 0.499
.soma_comp_5 0.333 0.009 36.873 0.000 0.333 0.445
.soma_comp_6 0.317 0.010 30.235 0.000 0.317 0.420
.soma_comp_4 ~~
.soma_comp_5 0.438 0.010 43.655 0.000 0.438 0.552
.soma_comp_6 0.408 0.012 34.746 0.000 0.408 0.510
.soma_comp_5 ~~
.soma_comp_6 0.506 0.013 38.994 0.000 0.506 0.584
.socprob_comp_0 ~~
.socprob_comp_1 0.191 0.005 36.020 0.000 0.191 0.477
.socprob_comp_2 0.160 0.005 31.999 0.000 0.160 0.420
.socprob_comp_3 0.129 0.005 26.896 0.000 0.129 0.355
.socprob_comp_4 0.106 0.005 22.420 0.000 0.106 0.299
.socprob_comp_5 0.095 0.005 19.916 0.000 0.095 0.274
.socprob_comp_6 0.080 0.005 15.069 0.000 0.080 0.249
.socprob_comp_1 ~~
.socprob_comp_2 0.175 0.005 35.005 0.000 0.175 0.476
.socprob_comp_3 0.141 0.005 29.659 0.000 0.141 0.403
.socprob_comp_4 0.114 0.005 24.440 0.000 0.114 0.333
.socprob_comp_5 0.099 0.005 21.113 0.000 0.099 0.294
.socprob_comp_6 0.093 0.005 17.657 0.000 0.093 0.297
.socprob_comp_2 ~~
.socprob_comp_3 0.160 0.005 33.755 0.000 0.160 0.479
.socprob_comp_4 0.138 0.005 29.895 0.000 0.138 0.422
.socprob_comp_5 0.115 0.005 24.847 0.000 0.115 0.358
.socprob_comp_6 0.104 0.005 20.670 0.000 0.104 0.349
.socprob_comp_3 ~~
.socprob_comp_4 0.143 0.005 31.526 0.000 0.143 0.460
.socprob_comp_5 0.127 0.005 27.648 0.000 0.127 0.415
.socprob_comp_6 0.110 0.005 22.315 0.000 0.110 0.388
.socprob_comp_4 ~~
.socprob_comp_5 0.153 0.005 32.588 0.000 0.153 0.511
.socprob_comp_6 0.131 0.005 25.856 0.000 0.131 0.473
.socprob_comp_5 ~~
.socprob_comp_6 0.147 0.005 28.340 0.000 0.147 0.542
.thouprob_comp_0 ~~
.thouprob_cmp_1 0.195 0.005 36.711 0.000 0.195 0.477
.thouprob_cmp_2 0.156 0.005 31.347 0.000 0.156 0.404
.thouprob_cmp_3 0.130 0.005 27.000 0.000 0.130 0.351
.thouprob_cmp_4 0.114 0.005 23.725 0.000 0.114 0.316
.thouprob_cmp_5 0.109 0.005 21.076 0.000 0.109 0.284
.thouprob_cmp_6 0.081 0.006 13.970 0.000 0.081 0.234
.thouprob_comp_1 ~~
.thouprob_cmp_2 0.185 0.005 35.697 0.000 0.185 0.475
.thouprob_cmp_3 0.151 0.005 30.182 0.000 0.151 0.403
.thouprob_cmp_4 0.132 0.005 26.657 0.000 0.132 0.361
.thouprob_cmp_5 0.136 0.005 25.603 0.000 0.136 0.349
.thouprob_cmp_6 0.098 0.006 16.831 0.000 0.098 0.280
.thouprob_comp_2 ~~
.thouprob_cmp_3 0.156 0.005 32.080 0.000 0.156 0.442
.thouprob_cmp_4 0.131 0.005 27.663 0.000 0.131 0.383
.thouprob_cmp_5 0.130 0.005 25.497 0.000 0.130 0.356
.thouprob_cmp_6 0.090 0.006 16.094 0.000 0.090 0.272
.thouprob_comp_3 ~~
.thouprob_cmp_4 0.136 0.005 28.909 0.000 0.136 0.414
.thouprob_cmp_5 0.129 0.005 25.402 0.000 0.129 0.366
.thouprob_cmp_6 0.089 0.005 16.407 0.000 0.089 0.281
.thouprob_comp_4 ~~
.thouprob_cmp_5 0.167 0.005 32.160 0.000 0.167 0.486
.thouprob_cmp_6 0.123 0.005 22.453 0.000 0.123 0.400
.thouprob_comp_5 ~~
.thouprob_cmp_6 0.162 0.006 26.919 0.000 0.162 0.494
.attprob_comp_0 ~~
.attprob_comp_1 0.302 0.006 51.286 0.000 0.302 0.672
.attprob_comp_2 0.268 0.006 47.833 0.000 0.268 0.615
.attprob_comp_3 0.249 0.006 44.952 0.000 0.249 0.574
.attprob_comp_4 0.216 0.005 40.722 0.000 0.216 0.522
.attprob_comp_5 0.215 0.006 39.016 0.000 0.215 0.510
.attprob_comp_6 0.190 0.006 31.146 0.000 0.190 0.466
.attprob_comp_1 ~~
.attprob_comp_2 0.289 0.006 50.436 0.000 0.289 0.669
.attprob_comp_3 0.265 0.006 47.181 0.000 0.265 0.619
.attprob_comp_4 0.226 0.005 42.233 0.000 0.226 0.552
.attprob_comp_5 0.226 0.006 41.030 0.000 0.226 0.542
.attprob_comp_6 0.202 0.006 33.140 0.000 0.202 0.500
.attprob_comp_2 ~~
.attprob_comp_3 0.276 0.006 49.336 0.000 0.276 0.665
.attprob_comp_4 0.237 0.005 44.744 0.000 0.237 0.597
.attprob_comp_5 0.238 0.005 43.431 0.000 0.238 0.588
.attprob_comp_6 0.210 0.006 35.229 0.000 0.210 0.535
.attprob_comp_3 ~~
.attprob_comp_4 0.256 0.005 47.021 0.000 0.256 0.648
.attprob_comp_5 0.248 0.006 44.578 0.000 0.248 0.616
.attprob_comp_6 0.218 0.006 36.533 0.000 0.218 0.558
.attprob_comp_4 ~~
.attprob_comp_5 0.261 0.006 46.858 0.000 0.261 0.680
.attprob_comp_6 0.232 0.006 38.976 0.000 0.232 0.621
.attprob_comp_5 ~~
.attprob_comp_6 0.260 0.006 41.565 0.000 0.260 0.686
.rulebreak_comp_0 ~~
.rulebrek_cmp_1 0.338 0.007 49.966 0.000 0.338 0.608
.rulebrek_cmp_2 0.295 0.007 44.769 0.000 0.295 0.535
.rulebrek_cmp_3 0.274 0.007 40.706 0.000 0.274 0.491
.rulebrek_cmp_4 0.264 0.007 36.733 0.000 0.264 0.443
.rulebrek_cmp_5 0.284 0.008 35.906 0.000 0.284 0.439
.rulebrek_cmp_6 0.234 0.009 27.134 0.000 0.234 0.385
.rulebreak_comp_1 ~~
.rulebrek_cmp_2 0.320 0.007 47.448 0.000 0.320 0.583
.rulebrek_cmp_3 0.299 0.007 43.723 0.000 0.299 0.540
.rulebrek_cmp_4 0.299 0.007 40.888 0.000 0.299 0.506
.rulebrek_cmp_5 0.291 0.008 36.685 0.000 0.291 0.453
.rulebrek_cmp_6 0.255 0.009 29.191 0.000 0.255 0.423
.rulebreak_comp_2 ~~
.rulebrek_cmp_3 0.331 0.007 46.953 0.000 0.331 0.600
.rulebrek_cmp_4 0.310 0.007 42.005 0.000 0.310 0.528
.rulebrek_cmp_5 0.330 0.008 40.804 0.000 0.330 0.516
.rulebrek_cmp_6 0.283 0.009 32.371 0.000 0.283 0.472
.rulebreak_comp_3 ~~
.rulebrek_cmp_4 0.346 0.008 44.946 0.000 0.346 0.583
.rulebrek_cmp_5 0.351 0.008 41.847 0.000 0.351 0.544
.rulebrek_cmp_6 0.312 0.009 35.603 0.000 0.312 0.516
.rulebreak_comp_4 ~~
.rulebrek_cmp_5 0.436 0.009 46.901 0.000 0.436 0.633
.rulebrek_cmp_6 0.389 0.010 39.729 0.000 0.389 0.603
.rulebreak_comp_5 ~~
.rulebrek_cmp_6 0.484 0.011 43.961 0.000 0.484 0.690
.aggress_comp_0 ~~
.aggress_comp_1 0.297 0.006 49.566 0.000 0.297 0.655
.aggress_comp_2 0.267 0.006 46.306 0.000 0.267 0.604
.aggress_comp_3 0.229 0.006 40.873 0.000 0.229 0.526
.aggress_comp_4 0.202 0.005 38.175 0.000 0.202 0.498
.aggress_comp_5 0.196 0.005 36.007 0.000 0.196 0.480
.aggress_comp_6 0.162 0.006 28.256 0.000 0.162 0.435
.aggress_comp_1 ~~
.aggress_comp_2 0.275 0.006 47.826 0.000 0.275 0.640
.aggress_comp_3 0.244 0.006 43.718 0.000 0.244 0.579
.aggress_comp_4 0.209 0.005 39.901 0.000 0.209 0.530
.aggress_comp_5 0.196 0.005 36.648 0.000 0.196 0.496
.aggress_comp_6 0.162 0.006 28.529 0.000 0.162 0.449
.aggress_comp_2 ~~
.aggress_comp_3 0.266 0.006 46.898 0.000 0.266 0.646
.aggress_comp_4 0.220 0.005 41.934 0.000 0.220 0.572
.aggress_comp_5 0.213 0.005 39.867 0.000 0.213 0.553
.aggress_comp_6 0.182 0.006 32.593 0.000 0.182 0.518
.aggress_comp_3 ~~
.aggress_comp_4 0.241 0.005 44.678 0.000 0.241 0.635
.aggress_comp_5 0.223 0.005 41.056 0.000 0.223 0.587
.aggress_comp_6 0.193 0.006 34.672 0.000 0.193 0.558
.aggress_comp_4 ~~
.aggress_comp_5 0.237 0.005 44.355 0.000 0.237 0.668
.aggress_comp_6 0.199 0.005 36.512 0.000 0.199 0.614
.aggress_comp_5 ~~
.aggress_comp_6 0.222 0.006 38.983 0.000 0.222 0.685
.anxdep_comp_0 ~~
.withdep_comp_0 0.100 0.005 19.812 0.000 0.100 0.223
.soma_comp_0 0.119 0.006 18.817 0.000 0.119 0.198
.withdep_comp_1 0.085 0.005 16.303 0.000 0.085 0.180
.soma_comp_1 0.082 0.006 13.041 0.000 0.082 0.137
.withdep_comp_2 0.087 0.006 15.220 0.000 0.087 0.166
.soma_comp_2 0.077 0.006 12.531 0.000 0.077 0.133
.withdep_comp_3 0.098 0.006 15.286 0.000 0.098 0.168
.soma_comp_3 0.076 0.006 12.152 0.000 0.076 0.132
.withdep_comp_4 0.081 0.007 11.688 0.000 0.081 0.130
.soma_comp_4 0.084 0.007 12.442 0.000 0.084 0.138
.withdep_comp_5 0.076 0.007 10.519 0.000 0.076 0.121
.soma_comp_5 0.065 0.008 8.511 0.000 0.065 0.097
.withdep_comp_6 0.065 0.009 7.532 0.000 0.065 0.106
.soma_comp_6 0.069 0.009 7.396 0.000 0.069 0.103
.withdep_comp_0 ~~
.anxdep_comp_1 0.073 0.005 14.518 0.000 0.073 0.161
.soma_comp_0 ~~
.anxdep_comp_1 0.097 0.006 15.217 0.000 0.097 0.160
.anxdep_comp_1 ~~
.withdep_comp_1 0.106 0.005 19.532 0.000 0.106 0.220
.soma_comp_1 0.111 0.007 16.964 0.000 0.111 0.181
.withdep_comp_2 0.089 0.006 15.289 0.000 0.089 0.168
.soma_comp_2 0.083 0.006 13.216 0.000 0.083 0.141
.withdep_comp_3 0.105 0.007 16.181 0.000 0.105 0.179
.soma_comp_3 0.078 0.006 12.197 0.000 0.078 0.132
.withdep_comp_4 0.087 0.007 12.463 0.000 0.087 0.139
.soma_comp_4 0.089 0.007 12.823 0.000 0.089 0.142
.withdep_comp_5 0.098 0.007 13.279 0.000 0.098 0.154
.soma_comp_5 0.083 0.008 10.686 0.000 0.083 0.123
.withdep_comp_6 0.077 0.009 8.735 0.000 0.077 0.124
.soma_comp_6 0.068 0.010 7.162 0.000 0.068 0.101
.withdep_comp_0 ~~
.anxdep_comp_2 0.077 0.005 15.511 0.000 0.077 0.173
.soma_comp_0 ~~
.anxdep_comp_2 0.095 0.006 15.058 0.000 0.095 0.160
.withdep_comp_1 ~~
.anxdep_comp_2 0.093 0.005 17.826 0.000 0.093 0.200
.soma_comp_1 ~~
.anxdep_comp_2 0.085 0.006 13.386 0.000 0.085 0.143
.anxdep_comp_2 ~~
.withdep_comp_2 0.144 0.006 24.374 0.000 0.144 0.277
.soma_comp_2 0.115 0.006 18.552 0.000 0.115 0.202
.withdep_comp_3 0.132 0.006 20.493 0.000 0.132 0.229
.soma_comp_3 0.095 0.006 15.167 0.000 0.095 0.166
.withdep_comp_4 0.116 0.007 16.796 0.000 0.116 0.189
.soma_comp_4 0.107 0.007 15.858 0.000 0.107 0.177
.withdep_comp_5 0.103 0.007 14.363 0.000 0.103 0.166
.soma_comp_5 0.090 0.008 12.020 0.000 0.090 0.137
.withdep_comp_6 0.079 0.009 9.282 0.000 0.079 0.130
.soma_comp_6 0.081 0.009 8.783 0.000 0.081 0.122
.withdep_comp_0 ~~
.anxdep_comp_3 0.066 0.005 12.823 0.000 0.066 0.145
.soma_comp_0 ~~
.anxdep_comp_3 0.100 0.007 15.331 0.000 0.100 0.165
.withdep_comp_1 ~~
.anxdep_comp_3 0.081 0.005 15.082 0.000 0.081 0.170
.soma_comp_1 ~~
.anxdep_comp_3 0.091 0.007 13.715 0.000 0.091 0.148
.withdep_comp_2 ~~
.anxdep_comp_3 0.114 0.006 19.133 0.000 0.114 0.215
.soma_comp_2 ~~
.anxdep_comp_3 0.100 0.006 15.770 0.000 0.100 0.171
.anxdep_comp_3 ~~
.withdep_comp_3 0.182 0.007 26.630 0.000 0.182 0.309
.soma_comp_3 0.129 0.007 19.680 0.000 0.129 0.220
.withdep_comp_4 0.139 0.007 19.334 0.000 0.139 0.221
.soma_comp_4 0.135 0.007 19.067 0.000 0.135 0.217
.withdep_comp_5 0.133 0.008 17.630 0.000 0.133 0.208
.soma_comp_5 0.123 0.008 15.638 0.000 0.123 0.183
.withdep_comp_6 0.098 0.009 11.414 0.000 0.098 0.158
.soma_comp_6 0.128 0.009 13.730 0.000 0.128 0.189
.withdep_comp_0 ~~
.anxdep_comp_4 0.050 0.005 9.790 0.000 0.050 0.113
.soma_comp_0 ~~
.anxdep_comp_4 0.081 0.006 12.536 0.000 0.081 0.138
.withdep_comp_1 ~~
.anxdep_comp_4 0.066 0.005 12.424 0.000 0.066 0.143
.soma_comp_1 ~~
.anxdep_comp_4 0.079 0.007 12.075 0.000 0.079 0.133
.withdep_comp_2 ~~
.anxdep_comp_4 0.090 0.006 15.354 0.000 0.090 0.175
.soma_comp_2 ~~
.anxdep_comp_4 0.085 0.006 13.478 0.000 0.085 0.150
.withdep_comp_3 ~~
.anxdep_comp_4 0.126 0.007 19.106 0.000 0.126 0.221
.soma_comp_3 ~~
.anxdep_comp_4 0.101 0.006 15.695 0.000 0.101 0.178
.anxdep_comp_4 ~~
.withdep_comp_4 0.191 0.007 26.181 0.000 0.191 0.313
.soma_comp_4 0.151 0.007 21.572 0.000 0.151 0.250
.withdep_comp_5 0.146 0.007 19.659 0.000 0.146 0.236
.soma_comp_5 0.133 0.008 17.222 0.000 0.133 0.204
.withdep_comp_6 0.115 0.009 13.353 0.000 0.115 0.190
.soma_comp_6 0.133 0.009 14.368 0.000 0.133 0.203
.withdep_comp_0 ~~
.anxdep_comp_5 0.052 0.005 9.675 0.000 0.052 0.116
.soma_comp_0 ~~
.anxdep_comp_5 0.074 0.007 10.763 0.000 0.074 0.122
.withdep_comp_1 ~~
.anxdep_comp_5 0.069 0.006 12.286 0.000 0.069 0.146
.soma_comp_1 ~~
.anxdep_comp_5 0.082 0.007 11.916 0.000 0.082 0.136
.withdep_comp_2 ~~
.anxdep_comp_5 0.094 0.006 15.179 0.000 0.094 0.179
.soma_comp_2 ~~
.anxdep_comp_5 0.091 0.007 13.747 0.000 0.091 0.157
.withdep_comp_3 ~~
.anxdep_comp_5 0.128 0.007 18.519 0.000 0.128 0.219
.soma_comp_3 ~~
.anxdep_comp_5 0.097 0.007 14.426 0.000 0.097 0.168
.withdep_comp_4 ~~
.anxdep_comp_5 0.152 0.007 20.483 0.000 0.152 0.245
.soma_comp_4 ~~
.anxdep_comp_5 0.141 0.007 19.331 0.000 0.141 0.230
.anxdep_comp_5 ~~
.withdep_comp_5 0.211 0.008 26.681 0.000 0.211 0.335
.soma_comp_5 0.168 0.008 20.926 0.000 0.168 0.253
.withdep_comp_6 0.128 0.009 14.442 0.000 0.128 0.207
.soma_comp_6 0.141 0.010 14.727 0.000 0.141 0.210
.withdep_comp_0 ~~
.anxdep_comp_6 0.053 0.006 8.453 0.000 0.053 0.123
.soma_comp_0 ~~
.anxdep_comp_6 0.068 0.008 8.632 0.000 0.068 0.118
.withdep_comp_1 ~~
.anxdep_comp_6 0.068 0.006 10.452 0.000 0.068 0.149
.soma_comp_1 ~~
.anxdep_comp_6 0.071 0.008 8.929 0.000 0.071 0.123
.withdep_comp_2 ~~
.anxdep_comp_6 0.091 0.007 12.337 0.000 0.091 0.180
.soma_comp_2 ~~
.anxdep_comp_6 0.089 0.008 11.891 0.000 0.089 0.161
.withdep_comp_3 ~~
.anxdep_comp_6 0.124 0.008 15.686 0.000 0.124 0.223
.soma_comp_3 ~~
.anxdep_comp_6 0.080 0.008 10.521 0.000 0.080 0.144
.withdep_comp_4 ~~
.anxdep_comp_6 0.146 0.008 17.143 0.000 0.146 0.245
.soma_comp_4 ~~
.anxdep_comp_6 0.114 0.008 13.620 0.000 0.114 0.193
.withdep_comp_5 ~~
.anxdep_comp_6 0.167 0.009 19.075 0.000 0.167 0.277
.soma_comp_5 ~~
.anxdep_comp_6 0.117 0.009 13.024 0.000 0.117 0.184
.anxdep_comp_6 ~~
.withdep_comp_6 0.207 0.009 22.037 0.000 0.207 0.351
.soma_comp_6 0.162 0.010 16.687 0.000 0.162 0.252
.withdep_comp_0 ~~
.soma_comp_0 0.053 0.005 9.698 0.000 0.053 0.100
.soma_comp_1 0.053 0.006 9.562 0.000 0.053 0.101
.soma_comp_2 0.037 0.005 6.961 0.000 0.037 0.074
.soma_comp_3 0.026 0.006 4.708 0.000 0.026 0.051
.soma_comp_4 0.025 0.006 4.191 0.000 0.025 0.047
.soma_comp_5 0.008 0.007 1.213 0.225 0.008 0.014
.soma_comp_6 0.011 0.008 1.360 0.174 0.011 0.019
.soma_comp_0 ~~
.withdep_comp_1 0.037 0.006 6.499 0.000 0.037 0.067
.withdep_comp_1 ~~
.soma_comp_1 0.065 0.006 11.214 0.000 0.065 0.118
.soma_comp_2 0.049 0.006 8.755 0.000 0.049 0.093
.soma_comp_3 0.050 0.006 8.638 0.000 0.050 0.093
.soma_comp_4 0.041 0.006 6.518 0.000 0.041 0.072
.soma_comp_5 0.041 0.007 5.858 0.000 0.041 0.067
.soma_comp_6 0.025 0.009 2.962 0.003 0.025 0.041
.soma_comp_0 ~~
.withdep_comp_2 0.050 0.006 7.952 0.000 0.050 0.083
.soma_comp_1 ~~
.withdep_comp_2 0.065 0.006 10.079 0.000 0.065 0.106
.withdep_comp_2 ~~
.soma_comp_2 0.080 0.006 12.935 0.000 0.080 0.137
.soma_comp_3 0.060 0.006 9.457 0.000 0.060 0.102
.soma_comp_4 0.075 0.007 10.877 0.000 0.075 0.120
.soma_comp_5 0.064 0.008 8.265 0.000 0.064 0.094
.soma_comp_6 0.045 0.010 4.640 0.000 0.045 0.066
.soma_comp_0 ~~
.withdep_comp_3 0.065 0.007 9.151 0.000 0.065 0.096
.soma_comp_1 ~~
.withdep_comp_3 0.059 0.007 8.141 0.000 0.059 0.086
.soma_comp_2 ~~
.withdep_comp_3 0.066 0.007 9.566 0.000 0.066 0.101
.withdep_comp_3 ~~
.soma_comp_3 0.086 0.007 12.203 0.000 0.086 0.131
.soma_comp_4 0.103 0.008 13.388 0.000 0.103 0.148
.soma_comp_5 0.101 0.009 11.832 0.000 0.101 0.135
.soma_comp_6 0.100 0.010 9.562 0.000 0.100 0.132
.soma_comp_0 ~~
.withdep_comp_4 0.056 0.008 7.182 0.000 0.056 0.077
.soma_comp_1 ~~
.withdep_comp_4 0.068 0.008 8.726 0.000 0.068 0.093
.soma_comp_2 ~~
.withdep_comp_4 0.067 0.008 8.930 0.000 0.067 0.097
.soma_comp_3 ~~
.withdep_comp_4 0.086 0.008 11.205 0.000 0.086 0.123
.withdep_comp_4 ~~
.soma_comp_4 0.136 0.008 16.484 0.000 0.136 0.184
.soma_comp_5 0.109 0.009 11.859 0.000 0.109 0.136
.soma_comp_6 0.123 0.011 11.012 0.000 0.123 0.152
.soma_comp_0 ~~
.withdep_comp_5 0.050 0.008 6.081 0.000 0.050 0.068
.soma_comp_1 ~~
.withdep_comp_5 0.062 0.008 7.492 0.000 0.062 0.083
.soma_comp_2 ~~
.withdep_comp_5 0.061 0.008 7.762 0.000 0.061 0.086
.soma_comp_3 ~~
.withdep_comp_5 0.079 0.008 9.810 0.000 0.079 0.111
.soma_comp_4 ~~
.withdep_comp_5 0.117 0.009 13.555 0.000 0.117 0.156
.withdep_comp_5 ~~
.soma_comp_5 0.160 0.009 16.889 0.000 0.160 0.197
.soma_comp_6 0.138 0.012 11.987 0.000 0.138 0.168
.soma_comp_0 ~~
.withdep_comp_6 0.056 0.010 5.752 0.000 0.056 0.077
.soma_comp_1 ~~
.withdep_comp_6 0.043 0.010 4.388 0.000 0.043 0.060
.soma_comp_2 ~~
.withdep_comp_6 0.045 0.009 4.846 0.000 0.045 0.065
.soma_comp_3 ~~
.withdep_comp_6 0.053 0.009 5.727 0.000 0.053 0.077
.soma_comp_4 ~~
.withdep_comp_6 0.080 0.010 7.892 0.000 0.080 0.109
.soma_comp_5 ~~
.withdep_comp_6 0.095 0.011 8.607 0.000 0.095 0.119
.withdep_comp_6 ~~
.soma_comp_6 0.157 0.012 13.341 0.000 0.157 0.196
.rulebreak_comp_0 ~~
.aggress_comp_0 0.242 0.006 39.239 0.000 0.242 0.474
.aggress_comp_1 0.188 0.006 32.546 0.000 0.188 0.380
.aggress_comp_2 0.176 0.006 31.007 0.000 0.176 0.364
.aggress_comp_3 0.153 0.006 26.990 0.000 0.153 0.322
.aggress_comp_4 0.142 0.005 25.953 0.000 0.142 0.319
.aggress_comp_5 0.145 0.006 25.844 0.000 0.145 0.326
.aggress_comp_6 0.120 0.006 19.694 0.000 0.120 0.294
.aggress_comp_0 ~~
.rulebrek_cmp_1 0.197 0.006 33.483 0.000 0.197 0.389
.rulebreak_comp_1 ~~
.aggress_comp_1 0.234 0.006 38.413 0.000 0.234 0.476
.aggress_comp_2 0.184 0.006 32.232 0.000 0.184 0.383
.aggress_comp_3 0.167 0.006 29.202 0.000 0.167 0.353
.aggress_comp_4 0.156 0.005 28.349 0.000 0.156 0.352
.aggress_comp_5 0.146 0.006 26.086 0.000 0.146 0.331
.aggress_comp_6 0.132 0.006 21.420 0.000 0.132 0.326
.aggress_comp_0 ~~
.rulebrek_cmp_2 0.172 0.006 29.523 0.000 0.172 0.341
.aggress_comp_1 ~~
.rulebrek_cmp_2 0.175 0.006 30.388 0.000 0.175 0.358
.rulebreak_comp_2 ~~
.aggress_comp_2 0.237 0.006 39.077 0.000 0.237 0.496
.aggress_comp_3 0.180 0.006 31.052 0.000 0.180 0.383
.aggress_comp_4 0.154 0.006 27.967 0.000 0.154 0.350
.aggress_comp_5 0.154 0.006 27.460 0.000 0.154 0.351
.aggress_comp_6 0.147 0.006 23.970 0.000 0.147 0.365
.aggress_comp_0 ~~
.rulebrek_cmp_3 0.168 0.006 28.089 0.000 0.168 0.329
.aggress_comp_1 ~~
.rulebrek_cmp_3 0.172 0.006 29.160 0.000 0.172 0.347
.aggress_comp_2 ~~
.rulebrek_cmp_3 0.187 0.006 31.818 0.000 0.187 0.388
.rulebreak_comp_3 ~~
.aggress_comp_3 0.241 0.006 38.530 0.000 0.241 0.507
.aggress_comp_4 0.174 0.006 30.856 0.000 0.174 0.393
.aggress_comp_5 0.165 0.006 28.615 0.000 0.165 0.371
.aggress_comp_6 0.159 0.006 26.251 0.000 0.159 0.393
.aggress_comp_0 ~~
.rulebrek_cmp_4 0.177 0.006 27.452 0.000 0.177 0.325
.aggress_comp_1 ~~
.rulebrek_cmp_4 0.182 0.006 28.728 0.000 0.182 0.345
.aggress_comp_2 ~~
.rulebrek_cmp_4 0.183 0.006 29.242 0.000 0.183 0.355
.aggress_comp_3 ~~
.rulebrek_cmp_4 0.198 0.006 31.015 0.000 0.198 0.391
.rulebreak_comp_4 ~~
.aggress_comp_4 0.246 0.006 38.231 0.000 0.246 0.519
.aggress_comp_5 0.205 0.006 32.348 0.000 0.205 0.432
.aggress_comp_6 0.174 0.007 26.247 0.000 0.174 0.403
.aggress_comp_0 ~~
.rulebrek_cmp_5 0.191 0.007 26.681 0.000 0.191 0.323
.aggress_comp_1 ~~
.rulebrek_cmp_5 0.182 0.007 25.997 0.000 0.182 0.317
.aggress_comp_2 ~~
.rulebrek_cmp_5 0.205 0.007 29.471 0.000 0.205 0.366
.aggress_comp_3 ~~
.rulebrek_cmp_5 0.202 0.007 28.817 0.000 0.202 0.368
.aggress_comp_4 ~~
.rulebrek_cmp_5 0.217 0.007 32.131 0.000 0.217 0.422
.rulebreak_comp_5 ~~
.aggress_comp_5 0.288 0.007 39.360 0.000 0.288 0.558
.aggress_comp_6 0.224 0.007 30.309 0.000 0.224 0.477
.aggress_comp_0 ~~
.rulebrek_cmp_6 0.165 0.008 21.159 0.000 0.165 0.298
.aggress_comp_1 ~~
.rulebrek_cmp_6 0.153 0.008 19.914 0.000 0.153 0.285
.aggress_comp_2 ~~
.rulebrek_cmp_6 0.178 0.008 23.578 0.000 0.178 0.338
.aggress_comp_3 ~~
.rulebrek_cmp_6 0.184 0.007 24.669 0.000 0.184 0.357
.aggress_comp_4 ~~
.rulebrek_cmp_6 0.202 0.007 27.807 0.000 0.202 0.418
.aggress_comp_5 ~~
.rulebrek_cmp_6 0.224 0.007 29.828 0.000 0.224 0.462
.rulebreak_comp_6 ~~
.aggress_comp_6 0.247 0.008 31.709 0.000 0.247 0.559
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_etaB 0.000 0.000 0.000
p_eta1 0.000 0.000 0.000
p_eta2 0.000 0.000 0.000
p_eta3 0.000 0.000 0.000
p_eta4 0.000 0.000 0.000
.anxd__0 (t_X0) 0.052 0.009 5.471 0.000 0.052 0.050
.anxd__1 (t_X1) 0.060 0.010 6.229 0.000 0.060 0.058
.anxd__2 (t_X2) -0.015 0.009 -1.585 0.113 -0.015 -0.015
.anxd__3 (t_X3) -0.004 0.010 -0.397 0.691 -0.004 -0.004
.anxd__4 (t_X4) -0.034 0.010 -3.510 0.000 -0.034 -0.034
.anxd__5 (t_X5) 0.004 0.010 0.344 0.731 0.004 0.003
.anxd__6 (t_X6) -0.107 0.011 -9.541 0.000 -0.107 -0.113
.wthd__0 (t_W0) -0.155 0.008 -18.476 0.000 -0.155 -0.170
.wthd__1 (t_W1) -0.112 0.009 -13.007 0.000 -0.112 -0.121
.wthd__2 (t_W2) -0.046 0.009 -5.021 0.000 -0.046 -0.047
.wthd__3 (t_W3) 0.062 0.010 6.227 0.000 0.062 0.060
.wthd__4 (t_W4) 0.121 0.011 11.475 0.000 0.121 0.113
.wthd__5 (t_W5) 0.209 0.011 19.084 0.000 0.209 0.192
.wthd__6 (t_W6) 0.101 0.013 8.029 0.000 0.101 0.098
.sm_cm_0 (t_S0) 0.031 0.009 3.329 0.001 0.031 0.031
.sm_cm_1 (t_S1) 0.012 0.009 1.251 0.211 0.012 0.012
.sm_cm_2 (t_S2) -0.033 0.009 -3.585 0.000 -0.033 -0.034
.sm_cm_3 (t_S3) -0.036 0.009 -3.843 0.000 -0.036 -0.037
.sm_cm_4 (t_S4) -0.013 0.010 -1.306 0.192 -0.013 -0.013
.sm_cm_5 (t_S5) 0.065 0.011 5.966 0.000 0.065 0.061
.sm_cm_6 (t_S6) 0.030 0.013 2.309 0.021 0.030 0.028
.scpr__0 (t_P0) 0.167 0.010 17.363 0.000 0.167 0.160
.scpr__1 (t_P1) 0.113 0.010 11.864 0.000 0.113 0.110
.scpr__2 (t_P2) 0.026 0.009 2.782 0.005 0.026 0.026
.scpr__3 (t_P3) -0.025 0.009 -2.634 0.008 -0.025 -0.025
.scpr__4 (t_P4) -0.087 0.009 -9.258 0.000 -0.087 -0.090
.scpr__5 (t_P5) -0.103 0.010 -10.653 0.000 -0.103 -0.106
.scpr__6 (t_P6) -0.187 0.010 -18.195 0.000 -0.187 -0.214
.thpr__0 (t_H0) 0.078 0.010 8.173 0.000 0.078 0.075
.thpr__1 (t_H1) 0.078 0.010 8.125 0.000 0.078 0.076
.thpr__2 (t_H2) -0.003 0.009 -0.345 0.730 -0.003 -0.003
.thpr__3 (t_H3) -0.017 0.009 -1.838 0.066 -0.017 -0.018
.thpr__4 (t_H4) -0.056 0.009 -5.904 0.000 -0.056 -0.058
.thpr__5 (t_H5) -0.008 0.010 -0.778 0.437 -0.008 -0.008
.thpr__6 (t_H6) -0.128 0.011 -11.953 0.000 -0.128 -0.143
.attp__0 (t_A0) 0.075 0.009 8.103 0.000 0.075 0.074
.attp__1 (t_A1) 0.045 0.009 4.881 0.000 0.045 0.045
.attp__2 (t_A2) 0.007 0.009 0.799 0.424 0.007 0.007
.attp__3 (t_A3) 0.031 0.009 3.347 0.001 0.031 0.032
.attp__4 (t_A4) -0.038 0.009 -4.141 0.000 -0.038 -0.040
.attp__5 (t_A5) -0.028 0.009 -2.948 0.003 -0.028 -0.029
.attp__6 (t_A6) -0.116 0.010 -11.316 0.000 -0.116 -0.131
.rlbr__0 (t_R0) 0.052 0.009 5.605 0.000 0.052 0.051
.rlbr__1 (t_R1) 0.020 0.009 2.154 0.031 0.020 0.020
.rlbr__2 (t_R2) -0.010 0.009 -1.041 0.298 -0.010 -0.010
.rlbr__3 (t_R3) -0.001 0.009 -0.122 0.903 -0.001 -0.001
.rlbr__4 (t_R4) 0.001 0.010 0.054 0.957 0.001 0.001
.rlbr__5 (t_R5) 0.058 0.011 5.369 0.000 0.058 0.054
.rlbr__6 (t_R6) -0.024 0.012 -2.008 0.045 -0.024 -0.024
.aggr__0 (t_G0) 0.118 0.010 12.226 0.000 0.118 0.112
.aggr__1 (t_G1) 0.071 0.010 7.410 0.000 0.071 0.069
.aggr__2 (t_G2) 0.022 0.009 2.352 0.019 0.022 0.022
.aggr__3 (t_G3) 0.029 0.009 3.097 0.002 0.029 0.029
.aggr__4 (t_G4) -0.061 0.009 -6.536 0.000 -0.061 -0.063
.aggr__5 (t_G5) -0.063 0.010 -6.510 0.000 -0.063 -0.065
.aggr__6 (t_G6) -0.175 0.010 -17.310 0.000 -0.175 -0.199
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_etaB 0.556 0.010 56.921 0.000 1.000 1.000
p_eta1 0.537 0.010 55.923 0.000 1.000 1.000
p_eta2 0.514 0.009 55.262 0.000 1.000 1.000
p_eta3 0.518 0.010 54.099 0.000 1.000 1.000
p_eta4 0.503 0.010 52.898 0.000 1.000 1.000
p_eta5 0.526 0.010 51.481 0.000 1.000 1.000
p_eta6 0.419 0.010 43.324 0.000 1.000 1.000
.anxdep_comp_0 0.512 0.008 66.510 0.000 0.512 0.480
.withdep_comp_0 0.396 0.006 66.327 0.000 0.396 0.475
.soma_comp_0 0.700 0.010 72.568 0.000 0.700 0.698
.socprob_comp_0 0.414 0.007 61.037 0.000 0.414 0.376
.thouprob_cmp_0 0.404 0.007 61.840 0.000 0.404 0.372
.attprob_comp_0 0.453 0.007 65.330 0.000 0.453 0.450
.rulebrek_cmp_0 0.558 0.008 69.125 0.000 0.558 0.553
.aggress_comp_0 0.466 0.007 64.237 0.000 0.466 0.424
.anxdep_comp_1 0.528 0.008 65.642 0.000 0.528 0.496
.withdep_comp_1 0.435 0.007 66.025 0.000 0.435 0.507
.soma_comp_1 0.707 0.010 70.967 0.000 0.707 0.707
.socprob_comp_1 0.386 0.007 59.081 0.000 0.386 0.368
.thouprob_cmp_1 0.414 0.007 60.771 0.000 0.414 0.386
.attprob_comp_1 0.445 0.007 64.112 0.000 0.445 0.454
.rulebrek_cmp_1 0.552 0.008 67.267 0.000 0.552 0.559
.aggress_comp_1 0.440 0.007 62.701 0.000 0.440 0.419
.anxdep_comp_2 0.504 0.008 64.960 0.000 0.504 0.495
.withdep_comp_2 0.534 0.008 67.027 0.000 0.534 0.568
.soma_comp_2 0.647 0.009 69.694 0.000 0.647 0.697
.socprob_comp_2 0.350 0.006 57.602 0.000 0.350 0.356
.thouprob_cmp_2 0.367 0.006 58.687 0.000 0.367 0.368
.attprob_comp_2 0.418 0.007 63.220 0.000 0.418 0.449
.rulebrek_cmp_2 0.545 0.008 66.128 0.000 0.545 0.567
.aggress_comp_2 0.419 0.007 61.655 0.000 0.419 0.417
.anxdep_comp_3 0.528 0.008 63.695 0.000 0.528 0.505
.withdep_comp_3 0.658 0.010 66.346 0.000 0.658 0.617
.soma_comp_3 0.650 0.010 67.668 0.000 0.650 0.697
.socprob_comp_3 0.319 0.006 55.277 0.000 0.319 0.333
.thouprob_cmp_3 0.340 0.006 56.120 0.000 0.340 0.349
.attprob_comp_3 0.413 0.007 61.775 0.000 0.413 0.444
.rulebrek_cmp_3 0.556 0.009 63.663 0.000 0.556 0.570
.aggress_comp_3 0.405 0.007 59.823 0.000 0.405 0.408
.anxdep_comp_4 0.496 0.008 61.591 0.000 0.496 0.496
.withdep_comp_4 0.747 0.012 64.482 0.000 0.747 0.653
.soma_comp_4 0.733 0.011 65.924 0.000 0.733 0.727
.socprob_comp_4 0.303 0.006 53.483 0.000 0.303 0.328
.thouprob_cmp_4 0.320 0.006 53.855 0.000 0.320 0.341
.attprob_comp_4 0.378 0.006 59.310 0.000 0.378 0.429
.rulebrek_cmp_4 0.633 0.010 62.732 0.000 0.633 0.608
.aggress_comp_4 0.354 0.006 57.143 0.000 0.354 0.382
.anxdep_comp_5 0.516 0.009 59.167 0.000 0.516 0.495
.withdep_comp_5 0.770 0.012 61.879 0.000 0.770 0.650
.soma_comp_5 0.859 0.014 63.295 0.000 0.859 0.749
.socprob_comp_5 0.294 0.006 50.338 0.000 0.294 0.312
.thouprob_cmp_5 0.366 0.007 52.762 0.000 0.366 0.362
.attprob_comp_5 0.391 0.007 57.388 0.000 0.391 0.427
.rulebrek_cmp_5 0.748 0.012 61.347 0.000 0.748 0.637
.aggress_comp_5 0.356 0.006 54.805 0.000 0.356 0.373
.anxdep_comp_6 0.474 0.010 47.082 0.000 0.474 0.530
.withdep_comp_6 0.735 0.015 48.458 0.000 0.735 0.689
.soma_comp_6 0.873 0.017 50.250 0.000 0.873 0.792
.socprob_comp_6 0.252 0.006 39.054 0.000 0.252 0.327
.thouprob_cmp_6 0.295 0.007 40.130 0.000 0.295 0.364
.attprob_comp_6 0.368 0.008 46.573 0.000 0.368 0.468
.rulebrek_cmp_6 0.658 0.013 49.063 0.000 0.658 0.659
.aggress_comp_6 0.295 0.007 43.290 0.000 0.295 0.383
R-Square:
Estimate
anxdep_comp_0 0.520
withdep_comp_0 0.525
soma_comp_0 0.302
socprob_comp_0 0.624
thouprob_cmp_0 0.628
attprob_comp_0 0.550
rulebrek_cmp_0 0.447
aggress_comp_0 0.576
anxdep_comp_1 0.504
withdep_comp_1 0.493
soma_comp_1 0.293
socprob_comp_1 0.632
thouprob_cmp_1 0.614
attprob_comp_1 0.546
rulebrek_cmp_1 0.441
aggress_comp_1 0.581
anxdep_comp_2 0.505
withdep_comp_2 0.432
soma_comp_2 0.303
socprob_comp_2 0.644
thouprob_cmp_2 0.632
attprob_comp_2 0.551
rulebrek_cmp_2 0.433
aggress_comp_2 0.583
anxdep_comp_3 0.495
withdep_comp_3 0.383
soma_comp_3 0.303
socprob_comp_3 0.667
thouprob_cmp_3 0.651
attprob_comp_3 0.556
rulebrek_cmp_3 0.430
aggress_comp_3 0.592
anxdep_comp_4 0.504
withdep_comp_4 0.347
soma_comp_4 0.273
socprob_comp_4 0.672
thouprob_cmp_4 0.659
attprob_comp_4 0.571
rulebrek_cmp_4 0.392
aggress_comp_4 0.618
anxdep_comp_5 0.505
withdep_comp_5 0.350
soma_comp_5 0.251
socprob_comp_5 0.688
thouprob_cmp_5 0.638
attprob_comp_5 0.573
rulebrek_cmp_5 0.363
aggress_comp_5 0.627
anxdep_comp_6 0.470
withdep_comp_6 0.311
soma_comp_6 0.208
socprob_comp_6 0.673
thouprob_cmp_6 0.636
attprob_comp_6 0.532
rulebrek_cmp_6 0.341
aggress_comp_6 0.617
Strong invariance model
model fit
pc.7t.strong.invar <- "#factor loadings (with constraints)
p_etaB =~ 1*anxdep_comp_0+
lambda_W*withdep_comp_0+
lambda_S*soma_comp_0+
lambda_C*socprob_comp_0+
lambda_H*thouprob_comp_0+
lambda_A*attprob_comp_0+
lambda_R*rulebreak_comp_0+
lambda_G*aggress_comp_0
p_eta1 =~ 1*anxdep_comp_1+
lambda_W*withdep_comp_1+
lambda_S*soma_comp_1+
lambda_C*socprob_comp_1+
lambda_H*thouprob_comp_1+
lambda_A*attprob_comp_1+
lambda_R*rulebreak_comp_1+
lambda_G*aggress_comp_1
p_eta2 =~ 1*anxdep_comp_2+
lambda_W*withdep_comp_2+
lambda_S*soma_comp_2+
lambda_C*socprob_comp_2+
lambda_H*thouprob_comp_2+
lambda_A*attprob_comp_2+
lambda_R*rulebreak_comp_2+
lambda_G*aggress_comp_2
p_eta3 =~ 1*anxdep_comp_3+
lambda_W*withdep_comp_3+
lambda_S*soma_comp_3+
lambda_C*socprob_comp_3+
lambda_H*thouprob_comp_3+
lambda_A*attprob_comp_3+
lambda_R*rulebreak_comp_3+
lambda_G*aggress_comp_3
p_eta4 =~ 1*anxdep_comp_4+
lambda_W*withdep_comp_4+
lambda_S*soma_comp_4+
lambda_C*socprob_comp_4+
lambda_H*thouprob_comp_4+
lambda_A*attprob_comp_4+
lambda_R*rulebreak_comp_4+
lambda_G*aggress_comp_4
p_eta5 =~ 1*anxdep_comp_5+
lambda_W*withdep_comp_5+
lambda_S*soma_comp_5+
lambda_C*socprob_comp_5+
lambda_H*thouprob_comp_5+
lambda_A*attprob_comp_5+
lambda_R*rulebreak_comp_5+
lambda_G*aggress_comp_5
p_eta6 =~ 1*anxdep_comp_6+
lambda_W*withdep_comp_6+
lambda_S*soma_comp_6+
lambda_C*socprob_comp_6+
lambda_H*thouprob_comp_6+
lambda_A*attprob_comp_6+
lambda_R*rulebreak_comp_6+
lambda_G*aggress_comp_6
#latent variable variances
p_etaB~~NA*p_etaB
p_eta1~~NA*p_eta1
p_eta2~~NA*p_eta2
p_eta3~~NA*p_eta3
p_eta4~~NA*p_eta4
p_eta5~~NA*p_eta5
p_eta6~~NA*p_eta6
#latent variable covariances
p_etaB~~p_eta1 + p_eta2 + p_eta3 + p_eta4 + p_eta5 + p_eta6
p_eta1~~p_eta2 + p_eta3 + p_eta4 + p_eta5 + p_eta6
p_eta2~~p_eta3 + p_eta4 + p_eta5 + p_eta6
p_eta3~~p_eta4 + p_eta5 + p_eta6
p_eta4~~p_eta5 + p_eta6
p_eta5~~p_eta6
#unique variances # No need to constrict these
anxdep_comp_0~~anxdep_comp_0
withdep_comp_0~~withdep_comp_0
soma_comp_0~~soma_comp_0
socprob_comp_0~~socprob_comp_0
thouprob_comp_0~~thouprob_comp_0
attprob_comp_0~~attprob_comp_0
rulebreak_comp_0~~rulebreak_comp_0
aggress_comp_0~~aggress_comp_0
anxdep_comp_1~~anxdep_comp_1
withdep_comp_1~~withdep_comp_1
soma_comp_1~~soma_comp_1
socprob_comp_1~~socprob_comp_1
thouprob_comp_1~~thouprob_comp_1
attprob_comp_1~~attprob_comp_1
rulebreak_comp_1~~rulebreak_comp_1
aggress_comp_1~~aggress_comp_1
anxdep_comp_2~~anxdep_comp_2
withdep_comp_2~~withdep_comp_2
soma_comp_2~~soma_comp_2
socprob_comp_2~~socprob_comp_2
thouprob_comp_2~~thouprob_comp_2
attprob_comp_2~~attprob_comp_2
rulebreak_comp_2~~rulebreak_comp_2
aggress_comp_2~~aggress_comp_2
anxdep_comp_3~~anxdep_comp_3
withdep_comp_3~~withdep_comp_3
soma_comp_3~~soma_comp_3
socprob_comp_3~~socprob_comp_3
thouprob_comp_3~~thouprob_comp_3
attprob_comp_3~~attprob_comp_3
rulebreak_comp_3~~rulebreak_comp_3
aggress_comp_3~~aggress_comp_3
anxdep_comp_4~~anxdep_comp_4
withdep_comp_4~~withdep_comp_4
soma_comp_4~~soma_comp_4
socprob_comp_4~~socprob_comp_4
thouprob_comp_4~~thouprob_comp_4
attprob_comp_4~~attprob_comp_4
rulebreak_comp_4~~rulebreak_comp_4
aggress_comp_4~~aggress_comp_4
anxdep_comp_5~~anxdep_comp_5
withdep_comp_5~~withdep_comp_5
soma_comp_5~~soma_comp_5
socprob_comp_5~~socprob_comp_5
thouprob_comp_5~~thouprob_comp_5
attprob_comp_5~~attprob_comp_5
rulebreak_comp_5~~rulebreak_comp_5
aggress_comp_5~~aggress_comp_5
anxdep_comp_6~~anxdep_comp_6
withdep_comp_6~~withdep_comp_6
soma_comp_6~~soma_comp_6
socprob_comp_6~~socprob_comp_6
thouprob_comp_6~~thouprob_comp_6
attprob_comp_6~~attprob_comp_6
rulebreak_comp_6~~rulebreak_comp_6
aggress_comp_6~~aggress_comp_6
#unique covariances
# Scores arcoss times
anxdep_comp_0~~anxdep_comp_1 + anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_1~~anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_2~~anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_3~~anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_4~~anxdep_comp_5+ anxdep_comp_6
anxdep_comp_5~~anxdep_comp_6
withdep_comp_0~~withdep_comp_1 + withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_1~~withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_2~~withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_3~~withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_4~~withdep_comp_5 + withdep_comp_6
withdep_comp_5~~withdep_comp_6
soma_comp_0~~soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_1~~soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_2~~soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_3~~soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_4~~soma_comp_5 + soma_comp_6
soma_comp_5~~soma_comp_6
socprob_comp_0~~socprob_comp_1 + socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_1~~socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_2~~socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_3~~socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_4~~socprob_comp_5 + socprob_comp_6
socprob_comp_5~~socprob_comp_6
thouprob_comp_0~~thouprob_comp_1 + thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_1~~thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_2~~thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_3~~thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_4~~thouprob_comp_5 + thouprob_comp_6
thouprob_comp_5~~thouprob_comp_6
attprob_comp_0~~attprob_comp_1 + attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_1~~attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_2~~attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_3~~attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_4~~attprob_comp_5 + attprob_comp_6
attprob_comp_5~~attprob_comp_6
rulebreak_comp_0~~rulebreak_comp_1 + rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_1~~rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_2~~rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_3~~rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_4~~rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_5~~rulebreak_comp_6
aggress_comp_0~~aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_1~~aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_2~~aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_3~~aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_4~~aggress_comp_5 + aggress_comp_6
aggress_comp_5~~aggress_comp_6
# Internalizeing subscale covariances
anxdep_comp_0~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_1~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_2~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_3~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_4~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_5~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_6~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
withdep_comp_0~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_1~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_2~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_3~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_4~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_5~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_6~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
# Externalizeing subscale covariances
rulebreak_comp_0~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_1~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_2~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_3~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_4~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_5~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_6~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
#latent variable intercepts
p_etaB~0*1
p_eta1~m1*1
p_eta2~m2*1
p_eta3~m3*1
p_eta4~m4*1
#observed variable intercepts
anxdep_comp_0~tau_X*1
anxdep_comp_1~tau_X*1
anxdep_comp_2~tau_X*1
anxdep_comp_3~tau_X*1
anxdep_comp_4~tau_X*1
anxdep_comp_5~tau_X*1
anxdep_comp_6~tau_X*1
withdep_comp_0~tau_W*1
withdep_comp_1~tau_W*1
withdep_comp_2~tau_W*1
withdep_comp_3~tau_W*1
withdep_comp_4~tau_W*1
withdep_comp_5~tau_W*1
withdep_comp_6~tau_W*1
soma_comp_0~tau_S*1
soma_comp_1~tau_S*1
soma_comp_2~tau_S*1
soma_comp_3~tau_S*1
soma_comp_4~tau_S*1
soma_comp_5~tau_S*1
soma_comp_6~tau_S*1
socprob_comp_0~tau_P*1
socprob_comp_1~tau_P*1
socprob_comp_2~tau_P*1
socprob_comp_3~tau_P*1
socprob_comp_4~tau_P*1
socprob_comp_5~tau_P*1
socprob_comp_6~tau_P*1
thouprob_comp_0~tau_H*1
thouprob_comp_1~tau_H*1
thouprob_comp_2~tau_H*1
thouprob_comp_3~tau_H*1
thouprob_comp_4~tau_H*1
thouprob_comp_5~tau_H*1
thouprob_comp_6~tau_H*1
attprob_comp_0~tau_A*1
attprob_comp_1~tau_A*1
attprob_comp_2~tau_A*1
attprob_comp_3~tau_A*1
attprob_comp_4~tau_A*1
attprob_comp_5~tau_A*1
attprob_comp_6~tau_A*1
rulebreak_comp_0~tau_R*1
rulebreak_comp_1~tau_R*1
rulebreak_comp_2~tau_R*1
rulebreak_comp_3~tau_R*1
rulebreak_comp_4~tau_R*1
rulebreak_comp_5~tau_R*1
rulebreak_comp_6~tau_R*1
aggress_comp_0~tau_G*1
aggress_comp_1~tau_G*1
aggress_comp_2~tau_G*1
aggress_comp_3~tau_G*1
aggress_comp_4~tau_G*1
aggress_comp_5~tau_G*1
aggress_comp_6~tau_G*1"
lavaan(pc.7t.strong.invar,
data = pc_factor_nolow_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("pc_7t_strong.rds")result
readRDS("pc_7t_strong.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pc_7t_strong_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pc_7t_strong.rds"), "cor.lv"))$value[1] 5.1908137 0.6736510 0.3232608 0.2475101 0.2026245 0.1922557 0.1698843
readRDS("pc_7t_strong_result.rds")lavaan 0.6-19 ended normally after 229 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 557
Number of equality constraints 90
Used Total
Number of observations 11865 11867
Number of missing patterns 82
Model Test User Model:
Test statistic 17037.322
Degrees of freedom 1185
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 510459.918
Degrees of freedom 1540
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.969
Tucker-Lewis Index (TLI) 0.960
Robust Comparative Fit Index (CFI) 0.968
Robust Tucker-Lewis Index (TLI) 0.958
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -511266.262
Loglikelihood unrestricted model (H1) -502747.601
Akaike (AIC) 1023466.523
Bayesian (BIC) 1026913.613
Sample-size adjusted Bayesian (SABIC) 1025429.541
Root Mean Square Error of Approximation:
RMSEA 0.034
90 Percent confidence interval - lower 0.033
90 Percent confidence interval - upper 0.034
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.039
90 Percent confidence interval - lower 0.038
90 Percent confidence interval - upper 0.039
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.061
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_etaB =~
anxd__0 1.000 0.751 0.723
wthd__0 (lm_W) 0.864 0.006 140.690 0.000 0.649 0.712
sm_cm_0 (lm_S) 0.735 0.007 110.208 0.000 0.552 0.550
scpr__0 (lm_C) 1.118 0.007 153.098 0.000 0.839 0.790
thpr__0 (lm_H) 1.109 0.007 152.174 0.000 0.833 0.796
attp__0 (lm_A) 0.998 0.007 142.385 0.000 0.750 0.745
rlbr__0 (lm_R) 0.860 0.007 119.974 0.000 0.645 0.681
aggr__0 (lm_G) 1.067 0.007 146.415 0.000 0.801 0.759
p_eta1 =~
anxd__1 1.000 0.734 0.709
wthd__1 (lm_W) 0.864 0.006 140.690 0.000 0.634 0.691
sm_cm_1 (lm_S) 0.735 0.007 110.208 0.000 0.539 0.540
scpr__1 (lm_C) 1.118 0.007 153.098 0.000 0.820 0.796
thpr__1 (lm_H) 1.109 0.007 152.174 0.000 0.814 0.784
attp__1 (lm_A) 0.998 0.007 142.385 0.000 0.733 0.740
rlbr__1 (lm_R) 0.860 0.007 119.974 0.000 0.631 0.673
aggr__1 (lm_G) 1.067 0.007 146.415 0.000 0.783 0.763
p_eta2 =~
anxd__2 1.000 0.717 0.710
wthd__2 (lm_W) 0.864 0.006 140.690 0.000 0.619 0.645
sm_cm_2 (lm_S) 0.735 0.007 110.208 0.000 0.527 0.548
scpr__2 (lm_C) 1.118 0.007 153.098 0.000 0.801 0.805
thpr__2 (lm_H) 1.109 0.007 152.174 0.000 0.795 0.796
attp__2 (lm_A) 0.998 0.007 142.385 0.000 0.716 0.742
rlbr__2 (lm_R) 0.860 0.007 119.974 0.000 0.616 0.657
aggr__2 (lm_G) 1.067 0.007 146.415 0.000 0.765 0.763
p_eta3 =~
anxd__3 1.000 0.719 0.703
wthd__3 (lm_W) 0.864 0.006 140.690 0.000 0.621 0.600
sm_cm_3 (lm_S) 0.735 0.007 110.208 0.000 0.528 0.548
scpr__3 (lm_C) 1.118 0.007 153.098 0.000 0.803 0.818
thpr__3 (lm_H) 1.109 0.007 152.174 0.000 0.797 0.807
attp__3 (lm_A) 0.998 0.007 142.385 0.000 0.717 0.744
rlbr__3 (lm_R) 0.860 0.007 119.974 0.000 0.618 0.648
aggr__3 (lm_G) 1.067 0.007 146.415 0.000 0.767 0.768
p_eta4 =~
anxd__4 1.000 0.707 0.708
wthd__4 (lm_W) 0.864 0.006 140.690 0.000 0.611 0.559
sm_cm_4 (lm_S) 0.735 0.007 110.208 0.000 0.520 0.518
scpr__4 (lm_C) 1.118 0.007 153.098 0.000 0.791 0.821
thpr__4 (lm_H) 1.109 0.007 152.174 0.000 0.785 0.811
attp__4 (lm_A) 0.998 0.007 142.385 0.000 0.706 0.754
rlbr__4 (lm_R) 0.860 0.007 119.974 0.000 0.608 0.586
aggr__4 (lm_G) 1.067 0.007 146.415 0.000 0.755 0.785
p_eta5 =~
anxd__5 1.000 0.721 0.706
wthd__5 (lm_W) 0.864 0.006 140.690 0.000 0.623 0.550
sm_cm_5 (lm_S) 0.735 0.007 110.208 0.000 0.530 0.493
scpr__5 (lm_C) 1.118 0.007 153.098 0.000 0.806 0.828
thpr__5 (lm_H) 1.109 0.007 152.174 0.000 0.800 0.796
attp__5 (lm_A) 0.998 0.007 142.385 0.000 0.720 0.754
rlbr__5 (lm_R) 0.860 0.007 119.974 0.000 0.620 0.534
aggr__5 (lm_G) 1.067 0.007 146.415 0.000 0.770 0.790
p_eta6 =~
anxd__6 1.000 0.659 0.692
wthd__6 (lm_W) 0.864 0.006 140.690 0.000 0.569 0.530
sm_cm_6 (lm_S) 0.735 0.007 110.208 0.000 0.484 0.456
scpr__6 (lm_C) 1.118 0.007 153.098 0.000 0.736 0.823
thpr__6 (lm_H) 1.109 0.007 152.174 0.000 0.731 0.803
attp__6 (lm_A) 0.998 0.007 142.385 0.000 0.658 0.735
rlbr__6 (lm_R) 0.860 0.007 119.974 0.000 0.566 0.491
aggr__6 (lm_G) 1.067 0.007 146.415 0.000 0.703 0.789
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_etaB ~~
p_eta1 0.432 0.008 51.402 0.000 0.784 0.784
p_eta2 0.383 0.008 48.619 0.000 0.711 0.711
p_eta3 0.357 0.008 46.358 0.000 0.662 0.662
p_eta4 0.327 0.007 43.923 0.000 0.617 0.617
p_eta5 0.320 0.008 42.110 0.000 0.590 0.590
p_eta6 0.264 0.008 34.915 0.000 0.534 0.534
p_eta1 ~~
p_eta2 0.403 0.008 50.344 0.000 0.767 0.767
p_eta3 0.381 0.008 48.483 0.000 0.723 0.723
p_eta4 0.348 0.008 45.983 0.000 0.670 0.670
p_eta5 0.341 0.008 44.288 0.000 0.645 0.645
p_eta6 0.286 0.008 37.228 0.000 0.592 0.592
p_eta2 ~~
p_eta3 0.403 0.008 50.072 0.000 0.782 0.782
p_eta4 0.359 0.008 47.083 0.000 0.707 0.707
p_eta5 0.349 0.008 45.263 0.000 0.675 0.675
p_eta6 0.296 0.008 38.798 0.000 0.627 0.627
p_eta3 ~~
p_eta4 0.393 0.008 48.797 0.000 0.773 0.773
p_eta5 0.382 0.008 46.916 0.000 0.737 0.737
p_eta6 0.321 0.008 40.400 0.000 0.677 0.677
p_eta4 ~~
p_eta5 0.407 0.008 48.373 0.000 0.798 0.798
p_eta6 0.340 0.008 41.838 0.000 0.729 0.729
p_eta5 ~~
p_eta6 0.384 0.009 43.971 0.000 0.807 0.807
.anxdep_comp_0 ~~
.anxdep_comp_1 0.318 0.007 48.513 0.000 0.318 0.608
.anxdep_comp_2 0.280 0.006 44.727 0.000 0.280 0.549
.anxdep_comp_3 0.253 0.006 39.960 0.000 0.253 0.485
.anxdep_comp_4 0.226 0.006 36.465 0.000 0.226 0.445
.anxdep_comp_5 0.208 0.006 32.139 0.000 0.208 0.400
.anxdep_comp_6 0.186 0.007 25.569 0.000 0.186 0.377
.anxdep_comp_1 ~~
.anxdep_comp_2 0.309 0.007 47.339 0.000 0.309 0.597
.anxdep_comp_3 0.277 0.007 42.197 0.000 0.277 0.521
.anxdep_comp_4 0.237 0.006 37.314 0.000 0.237 0.460
.anxdep_comp_5 0.230 0.007 34.580 0.000 0.230 0.437
.anxdep_comp_6 0.199 0.007 26.641 0.000 0.199 0.398
.anxdep_comp_2 ~~
.anxdep_comp_3 0.321 0.007 48.132 0.000 0.321 0.620
.anxdep_comp_4 0.275 0.006 43.093 0.000 0.275 0.548
.anxdep_comp_5 0.257 0.007 38.991 0.000 0.257 0.500
.anxdep_comp_6 0.224 0.007 30.763 0.000 0.224 0.459
.anxdep_comp_3 ~~
.anxdep_comp_4 0.309 0.007 45.778 0.000 0.309 0.601
.anxdep_comp_5 0.290 0.007 41.607 0.000 0.290 0.551
.anxdep_comp_6 0.248 0.007 33.280 0.000 0.248 0.496
.anxdep_comp_4 ~~
.anxdep_comp_5 0.336 0.007 46.956 0.000 0.336 0.657
.anxdep_comp_6 0.275 0.008 36.408 0.000 0.275 0.566
.anxdep_comp_5 ~~
.anxdep_comp_6 0.311 0.008 39.136 0.000 0.311 0.626
.withdep_comp_0 ~~
.withdep_comp_1 0.241 0.005 45.224 0.000 0.241 0.567
.withdep_comp_2 0.205 0.005 37.412 0.000 0.205 0.436
.withdep_comp_3 0.171 0.006 28.412 0.000 0.171 0.322
.withdep_comp_4 0.135 0.007 20.336 0.000 0.135 0.233
.withdep_comp_5 0.118 0.007 16.410 0.000 0.118 0.194
.withdep_comp_6 0.097 0.008 11.688 0.000 0.097 0.166
.withdep_comp_1 ~~
.withdep_comp_2 0.263 0.006 44.865 0.000 0.263 0.541
.withdep_comp_3 0.243 0.006 37.724 0.000 0.243 0.442
.withdep_comp_4 0.208 0.007 29.575 0.000 0.208 0.346
.withdep_comp_5 0.190 0.008 25.096 0.000 0.190 0.303
.withdep_comp_6 0.153 0.009 18.037 0.000 0.153 0.254
.withdep_comp_2 ~~
.withdep_comp_3 0.344 0.007 45.978 0.000 0.344 0.566
.withdep_comp_4 0.320 0.008 39.290 0.000 0.320 0.481
.withdep_comp_5 0.296 0.009 34.068 0.000 0.296 0.426
.withdep_comp_6 0.248 0.010 25.041 0.000 0.248 0.371
.withdep_comp_3 ~~
.withdep_comp_4 0.448 0.010 46.140 0.000 0.448 0.596
.withdep_comp_5 0.429 0.010 41.897 0.000 0.429 0.548
.withdep_comp_6 0.359 0.011 32.165 0.000 0.359 0.476
.withdep_comp_4 ~~
.withdep_comp_5 0.561 0.012 47.373 0.000 0.561 0.653
.withdep_comp_6 0.477 0.013 37.873 0.000 0.477 0.578
.withdep_comp_5 ~~
.withdep_comp_6 0.565 0.014 41.341 0.000 0.565 0.656
.soma_comp_0 ~~
.soma_comp_1 0.363 0.008 46.196 0.000 0.363 0.515
.soma_comp_2 0.307 0.007 41.131 0.000 0.307 0.455
.soma_comp_3 0.272 0.007 36.456 0.000 0.272 0.403
.soma_comp_4 0.260 0.008 32.368 0.000 0.260 0.362
.soma_comp_5 0.258 0.009 28.557 0.000 0.258 0.329
.soma_comp_6 0.254 0.011 23.427 0.000 0.254 0.320
.soma_comp_1 ~~
.soma_comp_2 0.342 0.008 44.600 0.000 0.342 0.506
.soma_comp_3 0.298 0.008 38.997 0.000 0.298 0.439
.soma_comp_4 0.285 0.008 34.894 0.000 0.285 0.394
.soma_comp_5 0.288 0.009 31.433 0.000 0.288 0.366
.soma_comp_6 0.264 0.011 24.034 0.000 0.264 0.331
.soma_comp_2 ~~
.soma_comp_3 0.330 0.008 43.925 0.000 0.330 0.509
.soma_comp_4 0.311 0.008 38.819 0.000 0.311 0.450
.soma_comp_5 0.306 0.009 34.561 0.000 0.306 0.406
.soma_comp_6 0.281 0.010 26.994 0.000 0.281 0.369
.soma_comp_3 ~~
.soma_comp_4 0.345 0.008 41.633 0.000 0.345 0.499
.soma_comp_5 0.333 0.009 36.450 0.000 0.333 0.441
.soma_comp_6 0.319 0.011 30.048 0.000 0.319 0.418
.soma_comp_4 ~~
.soma_comp_5 0.447 0.010 43.604 0.000 0.447 0.556
.soma_comp_6 0.418 0.012 34.912 0.000 0.418 0.514
.soma_comp_5 ~~
.soma_comp_6 0.527 0.013 39.346 0.000 0.527 0.594
.socprob_comp_0 ~~
.socprob_comp_1 0.197 0.005 36.044 0.000 0.197 0.485
.socprob_comp_2 0.162 0.005 31.735 0.000 0.162 0.421
.socprob_comp_3 0.125 0.005 25.691 0.000 0.125 0.340
.socprob_comp_4 0.101 0.005 21.020 0.000 0.101 0.281
.socprob_comp_5 0.086 0.005 17.589 0.000 0.086 0.241
.socprob_comp_6 0.071 0.005 13.075 0.000 0.071 0.216
.socprob_comp_1 ~~
.socprob_comp_2 0.176 0.005 34.859 0.000 0.176 0.477
.socprob_comp_3 0.139 0.005 28.943 0.000 0.139 0.394
.socprob_comp_4 0.110 0.005 23.542 0.000 0.110 0.321
.socprob_comp_5 0.093 0.005 19.557 0.000 0.093 0.272
.socprob_comp_6 0.086 0.005 16.263 0.000 0.086 0.273
.socprob_comp_2 ~~
.socprob_comp_3 0.158 0.005 33.295 0.000 0.158 0.473
.socprob_comp_4 0.135 0.005 29.347 0.000 0.135 0.416
.socprob_comp_5 0.111 0.005 23.899 0.000 0.111 0.344
.socprob_comp_6 0.100 0.005 19.748 0.000 0.100 0.334
.socprob_comp_3 ~~
.socprob_comp_4 0.143 0.005 31.286 0.000 0.143 0.460
.socprob_comp_5 0.128 0.005 27.425 0.000 0.128 0.416
.socprob_comp_6 0.112 0.005 22.222 0.000 0.112 0.390
.socprob_comp_4 ~~
.socprob_comp_5 0.154 0.005 32.322 0.000 0.154 0.513
.socprob_comp_6 0.133 0.005 25.772 0.000 0.133 0.476
.socprob_comp_5 ~~
.socprob_comp_6 0.153 0.005 28.479 0.000 0.153 0.551
.thouprob_comp_0 ~~
.thouprob_cmp_1 0.195 0.005 36.590 0.000 0.195 0.476
.thouprob_cmp_2 0.156 0.005 31.342 0.000 0.156 0.405
.thouprob_cmp_3 0.130 0.005 27.003 0.000 0.130 0.352
.thouprob_cmp_4 0.115 0.005 23.890 0.000 0.115 0.319
.thouprob_cmp_5 0.111 0.005 21.357 0.000 0.111 0.288
.thouprob_cmp_6 0.081 0.006 14.107 0.000 0.081 0.237
.thouprob_comp_1 ~~
.thouprob_cmp_2 0.185 0.005 35.665 0.000 0.185 0.475
.thouprob_cmp_3 0.151 0.005 30.082 0.000 0.151 0.402
.thouprob_cmp_4 0.133 0.005 26.775 0.000 0.133 0.363
.thouprob_cmp_5 0.139 0.005 25.926 0.000 0.139 0.354
.thouprob_cmp_6 0.098 0.006 16.864 0.000 0.098 0.281
.thouprob_comp_2 ~~
.thouprob_cmp_3 0.157 0.005 32.119 0.000 0.157 0.443
.thouprob_cmp_4 0.132 0.005 27.807 0.000 0.132 0.385
.thouprob_cmp_5 0.132 0.005 25.697 0.000 0.132 0.359
.thouprob_cmp_6 0.090 0.006 16.232 0.000 0.090 0.276
.thouprob_comp_3 ~~
.thouprob_cmp_4 0.137 0.005 28.960 0.000 0.137 0.415
.thouprob_cmp_5 0.130 0.005 25.366 0.000 0.130 0.365
.thouprob_cmp_6 0.090 0.005 16.462 0.000 0.090 0.284
.thouprob_comp_4 ~~
.thouprob_cmp_5 0.168 0.005 32.208 0.000 0.168 0.488
.thouprob_cmp_6 0.123 0.005 22.431 0.000 0.123 0.402
.thouprob_comp_5 ~~
.thouprob_cmp_6 0.163 0.006 26.844 0.000 0.163 0.494
.attprob_comp_0 ~~
.attprob_comp_1 0.300 0.006 51.232 0.000 0.300 0.671
.attprob_comp_2 0.267 0.006 47.822 0.000 0.267 0.615
.attprob_comp_3 0.248 0.006 44.913 0.000 0.248 0.574
.attprob_comp_4 0.217 0.005 40.793 0.000 0.217 0.523
.attprob_comp_5 0.216 0.006 39.207 0.000 0.216 0.513
.attprob_comp_6 0.191 0.006 31.295 0.000 0.191 0.468
.attprob_comp_1 ~~
.attprob_comp_2 0.288 0.006 50.467 0.000 0.288 0.669
.attprob_comp_3 0.265 0.006 47.145 0.000 0.265 0.617
.attprob_comp_4 0.226 0.005 42.262 0.000 0.226 0.552
.attprob_comp_5 0.227 0.006 41.151 0.000 0.227 0.544
.attprob_comp_6 0.203 0.006 33.215 0.000 0.203 0.501
.attprob_comp_2 ~~
.attprob_comp_3 0.277 0.006 49.365 0.000 0.277 0.664
.attprob_comp_4 0.238 0.005 44.827 0.000 0.238 0.597
.attprob_comp_5 0.239 0.005 43.557 0.000 0.239 0.590
.attprob_comp_6 0.211 0.006 35.404 0.000 0.211 0.538
.attprob_comp_3 ~~
.attprob_comp_4 0.257 0.005 47.071 0.000 0.257 0.648
.attprob_comp_5 0.249 0.006 44.618 0.000 0.249 0.616
.attprob_comp_6 0.218 0.006 36.534 0.000 0.218 0.558
.attprob_comp_4 ~~
.attprob_comp_5 0.263 0.006 46.937 0.000 0.263 0.681
.attprob_comp_6 0.233 0.006 39.034 0.000 0.233 0.622
.attprob_comp_5 ~~
.attprob_comp_6 0.262 0.006 41.568 0.000 0.262 0.687
.rulebreak_comp_0 ~~
.rulebrek_cmp_1 0.294 0.006 49.830 0.000 0.294 0.610
.rulebrek_cmp_2 0.258 0.006 43.938 0.000 0.258 0.526
.rulebrek_cmp_3 0.242 0.006 39.742 0.000 0.242 0.479
.rulebrek_cmp_4 0.245 0.007 34.893 0.000 0.245 0.419
.rulebrek_cmp_5 0.274 0.008 33.076 0.000 0.274 0.402
.rulebrek_cmp_6 0.232 0.010 23.784 0.000 0.232 0.333
.rulebreak_comp_1 ~~
.rulebrek_cmp_2 0.283 0.006 46.849 0.000 0.283 0.576
.rulebrek_cmp_3 0.269 0.006 43.242 0.000 0.269 0.534
.rulebrek_cmp_4 0.282 0.007 39.397 0.000 0.282 0.484
.rulebrek_cmp_5 0.283 0.008 34.042 0.000 0.283 0.416
.rulebrek_cmp_6 0.257 0.010 25.910 0.000 0.257 0.369
.rulebreak_comp_2 ~~
.rulebrek_cmp_3 0.306 0.007 46.418 0.000 0.306 0.596
.rulebrek_cmp_4 0.305 0.007 40.946 0.000 0.305 0.512
.rulebrek_cmp_5 0.342 0.009 39.211 0.000 0.342 0.494
.rulebrek_cmp_6 0.320 0.010 31.080 0.000 0.320 0.451
.rulebreak_comp_3 ~~
.rulebrek_cmp_4 0.349 0.008 44.006 0.000 0.349 0.571
.rulebrek_cmp_5 0.369 0.009 39.888 0.000 0.369 0.517
.rulebrek_cmp_6 0.357 0.011 33.895 0.000 0.357 0.489
.rulebreak_comp_4 ~~
.rulebrek_cmp_5 0.533 0.011 47.458 0.000 0.533 0.646
.rulebrek_cmp_6 0.512 0.013 39.999 0.000 0.512 0.606
.rulebreak_comp_5 ~~
.rulebrek_cmp_6 0.708 0.015 45.951 0.000 0.708 0.718
.aggress_comp_0 ~~
.aggress_comp_1 0.300 0.006 49.259 0.000 0.300 0.657
.aggress_comp_2 0.270 0.006 46.107 0.000 0.270 0.607
.aggress_comp_3 0.233 0.006 40.793 0.000 0.233 0.531
.aggress_comp_4 0.204 0.005 37.994 0.000 0.204 0.498
.aggress_comp_5 0.196 0.005 35.662 0.000 0.196 0.477
.aggress_comp_6 0.159 0.006 27.530 0.000 0.159 0.425
.aggress_comp_1 ~~
.aggress_comp_2 0.277 0.006 47.706 0.000 0.277 0.642
.aggress_comp_3 0.247 0.006 43.631 0.000 0.247 0.581
.aggress_comp_4 0.210 0.005 39.867 0.000 0.210 0.531
.aggress_comp_5 0.196 0.005 36.533 0.000 0.196 0.495
.aggress_comp_6 0.161 0.006 28.196 0.000 0.161 0.445
.aggress_comp_2 ~~
.aggress_comp_3 0.269 0.006 46.780 0.000 0.269 0.648
.aggress_comp_4 0.221 0.005 41.855 0.000 0.221 0.572
.aggress_comp_5 0.213 0.005 39.679 0.000 0.213 0.551
.aggress_comp_6 0.181 0.006 32.058 0.000 0.181 0.510
.aggress_comp_3 ~~
.aggress_comp_4 0.242 0.005 44.559 0.000 0.242 0.636
.aggress_comp_5 0.223 0.005 40.823 0.000 0.223 0.584
.aggress_comp_6 0.191 0.006 34.016 0.000 0.191 0.547
.aggress_comp_4 ~~
.aggress_comp_5 0.237 0.005 44.260 0.000 0.237 0.668
.aggress_comp_6 0.199 0.005 36.185 0.000 0.199 0.610
.aggress_comp_5 ~~
.aggress_comp_6 0.224 0.006 38.837 0.000 0.224 0.686
.anxdep_comp_0 ~~
.withdep_comp_0 0.100 0.005 19.424 0.000 0.100 0.218
.soma_comp_0 0.120 0.006 19.025 0.000 0.120 0.201
.withdep_comp_1 0.085 0.005 16.217 0.000 0.085 0.178
.soma_comp_1 0.084 0.006 13.214 0.000 0.084 0.139
.withdep_comp_2 0.089 0.006 15.527 0.000 0.089 0.169
.soma_comp_2 0.077 0.006 12.649 0.000 0.077 0.134
.withdep_comp_3 0.102 0.007 15.497 0.000 0.102 0.172
.soma_comp_3 0.077 0.006 12.255 0.000 0.077 0.133
.withdep_comp_4 0.088 0.007 11.833 0.000 0.088 0.135
.soma_comp_4 0.087 0.007 12.761 0.000 0.087 0.141
.withdep_comp_5 0.085 0.008 10.551 0.000 0.085 0.125
.soma_comp_5 0.069 0.008 8.925 0.000 0.069 0.103
.withdep_comp_6 0.075 0.009 8.100 0.000 0.075 0.114
.soma_comp_6 0.075 0.009 7.889 0.000 0.075 0.110
.withdep_comp_0 ~~
.anxdep_comp_1 0.069 0.005 13.404 0.000 0.069 0.148
.soma_comp_0 ~~
.anxdep_comp_1 0.099 0.006 15.415 0.000 0.099 0.162
.anxdep_comp_1 ~~
.withdep_comp_1 0.105 0.005 19.278 0.000 0.105 0.216
.soma_comp_1 0.112 0.007 17.125 0.000 0.112 0.183
.withdep_comp_2 0.093 0.006 15.773 0.000 0.093 0.173
.soma_comp_2 0.083 0.006 13.296 0.000 0.083 0.142
.withdep_comp_3 0.114 0.007 16.963 0.000 0.114 0.189
.soma_comp_3 0.078 0.006 12.272 0.000 0.078 0.133
.withdep_comp_4 0.102 0.008 13.471 0.000 0.102 0.154
.soma_comp_4 0.093 0.007 13.317 0.000 0.093 0.148
.withdep_comp_5 0.116 0.008 14.035 0.000 0.116 0.168
.soma_comp_5 0.090 0.008 11.416 0.000 0.090 0.132
.withdep_comp_6 0.093 0.009 9.881 0.000 0.093 0.141
.soma_comp_6 0.077 0.010 7.940 0.000 0.077 0.112
.withdep_comp_0 ~~
.anxdep_comp_2 0.076 0.005 14.831 0.000 0.076 0.166
.soma_comp_0 ~~
.anxdep_comp_2 0.096 0.006 15.217 0.000 0.096 0.162
.withdep_comp_1 ~~
.anxdep_comp_2 0.093 0.005 17.630 0.000 0.093 0.197
.soma_comp_1 ~~
.anxdep_comp_2 0.086 0.006 13.521 0.000 0.086 0.144
.anxdep_comp_2 ~~
.withdep_comp_2 0.146 0.006 24.689 0.000 0.146 0.281
.soma_comp_2 0.116 0.006 18.637 0.000 0.116 0.203
.withdep_comp_3 0.137 0.007 20.661 0.000 0.137 0.233
.soma_comp_3 0.096 0.006 15.250 0.000 0.096 0.167
.withdep_comp_4 0.124 0.007 16.742 0.000 0.124 0.192
.soma_comp_4 0.110 0.007 16.157 0.000 0.110 0.180
.withdep_comp_5 0.114 0.008 14.202 0.000 0.114 0.169
.soma_comp_5 0.095 0.008 12.434 0.000 0.095 0.143
.withdep_comp_6 0.089 0.009 9.850 0.000 0.089 0.138
.soma_comp_6 0.087 0.009 9.274 0.000 0.087 0.129
.withdep_comp_0 ~~
.anxdep_comp_3 0.063 0.005 11.913 0.000 0.063 0.135
.soma_comp_0 ~~
.anxdep_comp_3 0.102 0.007 15.514 0.000 0.102 0.167
.withdep_comp_1 ~~
.anxdep_comp_3 0.080 0.005 14.760 0.000 0.080 0.166
.soma_comp_1 ~~
.anxdep_comp_3 0.092 0.007 13.856 0.000 0.092 0.150
.withdep_comp_2 ~~
.anxdep_comp_3 0.117 0.006 19.483 0.000 0.117 0.219
.soma_comp_2 ~~
.anxdep_comp_3 0.101 0.006 15.841 0.000 0.101 0.172
.anxdep_comp_3 ~~
.withdep_comp_3 0.190 0.007 26.877 0.000 0.190 0.315
.soma_comp_3 0.130 0.007 19.736 0.000 0.130 0.221
.withdep_comp_4 0.151 0.008 19.532 0.000 0.151 0.228
.soma_comp_4 0.138 0.007 19.410 0.000 0.138 0.221
.withdep_comp_5 0.148 0.008 17.690 0.000 0.148 0.215
.soma_comp_5 0.129 0.008 16.147 0.000 0.129 0.190
.withdep_comp_6 0.113 0.009 12.255 0.000 0.113 0.170
.soma_comp_6 0.136 0.009 14.322 0.000 0.136 0.197
.withdep_comp_0 ~~
.anxdep_comp_4 0.044 0.005 8.333 0.000 0.044 0.096
.soma_comp_0 ~~
.anxdep_comp_4 0.083 0.007 12.703 0.000 0.083 0.140
.withdep_comp_1 ~~
.anxdep_comp_4 0.063 0.005 11.815 0.000 0.063 0.135
.soma_comp_1 ~~
.anxdep_comp_4 0.080 0.007 12.225 0.000 0.080 0.135
.withdep_comp_2 ~~
.anxdep_comp_4 0.094 0.006 15.860 0.000 0.094 0.181
.soma_comp_2 ~~
.anxdep_comp_4 0.086 0.006 13.526 0.000 0.086 0.151
.withdep_comp_3 ~~
.anxdep_comp_4 0.137 0.007 20.025 0.000 0.137 0.234
.soma_comp_3 ~~
.anxdep_comp_4 0.102 0.006 15.719 0.000 0.102 0.178
.anxdep_comp_4 ~~
.withdep_comp_4 0.209 0.008 26.547 0.000 0.209 0.325
.soma_comp_4 0.155 0.007 21.934 0.000 0.155 0.255
.withdep_comp_5 0.169 0.008 20.392 0.000 0.169 0.253
.soma_comp_5 0.142 0.008 18.008 0.000 0.142 0.215
.withdep_comp_6 0.135 0.009 14.703 0.000 0.135 0.210
.soma_comp_6 0.144 0.009 15.206 0.000 0.144 0.215
.withdep_comp_0 ~~
.anxdep_comp_5 0.042 0.006 7.610 0.000 0.042 0.091
.soma_comp_0 ~~
.anxdep_comp_5 0.075 0.007 10.864 0.000 0.075 0.124
.withdep_comp_1 ~~
.anxdep_comp_5 0.064 0.006 11.312 0.000 0.064 0.134
.soma_comp_1 ~~
.anxdep_comp_5 0.083 0.007 11.960 0.000 0.083 0.137
.withdep_comp_2 ~~
.anxdep_comp_5 0.099 0.006 15.756 0.000 0.099 0.186
.soma_comp_2 ~~
.anxdep_comp_5 0.091 0.007 13.716 0.000 0.091 0.157
.withdep_comp_3 ~~
.anxdep_comp_5 0.143 0.007 19.866 0.000 0.143 0.238
.soma_comp_3 ~~
.anxdep_comp_5 0.098 0.007 14.341 0.000 0.098 0.167
.withdep_comp_4 ~~
.anxdep_comp_5 0.177 0.008 21.894 0.000 0.177 0.269
.soma_comp_4 ~~
.anxdep_comp_5 0.147 0.007 19.827 0.000 0.147 0.237
.anxdep_comp_5 ~~
.withdep_comp_5 0.244 0.009 27.447 0.000 0.244 0.356
.soma_comp_5 0.180 0.008 21.807 0.000 0.180 0.266
.withdep_comp_6 0.156 0.010 16.441 0.000 0.156 0.238
.soma_comp_6 0.155 0.010 15.838 0.000 0.155 0.227
.withdep_comp_0 ~~
.anxdep_comp_6 0.048 0.006 7.468 0.000 0.048 0.109
.soma_comp_0 ~~
.anxdep_comp_6 0.069 0.008 8.724 0.000 0.069 0.119
.withdep_comp_1 ~~
.anxdep_comp_6 0.065 0.006 9.985 0.000 0.065 0.142
.soma_comp_1 ~~
.anxdep_comp_6 0.072 0.008 8.988 0.000 0.072 0.124
.withdep_comp_2 ~~
.anxdep_comp_6 0.093 0.007 12.641 0.000 0.093 0.185
.soma_comp_2 ~~
.anxdep_comp_6 0.089 0.008 11.877 0.000 0.089 0.161
.withdep_comp_3 ~~
.anxdep_comp_6 0.133 0.008 16.248 0.000 0.133 0.233
.soma_comp_3 ~~
.anxdep_comp_6 0.080 0.008 10.508 0.000 0.080 0.143
.withdep_comp_4 ~~
.anxdep_comp_6 0.159 0.009 17.563 0.000 0.159 0.254
.soma_comp_4 ~~
.anxdep_comp_6 0.117 0.008 13.928 0.000 0.117 0.198
.withdep_comp_5 ~~
.anxdep_comp_6 0.185 0.010 19.149 0.000 0.185 0.284
.soma_comp_5 ~~
.anxdep_comp_6 0.123 0.009 13.483 0.000 0.123 0.191
.anxdep_comp_6 ~~
.withdep_comp_6 0.222 0.010 22.113 0.000 0.222 0.354
.soma_comp_6 0.168 0.010 17.038 0.000 0.168 0.258
.withdep_comp_0 ~~
.soma_comp_0 0.053 0.006 9.437 0.000 0.053 0.098
.soma_comp_1 0.053 0.006 9.314 0.000 0.053 0.098
.soma_comp_2 0.038 0.006 6.888 0.000 0.038 0.074
.soma_comp_3 0.027 0.006 4.780 0.000 0.027 0.052
.soma_comp_4 0.019 0.006 3.119 0.002 0.019 0.035
.soma_comp_5 -0.007 0.007 -0.944 0.345 -0.007 -0.011
.soma_comp_6 -0.005 0.009 -0.542 0.588 -0.005 -0.008
.soma_comp_0 ~~
.withdep_comp_1 0.037 0.006 6.397 0.000 0.037 0.066
.withdep_comp_1 ~~
.soma_comp_1 0.066 0.006 11.270 0.000 0.066 0.118
.soma_comp_2 0.049 0.006 8.755 0.000 0.049 0.093
.soma_comp_3 0.050 0.006 8.719 0.000 0.050 0.094
.soma_comp_4 0.038 0.006 6.099 0.000 0.038 0.067
.soma_comp_5 0.034 0.007 4.838 0.000 0.034 0.055
.soma_comp_6 0.018 0.009 2.053 0.040 0.018 0.028
.soma_comp_0 ~~
.withdep_comp_2 0.051 0.006 8.085 0.000 0.051 0.084
.soma_comp_1 ~~
.withdep_comp_2 0.066 0.006 10.213 0.000 0.066 0.107
.withdep_comp_2 ~~
.soma_comp_2 0.081 0.006 13.036 0.000 0.081 0.137
.soma_comp_3 0.061 0.006 9.574 0.000 0.061 0.103
.soma_comp_4 0.079 0.007 11.450 0.000 0.079 0.126
.soma_comp_5 0.072 0.008 9.171 0.000 0.072 0.104
.soma_comp_6 0.054 0.010 5.481 0.000 0.054 0.078
.soma_comp_0 ~~
.withdep_comp_3 0.068 0.007 9.240 0.000 0.068 0.098
.soma_comp_1 ~~
.withdep_comp_3 0.061 0.007 8.198 0.000 0.061 0.087
.soma_comp_2 ~~
.withdep_comp_3 0.066 0.007 9.375 0.000 0.066 0.100
.withdep_comp_3 ~~
.soma_comp_3 0.087 0.007 12.062 0.000 0.087 0.131
.soma_comp_4 0.115 0.008 14.419 0.000 0.115 0.161
.soma_comp_5 0.125 0.009 13.948 0.000 0.125 0.161
.soma_comp_6 0.126 0.011 11.572 0.000 0.126 0.160
.soma_comp_0 ~~
.withdep_comp_4 0.059 0.008 7.154 0.000 0.059 0.078
.soma_comp_1 ~~
.withdep_comp_4 0.072 0.008 8.581 0.000 0.072 0.094
.soma_comp_2 ~~
.withdep_comp_4 0.068 0.008 8.422 0.000 0.068 0.093
.soma_comp_3 ~~
.withdep_comp_4 0.087 0.008 10.603 0.000 0.087 0.119
.withdep_comp_4 ~~
.soma_comp_4 0.154 0.009 17.417 0.000 0.154 0.198
.soma_comp_5 0.146 0.010 14.691 0.000 0.146 0.172
.soma_comp_6 0.165 0.012 13.798 0.000 0.165 0.192
.soma_comp_0 ~~
.withdep_comp_5 0.053 0.009 5.849 0.000 0.053 0.067
.soma_comp_1 ~~
.withdep_comp_5 0.065 0.009 7.099 0.000 0.065 0.081
.soma_comp_2 ~~
.withdep_comp_5 0.062 0.009 7.086 0.000 0.062 0.081
.soma_comp_3 ~~
.withdep_comp_5 0.079 0.009 8.868 0.000 0.079 0.103
.soma_comp_4 ~~
.withdep_comp_5 0.141 0.010 14.636 0.000 0.141 0.173
.withdep_comp_5 ~~
.soma_comp_5 0.209 0.011 19.624 0.000 0.209 0.236
.soma_comp_6 0.193 0.013 15.137 0.000 0.193 0.215
.soma_comp_0 ~~
.withdep_comp_6 0.061 0.010 5.944 0.000 0.061 0.080
.soma_comp_1 ~~
.withdep_comp_6 0.046 0.010 4.413 0.000 0.046 0.060
.soma_comp_2 ~~
.withdep_comp_6 0.047 0.010 4.849 0.000 0.047 0.065
.soma_comp_3 ~~
.withdep_comp_6 0.056 0.010 5.660 0.000 0.056 0.076
.soma_comp_4 ~~
.withdep_comp_6 0.100 0.011 9.254 0.000 0.100 0.128
.soma_comp_5 ~~
.withdep_comp_6 0.136 0.012 11.545 0.000 0.136 0.160
.withdep_comp_6 ~~
.soma_comp_6 0.204 0.013 15.947 0.000 0.204 0.237
.rulebreak_comp_0 ~~
.aggress_comp_0 0.223 0.006 38.455 0.000 0.223 0.468
.aggress_comp_1 0.173 0.005 32.084 0.000 0.173 0.376
.aggress_comp_2 0.162 0.005 30.524 0.000 0.162 0.360
.aggress_comp_3 0.140 0.005 26.393 0.000 0.140 0.317
.aggress_comp_4 0.132 0.005 25.799 0.000 0.132 0.318
.aggress_comp_5 0.134 0.005 25.648 0.000 0.134 0.325
.aggress_comp_6 0.113 0.006 19.747 0.000 0.113 0.298
.aggress_comp_0 ~~
.rulebrek_cmp_1 0.182 0.006 32.659 0.000 0.182 0.381
.rulebreak_comp_1 ~~
.aggress_comp_1 0.216 0.006 37.779 0.000 0.216 0.469
.aggress_comp_2 0.169 0.005 31.578 0.000 0.169 0.376
.aggress_comp_3 0.153 0.005 28.416 0.000 0.153 0.344
.aggress_comp_4 0.145 0.005 28.144 0.000 0.145 0.351
.aggress_comp_5 0.136 0.005 25.901 0.000 0.136 0.329
.aggress_comp_6 0.125 0.006 21.454 0.000 0.125 0.330
.aggress_comp_0 ~~
.rulebrek_cmp_2 0.162 0.006 28.839 0.000 0.162 0.335
.aggress_comp_1 ~~
.rulebrek_cmp_2 0.165 0.006 29.799 0.000 0.165 0.351
.rulebreak_comp_2 ~~
.aggress_comp_2 0.223 0.006 38.393 0.000 0.223 0.487
.aggress_comp_3 0.169 0.006 30.140 0.000 0.169 0.373
.aggress_comp_4 0.144 0.005 27.247 0.000 0.144 0.342
.aggress_comp_5 0.144 0.005 26.739 0.000 0.144 0.342
.aggress_comp_6 0.141 0.006 23.619 0.000 0.141 0.364
.aggress_comp_0 ~~
.rulebrek_cmp_3 0.162 0.006 27.625 0.000 0.162 0.325
.aggress_comp_1 ~~
.rulebrek_cmp_3 0.165 0.006 28.683 0.000 0.165 0.341
.aggress_comp_2 ~~
.rulebrek_cmp_3 0.180 0.006 31.297 0.000 0.180 0.382
.rulebreak_comp_3 ~~
.aggress_comp_3 0.231 0.006 37.913 0.000 0.231 0.498
.aggress_comp_4 0.167 0.006 30.182 0.000 0.167 0.385
.aggress_comp_5 0.156 0.006 27.742 0.000 0.156 0.361
.aggress_comp_6 0.154 0.006 25.588 0.000 0.154 0.388
.aggress_comp_0 ~~
.rulebrek_cmp_4 0.186 0.007 27.136 0.000 0.186 0.322
.aggress_comp_1 ~~
.rulebrek_cmp_4 0.193 0.007 28.742 0.000 0.193 0.345
.aggress_comp_2 ~~
.rulebrek_cmp_4 0.193 0.007 29.080 0.000 0.193 0.353
.aggress_comp_3 ~~
.rulebrek_cmp_4 0.206 0.007 30.402 0.000 0.206 0.383
.rulebreak_comp_4 ~~
.aggress_comp_4 0.251 0.007 37.315 0.000 0.251 0.501
.aggress_comp_5 0.207 0.007 31.002 0.000 0.207 0.412
.aggress_comp_6 0.175 0.007 24.632 0.000 0.175 0.380
.aggress_comp_0 ~~
.rulebrek_cmp_5 0.219 0.008 26.756 0.000 0.219 0.325
.aggress_comp_1 ~~
.rulebrek_cmp_5 0.205 0.008 25.779 0.000 0.205 0.314
.aggress_comp_2 ~~
.rulebrek_cmp_5 0.231 0.008 29.239 0.000 0.231 0.363
.aggress_comp_3 ~~
.rulebrek_cmp_5 0.226 0.008 28.249 0.000 0.226 0.361
.aggress_comp_4 ~~
.rulebrek_cmp_5 0.234 0.008 30.623 0.000 0.234 0.399
.rulebreak_comp_5 ~~
.aggress_comp_5 0.309 0.008 37.824 0.000 0.309 0.527
.aggress_comp_6 0.236 0.008 28.419 0.000 0.236 0.440
.aggress_comp_0 ~~
.rulebrek_cmp_6 0.203 0.010 21.018 0.000 0.203 0.294
.aggress_comp_1 ~~
.rulebrek_cmp_6 0.183 0.009 19.314 0.000 0.183 0.273
.aggress_comp_2 ~~
.rulebrek_cmp_6 0.217 0.009 23.453 0.000 0.217 0.333
.aggress_comp_3 ~~
.rulebrek_cmp_6 0.222 0.009 24.146 0.000 0.222 0.346
.aggress_comp_4 ~~
.rulebrek_cmp_6 0.228 0.009 25.736 0.000 0.228 0.380
.aggress_comp_5 ~~
.rulebrek_cmp_6 0.248 0.009 27.256 0.000 0.248 0.414
.rulebreak_comp_6 ~~
.aggress_comp_6 0.273 0.009 29.200 0.000 0.273 0.496
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_etaB 0.000 0.000 0.000
p_eta1 (m1) 0.024 0.005 4.985 0.000 0.032 0.032
p_eta2 (m2) -0.010 0.005 -1.923 0.054 -0.014 -0.014
p_eta3 (m3) 0.004 0.005 0.762 0.446 0.005 0.005
p_eta4 (m4) -0.032 0.005 -6.397 0.000 -0.045 -0.045
.anxd__0 (ta_X) -0.047 0.009 -5.545 0.000 -0.047 -0.046
.anxd__1 (ta_X) -0.047 0.009 -5.545 0.000 -0.047 -0.046
.anxd__2 (ta_X) -0.047 0.009 -5.545 0.000 -0.047 -0.047
.anxd__3 (ta_X) -0.047 0.009 -5.545 0.000 -0.047 -0.046
.anxd__4 (ta_X) -0.047 0.009 -5.545 0.000 -0.047 -0.047
.anxd__5 (ta_X) -0.047 0.009 -5.545 0.000 -0.047 -0.046
.anxd__6 (ta_X) -0.047 0.009 -5.545 0.000 -0.047 -0.050
.wthd__0 (ta_W) -0.105 0.008 -13.484 0.000 -0.105 -0.115
.wthd__1 (ta_W) -0.105 0.008 -13.484 0.000 -0.105 -0.114
.wthd__2 (ta_W) -0.105 0.008 -13.484 0.000 -0.105 -0.109
.wthd__3 (ta_W) -0.105 0.008 -13.484 0.000 -0.105 -0.101
.wthd__4 (ta_W) -0.105 0.008 -13.484 0.000 -0.105 -0.096
.wthd__5 (ta_W) -0.105 0.008 -13.484 0.000 -0.105 -0.093
.wthd__6 (ta_W) -0.105 0.008 -13.484 0.000 -0.105 -0.098
.sm_cm_0 (ta_S) -0.040 0.008 -4.974 0.000 -0.040 -0.039
.sm_cm_1 (ta_S) -0.040 0.008 -4.974 0.000 -0.040 -0.040
.sm_cm_2 (ta_S) -0.040 0.008 -4.974 0.000 -0.040 -0.041
.sm_cm_3 (ta_S) -0.040 0.008 -4.974 0.000 -0.040 -0.041
.sm_cm_4 (ta_S) -0.040 0.008 -4.974 0.000 -0.040 -0.039
.sm_cm_5 (ta_S) -0.040 0.008 -4.974 0.000 -0.040 -0.037
.sm_cm_6 (ta_S) -0.040 0.008 -4.974 0.000 -0.040 -0.037
.scpr__0 (ta_P) -0.013 0.008 -1.668 0.095 -0.013 -0.013
.scpr__1 (ta_P) -0.013 0.008 -1.668 0.095 -0.013 -0.013
.scpr__2 (ta_P) -0.013 0.008 -1.668 0.095 -0.013 -0.013
.scpr__3 (ta_P) -0.013 0.008 -1.668 0.095 -0.013 -0.014
.scpr__4 (ta_P) -0.013 0.008 -1.668 0.095 -0.013 -0.014
.scpr__5 (ta_P) -0.013 0.008 -1.668 0.095 -0.013 -0.014
.scpr__6 (ta_P) -0.013 0.008 -1.668 0.095 -0.013 -0.015
.thpr__0 (ta_H) -0.010 0.008 -1.260 0.208 -0.010 -0.010
.thpr__1 (ta_H) -0.010 0.008 -1.260 0.208 -0.010 -0.010
.thpr__2 (ta_H) -0.010 0.008 -1.260 0.208 -0.010 -0.010
.thpr__3 (ta_H) -0.010 0.008 -1.260 0.208 -0.010 -0.010
.thpr__4 (ta_H) -0.010 0.008 -1.260 0.208 -0.010 -0.010
.thpr__5 (ta_H) -0.010 0.008 -1.260 0.208 -0.010 -0.010
.thpr__6 (ta_H) -0.010 0.008 -1.260 0.208 -0.010 -0.011
.attp__0 (ta_A) -0.003 0.008 -0.340 0.734 -0.003 -0.003
.attp__1 (ta_A) -0.003 0.008 -0.340 0.734 -0.003 -0.003
.attp__2 (ta_A) -0.003 0.008 -0.340 0.734 -0.003 -0.003
.attp__3 (ta_A) -0.003 0.008 -0.340 0.734 -0.003 -0.003
.attp__4 (ta_A) -0.003 0.008 -0.340 0.734 -0.003 -0.003
.attp__5 (ta_A) -0.003 0.008 -0.340 0.734 -0.003 -0.003
.attp__6 (ta_A) -0.003 0.008 -0.340 0.734 -0.003 -0.003
.rlbr__0 (ta_R) -0.047 0.008 -6.090 0.000 -0.047 -0.050
.rlbr__1 (ta_R) -0.047 0.008 -6.090 0.000 -0.047 -0.050
.rlbr__2 (ta_R) -0.047 0.008 -6.090 0.000 -0.047 -0.050
.rlbr__3 (ta_R) -0.047 0.008 -6.090 0.000 -0.047 -0.049
.rlbr__4 (ta_R) -0.047 0.008 -6.090 0.000 -0.047 -0.045
.rlbr__5 (ta_R) -0.047 0.008 -6.090 0.000 -0.047 -0.040
.rlbr__6 (ta_R) -0.047 0.008 -6.090 0.000 -0.047 -0.041
.aggr__0 (ta_G) -0.041 0.008 -4.955 0.000 -0.041 -0.038
.aggr__1 (ta_G) -0.041 0.008 -4.955 0.000 -0.041 -0.040
.aggr__2 (ta_G) -0.041 0.008 -4.955 0.000 -0.041 -0.041
.aggr__3 (ta_G) -0.041 0.008 -4.955 0.000 -0.041 -0.041
.aggr__4 (ta_G) -0.041 0.008 -4.955 0.000 -0.041 -0.042
.aggr__5 (ta_G) -0.041 0.008 -4.955 0.000 -0.041 -0.042
.aggr__6 (ta_G) -0.041 0.008 -4.955 0.000 -0.041 -0.046
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_etaB 0.564 0.010 56.748 0.000 1.000 1.000
p_eta1 0.538 0.010 55.974 0.000 1.000 1.000
p_eta2 0.514 0.009 55.369 0.000 1.000 1.000
p_eta3 0.516 0.010 54.202 0.000 1.000 1.000
p_eta4 0.500 0.009 52.967 0.000 1.000 1.000
p_eta5 0.520 0.010 51.490 0.000 1.000 1.000
p_eta6 0.434 0.010 42.678 0.000 1.000 1.000
.anxdep_comp_0 0.515 0.008 66.538 0.000 0.515 0.477
.withdep_comp_0 0.410 0.006 65.290 0.000 0.410 0.494
.soma_comp_0 0.701 0.010 72.624 0.000 0.701 0.697
.socprob_comp_0 0.424 0.007 60.332 0.000 0.424 0.376
.thouprob_cmp_0 0.403 0.007 61.668 0.000 0.403 0.367
.attprob_comp_0 0.451 0.007 65.283 0.000 0.451 0.445
.rulebrek_cmp_0 0.481 0.007 68.702 0.000 0.481 0.536
.aggress_comp_0 0.472 0.007 63.622 0.000 0.472 0.424
.anxdep_comp_1 0.532 0.008 65.599 0.000 0.532 0.497
.withdep_comp_1 0.439 0.007 66.174 0.000 0.439 0.522
.soma_comp_1 0.708 0.010 71.040 0.000 0.708 0.709
.socprob_comp_1 0.389 0.007 58.672 0.000 0.389 0.367
.thouprob_cmp_1 0.415 0.007 60.690 0.000 0.415 0.385
.attprob_comp_1 0.444 0.007 64.156 0.000 0.444 0.453
.rulebrek_cmp_1 0.482 0.007 66.958 0.000 0.482 0.548
.aggress_comp_1 0.441 0.007 62.461 0.000 0.441 0.418
.anxdep_comp_2 0.505 0.008 65.014 0.000 0.505 0.496
.withdep_comp_2 0.538 0.008 67.219 0.000 0.538 0.584
.soma_comp_2 0.647 0.009 69.764 0.000 0.647 0.700
.socprob_comp_2 0.350 0.006 57.356 0.000 0.350 0.353
.thouprob_cmp_2 0.367 0.006 58.666 0.000 0.367 0.367
.attprob_comp_2 0.419 0.007 63.301 0.000 0.419 0.450
.rulebrek_cmp_2 0.500 0.008 66.036 0.000 0.500 0.568
.aggress_comp_2 0.421 0.007 61.456 0.000 0.421 0.419
.anxdep_comp_3 0.530 0.008 63.694 0.000 0.530 0.506
.withdep_comp_3 0.686 0.010 65.636 0.000 0.686 0.640
.soma_comp_3 0.651 0.010 67.717 0.000 0.651 0.700
.socprob_comp_3 0.318 0.006 54.977 0.000 0.318 0.330
.thouprob_cmp_3 0.340 0.006 56.068 0.000 0.340 0.349
.attprob_comp_3 0.414 0.007 61.778 0.000 0.414 0.446
.rulebrek_cmp_3 0.528 0.008 63.587 0.000 0.528 0.581
.aggress_comp_3 0.408 0.007 59.565 0.000 0.408 0.410
.anxdep_comp_4 0.499 0.008 61.450 0.000 0.499 0.499
.withdep_comp_4 0.823 0.013 63.162 0.000 0.823 0.688
.soma_comp_4 0.738 0.011 65.780 0.000 0.738 0.732
.socprob_comp_4 0.303 0.006 53.103 0.000 0.303 0.326
.thouprob_cmp_4 0.321 0.006 53.789 0.000 0.321 0.343
.attprob_comp_4 0.380 0.006 59.354 0.000 0.380 0.432
.rulebrek_cmp_4 0.708 0.011 62.974 0.000 0.708 0.657
.aggress_comp_4 0.355 0.006 57.079 0.000 0.355 0.384
.anxdep_comp_5 0.523 0.009 58.896 0.000 0.523 0.502
.withdep_comp_5 0.896 0.015 60.440 0.000 0.896 0.697
.soma_comp_5 0.877 0.014 62.847 0.000 0.877 0.757
.socprob_comp_5 0.298 0.006 49.816 0.000 0.298 0.315
.thouprob_cmp_5 0.370 0.007 52.675 0.000 0.370 0.366
.attprob_comp_5 0.393 0.007 57.371 0.000 0.393 0.431
.rulebrek_cmp_5 0.963 0.016 61.606 0.000 0.963 0.715
.aggress_comp_5 0.356 0.007 54.672 0.000 0.356 0.375
.anxdep_comp_6 0.473 0.010 47.040 0.000 0.473 0.521
.withdep_comp_6 0.829 0.017 48.501 0.000 0.829 0.719
.soma_comp_6 0.895 0.018 50.170 0.000 0.895 0.792
.socprob_comp_6 0.258 0.007 38.705 0.000 0.258 0.322
.thouprob_cmp_6 0.294 0.007 39.882 0.000 0.294 0.355
.attprob_comp_6 0.369 0.008 46.476 0.000 0.369 0.460
.rulebrek_cmp_6 1.011 0.020 50.060 0.000 1.011 0.759
.aggress_comp_6 0.299 0.007 42.981 0.000 0.299 0.377
R-Square:
Estimate
anxdep_comp_0 0.523
withdep_comp_0 0.506
soma_comp_0 0.303
socprob_comp_0 0.624
thouprob_cmp_0 0.633
attprob_comp_0 0.555
rulebrek_cmp_0 0.464
aggress_comp_0 0.576
anxdep_comp_1 0.503
withdep_comp_1 0.478
soma_comp_1 0.291
socprob_comp_1 0.633
thouprob_cmp_1 0.615
attprob_comp_1 0.547
rulebrek_cmp_1 0.452
aggress_comp_1 0.582
anxdep_comp_2 0.504
withdep_comp_2 0.416
soma_comp_2 0.300
socprob_comp_2 0.647
thouprob_cmp_2 0.633
attprob_comp_2 0.550
rulebrek_cmp_2 0.432
aggress_comp_2 0.581
anxdep_comp_3 0.494
withdep_comp_3 0.360
soma_comp_3 0.300
socprob_comp_3 0.670
thouprob_cmp_3 0.651
attprob_comp_3 0.554
rulebrek_cmp_3 0.419
aggress_comp_3 0.590
anxdep_comp_4 0.501
withdep_comp_4 0.312
soma_comp_4 0.268
socprob_comp_4 0.674
thouprob_cmp_4 0.657
attprob_comp_4 0.568
rulebrek_cmp_4 0.343
aggress_comp_4 0.616
anxdep_comp_5 0.498
withdep_comp_5 0.303
soma_comp_5 0.243
socprob_comp_5 0.685
thouprob_cmp_5 0.634
attprob_comp_5 0.569
rulebrek_cmp_5 0.285
aggress_comp_5 0.625
anxdep_comp_6 0.479
withdep_comp_6 0.281
soma_comp_6 0.208
socprob_comp_6 0.678
thouprob_cmp_6 0.645
attprob_comp_6 0.540
rulebrek_cmp_6 0.241
aggress_comp_6 0.623
Latent growth curve model
model fit
lg.pc.7t.strong.invar <- "#factor loadings (with constraints)
p_etaB =~ 1*anxdep_comp_0+
lambda_W*withdep_comp_0+
lambda_S*soma_comp_0+
lambda_C*socprob_comp_0+
lambda_H*thouprob_comp_0+
lambda_A*attprob_comp_0+
lambda_R*rulebreak_comp_0+
lambda_G*aggress_comp_0
p_eta1 =~ 1*anxdep_comp_1+
lambda_W*withdep_comp_1+
lambda_S*soma_comp_1+
lambda_C*socprob_comp_1+
lambda_H*thouprob_comp_1+
lambda_A*attprob_comp_1+
lambda_R*rulebreak_comp_1+
lambda_G*aggress_comp_1
p_eta2 =~ 1*anxdep_comp_2+
lambda_W*withdep_comp_2+
lambda_S*soma_comp_2+
lambda_C*socprob_comp_2+
lambda_H*thouprob_comp_2+
lambda_A*attprob_comp_2+
lambda_R*rulebreak_comp_2+
lambda_G*aggress_comp_2
p_eta3 =~ 1*anxdep_comp_3+
lambda_W*withdep_comp_3+
lambda_S*soma_comp_3+
lambda_C*socprob_comp_3+
lambda_H*thouprob_comp_3+
lambda_A*attprob_comp_3+
lambda_R*rulebreak_comp_3+
lambda_G*aggress_comp_3
p_eta4 =~ 1*anxdep_comp_4+
lambda_W*withdep_comp_4+
lambda_S*soma_comp_4+
lambda_C*socprob_comp_4+
lambda_H*thouprob_comp_4+
lambda_A*attprob_comp_4+
lambda_R*rulebreak_comp_4+
lambda_G*aggress_comp_4
p_eta5 =~ 1*anxdep_comp_5+
lambda_W*withdep_comp_5+
lambda_S*soma_comp_5+
lambda_C*socprob_comp_5+
lambda_H*thouprob_comp_5+
lambda_A*attprob_comp_5+
lambda_R*rulebreak_comp_5+
lambda_G*aggress_comp_5
p_eta6 =~ 1*anxdep_comp_6+
lambda_W*withdep_comp_6+
lambda_S*soma_comp_6+
lambda_C*socprob_comp_6+
lambda_H*thouprob_comp_6+
lambda_A*attprob_comp_6+
lambda_R*rulebreak_comp_6+
lambda_G*aggress_comp_6
#latent variable variances
p_etaB~~NA*p_etaB
p_eta1~~NA*p_eta1
p_eta2~~NA*p_eta2
p_eta3~~NA*p_eta3
p_eta4~~NA*p_eta4
p_eta5~~NA*p_eta5
p_eta6~~NA*p_eta6
#unique variances # No need to constrict these
anxdep_comp_0~~anxdep_comp_0
withdep_comp_0~~withdep_comp_0
soma_comp_0~~soma_comp_0
socprob_comp_0~~socprob_comp_0
thouprob_comp_0~~thouprob_comp_0
attprob_comp_0~~attprob_comp_0
rulebreak_comp_0~~rulebreak_comp_0
aggress_comp_0~~aggress_comp_0
anxdep_comp_1~~anxdep_comp_1
withdep_comp_1~~withdep_comp_1
soma_comp_1~~soma_comp_1
socprob_comp_1~~socprob_comp_1
thouprob_comp_1~~thouprob_comp_1
attprob_comp_1~~attprob_comp_1
rulebreak_comp_1~~rulebreak_comp_1
aggress_comp_1~~aggress_comp_1
anxdep_comp_2~~anxdep_comp_2
withdep_comp_2~~withdep_comp_2
soma_comp_2~~soma_comp_2
socprob_comp_2~~socprob_comp_2
thouprob_comp_2~~thouprob_comp_2
attprob_comp_2~~attprob_comp_2
rulebreak_comp_2~~rulebreak_comp_2
aggress_comp_2~~aggress_comp_2
anxdep_comp_3~~anxdep_comp_3
withdep_comp_3~~withdep_comp_3
soma_comp_3~~soma_comp_3
socprob_comp_3~~socprob_comp_3
thouprob_comp_3~~thouprob_comp_3
attprob_comp_3~~attprob_comp_3
rulebreak_comp_3~~rulebreak_comp_3
aggress_comp_3~~aggress_comp_3
anxdep_comp_4~~anxdep_comp_4
withdep_comp_4~~withdep_comp_4
soma_comp_4~~soma_comp_4
socprob_comp_4~~socprob_comp_4
thouprob_comp_4~~thouprob_comp_4
attprob_comp_4~~attprob_comp_4
rulebreak_comp_4~~rulebreak_comp_4
aggress_comp_4~~aggress_comp_4
anxdep_comp_5~~anxdep_comp_5
withdep_comp_5~~withdep_comp_5
soma_comp_5~~soma_comp_5
socprob_comp_5~~socprob_comp_5
thouprob_comp_5~~thouprob_comp_5
attprob_comp_5~~attprob_comp_5
rulebreak_comp_5~~rulebreak_comp_5
aggress_comp_5~~aggress_comp_5
anxdep_comp_6~~anxdep_comp_6
withdep_comp_6~~withdep_comp_6
soma_comp_6~~soma_comp_6
socprob_comp_6~~socprob_comp_6
thouprob_comp_6~~thouprob_comp_6
attprob_comp_6~~attprob_comp_6
rulebreak_comp_6~~rulebreak_comp_6
aggress_comp_6~~aggress_comp_6
#unique covariances
# Scores arcoss times
anxdep_comp_0~~anxdep_comp_1 + anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_1~~anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_2~~anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_3~~anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_4~~anxdep_comp_5+ anxdep_comp_6
anxdep_comp_5~~anxdep_comp_6
withdep_comp_0~~withdep_comp_1 + withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_1~~withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_2~~withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_3~~withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_4~~withdep_comp_5 + withdep_comp_6
withdep_comp_5~~withdep_comp_6
soma_comp_0~~soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_1~~soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_2~~soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_3~~soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_4~~soma_comp_5 + soma_comp_6
soma_comp_5~~soma_comp_6
socprob_comp_0~~socprob_comp_1 + socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_1~~socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_2~~socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_3~~socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_4~~socprob_comp_5 + socprob_comp_6
socprob_comp_5~~socprob_comp_6
thouprob_comp_0~~thouprob_comp_1 + thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_1~~thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_2~~thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_3~~thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_4~~thouprob_comp_5 + thouprob_comp_6
thouprob_comp_5~~thouprob_comp_6
attprob_comp_0~~attprob_comp_1 + attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_1~~attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_2~~attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_3~~attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_4~~attprob_comp_5 + attprob_comp_6
attprob_comp_5~~attprob_comp_6
rulebreak_comp_0~~rulebreak_comp_1 + rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_1~~rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_2~~rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_3~~rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_4~~rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_5~~rulebreak_comp_6
aggress_comp_0~~aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_1~~aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_2~~aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_3~~aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_4~~aggress_comp_5 + aggress_comp_6
aggress_comp_5~~aggress_comp_6
# Internalizeing subscale covariances
anxdep_comp_0~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_1~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_2~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_3~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_4~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_5~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_6~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
withdep_comp_0~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_1~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_2~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_3~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_4~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_5~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_6~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
# Externalizeing subscale covariances
rulebreak_comp_0~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_1~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_2~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_3~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_4~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_5~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_6~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
#observed variable intercepts
anxdep_comp_0~tau_X*1
anxdep_comp_1~tau_X*1
anxdep_comp_2~tau_X*1
anxdep_comp_3~tau_X*1
anxdep_comp_4~tau_X*1
anxdep_comp_5~tau_X*1
anxdep_comp_6~tau_X*1
withdep_comp_0~tau_W*1
withdep_comp_1~tau_W*1
withdep_comp_2~tau_W*1
withdep_comp_3~tau_W*1
withdep_comp_4~tau_W*1
withdep_comp_5~tau_W*1
withdep_comp_6~tau_W*1
soma_comp_0~tau_S*1
soma_comp_1~tau_S*1
soma_comp_2~tau_S*1
soma_comp_3~tau_S*1
soma_comp_4~tau_S*1
soma_comp_5~tau_S*1
soma_comp_6~tau_S*1
socprob_comp_0~tau_P*1
socprob_comp_1~tau_P*1
socprob_comp_2~tau_P*1
socprob_comp_3~tau_P*1
socprob_comp_4~tau_P*1
socprob_comp_5~tau_P*1
socprob_comp_6~tau_P*1
thouprob_comp_0~tau_H*1
thouprob_comp_1~tau_H*1
thouprob_comp_2~tau_H*1
thouprob_comp_3~tau_H*1
thouprob_comp_4~tau_H*1
thouprob_comp_5~tau_H*1
thouprob_comp_6~tau_H*1
attprob_comp_0~tau_A*1
attprob_comp_1~tau_A*1
attprob_comp_2~tau_A*1
attprob_comp_3~tau_A*1
attprob_comp_4~tau_A*1
attprob_comp_5~tau_A*1
attprob_comp_6~tau_A*1
rulebreak_comp_0~tau_R*1
rulebreak_comp_1~tau_R*1
rulebreak_comp_2~tau_R*1
rulebreak_comp_3~tau_R*1
rulebreak_comp_4~tau_R*1
rulebreak_comp_5~tau_R*1
rulebreak_comp_6~tau_R*1
aggress_comp_0~tau_G*1
aggress_comp_1~tau_G*1
aggress_comp_2~tau_G*1
aggress_comp_3~tau_G*1
aggress_comp_4~tau_G*1
aggress_comp_5~tau_G*1
aggress_comp_6~tau_G*1
#latent basis model
p_i =~ 1*p_etaB + 1*p_eta1 + 1*p_eta2 + 1*p_eta3 + 1*p_eta4 + 1*p_eta5 + 1*p_eta6
p_s =~ 0*p_etaB + .5*p_eta1 + 1*p_eta2 + 1.5*p_eta3 + 2*p_eta4 + 2.5*p_eta5 + 3*p_eta6
p_q =~ 0*p_etaB + .25*p_eta1 + 1*p_eta2 + 2.25*p_eta3 + 4*p_eta4 + 6.25*p_eta5 + 9*p_eta6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1
p_s~1
p_q~1
p_etaB ~ 0*1
p_eta1 ~ 0*1
p_eta2 ~ 0*1
p_eta3 ~ 0*1
p_eta4 ~ 0*1
p_eta5 ~ 0*1
p_eta6 ~ 0*1"
lavaan(lg.pc.7t.strong.invar,
data = pc_factor_nolow_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("lgcm_pc_7t_model.rds")result
readRDS("lgcm_pc_7t_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("lgcm_pc_7t_result.rds")# Check for Haywood case
eigen(inspect(readRDS("lgcm_pc_7t_model.rds"), "cor.lv"))$value [1] 6.02125594 2.19676190 0.73005391 0.22410496 0.22019473 0.21198951
[7] 0.18907502 0.14346841 0.05649222 0.00660340
readRDS("lgcm_pc_7t_result.rds")lavaan 0.6-19 ended normally after 184 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 541
Number of equality constraints 90
Used Total
Number of observations 11865 11867
Number of missing patterns 82
Model Test User Model:
Test statistic 16868.010
Degrees of freedom 1201
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 510459.918
Degrees of freedom 1540
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.969
Tucker-Lewis Index (TLI) 0.961
Robust Comparative Fit Index (CFI) 0.969
Robust Tucker-Lewis Index (TLI) 0.960
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -511181.606
Loglikelihood unrestricted model (H1) -502747.601
Akaike (AIC) 1023265.211
Bayesian (BIC) 1026594.199
Sample-size adjusted Bayesian (SABIC) 1025160.973
Root Mean Square Error of Approximation:
RMSEA 0.033
90 Percent confidence interval - lower 0.033
90 Percent confidence interval - upper 0.034
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.038
90 Percent confidence interval - lower 0.038
90 Percent confidence interval - upper 0.039
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.062
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_etaB =~
anxd__0 1.000 0.745 0.721
wthd__0 (lm_W) 0.861 0.006 140.242 0.000 0.642 0.707
sm_cm_0 (lm_S) 0.734 0.007 109.962 0.000 0.547 0.547
scpr__0 (lm_C) 1.122 0.007 153.258 0.000 0.837 0.791
thpr__0 (lm_H) 1.110 0.007 151.925 0.000 0.827 0.793
attp__0 (lm_A) 0.999 0.007 142.314 0.000 0.745 0.742
rlbr__0 (lm_R) 0.859 0.007 119.788 0.000 0.640 0.678
aggr__0 (lm_G) 1.070 0.007 146.552 0.000 0.797 0.759
p_eta1 =~
anxd__1 1.000 0.731 0.708
wthd__1 (lm_W) 0.861 0.006 140.242 0.000 0.629 0.689
sm_cm_1 (lm_S) 0.734 0.007 109.962 0.000 0.537 0.538
scpr__1 (lm_C) 1.122 0.007 153.258 0.000 0.821 0.797
thpr__1 (lm_H) 1.110 0.007 151.925 0.000 0.811 0.783
attp__1 (lm_A) 0.999 0.007 142.314 0.000 0.731 0.739
rlbr__1 (lm_R) 0.859 0.007 119.788 0.000 0.628 0.671
aggr__1 (lm_G) 1.070 0.007 146.552 0.000 0.782 0.762
p_eta2 =~
anxd__2 1.000 0.724 0.714
wthd__2 (lm_W) 0.861 0.006 140.241 0.000 0.623 0.648
sm_cm_2 (lm_S) 0.734 0.007 109.962 0.000 0.532 0.551
scpr__2 (lm_C) 1.122 0.007 153.258 0.000 0.813 0.809
thpr__2 (lm_H) 1.110 0.007 151.925 0.000 0.803 0.798
attp__2 (lm_A) 0.999 0.007 142.314 0.000 0.724 0.746
rlbr__2 (lm_R) 0.859 0.007 119.788 0.000 0.622 0.660
aggr__2 (lm_G) 1.070 0.007 146.552 0.000 0.774 0.767
p_eta3 =~
anxd__3 1.000 0.712 0.699
wthd__3 (lm_W) 0.861 0.006 140.241 0.000 0.613 0.594
sm_cm_3 (lm_S) 0.734 0.007 109.962 0.000 0.523 0.544
scpr__3 (lm_C) 1.122 0.007 153.258 0.000 0.800 0.817
thpr__3 (lm_H) 1.110 0.007 151.925 0.000 0.790 0.804
attp__3 (lm_A) 0.999 0.007 142.314 0.000 0.712 0.742
rlbr__3 (lm_R) 0.859 0.007 119.788 0.000 0.612 0.644
aggr__3 (lm_G) 1.070 0.007 146.552 0.000 0.762 0.766
p_eta4 =~
anxd__4 1.000 0.707 0.707
wthd__4 (lm_W) 0.861 0.006 140.241 0.000 0.609 0.556
sm_cm_4 (lm_S) 0.734 0.007 109.962 0.000 0.519 0.517
scpr__4 (lm_C) 1.122 0.007 153.258 0.000 0.794 0.822
thpr__4 (lm_H) 1.110 0.007 151.925 0.000 0.785 0.810
attp__4 (lm_A) 0.999 0.007 142.314 0.000 0.707 0.754
rlbr__4 (lm_R) 0.859 0.007 119.788 0.000 0.607 0.585
aggr__4 (lm_G) 1.070 0.007 146.552 0.000 0.756 0.786
p_eta5 =~
anxd__5 1.000 0.698 0.693
wthd__5 (lm_W) 0.861 0.006 140.241 0.000 0.601 0.533
sm_cm_5 (lm_S) 0.734 0.007 109.962 0.000 0.513 0.479
scpr__5 (lm_C) 1.122 0.007 153.258 0.000 0.783 0.822
thpr__5 (lm_H) 1.110 0.007 151.925 0.000 0.774 0.784
attp__5 (lm_A) 0.999 0.007 142.314 0.000 0.698 0.743
rlbr__5 (lm_R) 0.859 0.007 119.788 0.000 0.599 0.520
aggr__5 (lm_G) 1.070 0.007 146.552 0.000 0.747 0.782
p_eta6 =~
anxd__6 1.000 0.662 0.692
wthd__6 (lm_W) 0.861 0.006 140.241 0.000 0.570 0.528
sm_cm_6 (lm_S) 0.734 0.007 109.962 0.000 0.486 0.456
scpr__6 (lm_C) 1.122 0.007 153.258 0.000 0.743 0.828
thpr__6 (lm_H) 1.110 0.007 151.925 0.000 0.735 0.804
attp__6 (lm_A) 0.999 0.007 142.314 0.000 0.662 0.737
rlbr__6 (lm_R) 0.859 0.007 119.788 0.000 0.569 0.491
aggr__6 (lm_G) 1.070 0.007 146.552 0.000 0.708 0.793
p_i =~
p_etaB 1.000 0.917 0.917
p_eta1 1.000 0.935 0.935
p_eta2 1.000 0.944 0.944
p_eta3 1.000 0.960 0.960
p_eta4 1.000 0.967 0.967
p_eta5 1.000 0.980 0.980
p_eta6 1.000 1.032 1.032
p_s =~
p_etaB 0.000 0.000 0.000
p_eta1 0.500 0.286 0.286
p_eta2 1.000 0.577 0.577
p_eta3 1.500 0.880 0.880
p_eta4 2.000 1.182 1.182
p_eta5 2.500 1.497 1.497
p_eta6 3.000 1.894 1.894
p_q =~
p_etaB 0.000 0.000 0.000
p_eta1 0.250 0.041 0.041
p_eta2 1.000 0.167 0.167
p_eta3 2.250 0.383 0.383
p_eta4 4.000 0.685 0.685
p_eta5 6.250 1.085 1.085
p_eta6 9.000 1.646 1.646
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.anxdep_comp_0 ~~
.anxdep_comp_1 0.317 0.007 48.526 0.000 0.317 0.607
.anxdep_comp_2 0.279 0.006 44.685 0.000 0.279 0.548
.anxdep_comp_3 0.253 0.006 39.960 0.000 0.253 0.484
.anxdep_comp_4 0.225 0.006 36.448 0.000 0.225 0.444
.anxdep_comp_5 0.207 0.006 32.035 0.000 0.207 0.398
.anxdep_comp_6 0.185 0.007 25.389 0.000 0.185 0.374
.anxdep_comp_1 ~~
.anxdep_comp_2 0.309 0.007 47.370 0.000 0.309 0.597
.anxdep_comp_3 0.276 0.007 42.172 0.000 0.276 0.520
.anxdep_comp_4 0.237 0.006 37.234 0.000 0.237 0.459
.anxdep_comp_5 0.231 0.007 34.554 0.000 0.231 0.436
.anxdep_comp_6 0.201 0.008 26.730 0.000 0.201 0.399
.anxdep_comp_2 ~~
.anxdep_comp_3 0.321 0.007 48.178 0.000 0.321 0.620
.anxdep_comp_4 0.274 0.006 42.919 0.000 0.274 0.545
.anxdep_comp_5 0.256 0.007 38.784 0.000 0.256 0.496
.anxdep_comp_6 0.225 0.007 30.725 0.000 0.225 0.458
.anxdep_comp_3 ~~
.anxdep_comp_4 0.310 0.007 45.832 0.000 0.310 0.601
.anxdep_comp_5 0.292 0.007 41.617 0.000 0.292 0.551
.anxdep_comp_6 0.249 0.007 33.258 0.000 0.249 0.495
.anxdep_comp_4 ~~
.anxdep_comp_5 0.339 0.007 47.129 0.000 0.339 0.660
.anxdep_comp_6 0.276 0.008 36.381 0.000 0.276 0.565
.anxdep_comp_5 ~~
.anxdep_comp_6 0.315 0.008 39.207 0.000 0.315 0.628
.withdep_comp_0 ~~
.withdep_comp_1 0.241 0.005 45.194 0.000 0.241 0.566
.withdep_comp_2 0.204 0.005 37.317 0.000 0.204 0.434
.withdep_comp_3 0.169 0.006 28.022 0.000 0.169 0.317
.withdep_comp_4 0.133 0.007 19.940 0.000 0.133 0.228
.withdep_comp_5 0.113 0.007 15.637 0.000 0.113 0.185
.withdep_comp_6 0.090 0.008 10.856 0.000 0.090 0.153
.withdep_comp_1 ~~
.withdep_comp_2 0.263 0.006 44.999 0.000 0.263 0.542
.withdep_comp_3 0.242 0.006 37.615 0.000 0.242 0.440
.withdep_comp_4 0.208 0.007 29.453 0.000 0.208 0.344
.withdep_comp_5 0.189 0.008 24.782 0.000 0.189 0.299
.withdep_comp_6 0.153 0.009 17.800 0.000 0.153 0.251
.withdep_comp_2 ~~
.withdep_comp_3 0.345 0.007 45.996 0.000 0.345 0.566
.withdep_comp_4 0.319 0.008 39.069 0.000 0.319 0.478
.withdep_comp_5 0.295 0.009 33.718 0.000 0.295 0.422
.withdep_comp_6 0.248 0.010 24.882 0.000 0.248 0.368
.withdep_comp_3 ~~
.withdep_comp_4 0.451 0.010 46.217 0.000 0.451 0.597
.withdep_comp_5 0.436 0.010 41.942 0.000 0.436 0.549
.withdep_comp_6 0.364 0.011 32.244 0.000 0.364 0.477
.withdep_comp_4 ~~
.withdep_comp_5 0.572 0.012 47.590 0.000 0.572 0.658
.withdep_comp_6 0.484 0.013 37.935 0.000 0.484 0.579
.withdep_comp_5 ~~
.withdep_comp_6 0.579 0.014 41.535 0.000 0.579 0.660
.soma_comp_0 ~~
.soma_comp_1 0.363 0.008 46.209 0.000 0.363 0.515
.soma_comp_2 0.307 0.007 41.143 0.000 0.307 0.455
.soma_comp_3 0.272 0.007 36.487 0.000 0.272 0.403
.soma_comp_4 0.260 0.008 32.347 0.000 0.260 0.361
.soma_comp_5 0.257 0.009 28.423 0.000 0.257 0.327
.soma_comp_6 0.252 0.011 23.243 0.000 0.252 0.317
.soma_comp_1 ~~
.soma_comp_2 0.342 0.008 44.618 0.000 0.342 0.506
.soma_comp_3 0.298 0.008 38.995 0.000 0.298 0.439
.soma_comp_4 0.284 0.008 34.861 0.000 0.284 0.393
.soma_comp_5 0.289 0.009 31.347 0.000 0.289 0.365
.soma_comp_6 0.264 0.011 23.970 0.000 0.264 0.330
.soma_comp_2 ~~
.soma_comp_3 0.330 0.008 43.952 0.000 0.330 0.509
.soma_comp_4 0.311 0.008 38.768 0.000 0.311 0.449
.soma_comp_5 0.305 0.009 34.367 0.000 0.305 0.404
.soma_comp_6 0.280 0.010 26.878 0.000 0.280 0.367
.soma_comp_3 ~~
.soma_comp_4 0.346 0.008 41.674 0.000 0.346 0.499
.soma_comp_5 0.335 0.009 36.423 0.000 0.335 0.441
.soma_comp_6 0.319 0.011 29.998 0.000 0.319 0.417
.soma_comp_4 ~~
.soma_comp_5 0.451 0.010 43.714 0.000 0.451 0.558
.soma_comp_6 0.420 0.012 34.907 0.000 0.420 0.515
.soma_comp_5 ~~
.soma_comp_6 0.533 0.014 39.463 0.000 0.533 0.597
.socprob_comp_0 ~~
.socprob_comp_1 0.195 0.005 35.931 0.000 0.195 0.483
.socprob_comp_2 0.159 0.005 31.480 0.000 0.159 0.417
.socprob_comp_3 0.125 0.005 25.837 0.000 0.125 0.342
.socprob_comp_4 0.101 0.005 21.257 0.000 0.101 0.284
.socprob_comp_5 0.089 0.005 18.483 0.000 0.089 0.254
.socprob_comp_6 0.074 0.005 13.626 0.000 0.074 0.226
.socprob_comp_1 ~~
.socprob_comp_2 0.175 0.005 34.735 0.000 0.175 0.476
.socprob_comp_3 0.138 0.005 28.921 0.000 0.138 0.394
.socprob_comp_4 0.110 0.005 23.504 0.000 0.110 0.321
.socprob_comp_5 0.094 0.005 20.006 0.000 0.094 0.279
.socprob_comp_6 0.088 0.005 16.628 0.000 0.088 0.280
.socprob_comp_2 ~~
.socprob_comp_3 0.158 0.005 33.289 0.000 0.158 0.474
.socprob_comp_4 0.134 0.005 29.197 0.000 0.134 0.414
.socprob_comp_5 0.112 0.005 24.094 0.000 0.112 0.348
.socprob_comp_6 0.101 0.005 20.006 0.000 0.101 0.339
.socprob_comp_3 ~~
.socprob_comp_4 0.142 0.005 31.162 0.000 0.142 0.459
.socprob_comp_5 0.127 0.005 27.385 0.000 0.127 0.416
.socprob_comp_6 0.110 0.005 22.084 0.000 0.110 0.388
.socprob_comp_4 ~~
.socprob_comp_5 0.153 0.005 32.300 0.000 0.153 0.512
.socprob_comp_6 0.131 0.005 25.614 0.000 0.131 0.474
.socprob_comp_5 ~~
.socprob_comp_6 0.149 0.005 28.151 0.000 0.149 0.545
.thouprob_comp_0 ~~
.thouprob_cmp_1 0.195 0.005 36.597 0.000 0.195 0.476
.thouprob_cmp_2 0.156 0.005 31.389 0.000 0.156 0.405
.thouprob_cmp_3 0.131 0.005 27.122 0.000 0.131 0.353
.thouprob_cmp_4 0.115 0.005 23.953 0.000 0.115 0.319
.thouprob_cmp_5 0.111 0.005 21.278 0.000 0.111 0.286
.thouprob_cmp_6 0.082 0.006 14.110 0.000 0.082 0.236
.thouprob_comp_1 ~~
.thouprob_cmp_2 0.185 0.005 35.701 0.000 0.185 0.475
.thouprob_cmp_3 0.151 0.005 30.166 0.000 0.151 0.402
.thouprob_cmp_4 0.132 0.005 26.707 0.000 0.132 0.362
.thouprob_cmp_5 0.140 0.005 26.003 0.000 0.140 0.354
.thouprob_cmp_6 0.099 0.006 17.009 0.000 0.099 0.283
.thouprob_comp_2 ~~
.thouprob_cmp_3 0.157 0.005 32.242 0.000 0.157 0.445
.thouprob_cmp_4 0.132 0.005 27.637 0.000 0.132 0.382
.thouprob_cmp_5 0.132 0.005 25.486 0.000 0.132 0.354
.thouprob_cmp_6 0.091 0.006 16.241 0.000 0.091 0.275
.thouprob_comp_3 ~~
.thouprob_cmp_4 0.138 0.005 29.073 0.000 0.138 0.416
.thouprob_cmp_5 0.130 0.005 25.418 0.000 0.130 0.365
.thouprob_cmp_6 0.090 0.005 16.472 0.000 0.090 0.283
.thouprob_comp_4 ~~
.thouprob_cmp_5 0.171 0.005 32.621 0.000 0.171 0.493
.thouprob_cmp_6 0.125 0.006 22.632 0.000 0.125 0.404
.thouprob_comp_5 ~~
.thouprob_cmp_6 0.166 0.006 27.226 0.000 0.166 0.499
.attprob_comp_0 ~~
.attprob_comp_1 0.301 0.006 51.302 0.000 0.301 0.672
.attprob_comp_2 0.267 0.006 47.830 0.000 0.267 0.615
.attprob_comp_3 0.248 0.006 44.872 0.000 0.248 0.572
.attprob_comp_4 0.216 0.005 40.780 0.000 0.216 0.523
.attprob_comp_5 0.216 0.006 39.208 0.000 0.216 0.512
.attprob_comp_6 0.190 0.006 31.182 0.000 0.190 0.466
.attprob_comp_1 ~~
.attprob_comp_2 0.289 0.006 50.505 0.000 0.289 0.669
.attprob_comp_3 0.265 0.006 47.132 0.000 0.265 0.616
.attprob_comp_4 0.226 0.005 42.222 0.000 0.226 0.551
.attprob_comp_5 0.227 0.006 41.138 0.000 0.227 0.543
.attprob_comp_6 0.202 0.006 33.124 0.000 0.202 0.499
.attprob_comp_2 ~~
.attprob_comp_3 0.277 0.006 49.363 0.000 0.277 0.664
.attprob_comp_4 0.237 0.005 44.721 0.000 0.237 0.595
.attprob_comp_5 0.240 0.006 43.538 0.000 0.240 0.589
.attprob_comp_6 0.210 0.006 35.280 0.000 0.210 0.535
.attprob_comp_3 ~~
.attprob_comp_4 0.257 0.005 47.086 0.000 0.257 0.648
.attprob_comp_5 0.250 0.006 44.732 0.000 0.250 0.618
.attprob_comp_6 0.219 0.006 36.616 0.000 0.219 0.559
.attprob_comp_4 ~~
.attprob_comp_5 0.265 0.006 47.121 0.000 0.265 0.683
.attprob_comp_6 0.233 0.006 39.026 0.000 0.233 0.621
.attprob_comp_5 ~~
.attprob_comp_6 0.263 0.006 41.702 0.000 0.263 0.688
.rulebreak_comp_0 ~~
.rulebrek_cmp_1 0.294 0.006 49.877 0.000 0.294 0.610
.rulebrek_cmp_2 0.258 0.006 43.978 0.000 0.258 0.526
.rulebrek_cmp_3 0.241 0.006 39.703 0.000 0.241 0.478
.rulebrek_cmp_4 0.244 0.007 34.783 0.000 0.244 0.417
.rulebrek_cmp_5 0.272 0.008 32.744 0.000 0.272 0.398
.rulebrek_cmp_6 0.229 0.010 23.357 0.000 0.229 0.327
.rulebreak_comp_1 ~~
.rulebrek_cmp_2 0.283 0.006 46.948 0.000 0.283 0.577
.rulebrek_cmp_3 0.269 0.006 43.219 0.000 0.269 0.533
.rulebrek_cmp_4 0.282 0.007 39.291 0.000 0.282 0.482
.rulebrek_cmp_5 0.283 0.008 33.805 0.000 0.283 0.413
.rulebrek_cmp_6 0.256 0.010 25.659 0.000 0.256 0.365
.rulebreak_comp_2 ~~
.rulebrek_cmp_3 0.307 0.007 46.458 0.000 0.307 0.596
.rulebrek_cmp_4 0.303 0.007 40.780 0.000 0.303 0.509
.rulebrek_cmp_5 0.341 0.009 38.887 0.000 0.341 0.489
.rulebrek_cmp_6 0.319 0.010 30.795 0.000 0.319 0.446
.rulebreak_comp_3 ~~
.rulebrek_cmp_4 0.350 0.008 44.021 0.000 0.350 0.571
.rulebrek_cmp_5 0.370 0.009 39.809 0.000 0.370 0.516
.rulebrek_cmp_6 0.358 0.011 33.784 0.000 0.358 0.488
.rulebreak_comp_4 ~~
.rulebrek_cmp_5 0.537 0.011 47.531 0.000 0.537 0.648
.rulebrek_cmp_6 0.514 0.013 39.916 0.000 0.514 0.605
.rulebreak_comp_5 ~~
.rulebrek_cmp_6 0.715 0.016 45.979 0.000 0.715 0.719
.aggress_comp_0 ~~
.aggress_comp_1 0.298 0.006 49.332 0.000 0.298 0.657
.aggress_comp_2 0.268 0.006 46.111 0.000 0.268 0.605
.aggress_comp_3 0.232 0.006 40.805 0.000 0.232 0.530
.aggress_comp_4 0.204 0.005 38.112 0.000 0.204 0.499
.aggress_comp_5 0.197 0.005 36.027 0.000 0.197 0.482
.aggress_comp_6 0.160 0.006 27.845 0.000 0.160 0.430
.aggress_comp_1 ~~
.aggress_comp_2 0.276 0.006 47.811 0.000 0.276 0.643
.aggress_comp_3 0.246 0.006 43.595 0.000 0.246 0.580
.aggress_comp_4 0.209 0.005 39.771 0.000 0.209 0.530
.aggress_comp_5 0.196 0.005 36.636 0.000 0.196 0.496
.aggress_comp_6 0.162 0.006 28.440 0.000 0.162 0.449
.aggress_comp_2 ~~
.aggress_comp_3 0.268 0.006 46.861 0.000 0.268 0.648
.aggress_comp_4 0.220 0.005 41.737 0.000 0.220 0.571
.aggress_comp_5 0.213 0.005 39.753 0.000 0.213 0.553
.aggress_comp_6 0.182 0.006 32.356 0.000 0.182 0.515
.aggress_comp_3 ~~
.aggress_comp_4 0.242 0.005 44.532 0.000 0.242 0.635
.aggress_comp_5 0.223 0.005 40.926 0.000 0.223 0.586
.aggress_comp_6 0.192 0.006 34.225 0.000 0.192 0.551
.aggress_comp_4 ~~
.aggress_comp_5 0.238 0.005 44.366 0.000 0.238 0.669
.aggress_comp_6 0.198 0.005 36.253 0.000 0.198 0.611
.aggress_comp_5 ~~
.aggress_comp_6 0.222 0.006 38.788 0.000 0.222 0.684
.anxdep_comp_0 ~~
.withdep_comp_0 0.102 0.005 19.625 0.000 0.102 0.221
.soma_comp_0 0.120 0.006 19.012 0.000 0.120 0.200
.withdep_comp_1 0.085 0.005 16.349 0.000 0.085 0.179
.soma_comp_1 0.083 0.006 13.197 0.000 0.083 0.138
.withdep_comp_2 0.088 0.006 15.363 0.000 0.088 0.167
.soma_comp_2 0.077 0.006 12.615 0.000 0.077 0.134
.withdep_comp_3 0.100 0.007 15.217 0.000 0.100 0.169
.soma_comp_3 0.077 0.006 12.295 0.000 0.077 0.133
.withdep_comp_4 0.085 0.007 11.480 0.000 0.085 0.131
.soma_comp_4 0.087 0.007 12.715 0.000 0.087 0.141
.withdep_comp_5 0.082 0.008 10.099 0.000 0.082 0.120
.soma_comp_5 0.068 0.008 8.814 0.000 0.068 0.101
.withdep_comp_6 0.070 0.009 7.527 0.000 0.070 0.106
.soma_comp_6 0.073 0.010 7.635 0.000 0.073 0.107
.withdep_comp_0 ~~
.anxdep_comp_1 0.069 0.005 13.362 0.000 0.069 0.148
.soma_comp_0 ~~
.anxdep_comp_1 0.098 0.006 15.361 0.000 0.098 0.161
.anxdep_comp_1 ~~
.withdep_comp_1 0.105 0.005 19.361 0.000 0.105 0.217
.soma_comp_1 0.112 0.007 17.126 0.000 0.112 0.183
.withdep_comp_2 0.093 0.006 15.802 0.000 0.093 0.173
.soma_comp_2 0.083 0.006 13.300 0.000 0.083 0.142
.withdep_comp_3 0.114 0.007 16.903 0.000 0.114 0.189
.soma_comp_3 0.078 0.006 12.280 0.000 0.078 0.133
.withdep_comp_4 0.101 0.008 13.340 0.000 0.101 0.153
.soma_comp_4 0.093 0.007 13.284 0.000 0.093 0.148
.withdep_comp_5 0.116 0.008 13.959 0.000 0.116 0.167
.soma_comp_5 0.090 0.008 11.436 0.000 0.090 0.132
.withdep_comp_6 0.094 0.010 9.864 0.000 0.094 0.141
.soma_comp_6 0.078 0.010 7.984 0.000 0.078 0.112
.withdep_comp_0 ~~
.anxdep_comp_2 0.076 0.005 14.870 0.000 0.076 0.167
.soma_comp_0 ~~
.anxdep_comp_2 0.096 0.006 15.164 0.000 0.096 0.161
.withdep_comp_1 ~~
.anxdep_comp_2 0.093 0.005 17.757 0.000 0.093 0.198
.soma_comp_1 ~~
.anxdep_comp_2 0.086 0.006 13.500 0.000 0.086 0.144
.anxdep_comp_2 ~~
.withdep_comp_2 0.146 0.006 24.674 0.000 0.146 0.280
.soma_comp_2 0.115 0.006 18.599 0.000 0.115 0.202
.withdep_comp_3 0.137 0.007 20.633 0.000 0.137 0.233
.soma_comp_3 0.096 0.006 15.304 0.000 0.096 0.168
.withdep_comp_4 0.122 0.007 16.404 0.000 0.122 0.188
.soma_comp_4 0.109 0.007 16.043 0.000 0.109 0.179
.withdep_comp_5 0.112 0.008 13.810 0.000 0.112 0.164
.soma_comp_5 0.094 0.008 12.251 0.000 0.094 0.141
.withdep_comp_6 0.088 0.009 9.630 0.000 0.088 0.135
.soma_comp_6 0.086 0.009 9.164 0.000 0.086 0.127
.withdep_comp_0 ~~
.anxdep_comp_3 0.062 0.005 11.713 0.000 0.062 0.132
.soma_comp_0 ~~
.anxdep_comp_3 0.102 0.007 15.498 0.000 0.102 0.167
.withdep_comp_1 ~~
.anxdep_comp_3 0.079 0.005 14.647 0.000 0.079 0.164
.soma_comp_1 ~~
.anxdep_comp_3 0.092 0.007 13.830 0.000 0.092 0.149
.withdep_comp_2 ~~
.anxdep_comp_3 0.117 0.006 19.553 0.000 0.117 0.220
.soma_comp_2 ~~
.anxdep_comp_3 0.101 0.006 15.848 0.000 0.101 0.172
.anxdep_comp_3 ~~
.withdep_comp_3 0.191 0.007 27.000 0.000 0.191 0.316
.soma_comp_3 0.130 0.007 19.813 0.000 0.130 0.222
.withdep_comp_4 0.153 0.008 19.750 0.000 0.153 0.231
.soma_comp_4 0.139 0.007 19.538 0.000 0.139 0.222
.withdep_comp_5 0.151 0.008 17.857 0.000 0.151 0.217
.soma_comp_5 0.131 0.008 16.301 0.000 0.131 0.192
.withdep_comp_6 0.115 0.009 12.331 0.000 0.115 0.171
.soma_comp_6 0.137 0.010 14.395 0.000 0.137 0.198
.withdep_comp_0 ~~
.anxdep_comp_4 0.043 0.005 8.166 0.000 0.043 0.094
.soma_comp_0 ~~
.anxdep_comp_4 0.083 0.007 12.697 0.000 0.083 0.140
.withdep_comp_1 ~~
.anxdep_comp_4 0.063 0.005 11.699 0.000 0.063 0.134
.soma_comp_1 ~~
.anxdep_comp_4 0.080 0.007 12.194 0.000 0.080 0.134
.withdep_comp_2 ~~
.anxdep_comp_4 0.093 0.006 15.672 0.000 0.093 0.179
.soma_comp_2 ~~
.anxdep_comp_4 0.085 0.006 13.456 0.000 0.085 0.150
.withdep_comp_3 ~~
.anxdep_comp_4 0.138 0.007 20.151 0.000 0.138 0.235
.soma_comp_3 ~~
.anxdep_comp_4 0.103 0.006 15.831 0.000 0.103 0.180
.anxdep_comp_4 ~~
.withdep_comp_4 0.211 0.008 26.756 0.000 0.211 0.328
.soma_comp_4 0.157 0.007 22.136 0.000 0.157 0.258
.withdep_comp_5 0.175 0.008 20.777 0.000 0.175 0.258
.soma_comp_5 0.146 0.008 18.400 0.000 0.146 0.220
.withdep_comp_6 0.137 0.009 14.728 0.000 0.137 0.210
.soma_comp_6 0.146 0.010 15.341 0.000 0.146 0.217
.withdep_comp_0 ~~
.anxdep_comp_5 0.039 0.006 7.005 0.000 0.039 0.084
.soma_comp_0 ~~
.anxdep_comp_5 0.075 0.007 10.780 0.000 0.075 0.123
.withdep_comp_1 ~~
.anxdep_comp_5 0.062 0.006 11.019 0.000 0.062 0.130
.soma_comp_1 ~~
.anxdep_comp_5 0.083 0.007 11.953 0.000 0.083 0.136
.withdep_comp_2 ~~
.anxdep_comp_5 0.098 0.006 15.653 0.000 0.098 0.185
.soma_comp_2 ~~
.anxdep_comp_5 0.091 0.007 13.576 0.000 0.091 0.155
.withdep_comp_3 ~~
.anxdep_comp_5 0.147 0.007 20.235 0.000 0.147 0.243
.soma_comp_3 ~~
.anxdep_comp_5 0.099 0.007 14.414 0.000 0.099 0.168
.withdep_comp_4 ~~
.anxdep_comp_5 0.185 0.008 22.685 0.000 0.185 0.280
.soma_comp_4 ~~
.anxdep_comp_5 0.151 0.007 20.211 0.000 0.151 0.242
.anxdep_comp_5 ~~
.withdep_comp_5 0.254 0.009 28.073 0.000 0.254 0.366
.soma_comp_5 0.186 0.008 22.294 0.000 0.186 0.273
.withdep_comp_6 0.165 0.010 17.038 0.000 0.165 0.247
.soma_comp_6 0.161 0.010 16.319 0.000 0.161 0.234
.withdep_comp_0 ~~
.anxdep_comp_6 0.044 0.006 6.847 0.000 0.044 0.099
.soma_comp_0 ~~
.anxdep_comp_6 0.068 0.008 8.634 0.000 0.068 0.118
.withdep_comp_1 ~~
.anxdep_comp_6 0.064 0.006 9.798 0.000 0.064 0.139
.soma_comp_1 ~~
.anxdep_comp_6 0.072 0.008 9.004 0.000 0.072 0.124
.withdep_comp_2 ~~
.anxdep_comp_6 0.094 0.007 12.718 0.000 0.094 0.186
.soma_comp_2 ~~
.anxdep_comp_6 0.089 0.008 11.876 0.000 0.089 0.161
.withdep_comp_3 ~~
.anxdep_comp_6 0.136 0.008 16.559 0.000 0.136 0.237
.soma_comp_3 ~~
.anxdep_comp_6 0.080 0.008 10.502 0.000 0.080 0.143
.withdep_comp_4 ~~
.anxdep_comp_6 0.164 0.009 18.041 0.000 0.164 0.261
.soma_comp_4 ~~
.anxdep_comp_6 0.118 0.008 14.037 0.000 0.118 0.199
.withdep_comp_5 ~~
.anxdep_comp_6 0.194 0.010 19.794 0.000 0.194 0.294
.soma_comp_5 ~~
.anxdep_comp_6 0.128 0.009 13.848 0.000 0.128 0.197
.anxdep_comp_6 ~~
.withdep_comp_6 0.231 0.010 22.624 0.000 0.231 0.364
.soma_comp_6 0.174 0.010 17.427 0.000 0.174 0.265
.withdep_comp_0 ~~
.soma_comp_0 0.053 0.006 9.533 0.000 0.053 0.099
.soma_comp_1 0.053 0.006 9.259 0.000 0.053 0.098
.soma_comp_2 0.038 0.006 6.916 0.000 0.038 0.074
.soma_comp_3 0.026 0.006 4.653 0.000 0.026 0.051
.soma_comp_4 0.018 0.006 2.970 0.003 0.018 0.033
.soma_comp_5 -0.009 0.007 -1.318 0.188 -0.009 -0.015
.soma_comp_6 -0.008 0.009 -0.975 0.330 -0.008 -0.014
.soma_comp_0 ~~
.withdep_comp_1 0.037 0.006 6.440 0.000 0.037 0.066
.withdep_comp_1 ~~
.soma_comp_1 0.066 0.006 11.284 0.000 0.066 0.118
.soma_comp_2 0.050 0.006 8.820 0.000 0.050 0.093
.soma_comp_3 0.050 0.006 8.624 0.000 0.050 0.093
.soma_comp_4 0.038 0.006 6.023 0.000 0.038 0.066
.soma_comp_5 0.033 0.007 4.685 0.000 0.033 0.054
.soma_comp_6 0.017 0.009 1.965 0.049 0.017 0.027
.soma_comp_0 ~~
.withdep_comp_2 0.051 0.006 7.994 0.000 0.051 0.083
.soma_comp_1 ~~
.withdep_comp_2 0.066 0.006 10.226 0.000 0.066 0.107
.withdep_comp_2 ~~
.soma_comp_2 0.081 0.006 13.022 0.000 0.081 0.137
.soma_comp_3 0.061 0.006 9.653 0.000 0.061 0.103
.soma_comp_4 0.079 0.007 11.361 0.000 0.079 0.125
.soma_comp_5 0.071 0.008 9.094 0.000 0.071 0.104
.soma_comp_6 0.054 0.010 5.500 0.000 0.054 0.078
.soma_comp_0 ~~
.withdep_comp_3 0.067 0.007 9.084 0.000 0.067 0.096
.soma_comp_1 ~~
.withdep_comp_3 0.061 0.007 8.175 0.000 0.061 0.087
.soma_comp_2 ~~
.withdep_comp_3 0.067 0.007 9.371 0.000 0.067 0.100
.withdep_comp_3 ~~
.soma_comp_3 0.089 0.007 12.213 0.000 0.089 0.132
.soma_comp_4 0.117 0.008 14.579 0.000 0.117 0.163
.soma_comp_5 0.129 0.009 14.292 0.000 0.129 0.165
.soma_comp_6 0.130 0.011 11.861 0.000 0.130 0.164
.soma_comp_0 ~~
.withdep_comp_4 0.058 0.008 6.974 0.000 0.058 0.076
.soma_comp_1 ~~
.withdep_comp_4 0.071 0.008 8.539 0.000 0.071 0.093
.soma_comp_2 ~~
.withdep_comp_4 0.067 0.008 8.273 0.000 0.067 0.091
.soma_comp_3 ~~
.withdep_comp_4 0.089 0.008 10.818 0.000 0.089 0.121
.withdep_comp_4 ~~
.soma_comp_4 0.157 0.009 17.657 0.000 0.157 0.201
.soma_comp_5 0.154 0.010 15.363 0.000 0.154 0.180
.soma_comp_6 0.171 0.012 14.196 0.000 0.171 0.198
.soma_comp_0 ~~
.withdep_comp_5 0.051 0.009 5.589 0.000 0.051 0.064
.soma_comp_1 ~~
.withdep_comp_5 0.065 0.009 7.086 0.000 0.065 0.081
.soma_comp_2 ~~
.withdep_comp_5 0.060 0.009 6.871 0.000 0.060 0.079
.soma_comp_3 ~~
.withdep_comp_5 0.081 0.009 9.049 0.000 0.081 0.105
.soma_comp_4 ~~
.withdep_comp_5 0.146 0.010 15.031 0.000 0.146 0.178
.withdep_comp_5 ~~
.soma_comp_5 0.219 0.011 20.289 0.000 0.219 0.244
.soma_comp_6 0.204 0.013 15.775 0.000 0.204 0.225
.soma_comp_0 ~~
.withdep_comp_6 0.058 0.010 5.607 0.000 0.058 0.076
.soma_comp_1 ~~
.withdep_comp_6 0.046 0.010 4.397 0.000 0.046 0.060
.soma_comp_2 ~~
.withdep_comp_6 0.047 0.010 4.750 0.000 0.047 0.063
.soma_comp_3 ~~
.withdep_comp_6 0.057 0.010 5.735 0.000 0.057 0.077
.soma_comp_4 ~~
.withdep_comp_6 0.103 0.011 9.361 0.000 0.103 0.130
.soma_comp_5 ~~
.withdep_comp_6 0.145 0.012 12.085 0.000 0.145 0.168
.withdep_comp_6 ~~
.soma_comp_6 0.214 0.013 16.479 0.000 0.214 0.246
.rulebreak_comp_0 ~~
.aggress_comp_0 0.222 0.006 38.534 0.000 0.222 0.468
.aggress_comp_1 0.173 0.005 32.079 0.000 0.173 0.376
.aggress_comp_2 0.162 0.005 30.535 0.000 0.162 0.360
.aggress_comp_3 0.139 0.005 26.256 0.000 0.139 0.315
.aggress_comp_4 0.131 0.005 25.759 0.000 0.131 0.318
.aggress_comp_5 0.134 0.005 25.614 0.000 0.134 0.324
.aggress_comp_6 0.112 0.006 19.765 0.000 0.112 0.298
.aggress_comp_0 ~~
.rulebrek_cmp_1 0.182 0.006 32.835 0.000 0.182 0.383
.rulebreak_comp_1 ~~
.aggress_comp_1 0.217 0.006 37.876 0.000 0.217 0.470
.aggress_comp_2 0.170 0.005 31.733 0.000 0.170 0.378
.aggress_comp_3 0.152 0.005 28.362 0.000 0.152 0.343
.aggress_comp_4 0.145 0.005 28.064 0.000 0.145 0.350
.aggress_comp_5 0.136 0.005 25.788 0.000 0.136 0.328
.aggress_comp_6 0.124 0.006 21.419 0.000 0.124 0.328
.aggress_comp_0 ~~
.rulebrek_cmp_2 0.162 0.006 28.875 0.000 0.162 0.334
.aggress_comp_1 ~~
.rulebrek_cmp_2 0.165 0.006 29.915 0.000 0.165 0.352
.rulebreak_comp_2 ~~
.aggress_comp_2 0.223 0.006 38.448 0.000 0.223 0.487
.aggress_comp_3 0.169 0.006 30.153 0.000 0.169 0.373
.aggress_comp_4 0.143 0.005 27.127 0.000 0.143 0.340
.aggress_comp_5 0.144 0.005 26.657 0.000 0.144 0.340
.aggress_comp_6 0.141 0.006 23.692 0.000 0.141 0.365
.aggress_comp_0 ~~
.rulebrek_cmp_3 0.162 0.006 27.718 0.000 0.162 0.325
.aggress_comp_1 ~~
.rulebrek_cmp_3 0.165 0.006 28.717 0.000 0.165 0.342
.aggress_comp_2 ~~
.rulebrek_cmp_3 0.180 0.006 31.424 0.000 0.180 0.383
.rulebreak_comp_3 ~~
.aggress_comp_3 0.232 0.006 37.977 0.000 0.232 0.499
.aggress_comp_4 0.167 0.006 30.161 0.000 0.167 0.385
.aggress_comp_5 0.156 0.006 27.744 0.000 0.156 0.360
.aggress_comp_6 0.154 0.006 25.644 0.000 0.154 0.389
.aggress_comp_0 ~~
.rulebrek_cmp_4 0.185 0.007 27.071 0.000 0.185 0.321
.aggress_comp_1 ~~
.rulebrek_cmp_4 0.191 0.007 28.585 0.000 0.191 0.343
.aggress_comp_2 ~~
.rulebrek_cmp_4 0.190 0.007 28.818 0.000 0.190 0.349
.aggress_comp_3 ~~
.rulebrek_cmp_4 0.206 0.007 30.415 0.000 0.206 0.383
.rulebreak_comp_4 ~~
.aggress_comp_4 0.251 0.007 37.304 0.000 0.251 0.501
.aggress_comp_5 0.209 0.007 31.313 0.000 0.209 0.416
.aggress_comp_6 0.175 0.007 24.743 0.000 0.175 0.382
.aggress_comp_0 ~~
.rulebrek_cmp_5 0.218 0.008 26.577 0.000 0.218 0.323
.aggress_comp_1 ~~
.rulebrek_cmp_5 0.204 0.008 25.628 0.000 0.204 0.312
.aggress_comp_2 ~~
.rulebrek_cmp_5 0.229 0.008 28.905 0.000 0.229 0.359
.aggress_comp_3 ~~
.rulebrek_cmp_5 0.227 0.008 28.261 0.000 0.227 0.361
.aggress_comp_4 ~~
.rulebrek_cmp_5 0.235 0.008 30.642 0.000 0.235 0.400
.rulebreak_comp_5 ~~
.aggress_comp_5 0.311 0.008 38.001 0.000 0.311 0.531
.aggress_comp_6 0.238 0.008 28.588 0.000 0.238 0.444
.aggress_comp_0 ~~
.rulebrek_cmp_6 0.199 0.010 20.610 0.000 0.199 0.288
.aggress_comp_1 ~~
.rulebrek_cmp_6 0.181 0.009 19.131 0.000 0.181 0.271
.aggress_comp_2 ~~
.rulebrek_cmp_6 0.215 0.009 23.169 0.000 0.215 0.329
.aggress_comp_3 ~~
.rulebrek_cmp_6 0.223 0.009 24.112 0.000 0.223 0.346
.aggress_comp_4 ~~
.rulebrek_cmp_6 0.227 0.009 25.594 0.000 0.227 0.378
.aggress_comp_5 ~~
.rulebrek_cmp_6 0.251 0.009 27.448 0.000 0.251 0.418
.rulebreak_comp_6 ~~
.aggress_comp_6 0.275 0.009 29.387 0.000 0.275 0.501
p_i ~~
p_s -0.090 0.007 -13.504 0.000 -0.313 -0.313
p_q 0.009 0.002 4.577 0.000 0.109 0.109
p_s ~~
p_q -0.045 0.002 -18.279 0.000 -0.897 -0.897
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.anxd__0 (ta_X) -0.016 0.005 -3.224 0.001 -0.016 -0.016
.anxd__1 (ta_X) -0.016 0.005 -3.224 0.001 -0.016 -0.016
.anxd__2 (ta_X) -0.016 0.005 -3.224 0.001 -0.016 -0.016
.anxd__3 (ta_X) -0.016 0.005 -3.224 0.001 -0.016 -0.016
.anxd__4 (ta_X) -0.016 0.005 -3.224 0.001 -0.016 -0.016
.anxd__5 (ta_X) -0.016 0.005 -3.224 0.001 -0.016 -0.016
.anxd__6 (ta_X) -0.016 0.005 -3.224 0.001 -0.016 -0.017
.wthd__0 (ta_W) -0.081 0.005 -15.929 0.000 -0.081 -0.089
.wthd__1 (ta_W) -0.081 0.005 -15.929 0.000 -0.081 -0.089
.wthd__2 (ta_W) -0.081 0.005 -15.929 0.000 -0.081 -0.084
.wthd__3 (ta_W) -0.081 0.005 -15.929 0.000 -0.081 -0.079
.wthd__4 (ta_W) -0.081 0.005 -15.929 0.000 -0.081 -0.074
.wthd__5 (ta_W) -0.081 0.005 -15.929 0.000 -0.081 -0.072
.wthd__6 (ta_W) -0.081 0.005 -15.929 0.000 -0.081 -0.075
.sm_cm_0 (ta_S) -0.018 0.006 -3.062 0.002 -0.018 -0.018
.sm_cm_1 (ta_S) -0.018 0.006 -3.062 0.002 -0.018 -0.019
.sm_cm_2 (ta_S) -0.018 0.006 -3.062 0.002 -0.018 -0.019
.sm_cm_3 (ta_S) -0.018 0.006 -3.062 0.002 -0.018 -0.019
.sm_cm_4 (ta_S) -0.018 0.006 -3.062 0.002 -0.018 -0.018
.sm_cm_5 (ta_S) -0.018 0.006 -3.062 0.002 -0.018 -0.017
.sm_cm_6 (ta_S) -0.018 0.006 -3.062 0.002 -0.018 -0.017
.scpr__0 (ta_P) 0.025 0.004 6.348 0.000 0.025 0.024
.scpr__1 (ta_P) 0.025 0.004 6.348 0.000 0.025 0.025
.scpr__2 (ta_P) 0.025 0.004 6.348 0.000 0.025 0.025
.scpr__3 (ta_P) 0.025 0.004 6.348 0.000 0.025 0.026
.scpr__4 (ta_P) 0.025 0.004 6.348 0.000 0.025 0.026
.scpr__5 (ta_P) 0.025 0.004 6.348 0.000 0.025 0.027
.scpr__6 (ta_P) 0.025 0.004 6.348 0.000 0.025 0.028
.thpr__0 (ta_H) 0.027 0.004 6.792 0.000 0.027 0.026
.thpr__1 (ta_H) 0.027 0.004 6.792 0.000 0.027 0.026
.thpr__2 (ta_H) 0.027 0.004 6.792 0.000 0.027 0.027
.thpr__3 (ta_H) 0.027 0.004 6.792 0.000 0.027 0.028
.thpr__4 (ta_H) 0.027 0.004 6.792 0.000 0.027 0.028
.thpr__5 (ta_H) 0.027 0.004 6.792 0.000 0.027 0.027
.thpr__6 (ta_H) 0.027 0.004 6.792 0.000 0.027 0.030
.attp__0 (ta_A) 0.031 0.005 6.576 0.000 0.031 0.031
.attp__1 (ta_A) 0.031 0.005 6.576 0.000 0.031 0.031
.attp__2 (ta_A) 0.031 0.005 6.576 0.000 0.031 0.032
.attp__3 (ta_A) 0.031 0.005 6.576 0.000 0.031 0.032
.attp__4 (ta_A) 0.031 0.005 6.576 0.000 0.031 0.033
.attp__5 (ta_A) 0.031 0.005 6.576 0.000 0.031 0.033
.attp__6 (ta_A) 0.031 0.005 6.576 0.000 0.031 0.034
.rlbr__0 (ta_R) -0.021 0.005 -4.171 0.000 -0.021 -0.022
.rlbr__1 (ta_R) -0.021 0.005 -4.171 0.000 -0.021 -0.022
.rlbr__2 (ta_R) -0.021 0.005 -4.171 0.000 -0.021 -0.022
.rlbr__3 (ta_R) -0.021 0.005 -4.171 0.000 -0.021 -0.022
.rlbr__4 (ta_R) -0.021 0.005 -4.171 0.000 -0.021 -0.020
.rlbr__5 (ta_R) -0.021 0.005 -4.171 0.000 -0.021 -0.018
.rlbr__6 (ta_R) -0.021 0.005 -4.171 0.000 -0.021 -0.018
.aggr__0 (ta_G) -0.004 0.004 -0.891 0.373 -0.004 -0.004
.aggr__1 (ta_G) -0.004 0.004 -0.891 0.373 -0.004 -0.004
.aggr__2 (ta_G) -0.004 0.004 -0.891 0.373 -0.004 -0.004
.aggr__3 (ta_G) -0.004 0.004 -0.891 0.373 -0.004 -0.004
.aggr__4 (ta_G) -0.004 0.004 -0.891 0.373 -0.004 -0.004
.aggr__5 (ta_G) -0.004 0.004 -0.891 0.373 -0.004 -0.004
.aggr__6 (ta_G) -0.004 0.004 -0.891 0.373 -0.004 -0.004
p_i 0.051 0.007 7.223 0.000 0.075 0.075
p_s -0.049 0.006 -7.476 0.000 -0.116 -0.116
p_q -0.004 0.002 -1.946 0.052 -0.034 -0.034
.p_etaB 0.000 0.000 0.000
.p_eta1 0.000 0.000 0.000
.p_eta2 0.000 0.000 0.000
.p_eta3 0.000 0.000 0.000
.p_eta4 0.000 0.000 0.000
.p_eta5 0.000 0.000 0.000
.p_eta6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.p_etaB 0.088 0.004 20.663 0.000 0.159 0.159
.p_eta1 0.119 0.003 41.079 0.000 0.222 0.222
.p_eta2 0.119 0.003 42.056 0.000 0.228 0.228
.p_eta3 0.107 0.003 38.410 0.000 0.211 0.211
.p_eta4 0.112 0.003 38.820 0.000 0.223 0.223
.p_eta5 0.109 0.003 35.040 0.000 0.224 0.224
.p_eta6 0.038 0.004 8.493 0.000 0.087 0.087
.anxdep_comp_0 0.514 0.008 66.623 0.000 0.514 0.481
.withdep_comp_0 0.412 0.006 65.232 0.000 0.412 0.500
.soma_comp_0 0.701 0.010 72.667 0.000 0.701 0.701
.socprob_comp_0 0.420 0.007 60.335 0.000 0.420 0.375
.thouprob_cmp_0 0.403 0.007 61.751 0.000 0.403 0.371
.attprob_comp_0 0.452 0.007 65.345 0.000 0.452 0.449
.rulebrek_cmp_0 0.481 0.007 68.766 0.000 0.481 0.540
.aggress_comp_0 0.469 0.007 63.759 0.000 0.469 0.424
.anxdep_comp_1 0.531 0.008 65.651 0.000 0.531 0.499
.withdep_comp_1 0.439 0.007 66.305 0.000 0.439 0.526
.soma_comp_1 0.708 0.010 71.068 0.000 0.708 0.711
.socprob_comp_1 0.388 0.007 58.663 0.000 0.388 0.365
.thouprob_cmp_1 0.415 0.007 60.758 0.000 0.415 0.387
.attprob_comp_1 0.444 0.007 64.201 0.000 0.444 0.454
.rulebrek_cmp_1 0.482 0.007 67.009 0.000 0.482 0.550
.aggress_comp_1 0.440 0.007 62.526 0.000 0.440 0.419
.anxdep_comp_2 0.504 0.008 65.035 0.000 0.504 0.490
.withdep_comp_2 0.538 0.008 67.279 0.000 0.538 0.581
.soma_comp_2 0.647 0.009 69.776 0.000 0.647 0.696
.socprob_comp_2 0.348 0.006 57.258 0.000 0.348 0.345
.thouprob_cmp_2 0.367 0.006 58.695 0.000 0.367 0.363
.attprob_comp_2 0.418 0.007 63.314 0.000 0.418 0.444
.rulebrek_cmp_2 0.500 0.008 66.077 0.000 0.500 0.564
.aggress_comp_2 0.420 0.007 61.513 0.000 0.420 0.412
.anxdep_comp_3 0.531 0.008 63.721 0.000 0.531 0.511
.withdep_comp_3 0.689 0.011 65.620 0.000 0.689 0.647
.soma_comp_3 0.651 0.010 67.738 0.000 0.651 0.704
.socprob_comp_3 0.318 0.006 54.899 0.000 0.318 0.332
.thouprob_cmp_3 0.341 0.006 56.151 0.000 0.341 0.353
.attprob_comp_3 0.415 0.007 61.825 0.000 0.415 0.450
.rulebrek_cmp_3 0.529 0.008 63.615 0.000 0.529 0.585
.aggress_comp_3 0.408 0.007 59.592 0.000 0.408 0.413
.anxdep_comp_4 0.501 0.008 61.493 0.000 0.501 0.501
.withdep_comp_4 0.828 0.013 63.174 0.000 0.828 0.691
.soma_comp_4 0.740 0.011 65.781 0.000 0.740 0.733
.socprob_comp_4 0.302 0.006 53.015 0.000 0.302 0.324
.thouprob_cmp_4 0.322 0.006 53.889 0.000 0.322 0.344
.attprob_comp_4 0.380 0.006 59.396 0.000 0.380 0.432
.rulebrek_cmp_4 0.709 0.011 62.988 0.000 0.709 0.658
.aggress_comp_4 0.355 0.006 57.051 0.000 0.355 0.383
.anxdep_comp_5 0.528 0.009 58.861 0.000 0.528 0.520
.withdep_comp_5 0.912 0.015 60.404 0.000 0.912 0.716
.soma_comp_5 0.884 0.014 62.798 0.000 0.884 0.771
.socprob_comp_5 0.295 0.006 49.823 0.000 0.295 0.325
.thouprob_cmp_5 0.375 0.007 52.913 0.000 0.375 0.385
.attprob_comp_5 0.396 0.007 57.486 0.000 0.396 0.449
.rulebrek_cmp_5 0.969 0.016 61.572 0.000 0.969 0.730
.aggress_comp_5 0.355 0.006 54.700 0.000 0.355 0.389
.anxdep_comp_6 0.477 0.010 47.046 0.000 0.477 0.521
.withdep_comp_6 0.844 0.017 48.478 0.000 0.844 0.722
.soma_comp_6 0.902 0.018 50.151 0.000 0.902 0.792
.socprob_comp_6 0.254 0.007 38.590 0.000 0.254 0.315
.thouprob_cmp_6 0.296 0.007 40.036 0.000 0.296 0.354
.attprob_comp_6 0.369 0.008 46.541 0.000 0.369 0.457
.rulebrek_cmp_6 1.018 0.020 50.032 0.000 1.018 0.759
.aggress_comp_6 0.297 0.007 43.029 0.000 0.297 0.371
p_i 0.467 0.010 48.926 0.000 1.000 1.000
p_s 0.175 0.008 21.257 0.000 1.000 1.000
p_q 0.015 0.001 18.035 0.000 1.000 1.000
R-Square:
Estimate
p_etaB 0.841
p_eta1 0.778
p_eta2 0.772
p_eta3 0.789
p_eta4 0.777
p_eta5 0.776
p_eta6 0.913
anxdep_comp_0 0.519
withdep_comp_0 0.500
soma_comp_0 0.299
socprob_comp_0 0.625
thouprob_cmp_0 0.629
attprob_comp_0 0.551
rulebrek_cmp_0 0.460
aggress_comp_0 0.576
anxdep_comp_1 0.501
withdep_comp_1 0.474
soma_comp_1 0.289
socprob_comp_1 0.635
thouprob_cmp_1 0.613
attprob_comp_1 0.546
rulebrek_cmp_1 0.450
aggress_comp_1 0.581
anxdep_comp_2 0.510
withdep_comp_2 0.419
soma_comp_2 0.304
socprob_comp_2 0.655
thouprob_cmp_2 0.637
attprob_comp_2 0.556
rulebrek_cmp_2 0.436
aggress_comp_2 0.588
anxdep_comp_3 0.489
withdep_comp_3 0.353
soma_comp_3 0.296
socprob_comp_3 0.668
thouprob_cmp_3 0.647
attprob_comp_3 0.550
rulebrek_cmp_3 0.415
aggress_comp_3 0.587
anxdep_comp_4 0.499
withdep_comp_4 0.309
soma_comp_4 0.267
socprob_comp_4 0.676
thouprob_cmp_4 0.656
attprob_comp_4 0.568
rulebrek_cmp_4 0.342
aggress_comp_4 0.617
anxdep_comp_5 0.480
withdep_comp_5 0.284
soma_comp_5 0.229
socprob_comp_5 0.675
thouprob_cmp_5 0.615
attprob_comp_5 0.551
rulebrek_cmp_5 0.270
aggress_comp_5 0.611
anxdep_comp_6 0.479
withdep_comp_6 0.278
soma_comp_6 0.208
socprob_comp_6 0.685
thouprob_cmp_6 0.646
attprob_comp_6 0.543
rulebrek_cmp_6 0.241
aggress_comp_6 0.629
ICC
lavPredict(readRDS("lgcm_pc_7t_model.rds"),
newdata = pc_factor_nolow_wide.scaled,
append.data = T
) %>%
data.frame() %>%
select(contains(c("p_eta"))) %>%
ICC(lmer = T) %>%
saveRDS("pc_7t_icc.rds")readRDS("pc_7t_icc.rds") %>%
{
\(x) x$results
}() %>%
knitr::kable()| type | ICC | F | df1 | df2 | p | lower bound | upper bound | |
|---|---|---|---|---|---|---|---|---|
| Single_raters_absolute | ICC1 | 0.7509969 | 22.1121 | 11866 | 71202 | 0 | 0.7455985 | 0.7563640 |
| Single_random_raters | ICC2 | 0.7513432 | 23.0132 | 11866 | 71196 | 0 | 0.7412708 | 0.7610067 |
| Single_fixed_raters | ICC3 | 0.7587305 | 23.0132 | 11866 | 71196 | 0 | 0.7534547 | 0.7639739 |
| Average_raters_absolute | ICC1k | 0.9547759 | 22.1121 | 11866 | 71202 | 0 | 0.9535220 | 0.9560080 |
| Average_random_raters | ICC2k | 0.9548558 | 23.0132 | 11866 | 71196 | 0 | 0.9525061 | 0.9570623 |
| Average_fixed_raters | ICC3k | 0.9565467 | 23.0132 | 11866 | 71196 | 0 | 0.9553419 | 0.9577305 |
LGCM plot
lgcm_plot(readRDS("lgcm_pc_7t_model.rds")) +
labs(y = "Children's\nPsychopathology") +
scale_x_continuous(
breaks = seq(0, 3, .5),
labels = c("10", "11", "12", "13", "14", "15", "16")
) +
# add significant results for intercept and slope
annotate(geom = "text", x = 2.4, y = 0.045, label = 'paste(" ",italic("i")," = .051***")', parse = TRUE, size = 10) +
annotate(geom = "text", x = 2.4, y = 0.02, label = 'paste(italic("s")," = -.049***")', parse = TRUE, size = 10) +
annotate(geom = "text", x = 2.4, y = -0.01, label = 'paste(italic("q")," = -.004 ")', parse = TRUE, size = 10)
Model comparison
lapply(
c(
"pc_7t_config_result.rds",
"pc_7t_weak_result.rds",
"pc_7t_strong_result.rds",
"lgcm_pc_7t_result.rds"
),
function(f) {
readRDS(f)$fit[c(
"chisq", "df", "pvalue",
"cfi.robust", "tli.robust",
"rmsea.robust", "rmsea.ci.lower.robust",
"rmsea.ci.upper.robust", "srmr"
)]
}
) %>%
do.call(rbind, .) %>%
round(3) %>%
data.frame(model = c("config", "weak", "strong", "LGCM"), ., row.names = NULL) %>%
knitr::kable()| model | chisq | df | pvalue | cfi.robust | tli.robust | rmsea.robust | rmsea.ci.lower.robust | rmsea.ci.upper.robust | srmr |
|---|---|---|---|---|---|---|---|---|---|
| config | 7935.205 | 1099 | 0 | 0.987 | 0.982 | 0.026 | 0.025 | 0.026 | 0.046 |
| weak | 11464.355 | 1141 | 0 | 0.980 | 0.972 | 0.032 | 0.031 | 0.032 | 0.057 |
| strong | 17037.322 | 1185 | 0 | 0.968 | 0.958 | 0.039 | 0.038 | 0.039 | 0.061 |
| LGCM | 16868.010 | 1201 | 0 | 0.969 | 0.960 | 0.038 | 0.038 | 0.039 | 0.062 |
pc factor symptom model
Externalizing model
lg.ext6.strong.invar <- "# basis model
p_i =~ 1*Ext_comp_0 + 1*Ext_comp_1 + 1*Ext_comp_2 + 1*Ext_comp_3 + 1*Ext_comp_4 + 1*Ext_comp_5 + 1*Ext_comp_6
p_s =~ 0*Ext_comp_0 + .5*Ext_comp_1 + 1*Ext_comp_2 + 1.5*Ext_comp_3 + 2*Ext_comp_4 + 2.5*Ext_comp_5 + 3*Ext_comp_6
p_q =~ 0*Ext_comp_0 + .25*Ext_comp_1 + 1*Ext_comp_2 + 2.25*Ext_comp_3 + 4*Ext_comp_4 + 6.25*Ext_comp_5 + 9*Ext_comp_6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1
p_s~1
p_q~1
Ext_comp_0 ~~ NA*Ext_comp_0
Ext_comp_1 ~~ NA*Ext_comp_1
Ext_comp_2 ~~ NA*Ext_comp_2
Ext_comp_3 ~~ NA*Ext_comp_3
Ext_comp_4 ~~ NA*Ext_comp_4
Ext_comp_5 ~~ NA*Ext_comp_5
Ext_comp_6 ~~ NA*Ext_comp_6
Ext_comp_0 ~ 0*1
Ext_comp_1 ~ 0*1
Ext_comp_2 ~ 0*1
Ext_comp_3 ~ 0*1
Ext_comp_4 ~ 0*1
Ext_comp_5 ~ 0*1
Ext_comp_6 ~ 0*1"
lavaan(lg.ext6.strong.invar,
data = pc_factor_nolow_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("lgcm_Ext_7t_model.rds")result
readRDS("lgcm_Ext_7t_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("lgcm_Ext_7t_result.rds")# Check for Haywood case
eigen(inspect(readRDS("lgcm_Ext_7t_model.rds"), "cor.lv"))$value[1] 1.99577858 0.91833605 0.08588537
readRDS("lgcm_Ext_7t_result.rds")lavaan 0.6-19 ended normally after 44 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 16
Used Total
Number of observations 11865 11867
Number of missing patterns 72
Model Test User Model:
Test statistic 526.624
Degrees of freedom 19
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 47700.409
Degrees of freedom 21
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.989
Tucker-Lewis Index (TLI) 0.988
Robust Comparative Fit Index (CFI) 0.987
Robust Tucker-Lewis Index (TLI) 0.986
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -71417.188
Loglikelihood unrestricted model (H1) -71153.876
Akaike (AIC) 142866.375
Bayesian (BIC) 142984.477
Sample-size adjusted Bayesian (SABIC) 142933.631
Root Mean Square Error of Approximation:
RMSEA 0.047
90 Percent confidence interval - lower 0.044
90 Percent confidence interval - upper 0.051
P-value H_0: RMSEA <= 0.050 0.880
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.062
90 Percent confidence interval - lower 0.057
90 Percent confidence interval - upper 0.066
P-value H_0: Robust RMSEA <= 0.050 0.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.026
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i =~
Ext_comp_0 1.000 0.948 0.895
Ext_comp_1 1.000 0.948 0.919
Ext_comp_2 1.000 0.948 0.933
Ext_comp_3 1.000 0.948 0.944
Ext_comp_4 1.000 0.948 0.962
Ext_comp_5 1.000 0.948 0.969
Ext_comp_6 1.000 0.948 1.021
p_s =~
Ext_comp_0 0.000 0.000 0.000
Ext_comp_1 0.500 0.282 0.273
Ext_comp_2 1.000 0.563 0.554
Ext_comp_3 1.500 0.845 0.841
Ext_comp_4 2.000 1.126 1.144
Ext_comp_5 2.500 1.408 1.440
Ext_comp_6 3.000 1.689 1.820
p_q =~
Ext_comp_0 0.000 0.000 0.000
Ext_comp_1 0.250 0.041 0.040
Ext_comp_2 1.000 0.163 0.161
Ext_comp_3 2.250 0.367 0.366
Ext_comp_4 4.000 0.653 0.663
Ext_comp_5 6.250 1.020 1.043
Ext_comp_6 9.000 1.468 1.581
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i ~~
p_s -0.181 0.012 -15.197 0.000 -0.339 -0.339
p_q 0.019 0.004 5.383 0.000 0.124 0.124
p_s ~~
p_q -0.081 0.004 -18.486 0.000 -0.887 -0.887
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i 0.094 0.010 9.849 0.000 0.099 0.099
p_s -0.055 0.009 -6.412 0.000 -0.098 -0.098
p_q -0.004 0.003 -1.374 0.169 -0.024 -0.024
.Ext_comp_0 0.000 0.000 0.000
.Ext_comp_1 0.000 0.000 0.000
.Ext_comp_2 0.000 0.000 0.000
.Ext_comp_3 0.000 0.000 0.000
.Ext_comp_4 0.000 0.000 0.000
.Ext_comp_5 0.000 0.000 0.000
.Ext_comp_6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i 0.898 0.015 59.727 0.000 1.000 1.000
p_s 0.317 0.014 21.910 0.000 1.000 1.000
p_q 0.027 0.001 18.409 0.000 1.000 1.000
.Ext_comp_0 0.224 0.008 28.772 0.000 0.224 0.200
.Ext_comp_1 0.276 0.005 55.825 0.000 0.276 0.260
.Ext_comp_2 0.277 0.005 56.804 0.000 0.277 0.268
.Ext_comp_3 0.268 0.005 53.405 0.000 0.268 0.266
.Ext_comp_4 0.251 0.005 51.906 0.000 0.251 0.259
.Ext_comp_5 0.247 0.005 46.518 0.000 0.247 0.258
.Ext_comp_6 0.095 0.008 12.048 0.000 0.095 0.110
R-Square:
Estimate
Ext_comp_0 0.800
Ext_comp_1 0.740
Ext_comp_2 0.732
Ext_comp_3 0.734
Ext_comp_4 0.741
Ext_comp_5 0.742
Ext_comp_6 0.890
ICC
lavPredict(readRDS("lgcm_Ext_7t_model.rds"),
newdata = pc_factor_nolow_wide.scaled,
append.data = T
) %>%
data.frame() %>%
select(contains(c("Ext_comp_"))) %>%
ICC(lmer = T) %>%
saveRDS("Ext_pc_7t_icc.rds")readRDS("Ext_pc_7t_icc.rds") %>%
{
\(x) x$results
}() %>%
knitr::kable()| type | ICC | F | df1 | df2 | p | lower bound | upper bound | |
|---|---|---|---|---|---|---|---|---|
| Single_raters_absolute | ICC1 | 0.6700728 | 15.21680 | 11866 | 71202 | 0 | 0.6635632 | 0.6765695 |
| Single_random_raters | ICC2 | 0.6703378 | 15.48083 | 11866 | 71196 | 0 | 0.6625279 | 0.6780627 |
| Single_fixed_raters | ICC3 | 0.6741281 | 15.48083 | 11866 | 71196 | 0 | 0.6676667 | 0.6805754 |
| Average_raters_absolute | ICC1k | 0.9342832 | 15.21680 | 11866 | 71202 | 0 | 0.9324611 | 0.9360736 |
| Average_random_raters | ICC2k | 0.9343567 | 15.48083 | 11866 | 71196 | 0 | 0.9321687 | 0.9364812 |
| Average_fixed_raters | ICC3k | 0.9354040 | 15.48083 | 11866 | 71196 | 0 | 0.9336130 | 0.9371639 |
Growth curve plot
lgcm_plot(readRDS("lgcm_Ext_7t_model.rds")) +
labs(y = "Children's\nExternalizing") +
scale_x_continuous(
breaks = seq(0, 3, .5),
labels = c("10", "11", "12", "13", "14", "15", "16")
) +
coord_cartesian(ylim = c(-.1, 0.1)) +
annotate(geom = "text", x = 2.3, y = 0.09, label = 'paste(" ",italic("i")," = .094***")', parse = TRUE, size = 10) +
annotate(geom = "text", x = 2.3, y = 0.055, label = 'paste(italic("s")," = -.055***")', parse = TRUE, size = 10) +
annotate(geom = "text", x = 2.3, y = 0.02, label = 'paste(italic("q")," = .004 ")', parse = TRUE, size = 10)
Internalizing model
lg.int6.strong.invar <- "# basis model
p_i =~ 1*Int_comp_0 + 1*Int_comp_1 + 1*Int_comp_2 + 1*Int_comp_3 + 1*Int_comp_4 + 1*Int_comp_5 + 1*Int_comp_6
p_s =~ 0*Int_comp_0 + .5*Int_comp_1 + 1*Int_comp_2 + 1.5*Int_comp_3 + 2*Int_comp_4 + 2.5*Int_comp_5 + 3*Int_comp_6
p_q =~ 0*Int_comp_0 + .25*Int_comp_1 + 1*Int_comp_2 + 2.25*Int_comp_3 + 4*Int_comp_4 + 6.25*Int_comp_5 + 9*Int_comp_6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1
p_s~1
p_q~1
Int_comp_0 ~~ NA*Int_comp_0
Int_comp_1 ~~ NA*Int_comp_1
Int_comp_2 ~~ NA*Int_comp_2
Int_comp_3 ~~ NA*Int_comp_3
Int_comp_4 ~~ NA*Int_comp_4
Int_comp_5 ~~ NA*Int_comp_5
Int_comp_6 ~~ NA*Int_comp_6
Int_comp_0 ~ 0*1
Int_comp_1 ~ 0*1
Int_comp_2 ~ 0*1
Int_comp_3 ~ 0*1
Int_comp_4 ~ 0*1
Int_comp_5 ~ 0*1
Int_comp_6 ~ 0*1"
lavaan(lg.int6.strong.invar,
data = pc_factor_nolow_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("lgcm_Int_7t_model.rds")result
readRDS("lgcm_Int_7t_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("lgcm_Int_7t_result.rds")# Check for Haywood case
eigen(inspect(readRDS("lgcm_Int_7t_model.rds"), "cor.lv"))$value[1] 1.9544648 0.9316012 0.1139340
readRDS("lgcm_Int_7t_result.rds")lavaan 0.6-19 ended normally after 35 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 16
Used Total
Number of observations 11865 11867
Number of missing patterns 72
Model Test User Model:
Test statistic 618.086
Degrees of freedom 19
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 40259.476
Degrees of freedom 21
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.985
Tucker-Lewis Index (TLI) 0.984
Robust Comparative Fit Index (CFI) 0.981
Robust Tucker-Lewis Index (TLI) 0.979
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -75052.743
Loglikelihood unrestricted model (H1) -74743.701
Akaike (AIC) 150137.487
Bayesian (BIC) 150255.588
Sample-size adjusted Bayesian (SABIC) 150204.742
Root Mean Square Error of Approximation:
RMSEA 0.052
90 Percent confidence interval - lower 0.048
90 Percent confidence interval - upper 0.055
P-value H_0: RMSEA <= 0.050 0.226
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.068
90 Percent confidence interval - lower 0.064
90 Percent confidence interval - upper 0.073
P-value H_0: Robust RMSEA <= 0.050 0.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.036
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i =~
Int_comp_0 1.000 0.801 0.881
Int_comp_1 1.000 0.801 0.854
Int_comp_2 1.000 0.801 0.825
Int_comp_3 1.000 0.801 0.792
Int_comp_4 1.000 0.801 0.755
Int_comp_5 1.000 0.801 0.719
Int_comp_6 1.000 0.801 0.704
p_s =~
Int_comp_0 0.000 0.000 0.000
Int_comp_1 0.500 0.310 0.331
Int_comp_2 1.000 0.621 0.639
Int_comp_3 1.500 0.931 0.921
Int_comp_4 2.000 1.242 1.172
Int_comp_5 2.500 1.552 1.393
Int_comp_6 3.000 1.863 1.638
p_q =~
Int_comp_0 0.000 0.000 0.000
Int_comp_1 0.250 0.046 0.049
Int_comp_2 1.000 0.186 0.191
Int_comp_3 2.250 0.418 0.413
Int_comp_4 4.000 0.742 0.700
Int_comp_5 6.250 1.160 1.041
Int_comp_6 9.000 1.670 1.469
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i ~~
p_s -0.122 0.011 -10.573 0.000 -0.244 -0.244
p_q 0.020 0.004 5.558 0.000 0.135 0.135
p_s ~~
p_q -0.101 0.005 -19.613 0.000 -0.879 -0.879
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i -0.046 0.008 -5.545 0.000 -0.057 -0.057
p_s 0.035 0.009 3.835 0.000 0.057 0.057
p_q 0.002 0.003 0.726 0.468 0.012 0.012
.Int_comp_0 0.000 0.000 0.000
.Int_comp_1 0.000 0.000 0.000
.Int_comp_2 0.000 0.000 0.000
.Int_comp_3 0.000 0.000 0.000
.Int_comp_4 0.000 0.000 0.000
.Int_comp_5 0.000 0.000 0.000
.Int_comp_6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i 0.641 0.012 53.945 0.000 1.000 1.000
p_s 0.386 0.016 23.710 0.000 1.000 1.000
p_q 0.034 0.002 19.476 0.000 1.000 1.000
.Int_comp_0 0.186 0.007 24.924 0.000 0.186 0.225
.Int_comp_1 0.277 0.005 56.613 0.000 0.277 0.314
.Int_comp_2 0.287 0.005 55.942 0.000 0.287 0.305
.Int_comp_3 0.298 0.006 52.724 0.000 0.298 0.291
.Int_comp_4 0.335 0.006 52.253 0.000 0.335 0.298
.Int_comp_5 0.368 0.008 46.440 0.000 0.368 0.296
.Int_comp_6 0.230 0.013 17.551 0.000 0.230 0.178
R-Square:
Estimate
Int_comp_0 0.775
Int_comp_1 0.686
Int_comp_2 0.695
Int_comp_3 0.709
Int_comp_4 0.702
Int_comp_5 0.704
Int_comp_6 0.822
ICC
lavPredict(readRDS("lgcm_Int_7t_model.rds"),
newdata = pc_factor_nolow_wide.scaled,
append.data = T
) %>%
data.frame() %>%
select(contains(c("Int_comp_"))) %>%
ICC(lmer = T) %>%
saveRDS("Int_pc_7t_icc.rds")readRDS("Int_pc_7t_icc.rds") %>%
{
\(x) x$results
}() %>%
knitr::kable()| type | ICC | F | df1 | df2 | p | lower bound | upper bound | |
|---|---|---|---|---|---|---|---|---|
| Single_raters_absolute | ICC1 | 0.6093104 | 11.91704 | 11866 | 71202 | 0 | 0.6021719 | 0.6164551 |
| Single_random_raters | ICC2 | 0.6094127 | 11.97322 | 11866 | 71196 | 0 | 0.6021647 | 0.6166618 |
| Single_fixed_raters | ICC3 | 0.6105318 | 11.97322 | 11866 | 71196 | 0 | 0.6034042 | 0.6176652 |
| Average_raters_absolute | ICC1k | 0.9160865 | 11.91704 | 11866 | 71202 | 0 | 0.9137599 | 0.9183726 |
| Average_random_raters | ICC2k | 0.9161195 | 11.97322 | 11866 | 71196 | 0 | 0.9137576 | 0.9184382 |
| Average_fixed_raters | ICC3k | 0.9164803 | 11.97322 | 11866 | 71196 | 0 | 0.9141646 | 0.9187557 |
Growth curve plot
lgcm_plot(readRDS("lgcm_Int_7t_model.rds")) +
labs(y = "Children's\nInternalizing") +
scale_x_continuous(
breaks = seq(0, 3, .5),
labels = c("10", "11", "12", "13", "14", "15", "16")
) +
coord_cartesian(ylim = c(-.08, 0.08)) +
annotate(geom = "text", x = 2.4, y = -0.025, label = 'paste(" ",italic("i")," = -.046***")', parse = TRUE, size = 10) +
annotate(geom = "text", x = 2.4, y = -0.05, label = 'paste(italic("s")," = .035***")', parse = TRUE, size = 10) +
annotate(geom = "text", x = 2.4, y = -0.075, label = 'paste(italic("q")," = .002 ")', parse = TRUE, size = 10)
pp factor
Configural invariance model
model fit
pp.3t.config.invar <- "#factor loadings (with constraints)
a_etaB =~ lambda_AD0*asr_anxdep_comp_0+
lambda_AW0*asr_withdep_comp_0+
lambda_AS0*asr_soma_comp_0+
lambda_AC0*asr_thouprob_comp_0+
lambda_AH0*asr_attprob_comp_0+
lambda_AA0*asr_rulebreak_comp_0+
lambda_AR0*asr_aggress_comp_0+
lambda_AG0*asr_intru_comp_0
a_eta2 =~ lambda_AD2*asr_anxdep_comp_2+
lambda_AW2*asr_withdep_comp_2+
lambda_AS2*asr_soma_comp_2+
lambda_AC2*asr_thouprob_comp_2+
lambda_AH2*asr_attprob_comp_2+
lambda_AA2*asr_rulebreak_comp_2+
lambda_AR2*asr_aggress_comp_2+
lambda_AG2*asr_intru_comp_2
a_eta4 =~ lambda_AD4*asr_anxdep_comp_4+
lambda_AW4*asr_withdep_comp_4+
lambda_AS4*asr_soma_comp_4+
lambda_AC4*asr_thouprob_comp_4+
lambda_AH4*asr_attprob_comp_4+
lambda_AA4*asr_rulebreak_comp_4+
lambda_AR4*asr_aggress_comp_4+
lambda_AG4*asr_intru_comp_4
#latent variable variances
a_etaB~~1*a_etaB
a_eta2~~1*a_eta2
a_eta4~~1*a_eta4
#latent variable covariances
a_etaB~~a_eta2 + a_eta4
a_eta2~~a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#latent variable intercepts
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
#observed variable intercepts
asr_aggress_comp_0~tau_AR0*1
asr_aggress_comp_2~tau_AR2*1
asr_aggress_comp_4~tau_AR4*1
asr_anxdep_comp_0~tau_AX0*1
asr_anxdep_comp_2~tau_AX2*1
asr_anxdep_comp_4~tau_AX4*1
asr_attprob_comp_0~tau_AH0*1
asr_attprob_comp_2~tau_AH2*1
asr_attprob_comp_4~tau_AH4*1
asr_intru_comp_0~tau_AG0*1
asr_intru_comp_2~tau_AG2*1
asr_intru_comp_4~tau_AG4*1
asr_rulebreak_comp_0~tau_AA0*1
asr_rulebreak_comp_2~tau_AA2*1
asr_rulebreak_comp_4~tau_AA4*1
asr_soma_comp_0~tau_AS0*1
asr_soma_comp_2~tau_AS2*1
asr_soma_comp_4~tau_AS4*1
asr_thouprob_comp_0~tau_AP0*1
asr_thouprob_comp_2~tau_AP2*1
asr_thouprob_comp_4~tau_AP4*1
asr_withdep_comp_0~tau_AW0*1
asr_withdep_comp_2~tau_AW2*1
asr_withdep_comp_4~tau_AW4*1"
lavaan(pp.3t.config.invar,
data = pp_factor_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("pp_3t_config.rds")result
readRDS("pp_3t_config.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pp_3t_config_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pp_3t_config.rds"), "cor.lv"))$value[1] 2.4448592 0.3233786 0.2317622
readRDS("pp_3t_config_result.rds")lavaan 0.6-19 ended normally after 85 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 153
Used Total
Number of observations 11862 11865
Number of missing patterns 9
Model Test User Model:
Test statistic 3505.862
Degrees of freedom 171
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 186988.711
Degrees of freedom 276
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.982
Tucker-Lewis Index (TLI) 0.971
Robust Comparative Fit Index (CFI) 0.983
Robust Tucker-Lewis Index (TLI) 0.973
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -272993.794
Loglikelihood unrestricted model (H1) -271240.863
Akaike (AIC) 546293.588
Bayesian (BIC) 547422.895
Sample-size adjusted Bayesian (SABIC) 546936.679
Root Mean Square Error of Approximation:
RMSEA 0.041
90 Percent confidence interval - lower 0.039
90 Percent confidence interval - upper 0.042
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.042
90 Percent confidence interval - lower 0.041
90 Percent confidence interval - upper 0.044
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.031
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
as___0 (l_AD0) 0.837 0.008 109.804 0.000 0.837 0.831
as___0 (l_AW0) 0.751 0.008 91.517 0.000 0.751 0.736
as___0 (l_AS0) 0.663 0.008 80.015 0.000 0.663 0.663
as___0 (l_AC0) 0.813 0.008 98.048 0.000 0.813 0.766
as___0 (l_AH0) 0.742 0.007 100.072 0.000 0.742 0.754
as___0 (l_AA0) 0.692 0.009 79.474 0.000 0.692 0.652
as___0 (l_AR0) 0.814 0.008 102.179 0.000 0.814 0.776
as___0 (l_AG0) 0.387 0.009 44.556 0.000 0.387 0.377
a_eta2 =~
as___2 (l_AD2) 0.834 0.008 104.799 0.000 0.834 0.822
as___2 (l_AW2) 0.745 0.008 87.993 0.000 0.745 0.735
as___2 (l_AS2) 0.658 0.009 77.047 0.000 0.658 0.659
as___2 (l_AC2) 0.758 0.008 93.911 0.000 0.758 0.763
as___2 (l_AH2) 0.750 0.007 100.068 0.000 0.750 0.770
as___2 (l_AA2) 0.627 0.009 73.603 0.000 0.627 0.629
as___2 (l_AR2) 0.752 0.008 94.754 0.000 0.752 0.750
as___2 (l_AG2) 0.398 0.009 46.370 0.000 0.398 0.401
a_eta4 =~
as___4 (l_AD4) 0.821 0.008 96.983 0.000 0.821 0.815
as___4 (l_AW4) 0.723 0.009 81.979 0.000 0.723 0.732
as___4 (l_AS4) 0.656 0.009 72.387 0.000 0.656 0.663
as___4 (l_AC4) 0.717 0.008 86.419 0.000 0.717 0.755
as___4 (l_AH4) 0.763 0.008 93.216 0.000 0.763 0.767
as___4 (l_AA4) 0.602 0.009 68.422 0.000 0.602 0.627
as___4 (l_AR4) 0.692 0.008 85.548 0.000 0.692 0.727
as___4 (l_AG4) 0.406 0.009 44.669 0.000 0.406 0.411
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB ~~
a_eta2 0.737 0.005 144.715 0.000 0.737 0.737
a_eta4 0.678 0.006 106.751 0.000 0.678 0.678
a_eta2 ~~
a_eta4 0.753 0.005 143.038 0.000 0.753 0.753
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.180 0.005 35.733 0.000 0.180 0.557
.asr_nxdp_cmp_4 0.163 0.005 31.649 0.000 0.163 0.501
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.195 0.006 35.350 0.000 0.195 0.578
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.222 0.006 36.153 0.000 0.222 0.467
.asr_wthdp_cm_4 0.202 0.006 32.275 0.000 0.202 0.433
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.218 0.006 34.203 0.000 0.218 0.472
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.281 0.007 40.930 0.000 0.281 0.501
.asr_soma_cmp_4 0.242 0.007 34.883 0.000 0.242 0.437
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.283 0.007 38.699 0.000 0.283 0.508
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.192 0.005 35.082 0.000 0.192 0.439
.asr_thprb_cm_4 0.160 0.005 29.288 0.000 0.160 0.378
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.168 0.005 31.689 0.000 0.168 0.420
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.260 0.005 48.699 0.000 0.260 0.647
.asr_ttprb_cm_4 0.250 0.006 44.707 0.000 0.250 0.605
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.265 0.006 46.878 0.000 0.265 0.669
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.301 0.007 40.893 0.000 0.301 0.482
.asr_rlbrk_cm_4 0.258 0.007 35.517 0.000 0.258 0.429
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.280 0.007 38.448 0.000 0.280 0.483
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.244 0.006 42.979 0.000 0.244 0.556
.asr_ggrss_cm_4 0.226 0.006 39.943 0.000 0.226 0.523
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.254 0.006 43.437 0.000 0.254 0.588
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.498 0.010 51.901 0.000 0.498 0.578
.asr_intr_cmp_4 0.468 0.010 47.969 0.000 0.468 0.547
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.478 0.010 49.620 0.000 0.478 0.584
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.015 0.005 3.010 0.003 0.015 0.040
.asr_soma_cmp_0 0.032 0.005 5.996 0.000 0.032 0.076
.asr_wthdp_cm_2 0.016 0.005 3.245 0.001 0.016 0.042
.asr_soma_cmp_2 0.036 0.005 6.780 0.000 0.036 0.085
.asr_wthdp_cm_4 0.015 0.005 2.845 0.004 0.015 0.039
.asr_soma_cmp_4 0.032 0.005 5.796 0.000 0.032 0.076
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 0.005 0.005 0.987 0.324 0.005 0.012
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.027 0.005 5.128 0.000 0.027 0.063
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.028 0.005 5.204 0.000 0.028 0.071
.asr_soma_cmp_2 0.045 0.006 7.874 0.000 0.045 0.103
.asr_wthdp_cm_4 0.016 0.005 3.027 0.002 0.016 0.041
.asr_soma_cmp_4 0.024 0.006 4.248 0.000 0.024 0.056
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 -0.003 0.005 -0.559 0.576 -0.003 -0.007
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.025 0.006 4.419 0.000 0.025 0.056
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.010 0.005 1.776 0.076 0.010 0.024
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.041 0.006 7.046 0.000 0.041 0.093
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.031 0.006 5.487 0.000 0.031 0.080
.asr_soma_cmp_4 0.050 0.006 8.190 0.000 0.050 0.115
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.031 0.006 -5.318 0.000 -0.031 -0.060
.asr_soma_cmp_2 -0.020 0.006 -3.311 0.001 -0.020 -0.038
.asr_soma_cmp_4 -0.036 0.006 -5.870 0.000 -0.036 -0.071
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.014 0.006 -2.335 0.020 -0.014 -0.026
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.018 0.006 -2.908 0.004 -0.018 -0.034
.asr_soma_cmp_4 -0.026 0.006 -4.198 0.000 -0.026 -0.051
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.017 0.006 -2.775 0.006 -0.017 -0.033
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.023 0.006 -3.638 0.000 -0.023 -0.045
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.028 0.006 -4.374 0.000 -0.028 -0.055
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.135 0.007 19.880 0.000 0.135 0.215
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.061 0.006 10.160 0.000 0.061 0.115
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.088 0.007 13.498 0.000 0.088 0.146
.asr_rlbrk_cm_2 0.023 0.006 3.986 0.000 0.023 0.044
.asr_intr_cmp_4 0.095 0.007 14.115 0.000 0.095 0.160
.asr_rlbrk_cm_4 0.032 0.006 5.580 0.000 0.032 0.065
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.098 0.007 14.597 0.000 0.098 0.155
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.048 0.006 8.050 0.000 0.048 0.090
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.141 0.007 21.092 0.000 0.141 0.235
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.046 0.006 7.878 0.000 0.046 0.090
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.111 0.007 16.346 0.000 0.111 0.187
.asr_rlbrk_cm_4 0.044 0.006 7.491 0.000 0.044 0.089
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.103 0.007 15.084 0.000 0.103 0.166
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.055 0.006 9.165 0.000 0.055 0.106
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.109 0.007 16.329 0.000 0.109 0.183
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.046 0.006 7.682 0.000 0.046 0.090
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.145 0.007 21.058 0.000 0.145 0.247
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.066 0.006 11.156 0.000 0.066 0.136
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.121 0.008 15.577 0.000 0.121 0.158
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.070 0.007 9.293 0.000 0.070 0.094
.asr_rlbrk_cm_4 0.076 0.008 10.011 0.000 0.076 0.107
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.073 0.008 9.723 0.000 0.073 0.100
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.115 0.007 15.449 0.000 0.115 0.162
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.074 0.007 10.033 0.000 0.074 0.110
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.086 0.008 11.002 0.000 0.086 0.119
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.080 0.008 10.476 0.000 0.080 0.115
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.114 0.008 15.068 0.000 0.114 0.170
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB 0.000 0.000 0.000
a_eta2 0.000 0.000 0.000
a_eta4 0.000 0.000 0.000
.as___0 (t_AR0) 0.063 0.010 6.555 0.000 0.063 0.060
.as___2 (t_AR2) 0.005 0.009 0.535 0.593 0.005 0.005
.as___4 (t_AR4) -0.066 0.009 -7.098 0.000 -0.066 -0.069
.as___0 (t_AX0) 0.003 0.009 0.302 0.763 0.003 0.003
.as___2 (t_AX2) 0.005 0.010 0.544 0.587 0.005 0.005
.as___4 (t_AX4) 0.003 0.010 0.325 0.745 0.003 0.003
.as___0 (t_AH0) 0.008 0.009 0.884 0.376 0.008 0.008
.as___2 (t_AH2) -0.001 0.009 -0.065 0.948 -0.001 -0.001
.as___4 (t_AH4) 0.007 0.010 0.741 0.459 0.007 0.007
.as___0 (t_AG0) 0.031 0.009 3.239 0.001 0.031 0.030
.as___2 (t_AG2) -0.010 0.009 -1.117 0.264 -0.010 -0.011
.as___4 (t_AG4) -0.024 0.010 -2.502 0.012 -0.024 -0.025
.as___0 (t_AA0) 0.060 0.010 6.105 0.000 0.060 0.056
.as___2 (t_AA2) -0.001 0.009 -0.141 0.888 -0.001 -0.001
.as___4 (t_AA4) -0.044 0.009 -4.632 0.000 -0.044 -0.046
.as___0 (t_AS0) 0.001 0.009 0.161 0.872 0.001 0.001
.as___2 (t_AS2) 0.006 0.009 0.599 0.549 0.006 0.006
.as___4 (t_AS4) 0.005 0.010 0.561 0.575 0.005 0.006
.as___0 (t_AP0) 0.066 0.010 6.764 0.000 0.066 0.062
.as___2 (t_AP2) -0.015 0.009 -1.579 0.114 -0.015 -0.015
.as___4 (t_AP4) -0.044 0.009 -4.683 0.000 -0.044 -0.046
.as___0 (t_AW0) -0.001 0.009 -0.066 0.948 -0.001 -0.001
.as___2 (t_AW2) 0.012 0.010 1.302 0.193 0.012 0.012
.as___4 (t_AW4) 0.006 0.010 0.602 0.547 0.006 0.006
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB 1.000 1.000 1.000
a_eta2 1.000 1.000 1.000
a_eta4 1.000 1.000 1.000
.asr_nxdp_cmp_0 0.312 0.006 51.387 0.000 0.312 0.309
.asr_wthdp_cm_0 0.478 0.008 61.468 0.000 0.478 0.459
.asr_soma_cmp_0 0.560 0.009 65.697 0.000 0.560 0.560
.asr_thprb_cm_0 0.464 0.007 63.671 0.000 0.464 0.413
.asr_ttprb_cm_0 0.417 0.006 64.222 0.000 0.417 0.431
.asr_rlbrk_cm_0 0.647 0.009 68.276 0.000 0.647 0.575
.asr_ggrss_cm_0 0.438 0.007 62.516 0.000 0.438 0.398
.asr_intr_cmp_0 0.902 0.012 74.916 0.000 0.902 0.858
.asr_nxdp_cmp_2 0.333 0.007 50.611 0.000 0.333 0.324
.asr_wthdp_cm_2 0.473 0.008 59.010 0.000 0.473 0.460
.asr_soma_cmp_2 0.564 0.009 63.399 0.000 0.564 0.566
.asr_thprb_cm_2 0.413 0.007 61.016 0.000 0.413 0.418
.asr_ttprb_cm_2 0.386 0.006 60.161 0.000 0.386 0.407
.asr_rlbrk_cm_2 0.602 0.009 66.276 0.000 0.602 0.605
.asr_ggrss_cm_2 0.440 0.007 61.764 0.000 0.440 0.437
.asr_intr_cmp_2 0.826 0.011 71.923 0.000 0.826 0.839
.asr_nxdp_cmp_4 0.341 0.007 47.490 0.000 0.341 0.336
.asr_wthdp_cm_4 0.453 0.008 55.042 0.000 0.453 0.464
.asr_soma_cmp_4 0.550 0.009 58.586 0.000 0.550 0.561
.asr_thprb_cm_4 0.387 0.007 56.984 0.000 0.387 0.430
.asr_ttprb_cm_4 0.408 0.007 56.132 0.000 0.408 0.412
.asr_rlbrk_cm_4 0.559 0.009 61.844 0.000 0.559 0.607
.asr_ggrss_cm_4 0.426 0.007 59.139 0.000 0.426 0.471
.asr_intr_cmp_4 0.811 0.012 67.551 0.000 0.811 0.831
R-Square:
Estimate
asr_nxdp_cmp_0 0.691
asr_wthdp_cm_0 0.541
asr_soma_cmp_0 0.440
asr_thprb_cm_0 0.587
asr_ttprb_cm_0 0.569
asr_rlbrk_cm_0 0.425
asr_ggrss_cm_0 0.602
asr_intr_cmp_0 0.142
asr_nxdp_cmp_2 0.676
asr_wthdp_cm_2 0.540
asr_soma_cmp_2 0.434
asr_thprb_cm_2 0.582
asr_ttprb_cm_2 0.593
asr_rlbrk_cm_2 0.395
asr_ggrss_cm_2 0.563
asr_intr_cmp_2 0.161
asr_nxdp_cmp_4 0.664
asr_wthdp_cm_4 0.536
asr_soma_cmp_4 0.439
asr_thprb_cm_4 0.570
asr_ttprb_cm_4 0.588
asr_rlbrk_cm_4 0.393
asr_ggrss_cm_4 0.529
asr_intr_cmp_4 0.169
Weak invariance model
model fit
pp.3t.weak.invar <- "#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#latent variable covariances
a_etaB~~a_eta2 + a_eta4
a_eta2~~a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#latent variable intercepts
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
#observed variable intercepts
asr_aggress_comp_0~tau_AR0*1
asr_aggress_comp_2~tau_AR2*1
asr_aggress_comp_4~tau_AR4*1
asr_anxdep_comp_0~tau_AX0*1
asr_anxdep_comp_2~tau_AX2*1
asr_anxdep_comp_4~tau_AX4*1
asr_attprob_comp_0~tau_AH0*1
asr_attprob_comp_2~tau_AH2*1
asr_attprob_comp_4~tau_AH4*1
asr_intru_comp_0~tau_AG0*1
asr_intru_comp_2~tau_AG2*1
asr_intru_comp_4~tau_AG4*1
asr_rulebreak_comp_0~tau_AA0*1
asr_rulebreak_comp_2~tau_AA2*1
asr_rulebreak_comp_4~tau_AA4*1
asr_soma_comp_0~tau_AS0*1
asr_soma_comp_2~tau_AS2*1
asr_soma_comp_4~tau_AS4*1
asr_thouprob_comp_0~tau_AP0*1
asr_thouprob_comp_2~tau_AP2*1
asr_thouprob_comp_4~tau_AP4*1
asr_withdep_comp_0~tau_AW0*1
asr_withdep_comp_2~tau_AW2*1
asr_withdep_comp_4~tau_AW4*1"
lavaan(pp.3t.weak.invar,
data = pp_factor_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("pp_3t_weak.rds")result
readRDS("pp_3t_weak.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pp_3t_weak_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pp_3t_weak.rds"), "cor.lv"))$value[1] 2.4437411 0.3235398 0.2327191
readRDS("pp_3t_weak_result.rds")lavaan 0.6-19 ended normally after 90 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 153
Number of equality constraints 14
Used Total
Number of observations 11862 11865
Number of missing patterns 9
Model Test User Model:
Test statistic 3872.010
Degrees of freedom 185
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 186988.711
Degrees of freedom 276
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.980
Tucker-Lewis Index (TLI) 0.971
Robust Comparative Fit Index (CFI) 0.981
Robust Tucker-Lewis Index (TLI) 0.972
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -273176.868
Loglikelihood unrestricted model (H1) -271240.863
Akaike (AIC) 546631.736
Bayesian (BIC) 547657.708
Sample-size adjusted Bayesian (SABIC) 547215.982
Root Mean Square Error of Approximation:
RMSEA 0.041
90 Percent confidence interval - lower 0.040
90 Percent confidence interval - upper 0.042
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.043
90 Percent confidence interval - lower 0.042
90 Percent confidence interval - upper 0.044
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.035
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.849 0.838
asr___0 (l_AW) 0.894 0.007 126.288 0.000 0.759 0.739
asr___0 (l_AS) 0.794 0.007 111.136 0.000 0.674 0.671
asr___0 (l_AC) 0.925 0.007 124.190 0.000 0.785 0.753
asr___0 (l_AH) 0.903 0.007 129.777 0.000 0.767 0.767
asr___0 (l_AA) 0.778 0.008 97.350 0.000 0.661 0.632
asr___0 (l_AR) 0.915 0.007 123.946 0.000 0.777 0.757
asr___0 (l_AG) 0.481 0.008 58.716 0.000 0.408 0.395
a_eta2 =~
asr___2 1.000 0.825 0.817
asr___2 (l_AW) 0.894 0.007 126.288 0.000 0.738 0.730
asr___2 (l_AS) 0.794 0.007 111.136 0.000 0.655 0.657
asr___2 (l_AC) 0.925 0.007 124.190 0.000 0.763 0.766
asr___2 (l_AH) 0.903 0.007 129.777 0.000 0.745 0.768
asr___2 (l_AA) 0.778 0.008 97.350 0.000 0.642 0.639
asr___2 (l_AR) 0.915 0.007 123.946 0.000 0.755 0.752
asr___2 (l_AG) 0.481 0.008 58.716 0.000 0.397 0.401
a_eta4 =~
asr___4 1.000 0.802 0.805
asr___4 (l_AW) 0.894 0.007 126.288 0.000 0.717 0.729
asr___4 (l_AS) 0.794 0.007 111.136 0.000 0.637 0.649
asr___4 (l_AC) 0.925 0.007 124.190 0.000 0.742 0.769
asr___4 (l_AH) 0.903 0.007 129.777 0.000 0.725 0.744
asr___4 (l_AA) 0.778 0.008 97.350 0.000 0.624 0.643
asr___4 (l_AR) 0.915 0.007 123.946 0.000 0.734 0.751
asr___4 (l_AG) 0.481 0.008 58.716 0.000 0.386 0.394
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB ~~
a_eta2 0.516 0.010 50.952 0.000 0.736 0.736
a_eta4 0.461 0.010 47.293 0.000 0.677 0.677
a_eta2 ~~
a_eta4 0.498 0.010 48.975 0.000 0.751 0.751
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.180 0.005 35.708 0.000 0.180 0.559
.asr_nxdp_cmp_4 0.164 0.005 31.693 0.000 0.164 0.501
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.200 0.006 36.170 0.000 0.200 0.581
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.224 0.006 36.226 0.000 0.224 0.469
.asr_wthdp_cm_4 0.202 0.006 32.278 0.000 0.202 0.433
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.220 0.006 34.568 0.000 0.220 0.473
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.280 0.007 40.871 0.000 0.280 0.501
.asr_soma_cmp_4 0.243 0.007 34.988 0.000 0.243 0.437
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.286 0.007 39.142 0.000 0.286 0.510
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.193 0.005 35.194 0.000 0.193 0.439
.asr_thprb_cm_4 0.160 0.005 29.141 0.000 0.160 0.377
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.165 0.005 31.145 0.000 0.165 0.417
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.257 0.005 48.374 0.000 0.257 0.646
.asr_ttprb_cm_4 0.252 0.006 44.945 0.000 0.252 0.604
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.271 0.006 47.579 0.000 0.271 0.670
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.301 0.007 40.938 0.000 0.301 0.481
.asr_rlbrk_cm_4 0.258 0.007 35.465 0.000 0.258 0.428
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.277 0.007 38.121 0.000 0.277 0.482
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.246 0.006 43.290 0.000 0.246 0.554
.asr_ggrss_cm_4 0.224 0.006 39.551 0.000 0.224 0.518
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.250 0.006 42.749 0.000 0.250 0.587
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.498 0.010 51.852 0.000 0.498 0.578
.asr_intr_cmp_4 0.468 0.010 47.929 0.000 0.468 0.547
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.477 0.010 49.625 0.000 0.477 0.583
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.012 0.005 2.375 0.018 0.012 0.031
.asr_soma_cmp_0 0.026 0.005 5.030 0.000 0.026 0.064
.asr_wthdp_cm_2 0.017 0.005 3.374 0.001 0.017 0.044
.asr_soma_cmp_2 0.035 0.005 6.615 0.000 0.035 0.083
.asr_wthdp_cm_4 0.014 0.005 2.819 0.005 0.014 0.038
.asr_soma_cmp_4 0.032 0.005 5.834 0.000 0.032 0.077
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 0.006 0.005 1.178 0.239 0.006 0.015
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.027 0.005 5.174 0.000 0.027 0.063
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.032 0.005 6.074 0.000 0.032 0.081
.asr_soma_cmp_2 0.048 0.006 8.580 0.000 0.048 0.110
.asr_wthdp_cm_4 0.019 0.005 3.605 0.000 0.019 0.048
.asr_soma_cmp_4 0.029 0.006 5.076 0.000 0.029 0.066
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 -0.002 0.005 -0.355 0.723 -0.002 -0.005
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.026 0.006 4.672 0.000 0.026 0.059
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.013 0.005 2.418 0.016 0.013 0.032
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.045 0.006 7.739 0.000 0.045 0.100
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.036 0.006 6.482 0.000 0.036 0.091
.asr_soma_cmp_4 0.059 0.006 9.764 0.000 0.059 0.133
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.034 0.006 -5.897 0.000 -0.034 -0.066
.asr_soma_cmp_2 -0.020 0.006 -3.320 0.001 -0.020 -0.038
.asr_soma_cmp_4 -0.036 0.006 -5.771 0.000 -0.036 -0.069
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.013 0.006 -2.246 0.025 -0.013 -0.025
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.015 0.006 -2.485 0.013 -0.015 -0.029
.asr_soma_cmp_4 -0.023 0.006 -3.718 0.000 -0.023 -0.045
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.016 0.006 -2.750 0.006 -0.016 -0.033
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.021 0.006 -3.341 0.001 -0.021 -0.041
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.023 0.006 -3.731 0.000 -0.023 -0.046
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.136 0.007 19.973 0.000 0.136 0.213
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.071 0.006 11.791 0.000 0.071 0.130
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.088 0.007 13.523 0.000 0.088 0.145
.asr_rlbrk_cm_2 0.023 0.006 4.028 0.000 0.023 0.045
.asr_intr_cmp_4 0.096 0.007 14.289 0.000 0.096 0.159
.asr_rlbrk_cm_4 0.031 0.006 5.415 0.000 0.031 0.063
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.097 0.007 14.442 0.000 0.097 0.154
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.050 0.006 8.330 0.000 0.050 0.092
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.140 0.007 20.987 0.000 0.140 0.233
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.044 0.006 7.463 0.000 0.044 0.085
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.111 0.007 16.261 0.000 0.111 0.185
.asr_rlbrk_cm_4 0.041 0.006 7.017 0.000 0.041 0.084
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.101 0.007 14.726 0.000 0.101 0.165
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.055 0.006 9.107 0.000 0.055 0.106
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.106 0.007 15.861 0.000 0.106 0.180
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.043 0.006 7.213 0.000 0.043 0.086
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.141 0.007 20.511 0.000 0.141 0.242
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.059 0.006 9.975 0.000 0.059 0.123
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.121 0.008 15.665 0.000 0.121 0.158
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.069 0.007 9.181 0.000 0.069 0.094
.asr_rlbrk_cm_4 0.075 0.008 9.813 0.000 0.075 0.106
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.073 0.008 9.699 0.000 0.073 0.100
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.112 0.007 15.221 0.000 0.112 0.160
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.072 0.007 9.722 0.000 0.072 0.107
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.086 0.008 11.036 0.000 0.086 0.118
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.079 0.008 10.263 0.000 0.079 0.113
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.111 0.008 14.691 0.000 0.111 0.165
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB 0.000 0.000 0.000
a_eta2 0.000 0.000 0.000
a_eta4 0.000 0.000 0.000
.as___0 (t_AR0) 0.063 0.009 6.705 0.000 0.063 0.062
.as___2 (t_AR2) 0.005 0.009 0.542 0.588 0.005 0.005
.as___4 (t_AR4) -0.065 0.010 -6.828 0.000 -0.065 -0.067
.as___0 (t_AX0) 0.003 0.009 0.299 0.765 0.003 0.003
.as___2 (t_AX2) 0.005 0.009 0.525 0.599 0.005 0.005
.as___4 (t_AX4) 0.003 0.010 0.285 0.776 0.003 0.003
.as___0 (t_AH0) 0.008 0.009 0.869 0.385 0.008 0.008
.as___2 (t_AH2) -0.001 0.009 -0.084 0.933 -0.001 -0.001
.as___4 (t_AH4) 0.006 0.009 0.675 0.500 0.006 0.007
.as___0 (t_AG0) 0.030 0.009 3.211 0.001 0.030 0.030
.as___2 (t_AG2) -0.011 0.009 -1.132 0.258 -0.011 -0.011
.as___4 (t_AG4) -0.025 0.010 -2.570 0.010 -0.025 -0.025
.as___0 (t_AA0) 0.060 0.010 6.202 0.000 0.060 0.057
.as___2 (t_AA2) -0.001 0.009 -0.129 0.897 -0.001 -0.001
.as___4 (t_AA4) -0.044 0.010 -4.540 0.000 -0.044 -0.045
.as___0 (t_AS0) 0.001 0.009 0.159 0.874 0.001 0.001
.as___2 (t_AS2) 0.006 0.009 0.586 0.558 0.006 0.006
.as___4 (t_AS4) 0.005 0.010 0.520 0.603 0.005 0.005
.as___0 (t_AP0) 0.066 0.010 6.880 0.000 0.066 0.063
.as___2 (t_AP2) -0.015 0.009 -1.568 0.117 -0.015 -0.015
.as___4 (t_AP4) -0.043 0.010 -4.560 0.000 -0.043 -0.045
.as___0 (t_AW0) -0.001 0.009 -0.066 0.947 -0.001 -0.001
.as___2 (t_AW2) 0.012 0.010 1.290 0.197 0.012 0.012
.as___4 (t_AW4) 0.006 0.010 0.586 0.558 0.006 0.006
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB 0.721 0.012 59.432 0.000 1.000 1.000
a_eta2 0.681 0.012 56.430 0.000 1.000 1.000
a_eta4 0.644 0.012 53.361 0.000 1.000 1.000
.asr_nxdp_cmp_0 0.306 0.006 51.046 0.000 0.306 0.298
.asr_wthdp_cm_0 0.477 0.008 61.553 0.000 0.477 0.453
.asr_soma_cmp_0 0.555 0.008 65.819 0.000 0.555 0.550
.asr_thprb_cm_0 0.471 0.007 64.805 0.000 0.471 0.433
.asr_ttprb_cm_0 0.411 0.006 63.864 0.000 0.411 0.412
.asr_rlbrk_cm_0 0.655 0.009 69.255 0.000 0.655 0.600
.asr_ggrss_cm_0 0.450 0.007 64.192 0.000 0.450 0.427
.asr_intr_cmp_0 0.902 0.012 74.847 0.000 0.902 0.844
.asr_nxdp_cmp_2 0.338 0.007 52.031 0.000 0.338 0.332
.asr_wthdp_cm_2 0.477 0.008 60.079 0.000 0.477 0.467
.asr_soma_cmp_2 0.566 0.009 64.196 0.000 0.566 0.568
.asr_thprb_cm_2 0.410 0.007 61.162 0.000 0.410 0.413
.asr_ttprb_cm_2 0.386 0.006 60.870 0.000 0.386 0.410
.asr_rlbrk_cm_2 0.598 0.009 66.189 0.000 0.598 0.592
.asr_ggrss_cm_2 0.438 0.007 61.951 0.000 0.438 0.435
.asr_intr_cmp_2 0.824 0.011 71.982 0.000 0.824 0.840
.asr_nxdp_cmp_4 0.351 0.007 49.466 0.000 0.351 0.353
.asr_wthdp_cm_4 0.454 0.008 56.172 0.000 0.454 0.469
.asr_soma_cmp_4 0.558 0.009 59.957 0.000 0.558 0.579
.asr_thprb_cm_4 0.380 0.007 56.491 0.000 0.380 0.408
.asr_ttprb_cm_4 0.424 0.007 58.328 0.000 0.424 0.447
.asr_rlbrk_cm_4 0.553 0.009 61.467 0.000 0.553 0.587
.asr_ggrss_cm_4 0.416 0.007 57.997 0.000 0.416 0.436
.asr_intr_cmp_4 0.810 0.012 67.720 0.000 0.810 0.845
R-Square:
Estimate
asr_nxdp_cmp_0 0.702
asr_wthdp_cm_0 0.547
asr_soma_cmp_0 0.450
asr_thprb_cm_0 0.567
asr_ttprb_cm_0 0.588
asr_rlbrk_cm_0 0.400
asr_ggrss_cm_0 0.573
asr_intr_cmp_0 0.156
asr_nxdp_cmp_2 0.668
asr_wthdp_cm_2 0.533
asr_soma_cmp_2 0.432
asr_thprb_cm_2 0.587
asr_ttprb_cm_2 0.590
asr_rlbrk_cm_2 0.408
asr_ggrss_cm_2 0.565
asr_intr_cmp_2 0.160
asr_nxdp_cmp_4 0.647
asr_wthdp_cm_4 0.531
asr_soma_cmp_4 0.421
asr_thprb_cm_4 0.592
asr_ttprb_cm_4 0.553
asr_rlbrk_cm_4 0.413
asr_ggrss_cm_4 0.564
asr_intr_cmp_4 0.155
Strong invariance model
model fit
pp.3t.strong.invar <- "#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#latent variable covariances
a_etaB~~a_eta2 + a_eta4
a_eta2~~a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#latent variable intercepts
a_etaB~0*1
a_eta2~m2*1
a_eta4~m4*1
#observed variable intercepts
asr_aggress_comp_0~tau_AR*1
asr_aggress_comp_2~tau_AR*1
asr_aggress_comp_4~tau_AR*1
asr_anxdep_comp_0~tau_AX*1
asr_anxdep_comp_2~tau_AX*1
asr_anxdep_comp_4~tau_AX*1
asr_attprob_comp_0~tau_AH*1
asr_attprob_comp_2~tau_AH*1
asr_attprob_comp_4~tau_AH*1
asr_intru_comp_0~tau_AG*1
asr_intru_comp_2~tau_AG*1
asr_intru_comp_4~tau_AG*1
asr_rulebreak_comp_0~tau_AA*1
asr_rulebreak_comp_2~tau_AA*1
asr_rulebreak_comp_4~tau_AA*1
asr_soma_comp_0~tau_AS*1
asr_soma_comp_2~tau_AS*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_thouprob_comp_2~tau_AP*1
asr_thouprob_comp_4~tau_AP*1
asr_withdep_comp_0~tau_AW*1
asr_withdep_comp_2~tau_AW*1
asr_withdep_comp_4~tau_AW*1"
lavaan(pp.3t.strong.invar,
data = pp_factor_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("pp_3t_strong.rds")result
readRDS("pp_3t_strong.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pp_3t_strong_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pp_3t_strong.rds"), "cor.lv"))$value[1] 2.4447037 0.3225134 0.2327829
readRDS("pp_3t_strong_result.rds")lavaan 0.6-19 ended normally after 93 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 155
Number of equality constraints 30
Used Total
Number of observations 11862 11865
Number of missing patterns 9
Model Test User Model:
Test statistic 4395.918
Degrees of freedom 199
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 186988.711
Degrees of freedom 276
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.978
Tucker-Lewis Index (TLI) 0.969
Robust Comparative Fit Index (CFI) 0.978
Robust Tucker-Lewis Index (TLI) 0.970
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -273438.822
Loglikelihood unrestricted model (H1) -271240.863
Akaike (AIC) 547127.644
Bayesian (BIC) 548050.281
Sample-size adjusted Bayesian (SABIC) 547653.045
Root Mean Square Error of Approximation:
RMSEA 0.042
90 Percent confidence interval - lower 0.041
90 Percent confidence interval - upper 0.043
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.044
90 Percent confidence interval - lower 0.043
90 Percent confidence interval - upper 0.046
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.036
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.847 0.836
asr___0 (l_AW) 0.894 0.007 125.990 0.000 0.757 0.738
asr___0 (l_AS) 0.794 0.007 110.885 0.000 0.672 0.670
asr___0 (l_AC) 0.930 0.008 123.882 0.000 0.787 0.753
asr___0 (l_AH) 0.905 0.007 129.615 0.000 0.766 0.767
asr___0 (l_AA) 0.783 0.008 97.319 0.000 0.663 0.634
asr___0 (l_AR) 0.920 0.007 123.530 0.000 0.779 0.757
asr___0 (l_AG) 0.484 0.008 58.859 0.000 0.410 0.396
a_eta2 =~
asr___2 1.000 0.823 0.816
asr___2 (l_AW) 0.894 0.007 125.990 0.000 0.736 0.729
asr___2 (l_AS) 0.794 0.007 110.885 0.000 0.654 0.656
asr___2 (l_AC) 0.930 0.008 123.882 0.000 0.765 0.767
asr___2 (l_AH) 0.905 0.007 129.615 0.000 0.745 0.768
asr___2 (l_AA) 0.783 0.008 97.319 0.000 0.644 0.640
asr___2 (l_AR) 0.920 0.007 123.530 0.000 0.757 0.753
asr___2 (l_AG) 0.484 0.008 58.859 0.000 0.399 0.402
a_eta4 =~
asr___4 1.000 0.800 0.802
asr___4 (l_AW) 0.894 0.007 125.990 0.000 0.715 0.727
asr___4 (l_AS) 0.794 0.007 110.885 0.000 0.635 0.647
asr___4 (l_AC) 0.930 0.008 123.882 0.000 0.744 0.770
asr___4 (l_AH) 0.905 0.007 129.615 0.000 0.724 0.743
asr___4 (l_AA) 0.783 0.008 97.319 0.000 0.626 0.643
asr___4 (l_AR) 0.920 0.007 123.530 0.000 0.736 0.751
asr___4 (l_AG) 0.484 0.008 58.859 0.000 0.387 0.395
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB ~~
a_eta2 0.513 0.010 50.845 0.000 0.736 0.736
a_eta4 0.459 0.010 47.228 0.000 0.678 0.678
a_eta2 ~~
a_eta4 0.495 0.010 48.851 0.000 0.752 0.752
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.181 0.005 35.763 0.000 0.181 0.558
.asr_nxdp_cmp_4 0.164 0.005 31.577 0.000 0.164 0.497
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.202 0.006 36.294 0.000 0.202 0.582
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.224 0.006 36.189 0.000 0.224 0.467
.asr_wthdp_cm_4 0.201 0.006 32.114 0.000 0.201 0.430
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.221 0.006 34.620 0.000 0.221 0.473
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.281 0.007 40.882 0.000 0.281 0.500
.asr_soma_cmp_4 0.243 0.007 34.933 0.000 0.243 0.436
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.287 0.007 39.181 0.000 0.287 0.510
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.192 0.005 34.929 0.000 0.192 0.436
.asr_thprb_cm_4 0.158 0.005 28.843 0.000 0.158 0.374
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.165 0.005 31.079 0.000 0.165 0.418
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.258 0.005 48.373 0.000 0.258 0.646
.asr_ttprb_cm_4 0.252 0.006 44.856 0.000 0.252 0.603
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.271 0.006 47.493 0.000 0.271 0.669
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.300 0.007 40.808 0.000 0.300 0.480
.asr_rlbrk_cm_4 0.257 0.007 35.228 0.000 0.257 0.425
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.278 0.007 38.058 0.000 0.278 0.482
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.246 0.006 43.116 0.000 0.246 0.554
.asr_ggrss_cm_4 0.221 0.006 38.910 0.000 0.221 0.509
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.250 0.006 42.437 0.000 0.250 0.584
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.497 0.010 51.798 0.000 0.497 0.577
.asr_intr_cmp_4 0.467 0.010 47.855 0.000 0.467 0.546
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.476 0.010 49.577 0.000 0.476 0.583
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.014 0.005 2.791 0.005 0.014 0.037
.asr_soma_cmp_0 0.028 0.005 5.349 0.000 0.028 0.068
.asr_wthdp_cm_2 0.017 0.005 3.469 0.001 0.017 0.045
.asr_soma_cmp_2 0.035 0.005 6.711 0.000 0.035 0.084
.asr_wthdp_cm_4 0.014 0.005 2.803 0.005 0.014 0.038
.asr_soma_cmp_4 0.032 0.005 5.826 0.000 0.032 0.077
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 0.006 0.005 1.196 0.232 0.006 0.015
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.028 0.005 5.240 0.000 0.028 0.064
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.034 0.005 6.320 0.000 0.034 0.084
.asr_soma_cmp_2 0.049 0.006 8.800 0.000 0.049 0.112
.asr_wthdp_cm_4 0.020 0.005 3.858 0.000 0.020 0.052
.asr_soma_cmp_4 0.030 0.006 5.319 0.000 0.030 0.069
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 -0.003 0.005 -0.531 0.596 -0.003 -0.007
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.026 0.006 4.630 0.000 0.026 0.058
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.014 0.005 2.625 0.009 0.014 0.035
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.046 0.006 7.918 0.000 0.046 0.102
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.039 0.006 6.851 0.000 0.039 0.096
.asr_soma_cmp_4 0.061 0.006 10.094 0.000 0.061 0.137
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.032 0.006 -5.556 0.000 -0.032 -0.063
.asr_soma_cmp_2 -0.019 0.006 -3.280 0.001 -0.019 -0.037
.asr_soma_cmp_4 -0.036 0.006 -5.849 0.000 -0.036 -0.070
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.013 0.006 -2.187 0.029 -0.013 -0.025
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.014 0.006 -2.311 0.021 -0.014 -0.027
.asr_soma_cmp_4 -0.022 0.006 -3.560 0.000 -0.022 -0.043
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.016 0.006 -2.746 0.006 -0.016 -0.033
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.020 0.006 -3.182 0.001 -0.020 -0.039
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.021 0.006 -3.436 0.001 -0.021 -0.042
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.136 0.007 19.906 0.000 0.136 0.213
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.071 0.006 11.826 0.000 0.071 0.131
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.087 0.007 13.345 0.000 0.087 0.143
.asr_rlbrk_cm_2 0.022 0.006 3.872 0.000 0.022 0.043
.asr_intr_cmp_4 0.095 0.007 14.057 0.000 0.095 0.157
.asr_rlbrk_cm_4 0.029 0.006 5.000 0.000 0.029 0.058
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.096 0.007 14.378 0.000 0.096 0.153
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.049 0.006 8.270 0.000 0.049 0.092
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.139 0.007 20.881 0.000 0.139 0.232
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.043 0.006 7.335 0.000 0.043 0.084
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.110 0.007 16.168 0.000 0.110 0.185
.asr_rlbrk_cm_4 0.041 0.006 6.884 0.000 0.041 0.082
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.099 0.007 14.337 0.000 0.099 0.161
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.054 0.006 8.842 0.000 0.054 0.103
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.105 0.007 15.686 0.000 0.105 0.179
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.044 0.006 7.333 0.000 0.044 0.088
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.141 0.007 20.376 0.000 0.141 0.242
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.061 0.006 10.246 0.000 0.061 0.127
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.121 0.008 15.623 0.000 0.121 0.158
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.068 0.007 9.089 0.000 0.068 0.093
.asr_rlbrk_cm_4 0.073 0.008 9.572 0.000 0.073 0.104
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.073 0.008 9.594 0.000 0.073 0.099
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.112 0.007 15.148 0.000 0.112 0.159
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.072 0.007 9.630 0.000 0.072 0.106
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.086 0.008 10.931 0.000 0.086 0.117
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.078 0.008 10.253 0.000 0.078 0.113
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.111 0.008 14.637 0.000 0.111 0.165
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB 0.000 0.000 0.000
a_eta2 (m2) -0.025 0.006 -3.992 0.000 -0.031 -0.031
a_eta4 (m4) -0.047 0.007 -6.533 0.000 -0.059 -0.059
.asr___0 (t_AR) 0.025 0.009 2.745 0.006 0.025 0.024
.asr___2 (t_AR) 0.025 0.009 2.745 0.006 0.025 0.025
.asr___4 (t_AR) 0.025 0.009 2.745 0.006 0.025 0.025
.asr___0 (t_AX) 0.020 0.009 2.185 0.029 0.020 0.020
.asr___2 (t_AX) 0.020 0.009 2.185 0.029 0.020 0.020
.asr___4 (t_AX) 0.020 0.009 2.185 0.029 0.020 0.020
.asr___0 (t_AH) 0.023 0.009 2.601 0.009 0.023 0.023
.asr___2 (t_AH) 0.023 0.009 2.601 0.009 0.023 0.024
.asr___4 (t_AH) 0.023 0.009 2.601 0.009 0.023 0.024
.asr___0 (t_AG) 0.012 0.008 1.452 0.146 0.012 0.012
.asr___2 (t_AG) 0.012 0.008 1.452 0.146 0.012 0.012
.asr___4 (t_AG) 0.012 0.008 1.452 0.146 0.012 0.012
.asr___0 (t_AA) 0.026 0.009 3.057 0.002 0.026 0.025
.asr___2 (t_AA) 0.026 0.009 3.057 0.002 0.026 0.026
.asr___4 (t_AA) 0.026 0.009 3.057 0.002 0.026 0.027
.asr___0 (t_AS) 0.018 0.008 2.154 0.031 0.018 0.018
.asr___2 (t_AS) 0.018 0.008 2.154 0.031 0.018 0.018
.asr___4 (t_AS) 0.018 0.008 2.154 0.031 0.018 0.019
.asr___0 (t_AP) 0.024 0.009 2.698 0.007 0.024 0.023
.asr___2 (t_AP) 0.024 0.009 2.698 0.007 0.024 0.024
.asr___4 (t_AP) 0.024 0.009 2.698 0.007 0.024 0.025
.asr___0 (t_AW) 0.025 0.009 2.866 0.004 0.025 0.025
.asr___2 (t_AW) 0.025 0.009 2.866 0.004 0.025 0.025
.asr___4 (t_AW) 0.025 0.009 2.866 0.004 0.025 0.026
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB 0.717 0.012 59.261 0.000 1.000 1.000
a_eta2 0.677 0.012 56.277 0.000 1.000 1.000
a_eta4 0.640 0.012 53.186 0.000 1.000 1.000
.asr_nxdp_cmp_0 0.308 0.006 51.197 0.000 0.308 0.301
.asr_wthdp_cm_0 0.480 0.008 61.615 0.000 0.480 0.456
.asr_soma_cmp_0 0.556 0.008 65.850 0.000 0.556 0.552
.asr_thprb_cm_0 0.472 0.007 64.550 0.000 0.472 0.432
.asr_ttprb_cm_0 0.411 0.006 63.803 0.000 0.411 0.412
.asr_rlbrk_cm_0 0.655 0.009 69.075 0.000 0.655 0.599
.asr_ggrss_cm_0 0.451 0.007 63.879 0.000 0.451 0.426
.asr_intr_cmp_0 0.902 0.012 74.787 0.000 0.902 0.843
.asr_nxdp_cmp_2 0.340 0.007 52.178 0.000 0.340 0.334
.asr_wthdp_cm_2 0.478 0.008 60.174 0.000 0.478 0.469
.asr_soma_cmp_2 0.567 0.009 64.251 0.000 0.567 0.570
.asr_thprb_cm_2 0.410 0.007 61.040 0.000 0.410 0.412
.asr_ttprb_cm_2 0.387 0.006 60.857 0.000 0.387 0.411
.asr_rlbrk_cm_2 0.598 0.009 66.116 0.000 0.598 0.590
.asr_ggrss_cm_2 0.438 0.007 61.833 0.000 0.438 0.433
.asr_intr_cmp_2 0.824 0.011 71.955 0.000 0.824 0.838
.asr_nxdp_cmp_4 0.354 0.007 49.508 0.000 0.354 0.356
.asr_wthdp_cm_4 0.456 0.008 56.200 0.000 0.456 0.471
.asr_soma_cmp_4 0.560 0.009 59.943 0.000 0.560 0.581
.asr_thprb_cm_4 0.380 0.007 56.269 0.000 0.380 0.407
.asr_ttprb_cm_4 0.425 0.007 58.210 0.000 0.425 0.448
.asr_rlbrk_cm_4 0.555 0.009 61.252 0.000 0.555 0.586
.asr_ggrss_cm_4 0.419 0.007 57.631 0.000 0.419 0.436
.asr_intr_cmp_4 0.810 0.012 67.672 0.000 0.810 0.844
R-Square:
Estimate
asr_nxdp_cmp_0 0.699
asr_wthdp_cm_0 0.544
asr_soma_cmp_0 0.448
asr_thprb_cm_0 0.568
asr_ttprb_cm_0 0.588
asr_rlbrk_cm_0 0.401
asr_ggrss_cm_0 0.574
asr_intr_cmp_0 0.157
asr_nxdp_cmp_2 0.666
asr_wthdp_cm_2 0.531
asr_soma_cmp_2 0.430
asr_thprb_cm_2 0.588
asr_ttprb_cm_2 0.589
asr_rlbrk_cm_2 0.410
asr_ggrss_cm_2 0.567
asr_intr_cmp_2 0.162
asr_nxdp_cmp_4 0.644
asr_wthdp_cm_4 0.529
asr_soma_cmp_4 0.419
asr_thprb_cm_4 0.593
asr_ttprb_cm_4 0.552
asr_rlbrk_cm_4 0.414
asr_ggrss_cm_4 0.564
asr_intr_cmp_4 0.156
Latent growth curve model
model fit
lg.pp.3t.strong.invar <- "#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#observed variable intercepts
asr_anxdep_comp_0~tau_AX*1
asr_withdep_comp_0~tau_AW*1
asr_soma_comp_0~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_attprob_comp_0~tau_AH*1
asr_rulebreak_comp_0~tau_AA*1
asr_aggress_comp_0~tau_AR*1
asr_intru_comp_0~tau_AG*1
asr_anxdep_comp_2~tau_AX*1
asr_withdep_comp_2~tau_AW*1
asr_soma_comp_2~tau_AS*1
asr_thouprob_comp_2~tau_AP*1
asr_attprob_comp_2~tau_AH*1
asr_rulebreak_comp_2~tau_AA*1
asr_aggress_comp_2~tau_AR*1
asr_intru_comp_2~tau_AG*1
asr_anxdep_comp_4~tau_AX*1
asr_withdep_comp_4~tau_AW*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_4~tau_AP*1
asr_attprob_comp_4~tau_AH*1
asr_rulebreak_comp_4~tau_AA*1
asr_aggress_comp_4~tau_AR*1
asr_intru_comp_4~tau_AG*1
#latent basis model
a_i =~ 1*a_etaB+1*a_eta2+1*a_eta4
a_s =~ 0*a_etaB+1*a_eta2+2*a_eta4
a_i~~NA*a_i
a_s~~NA*a_s
a_i~~a_s
a_i~1
a_s~1
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1"
lavaan(lg.pp.3t.strong.invar,
data = pp_factor_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("lgcm_pp_3t_model.rds")result
readRDS("lgcm_pp_3t_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("lgcm_pp_3t_result.rds")# Check for Haywood case
eigen(inspect(readRDS("lgcm_pp_3t_model.rds"), "cor.lv"))$value[1] 3.35465801 1.18956762 0.23586793 0.16894611 0.05096033
readRDS("lgcm_pp_3t_result.rds")lavaan 0.6-19 ended normally after 79 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 155
Number of equality constraints 30
Used Total
Number of observations 11862 11865
Number of missing patterns 9
Model Test User Model:
Test statistic 4396.036
Degrees of freedom 199
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 186988.711
Degrees of freedom 276
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.978
Tucker-Lewis Index (TLI) 0.969
Robust Comparative Fit Index (CFI) 0.978
Robust Tucker-Lewis Index (TLI) 0.970
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -273438.881
Loglikelihood unrestricted model (H1) -271240.863
Akaike (AIC) 547127.761
Bayesian (BIC) 548050.398
Sample-size adjusted Bayesian (SABIC) 547653.163
Root Mean Square Error of Approximation:
RMSEA 0.042
90 Percent confidence interval - lower 0.041
90 Percent confidence interval - upper 0.043
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.044
90 Percent confidence interval - lower 0.043
90 Percent confidence interval - upper 0.046
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.036
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.847 0.836
asr___0 (l_AW) 0.894 0.007 125.991 0.000 0.757 0.738
asr___0 (l_AS) 0.794 0.007 110.886 0.000 0.672 0.670
asr___0 (l_AC) 0.930 0.008 123.885 0.000 0.787 0.753
asr___0 (l_AH) 0.905 0.007 129.618 0.000 0.766 0.767
asr___0 (l_AA) 0.783 0.008 97.319 0.000 0.663 0.634
asr___0 (l_AR) 0.920 0.007 123.531 0.000 0.779 0.757
asr___0 (l_AG) 0.484 0.008 58.859 0.000 0.410 0.396
a_eta2 =~
asr___2 1.000 0.823 0.816
asr___2 (l_AW) 0.894 0.007 125.991 0.000 0.736 0.729
asr___2 (l_AS) 0.794 0.007 110.886 0.000 0.654 0.656
asr___2 (l_AC) 0.930 0.008 123.885 0.000 0.765 0.767
asr___2 (l_AH) 0.905 0.007 129.618 0.000 0.745 0.768
asr___2 (l_AA) 0.783 0.008 97.319 0.000 0.644 0.640
asr___2 (l_AR) 0.920 0.007 123.531 0.000 0.757 0.753
asr___2 (l_AG) 0.484 0.008 58.859 0.000 0.399 0.402
a_eta4 =~
asr___4 1.000 0.800 0.802
asr___4 (l_AW) 0.894 0.007 125.991 0.000 0.715 0.727
asr___4 (l_AS) 0.794 0.007 110.886 0.000 0.635 0.647
asr___4 (l_AC) 0.930 0.008 123.885 0.000 0.744 0.770
asr___4 (l_AH) 0.905 0.007 129.618 0.000 0.724 0.743
asr___4 (l_AA) 0.783 0.008 97.319 0.000 0.626 0.643
asr___4 (l_AR) 0.920 0.007 123.531 0.000 0.736 0.751
asr___4 (l_AG) 0.484 0.008 58.859 0.000 0.387 0.395
a_i =~
a_etaB 1.000 0.889 0.889
a_eta2 1.000 0.915 0.915
a_eta4 1.000 0.942 0.942
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.257 0.257
a_eta4 2.000 0.528 0.528
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.181 0.005 35.766 0.000 0.181 0.558
.asr_nxdp_cmp_4 0.164 0.005 31.577 0.000 0.164 0.497
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.202 0.006 36.293 0.000 0.202 0.582
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.224 0.006 36.191 0.000 0.224 0.467
.asr_wthdp_cm_4 0.201 0.006 32.113 0.000 0.201 0.430
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.221 0.006 34.619 0.000 0.221 0.473
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.281 0.007 40.884 0.000 0.281 0.500
.asr_soma_cmp_4 0.243 0.007 34.933 0.000 0.243 0.436
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.287 0.007 39.180 0.000 0.287 0.510
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.192 0.005 34.927 0.000 0.192 0.436
.asr_thprb_cm_4 0.158 0.005 28.843 0.000 0.158 0.374
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.165 0.005 31.080 0.000 0.165 0.418
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.258 0.005 48.373 0.000 0.258 0.646
.asr_ttprb_cm_4 0.252 0.006 44.856 0.000 0.252 0.603
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.271 0.006 47.492 0.000 0.271 0.669
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.300 0.007 40.807 0.000 0.300 0.480
.asr_rlbrk_cm_4 0.257 0.007 35.228 0.000 0.257 0.425
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.278 0.007 38.060 0.000 0.278 0.483
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.246 0.006 43.115 0.000 0.246 0.554
.asr_ggrss_cm_4 0.221 0.006 38.910 0.000 0.221 0.509
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.250 0.006 42.443 0.000 0.250 0.584
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.497 0.010 51.798 0.000 0.497 0.577
.asr_intr_cmp_4 0.467 0.010 47.855 0.000 0.467 0.546
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.476 0.010 49.577 0.000 0.476 0.583
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.014 0.005 2.788 0.005 0.014 0.037
.asr_soma_cmp_0 0.028 0.005 5.347 0.000 0.028 0.068
.asr_wthdp_cm_2 0.017 0.005 3.471 0.001 0.017 0.045
.asr_soma_cmp_2 0.035 0.005 6.712 0.000 0.035 0.084
.asr_wthdp_cm_4 0.014 0.005 2.803 0.005 0.014 0.038
.asr_soma_cmp_4 0.032 0.005 5.825 0.000 0.032 0.077
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 0.006 0.005 1.199 0.230 0.006 0.015
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.028 0.005 5.242 0.000 0.028 0.064
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.034 0.005 6.317 0.000 0.034 0.084
.asr_soma_cmp_2 0.049 0.006 8.798 0.000 0.049 0.112
.asr_wthdp_cm_4 0.020 0.005 3.856 0.000 0.020 0.052
.asr_soma_cmp_4 0.030 0.006 5.316 0.000 0.030 0.069
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 -0.003 0.005 -0.531 0.595 -0.003 -0.007
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.026 0.006 4.630 0.000 0.026 0.058
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.014 0.005 2.622 0.009 0.014 0.035
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.046 0.006 7.915 0.000 0.046 0.102
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.039 0.006 6.853 0.000 0.039 0.096
.asr_soma_cmp_4 0.061 0.006 10.096 0.000 0.061 0.137
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.032 0.006 -5.558 0.000 -0.032 -0.063
.asr_soma_cmp_2 -0.019 0.006 -3.278 0.001 -0.019 -0.037
.asr_soma_cmp_4 -0.036 0.006 -5.849 0.000 -0.036 -0.070
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.013 0.006 -2.186 0.029 -0.013 -0.025
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.014 0.006 -2.313 0.021 -0.014 -0.027
.asr_soma_cmp_4 -0.022 0.006 -3.562 0.000 -0.022 -0.043
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.016 0.006 -2.746 0.006 -0.016 -0.033
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.020 0.006 -3.184 0.001 -0.020 -0.039
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.021 0.006 -3.435 0.001 -0.021 -0.042
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.136 0.007 19.907 0.000 0.136 0.213
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.071 0.006 11.828 0.000 0.071 0.131
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.087 0.007 13.343 0.000 0.087 0.143
.asr_rlbrk_cm_2 0.022 0.006 3.870 0.000 0.022 0.043
.asr_intr_cmp_4 0.095 0.007 14.057 0.000 0.095 0.157
.asr_rlbrk_cm_4 0.029 0.006 5.000 0.000 0.029 0.058
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.096 0.007 14.377 0.000 0.096 0.153
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.049 0.006 8.269 0.000 0.049 0.092
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.139 0.007 20.882 0.000 0.139 0.232
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.043 0.006 7.337 0.000 0.043 0.084
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.110 0.007 16.169 0.000 0.110 0.185
.asr_rlbrk_cm_4 0.041 0.006 6.888 0.000 0.041 0.082
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.099 0.007 14.338 0.000 0.099 0.161
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.054 0.006 8.842 0.000 0.054 0.103
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.105 0.007 15.689 0.000 0.105 0.179
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.044 0.006 7.336 0.000 0.044 0.088
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.141 0.007 20.376 0.000 0.141 0.242
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.061 0.006 10.244 0.000 0.061 0.127
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.121 0.008 15.624 0.000 0.121 0.158
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.068 0.007 9.089 0.000 0.068 0.093
.asr_rlbrk_cm_4 0.073 0.008 9.573 0.000 0.073 0.104
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.073 0.008 9.593 0.000 0.073 0.099
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.112 0.007 15.149 0.000 0.112 0.159
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.072 0.007 9.632 0.000 0.072 0.106
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.086 0.008 10.931 0.000 0.086 0.117
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.078 0.008 10.254 0.000 0.078 0.113
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.111 0.008 14.636 0.000 0.111 0.165
a_i ~~
a_s -0.054 0.006 -9.013 0.000 -0.339 -0.339
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) -0.007 0.004 -1.653 0.098 -0.007 -0.007
.asr___0 (t_AW) 0.001 0.005 0.254 0.800 0.001 0.001
.asr___0 (t_AS) -0.003 0.005 -0.554 0.580 -0.003 -0.003
.asr___0 (t_AP) -0.001 0.005 -0.248 0.804 -0.001 -0.001
.asr___0 (t_AH) -0.001 0.005 -0.257 0.797 -0.001 -0.001
.asr___0 (t_AA) 0.005 0.005 0.975 0.330 0.005 0.005
.asr___0 (t_AR) 0.000 0.005 0.003 0.998 0.000 0.000
.asr___0 (t_AG) -0.001 0.007 -0.134 0.893 -0.001 -0.001
.asr___2 (t_AX) -0.007 0.004 -1.653 0.098 -0.007 -0.007
.asr___2 (t_AW) 0.001 0.005 0.254 0.800 0.001 0.001
.asr___2 (t_AS) -0.003 0.005 -0.554 0.580 -0.003 -0.003
.asr___2 (t_AP) -0.001 0.005 -0.248 0.804 -0.001 -0.001
.asr___2 (t_AH) -0.001 0.005 -0.257 0.797 -0.001 -0.001
.asr___2 (t_AA) 0.005 0.005 0.975 0.330 0.005 0.005
.asr___2 (t_AR) 0.000 0.005 0.003 0.998 0.000 0.000
.asr___2 (t_AG) -0.001 0.007 -0.134 0.893 -0.001 -0.001
.asr___4 (t_AX) -0.007 0.004 -1.653 0.098 -0.007 -0.007
.asr___4 (t_AW) 0.001 0.005 0.254 0.800 0.001 0.001
.asr___4 (t_AS) -0.003 0.005 -0.554 0.580 -0.003 -0.003
.asr___4 (t_AP) -0.001 0.005 -0.248 0.804 -0.001 -0.001
.asr___4 (t_AH) -0.001 0.005 -0.257 0.797 -0.001 -0.001
.asr___4 (t_AA) 0.005 0.005 0.975 0.330 0.005 0.005
.asr___4 (t_AR) 0.000 0.005 0.003 0.998 0.000 0.000
.asr___4 (t_AG) -0.001 0.007 -0.134 0.893 -0.001 -0.001
a_i 0.026 0.008 3.422 0.001 0.035 0.035
a_s -0.024 0.004 -6.541 0.000 -0.111 -0.111
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.150 0.010 15.131 0.000 0.209 0.209
.a_eta2 0.173 0.005 32.248 0.000 0.256 0.256
.a_eta4 0.110 0.010 11.418 0.000 0.171 0.171
.asr_nxdp_cmp_0 0.308 0.006 51.197 0.000 0.308 0.301
.asr_wthdp_cm_0 0.480 0.008 61.615 0.000 0.480 0.456
.asr_soma_cmp_0 0.556 0.008 65.851 0.000 0.556 0.552
.asr_thprb_cm_0 0.472 0.007 64.551 0.000 0.472 0.432
.asr_ttprb_cm_0 0.411 0.006 63.803 0.000 0.411 0.412
.asr_rlbrk_cm_0 0.655 0.009 69.075 0.000 0.655 0.599
.asr_ggrss_cm_0 0.451 0.007 63.880 0.000 0.451 0.426
.asr_intr_cmp_0 0.902 0.012 74.787 0.000 0.902 0.843
.asr_nxdp_cmp_2 0.340 0.007 52.180 0.000 0.340 0.334
.asr_wthdp_cm_2 0.478 0.008 60.175 0.000 0.478 0.469
.asr_soma_cmp_2 0.567 0.009 64.252 0.000 0.567 0.570
.asr_thprb_cm_2 0.410 0.007 61.042 0.000 0.410 0.412
.asr_ttprb_cm_2 0.387 0.006 60.858 0.000 0.387 0.411
.asr_rlbrk_cm_2 0.598 0.009 66.116 0.000 0.598 0.590
.asr_ggrss_cm_2 0.438 0.007 61.833 0.000 0.438 0.433
.asr_intr_cmp_2 0.824 0.011 71.955 0.000 0.824 0.838
.asr_nxdp_cmp_4 0.354 0.007 49.509 0.000 0.354 0.356
.asr_wthdp_cm_4 0.456 0.008 56.199 0.000 0.456 0.471
.asr_soma_cmp_4 0.560 0.009 59.943 0.000 0.560 0.581
.asr_thprb_cm_4 0.380 0.007 56.270 0.000 0.380 0.407
.asr_ttprb_cm_4 0.425 0.007 58.211 0.000 0.425 0.448
.asr_rlbrk_cm_4 0.555 0.009 61.253 0.000 0.555 0.586
.asr_ggrss_cm_4 0.419 0.007 57.633 0.000 0.419 0.436
.asr_intr_cmp_4 0.810 0.012 67.672 0.000 0.810 0.844
a_i 0.567 0.013 42.193 0.000 1.000 1.000
a_s 0.045 0.005 9.073 0.000 1.000 1.000
R-Square:
Estimate
a_etaB 0.791
a_eta2 0.744
a_eta4 0.829
asr_nxdp_cmp_0 0.699
asr_wthdp_cm_0 0.544
asr_soma_cmp_0 0.448
asr_thprb_cm_0 0.568
asr_ttprb_cm_0 0.588
asr_rlbrk_cm_0 0.401
asr_ggrss_cm_0 0.574
asr_intr_cmp_0 0.157
asr_nxdp_cmp_2 0.666
asr_wthdp_cm_2 0.531
asr_soma_cmp_2 0.430
asr_thprb_cm_2 0.588
asr_ttprb_cm_2 0.589
asr_rlbrk_cm_2 0.410
asr_ggrss_cm_2 0.567
asr_intr_cmp_2 0.162
asr_nxdp_cmp_4 0.644
asr_wthdp_cm_4 0.529
asr_soma_cmp_4 0.419
asr_thprb_cm_4 0.593
asr_ttprb_cm_4 0.552
asr_rlbrk_cm_4 0.414
asr_ggrss_cm_4 0.564
asr_intr_cmp_4 0.156
ICC
lavPredict(readRDS("lgcm_pp_3t_model.rds"),
newdata = pp_factor_wide.scaled,
append.data = T
) %>%
data.frame() %>%
select(contains(c("a_eta"))) %>%
ICC(lmer = T) %>%
saveRDS("pp_3t_icc.rds")readRDS("pp_3t_icc.rds") %>%
{
\(x) x$results
}() %>%
knitr::kable()| type | ICC | F | df1 | df2 | p | lower bound | upper bound | |
|---|---|---|---|---|---|---|---|---|
| Single_raters_absolute | ICC1 | 0.7634206 | 10.68073 | 11864 | 23730 | 0 | 0.7571602 | 0.7695813 |
| Single_random_raters | ICC2 | 0.7634947 | 10.72330 | 11864 | 23728 | 0 | 0.7570760 | 0.7698020 |
| Single_fixed_raters | ICC3 | 0.7642120 | 10.72330 | 11864 | 23728 | 0 | 0.7579685 | 0.7703559 |
| Average_raters_absolute | ICC1k | 0.9063735 | 10.68073 | 11864 | 23730 | 0 | 0.9034173 | 0.9092540 |
| Average_random_raters | ICC2k | 0.9064083 | 10.72330 | 11864 | 23728 | 0 | 0.9033774 | 0.9093567 |
| Average_fixed_raters | ICC3k | 0.9067451 | 10.72330 | 11864 | 23728 | 0 | 0.9038006 | 0.9096143 |
LGCM plot
lgcm_plot(readRDS("lgcm_pp_3t_model.rds")) +
labs(y = "Parent's\nPsychopathology") +
scale_x_continuous(
breaks = seq(0, 2, 1),
labels = c("10", "12", "14")
) +
# add significant results for intercept and slope
annotate(geom = "text", x = 1.5, y = 0.023, label = 'paste(" ",italic("i")," = .026***")', parse = TRUE, size = 10) +
annotate(geom = "text", x = 1.5, y = 0.016, label = 'paste(italic("s")," = -.024***")', parse = TRUE, size = 10)
Model comparison
lapply(
c(
"pp_3t_config_result.rds",
"pp_3t_weak_result.rds",
"pp_3t_strong_result.rds",
"lgcm_pp_3t_result.rds"
),
function(f) {
readRDS(f)$fit[c(
"chisq", "df", "pvalue",
"cfi.robust", "tli.robust",
"rmsea.robust", "rmsea.ci.lower.robust",
"rmsea.ci.upper.robust", "srmr"
)]
}
) %>%
do.call(rbind, .) %>%
round(3) %>%
data.frame(model = c("config", "weak", "strong", "LGCM"), ., row.names = NULL) %>%
knitr::kable()| model | chisq | df | pvalue | cfi.robust | tli.robust | rmsea.robust | rmsea.ci.lower.robust | rmsea.ci.upper.robust | srmr |
|---|---|---|---|---|---|---|---|---|---|
| config | 3505.862 | 171 | 0 | 0.983 | 0.973 | 0.042 | 0.041 | 0.044 | 0.031 |
| weak | 3872.010 | 185 | 0 | 0.981 | 0.972 | 0.043 | 0.042 | 0.044 | 0.035 |
| strong | 4395.918 | 199 | 0 | 0.978 | 0.970 | 0.044 | 0.043 | 0.046 | 0.036 |
| LGCM | 4396.036 | 199 | 0 | 0.978 | 0.970 | 0.044 | 0.043 | 0.046 | 0.036 |
Parallel Latent Growth Curve Modeling
p factor model
pc ~ pp + g model
Children’s psychopathology (pc) was regressed on parental psychopathology (pp) and children’s cognitive functioning (g).
model fit
pga6.model <- "# second-order pp factor
#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#observed variable intercepts
asr_anxdep_comp_0~tau_AX*1
asr_withdep_comp_0~tau_AW*1
asr_soma_comp_0~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_attprob_comp_0~tau_AH*1
asr_rulebreak_comp_0~tau_AA*1
asr_aggress_comp_0~tau_AR*1
asr_intru_comp_0~tau_AG*1
asr_anxdep_comp_2~tau_AX*1
asr_withdep_comp_2~tau_AW*1
asr_soma_comp_2~tau_AS*1
asr_thouprob_comp_2~tau_AP*1
asr_attprob_comp_2~tau_AH*1
asr_rulebreak_comp_2~tau_AA*1
asr_aggress_comp_2~tau_AR*1
asr_intru_comp_2~tau_AG*1
asr_anxdep_comp_4~tau_AX*1
asr_withdep_comp_4~tau_AW*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_4~tau_AP*1
asr_attprob_comp_4~tau_AH*1
asr_rulebreak_comp_4~tau_AA*1
asr_aggress_comp_4~tau_AR*1
asr_intru_comp_4~tau_AG*1
#latent basis model
a_i =~ 1*a_etaB+1*a_eta2+1*a_eta4
a_s =~ 0*a_etaB+1*a_eta2+2*a_eta4
a_i~~NA*a_i
a_s~~NA*a_s
a_i~~a_s
a_i~1
a_s~1
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
# second-order pc factor
#factor loadings (with constraints)
p_etaB =~ 1*anxdep_comp_0+
lambda_CW*withdep_comp_0+
lambda_CS*soma_comp_0+
lambda_CC*socprob_comp_0+
lambda_CH*thouprob_comp_0+
lambda_CA*attprob_comp_0+
lambda_CR*rulebreak_comp_0+
lambda_CG*aggress_comp_0
p_eta1 =~ 1*anxdep_comp_1+
lambda_CW*withdep_comp_1+
lambda_CS*soma_comp_1+
lambda_CC*socprob_comp_1+
lambda_CH*thouprob_comp_1+
lambda_CA*attprob_comp_1+
lambda_CR*rulebreak_comp_1+
lambda_CG*aggress_comp_1
p_eta2 =~ 1*anxdep_comp_2+
lambda_CW*withdep_comp_2+
lambda_CS*soma_comp_2+
lambda_CC*socprob_comp_2+
lambda_CH*thouprob_comp_2+
lambda_CA*attprob_comp_2+
lambda_CR*rulebreak_comp_2+
lambda_CG*aggress_comp_2
p_eta3 =~ 1*anxdep_comp_3+
lambda_CW*withdep_comp_3+
lambda_CS*soma_comp_3+
lambda_CC*socprob_comp_3+
lambda_CH*thouprob_comp_3+
lambda_CA*attprob_comp_3+
lambda_CR*rulebreak_comp_3+
lambda_CG*aggress_comp_3
p_eta4 =~ 1*anxdep_comp_4+
lambda_CW*withdep_comp_4+
lambda_CS*soma_comp_4+
lambda_CC*socprob_comp_4+
lambda_CH*thouprob_comp_4+
lambda_CA*attprob_comp_4+
lambda_CR*rulebreak_comp_4+
lambda_CG*aggress_comp_4
p_eta5 =~ 1*anxdep_comp_5+
lambda_CW*withdep_comp_5+
lambda_CS*soma_comp_5+
lambda_CC*socprob_comp_5+
lambda_CH*thouprob_comp_5+
lambda_CA*attprob_comp_5+
lambda_CR*rulebreak_comp_5+
lambda_CG*aggress_comp_5
p_eta6 =~ 1*anxdep_comp_6+
lambda_CW*withdep_comp_6+
lambda_CS*soma_comp_6+
lambda_CC*socprob_comp_6+
lambda_CH*thouprob_comp_6+
lambda_CA*attprob_comp_6+
lambda_CR*rulebreak_comp_6+
lambda_CG*aggress_comp_6
#latent variable variances
p_etaB~~NA*p_etaB
p_eta1~~NA*p_eta1
p_eta2~~NA*p_eta2
p_eta3~~NA*p_eta3
p_eta4~~NA*p_eta4
p_eta5~~NA*p_eta5
p_eta6~~NA*p_eta6
#unique variances # No need to constrict these
anxdep_comp_0~~anxdep_comp_0
withdep_comp_0~~withdep_comp_0
soma_comp_0~~soma_comp_0
socprob_comp_0~~socprob_comp_0
thouprob_comp_0~~thouprob_comp_0
attprob_comp_0~~attprob_comp_0
rulebreak_comp_0~~rulebreak_comp_0
aggress_comp_0~~aggress_comp_0
anxdep_comp_1~~anxdep_comp_1
withdep_comp_1~~withdep_comp_1
soma_comp_1~~soma_comp_1
socprob_comp_1~~socprob_comp_1
thouprob_comp_1~~thouprob_comp_1
attprob_comp_1~~attprob_comp_1
rulebreak_comp_1~~rulebreak_comp_1
aggress_comp_1~~aggress_comp_1
anxdep_comp_2~~anxdep_comp_2
withdep_comp_2~~withdep_comp_2
soma_comp_2~~soma_comp_2
socprob_comp_2~~socprob_comp_2
thouprob_comp_2~~thouprob_comp_2
attprob_comp_2~~attprob_comp_2
rulebreak_comp_2~~rulebreak_comp_2
aggress_comp_2~~aggress_comp_2
anxdep_comp_3~~anxdep_comp_3
withdep_comp_3~~withdep_comp_3
soma_comp_3~~soma_comp_3
socprob_comp_3~~socprob_comp_3
thouprob_comp_3~~thouprob_comp_3
attprob_comp_3~~attprob_comp_3
rulebreak_comp_3~~rulebreak_comp_3
aggress_comp_3~~aggress_comp_3
anxdep_comp_4~~anxdep_comp_4
withdep_comp_4~~withdep_comp_4
soma_comp_4~~soma_comp_4
socprob_comp_4~~socprob_comp_4
thouprob_comp_4~~thouprob_comp_4
attprob_comp_4~~attprob_comp_4
rulebreak_comp_4~~rulebreak_comp_4
aggress_comp_4~~aggress_comp_4
anxdep_comp_5~~anxdep_comp_5
withdep_comp_5~~withdep_comp_5
soma_comp_5~~soma_comp_5
socprob_comp_5~~socprob_comp_5
thouprob_comp_5~~thouprob_comp_5
attprob_comp_5~~attprob_comp_5
rulebreak_comp_5~~rulebreak_comp_5
aggress_comp_5~~aggress_comp_5
anxdep_comp_6~~anxdep_comp_6
withdep_comp_6~~withdep_comp_6
soma_comp_6~~soma_comp_6
socprob_comp_6~~socprob_comp_6
thouprob_comp_6~~thouprob_comp_6
attprob_comp_6~~attprob_comp_6
rulebreak_comp_6~~rulebreak_comp_6
aggress_comp_6~~aggress_comp_6
#unique covariances
# Scores arcoss times
anxdep_comp_0~~anxdep_comp_1 + anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_1~~anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_2~~anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_3~~anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_4~~anxdep_comp_5+ anxdep_comp_6
anxdep_comp_5~~anxdep_comp_6
withdep_comp_0~~withdep_comp_1 + withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_1~~withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_2~~withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_3~~withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_4~~withdep_comp_5 + withdep_comp_6
withdep_comp_5~~withdep_comp_6
soma_comp_0~~soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_1~~soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_2~~soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_3~~soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_4~~soma_comp_5 + soma_comp_6
soma_comp_5~~soma_comp_6
socprob_comp_0~~socprob_comp_1 + socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_1~~socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_2~~socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_3~~socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_4~~socprob_comp_5 + socprob_comp_6
socprob_comp_5~~socprob_comp_6
thouprob_comp_0~~thouprob_comp_1 + thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_1~~thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_2~~thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_3~~thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_4~~thouprob_comp_5 + thouprob_comp_6
thouprob_comp_5~~thouprob_comp_6
attprob_comp_0~~attprob_comp_1 + attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_1~~attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_2~~attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_3~~attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_4~~attprob_comp_5 + attprob_comp_6
attprob_comp_5~~attprob_comp_6
rulebreak_comp_0~~rulebreak_comp_1 + rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_1~~rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_2~~rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_3~~rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_4~~rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_5~~rulebreak_comp_6
aggress_comp_0~~aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_1~~aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_2~~aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_3~~aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_4~~aggress_comp_5 + aggress_comp_6
aggress_comp_5~~aggress_comp_6
# Internalizeing subscale covariances
anxdep_comp_0~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_1~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_2~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_3~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_4~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_5~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_6~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
withdep_comp_0~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_1~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_2~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_3~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_4~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_5~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_6~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
# Externalizeing subscale covariances
rulebreak_comp_0~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_1~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_2~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_3~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_4~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_5~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_6~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
#observed variable intercepts
anxdep_comp_0~tau_CX*1
anxdep_comp_1~tau_CX*1
anxdep_comp_2~tau_CX*1
anxdep_comp_3~tau_CX*1
anxdep_comp_4~tau_CX*1
anxdep_comp_5~tau_CX*1
anxdep_comp_6~tau_CX*1
withdep_comp_0~tau_CW*1
withdep_comp_1~tau_CW*1
withdep_comp_2~tau_CW*1
withdep_comp_3~tau_CW*1
withdep_comp_4~tau_CW*1
withdep_comp_5~tau_CW*1
withdep_comp_6~tau_CW*1
soma_comp_0~tau_CS*1
soma_comp_1~tau_CS*1
soma_comp_2~tau_CS*1
soma_comp_3~tau_CS*1
soma_comp_4~tau_CS*1
soma_comp_5~tau_CS*1
soma_comp_6~tau_CS*1
socprob_comp_0~tau_CP*1
socprob_comp_1~tau_CP*1
socprob_comp_2~tau_CP*1
socprob_comp_3~tau_CP*1
socprob_comp_4~tau_CP*1
socprob_comp_5~tau_CP*1
socprob_comp_6~tau_CP*1
thouprob_comp_0~tau_CH*1
thouprob_comp_1~tau_CH*1
thouprob_comp_2~tau_CH*1
thouprob_comp_3~tau_CH*1
thouprob_comp_4~tau_CH*1
thouprob_comp_5~tau_CH*1
thouprob_comp_6~tau_CH*1
attprob_comp_0~tau_CA*1
attprob_comp_1~tau_CA*1
attprob_comp_2~tau_CA*1
attprob_comp_3~tau_CA*1
attprob_comp_4~tau_CA*1
attprob_comp_5~tau_CA*1
attprob_comp_6~tau_CA*1
rulebreak_comp_0~tau_CR*1
rulebreak_comp_1~tau_CR*1
rulebreak_comp_2~tau_CR*1
rulebreak_comp_3~tau_CR*1
rulebreak_comp_4~tau_CR*1
rulebreak_comp_5~tau_CR*1
rulebreak_comp_6~tau_CR*1
aggress_comp_0~tau_CG*1
aggress_comp_1~tau_CG*1
aggress_comp_2~tau_CG*1
aggress_comp_3~tau_CG*1
aggress_comp_4~tau_CG*1
aggress_comp_5~tau_CG*1
aggress_comp_6~tau_CG*1
#latent basis model
p_i =~ 1*p_etaB + 1*p_eta1 + 1*p_eta2 + 1*p_eta3 + 1*p_eta4 + 1*p_eta5 + 1*p_eta6
p_s =~ 0*p_etaB + .5*p_eta1 + 1*p_eta2 + 1.5*p_eta3 + 2*p_eta4 + 2.5*p_eta5 + 3*p_eta6
p_q =~ 0*p_etaB + .25*p_eta1 + 1*p_eta2 + 2.25*p_eta3 + 4*p_eta4 + 6.25*p_eta5 + 9*p_eta6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1
p_s~1
p_q~1
p_etaB ~ 0*1
p_eta1 ~ 0*1
p_eta2 ~ 0*1
p_eta3 ~ 0*1
p_eta4 ~ 0*1
p_eta5 ~ 0*1
p_eta6 ~ 0*1
# second-order g factor
#factor loadings # S & S2
g_etaB =~ 1*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ 1*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ 1*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ 1*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances
g_etaB~~NA*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1
#latent basis model
g_i =~ 1*g_etaB + 1*g_eta2 + 1*g_eta4 + 1*g_eta6
g_s =~ 0*g_etaB + 1*g_eta2 + 2*g_eta4 + 3*g_eta6
g_i~~NA*g_i
g_s~~NA*g_s
g_i~~g_s
g_i~1
g_s~1
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
# regression
p_i ~ g_i + a_i
p_s ~ g_i + g_s + a_i + a_s
p_q ~ g_i + g_s + a_i + a_s"lavaan(pga6.model,
data = readRDS("pga6_all_data.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = FALSE,
std.lv = T
) %>%
saveRDS("pgcm_pga6_model.rds")result
readRDS("pgcm_pga6_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_pga6_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_pga6_model.rds"), "cor.lv"))$value [1] 7.918474740 4.667846162 3.215923037 1.363999878 0.958465183 0.758783624
[7] 0.376478552 0.228289026 0.226437394 0.217924215 0.213371515 0.186833959
[13] 0.156748073 0.137647981 0.119275459 0.079309934 0.058937882 0.052864742
[19] 0.039494084 0.016384857 0.006509703
readRDS("pgcm_pga6_result.rds")lavaan 0.6-19 ended normally after 344 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 817
Number of equality constraints 147
Used Total
Number of observations 11866 11867
Number of missing patterns 713
Model Test User Model:
Test statistic 39922.788
Degrees of freedom 4480
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 796830.018
Degrees of freedom 4950
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.955
Tucker-Lewis Index (TLI) 0.951
Robust Comparative Fit Index (CFI) 0.954
Robust Tucker-Lewis Index (TLI) 0.949
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -962585.213
Loglikelihood unrestricted model (H1) -942623.819
Akaike (AIC) 1926510.426
Bayesian (BIC) 1931455.986
Sample-size adjusted Bayesian (SABIC) 1929326.803
Root Mean Square Error of Approximation:
RMSEA 0.026
90 Percent confidence interval - lower 0.026
90 Percent confidence interval - upper 0.026
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.030
90 Percent confidence interval - lower 0.029
90 Percent confidence interval - upper 0.030
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.056
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.842 0.834
asr___0 (l_AW) 0.891 0.007 126.536 0.000 0.750 0.733
asr___0 (l_AS) 0.799 0.007 112.096 0.000 0.673 0.672
asr___0 (l_AC) 0.929 0.007 125.436 0.000 0.783 0.752
asr___0 (l_AH) 0.907 0.007 131.159 0.000 0.764 0.767
asr___0 (l_AA) 0.779 0.008 98.161 0.000 0.656 0.628
asr___0 (l_AR) 0.921 0.007 125.143 0.000 0.776 0.757
asr___0 (l_AG) 0.489 0.008 59.988 0.000 0.412 0.399
a_eta2 =~
asr___2 1.000 0.832 0.819
asr___2 (l_AW) 0.891 0.007 126.536 0.000 0.741 0.730
asr___2 (l_AS) 0.799 0.007 112.096 0.000 0.665 0.664
asr___2 (l_AC) 0.929 0.007 125.436 0.000 0.773 0.769
asr___2 (l_AH) 0.907 0.007 131.159 0.000 0.755 0.773
asr___2 (l_AA) 0.779 0.008 98.161 0.000 0.648 0.640
asr___2 (l_AR) 0.921 0.007 125.143 0.000 0.766 0.758
asr___2 (l_AG) 0.489 0.008 59.988 0.000 0.407 0.409
a_eta4 =~
asr___4 1.000 0.801 0.803
asr___4 (l_AW) 0.891 0.007 126.536 0.000 0.713 0.724
asr___4 (l_AS) 0.799 0.007 112.096 0.000 0.640 0.652
asr___4 (l_AC) 0.929 0.007 125.436 0.000 0.744 0.768
asr___4 (l_AH) 0.907 0.007 131.159 0.000 0.726 0.746
asr___4 (l_AA) 0.779 0.008 98.161 0.000 0.623 0.640
asr___4 (l_AR) 0.921 0.007 125.143 0.000 0.737 0.752
asr___4 (l_AG) 0.489 0.008 59.988 0.000 0.391 0.400
a_i =~
a_etaB 1.000 0.926 0.926
a_eta2 1.000 0.937 0.937
a_eta4 1.000 0.974 0.974
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.302 0.302
a_eta4 2.000 0.627 0.627
p_etaB =~
anxd__0 1.000 0.740 0.720
wthd__0 (l_CW) 0.864 0.006 140.995 0.000 0.640 0.709
sm_cm_0 (l_CS) 0.739 0.007 110.836 0.000 0.547 0.550
scpr__0 (l_CC) 1.119 0.007 153.837 0.000 0.829 0.788
thpr__0 (l_CH) 1.105 0.007 152.307 0.000 0.818 0.787
attp__0 (l_CA) 0.995 0.007 142.699 0.000 0.737 0.737
rlbr__0 (l_CR) 0.858 0.007 120.337 0.000 0.635 0.676
aggr__0 (l_CG) 1.067 0.007 147.057 0.000 0.790 0.755
p_eta1 =~
anxd__1 1.000 0.735 0.712
wthd__1 (l_CW) 0.864 0.006 140.995 0.000 0.635 0.695
sm_cm_1 (l_CS) 0.739 0.007 110.836 0.000 0.543 0.545
scpr__1 (l_CC) 1.119 0.007 153.837 0.000 0.823 0.797
thpr__1 (l_CH) 1.105 0.007 152.307 0.000 0.812 0.781
attp__1 (l_CA) 0.995 0.007 142.699 0.000 0.732 0.738
rlbr__1 (l_CR) 0.858 0.007 120.337 0.000 0.631 0.673
aggr__1 (l_CG) 1.067 0.007 147.057 0.000 0.784 0.763
p_eta2 =~
anxd__2 1.000 0.727 0.717
wthd__2 (l_CW) 0.864 0.006 140.995 0.000 0.628 0.653
sm_cm_2 (l_CS) 0.739 0.007 110.836 0.000 0.537 0.558
scpr__2 (l_CC) 1.119 0.007 153.837 0.000 0.813 0.809
thpr__2 (l_CH) 1.105 0.007 152.307 0.000 0.803 0.797
attp__2 (l_CA) 0.995 0.007 142.699 0.000 0.723 0.744
rlbr__2 (l_CR) 0.858 0.007 120.337 0.000 0.624 0.662
aggr__2 (l_CG) 1.067 0.007 147.057 0.000 0.775 0.767
p_eta3 =~
anxd__3 1.000 0.719 0.704
wthd__3 (l_CW) 0.864 0.006 140.995 0.000 0.621 0.602
sm_cm_3 (l_CS) 0.739 0.007 110.836 0.000 0.531 0.552
scpr__3 (l_CC) 1.119 0.007 153.837 0.000 0.805 0.818
thpr__3 (l_CH) 1.105 0.007 152.307 0.000 0.795 0.804
attp__3 (l_CA) 0.995 0.007 142.699 0.000 0.716 0.743
rlbr__3 (l_CR) 0.858 0.007 120.337 0.000 0.617 0.648
aggr__3 (l_CG) 1.067 0.007 147.057 0.000 0.767 0.768
p_eta4 =~
anxd__4 1.000 0.707 0.708
wthd__4 (l_CW) 0.864 0.006 140.995 0.000 0.611 0.560
sm_cm_4 (l_CS) 0.739 0.007 110.836 0.000 0.522 0.521
scpr__4 (l_CC) 1.119 0.007 153.837 0.000 0.791 0.820
thpr__4 (l_CH) 1.105 0.007 152.307 0.000 0.781 0.808
attp__4 (l_CA) 0.995 0.007 142.699 0.000 0.704 0.752
rlbr__4 (l_CR) 0.858 0.007 120.337 0.000 0.606 0.585
aggr__4 (l_CG) 1.067 0.007 147.057 0.000 0.754 0.785
p_eta5 =~
anxd__5 1.000 0.704 0.698
wthd__5 (l_CW) 0.864 0.006 140.995 0.000 0.608 0.540
sm_cm_5 (l_CS) 0.739 0.007 110.836 0.000 0.520 0.486
scpr__5 (l_CC) 1.119 0.007 153.837 0.000 0.788 0.822
thpr__5 (l_CH) 1.105 0.007 152.307 0.000 0.778 0.785
attp__5 (l_CA) 0.995 0.007 142.699 0.000 0.701 0.744
rlbr__5 (l_CR) 0.858 0.007 120.337 0.000 0.604 0.524
aggr__5 (l_CG) 1.067 0.007 147.057 0.000 0.751 0.783
p_eta6 =~
anxd__6 1.000 0.667 0.696
wthd__6 (l_CW) 0.864 0.006 140.995 0.000 0.577 0.533
sm_cm_6 (l_CS) 0.739 0.007 110.836 0.000 0.493 0.462
scpr__6 (l_CC) 1.119 0.007 153.837 0.000 0.747 0.828
thpr__6 (l_CH) 1.105 0.007 152.307 0.000 0.737 0.803
attp__6 (l_CA) 0.995 0.007 142.699 0.000 0.664 0.737
rlbr__6 (l_CR) 0.858 0.007 120.337 0.000 0.573 0.495
aggr__6 (l_CG) 1.067 0.007 147.057 0.000 0.712 0.795
p_i =~
p_etaB 1.000 0.925 0.925
p_eta1 1.000 0.931 0.931
p_eta2 1.000 0.942 0.942
p_eta3 1.000 0.952 0.952
p_eta4 1.000 0.969 0.969
p_eta5 1.000 0.972 0.972
p_eta6 1.000 1.026 1.026
p_s =~
p_etaB 0.000 0.000 0.000
p_eta1 0.500 0.290 0.290
p_eta2 1.000 0.587 0.587
p_eta3 1.500 0.889 0.889
p_eta4 2.000 1.207 1.207
p_eta5 2.500 1.514 1.514
p_eta6 3.000 1.917 1.917
p_q =~
p_etaB 0.000 0.000 0.000
p_eta1 0.250 0.042 0.042
p_eta2 1.000 0.169 0.169
p_eta3 2.250 0.385 0.385
p_eta4 4.000 0.696 0.696
p_eta5 6.250 1.092 1.092
p_eta6 9.000 1.659 1.659
g_etaB =~
flnkr_0 1.000 0.404 0.439
pttrn_0 (lm_R) 1.217 0.011 112.933 0.000 0.491 0.645
pictr_0 (lm_M) 0.599 0.009 64.812 0.000 0.242 0.287
pcvcb_0 (lm_P) 0.928 0.009 107.796 0.000 0.375 0.447
redng_0 (lm_V) 0.981 0.009 111.525 0.000 0.396 0.463
g_eta2 =~
flnkr_2 1.000 0.413 0.517
pttrn_2 (lm_R) 1.217 0.011 112.933 0.000 0.502 0.652
pictr_2 (lm_M) 0.599 0.009 64.812 0.000 0.247 0.277
pcvcb_2 (lm_P) 0.928 0.009 107.796 0.000 0.383 0.438
redng_2 (lm_V) 0.981 0.009 111.525 0.000 0.405 0.480
g_eta4 =~
flnkr_4 1.000 0.443 0.557
pttrn_4 (lm_R) 1.217 0.011 112.933 0.000 0.539 0.655
pictr_4 (lm_M) 0.599 0.009 64.812 0.000 0.265 0.250
pcvcb_4 (lm_P) 0.928 0.009 107.796 0.000 0.411 0.444
redng_4 (lm_V) 0.981 0.009 111.525 0.000 0.434 0.470
g_eta6 =~
flnkr_6 1.000 0.496 0.609
pttrn_6 (lm_R) 1.217 0.011 112.933 0.000 0.603 0.705
pictr_6 (lm_M) 0.599 0.009 64.812 0.000 0.297 0.280
pcvcb_6 (lm_P) 0.928 0.009 107.796 0.000 0.460 0.492
redng_6 (lm_V) 0.981 0.009 111.525 0.000 0.486 0.501
g_i =~
g_etaB 1.000 0.963 0.963
g_eta2 1.000 0.942 0.942
g_eta4 1.000 0.878 0.878
g_eta6 1.000 0.784 0.784
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.127 0.127
g_eta4 2.000 0.237 0.237
g_eta6 3.000 0.318 0.318
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i ~
g_i -0.270 0.019 -14.160 0.000 -0.153 -0.153
a_i 0.609 0.010 59.286 0.000 0.693 0.693
p_s ~
g_i 0.091 0.028 3.270 0.001 0.083 0.083
g_s -0.826 0.427 -1.935 0.053 -0.102 -0.102
a_i 0.014 0.012 1.181 0.238 0.025 0.025
a_s 1.286 0.065 19.842 0.000 0.757 0.757
p_q ~
g_i -0.016 0.009 -1.753 0.080 -0.051 -0.051
g_s 0.227 0.142 1.606 0.108 0.097 0.097
a_i -0.018 0.004 -5.014 0.000 -0.114 -0.114
a_s -0.316 0.019 -16.837 0.000 -0.645 -0.645
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.181 0.005 36.978 0.000 0.181 0.557
.asr_nxdp_cmp_4 0.165 0.005 32.638 0.000 0.165 0.497
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.201 0.005 37.264 0.000 0.201 0.582
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.228 0.006 37.168 0.000 0.228 0.471
.asr_wthdp_cm_4 0.207 0.006 33.242 0.000 0.207 0.437
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.225 0.006 35.569 0.000 0.225 0.478
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.275 0.007 40.924 0.000 0.275 0.495
.asr_soma_cmp_4 0.239 0.007 35.085 0.000 0.239 0.433
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.282 0.007 39.219 0.000 0.282 0.506
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.192 0.005 35.471 0.000 0.192 0.437
.asr_thprb_cm_4 0.160 0.005 29.475 0.000 0.160 0.377
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.168 0.005 31.893 0.000 0.168 0.422
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.254 0.005 48.592 0.000 0.254 0.644
.asr_ttprb_cm_4 0.248 0.006 44.908 0.000 0.248 0.599
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.267 0.006 47.605 0.000 0.267 0.666
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.305 0.007 41.525 0.000 0.305 0.483
.asr_rlbrk_cm_4 0.261 0.007 35.966 0.000 0.261 0.429
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.284 0.007 38.856 0.000 0.284 0.487
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.243 0.006 43.313 0.000 0.243 0.551
.asr_ggrss_cm_4 0.220 0.006 39.257 0.000 0.220 0.508
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.248 0.006 42.711 0.000 0.248 0.582
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.495 0.010 51.818 0.000 0.495 0.576
.asr_intr_cmp_4 0.464 0.010 47.896 0.000 0.464 0.546
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.473 0.010 49.571 0.000 0.473 0.582
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.019 0.005 3.861 0.000 0.019 0.049
.asr_soma_cmp_0 0.026 0.005 5.101 0.000 0.026 0.063
.asr_wthdp_cm_2 0.019 0.005 3.919 0.000 0.019 0.049
.asr_soma_cmp_2 0.032 0.005 6.175 0.000 0.032 0.076
.asr_wthdp_cm_4 0.017 0.005 3.409 0.001 0.017 0.045
.asr_soma_cmp_4 0.030 0.005 5.648 0.000 0.030 0.073
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 0.009 0.005 1.812 0.070 0.009 0.022
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.025 0.005 4.794 0.000 0.025 0.057
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.035 0.005 6.770 0.000 0.035 0.087
.asr_soma_cmp_2 0.045 0.005 8.193 0.000 0.045 0.102
.asr_wthdp_cm_4 0.022 0.005 4.258 0.000 0.022 0.056
.asr_soma_cmp_4 0.027 0.006 4.818 0.000 0.027 0.061
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 0.001 0.005 0.159 0.874 0.001 0.002
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.023 0.005 4.308 0.000 0.023 0.053
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.016 0.005 3.082 0.002 0.016 0.040
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.042 0.006 7.400 0.000 0.042 0.094
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.041 0.006 7.383 0.000 0.041 0.101
.asr_soma_cmp_4 0.057 0.006 9.713 0.000 0.057 0.129
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.033 0.006 -5.715 0.000 -0.033 -0.063
.asr_soma_cmp_2 -0.020 0.006 -3.518 0.000 -0.020 -0.039
.asr_soma_cmp_4 -0.035 0.006 -5.701 0.000 -0.035 -0.067
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.014 0.006 -2.491 0.013 -0.014 -0.028
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.016 0.006 -2.721 0.007 -0.016 -0.031
.asr_soma_cmp_4 -0.023 0.006 -3.680 0.000 -0.023 -0.044
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.017 0.006 -2.818 0.005 -0.017 -0.033
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.021 0.006 -3.462 0.001 -0.021 -0.042
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.022 0.006 -3.588 0.000 -0.022 -0.044
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.131 0.007 19.510 0.000 0.131 0.207
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.073 0.006 12.323 0.000 0.073 0.134
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.084 0.006 13.042 0.000 0.084 0.139
.asr_rlbrk_cm_2 0.024 0.006 4.297 0.000 0.024 0.047
.asr_intr_cmp_4 0.093 0.007 13.905 0.000 0.093 0.154
.asr_rlbrk_cm_4 0.032 0.006 5.473 0.000 0.032 0.063
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.093 0.007 13.978 0.000 0.093 0.148
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.050 0.006 8.548 0.000 0.050 0.094
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.136 0.007 20.641 0.000 0.136 0.227
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.045 0.006 7.834 0.000 0.045 0.088
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.107 0.007 15.866 0.000 0.107 0.180
.asr_rlbrk_cm_4 0.043 0.006 7.286 0.000 0.043 0.086
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.095 0.007 13.982 0.000 0.095 0.156
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.056 0.006 9.316 0.000 0.056 0.107
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.102 0.007 15.325 0.000 0.102 0.174
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.047 0.006 7.891 0.000 0.047 0.093
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.137 0.007 20.047 0.000 0.137 0.236
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.064 0.006 10.893 0.000 0.064 0.133
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.119 0.008 15.472 0.000 0.119 0.155
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.067 0.007 8.999 0.000 0.067 0.091
.asr_rlbrk_cm_4 0.072 0.008 9.449 0.000 0.072 0.101
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.072 0.008 9.534 0.000 0.072 0.098
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.112 0.007 15.169 0.000 0.112 0.158
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.071 0.007 9.524 0.000 0.071 0.104
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.086 0.008 10.994 0.000 0.086 0.117
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.078 0.008 10.266 0.000 0.078 0.112
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.110 0.008 14.579 0.000 0.110 0.163
a_i ~~
a_s -0.080 0.004 -18.290 0.000 -0.410 -0.410
.anxdep_comp_0 ~~
.anxdep_comp_1 0.313 0.006 48.532 0.000 0.313 0.604
.anxdep_comp_2 0.275 0.006 44.607 0.000 0.275 0.545
.anxdep_comp_3 0.249 0.006 39.822 0.000 0.249 0.481
.anxdep_comp_4 0.222 0.006 36.354 0.000 0.222 0.441
.anxdep_comp_5 0.202 0.006 31.684 0.000 0.202 0.392
.anxdep_comp_6 0.182 0.007 25.138 0.000 0.182 0.370
.anxdep_comp_1 ~~
.anxdep_comp_2 0.304 0.006 47.285 0.000 0.304 0.593
.anxdep_comp_3 0.272 0.006 42.010 0.000 0.272 0.517
.anxdep_comp_4 0.233 0.006 37.014 0.000 0.233 0.455
.anxdep_comp_5 0.226 0.007 34.193 0.000 0.226 0.431
.anxdep_comp_6 0.197 0.007 26.435 0.000 0.197 0.395
.anxdep_comp_2 ~~
.anxdep_comp_3 0.316 0.007 48.056 0.000 0.316 0.617
.anxdep_comp_4 0.270 0.006 42.728 0.000 0.270 0.541
.anxdep_comp_5 0.251 0.007 38.463 0.000 0.251 0.491
.anxdep_comp_6 0.221 0.007 30.453 0.000 0.221 0.454
.anxdep_comp_3 ~~
.anxdep_comp_4 0.305 0.007 45.673 0.000 0.305 0.598
.anxdep_comp_5 0.286 0.007 41.353 0.000 0.286 0.547
.anxdep_comp_6 0.245 0.007 33.030 0.000 0.245 0.492
.anxdep_comp_4 ~~
.anxdep_comp_5 0.334 0.007 46.934 0.000 0.334 0.656
.anxdep_comp_6 0.272 0.008 36.153 0.000 0.272 0.561
.anxdep_comp_5 ~~
.anxdep_comp_6 0.311 0.008 39.018 0.000 0.311 0.625
.withdep_comp_0 ~~
.withdep_comp_1 0.234 0.005 44.810 0.000 0.234 0.560
.withdep_comp_2 0.196 0.005 36.636 0.000 0.196 0.425
.withdep_comp_3 0.161 0.006 27.223 0.000 0.161 0.307
.withdep_comp_4 0.125 0.007 19.082 0.000 0.125 0.218
.withdep_comp_5 0.105 0.007 14.648 0.000 0.105 0.173
.withdep_comp_6 0.083 0.008 10.117 0.000 0.083 0.143
.withdep_comp_1 ~~
.withdep_comp_2 0.256 0.006 44.490 0.000 0.256 0.535
.withdep_comp_3 0.234 0.006 37.002 0.000 0.234 0.432
.withdep_comp_4 0.199 0.007 28.661 0.000 0.199 0.335
.withdep_comp_5 0.180 0.008 23.971 0.000 0.180 0.289
.withdep_comp_6 0.145 0.008 17.175 0.000 0.145 0.242
.withdep_comp_2 ~~
.withdep_comp_3 0.336 0.007 45.564 0.000 0.336 0.560
.withdep_comp_4 0.309 0.008 38.474 0.000 0.309 0.470
.withdep_comp_5 0.286 0.009 33.129 0.000 0.286 0.414
.withdep_comp_6 0.240 0.010 24.422 0.000 0.240 0.362
.withdep_comp_3 ~~
.withdep_comp_4 0.440 0.010 45.790 0.000 0.440 0.591
.withdep_comp_5 0.426 0.010 41.547 0.000 0.426 0.544
.withdep_comp_6 0.356 0.011 31.934 0.000 0.356 0.473
.withdep_comp_4 ~~
.withdep_comp_5 0.560 0.012 47.284 0.000 0.560 0.653
.withdep_comp_6 0.475 0.013 37.684 0.000 0.475 0.575
.withdep_comp_5 ~~
.withdep_comp_6 0.571 0.014 41.356 0.000 0.571 0.658
.soma_comp_0 ~~
.soma_comp_1 0.354 0.008 45.802 0.000 0.354 0.509
.soma_comp_2 0.299 0.007 40.696 0.000 0.299 0.449
.soma_comp_3 0.265 0.007 36.069 0.000 0.265 0.398
.soma_comp_4 0.252 0.008 31.875 0.000 0.252 0.355
.soma_comp_5 0.249 0.009 27.826 0.000 0.249 0.320
.soma_comp_6 0.244 0.011 22.761 0.000 0.244 0.311
.soma_comp_1 ~~
.soma_comp_2 0.334 0.008 44.189 0.000 0.334 0.500
.soma_comp_3 0.291 0.008 38.562 0.000 0.291 0.433
.soma_comp_4 0.276 0.008 34.320 0.000 0.276 0.387
.soma_comp_5 0.280 0.009 30.750 0.000 0.280 0.358
.soma_comp_6 0.256 0.011 23.487 0.000 0.256 0.324
.soma_comp_2 ~~
.soma_comp_3 0.324 0.007 43.594 0.000 0.324 0.504
.soma_comp_4 0.303 0.008 38.284 0.000 0.303 0.443
.soma_comp_5 0.297 0.009 33.844 0.000 0.297 0.397
.soma_comp_6 0.273 0.010 26.457 0.000 0.273 0.361
.soma_comp_3 ~~
.soma_comp_4 0.339 0.008 41.258 0.000 0.339 0.494
.soma_comp_5 0.327 0.009 35.987 0.000 0.327 0.436
.soma_comp_6 0.313 0.011 29.651 0.000 0.313 0.412
.soma_comp_4 ~~
.soma_comp_5 0.442 0.010 43.358 0.000 0.442 0.553
.soma_comp_6 0.413 0.012 34.625 0.000 0.413 0.511
.soma_comp_5 ~~
.soma_comp_6 0.525 0.013 39.222 0.000 0.525 0.594
.socprob_comp_0 ~~
.socprob_comp_1 0.195 0.005 36.436 0.000 0.195 0.482
.socprob_comp_2 0.159 0.005 31.926 0.000 0.159 0.416
.socprob_comp_3 0.125 0.005 26.261 0.000 0.125 0.342
.socprob_comp_4 0.102 0.005 21.686 0.000 0.102 0.286
.socprob_comp_5 0.091 0.005 18.955 0.000 0.091 0.257
.socprob_comp_6 0.075 0.005 13.960 0.000 0.075 0.229
.socprob_comp_1 ~~
.socprob_comp_2 0.176 0.005 35.457 0.000 0.176 0.478
.socprob_comp_3 0.141 0.005 29.674 0.000 0.141 0.399
.socprob_comp_4 0.112 0.005 24.240 0.000 0.112 0.326
.socprob_comp_5 0.098 0.005 20.781 0.000 0.098 0.286
.socprob_comp_6 0.091 0.005 17.173 0.000 0.091 0.287
.socprob_comp_2 ~~
.socprob_comp_3 0.159 0.005 34.002 0.000 0.159 0.477
.socprob_comp_4 0.136 0.005 29.883 0.000 0.136 0.418
.socprob_comp_5 0.114 0.005 24.817 0.000 0.114 0.354
.socprob_comp_6 0.103 0.005 20.562 0.000 0.103 0.345
.socprob_comp_3 ~~
.socprob_comp_4 0.145 0.005 31.959 0.000 0.145 0.463
.socprob_comp_5 0.130 0.005 28.151 0.000 0.130 0.421
.socprob_comp_6 0.113 0.005 22.613 0.000 0.113 0.393
.socprob_comp_4 ~~
.socprob_comp_5 0.156 0.005 33.096 0.000 0.156 0.517
.socprob_comp_6 0.134 0.005 26.125 0.000 0.134 0.478
.socprob_comp_5 ~~
.socprob_comp_6 0.152 0.005 28.743 0.000 0.152 0.550
.thouprob_comp_0 ~~
.thouprob_cmp_1 0.201 0.005 37.843 0.000 0.201 0.483
.thouprob_cmp_2 0.160 0.005 32.407 0.000 0.160 0.411
.thouprob_cmp_3 0.135 0.005 28.109 0.000 0.135 0.359
.thouprob_cmp_4 0.118 0.005 24.668 0.000 0.118 0.323
.thouprob_cmp_5 0.114 0.005 21.914 0.000 0.114 0.290
.thouprob_cmp_6 0.085 0.006 14.716 0.000 0.085 0.242
.thouprob_comp_1 ~~
.thouprob_cmp_2 0.189 0.005 36.650 0.000 0.189 0.480
.thouprob_cmp_3 0.156 0.005 31.096 0.000 0.156 0.408
.thouprob_cmp_4 0.135 0.005 27.396 0.000 0.135 0.365
.thouprob_cmp_5 0.142 0.005 26.581 0.000 0.142 0.357
.thouprob_cmp_6 0.102 0.006 17.617 0.000 0.102 0.289
.thouprob_comp_2 ~~
.thouprob_cmp_3 0.161 0.005 33.225 0.000 0.161 0.451
.thouprob_cmp_4 0.134 0.005 28.410 0.000 0.134 0.386
.thouprob_cmp_5 0.134 0.005 26.133 0.000 0.134 0.358
.thouprob_cmp_6 0.094 0.006 16.880 0.000 0.094 0.282
.thouprob_comp_3 ~~
.thouprob_cmp_4 0.141 0.005 29.933 0.000 0.141 0.421
.thouprob_cmp_5 0.133 0.005 26.133 0.000 0.133 0.369
.thouprob_cmp_6 0.093 0.005 17.223 0.000 0.093 0.291
.thouprob_comp_4 ~~
.thouprob_cmp_5 0.173 0.005 33.278 0.000 0.173 0.495
.thouprob_cmp_6 0.127 0.005 23.212 0.000 0.127 0.409
.thouprob_comp_5 ~~
.thouprob_cmp_6 0.169 0.006 27.786 0.000 0.169 0.502
.attprob_comp_0 ~~
.attprob_comp_1 0.305 0.006 51.929 0.000 0.305 0.675
.attprob_comp_2 0.271 0.006 48.395 0.000 0.271 0.617
.attprob_comp_3 0.250 0.006 45.285 0.000 0.250 0.574
.attprob_comp_4 0.219 0.005 41.244 0.000 0.219 0.525
.attprob_comp_5 0.219 0.006 39.607 0.000 0.219 0.513
.attprob_comp_6 0.193 0.006 31.595 0.000 0.193 0.469
.attprob_comp_1 ~~
.attprob_comp_2 0.292 0.006 50.999 0.000 0.292 0.672
.attprob_comp_3 0.267 0.006 47.515 0.000 0.267 0.618
.attprob_comp_4 0.228 0.005 42.636 0.000 0.228 0.552
.attprob_comp_5 0.230 0.006 41.501 0.000 0.230 0.544
.attprob_comp_6 0.204 0.006 33.480 0.000 0.204 0.501
.attprob_comp_2 ~~
.attprob_comp_3 0.279 0.006 49.768 0.000 0.279 0.666
.attprob_comp_4 0.240 0.005 45.141 0.000 0.240 0.597
.attprob_comp_5 0.242 0.006 43.914 0.000 0.242 0.590
.attprob_comp_6 0.212 0.006 35.595 0.000 0.212 0.537
.attprob_comp_3 ~~
.attprob_comp_4 0.259 0.005 47.452 0.000 0.259 0.649
.attprob_comp_5 0.252 0.006 45.075 0.000 0.252 0.619
.attprob_comp_6 0.220 0.006 36.907 0.000 0.220 0.561
.attprob_comp_4 ~~
.attprob_comp_5 0.266 0.006 47.476 0.000 0.266 0.684
.attprob_comp_6 0.234 0.006 39.331 0.000 0.234 0.623
.attprob_comp_5 ~~
.attprob_comp_6 0.265 0.006 41.958 0.000 0.265 0.689
.rulebreak_comp_0 ~~
.rulebrek_cmp_1 0.293 0.006 50.111 0.000 0.293 0.610
.rulebrek_cmp_2 0.257 0.006 44.087 0.000 0.257 0.525
.rulebrek_cmp_3 0.240 0.006 39.750 0.000 0.240 0.477
.rulebrek_cmp_4 0.241 0.007 34.689 0.000 0.241 0.415
.rulebrek_cmp_5 0.268 0.008 32.492 0.000 0.268 0.394
.rulebrek_cmp_6 0.225 0.010 23.109 0.000 0.225 0.323
.rulebreak_comp_1 ~~
.rulebrek_cmp_2 0.282 0.006 47.029 0.000 0.282 0.576
.rulebrek_cmp_3 0.268 0.006 43.226 0.000 0.268 0.532
.rulebrek_cmp_4 0.279 0.007 39.151 0.000 0.279 0.479
.rulebrek_cmp_5 0.279 0.008 33.567 0.000 0.279 0.410
.rulebrek_cmp_6 0.252 0.010 25.379 0.000 0.252 0.361
.rulebreak_comp_2 ~~
.rulebrek_cmp_3 0.305 0.007 46.534 0.000 0.305 0.596
.rulebrek_cmp_4 0.301 0.007 40.704 0.000 0.301 0.507
.rulebrek_cmp_5 0.338 0.009 38.788 0.000 0.338 0.487
.rulebrek_cmp_6 0.315 0.010 30.573 0.000 0.315 0.443
.rulebreak_comp_3 ~~
.rulebrek_cmp_4 0.347 0.008 43.971 0.000 0.347 0.569
.rulebrek_cmp_5 0.367 0.009 39.738 0.000 0.367 0.515
.rulebrek_cmp_6 0.355 0.011 33.588 0.000 0.355 0.485
.rulebreak_comp_4 ~~
.rulebrek_cmp_5 0.534 0.011 47.472 0.000 0.534 0.646
.rulebrek_cmp_6 0.509 0.013 39.777 0.000 0.509 0.602
.rulebreak_comp_5 ~~
.rulebrek_cmp_6 0.711 0.015 45.883 0.000 0.711 0.718
.aggress_comp_0 ~~
.aggress_comp_1 0.300 0.006 49.888 0.000 0.300 0.658
.aggress_comp_2 0.270 0.006 46.645 0.000 0.270 0.606
.aggress_comp_3 0.233 0.006 41.277 0.000 0.233 0.532
.aggress_comp_4 0.205 0.005 38.610 0.000 0.205 0.502
.aggress_comp_5 0.198 0.005 36.394 0.000 0.198 0.484
.aggress_comp_6 0.160 0.006 27.946 0.000 0.160 0.430
.aggress_comp_1 ~~
.aggress_comp_2 0.278 0.006 48.273 0.000 0.278 0.644
.aggress_comp_3 0.247 0.006 43.988 0.000 0.247 0.582
.aggress_comp_4 0.210 0.005 40.083 0.000 0.210 0.531
.aggress_comp_5 0.197 0.005 36.902 0.000 0.197 0.497
.aggress_comp_6 0.162 0.006 28.473 0.000 0.162 0.448
.aggress_comp_2 ~~
.aggress_comp_3 0.270 0.006 47.284 0.000 0.270 0.649
.aggress_comp_4 0.221 0.005 42.063 0.000 0.221 0.571
.aggress_comp_5 0.214 0.005 40.073 0.000 0.214 0.554
.aggress_comp_6 0.182 0.006 32.421 0.000 0.182 0.515
.aggress_comp_3 ~~
.aggress_comp_4 0.242 0.005 44.817 0.000 0.242 0.635
.aggress_comp_5 0.224 0.005 41.212 0.000 0.224 0.588
.aggress_comp_6 0.192 0.006 34.287 0.000 0.192 0.551
.aggress_comp_4 ~~
.aggress_comp_5 0.237 0.005 44.595 0.000 0.237 0.669
.aggress_comp_6 0.197 0.005 36.296 0.000 0.197 0.610
.aggress_comp_5 ~~
.aggress_comp_6 0.222 0.006 38.839 0.000 0.222 0.684
.anxdep_comp_0 ~~
.withdep_comp_0 0.095 0.005 18.802 0.000 0.095 0.210
.soma_comp_0 0.111 0.006 17.855 0.000 0.111 0.187
.withdep_comp_1 0.079 0.005 15.406 0.000 0.079 0.168
.soma_comp_1 0.075 0.006 12.100 0.000 0.075 0.126
.withdep_comp_2 0.080 0.006 14.251 0.000 0.080 0.154
.soma_comp_2 0.070 0.006 11.565 0.000 0.070 0.122
.withdep_comp_3 0.093 0.007 14.226 0.000 0.093 0.157
.soma_comp_3 0.071 0.006 11.474 0.000 0.071 0.124
.withdep_comp_4 0.077 0.007 10.542 0.000 0.077 0.120
.soma_comp_4 0.079 0.007 11.769 0.000 0.079 0.130
.withdep_comp_5 0.073 0.008 9.083 0.000 0.073 0.108
.soma_comp_5 0.059 0.008 7.724 0.000 0.059 0.089
.withdep_comp_6 0.063 0.009 6.789 0.000 0.063 0.096
.soma_comp_6 0.064 0.009 6.841 0.000 0.064 0.096
.withdep_comp_0 ~~
.anxdep_comp_1 0.064 0.005 12.523 0.000 0.064 0.138
.soma_comp_0 ~~
.anxdep_comp_1 0.091 0.006 14.368 0.000 0.091 0.150
.anxdep_comp_1 ~~
.withdep_comp_1 0.099 0.005 18.531 0.000 0.099 0.207
.soma_comp_1 0.105 0.006 16.175 0.000 0.105 0.172
.withdep_comp_2 0.085 0.006 14.793 0.000 0.085 0.162
.soma_comp_2 0.076 0.006 12.324 0.000 0.076 0.131
.withdep_comp_3 0.107 0.007 15.977 0.000 0.107 0.178
.soma_comp_3 0.073 0.006 11.490 0.000 0.073 0.124
.withdep_comp_4 0.092 0.007 12.325 0.000 0.092 0.141
.soma_comp_4 0.085 0.007 12.308 0.000 0.085 0.137
.withdep_comp_5 0.107 0.008 13.031 0.000 0.107 0.156
.soma_comp_5 0.082 0.008 10.440 0.000 0.082 0.120
.withdep_comp_6 0.087 0.009 9.180 0.000 0.087 0.131
.soma_comp_6 0.070 0.010 7.266 0.000 0.070 0.102
.withdep_comp_0 ~~
.anxdep_comp_2 0.071 0.005 14.089 0.000 0.071 0.157
.soma_comp_0 ~~
.anxdep_comp_2 0.089 0.006 14.257 0.000 0.089 0.151
.withdep_comp_1 ~~
.anxdep_comp_2 0.088 0.005 16.963 0.000 0.088 0.189
.soma_comp_1 ~~
.anxdep_comp_2 0.079 0.006 12.564 0.000 0.079 0.134
.anxdep_comp_2 ~~
.withdep_comp_2 0.139 0.006 23.814 0.000 0.139 0.270
.soma_comp_2 0.108 0.006 17.668 0.000 0.108 0.192
.withdep_comp_3 0.130 0.007 19.751 0.000 0.130 0.222
.soma_comp_3 0.090 0.006 14.527 0.000 0.090 0.159
.withdep_comp_4 0.113 0.007 15.365 0.000 0.113 0.176
.soma_comp_4 0.101 0.007 15.069 0.000 0.101 0.168
.withdep_comp_5 0.103 0.008 12.893 0.000 0.103 0.153
.soma_comp_5 0.086 0.008 11.287 0.000 0.086 0.129
.withdep_comp_6 0.081 0.009 8.961 0.000 0.081 0.126
.soma_comp_6 0.079 0.009 8.490 0.000 0.079 0.118
.withdep_comp_0 ~~
.anxdep_comp_3 0.057 0.005 11.005 0.000 0.057 0.124
.soma_comp_0 ~~
.anxdep_comp_3 0.095 0.006 14.738 0.000 0.095 0.158
.withdep_comp_1 ~~
.anxdep_comp_3 0.074 0.005 13.901 0.000 0.074 0.155
.soma_comp_1 ~~
.anxdep_comp_3 0.085 0.007 13.001 0.000 0.085 0.140
.withdep_comp_2 ~~
.anxdep_comp_3 0.111 0.006 18.729 0.000 0.111 0.210
.soma_comp_2 ~~
.anxdep_comp_3 0.094 0.006 15.007 0.000 0.094 0.163
.anxdep_comp_3 ~~
.withdep_comp_3 0.183 0.007 26.242 0.000 0.183 0.307
.soma_comp_3 0.124 0.007 19.103 0.000 0.124 0.213
.withdep_comp_4 0.143 0.008 18.797 0.000 0.143 0.219
.soma_comp_4 0.131 0.007 18.662 0.000 0.131 0.212
.withdep_comp_5 0.143 0.008 17.074 0.000 0.143 0.207
.soma_comp_5 0.123 0.008 15.481 0.000 0.123 0.182
.withdep_comp_6 0.108 0.009 11.740 0.000 0.108 0.163
.soma_comp_6 0.131 0.009 13.836 0.000 0.131 0.191
.withdep_comp_0 ~~
.anxdep_comp_4 0.039 0.005 7.517 0.000 0.039 0.087
.soma_comp_0 ~~
.anxdep_comp_4 0.077 0.006 12.043 0.000 0.077 0.132
.withdep_comp_1 ~~
.anxdep_comp_4 0.058 0.005 10.939 0.000 0.058 0.125
.soma_comp_1 ~~
.anxdep_comp_4 0.074 0.006 11.404 0.000 0.074 0.125
.withdep_comp_2 ~~
.anxdep_comp_4 0.086 0.006 14.803 0.000 0.086 0.169
.soma_comp_2 ~~
.anxdep_comp_4 0.079 0.006 12.627 0.000 0.079 0.140
.withdep_comp_3 ~~
.anxdep_comp_4 0.131 0.007 19.324 0.000 0.131 0.225
.soma_comp_3 ~~
.anxdep_comp_4 0.097 0.006 15.136 0.000 0.097 0.171
.anxdep_comp_4 ~~
.withdep_comp_4 0.202 0.008 25.971 0.000 0.202 0.318
.soma_comp_4 0.149 0.007 21.327 0.000 0.149 0.248
.withdep_comp_5 0.166 0.008 20.015 0.000 0.166 0.249
.soma_comp_5 0.138 0.008 17.607 0.000 0.138 0.210
.withdep_comp_6 0.130 0.009 14.144 0.000 0.130 0.202
.soma_comp_6 0.140 0.009 14.809 0.000 0.140 0.210
.withdep_comp_0 ~~
.anxdep_comp_5 0.034 0.005 6.169 0.000 0.034 0.074
.soma_comp_0 ~~
.anxdep_comp_5 0.068 0.007 9.991 0.000 0.068 0.114
.withdep_comp_1 ~~
.anxdep_comp_5 0.057 0.006 10.176 0.000 0.057 0.120
.soma_comp_1 ~~
.anxdep_comp_5 0.077 0.007 11.124 0.000 0.077 0.127
.withdep_comp_2 ~~
.anxdep_comp_5 0.092 0.006 14.780 0.000 0.092 0.174
.soma_comp_2 ~~
.anxdep_comp_5 0.084 0.007 12.743 0.000 0.084 0.146
.withdep_comp_3 ~~
.anxdep_comp_5 0.139 0.007 19.440 0.000 0.139 0.234
.soma_comp_3 ~~
.anxdep_comp_5 0.093 0.007 13.711 0.000 0.093 0.160
.withdep_comp_4 ~~
.anxdep_comp_5 0.175 0.008 21.818 0.000 0.175 0.269
.soma_comp_4 ~~
.anxdep_comp_5 0.143 0.007 19.393 0.000 0.143 0.232
.anxdep_comp_5 ~~
.withdep_comp_5 0.245 0.009 27.420 0.000 0.245 0.357
.soma_comp_5 0.178 0.008 21.542 0.000 0.178 0.263
.withdep_comp_6 0.158 0.010 16.511 0.000 0.158 0.239
.soma_comp_6 0.155 0.010 15.806 0.000 0.155 0.226
.withdep_comp_0 ~~
.anxdep_comp_6 0.040 0.006 6.345 0.000 0.040 0.092
.soma_comp_0 ~~
.anxdep_comp_6 0.063 0.008 8.093 0.000 0.063 0.110
.withdep_comp_1 ~~
.anxdep_comp_6 0.059 0.006 9.260 0.000 0.059 0.131
.soma_comp_1 ~~
.anxdep_comp_6 0.067 0.008 8.424 0.000 0.067 0.116
.withdep_comp_2 ~~
.anxdep_comp_6 0.089 0.007 12.146 0.000 0.089 0.178
.soma_comp_2 ~~
.anxdep_comp_6 0.084 0.007 11.291 0.000 0.084 0.153
.withdep_comp_3 ~~
.anxdep_comp_6 0.130 0.008 16.025 0.000 0.130 0.230
.soma_comp_3 ~~
.anxdep_comp_6 0.075 0.008 9.991 0.000 0.075 0.136
.withdep_comp_4 ~~
.anxdep_comp_6 0.157 0.009 17.420 0.000 0.157 0.252
.soma_comp_4 ~~
.anxdep_comp_6 0.112 0.008 13.412 0.000 0.112 0.191
.withdep_comp_5 ~~
.anxdep_comp_6 0.187 0.010 19.290 0.000 0.187 0.287
.soma_comp_5 ~~
.anxdep_comp_6 0.121 0.009 13.255 0.000 0.121 0.188
.anxdep_comp_6 ~~
.withdep_comp_6 0.225 0.010 22.250 0.000 0.225 0.358
.soma_comp_6 0.168 0.010 16.988 0.000 0.168 0.258
.withdep_comp_0 ~~
.soma_comp_0 0.044 0.005 8.046 0.000 0.044 0.083
.soma_comp_1 0.045 0.006 8.013 0.000 0.045 0.084
.soma_comp_2 0.031 0.005 5.709 0.000 0.031 0.061
.soma_comp_3 0.021 0.006 3.679 0.000 0.021 0.040
.soma_comp_4 0.011 0.006 1.850 0.064 0.011 0.021
.soma_comp_5 -0.018 0.007 -2.560 0.010 -0.018 -0.030
.soma_comp_6 -0.016 0.009 -1.892 0.059 -0.016 -0.027
.soma_comp_0 ~~
.withdep_comp_1 0.029 0.006 5.088 0.000 0.029 0.052
.withdep_comp_1 ~~
.soma_comp_1 0.058 0.006 10.086 0.000 0.058 0.106
.soma_comp_2 0.043 0.006 7.660 0.000 0.043 0.081
.soma_comp_3 0.044 0.006 7.691 0.000 0.044 0.083
.soma_comp_4 0.030 0.006 4.882 0.000 0.030 0.054
.soma_comp_5 0.025 0.007 3.561 0.000 0.025 0.041
.soma_comp_6 0.010 0.009 1.138 0.255 0.010 0.016
.soma_comp_0 ~~
.withdep_comp_2 0.042 0.006 6.696 0.000 0.042 0.069
.soma_comp_1 ~~
.withdep_comp_2 0.057 0.006 9.026 0.000 0.057 0.094
.withdep_comp_2 ~~
.soma_comp_2 0.072 0.006 11.830 0.000 0.072 0.124
.soma_comp_3 0.054 0.006 8.652 0.000 0.054 0.093
.soma_comp_4 0.070 0.007 10.258 0.000 0.070 0.113
.soma_comp_5 0.062 0.008 8.059 0.000 0.062 0.092
.soma_comp_6 0.047 0.010 4.790 0.000 0.047 0.068
.soma_comp_0 ~~
.withdep_comp_3 0.058 0.007 8.005 0.000 0.058 0.085
.soma_comp_1 ~~
.withdep_comp_3 0.052 0.007 7.087 0.000 0.052 0.075
.soma_comp_2 ~~
.withdep_comp_3 0.058 0.007 8.289 0.000 0.058 0.088
.withdep_comp_3 ~~
.soma_comp_3 0.080 0.007 11.228 0.000 0.080 0.122
.soma_comp_4 0.107 0.008 13.583 0.000 0.107 0.152
.soma_comp_5 0.119 0.009 13.419 0.000 0.119 0.155
.soma_comp_6 0.122 0.011 11.288 0.000 0.122 0.156
.soma_comp_0 ~~
.withdep_comp_4 0.050 0.008 6.038 0.000 0.050 0.066
.soma_comp_1 ~~
.withdep_comp_4 0.062 0.008 7.507 0.000 0.062 0.082
.soma_comp_2 ~~
.withdep_comp_4 0.057 0.008 7.185 0.000 0.057 0.079
.soma_comp_3 ~~
.withdep_comp_4 0.080 0.008 9.842 0.000 0.080 0.110
.withdep_comp_4 ~~
.soma_comp_4 0.147 0.009 16.697 0.000 0.147 0.190
.soma_comp_5 0.143 0.010 14.488 0.000 0.143 0.169
.soma_comp_6 0.163 0.012 13.644 0.000 0.163 0.190
.soma_comp_0 ~~
.withdep_comp_5 0.042 0.009 4.618 0.000 0.042 0.053
.soma_comp_1 ~~
.withdep_comp_5 0.056 0.009 6.124 0.000 0.056 0.070
.soma_comp_2 ~~
.withdep_comp_5 0.051 0.009 5.921 0.000 0.051 0.068
.soma_comp_3 ~~
.withdep_comp_5 0.073 0.009 8.237 0.000 0.073 0.096
.soma_comp_4 ~~
.withdep_comp_5 0.136 0.010 14.196 0.000 0.136 0.168
.withdep_comp_5 ~~
.soma_comp_5 0.209 0.011 19.556 0.000 0.209 0.235
.soma_comp_6 0.196 0.013 15.301 0.000 0.196 0.218
.soma_comp_0 ~~
.withdep_comp_6 0.050 0.010 4.900 0.000 0.050 0.066
.soma_comp_1 ~~
.withdep_comp_6 0.038 0.010 3.686 0.000 0.038 0.050
.soma_comp_2 ~~
.withdep_comp_6 0.040 0.010 4.047 0.000 0.040 0.054
.soma_comp_3 ~~
.withdep_comp_6 0.050 0.010 5.118 0.000 0.050 0.069
.soma_comp_4 ~~
.withdep_comp_6 0.095 0.011 8.724 0.000 0.095 0.121
.soma_comp_5 ~~
.withdep_comp_6 0.137 0.012 11.516 0.000 0.137 0.160
.withdep_comp_6 ~~
.soma_comp_6 0.207 0.013 16.058 0.000 0.207 0.239
.rulebreak_comp_0 ~~
.aggress_comp_0 0.222 0.006 38.877 0.000 0.222 0.468
.aggress_comp_1 0.173 0.005 32.312 0.000 0.173 0.376
.aggress_comp_2 0.162 0.005 30.784 0.000 0.162 0.361
.aggress_comp_3 0.140 0.005 26.455 0.000 0.140 0.315
.aggress_comp_4 0.131 0.005 25.982 0.000 0.131 0.319
.aggress_comp_5 0.134 0.005 25.775 0.000 0.134 0.325
.aggress_comp_6 0.112 0.006 19.751 0.000 0.112 0.297
.aggress_comp_0 ~~
.rulebrek_cmp_1 0.182 0.005 33.079 0.000 0.182 0.382
.rulebreak_comp_1 ~~
.aggress_comp_1 0.216 0.006 38.072 0.000 0.216 0.469
.aggress_comp_2 0.170 0.005 31.908 0.000 0.170 0.378
.aggress_comp_3 0.152 0.005 28.476 0.000 0.152 0.343
.aggress_comp_4 0.144 0.005 28.119 0.000 0.144 0.349
.aggress_comp_5 0.135 0.005 25.841 0.000 0.135 0.327
.aggress_comp_6 0.123 0.006 21.330 0.000 0.123 0.327
.aggress_comp_0 ~~
.rulebrek_cmp_2 0.161 0.006 28.960 0.000 0.161 0.333
.aggress_comp_1 ~~
.rulebrek_cmp_2 0.165 0.005 29.999 0.000 0.165 0.351
.rulebreak_comp_2 ~~
.aggress_comp_2 0.223 0.006 38.633 0.000 0.223 0.486
.aggress_comp_3 0.169 0.006 30.316 0.000 0.169 0.373
.aggress_comp_4 0.143 0.005 27.194 0.000 0.143 0.340
.aggress_comp_5 0.144 0.005 26.778 0.000 0.144 0.341
.aggress_comp_6 0.140 0.006 23.623 0.000 0.140 0.364
.aggress_comp_0 ~~
.rulebrek_cmp_3 0.161 0.006 27.758 0.000 0.161 0.324
.aggress_comp_1 ~~
.rulebrek_cmp_3 0.164 0.006 28.728 0.000 0.164 0.340
.aggress_comp_2 ~~
.rulebrek_cmp_3 0.180 0.006 31.497 0.000 0.180 0.382
.rulebreak_comp_3 ~~
.aggress_comp_3 0.231 0.006 38.062 0.000 0.231 0.498
.aggress_comp_4 0.165 0.005 30.162 0.000 0.165 0.383
.aggress_comp_5 0.156 0.006 27.794 0.000 0.156 0.360
.aggress_comp_6 0.153 0.006 25.536 0.000 0.153 0.387
.aggress_comp_0 ~~
.rulebrek_cmp_4 0.183 0.007 26.956 0.000 0.183 0.318
.aggress_comp_1 ~~
.rulebrek_cmp_4 0.189 0.007 28.390 0.000 0.189 0.339
.aggress_comp_2 ~~
.rulebrek_cmp_4 0.188 0.007 28.660 0.000 0.188 0.345
.aggress_comp_3 ~~
.rulebrek_cmp_4 0.204 0.007 30.294 0.000 0.204 0.380
.rulebreak_comp_4 ~~
.aggress_comp_4 0.249 0.007 37.270 0.000 0.249 0.498
.aggress_comp_5 0.207 0.007 31.198 0.000 0.207 0.413
.aggress_comp_6 0.173 0.007 24.540 0.000 0.173 0.378
.aggress_comp_0 ~~
.rulebrek_cmp_5 0.214 0.008 26.261 0.000 0.214 0.317
.aggress_comp_1 ~~
.rulebrek_cmp_5 0.201 0.008 25.340 0.000 0.201 0.308
.aggress_comp_2 ~~
.rulebrek_cmp_5 0.227 0.008 28.730 0.000 0.227 0.355
.aggress_comp_3 ~~
.rulebrek_cmp_5 0.225 0.008 28.140 0.000 0.225 0.358
.aggress_comp_4 ~~
.rulebrek_cmp_5 0.232 0.008 30.516 0.000 0.232 0.397
.rulebreak_comp_5 ~~
.aggress_comp_5 0.310 0.008 37.932 0.000 0.310 0.528
.aggress_comp_6 0.236 0.008 28.439 0.000 0.236 0.442
.aggress_comp_0 ~~
.rulebrek_cmp_6 0.195 0.010 20.309 0.000 0.195 0.283
.aggress_comp_1 ~~
.rulebrek_cmp_6 0.178 0.009 18.787 0.000 0.178 0.266
.aggress_comp_2 ~~
.rulebrek_cmp_6 0.212 0.009 22.853 0.000 0.212 0.324
.aggress_comp_3 ~~
.rulebrek_cmp_6 0.220 0.009 23.827 0.000 0.220 0.341
.aggress_comp_4 ~~
.rulebrek_cmp_6 0.223 0.009 25.316 0.000 0.223 0.373
.aggress_comp_5 ~~
.rulebrek_cmp_6 0.248 0.009 27.190 0.000 0.248 0.414
.rulebreak_comp_6 ~~
.aggress_comp_6 0.272 0.009 29.159 0.000 0.272 0.497
.p_i ~~
.p_s -0.031 0.006 -5.441 0.000 -0.227 -0.227
.p_q 0.001 0.002 0.356 0.722 0.013 0.013
.p_s ~~
.p_q -0.023 0.003 -8.656 0.000 -0.856 -0.856
.flanker_0 ~~
.flanker_2 0.137 0.007 18.700 0.000 0.137 0.243
.flanker_4 0.098 0.007 13.030 0.000 0.098 0.179
.flanker_6 0.086 0.009 9.274 0.000 0.086 0.161
.flanker_2 ~~
.flanker_4 0.144 0.007 19.861 0.000 0.144 0.320
.flanker_6 0.101 0.008 12.511 0.000 0.101 0.230
.flanker_4 ~~
.flanker_6 0.152 0.009 16.820 0.000 0.152 0.357
.pattern_0 ~~
.pattern_2 0.075 0.005 13.682 0.000 0.075 0.219
.pattern_4 0.041 0.006 6.885 0.000 0.041 0.112
.pattern_6 0.033 0.007 4.694 0.000 0.033 0.094
.pattern_2 ~~
.pattern_4 0.106 0.007 15.466 0.000 0.106 0.291
.pattern_6 0.074 0.008 9.898 0.000 0.074 0.210
.pattern_4 ~~
.pattern_6 0.126 0.009 14.167 0.000 0.126 0.335
.picture_0 ~~
.picture_2 0.252 0.007 33.916 0.000 0.252 0.365
.picture_4 0.258 0.009 28.172 0.000 0.258 0.311
.picture_6 0.283 0.012 23.634 0.000 0.283 0.344
.picture_2 ~~
.picture_4 0.287 0.010 28.167 0.000 0.287 0.326
.picture_6 0.268 0.013 19.962 0.000 0.268 0.307
.picture_4 ~~
.picture_6 0.391 0.016 24.787 0.000 0.391 0.375
.picvocab_0 ~~
.picvocab_2 0.399 0.007 53.363 0.000 0.399 0.677
.picvocab_4 0.403 0.008 50.844 0.000 0.403 0.649
.picvocab_6 0.382 0.009 43.424 0.000 0.382 0.627
.picvocab_2 ~~
.picvocab_4 0.475 0.009 54.239 0.000 0.475 0.728
.picvocab_6 0.462 0.010 47.613 0.000 0.462 0.722
.picvocab_4 ~~
.picvocab_6 0.511 0.011 48.545 0.000 0.511 0.757
.reading_0 ~~
.reading_2 0.405 0.007 55.036 0.000 0.405 0.722
.reading_4 0.409 0.008 50.916 0.000 0.409 0.662
.reading_6 0.418 0.010 43.677 0.000 0.418 0.657
.reading_2 ~~
.reading_4 0.418 0.008 51.451 0.000 0.418 0.693
.reading_6 0.435 0.010 45.409 0.000 0.435 0.699
.reading_4 ~~
.reading_6 0.459 0.011 43.045 0.000 0.459 0.670
.picvocab_0 ~~
.reading_0 0.234 0.006 36.072 0.000 0.234 0.412
.reading_2 0.247 0.007 37.793 0.000 0.247 0.446
.reading_4 0.266 0.007 36.401 0.000 0.266 0.436
.reading_6 0.285 0.009 32.287 0.000 0.285 0.453
.picvocab_2 ~~
.reading_2 0.290 0.007 40.613 0.000 0.290 0.499
.reading_0 ~~
.picvocab_2 0.268 0.007 38.429 0.000 0.268 0.451
.picvocab_2 ~~
.reading_4 0.316 0.008 39.738 0.000 0.316 0.493
.reading_6 0.341 0.010 35.620 0.000 0.341 0.517
.picvocab_4 ~~
.reading_4 0.340 0.009 39.112 0.000 0.340 0.503
.reading_0 ~~
.picvocab_4 0.277 0.008 36.904 0.000 0.277 0.441
.reading_2 ~~
.picvocab_4 0.302 0.008 39.578 0.000 0.302 0.493
.picvocab_4 ~~
.reading_6 0.370 0.010 35.790 0.000 0.370 0.531
.picvocab_6 ~~
.reading_6 0.364 0.011 32.416 0.000 0.364 0.532
.reading_0 ~~
.picvocab_6 0.258 0.009 30.034 0.000 0.258 0.418
.reading_2 ~~
.picvocab_6 0.286 0.009 33.227 0.000 0.286 0.475
.reading_4 ~~
.picvocab_6 0.325 0.010 33.553 0.000 0.325 0.490
g_i ~~
g_s 0.004 0.001 3.512 0.000 0.204 0.204
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) -0.011 0.004 -2.608 0.009 -0.011 -0.011
.asr___0 (t_AW) -0.003 0.005 -0.543 0.587 -0.003 -0.003
.asr___0 (t_AS) -0.006 0.005 -1.193 0.233 -0.006 -0.006
.asr___0 (t_AP) -0.005 0.005 -1.102 0.270 -0.005 -0.005
.asr___0 (t_AH) -0.005 0.005 -1.088 0.276 -0.005 -0.005
.asr___0 (t_AA) 0.002 0.005 0.369 0.712 0.002 0.002
.asr___0 (t_AR) -0.004 0.005 -0.859 0.391 -0.004 -0.004
.asr___0 (t_AG) -0.003 0.007 -0.472 0.637 -0.003 -0.003
.asr___2 (t_AX) -0.011 0.004 -2.608 0.009 -0.011 -0.011
.asr___2 (t_AW) -0.003 0.005 -0.543 0.587 -0.003 -0.003
.asr___2 (t_AS) -0.006 0.005 -1.193 0.233 -0.006 -0.006
.asr___2 (t_AP) -0.005 0.005 -1.102 0.270 -0.005 -0.005
.asr___2 (t_AH) -0.005 0.005 -1.088 0.276 -0.005 -0.005
.asr___2 (t_AA) 0.002 0.005 0.369 0.712 0.002 0.002
.asr___2 (t_AR) -0.004 0.005 -0.859 0.391 -0.004 -0.004
.asr___2 (t_AG) -0.003 0.007 -0.472 0.637 -0.003 -0.003
.asr___4 (t_AX) -0.011 0.004 -2.608 0.009 -0.011 -0.011
.asr___4 (t_AW) -0.003 0.005 -0.543 0.587 -0.003 -0.003
.asr___4 (t_AS) -0.006 0.005 -1.193 0.233 -0.006 -0.007
.asr___4 (t_AP) -0.005 0.005 -1.102 0.270 -0.005 -0.005
.asr___4 (t_AH) -0.005 0.005 -1.088 0.276 -0.005 -0.005
.asr___4 (t_AA) 0.002 0.005 0.369 0.712 0.002 0.002
.asr___4 (t_AR) -0.004 0.005 -0.859 0.391 -0.004 -0.004
.asr___4 (t_AG) -0.003 0.007 -0.472 0.637 -0.003 -0.003
a_i 0.031 0.008 4.045 0.000 0.040 0.040
a_s -0.024 0.004 -6.475 0.000 -0.094 -0.094
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.anxd__0 (t_CX) -0.013 0.005 -2.624 0.009 -0.013 -0.013
.anxd__1 (t_CX) -0.013 0.005 -2.624 0.009 -0.013 -0.013
.anxd__2 (t_CX) -0.013 0.005 -2.624 0.009 -0.013 -0.013
.anxd__3 (t_CX) -0.013 0.005 -2.624 0.009 -0.013 -0.013
.anxd__4 (t_CX) -0.013 0.005 -2.624 0.009 -0.013 -0.013
.anxd__5 (t_CX) -0.013 0.005 -2.624 0.009 -0.013 -0.013
.anxd__6 (t_CX) -0.013 0.005 -2.624 0.009 -0.013 -0.014
.wthd__0 (t_CW) -0.079 0.005 -15.587 0.000 -0.079 -0.087
.wthd__1 (t_CW) -0.079 0.005 -15.587 0.000 -0.079 -0.086
.wthd__2 (t_CW) -0.079 0.005 -15.587 0.000 -0.079 -0.082
.wthd__3 (t_CW) -0.079 0.005 -15.587 0.000 -0.079 -0.076
.wthd__4 (t_CW) -0.079 0.005 -15.587 0.000 -0.079 -0.072
.wthd__5 (t_CW) -0.079 0.005 -15.587 0.000 -0.079 -0.070
.wthd__6 (t_CW) -0.079 0.005 -15.587 0.000 -0.079 -0.073
.sm_cm_0 (t_CS) -0.016 0.006 -2.739 0.006 -0.016 -0.016
.sm_cm_1 (t_CS) -0.016 0.006 -2.739 0.006 -0.016 -0.016
.sm_cm_2 (t_CS) -0.016 0.006 -2.739 0.006 -0.016 -0.017
.sm_cm_3 (t_CS) -0.016 0.006 -2.739 0.006 -0.016 -0.017
.sm_cm_4 (t_CS) -0.016 0.006 -2.739 0.006 -0.016 -0.016
.sm_cm_5 (t_CS) -0.016 0.006 -2.739 0.006 -0.016 -0.015
.sm_cm_6 (t_CS) -0.016 0.006 -2.739 0.006 -0.016 -0.015
.scpr__0 (t_CP) 0.027 0.004 6.854 0.000 0.027 0.026
.scpr__1 (t_CP) 0.027 0.004 6.854 0.000 0.027 0.027
.scpr__2 (t_CP) 0.027 0.004 6.854 0.000 0.027 0.027
.scpr__3 (t_CP) 0.027 0.004 6.854 0.000 0.027 0.028
.scpr__4 (t_CP) 0.027 0.004 6.854 0.000 0.027 0.028
.scpr__5 (t_CP) 0.027 0.004 6.854 0.000 0.027 0.029
.scpr__6 (t_CP) 0.027 0.004 6.854 0.000 0.027 0.030
.thpr__0 (t_CH) 0.029 0.004 7.137 0.000 0.029 0.028
.thpr__1 (t_CH) 0.029 0.004 7.137 0.000 0.029 0.028
.thpr__2 (t_CH) 0.029 0.004 7.137 0.000 0.029 0.028
.thpr__3 (t_CH) 0.029 0.004 7.137 0.000 0.029 0.029
.thpr__4 (t_CH) 0.029 0.004 7.137 0.000 0.029 0.030
.thpr__5 (t_CH) 0.029 0.004 7.137 0.000 0.029 0.029
.thpr__6 (t_CH) 0.029 0.004 7.137 0.000 0.029 0.031
.attp__0 (t_CA) 0.032 0.005 6.836 0.000 0.032 0.032
.attp__1 (t_CA) 0.032 0.005 6.836 0.000 0.032 0.032
.attp__2 (t_CA) 0.032 0.005 6.836 0.000 0.032 0.033
.attp__3 (t_CA) 0.032 0.005 6.836 0.000 0.032 0.033
.attp__4 (t_CA) 0.032 0.005 6.836 0.000 0.032 0.034
.attp__5 (t_CA) 0.032 0.005 6.836 0.000 0.032 0.034
.attp__6 (t_CA) 0.032 0.005 6.836 0.000 0.032 0.036
.rlbr__0 (t_CR) -0.019 0.005 -3.859 0.000 -0.019 -0.020
.rlbr__1 (t_CR) -0.019 0.005 -3.859 0.000 -0.019 -0.020
.rlbr__2 (t_CR) -0.019 0.005 -3.859 0.000 -0.019 -0.020
.rlbr__3 (t_CR) -0.019 0.005 -3.859 0.000 -0.019 -0.020
.rlbr__4 (t_CR) -0.019 0.005 -3.859 0.000 -0.019 -0.018
.rlbr__5 (t_CR) -0.019 0.005 -3.859 0.000 -0.019 -0.016
.rlbr__6 (t_CR) -0.019 0.005 -3.859 0.000 -0.019 -0.016
.aggr__0 (t_CG) -0.002 0.004 -0.459 0.646 -0.002 -0.002
.aggr__1 (t_CG) -0.002 0.004 -0.459 0.646 -0.002 -0.002
.aggr__2 (t_CG) -0.002 0.004 -0.459 0.646 -0.002 -0.002
.aggr__3 (t_CG) -0.002 0.004 -0.459 0.646 -0.002 -0.002
.aggr__4 (t_CG) -0.002 0.004 -0.459 0.646 -0.002 -0.002
.aggr__5 (t_CG) -0.002 0.004 -0.459 0.646 -0.002 -0.002
.aggr__6 (t_CG) -0.002 0.004 -0.459 0.646 -0.002 -0.002
.p_i -0.147 0.013 -10.993 0.000 -0.214 -0.214
.p_s 0.432 0.215 2.010 0.044 1.012 1.012
.p_q -0.129 0.071 -1.814 0.070 -1.049 -1.049
.p_etaB 0.000 0.000 0.000
.p_eta1 0.000 0.000 0.000
.p_eta2 0.000 0.000 0.000
.p_eta3 0.000 0.000 0.000
.p_eta4 0.000 0.000 0.000
.p_eta5 0.000 0.000 0.000
.p_eta6 0.000 0.000 0.000
.flnkr_0 (ta_S) 0.106 0.005 21.497 0.000 0.106 0.115
.flnkr_2 (ta_S) 0.106 0.005 21.497 0.000 0.106 0.133
.flnkr_4 (ta_S) 0.106 0.005 21.497 0.000 0.106 0.133
.flnkr_6 (ta_S) 0.106 0.005 21.497 0.000 0.106 0.130
.pttrn_0 (ta_R) 0.123 0.005 26.875 0.000 0.123 0.162
.pttrn_2 (ta_R) 0.123 0.005 26.875 0.000 0.123 0.160
.pttrn_4 (ta_R) 0.123 0.005 26.875 0.000 0.123 0.150
.pttrn_6 (ta_R) 0.123 0.005 26.875 0.000 0.123 0.144
.pictr_0 (ta_M) 0.056 0.006 8.746 0.000 0.056 0.066
.pictr_2 (ta_M) 0.056 0.006 8.746 0.000 0.056 0.063
.pictr_4 (ta_M) 0.056 0.006 8.746 0.000 0.056 0.053
.pictr_6 (ta_M) 0.056 0.006 8.746 0.000 0.056 0.053
.pcvcb_0 (ta_P) 0.053 0.005 10.138 0.000 0.053 0.064
.pcvcb_2 (ta_P) 0.053 0.005 10.138 0.000 0.053 0.061
.pcvcb_4 (ta_P) 0.053 0.005 10.138 0.000 0.053 0.058
.pcvcb_6 (ta_P) 0.053 0.005 10.138 0.000 0.053 0.057
.redng_0 (ta_V) 0.064 0.005 12.634 0.000 0.064 0.075
.redng_2 (ta_V) 0.064 0.005 12.634 0.000 0.064 0.076
.redng_4 (ta_V) 0.064 0.005 12.634 0.000 0.064 0.070
.redng_6 (ta_V) 0.064 0.005 12.634 0.000 0.064 0.066
g_i -0.660 0.006 -101.934 0.000 -1.698 -1.698
g_s 0.473 0.004 128.255 0.000 9.010 9.010
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.101 0.006 16.624 0.000 0.142 0.142
.a_eta2 0.182 0.005 39.319 0.000 0.262 0.262
.a_eta4 0.102 0.007 14.192 0.000 0.159 0.159
.asr_nxdp_cmp_0 0.311 0.006 53.388 0.000 0.311 0.305
.asr_wthdp_cm_0 0.486 0.008 63.083 0.000 0.486 0.463
.asr_soma_cmp_0 0.551 0.008 66.546 0.000 0.551 0.549
.asr_thprb_cm_0 0.471 0.007 65.271 0.000 0.471 0.435
.asr_ttprb_cm_0 0.408 0.006 64.397 0.000 0.408 0.411
.asr_rlbrk_cm_0 0.660 0.009 69.905 0.000 0.660 0.606
.asr_ggrss_cm_0 0.448 0.007 64.475 0.000 0.448 0.427
.asr_intr_cmp_0 0.898 0.012 74.901 0.000 0.898 0.841
.asr_nxdp_cmp_2 0.339 0.006 53.433 0.000 0.339 0.329
.asr_wthdp_cm_2 0.481 0.008 61.119 0.000 0.481 0.467
.asr_soma_cmp_2 0.560 0.009 64.620 0.000 0.560 0.559
.asr_thprb_cm_2 0.412 0.007 61.782 0.000 0.412 0.408
.asr_ttprb_cm_2 0.383 0.006 61.200 0.000 0.383 0.402
.asr_rlbrk_cm_2 0.603 0.009 66.770 0.000 0.603 0.590
.asr_ggrss_cm_2 0.435 0.007 62.272 0.000 0.435 0.426
.asr_intr_cmp_2 0.821 0.011 72.050 0.000 0.821 0.832
.asr_nxdp_cmp_4 0.352 0.007 50.810 0.000 0.352 0.354
.asr_wthdp_cm_4 0.461 0.008 57.271 0.000 0.461 0.475
.asr_soma_cmp_4 0.554 0.009 60.444 0.000 0.554 0.575
.asr_thprb_cm_4 0.384 0.007 57.235 0.000 0.384 0.410
.asr_ttprb_cm_4 0.420 0.007 58.579 0.000 0.420 0.443
.asr_rlbrk_cm_4 0.561 0.009 62.020 0.000 0.561 0.591
.asr_ggrss_cm_4 0.417 0.007 58.230 0.000 0.417 0.434
.asr_intr_cmp_4 0.806 0.012 67.776 0.000 0.806 0.840
a_i 0.608 0.012 49.263 0.000 1.000 1.000
a_s 0.063 0.003 20.105 0.000 1.000 1.000
.p_etaB 0.079 0.004 20.383 0.000 0.145 0.145
.p_eta1 0.123 0.003 42.614 0.000 0.228 0.228
.p_eta2 0.120 0.003 42.364 0.000 0.227 0.227
.p_eta3 0.112 0.003 39.362 0.000 0.216 0.216
.p_eta4 0.105 0.003 38.326 0.000 0.210 0.210
.p_eta5 0.111 0.003 35.558 0.000 0.224 0.224
.p_eta6 0.040 0.005 8.837 0.000 0.090 0.090
.anxdep_comp_0 0.509 0.008 66.978 0.000 0.509 0.482
.withdep_comp_0 0.405 0.006 65.354 0.000 0.405 0.498
.soma_comp_0 0.690 0.009 72.711 0.000 0.690 0.698
.socprob_comp_0 0.419 0.007 61.198 0.000 0.419 0.379
.thouprob_cmp_0 0.410 0.007 63.024 0.000 0.410 0.380
.attprob_comp_0 0.457 0.007 66.022 0.000 0.457 0.457
.rulebrek_cmp_0 0.480 0.007 69.179 0.000 0.480 0.543
.aggress_comp_0 0.470 0.007 64.460 0.000 0.470 0.430
.anxdep_comp_1 0.527 0.008 65.779 0.000 0.527 0.494
.withdep_comp_1 0.432 0.007 66.246 0.000 0.432 0.517
.soma_comp_1 0.699 0.010 71.035 0.000 0.699 0.703
.socprob_comp_1 0.389 0.007 59.426 0.000 0.389 0.365
.thouprob_cmp_1 0.420 0.007 61.660 0.000 0.420 0.389
.attprob_comp_1 0.449 0.007 64.632 0.000 0.449 0.456
.rulebrek_cmp_1 0.481 0.007 67.225 0.000 0.481 0.548
.aggress_comp_1 0.441 0.007 62.975 0.000 0.441 0.418
.anxdep_comp_2 0.499 0.008 65.120 0.000 0.499 0.486
.withdep_comp_2 0.529 0.008 67.206 0.000 0.529 0.573
.soma_comp_2 0.639 0.009 69.736 0.000 0.639 0.689
.socprob_comp_2 0.349 0.006 58.025 0.000 0.349 0.345
.thouprob_cmp_2 0.371 0.006 59.599 0.000 0.371 0.365
.attprob_comp_2 0.422 0.007 63.737 0.000 0.422 0.446
.rulebrek_cmp_2 0.499 0.008 66.263 0.000 0.499 0.562
.aggress_comp_2 0.422 0.007 61.966 0.000 0.422 0.412
.anxdep_comp_3 0.526 0.008 63.739 0.000 0.526 0.504
.withdep_comp_3 0.679 0.010 65.540 0.000 0.679 0.637
.soma_comp_3 0.645 0.010 67.697 0.000 0.645 0.695
.socprob_comp_3 0.320 0.006 55.681 0.000 0.320 0.330
.thouprob_cmp_3 0.345 0.006 57.037 0.000 0.345 0.354
.attprob_comp_3 0.417 0.007 62.129 0.000 0.417 0.448
.rulebrek_cmp_3 0.527 0.008 63.729 0.000 0.527 0.580
.aggress_comp_3 0.410 0.007 59.923 0.000 0.410 0.410
.anxdep_comp_4 0.496 0.008 61.566 0.000 0.496 0.498
.withdep_comp_4 0.816 0.013 63.093 0.000 0.816 0.686
.soma_comp_4 0.731 0.011 65.739 0.000 0.731 0.728
.socprob_comp_4 0.305 0.006 53.853 0.000 0.305 0.327
.thouprob_cmp_4 0.325 0.006 54.764 0.000 0.325 0.348
.attprob_comp_4 0.381 0.006 59.798 0.000 0.381 0.435
.rulebrek_cmp_4 0.705 0.011 63.069 0.000 0.705 0.657
.aggress_comp_4 0.354 0.006 57.403 0.000 0.354 0.384
.anxdep_comp_5 0.522 0.009 58.799 0.000 0.522 0.513
.withdep_comp_5 0.900 0.015 60.321 0.000 0.900 0.709
.soma_comp_5 0.874 0.014 62.722 0.000 0.874 0.764
.socprob_comp_5 0.299 0.006 50.493 0.000 0.299 0.325
.thouprob_cmp_5 0.376 0.007 53.500 0.000 0.376 0.384
.attprob_comp_5 0.397 0.007 57.780 0.000 0.397 0.447
.rulebrek_cmp_5 0.966 0.016 61.566 0.000 0.966 0.726
.aggress_comp_5 0.356 0.006 54.924 0.000 0.356 0.387
.anxdep_comp_6 0.473 0.010 46.997 0.000 0.473 0.515
.withdep_comp_6 0.836 0.017 48.445 0.000 0.836 0.715
.soma_comp_6 0.895 0.018 50.100 0.000 0.895 0.786
.socprob_comp_6 0.256 0.007 38.953 0.000 0.256 0.315
.thouprob_cmp_6 0.299 0.007 40.542 0.000 0.299 0.355
.attprob_comp_6 0.371 0.008 46.734 0.000 0.371 0.456
.rulebrek_cmp_6 1.013 0.020 49.971 0.000 1.013 0.755
.aggress_comp_6 0.295 0.007 43.018 0.000 0.295 0.368
.p_i 0.232 0.007 35.308 0.000 0.496 0.496
.p_s 0.078 0.009 8.605 0.000 0.428 0.428
.p_q 0.009 0.001 11.031 0.000 0.622 0.622
.g_etaB 0.012 0.002 5.317 0.000 0.073 0.073
.g_eta2 0.008 0.002 5.196 0.000 0.048 0.048
.g_eta4 0.017 0.002 8.227 0.000 0.088 0.088
.g_eta6 0.045 0.004 11.346 0.000 0.183 0.183
.flanker_0 0.683 0.010 68.062 0.000 0.683 0.807
.flanker_2 0.465 0.009 54.435 0.000 0.465 0.732
.flanker_4 0.435 0.009 49.517 0.000 0.435 0.689
.flanker_6 0.416 0.011 38.690 0.000 0.416 0.629
.pattern_0 0.339 0.006 52.775 0.000 0.339 0.584
.pattern_2 0.341 0.008 45.373 0.000 0.341 0.575
.pattern_4 0.386 0.009 42.961 0.000 0.386 0.571
.pattern_6 0.367 0.011 33.024 0.000 0.367 0.502
.picture_0 0.653 0.009 73.385 0.000 0.653 0.918
.picture_2 0.733 0.011 69.170 0.000 0.733 0.923
.picture_4 1.055 0.016 66.199 0.000 1.055 0.938
.picture_6 1.035 0.022 47.849 0.000 1.035 0.922
.picvocab_0 0.561 0.008 69.074 0.000 0.561 0.800
.picvocab_2 0.619 0.009 66.319 0.000 0.619 0.808
.picvocab_4 0.688 0.011 63.182 0.000 0.688 0.803
.picvocab_6 0.663 0.013 49.360 0.000 0.663 0.758
.reading_0 0.574 0.008 68.379 0.000 0.574 0.785
.reading_2 0.548 0.008 64.979 0.000 0.548 0.770
.reading_4 0.665 0.011 62.114 0.000 0.665 0.779
.reading_6 0.705 0.015 47.963 0.000 0.705 0.749
g_i 0.151 0.004 36.173 0.000 1.000 1.000
g_s 0.003 0.001 4.335 0.000 1.000 1.000
R-Square:
Estimate
a_etaB 0.858
a_eta2 0.738
a_eta4 0.841
asr_nxdp_cmp_0 0.695
asr_wthdp_cm_0 0.537
asr_soma_cmp_0 0.451
asr_thprb_cm_0 0.565
asr_ttprb_cm_0 0.589
asr_rlbrk_cm_0 0.394
asr_ggrss_cm_0 0.573
asr_intr_cmp_0 0.159
asr_nxdp_cmp_2 0.671
asr_wthdp_cm_2 0.533
asr_soma_cmp_2 0.441
asr_thprb_cm_2 0.592
asr_ttprb_cm_2 0.598
asr_rlbrk_cm_2 0.410
asr_ggrss_cm_2 0.574
asr_intr_cmp_2 0.168
asr_nxdp_cmp_4 0.646
asr_wthdp_cm_4 0.525
asr_soma_cmp_4 0.425
asr_thprb_cm_4 0.590
asr_ttprb_cm_4 0.557
asr_rlbrk_cm_4 0.409
asr_ggrss_cm_4 0.566
asr_intr_cmp_4 0.160
p_etaB 0.855
p_eta1 0.772
p_eta2 0.773
p_eta3 0.784
p_eta4 0.790
p_eta5 0.776
p_eta6 0.910
anxdep_comp_0 0.518
withdep_comp_0 0.502
soma_comp_0 0.302
socprob_comp_0 0.621
thouprob_cmp_0 0.620
attprob_comp_0 0.543
rulebrek_cmp_0 0.457
aggress_comp_0 0.570
anxdep_comp_1 0.506
withdep_comp_1 0.483
soma_comp_1 0.297
socprob_comp_1 0.635
thouprob_cmp_1 0.611
attprob_comp_1 0.544
rulebrek_cmp_1 0.452
aggress_comp_1 0.582
anxdep_comp_2 0.514
withdep_comp_2 0.427
soma_comp_2 0.311
socprob_comp_2 0.655
thouprob_cmp_2 0.635
attprob_comp_2 0.554
rulebrek_cmp_2 0.438
aggress_comp_2 0.588
anxdep_comp_3 0.496
withdep_comp_3 0.363
soma_comp_3 0.305
socprob_comp_3 0.670
thouprob_cmp_3 0.646
attprob_comp_3 0.552
rulebrek_cmp_3 0.420
aggress_comp_3 0.590
anxdep_comp_4 0.502
withdep_comp_4 0.314
soma_comp_4 0.272
socprob_comp_4 0.673
thouprob_cmp_4 0.652
attprob_comp_4 0.565
rulebrek_cmp_4 0.343
aggress_comp_4 0.616
anxdep_comp_5 0.487
withdep_comp_5 0.291
soma_comp_5 0.236
socprob_comp_5 0.675
thouprob_cmp_5 0.616
attprob_comp_5 0.553
rulebrek_cmp_5 0.274
aggress_comp_5 0.613
anxdep_comp_6 0.485
withdep_comp_6 0.285
soma_comp_6 0.214
socprob_comp_6 0.685
thouprob_cmp_6 0.645
attprob_comp_6 0.544
rulebrek_cmp_6 0.245
aggress_comp_6 0.632
p_i 0.504
p_s 0.572
p_q 0.378
g_etaB 0.927
g_eta2 0.952
g_eta4 0.912
g_eta6 0.817
flanker_0 0.193
flanker_2 0.268
flanker_4 0.311
flanker_6 0.371
pattern_0 0.416
pattern_2 0.425
pattern_4 0.429
pattern_6 0.498
picture_0 0.082
picture_2 0.077
picture_4 0.062
picture_6 0.078
picvocab_0 0.200
picvocab_2 0.192
picvocab_4 0.197
picvocab_6 0.242
reading_0 0.215
reading_2 0.230
reading_4 0.221
reading_6 0.251
pc ~ pp + g model with sex
Children’s psychopathology (pc) was regressed on parental psychopathology (pp) and children’s cognitive functioning (g), with sex as a covariate.
model fit
# Add sex as covariate
pga6.sex.model <- pga6.model %>%
str_replace_all(
c(
"_i ~ 1" = "_i ~ 1 + dummy_sex",
"_s ~ 1" = "_s ~ 1 + dummy_sex",
"_q ~ 1" = "_q ~ 1 + dummy_sex",
"_i~1" = "_i~1 + dummy_sex",
"_s~1" = "_s~1 + dummy_sex",
"_q~1" = "_q~1 + dummy_sex"
)
)
writeLines(pga6.sex.model)# second-order pp factor
#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#observed variable intercepts
asr_anxdep_comp_0~tau_AX*1
asr_withdep_comp_0~tau_AW*1
asr_soma_comp_0~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_attprob_comp_0~tau_AH*1
asr_rulebreak_comp_0~tau_AA*1
asr_aggress_comp_0~tau_AR*1
asr_intru_comp_0~tau_AG*1
asr_anxdep_comp_2~tau_AX*1
asr_withdep_comp_2~tau_AW*1
asr_soma_comp_2~tau_AS*1
asr_thouprob_comp_2~tau_AP*1
asr_attprob_comp_2~tau_AH*1
asr_rulebreak_comp_2~tau_AA*1
asr_aggress_comp_2~tau_AR*1
asr_intru_comp_2~tau_AG*1
asr_anxdep_comp_4~tau_AX*1
asr_withdep_comp_4~tau_AW*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_4~tau_AP*1
asr_attprob_comp_4~tau_AH*1
asr_rulebreak_comp_4~tau_AA*1
asr_aggress_comp_4~tau_AR*1
asr_intru_comp_4~tau_AG*1
#latent basis model
a_i =~ 1*a_etaB+1*a_eta2+1*a_eta4
a_s =~ 0*a_etaB+1*a_eta2+2*a_eta4
a_i~~NA*a_i
a_s~~NA*a_s
a_i~~a_s
a_i~1 + dummy_sex
a_s~1 + dummy_sex
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
# second-order pc factor
#factor loadings (with constraints)
p_etaB =~ 1*anxdep_comp_0+
lambda_CW*withdep_comp_0+
lambda_CS*soma_comp_0+
lambda_CC*socprob_comp_0+
lambda_CH*thouprob_comp_0+
lambda_CA*attprob_comp_0+
lambda_CR*rulebreak_comp_0+
lambda_CG*aggress_comp_0
p_eta1 =~ 1*anxdep_comp_1+
lambda_CW*withdep_comp_1+
lambda_CS*soma_comp_1+
lambda_CC*socprob_comp_1+
lambda_CH*thouprob_comp_1+
lambda_CA*attprob_comp_1+
lambda_CR*rulebreak_comp_1+
lambda_CG*aggress_comp_1
p_eta2 =~ 1*anxdep_comp_2+
lambda_CW*withdep_comp_2+
lambda_CS*soma_comp_2+
lambda_CC*socprob_comp_2+
lambda_CH*thouprob_comp_2+
lambda_CA*attprob_comp_2+
lambda_CR*rulebreak_comp_2+
lambda_CG*aggress_comp_2
p_eta3 =~ 1*anxdep_comp_3+
lambda_CW*withdep_comp_3+
lambda_CS*soma_comp_3+
lambda_CC*socprob_comp_3+
lambda_CH*thouprob_comp_3+
lambda_CA*attprob_comp_3+
lambda_CR*rulebreak_comp_3+
lambda_CG*aggress_comp_3
p_eta4 =~ 1*anxdep_comp_4+
lambda_CW*withdep_comp_4+
lambda_CS*soma_comp_4+
lambda_CC*socprob_comp_4+
lambda_CH*thouprob_comp_4+
lambda_CA*attprob_comp_4+
lambda_CR*rulebreak_comp_4+
lambda_CG*aggress_comp_4
p_eta5 =~ 1*anxdep_comp_5+
lambda_CW*withdep_comp_5+
lambda_CS*soma_comp_5+
lambda_CC*socprob_comp_5+
lambda_CH*thouprob_comp_5+
lambda_CA*attprob_comp_5+
lambda_CR*rulebreak_comp_5+
lambda_CG*aggress_comp_5
p_eta6 =~ 1*anxdep_comp_6+
lambda_CW*withdep_comp_6+
lambda_CS*soma_comp_6+
lambda_CC*socprob_comp_6+
lambda_CH*thouprob_comp_6+
lambda_CA*attprob_comp_6+
lambda_CR*rulebreak_comp_6+
lambda_CG*aggress_comp_6
#latent variable variances
p_etaB~~NA*p_etaB
p_eta1~~NA*p_eta1
p_eta2~~NA*p_eta2
p_eta3~~NA*p_eta3
p_eta4~~NA*p_eta4
p_eta5~~NA*p_eta5
p_eta6~~NA*p_eta6
#unique variances # No need to constrict these
anxdep_comp_0~~anxdep_comp_0
withdep_comp_0~~withdep_comp_0
soma_comp_0~~soma_comp_0
socprob_comp_0~~socprob_comp_0
thouprob_comp_0~~thouprob_comp_0
attprob_comp_0~~attprob_comp_0
rulebreak_comp_0~~rulebreak_comp_0
aggress_comp_0~~aggress_comp_0
anxdep_comp_1~~anxdep_comp_1
withdep_comp_1~~withdep_comp_1
soma_comp_1~~soma_comp_1
socprob_comp_1~~socprob_comp_1
thouprob_comp_1~~thouprob_comp_1
attprob_comp_1~~attprob_comp_1
rulebreak_comp_1~~rulebreak_comp_1
aggress_comp_1~~aggress_comp_1
anxdep_comp_2~~anxdep_comp_2
withdep_comp_2~~withdep_comp_2
soma_comp_2~~soma_comp_2
socprob_comp_2~~socprob_comp_2
thouprob_comp_2~~thouprob_comp_2
attprob_comp_2~~attprob_comp_2
rulebreak_comp_2~~rulebreak_comp_2
aggress_comp_2~~aggress_comp_2
anxdep_comp_3~~anxdep_comp_3
withdep_comp_3~~withdep_comp_3
soma_comp_3~~soma_comp_3
socprob_comp_3~~socprob_comp_3
thouprob_comp_3~~thouprob_comp_3
attprob_comp_3~~attprob_comp_3
rulebreak_comp_3~~rulebreak_comp_3
aggress_comp_3~~aggress_comp_3
anxdep_comp_4~~anxdep_comp_4
withdep_comp_4~~withdep_comp_4
soma_comp_4~~soma_comp_4
socprob_comp_4~~socprob_comp_4
thouprob_comp_4~~thouprob_comp_4
attprob_comp_4~~attprob_comp_4
rulebreak_comp_4~~rulebreak_comp_4
aggress_comp_4~~aggress_comp_4
anxdep_comp_5~~anxdep_comp_5
withdep_comp_5~~withdep_comp_5
soma_comp_5~~soma_comp_5
socprob_comp_5~~socprob_comp_5
thouprob_comp_5~~thouprob_comp_5
attprob_comp_5~~attprob_comp_5
rulebreak_comp_5~~rulebreak_comp_5
aggress_comp_5~~aggress_comp_5
anxdep_comp_6~~anxdep_comp_6
withdep_comp_6~~withdep_comp_6
soma_comp_6~~soma_comp_6
socprob_comp_6~~socprob_comp_6
thouprob_comp_6~~thouprob_comp_6
attprob_comp_6~~attprob_comp_6
rulebreak_comp_6~~rulebreak_comp_6
aggress_comp_6~~aggress_comp_6
#unique covariances
# Scores arcoss times
anxdep_comp_0~~anxdep_comp_1 + anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_1~~anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_2~~anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_3~~anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_4~~anxdep_comp_5+ anxdep_comp_6
anxdep_comp_5~~anxdep_comp_6
withdep_comp_0~~withdep_comp_1 + withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_1~~withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_2~~withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_3~~withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_4~~withdep_comp_5 + withdep_comp_6
withdep_comp_5~~withdep_comp_6
soma_comp_0~~soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_1~~soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_2~~soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_3~~soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_4~~soma_comp_5 + soma_comp_6
soma_comp_5~~soma_comp_6
socprob_comp_0~~socprob_comp_1 + socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_1~~socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_2~~socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_3~~socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_4~~socprob_comp_5 + socprob_comp_6
socprob_comp_5~~socprob_comp_6
thouprob_comp_0~~thouprob_comp_1 + thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_1~~thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_2~~thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_3~~thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_4~~thouprob_comp_5 + thouprob_comp_6
thouprob_comp_5~~thouprob_comp_6
attprob_comp_0~~attprob_comp_1 + attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_1~~attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_2~~attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_3~~attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_4~~attprob_comp_5 + attprob_comp_6
attprob_comp_5~~attprob_comp_6
rulebreak_comp_0~~rulebreak_comp_1 + rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_1~~rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_2~~rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_3~~rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_4~~rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_5~~rulebreak_comp_6
aggress_comp_0~~aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_1~~aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_2~~aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_3~~aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_4~~aggress_comp_5 + aggress_comp_6
aggress_comp_5~~aggress_comp_6
# Internalizeing subscale covariances
anxdep_comp_0~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_1~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_2~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_3~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_4~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_5~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_6~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
withdep_comp_0~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_1~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_2~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_3~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_4~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_5~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_6~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
# Externalizeing subscale covariances
rulebreak_comp_0~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_1~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_2~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_3~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_4~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_5~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_6~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
#observed variable intercepts
anxdep_comp_0~tau_CX*1
anxdep_comp_1~tau_CX*1
anxdep_comp_2~tau_CX*1
anxdep_comp_3~tau_CX*1
anxdep_comp_4~tau_CX*1
anxdep_comp_5~tau_CX*1
anxdep_comp_6~tau_CX*1
withdep_comp_0~tau_CW*1
withdep_comp_1~tau_CW*1
withdep_comp_2~tau_CW*1
withdep_comp_3~tau_CW*1
withdep_comp_4~tau_CW*1
withdep_comp_5~tau_CW*1
withdep_comp_6~tau_CW*1
soma_comp_0~tau_CS*1
soma_comp_1~tau_CS*1
soma_comp_2~tau_CS*1
soma_comp_3~tau_CS*1
soma_comp_4~tau_CS*1
soma_comp_5~tau_CS*1
soma_comp_6~tau_CS*1
socprob_comp_0~tau_CP*1
socprob_comp_1~tau_CP*1
socprob_comp_2~tau_CP*1
socprob_comp_3~tau_CP*1
socprob_comp_4~tau_CP*1
socprob_comp_5~tau_CP*1
socprob_comp_6~tau_CP*1
thouprob_comp_0~tau_CH*1
thouprob_comp_1~tau_CH*1
thouprob_comp_2~tau_CH*1
thouprob_comp_3~tau_CH*1
thouprob_comp_4~tau_CH*1
thouprob_comp_5~tau_CH*1
thouprob_comp_6~tau_CH*1
attprob_comp_0~tau_CA*1
attprob_comp_1~tau_CA*1
attprob_comp_2~tau_CA*1
attprob_comp_3~tau_CA*1
attprob_comp_4~tau_CA*1
attprob_comp_5~tau_CA*1
attprob_comp_6~tau_CA*1
rulebreak_comp_0~tau_CR*1
rulebreak_comp_1~tau_CR*1
rulebreak_comp_2~tau_CR*1
rulebreak_comp_3~tau_CR*1
rulebreak_comp_4~tau_CR*1
rulebreak_comp_5~tau_CR*1
rulebreak_comp_6~tau_CR*1
aggress_comp_0~tau_CG*1
aggress_comp_1~tau_CG*1
aggress_comp_2~tau_CG*1
aggress_comp_3~tau_CG*1
aggress_comp_4~tau_CG*1
aggress_comp_5~tau_CG*1
aggress_comp_6~tau_CG*1
#latent basis model
p_i =~ 1*p_etaB + 1*p_eta1 + 1*p_eta2 + 1*p_eta3 + 1*p_eta4 + 1*p_eta5 + 1*p_eta6
p_s =~ 0*p_etaB + .5*p_eta1 + 1*p_eta2 + 1.5*p_eta3 + 2*p_eta4 + 2.5*p_eta5 + 3*p_eta6
p_q =~ 0*p_etaB + .25*p_eta1 + 1*p_eta2 + 2.25*p_eta3 + 4*p_eta4 + 6.25*p_eta5 + 9*p_eta6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1 + dummy_sex
p_s~1 + dummy_sex
p_q~1 + dummy_sex
p_etaB ~ 0*1
p_eta1 ~ 0*1
p_eta2 ~ 0*1
p_eta3 ~ 0*1
p_eta4 ~ 0*1
p_eta5 ~ 0*1
p_eta6 ~ 0*1
# second-order g factor
#factor loadings # S & S2
g_etaB =~ 1*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ 1*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ 1*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ 1*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances
g_etaB~~NA*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1
#latent basis model
g_i =~ 1*g_etaB + 1*g_eta2 + 1*g_eta4 + 1*g_eta6
g_s =~ 0*g_etaB + 1*g_eta2 + 2*g_eta4 + 3*g_eta6
g_i~~NA*g_i
g_s~~NA*g_s
g_i~~g_s
g_i~1 + dummy_sex
g_s~1 + dummy_sex
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
# regression
p_i ~ g_i + a_i
p_s ~ g_i + g_s + a_i + a_s
p_q ~ g_i + g_s + a_i + a_s
lavaan(pga6.sex.model,
data = readRDS("pga6_all_data_sex.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = T,
std.lv = T
) %>%
saveRDS("pgcm_pga6_sex_model.rds")result
readRDS("pgcm_pga6_sex_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_pga6_sex_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_pga6_sex_model.rds"), "cor.lv"))$value [1] 7.918900050 4.668663431 3.222355222 1.366604893 0.954813435 0.753526138
[7] 0.372316021 0.228332683 0.226456905 0.217741874 0.212803435 0.187045977
[13] 0.157081344 0.138895611 0.119724081 0.079616476 0.059141301 0.053191185
[19] 0.039629404 0.016415055 0.006745481
readRDS("pgcm_pga6_sex_result.rds")lavaan 0.6-19 ended normally after 420 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 824
Number of equality constraints 147
Number of observations 11867
Number of missing patterns 714
Model Test User Model:
Test statistic 41616.231
Degrees of freedom 4573
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 798843.461
Degrees of freedom 5050
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.953
Tucker-Lewis Index (TLI) 0.948
Robust Comparative Fit Index (CFI) 0.952
Robust Tucker-Lewis Index (TLI) 0.947
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -962425.214
Loglikelihood unrestricted model (H1) -941617.098
Akaike (AIC) 1926204.427
Bayesian (BIC) 1931201.714
Sample-size adjusted Bayesian (SABIC) 1929050.286
Root Mean Square Error of Approximation:
RMSEA 0.026
90 Percent confidence interval - lower 0.026
90 Percent confidence interval - upper 0.026
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.030
90 Percent confidence interval - lower 0.030
90 Percent confidence interval - upper 0.030
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.056
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.842 0.834
asr___0 (l_AW) 0.891 0.007 126.544 0.000 0.750 0.733
asr___0 (l_AS) 0.799 0.007 112.101 0.000 0.673 0.672
asr___0 (l_AC) 0.930 0.007 125.442 0.000 0.783 0.752
asr___0 (l_AH) 0.907 0.007 131.147 0.000 0.764 0.767
asr___0 (l_AA) 0.779 0.008 98.170 0.000 0.656 0.628
asr___0 (l_AR) 0.921 0.007 125.138 0.000 0.776 0.757
asr___0 (l_AG) 0.489 0.008 59.990 0.000 0.412 0.399
a_eta2 =~
asr___2 1.000 0.832 0.819
asr___2 (l_AW) 0.891 0.007 126.544 0.000 0.741 0.730
asr___2 (l_AS) 0.799 0.007 112.101 0.000 0.665 0.664
asr___2 (l_AC) 0.930 0.007 125.442 0.000 0.773 0.769
asr___2 (l_AH) 0.907 0.007 131.147 0.000 0.755 0.773
asr___2 (l_AA) 0.779 0.008 98.170 0.000 0.648 0.640
asr___2 (l_AR) 0.921 0.007 125.138 0.000 0.766 0.758
asr___2 (l_AG) 0.489 0.008 59.990 0.000 0.407 0.409
a_eta4 =~
asr___4 1.000 0.801 0.803
asr___4 (l_AW) 0.891 0.007 126.544 0.000 0.714 0.725
asr___4 (l_AS) 0.799 0.007 112.101 0.000 0.640 0.652
asr___4 (l_AC) 0.930 0.007 125.442 0.000 0.744 0.768
asr___4 (l_AH) 0.907 0.007 131.147 0.000 0.726 0.746
asr___4 (l_AA) 0.779 0.008 98.170 0.000 0.623 0.640
asr___4 (l_AR) 0.921 0.007 125.138 0.000 0.737 0.752
asr___4 (l_AG) 0.489 0.008 59.990 0.000 0.391 0.400
a_i =~
a_etaB 1.000 0.926 0.926
a_eta2 1.000 0.937 0.937
a_eta4 1.000 0.974 0.974
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.301 0.301
a_eta4 2.000 0.626 0.626
p_etaB =~
anxd__0 1.000 0.741 0.719
wthd__0 (l_CW) 0.863 0.006 141.045 0.000 0.640 0.709
sm_cm_0 (l_CS) 0.739 0.007 110.901 0.000 0.548 0.550
scpr__0 (l_CC) 1.118 0.007 153.798 0.000 0.828 0.787
thpr__0 (l_CH) 1.104 0.007 152.355 0.000 0.818 0.788
attp__0 (l_CA) 0.995 0.007 142.725 0.000 0.737 0.738
rlbr__0 (l_CR) 0.858 0.007 120.400 0.000 0.636 0.677
aggr__0 (l_CG) 1.066 0.007 147.026 0.000 0.790 0.755
p_eta1 =~
anxd__1 1.000 0.736 0.711
wthd__1 (l_CW) 0.863 0.006 141.045 0.000 0.635 0.694
sm_cm_1 (l_CS) 0.739 0.007 110.901 0.000 0.544 0.545
scpr__1 (l_CC) 1.118 0.007 153.798 0.000 0.822 0.796
thpr__1 (l_CH) 1.104 0.007 152.355 0.000 0.812 0.782
attp__1 (l_CA) 0.995 0.007 142.725 0.000 0.732 0.739
rlbr__1 (l_CR) 0.858 0.007 120.400 0.000 0.631 0.673
aggr__1 (l_CG) 1.066 0.007 147.026 0.000 0.784 0.763
p_eta2 =~
anxd__2 1.000 0.727 0.717
wthd__2 (l_CW) 0.863 0.006 141.045 0.000 0.628 0.653
sm_cm_2 (l_CS) 0.739 0.007 110.901 0.000 0.537 0.557
scpr__2 (l_CC) 1.118 0.007 153.798 0.000 0.813 0.808
thpr__2 (l_CH) 1.104 0.007 152.355 0.000 0.803 0.797
attp__2 (l_CA) 0.995 0.007 142.725 0.000 0.724 0.745
rlbr__2 (l_CR) 0.858 0.007 120.400 0.000 0.624 0.662
aggr__2 (l_CG) 1.066 0.007 147.026 0.000 0.775 0.767
p_eta3 =~
anxd__3 1.000 0.720 0.704
wthd__3 (l_CW) 0.863 0.006 141.045 0.000 0.621 0.602
sm_cm_3 (l_CS) 0.739 0.007 110.901 0.000 0.532 0.552
scpr__3 (l_CC) 1.118 0.007 153.798 0.000 0.805 0.818
thpr__3 (l_CH) 1.104 0.007 152.355 0.000 0.795 0.804
attp__3 (l_CA) 0.995 0.007 142.725 0.000 0.716 0.743
rlbr__3 (l_CR) 0.858 0.007 120.400 0.000 0.617 0.648
aggr__3 (l_CG) 1.066 0.007 147.026 0.000 0.767 0.768
p_eta4 =~
anxd__4 1.000 0.708 0.709
wthd__4 (l_CW) 0.863 0.006 141.045 0.000 0.611 0.560
sm_cm_4 (l_CS) 0.739 0.007 110.901 0.000 0.523 0.522
scpr__4 (l_CC) 1.118 0.007 153.798 0.000 0.791 0.820
thpr__4 (l_CH) 1.104 0.007 152.355 0.000 0.781 0.808
attp__4 (l_CA) 0.995 0.007 142.725 0.000 0.704 0.752
rlbr__4 (l_CR) 0.858 0.007 120.400 0.000 0.607 0.586
aggr__4 (l_CG) 1.066 0.007 147.026 0.000 0.754 0.785
p_eta5 =~
anxd__5 1.000 0.705 0.699
wthd__5 (l_CW) 0.863 0.006 141.045 0.000 0.608 0.540
sm_cm_5 (l_CS) 0.739 0.007 110.901 0.000 0.521 0.487
scpr__5 (l_CC) 1.118 0.007 153.798 0.000 0.787 0.822
thpr__5 (l_CH) 1.104 0.007 152.355 0.000 0.778 0.785
attp__5 (l_CA) 0.995 0.007 142.725 0.000 0.701 0.743
rlbr__5 (l_CR) 0.858 0.007 120.400 0.000 0.604 0.524
aggr__5 (l_CG) 1.066 0.007 147.026 0.000 0.751 0.783
p_eta6 =~
anxd__6 1.000 0.670 0.699
wthd__6 (l_CW) 0.863 0.006 141.045 0.000 0.578 0.535
sm_cm_6 (l_CS) 0.739 0.007 110.901 0.000 0.495 0.464
scpr__6 (l_CC) 1.118 0.007 153.798 0.000 0.749 0.829
thpr__6 (l_CH) 1.104 0.007 152.355 0.000 0.740 0.804
attp__6 (l_CA) 0.995 0.007 142.725 0.000 0.666 0.737
rlbr__6 (l_CR) 0.858 0.007 120.400 0.000 0.574 0.495
aggr__6 (l_CG) 1.066 0.007 147.026 0.000 0.714 0.795
p_i =~
p_etaB 1.000 0.925 0.925
p_eta1 1.000 0.931 0.931
p_eta2 1.000 0.942 0.942
p_eta3 1.000 0.952 0.952
p_eta4 1.000 0.968 0.968
p_eta5 1.000 0.973 0.973
p_eta6 1.000 1.023 1.023
p_s =~
p_etaB 0.000 0.000 0.000
p_eta1 0.500 0.289 0.289
p_eta2 1.000 0.585 0.585
p_eta3 1.500 0.887 0.887
p_eta4 2.000 1.203 1.203
p_eta5 2.500 1.510 1.510
p_eta6 3.000 1.906 1.906
p_q =~
p_etaB 0.000 0.000 0.000
p_eta1 0.250 0.042 0.042
p_eta2 1.000 0.168 0.168
p_eta3 2.250 0.382 0.382
p_eta4 4.000 0.692 0.692
p_eta5 6.250 1.085 1.085
p_eta6 9.000 1.644 1.644
g_etaB =~
flnkr_0 1.000 0.403 0.438
pttrn_0 (lm_R) 1.218 0.011 112.688 0.000 0.491 0.646
pictr_0 (lm_M) 0.599 0.009 64.799 0.000 0.242 0.287
pcvcb_0 (lm_P) 0.929 0.009 107.753 0.000 0.375 0.447
redng_0 (lm_V) 0.981 0.009 111.466 0.000 0.396 0.463
g_eta2 =~
flnkr_2 1.000 0.412 0.517
pttrn_2 (lm_R) 1.218 0.011 112.688 0.000 0.502 0.653
pictr_2 (lm_M) 0.599 0.009 64.799 0.000 0.247 0.277
pcvcb_2 (lm_P) 0.929 0.009 107.753 0.000 0.383 0.437
redng_2 (lm_V) 0.981 0.009 111.466 0.000 0.404 0.479
g_eta4 =~
flnkr_4 1.000 0.442 0.557
pttrn_4 (lm_R) 1.218 0.011 112.688 0.000 0.539 0.655
pictr_4 (lm_M) 0.599 0.009 64.799 0.000 0.265 0.250
pcvcb_4 (lm_P) 0.929 0.009 107.753 0.000 0.411 0.444
redng_4 (lm_V) 0.981 0.009 111.466 0.000 0.434 0.470
g_eta6 =~
flnkr_6 1.000 0.495 0.609
pttrn_6 (lm_R) 1.218 0.011 112.688 0.000 0.603 0.706
pictr_6 (lm_M) 0.599 0.009 64.799 0.000 0.297 0.280
pcvcb_6 (lm_P) 0.929 0.009 107.753 0.000 0.460 0.492
redng_6 (lm_V) 0.981 0.009 111.466 0.000 0.486 0.501
g_i =~
g_etaB 1.000 0.962 0.962
g_eta2 1.000 0.942 0.942
g_eta4 1.000 0.878 0.878
g_eta6 1.000 0.784 0.784
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.127 0.127
g_eta4 2.000 0.236 0.236
g_eta6 3.000 0.316 0.316
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_i ~
dummy_sex 0.031 0.016 1.937 0.053 0.040 0.020
a_s ~
dummy_sex -0.015 0.007 -2.033 0.042 -0.059 -0.029
p_i ~
dummy_sex 0.130 0.012 10.681 0.000 0.189 0.095
p_s ~
dummy_sex -0.036 0.014 -2.618 0.009 -0.086 -0.043
p_q ~
dummy_sex -0.012 0.004 -2.673 0.008 -0.097 -0.049
g_i ~
dummy_sex -0.041 0.009 -4.390 0.000 -0.105 -0.052
g_s ~
dummy_sex 0.004 0.003 1.160 0.246 0.077 0.038
p_i ~
g_i -0.263 0.019 -13.839 0.000 -0.149 -0.149
a_i 0.608 0.010 59.406 0.000 0.692 0.692
p_s ~
g_i 0.089 0.028 3.168 0.002 0.082 0.082
g_s -0.840 0.436 -1.929 0.054 -0.103 -0.103
a_i 0.014 0.012 1.240 0.215 0.026 0.026
a_s 1.290 0.065 19.810 0.000 0.760 0.760
p_q ~
g_i -0.018 0.009 -1.890 0.059 -0.056 -0.056
g_s 0.242 0.145 1.670 0.095 0.103 0.103
a_i -0.018 0.004 -5.028 0.000 -0.115 -0.115
a_s -0.317 0.019 -16.853 0.000 -0.650 -0.650
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.181 0.005 36.993 0.000 0.181 0.557
.asr_nxdp_cmp_4 0.165 0.005 32.650 0.000 0.165 0.497
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.201 0.005 37.271 0.000 0.201 0.582
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.228 0.006 37.164 0.000 0.228 0.471
.asr_wthdp_cm_4 0.206 0.006 33.219 0.000 0.206 0.436
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.225 0.006 35.557 0.000 0.225 0.478
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.275 0.007 40.924 0.000 0.275 0.495
.asr_soma_cmp_4 0.240 0.007 35.090 0.000 0.240 0.434
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.282 0.007 39.222 0.000 0.282 0.506
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.192 0.005 35.455 0.000 0.192 0.437
.asr_thprb_cm_4 0.160 0.005 29.462 0.000 0.160 0.377
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.168 0.005 31.881 0.000 0.168 0.422
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.254 0.005 48.610 0.000 0.254 0.644
.asr_ttprb_cm_4 0.248 0.006 44.926 0.000 0.248 0.599
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.267 0.006 47.616 0.000 0.267 0.666
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.305 0.007 41.521 0.000 0.305 0.483
.asr_rlbrk_cm_4 0.261 0.007 35.957 0.000 0.261 0.429
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.284 0.007 38.850 0.000 0.284 0.487
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.243 0.006 43.319 0.000 0.243 0.551
.asr_ggrss_cm_4 0.220 0.006 39.258 0.000 0.220 0.508
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.248 0.006 42.713 0.000 0.248 0.582
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.495 0.010 51.818 0.000 0.495 0.576
.asr_intr_cmp_4 0.464 0.010 47.898 0.000 0.464 0.546
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.473 0.010 49.572 0.000 0.473 0.582
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.019 0.005 3.844 0.000 0.019 0.049
.asr_soma_cmp_0 0.026 0.005 5.102 0.000 0.026 0.063
.asr_wthdp_cm_2 0.019 0.005 3.917 0.000 0.019 0.049
.asr_soma_cmp_2 0.032 0.005 6.175 0.000 0.032 0.076
.asr_wthdp_cm_4 0.017 0.005 3.378 0.001 0.017 0.045
.asr_soma_cmp_4 0.030 0.005 5.658 0.000 0.030 0.073
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 0.009 0.005 1.813 0.070 0.009 0.022
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.025 0.005 4.804 0.000 0.025 0.057
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.035 0.005 6.774 0.000 0.035 0.088
.asr_soma_cmp_2 0.045 0.005 8.198 0.000 0.045 0.103
.asr_wthdp_cm_4 0.022 0.005 4.244 0.000 0.022 0.056
.asr_soma_cmp_4 0.027 0.006 4.828 0.000 0.027 0.061
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 0.001 0.005 0.160 0.873 0.001 0.002
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.024 0.005 4.317 0.000 0.024 0.053
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.016 0.005 3.088 0.002 0.016 0.040
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.042 0.006 7.407 0.000 0.042 0.094
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.041 0.006 7.374 0.000 0.041 0.101
.asr_soma_cmp_4 0.057 0.006 9.719 0.000 0.057 0.129
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.033 0.006 -5.737 0.000 -0.033 -0.063
.asr_soma_cmp_2 -0.021 0.006 -3.531 0.000 -0.021 -0.039
.asr_soma_cmp_4 -0.035 0.006 -5.703 0.000 -0.035 -0.067
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.014 0.006 -2.497 0.013 -0.014 -0.028
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.016 0.006 -2.726 0.006 -0.016 -0.031
.asr_soma_cmp_4 -0.023 0.006 -3.677 0.000 -0.023 -0.044
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.017 0.006 -2.841 0.004 -0.017 -0.033
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.021 0.006 -3.475 0.001 -0.021 -0.042
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.022 0.006 -3.595 0.000 -0.022 -0.044
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.131 0.007 19.515 0.000 0.131 0.207
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.073 0.006 12.318 0.000 0.073 0.134
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.084 0.006 13.044 0.000 0.084 0.139
.asr_rlbrk_cm_2 0.024 0.006 4.292 0.000 0.024 0.047
.asr_intr_cmp_4 0.093 0.007 13.912 0.000 0.093 0.154
.asr_rlbrk_cm_4 0.032 0.006 5.461 0.000 0.032 0.063
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.093 0.007 13.978 0.000 0.093 0.148
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.050 0.006 8.543 0.000 0.050 0.094
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.136 0.007 20.640 0.000 0.136 0.227
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.045 0.006 7.827 0.000 0.045 0.088
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.107 0.007 15.869 0.000 0.107 0.180
.asr_rlbrk_cm_4 0.043 0.006 7.279 0.000 0.043 0.086
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.095 0.007 13.983 0.000 0.095 0.156
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.056 0.006 9.312 0.000 0.056 0.107
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.102 0.007 15.325 0.000 0.102 0.174
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.047 0.006 7.887 0.000 0.047 0.093
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.137 0.007 20.049 0.000 0.137 0.236
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.064 0.006 10.889 0.000 0.064 0.133
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.119 0.008 15.470 0.000 0.119 0.155
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.067 0.007 8.995 0.000 0.067 0.091
.asr_rlbrk_cm_4 0.072 0.008 9.444 0.000 0.072 0.101
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.072 0.008 9.532 0.000 0.072 0.097
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.111 0.007 15.165 0.000 0.111 0.158
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.071 0.007 9.520 0.000 0.071 0.104
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.086 0.008 10.998 0.000 0.086 0.117
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.078 0.008 10.267 0.000 0.078 0.112
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.110 0.008 14.579 0.000 0.110 0.163
.a_i ~~
.a_s -0.080 0.004 -18.236 0.000 -0.409 -0.409
.anxdep_comp_0 ~~
.anxdep_comp_1 0.315 0.006 48.673 0.000 0.315 0.606
.anxdep_comp_2 0.277 0.006 44.785 0.000 0.277 0.547
.anxdep_comp_3 0.251 0.006 40.035 0.000 0.251 0.484
.anxdep_comp_4 0.224 0.006 36.630 0.000 0.224 0.445
.anxdep_comp_5 0.205 0.006 32.016 0.000 0.205 0.397
.anxdep_comp_6 0.183 0.007 25.338 0.000 0.183 0.373
.anxdep_comp_1 ~~
.anxdep_comp_2 0.306 0.006 47.407 0.000 0.306 0.595
.anxdep_comp_3 0.274 0.007 42.158 0.000 0.274 0.519
.anxdep_comp_4 0.234 0.006 37.219 0.000 0.234 0.458
.anxdep_comp_5 0.228 0.007 34.438 0.000 0.228 0.434
.anxdep_comp_6 0.198 0.007 26.575 0.000 0.198 0.397
.anxdep_comp_2 ~~
.anxdep_comp_3 0.318 0.007 48.131 0.000 0.318 0.619
.anxdep_comp_4 0.271 0.006 42.830 0.000 0.271 0.543
.anxdep_comp_5 0.252 0.007 38.588 0.000 0.252 0.493
.anxdep_comp_6 0.221 0.007 30.483 0.000 0.221 0.455
.anxdep_comp_3 ~~
.anxdep_comp_4 0.306 0.007 45.697 0.000 0.306 0.598
.anxdep_comp_5 0.287 0.007 41.378 0.000 0.287 0.548
.anxdep_comp_6 0.245 0.007 32.984 0.000 0.245 0.492
.anxdep_comp_4 ~~
.anxdep_comp_5 0.333 0.007 46.860 0.000 0.333 0.656
.anxdep_comp_6 0.270 0.008 36.013 0.000 0.270 0.560
.anxdep_comp_5 ~~
.anxdep_comp_6 0.308 0.008 38.837 0.000 0.308 0.623
.withdep_comp_0 ~~
.withdep_comp_1 0.235 0.005 44.900 0.000 0.235 0.561
.withdep_comp_2 0.198 0.005 36.771 0.000 0.198 0.426
.withdep_comp_3 0.162 0.006 27.411 0.000 0.162 0.309
.withdep_comp_4 0.126 0.007 19.257 0.000 0.126 0.220
.withdep_comp_5 0.105 0.007 14.775 0.000 0.105 0.175
.withdep_comp_6 0.083 0.008 10.128 0.000 0.083 0.143
.withdep_comp_1 ~~
.withdep_comp_2 0.257 0.006 44.578 0.000 0.257 0.536
.withdep_comp_3 0.235 0.006 37.117 0.000 0.235 0.434
.withdep_comp_4 0.200 0.007 28.767 0.000 0.200 0.336
.withdep_comp_5 0.181 0.008 24.037 0.000 0.181 0.290
.withdep_comp_6 0.145 0.008 17.151 0.000 0.145 0.242
.withdep_comp_2 ~~
.withdep_comp_3 0.336 0.007 45.623 0.000 0.336 0.561
.withdep_comp_4 0.309 0.008 38.518 0.000 0.309 0.471
.withdep_comp_5 0.286 0.009 33.141 0.000 0.286 0.414
.withdep_comp_6 0.240 0.010 24.363 0.000 0.240 0.361
.withdep_comp_3 ~~
.withdep_comp_4 0.440 0.010 45.797 0.000 0.440 0.592
.withdep_comp_5 0.425 0.010 41.527 0.000 0.425 0.544
.withdep_comp_6 0.355 0.011 31.860 0.000 0.355 0.471
.withdep_comp_4 ~~
.withdep_comp_5 0.560 0.012 47.256 0.000 0.560 0.653
.withdep_comp_6 0.474 0.013 37.620 0.000 0.474 0.574
.withdep_comp_5 ~~
.withdep_comp_6 0.570 0.014 41.313 0.000 0.570 0.657
.soma_comp_0 ~~
.soma_comp_1 0.355 0.008 45.904 0.000 0.355 0.510
.soma_comp_2 0.300 0.007 40.806 0.000 0.300 0.451
.soma_comp_3 0.267 0.007 36.200 0.000 0.267 0.399
.soma_comp_4 0.254 0.008 32.025 0.000 0.254 0.357
.soma_comp_5 0.250 0.009 27.994 0.000 0.250 0.322
.soma_comp_6 0.245 0.011 22.871 0.000 0.245 0.312
.soma_comp_1 ~~
.soma_comp_2 0.336 0.008 44.268 0.000 0.336 0.501
.soma_comp_3 0.292 0.008 38.657 0.000 0.292 0.435
.soma_comp_4 0.278 0.008 34.428 0.000 0.278 0.388
.soma_comp_5 0.281 0.009 30.871 0.000 0.281 0.359
.soma_comp_6 0.257 0.011 23.563 0.000 0.257 0.325
.soma_comp_2 ~~
.soma_comp_3 0.325 0.007 43.654 0.000 0.325 0.505
.soma_comp_4 0.304 0.008 38.354 0.000 0.304 0.444
.soma_comp_5 0.298 0.009 33.922 0.000 0.298 0.398
.soma_comp_6 0.274 0.010 26.498 0.000 0.274 0.362
.soma_comp_3 ~~
.soma_comp_4 0.339 0.008 41.283 0.000 0.339 0.494
.soma_comp_5 0.327 0.009 36.002 0.000 0.327 0.436
.soma_comp_6 0.313 0.011 29.639 0.000 0.313 0.412
.soma_comp_4 ~~
.soma_comp_5 0.442 0.010 43.330 0.000 0.442 0.553
.soma_comp_6 0.412 0.012 34.567 0.000 0.412 0.510
.soma_comp_5 ~~
.soma_comp_6 0.523 0.013 39.147 0.000 0.523 0.593
.socprob_comp_0 ~~
.socprob_comp_1 0.197 0.005 36.656 0.000 0.197 0.485
.socprob_comp_2 0.161 0.005 32.110 0.000 0.161 0.418
.socprob_comp_3 0.126 0.005 26.404 0.000 0.126 0.344
.socprob_comp_4 0.102 0.005 21.725 0.000 0.102 0.286
.socprob_comp_5 0.091 0.005 19.015 0.000 0.091 0.257
.socprob_comp_6 0.075 0.005 13.903 0.000 0.075 0.228
.socprob_comp_1 ~~
.socprob_comp_2 0.178 0.005 35.612 0.000 0.178 0.480
.socprob_comp_3 0.142 0.005 29.789 0.000 0.142 0.400
.socprob_comp_4 0.113 0.005 24.259 0.000 0.113 0.326
.socprob_comp_5 0.098 0.005 20.806 0.000 0.098 0.286
.socprob_comp_6 0.090 0.005 17.115 0.000 0.090 0.286
.socprob_comp_2 ~~
.socprob_comp_3 0.160 0.005 34.086 0.000 0.160 0.478
.socprob_comp_4 0.136 0.005 29.894 0.000 0.136 0.417
.socprob_comp_5 0.114 0.005 24.832 0.000 0.114 0.354
.socprob_comp_6 0.103 0.005 20.502 0.000 0.103 0.344
.socprob_comp_3 ~~
.socprob_comp_4 0.145 0.005 31.959 0.000 0.145 0.463
.socprob_comp_5 0.130 0.005 28.135 0.000 0.130 0.421
.socprob_comp_6 0.112 0.005 22.535 0.000 0.112 0.392
.socprob_comp_4 ~~
.socprob_comp_5 0.156 0.005 33.067 0.000 0.156 0.517
.socprob_comp_6 0.133 0.005 26.078 0.000 0.133 0.477
.socprob_comp_5 ~~
.socprob_comp_6 0.152 0.005 28.671 0.000 0.152 0.549
.thouprob_comp_0 ~~
.thouprob_cmp_1 0.200 0.005 37.755 0.000 0.200 0.482
.thouprob_cmp_2 0.159 0.005 32.327 0.000 0.159 0.410
.thouprob_cmp_3 0.135 0.005 28.054 0.000 0.135 0.359
.thouprob_cmp_4 0.118 0.005 24.704 0.000 0.118 0.324
.thouprob_cmp_5 0.114 0.005 21.972 0.000 0.114 0.291
.thouprob_cmp_6 0.085 0.006 14.805 0.000 0.085 0.244
.thouprob_comp_1 ~~
.thouprob_cmp_2 0.189 0.005 36.592 0.000 0.189 0.479
.thouprob_cmp_3 0.155 0.005 31.050 0.000 0.155 0.408
.thouprob_cmp_4 0.135 0.005 27.409 0.000 0.135 0.365
.thouprob_cmp_5 0.142 0.005 26.611 0.000 0.142 0.358
.thouprob_cmp_6 0.102 0.006 17.655 0.000 0.102 0.289
.thouprob_comp_2 ~~
.thouprob_cmp_3 0.161 0.005 33.183 0.000 0.161 0.450
.thouprob_cmp_4 0.134 0.005 28.416 0.000 0.134 0.387
.thouprob_cmp_5 0.134 0.005 26.151 0.000 0.134 0.359
.thouprob_cmp_6 0.094 0.006 16.921 0.000 0.094 0.282
.thouprob_comp_3 ~~
.thouprob_cmp_4 0.141 0.005 29.920 0.000 0.141 0.421
.thouprob_cmp_5 0.133 0.005 26.124 0.000 0.133 0.370
.thouprob_cmp_6 0.094 0.005 17.231 0.000 0.094 0.291
.thouprob_comp_4 ~~
.thouprob_cmp_5 0.173 0.005 33.254 0.000 0.173 0.495
.thouprob_cmp_6 0.127 0.005 23.161 0.000 0.127 0.408
.thouprob_comp_5 ~~
.thouprob_cmp_6 0.168 0.006 27.739 0.000 0.168 0.502
.attprob_comp_0 ~~
.attprob_comp_1 0.302 0.006 51.714 0.000 0.302 0.672
.attprob_comp_2 0.268 0.006 48.145 0.000 0.268 0.614
.attprob_comp_3 0.248 0.006 45.047 0.000 0.248 0.571
.attprob_comp_4 0.217 0.005 41.020 0.000 0.217 0.522
.attprob_comp_5 0.217 0.006 39.393 0.000 0.217 0.511
.attprob_comp_6 0.192 0.006 31.472 0.000 0.192 0.467
.attprob_comp_1 ~~
.attprob_comp_2 0.290 0.006 50.808 0.000 0.290 0.670
.attprob_comp_3 0.265 0.006 47.328 0.000 0.265 0.616
.attprob_comp_4 0.227 0.005 42.463 0.000 0.227 0.551
.attprob_comp_5 0.229 0.006 41.342 0.000 0.229 0.542
.attprob_comp_6 0.204 0.006 33.409 0.000 0.204 0.500
.attprob_comp_2 ~~
.attprob_comp_3 0.278 0.006 49.616 0.000 0.278 0.664
.attprob_comp_4 0.239 0.005 45.015 0.000 0.239 0.596
.attprob_comp_5 0.241 0.006 43.812 0.000 0.241 0.590
.attprob_comp_6 0.213 0.006 35.596 0.000 0.213 0.538
.attprob_comp_3 ~~
.attprob_comp_4 0.258 0.005 47.366 0.000 0.258 0.649
.attprob_comp_5 0.252 0.006 45.020 0.000 0.252 0.619
.attprob_comp_6 0.221 0.006 36.942 0.000 0.221 0.562
.attprob_comp_4 ~~
.attprob_comp_5 0.267 0.006 47.465 0.000 0.267 0.685
.attprob_comp_6 0.235 0.006 39.389 0.000 0.235 0.624
.attprob_comp_5 ~~
.attprob_comp_6 0.266 0.006 42.031 0.000 0.266 0.691
.rulebreak_comp_0 ~~
.rulebrek_cmp_1 0.291 0.006 49.992 0.000 0.291 0.609
.rulebrek_cmp_2 0.255 0.006 43.973 0.000 0.255 0.523
.rulebrek_cmp_3 0.238 0.006 39.604 0.000 0.238 0.475
.rulebrek_cmp_4 0.240 0.007 34.547 0.000 0.240 0.413
.rulebrek_cmp_5 0.266 0.008 32.353 0.000 0.266 0.392
.rulebrek_cmp_6 0.224 0.010 23.014 0.000 0.224 0.321
.rulebreak_comp_1 ~~
.rulebrek_cmp_2 0.281 0.006 46.938 0.000 0.281 0.575
.rulebrek_cmp_3 0.266 0.006 43.124 0.000 0.266 0.530
.rulebrek_cmp_4 0.278 0.007 39.061 0.000 0.278 0.478
.rulebrek_cmp_5 0.278 0.008 33.477 0.000 0.278 0.409
.rulebrek_cmp_6 0.252 0.010 25.332 0.000 0.252 0.360
.rulebreak_comp_2 ~~
.rulebrek_cmp_3 0.305 0.007 46.462 0.000 0.305 0.595
.rulebrek_cmp_4 0.300 0.007 40.634 0.000 0.300 0.506
.rulebrek_cmp_5 0.337 0.009 38.723 0.000 0.337 0.486
.rulebrek_cmp_6 0.315 0.010 30.544 0.000 0.315 0.443
.rulebreak_comp_3 ~~
.rulebrek_cmp_4 0.347 0.008 43.933 0.000 0.347 0.569
.rulebrek_cmp_5 0.367 0.009 39.710 0.000 0.367 0.514
.rulebrek_cmp_6 0.355 0.011 33.599 0.000 0.355 0.485
.rulebreak_comp_4 ~~
.rulebrek_cmp_5 0.534 0.011 47.473 0.000 0.534 0.646
.rulebrek_cmp_6 0.510 0.013 39.812 0.000 0.510 0.603
.rulebreak_comp_5 ~~
.rulebrek_cmp_6 0.712 0.016 45.918 0.000 0.712 0.719
.aggress_comp_0 ~~
.aggress_comp_1 0.299 0.006 49.844 0.000 0.299 0.657
.aggress_comp_2 0.269 0.006 46.581 0.000 0.269 0.605
.aggress_comp_3 0.232 0.006 41.156 0.000 0.232 0.530
.aggress_comp_4 0.204 0.005 38.456 0.000 0.204 0.500
.aggress_comp_5 0.197 0.005 36.180 0.000 0.197 0.481
.aggress_comp_6 0.159 0.006 27.795 0.000 0.159 0.427
.aggress_comp_1 ~~
.aggress_comp_2 0.277 0.006 48.225 0.000 0.277 0.643
.aggress_comp_3 0.246 0.006 43.905 0.000 0.246 0.580
.aggress_comp_4 0.209 0.005 39.971 0.000 0.209 0.529
.aggress_comp_5 0.196 0.005 36.741 0.000 0.196 0.495
.aggress_comp_6 0.161 0.006 28.359 0.000 0.161 0.446
.aggress_comp_2 ~~
.aggress_comp_3 0.269 0.006 47.228 0.000 0.269 0.649
.aggress_comp_4 0.220 0.005 41.986 0.000 0.220 0.570
.aggress_comp_5 0.214 0.005 39.970 0.000 0.214 0.552
.aggress_comp_6 0.182 0.006 32.360 0.000 0.182 0.513
.aggress_comp_3 ~~
.aggress_comp_4 0.241 0.005 44.777 0.000 0.241 0.635
.aggress_comp_5 0.224 0.005 41.164 0.000 0.224 0.587
.aggress_comp_6 0.192 0.006 34.299 0.000 0.192 0.550
.aggress_comp_4 ~~
.aggress_comp_5 0.238 0.005 44.592 0.000 0.238 0.669
.aggress_comp_6 0.198 0.005 36.372 0.000 0.198 0.611
.aggress_comp_5 ~~
.aggress_comp_6 0.223 0.006 38.936 0.000 0.223 0.685
.anxdep_comp_0 ~~
.withdep_comp_0 0.097 0.005 19.099 0.000 0.097 0.213
.soma_comp_0 0.113 0.006 18.174 0.000 0.113 0.190
.withdep_comp_1 0.081 0.005 15.687 0.000 0.081 0.171
.soma_comp_1 0.078 0.006 12.401 0.000 0.078 0.130
.withdep_comp_2 0.082 0.006 14.494 0.000 0.082 0.157
.soma_comp_2 0.072 0.006 11.846 0.000 0.072 0.125
.withdep_comp_3 0.094 0.007 14.436 0.000 0.094 0.160
.soma_comp_3 0.073 0.006 11.768 0.000 0.073 0.127
.withdep_comp_4 0.078 0.007 10.677 0.000 0.078 0.121
.soma_comp_4 0.081 0.007 12.062 0.000 0.081 0.133
.withdep_comp_5 0.074 0.008 9.137 0.000 0.074 0.109
.soma_comp_5 0.062 0.008 8.032 0.000 0.062 0.092
.withdep_comp_6 0.062 0.009 6.706 0.000 0.062 0.095
.soma_comp_6 0.066 0.009 7.043 0.000 0.066 0.098
.withdep_comp_0 ~~
.anxdep_comp_1 0.065 0.005 12.816 0.000 0.065 0.141
.soma_comp_0 ~~
.anxdep_comp_1 0.093 0.006 14.644 0.000 0.093 0.153
.anxdep_comp_1 ~~
.withdep_comp_1 0.100 0.005 18.751 0.000 0.100 0.210
.soma_comp_1 0.106 0.006 16.393 0.000 0.106 0.175
.withdep_comp_2 0.087 0.006 14.986 0.000 0.087 0.164
.soma_comp_2 0.078 0.006 12.541 0.000 0.078 0.134
.withdep_comp_3 0.108 0.007 16.130 0.000 0.108 0.180
.soma_comp_3 0.074 0.006 11.713 0.000 0.074 0.127
.withdep_comp_4 0.093 0.007 12.413 0.000 0.093 0.142
.soma_comp_4 0.086 0.007 12.521 0.000 0.086 0.139
.withdep_comp_5 0.108 0.008 13.050 0.000 0.108 0.156
.soma_comp_5 0.084 0.008 10.658 0.000 0.084 0.123
.withdep_comp_6 0.086 0.009 9.090 0.000 0.086 0.130
.soma_comp_6 0.072 0.010 7.400 0.000 0.072 0.104
.withdep_comp_0 ~~
.anxdep_comp_2 0.073 0.005 14.423 0.000 0.073 0.161
.soma_comp_0 ~~
.anxdep_comp_2 0.091 0.006 14.535 0.000 0.091 0.154
.withdep_comp_1 ~~
.anxdep_comp_2 0.089 0.005 17.217 0.000 0.089 0.192
.soma_comp_1 ~~
.anxdep_comp_2 0.081 0.006 12.794 0.000 0.081 0.136
.anxdep_comp_2 ~~
.withdep_comp_2 0.140 0.006 23.967 0.000 0.140 0.271
.soma_comp_2 0.110 0.006 17.842 0.000 0.110 0.193
.withdep_comp_3 0.131 0.007 19.864 0.000 0.131 0.224
.soma_comp_3 0.091 0.006 14.697 0.000 0.091 0.161
.withdep_comp_4 0.113 0.007 15.407 0.000 0.113 0.177
.soma_comp_4 0.103 0.007 15.209 0.000 0.103 0.170
.withdep_comp_5 0.103 0.008 12.869 0.000 0.103 0.153
.soma_comp_5 0.087 0.008 11.417 0.000 0.087 0.131
.withdep_comp_6 0.080 0.009 8.832 0.000 0.080 0.124
.soma_comp_6 0.079 0.009 8.537 0.000 0.079 0.118
.withdep_comp_0 ~~
.anxdep_comp_3 0.059 0.005 11.376 0.000 0.059 0.128
.soma_comp_0 ~~
.anxdep_comp_3 0.097 0.006 14.991 0.000 0.097 0.161
.withdep_comp_1 ~~
.anxdep_comp_3 0.076 0.005 14.172 0.000 0.076 0.159
.soma_comp_1 ~~
.anxdep_comp_3 0.087 0.007 13.203 0.000 0.087 0.143
.withdep_comp_2 ~~
.anxdep_comp_3 0.112 0.006 18.888 0.000 0.112 0.212
.soma_comp_2 ~~
.anxdep_comp_3 0.096 0.006 15.165 0.000 0.096 0.164
.anxdep_comp_3 ~~
.withdep_comp_3 0.184 0.007 26.297 0.000 0.184 0.307
.soma_comp_3 0.125 0.007 19.197 0.000 0.125 0.214
.withdep_comp_4 0.144 0.008 18.791 0.000 0.144 0.219
.soma_comp_4 0.132 0.007 18.716 0.000 0.132 0.213
.withdep_comp_5 0.142 0.008 17.006 0.000 0.142 0.207
.soma_comp_5 0.124 0.008 15.507 0.000 0.124 0.182
.withdep_comp_6 0.107 0.009 11.590 0.000 0.107 0.161
.soma_comp_6 0.130 0.009 13.801 0.000 0.130 0.190
.withdep_comp_0 ~~
.anxdep_comp_4 0.041 0.005 7.972 0.000 0.041 0.092
.soma_comp_0 ~~
.anxdep_comp_4 0.079 0.006 12.315 0.000 0.079 0.135
.withdep_comp_1 ~~
.anxdep_comp_4 0.060 0.005 11.262 0.000 0.060 0.129
.soma_comp_1 ~~
.anxdep_comp_4 0.075 0.006 11.606 0.000 0.075 0.128
.withdep_comp_2 ~~
.anxdep_comp_4 0.088 0.006 14.979 0.000 0.088 0.171
.soma_comp_2 ~~
.anxdep_comp_4 0.080 0.006 12.772 0.000 0.080 0.142
.withdep_comp_3 ~~
.anxdep_comp_4 0.131 0.007 19.373 0.000 0.131 0.226
.soma_comp_3 ~~
.anxdep_comp_4 0.097 0.006 15.198 0.000 0.097 0.172
.anxdep_comp_4 ~~
.withdep_comp_4 0.202 0.008 25.920 0.000 0.202 0.317
.soma_comp_4 0.149 0.007 21.296 0.000 0.149 0.247
.withdep_comp_5 0.165 0.008 19.905 0.000 0.165 0.247
.soma_comp_5 0.138 0.008 17.524 0.000 0.138 0.209
.withdep_comp_6 0.128 0.009 13.963 0.000 0.128 0.200
.soma_comp_6 0.138 0.009 14.677 0.000 0.138 0.208
.withdep_comp_0 ~~
.anxdep_comp_5 0.037 0.005 6.665 0.000 0.037 0.080
.soma_comp_0 ~~
.anxdep_comp_5 0.070 0.007 10.265 0.000 0.070 0.117
.withdep_comp_1 ~~
.anxdep_comp_5 0.059 0.006 10.520 0.000 0.059 0.124
.soma_comp_1 ~~
.anxdep_comp_5 0.078 0.007 11.319 0.000 0.078 0.129
.withdep_comp_2 ~~
.anxdep_comp_5 0.093 0.006 14.960 0.000 0.093 0.177
.soma_comp_2 ~~
.anxdep_comp_5 0.085 0.007 12.872 0.000 0.085 0.147
.withdep_comp_3 ~~
.anxdep_comp_5 0.139 0.007 19.478 0.000 0.139 0.234
.soma_comp_3 ~~
.anxdep_comp_5 0.093 0.007 13.732 0.000 0.093 0.160
.withdep_comp_4 ~~
.anxdep_comp_5 0.175 0.008 21.752 0.000 0.175 0.268
.soma_comp_4 ~~
.anxdep_comp_5 0.142 0.007 19.321 0.000 0.142 0.231
.anxdep_comp_5 ~~
.withdep_comp_5 0.243 0.009 27.311 0.000 0.243 0.356
.soma_comp_5 0.177 0.008 21.401 0.000 0.177 0.262
.withdep_comp_6 0.156 0.010 16.327 0.000 0.156 0.237
.soma_comp_6 0.152 0.010 15.613 0.000 0.152 0.224
.withdep_comp_0 ~~
.anxdep_comp_6 0.042 0.006 6.675 0.000 0.042 0.097
.soma_comp_0 ~~
.anxdep_comp_6 0.064 0.008 8.211 0.000 0.064 0.112
.withdep_comp_1 ~~
.anxdep_comp_6 0.061 0.006 9.479 0.000 0.061 0.135
.soma_comp_1 ~~
.anxdep_comp_6 0.067 0.008 8.498 0.000 0.067 0.117
.withdep_comp_2 ~~
.anxdep_comp_6 0.089 0.007 12.219 0.000 0.089 0.179
.soma_comp_2 ~~
.anxdep_comp_6 0.084 0.007 11.319 0.000 0.084 0.154
.withdep_comp_3 ~~
.anxdep_comp_6 0.130 0.008 15.994 0.000 0.130 0.230
.soma_comp_3 ~~
.anxdep_comp_6 0.075 0.008 9.933 0.000 0.075 0.136
.withdep_comp_4 ~~
.anxdep_comp_6 0.156 0.009 17.321 0.000 0.156 0.251
.soma_comp_4 ~~
.anxdep_comp_6 0.111 0.008 13.268 0.000 0.111 0.189
.withdep_comp_5 ~~
.anxdep_comp_6 0.186 0.010 19.170 0.000 0.186 0.286
.soma_comp_5 ~~
.anxdep_comp_6 0.119 0.009 13.046 0.000 0.119 0.186
.anxdep_comp_6 ~~
.withdep_comp_6 0.223 0.010 22.109 0.000 0.223 0.356
.soma_comp_6 0.165 0.010 16.748 0.000 0.165 0.255
.withdep_comp_0 ~~
.soma_comp_0 0.046 0.005 8.346 0.000 0.046 0.087
.soma_comp_1 0.047 0.006 8.279 0.000 0.047 0.087
.soma_comp_2 0.033 0.005 5.977 0.000 0.033 0.064
.soma_comp_3 0.022 0.006 3.991 0.000 0.022 0.044
.soma_comp_4 0.013 0.006 2.195 0.028 0.013 0.025
.soma_comp_5 -0.015 0.007 -2.187 0.029 -0.015 -0.025
.soma_comp_6 -0.014 0.009 -1.611 0.107 -0.014 -0.023
.soma_comp_0 ~~
.withdep_comp_1 0.030 0.006 5.350 0.000 0.030 0.055
.withdep_comp_1 ~~
.soma_comp_1 0.059 0.006 10.298 0.000 0.059 0.108
.soma_comp_2 0.044 0.006 7.869 0.000 0.044 0.083
.soma_comp_3 0.045 0.006 7.920 0.000 0.045 0.085
.soma_comp_4 0.032 0.006 5.130 0.000 0.032 0.057
.soma_comp_5 0.027 0.007 3.821 0.000 0.027 0.044
.soma_comp_6 0.011 0.009 1.329 0.184 0.011 0.018
.soma_comp_0 ~~
.withdep_comp_2 0.043 0.006 6.904 0.000 0.043 0.071
.soma_comp_1 ~~
.withdep_comp_2 0.059 0.006 9.194 0.000 0.059 0.096
.withdep_comp_2 ~~
.soma_comp_2 0.073 0.006 11.971 0.000 0.073 0.126
.soma_comp_3 0.055 0.006 8.798 0.000 0.055 0.094
.soma_comp_4 0.071 0.007 10.396 0.000 0.071 0.114
.soma_comp_5 0.064 0.008 8.200 0.000 0.064 0.093
.soma_comp_6 0.048 0.010 4.870 0.000 0.048 0.069
.soma_comp_0 ~~
.withdep_comp_3 0.059 0.007 8.170 0.000 0.059 0.086
.soma_comp_1 ~~
.withdep_comp_3 0.053 0.007 7.215 0.000 0.053 0.077
.soma_comp_2 ~~
.withdep_comp_3 0.059 0.007 8.390 0.000 0.059 0.089
.withdep_comp_3 ~~
.soma_comp_3 0.081 0.007 11.295 0.000 0.081 0.122
.soma_comp_4 0.107 0.008 13.626 0.000 0.107 0.153
.soma_comp_5 0.120 0.009 13.452 0.000 0.120 0.155
.soma_comp_6 0.122 0.011 11.284 0.000 0.122 0.157
.soma_comp_0 ~~
.withdep_comp_4 0.050 0.008 6.134 0.000 0.050 0.067
.soma_comp_1 ~~
.withdep_comp_4 0.063 0.008 7.569 0.000 0.063 0.083
.soma_comp_2 ~~
.withdep_comp_4 0.058 0.008 7.223 0.000 0.058 0.080
.soma_comp_3 ~~
.withdep_comp_4 0.080 0.008 9.843 0.000 0.080 0.110
.withdep_comp_4 ~~
.soma_comp_4 0.146 0.009 16.663 0.000 0.146 0.190
.soma_comp_5 0.142 0.010 14.438 0.000 0.142 0.169
.soma_comp_6 0.162 0.012 13.582 0.000 0.162 0.190
.soma_comp_0 ~~
.withdep_comp_5 0.042 0.009 4.651 0.000 0.042 0.053
.soma_comp_1 ~~
.withdep_comp_5 0.056 0.009 6.130 0.000 0.056 0.070
.soma_comp_2 ~~
.withdep_comp_5 0.051 0.009 5.908 0.000 0.051 0.068
.soma_comp_3 ~~
.withdep_comp_5 0.073 0.009 8.184 0.000 0.073 0.095
.soma_comp_4 ~~
.withdep_comp_5 0.136 0.010 14.118 0.000 0.136 0.167
.withdep_comp_5 ~~
.soma_comp_5 0.208 0.011 19.469 0.000 0.208 0.234
.soma_comp_6 0.194 0.013 15.213 0.000 0.194 0.217
.soma_comp_0 ~~
.withdep_comp_6 0.049 0.010 4.820 0.000 0.049 0.065
.soma_comp_1 ~~
.withdep_comp_6 0.037 0.010 3.608 0.000 0.037 0.049
.soma_comp_2 ~~
.withdep_comp_6 0.039 0.010 3.960 0.000 0.039 0.053
.soma_comp_3 ~~
.withdep_comp_6 0.049 0.010 5.003 0.000 0.049 0.067
.soma_comp_4 ~~
.withdep_comp_6 0.093 0.011 8.592 0.000 0.093 0.119
.soma_comp_5 ~~
.withdep_comp_6 0.135 0.012 11.377 0.000 0.135 0.158
.withdep_comp_6 ~~
.soma_comp_6 0.205 0.013 15.928 0.000 0.205 0.238
.rulebreak_comp_0 ~~
.aggress_comp_0 0.221 0.006 38.735 0.000 0.221 0.466
.aggress_comp_1 0.172 0.005 32.163 0.000 0.172 0.374
.aggress_comp_2 0.161 0.005 30.645 0.000 0.161 0.359
.aggress_comp_3 0.139 0.005 26.295 0.000 0.139 0.313
.aggress_comp_4 0.130 0.005 25.839 0.000 0.130 0.317
.aggress_comp_5 0.133 0.005 25.604 0.000 0.133 0.322
.aggress_comp_6 0.111 0.006 19.682 0.000 0.111 0.296
.aggress_comp_0 ~~
.rulebrek_cmp_1 0.180 0.005 32.880 0.000 0.180 0.380
.rulebreak_comp_1 ~~
.aggress_comp_1 0.215 0.006 37.937 0.000 0.215 0.468
.aggress_comp_2 0.169 0.005 31.773 0.000 0.169 0.376
.aggress_comp_3 0.151 0.005 28.348 0.000 0.151 0.341
.aggress_comp_4 0.143 0.005 28.023 0.000 0.143 0.348
.aggress_comp_5 0.135 0.005 25.736 0.000 0.135 0.326
.aggress_comp_6 0.123 0.006 21.323 0.000 0.123 0.326
.aggress_comp_0 ~~
.rulebrek_cmp_2 0.160 0.006 28.787 0.000 0.160 0.331
.aggress_comp_1 ~~
.rulebrek_cmp_2 0.164 0.005 29.864 0.000 0.164 0.349
.rulebreak_comp_2 ~~
.aggress_comp_2 0.222 0.006 38.550 0.000 0.222 0.485
.aggress_comp_3 0.168 0.006 30.224 0.000 0.168 0.372
.aggress_comp_4 0.142 0.005 27.120 0.000 0.142 0.339
.aggress_comp_5 0.143 0.005 26.704 0.000 0.143 0.340
.aggress_comp_6 0.140 0.006 23.640 0.000 0.140 0.364
.aggress_comp_0 ~~
.rulebrek_cmp_3 0.160 0.006 27.540 0.000 0.160 0.321
.aggress_comp_1 ~~
.rulebrek_cmp_3 0.163 0.006 28.563 0.000 0.163 0.338
.aggress_comp_2 ~~
.rulebrek_cmp_3 0.179 0.006 31.379 0.000 0.179 0.381
.rulebreak_comp_3 ~~
.aggress_comp_3 0.231 0.006 37.996 0.000 0.231 0.497
.aggress_comp_4 0.165 0.005 30.121 0.000 0.165 0.383
.aggress_comp_5 0.156 0.006 27.773 0.000 0.156 0.360
.aggress_comp_6 0.153 0.006 25.610 0.000 0.153 0.388
.aggress_comp_0 ~~
.rulebrek_cmp_4 0.181 0.007 26.744 0.000 0.181 0.315
.aggress_comp_1 ~~
.rulebrek_cmp_4 0.188 0.007 28.232 0.000 0.188 0.337
.aggress_comp_2 ~~
.rulebrek_cmp_4 0.187 0.007 28.548 0.000 0.187 0.344
.aggress_comp_3 ~~
.rulebrek_cmp_4 0.204 0.007 30.237 0.000 0.204 0.379
.rulebreak_comp_4 ~~
.aggress_comp_4 0.249 0.007 37.264 0.000 0.249 0.498
.aggress_comp_5 0.207 0.007 31.226 0.000 0.207 0.414
.aggress_comp_6 0.174 0.007 24.666 0.000 0.174 0.380
.aggress_comp_0 ~~
.rulebrek_cmp_5 0.212 0.008 26.052 0.000 0.212 0.315
.aggress_comp_1 ~~
.rulebrek_cmp_5 0.200 0.008 25.179 0.000 0.200 0.306
.aggress_comp_2 ~~
.rulebrek_cmp_5 0.226 0.008 28.625 0.000 0.226 0.354
.aggress_comp_3 ~~
.rulebrek_cmp_5 0.225 0.008 28.090 0.000 0.225 0.358
.aggress_comp_4 ~~
.rulebrek_cmp_5 0.232 0.008 30.521 0.000 0.232 0.397
.rulebreak_comp_5 ~~
.aggress_comp_5 0.311 0.008 37.971 0.000 0.311 0.529
.aggress_comp_6 0.237 0.008 28.557 0.000 0.237 0.443
.aggress_comp_0 ~~
.rulebrek_cmp_6 0.194 0.010 20.150 0.000 0.194 0.281
.aggress_comp_1 ~~
.rulebrek_cmp_6 0.176 0.009 18.666 0.000 0.176 0.264
.aggress_comp_2 ~~
.rulebrek_cmp_6 0.211 0.009 22.780 0.000 0.211 0.323
.aggress_comp_3 ~~
.rulebrek_cmp_6 0.220 0.009 23.817 0.000 0.220 0.341
.aggress_comp_4 ~~
.rulebrek_cmp_6 0.224 0.009 25.366 0.000 0.224 0.374
.aggress_comp_5 ~~
.rulebrek_cmp_6 0.250 0.009 27.282 0.000 0.250 0.415
.rulebreak_comp_6 ~~
.aggress_comp_6 0.274 0.009 29.265 0.000 0.274 0.499
.p_i ~~
.p_s -0.029 0.006 -5.151 0.000 -0.219 -0.219
.p_q 0.001 0.002 0.507 0.612 0.019 0.019
.p_s ~~
.p_q -0.023 0.003 -8.498 0.000 -0.861 -0.861
.flanker_0 ~~
.flanker_2 0.138 0.007 18.785 0.000 0.138 0.244
.flanker_4 0.099 0.008 13.137 0.000 0.099 0.181
.flanker_6 0.087 0.009 9.361 0.000 0.087 0.162
.flanker_2 ~~
.flanker_4 0.145 0.007 19.939 0.000 0.145 0.322
.flanker_6 0.102 0.008 12.593 0.000 0.102 0.231
.flanker_4 ~~
.flanker_6 0.153 0.009 16.866 0.000 0.153 0.358
.pattern_0 ~~
.pattern_2 0.074 0.005 13.482 0.000 0.074 0.217
.pattern_4 0.040 0.006 6.685 0.000 0.040 0.110
.pattern_6 0.032 0.007 4.562 0.000 0.032 0.092
.pattern_2 ~~
.pattern_4 0.104 0.007 15.272 0.000 0.104 0.289
.pattern_6 0.073 0.008 9.762 0.000 0.073 0.208
.pattern_4 ~~
.pattern_6 0.125 0.009 14.056 0.000 0.125 0.334
.picture_0 ~~
.picture_2 0.252 0.007 33.905 0.000 0.252 0.364
.picture_4 0.258 0.009 28.163 0.000 0.258 0.311
.picture_6 0.282 0.012 23.605 0.000 0.282 0.344
.picture_2 ~~
.picture_4 0.286 0.010 28.160 0.000 0.286 0.326
.picture_6 0.267 0.013 19.944 0.000 0.267 0.307
.picture_4 ~~
.picture_6 0.391 0.016 24.781 0.000 0.391 0.374
.picvocab_0 ~~
.picvocab_2 0.400 0.007 53.374 0.000 0.400 0.678
.picvocab_4 0.404 0.008 50.851 0.000 0.404 0.649
.picvocab_6 0.383 0.009 43.443 0.000 0.383 0.627
.picvocab_2 ~~
.picvocab_4 0.476 0.009 54.231 0.000 0.476 0.729
.picvocab_6 0.463 0.010 47.613 0.000 0.463 0.722
.picvocab_4 ~~
.picvocab_6 0.512 0.011 48.537 0.000 0.512 0.758
.reading_0 ~~
.reading_2 0.405 0.007 55.046 0.000 0.405 0.722
.reading_4 0.409 0.008 50.922 0.000 0.409 0.662
.reading_6 0.419 0.010 43.695 0.000 0.419 0.658
.reading_2 ~~
.reading_4 0.419 0.008 51.450 0.000 0.419 0.694
.reading_6 0.435 0.010 45.417 0.000 0.435 0.700
.reading_4 ~~
.reading_6 0.459 0.011 43.052 0.000 0.459 0.670
.picvocab_0 ~~
.reading_0 0.235 0.007 36.119 0.000 0.235 0.413
.reading_2 0.248 0.007 37.829 0.000 0.248 0.447
.reading_4 0.267 0.007 36.420 0.000 0.267 0.436
.reading_6 0.285 0.009 32.308 0.000 0.285 0.453
.picvocab_2 ~~
.reading_2 0.291 0.007 40.640 0.000 0.291 0.499
.reading_0 ~~
.picvocab_2 0.269 0.007 38.473 0.000 0.269 0.452
.picvocab_2 ~~
.reading_4 0.316 0.008 39.746 0.000 0.316 0.493
.reading_6 0.342 0.010 35.628 0.000 0.342 0.517
.picvocab_4 ~~
.reading_4 0.340 0.009 39.118 0.000 0.340 0.503
.reading_0 ~~
.picvocab_4 0.278 0.008 36.941 0.000 0.278 0.442
.reading_2 ~~
.picvocab_4 0.303 0.008 39.597 0.000 0.303 0.493
.picvocab_4 ~~
.reading_6 0.370 0.010 35.796 0.000 0.370 0.531
.picvocab_6 ~~
.reading_6 0.364 0.011 32.419 0.000 0.364 0.532
.reading_0 ~~
.picvocab_6 0.259 0.009 30.081 0.000 0.259 0.419
.reading_2 ~~
.picvocab_6 0.287 0.009 33.255 0.000 0.287 0.476
.reading_4 ~~
.picvocab_6 0.326 0.010 33.570 0.000 0.326 0.491
.g_i ~~
.g_s 0.004 0.001 3.579 0.000 0.210 0.210
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) 0.016 0.004 3.813 0.000 0.016 0.016
.asr___0 (t_AW) 0.022 0.005 4.339 0.000 0.022 0.021
.asr___0 (t_AS) 0.015 0.005 2.861 0.004 0.015 0.015
.asr___0 (t_AP) 0.020 0.005 4.376 0.000 0.020 0.019
.asr___0 (t_AH) 0.019 0.005 3.953 0.000 0.019 0.020
.asr___0 (t_AA) 0.023 0.005 4.244 0.000 0.023 0.022
.asr___0 (t_AR) 0.021 0.005 4.487 0.000 0.021 0.021
.asr___0 (t_AG) 0.010 0.007 1.441 0.150 0.010 0.010
.asr___2 (t_AX) 0.016 0.004 3.813 0.000 0.016 0.016
.asr___2 (t_AW) 0.022 0.005 4.339 0.000 0.022 0.021
.asr___2 (t_AS) 0.015 0.005 2.861 0.004 0.015 0.015
.asr___2 (t_AP) 0.020 0.005 4.376 0.000 0.020 0.020
.asr___2 (t_AH) 0.019 0.005 3.953 0.000 0.019 0.020
.asr___2 (t_AA) 0.023 0.005 4.244 0.000 0.023 0.023
.asr___2 (t_AR) 0.021 0.005 4.487 0.000 0.021 0.021
.asr___2 (t_AG) 0.010 0.007 1.441 0.150 0.010 0.010
.asr___4 (t_AX) 0.016 0.004 3.813 0.000 0.016 0.016
.asr___4 (t_AW) 0.022 0.005 4.339 0.000 0.022 0.022
.asr___4 (t_AS) 0.015 0.005 2.861 0.004 0.015 0.016
.asr___4 (t_AP) 0.020 0.005 4.376 0.000 0.020 0.021
.asr___4 (t_AH) 0.019 0.005 3.953 0.000 0.019 0.020
.asr___4 (t_AA) 0.023 0.005 4.244 0.000 0.023 0.024
.asr___4 (t_AR) 0.021 0.005 4.487 0.000 0.021 0.022
.asr___4 (t_AG) 0.010 0.007 1.441 0.150 0.010 0.010
.a_i -0.013 0.011 -1.131 0.258 -0.016 -0.016
.a_s -0.016 0.005 -3.004 0.003 -0.063 -0.063
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.anxd__0 (t_CX) -0.016 0.005 -3.217 0.001 -0.016 -0.016
.anxd__1 (t_CX) -0.016 0.005 -3.217 0.001 -0.016 -0.016
.anxd__2 (t_CX) -0.016 0.005 -3.217 0.001 -0.016 -0.016
.anxd__3 (t_CX) -0.016 0.005 -3.217 0.001 -0.016 -0.016
.anxd__4 (t_CX) -0.016 0.005 -3.217 0.001 -0.016 -0.016
.anxd__5 (t_CX) -0.016 0.005 -3.217 0.001 -0.016 -0.016
.anxd__6 (t_CX) -0.016 0.005 -3.217 0.001 -0.016 -0.017
.wthd__0 (t_CW) -0.082 0.005 -16.213 0.000 -0.082 -0.091
.wthd__1 (t_CW) -0.082 0.005 -16.213 0.000 -0.082 -0.090
.wthd__2 (t_CW) -0.082 0.005 -16.213 0.000 -0.082 -0.085
.wthd__3 (t_CW) -0.082 0.005 -16.213 0.000 -0.082 -0.079
.wthd__4 (t_CW) -0.082 0.005 -16.213 0.000 -0.082 -0.075
.wthd__5 (t_CW) -0.082 0.005 -16.213 0.000 -0.082 -0.073
.wthd__6 (t_CW) -0.082 0.005 -16.213 0.000 -0.082 -0.076
.sm_cm_0 (t_CS) -0.019 0.006 -3.093 0.002 -0.019 -0.019
.sm_cm_1 (t_CS) -0.019 0.006 -3.093 0.002 -0.019 -0.019
.sm_cm_2 (t_CS) -0.019 0.006 -3.093 0.002 -0.019 -0.019
.sm_cm_3 (t_CS) -0.019 0.006 -3.093 0.002 -0.019 -0.019
.sm_cm_4 (t_CS) -0.019 0.006 -3.093 0.002 -0.019 -0.019
.sm_cm_5 (t_CS) -0.019 0.006 -3.093 0.002 -0.019 -0.017
.sm_cm_6 (t_CS) -0.019 0.006 -3.093 0.002 -0.019 -0.017
.scpr__0 (t_CP) 0.023 0.004 5.627 0.000 0.023 0.021
.scpr__1 (t_CP) 0.023 0.004 5.627 0.000 0.023 0.022
.scpr__2 (t_CP) 0.023 0.004 5.627 0.000 0.023 0.022
.scpr__3 (t_CP) 0.023 0.004 5.627 0.000 0.023 0.023
.scpr__4 (t_CP) 0.023 0.004 5.627 0.000 0.023 0.023
.scpr__5 (t_CP) 0.023 0.004 5.627 0.000 0.023 0.024
.scpr__6 (t_CP) 0.023 0.004 5.627 0.000 0.023 0.025
.thpr__0 (t_CH) 0.024 0.004 6.033 0.000 0.024 0.023
.thpr__1 (t_CH) 0.024 0.004 6.033 0.000 0.024 0.023
.thpr__2 (t_CH) 0.024 0.004 6.033 0.000 0.024 0.024
.thpr__3 (t_CH) 0.024 0.004 6.033 0.000 0.024 0.025
.thpr__4 (t_CH) 0.024 0.004 6.033 0.000 0.024 0.025
.thpr__5 (t_CH) 0.024 0.004 6.033 0.000 0.024 0.024
.thpr__6 (t_CH) 0.024 0.004 6.033 0.000 0.024 0.026
.attp__0 (t_CA) 0.028 0.005 5.976 0.000 0.028 0.028
.attp__1 (t_CA) 0.028 0.005 5.976 0.000 0.028 0.028
.attp__2 (t_CA) 0.028 0.005 5.976 0.000 0.028 0.029
.attp__3 (t_CA) 0.028 0.005 5.976 0.000 0.028 0.029
.attp__4 (t_CA) 0.028 0.005 5.976 0.000 0.028 0.030
.attp__5 (t_CA) 0.028 0.005 5.976 0.000 0.028 0.030
.attp__6 (t_CA) 0.028 0.005 5.976 0.000 0.028 0.031
.rlbr__0 (t_CR) -0.022 0.005 -4.518 0.000 -0.022 -0.024
.rlbr__1 (t_CR) -0.022 0.005 -4.518 0.000 -0.022 -0.024
.rlbr__2 (t_CR) -0.022 0.005 -4.518 0.000 -0.022 -0.024
.rlbr__3 (t_CR) -0.022 0.005 -4.518 0.000 -0.022 -0.023
.rlbr__4 (t_CR) -0.022 0.005 -4.518 0.000 -0.022 -0.021
.rlbr__5 (t_CR) -0.022 0.005 -4.518 0.000 -0.022 -0.019
.rlbr__6 (t_CR) -0.022 0.005 -4.518 0.000 -0.022 -0.019
.aggr__0 (t_CG) -0.006 0.004 -1.456 0.145 -0.006 -0.006
.aggr__1 (t_CG) -0.006 0.004 -1.456 0.145 -0.006 -0.006
.aggr__2 (t_CG) -0.006 0.004 -1.456 0.145 -0.006 -0.006
.aggr__3 (t_CG) -0.006 0.004 -1.456 0.145 -0.006 -0.006
.aggr__4 (t_CG) -0.006 0.004 -1.456 0.145 -0.006 -0.006
.aggr__5 (t_CG) -0.006 0.004 -1.456 0.145 -0.006 -0.006
.aggr__6 (t_CG) -0.006 0.004 -1.456 0.145 -0.006 -0.007
.p_i -0.193 0.015 -13.268 0.000 -0.282 -0.282
.p_s 0.457 0.218 2.099 0.036 1.075 1.075
.p_q -0.132 0.073 -1.811 0.070 -1.075 -1.075
.p_etaB 0.000 0.000 0.000
.p_eta1 0.000 0.000 0.000
.p_eta2 0.000 0.000 0.000
.p_eta3 0.000 0.000 0.000
.p_eta4 0.000 0.000 0.000
.p_eta5 0.000 0.000 0.000
.p_eta6 0.000 0.000 0.000
.flnkr_0 (ta_S) 0.120 0.005 24.286 0.000 0.120 0.130
.flnkr_2 (ta_S) 0.120 0.005 24.286 0.000 0.120 0.150
.flnkr_4 (ta_S) 0.120 0.005 24.286 0.000 0.120 0.151
.flnkr_6 (ta_S) 0.120 0.005 24.286 0.000 0.120 0.148
.pttrn_0 (ta_R) 0.141 0.005 30.426 0.000 0.141 0.185
.pttrn_2 (ta_R) 0.141 0.005 30.426 0.000 0.141 0.183
.pttrn_4 (ta_R) 0.141 0.005 30.426 0.000 0.141 0.171
.pttrn_6 (ta_R) 0.141 0.005 30.426 0.000 0.141 0.165
.pictr_0 (ta_M) 0.065 0.006 10.020 0.000 0.065 0.077
.pictr_2 (ta_M) 0.065 0.006 10.020 0.000 0.065 0.072
.pictr_4 (ta_M) 0.065 0.006 10.020 0.000 0.065 0.061
.pictr_6 (ta_M) 0.065 0.006 10.020 0.000 0.065 0.061
.pcvcb_0 (ta_P) 0.067 0.005 12.566 0.000 0.067 0.079
.pcvcb_2 (ta_P) 0.067 0.005 12.566 0.000 0.067 0.076
.pcvcb_4 (ta_P) 0.067 0.005 12.566 0.000 0.067 0.072
.pcvcb_6 (ta_P) 0.067 0.005 12.566 0.000 0.067 0.071
.redng_0 (ta_V) 0.078 0.005 15.290 0.000 0.078 0.092
.redng_2 (ta_V) 0.078 0.005 15.290 0.000 0.078 0.093
.redng_4 (ta_V) 0.078 0.005 15.290 0.000 0.078 0.085
.redng_6 (ta_V) 0.078 0.005 15.290 0.000 0.078 0.081
.g_i -0.652 0.008 -81.570 0.000 -1.681 -1.681
.g_s 0.470 0.004 115.372 0.000 9.018 9.018
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.101 0.006 16.726 0.000 0.143 0.143
.a_eta2 0.181 0.005 39.312 0.000 0.262 0.262
.a_eta4 0.102 0.007 14.239 0.000 0.160 0.160
.asr_nxdp_cmp_0 0.312 0.006 53.399 0.000 0.312 0.305
.asr_wthdp_cm_0 0.486 0.008 63.079 0.000 0.486 0.463
.asr_soma_cmp_0 0.551 0.008 66.549 0.000 0.551 0.549
.asr_thprb_cm_0 0.471 0.007 65.270 0.000 0.471 0.435
.asr_ttprb_cm_0 0.408 0.006 64.412 0.000 0.408 0.411
.asr_rlbrk_cm_0 0.660 0.009 69.904 0.000 0.660 0.606
.asr_ggrss_cm_0 0.448 0.007 64.485 0.000 0.448 0.427
.asr_intr_cmp_0 0.898 0.012 74.903 0.000 0.898 0.841
.asr_nxdp_cmp_2 0.339 0.006 53.440 0.000 0.339 0.329
.asr_wthdp_cm_2 0.481 0.008 61.120 0.000 0.481 0.467
.asr_soma_cmp_2 0.560 0.009 64.620 0.000 0.560 0.559
.asr_thprb_cm_2 0.412 0.007 61.775 0.000 0.412 0.408
.asr_ttprb_cm_2 0.383 0.006 61.210 0.000 0.383 0.402
.asr_rlbrk_cm_2 0.603 0.009 66.769 0.000 0.603 0.590
.asr_ggrss_cm_2 0.435 0.007 62.275 0.000 0.435 0.426
.asr_intr_cmp_2 0.821 0.011 72.050 0.000 0.821 0.832
.asr_nxdp_cmp_4 0.352 0.007 50.812 0.000 0.352 0.354
.asr_wthdp_cm_4 0.461 0.008 57.261 0.000 0.461 0.475
.asr_soma_cmp_4 0.554 0.009 60.444 0.000 0.554 0.575
.asr_thprb_cm_4 0.384 0.007 57.229 0.000 0.384 0.409
.asr_ttprb_cm_4 0.420 0.007 58.583 0.000 0.420 0.443
.asr_rlbrk_cm_4 0.561 0.009 62.017 0.000 0.561 0.591
.asr_ggrss_cm_4 0.417 0.007 58.231 0.000 0.417 0.434
.asr_intr_cmp_4 0.806 0.012 67.777 0.000 0.806 0.840
.a_i 0.607 0.012 49.254 0.000 1.000 1.000
.a_s 0.063 0.003 20.059 0.000 0.999 0.999
.p_etaB 0.080 0.004 20.535 0.000 0.145 0.145
.p_eta1 0.124 0.003 42.729 0.000 0.228 0.228
.p_eta2 0.120 0.003 42.397 0.000 0.227 0.227
.p_eta3 0.112 0.003 39.399 0.000 0.216 0.216
.p_eta4 0.105 0.003 38.340 0.000 0.209 0.209
.p_eta5 0.111 0.003 35.544 0.000 0.223 0.223
.p_eta6 0.042 0.005 9.316 0.000 0.094 0.094
.anxdep_comp_0 0.512 0.008 67.026 0.000 0.512 0.482
.withdep_comp_0 0.406 0.006 65.388 0.000 0.406 0.498
.soma_comp_0 0.692 0.010 72.729 0.000 0.692 0.698
.socprob_comp_0 0.421 0.007 61.311 0.000 0.421 0.380
.thouprob_cmp_0 0.408 0.006 62.992 0.000 0.408 0.379
.attprob_comp_0 0.454 0.007 65.903 0.000 0.454 0.455
.rulebrek_cmp_0 0.478 0.007 69.152 0.000 0.478 0.542
.aggress_comp_0 0.469 0.007 64.458 0.000 0.469 0.429
.anxdep_comp_1 0.529 0.008 65.815 0.000 0.529 0.494
.withdep_comp_1 0.433 0.007 66.277 0.000 0.433 0.518
.soma_comp_1 0.701 0.010 71.049 0.000 0.701 0.703
.socprob_comp_1 0.391 0.007 59.520 0.000 0.391 0.366
.thouprob_cmp_1 0.419 0.007 61.638 0.000 0.419 0.389
.attprob_comp_1 0.446 0.007 64.536 0.000 0.446 0.454
.rulebrek_cmp_1 0.480 0.007 67.190 0.000 0.480 0.547
.aggress_comp_1 0.441 0.007 62.968 0.000 0.441 0.418
.anxdep_comp_2 0.501 0.008 65.136 0.000 0.501 0.487
.withdep_comp_2 0.530 0.008 67.229 0.000 0.530 0.574
.soma_comp_2 0.640 0.009 69.744 0.000 0.640 0.689
.socprob_comp_2 0.350 0.006 58.088 0.000 0.350 0.346
.thouprob_cmp_2 0.370 0.006 59.576 0.000 0.370 0.365
.attprob_comp_2 0.420 0.007 63.634 0.000 0.420 0.445
.rulebrek_cmp_2 0.498 0.008 66.237 0.000 0.498 0.562
.aggress_comp_2 0.421 0.007 61.955 0.000 0.421 0.412
.anxdep_comp_3 0.527 0.008 63.732 0.000 0.527 0.504
.withdep_comp_3 0.680 0.010 65.549 0.000 0.680 0.638
.soma_comp_3 0.645 0.010 67.696 0.000 0.645 0.695
.socprob_comp_3 0.320 0.006 55.713 0.000 0.320 0.331
.thouprob_cmp_3 0.345 0.006 57.011 0.000 0.345 0.353
.attprob_comp_3 0.415 0.007 62.050 0.000 0.415 0.447
.rulebrek_cmp_3 0.526 0.008 63.701 0.000 0.526 0.580
.aggress_comp_3 0.409 0.007 59.903 0.000 0.409 0.410
.anxdep_comp_4 0.496 0.008 61.522 0.000 0.496 0.498
.withdep_comp_4 0.816 0.013 63.085 0.000 0.816 0.686
.soma_comp_4 0.730 0.011 65.732 0.000 0.730 0.728
.socprob_comp_4 0.305 0.006 53.855 0.000 0.305 0.327
.thouprob_cmp_4 0.325 0.006 54.741 0.000 0.325 0.347
.attprob_comp_4 0.381 0.006 59.754 0.000 0.381 0.435
.rulebrek_cmp_4 0.705 0.011 63.061 0.000 0.705 0.657
.aggress_comp_4 0.354 0.006 57.396 0.000 0.354 0.384
.anxdep_comp_5 0.520 0.009 58.723 0.000 0.520 0.512
.withdep_comp_5 0.900 0.015 60.306 0.000 0.900 0.709
.soma_comp_5 0.873 0.014 62.703 0.000 0.873 0.763
.socprob_comp_5 0.298 0.006 50.464 0.000 0.298 0.325
.thouprob_cmp_5 0.376 0.007 53.484 0.000 0.376 0.383
.attprob_comp_5 0.398 0.007 57.773 0.000 0.398 0.448
.rulebrek_cmp_5 0.967 0.016 61.569 0.000 0.967 0.726
.aggress_comp_5 0.357 0.006 54.942 0.000 0.357 0.387
.anxdep_comp_6 0.470 0.010 46.899 0.000 0.470 0.512
.withdep_comp_6 0.835 0.017 48.426 0.000 0.835 0.714
.soma_comp_6 0.892 0.018 50.067 0.000 0.892 0.785
.socprob_comp_6 0.256 0.007 38.920 0.000 0.256 0.313
.thouprob_cmp_6 0.299 0.007 40.513 0.000 0.299 0.353
.attprob_comp_6 0.373 0.008 46.765 0.000 0.373 0.456
.rulebrek_cmp_6 1.015 0.020 49.987 0.000 1.015 0.755
.aggress_comp_6 0.297 0.007 43.076 0.000 0.297 0.368
.p_i 0.228 0.007 35.004 0.000 0.486 0.486
.p_s 0.076 0.009 8.404 0.000 0.420 0.420
.p_q 0.009 0.001 10.762 0.000 0.614 0.614
.g_etaB 0.012 0.002 5.365 0.000 0.074 0.074
.g_eta2 0.008 0.002 5.180 0.000 0.048 0.048
.g_eta4 0.017 0.002 8.229 0.000 0.088 0.088
.g_eta6 0.045 0.004 11.357 0.000 0.183 0.183
.flanker_0 0.684 0.010 68.067 0.000 0.684 0.808
.flanker_2 0.466 0.009 54.450 0.000 0.466 0.733
.flanker_4 0.435 0.009 49.495 0.000 0.435 0.690
.flanker_6 0.417 0.011 38.704 0.000 0.417 0.630
.pattern_0 0.338 0.006 52.588 0.000 0.338 0.583
.pattern_2 0.340 0.008 45.218 0.000 0.340 0.574
.pattern_4 0.385 0.009 42.789 0.000 0.385 0.570
.pattern_6 0.366 0.011 32.943 0.000 0.366 0.502
.picture_0 0.653 0.009 73.382 0.000 0.653 0.918
.picture_2 0.733 0.011 69.170 0.000 0.733 0.923
.picture_4 1.055 0.016 66.200 0.000 1.055 0.938
.picture_6 1.035 0.022 47.843 0.000 1.035 0.922
.picvocab_0 0.562 0.008 69.054 0.000 0.562 0.800
.picvocab_2 0.619 0.009 66.308 0.000 0.619 0.809
.picvocab_4 0.688 0.011 63.162 0.000 0.688 0.803
.picvocab_6 0.663 0.013 49.352 0.000 0.663 0.758
.reading_0 0.574 0.008 68.373 0.000 0.574 0.786
.reading_2 0.549 0.008 64.975 0.000 0.549 0.770
.reading_4 0.665 0.011 62.105 0.000 0.665 0.779
.reading_6 0.705 0.015 47.962 0.000 0.705 0.749
.g_i 0.150 0.004 36.068 0.000 0.997 0.997
.g_s 0.003 0.001 4.280 0.000 0.999 0.999
R-Square:
Estimate
a_etaB 0.857
a_eta2 0.738
a_eta4 0.840
asr_nxdp_cmp_0 0.695
asr_wthdp_cm_0 0.537
asr_soma_cmp_0 0.451
asr_thprb_cm_0 0.565
asr_ttprb_cm_0 0.589
asr_rlbrk_cm_0 0.394
asr_ggrss_cm_0 0.573
asr_intr_cmp_0 0.159
asr_nxdp_cmp_2 0.671
asr_wthdp_cm_2 0.533
asr_soma_cmp_2 0.441
asr_thprb_cm_2 0.592
asr_ttprb_cm_2 0.598
asr_rlbrk_cm_2 0.410
asr_ggrss_cm_2 0.574
asr_intr_cmp_2 0.168
asr_nxdp_cmp_4 0.646
asr_wthdp_cm_4 0.525
asr_soma_cmp_4 0.425
asr_thprb_cm_4 0.591
asr_ttprb_cm_4 0.557
asr_rlbrk_cm_4 0.409
asr_ggrss_cm_4 0.566
asr_intr_cmp_4 0.160
a_i 0.000
a_s 0.001
p_etaB 0.855
p_eta1 0.772
p_eta2 0.773
p_eta3 0.784
p_eta4 0.791
p_eta5 0.777
p_eta6 0.906
anxdep_comp_0 0.518
withdep_comp_0 0.502
soma_comp_0 0.302
socprob_comp_0 0.620
thouprob_cmp_0 0.621
attprob_comp_0 0.545
rulebrek_cmp_0 0.458
aggress_comp_0 0.571
anxdep_comp_1 0.506
withdep_comp_1 0.482
soma_comp_1 0.297
socprob_comp_1 0.634
thouprob_cmp_1 0.611
attprob_comp_1 0.546
rulebrek_cmp_1 0.453
aggress_comp_1 0.582
anxdep_comp_2 0.513
withdep_comp_2 0.426
soma_comp_2 0.311
socprob_comp_2 0.654
thouprob_cmp_2 0.635
attprob_comp_2 0.555
rulebrek_cmp_2 0.438
aggress_comp_2 0.588
anxdep_comp_3 0.496
withdep_comp_3 0.362
soma_comp_3 0.305
socprob_comp_3 0.669
thouprob_cmp_3 0.647
attprob_comp_3 0.553
rulebrek_cmp_3 0.420
aggress_comp_3 0.590
anxdep_comp_4 0.502
withdep_comp_4 0.314
soma_comp_4 0.272
socprob_comp_4 0.673
thouprob_cmp_4 0.653
attprob_comp_4 0.565
rulebrek_cmp_4 0.343
aggress_comp_4 0.616
anxdep_comp_5 0.488
withdep_comp_5 0.291
soma_comp_5 0.237
socprob_comp_5 0.675
thouprob_cmp_5 0.617
attprob_comp_5 0.552
rulebrek_cmp_5 0.274
aggress_comp_5 0.613
anxdep_comp_6 0.488
withdep_comp_6 0.286
soma_comp_6 0.215
socprob_comp_6 0.687
thouprob_cmp_6 0.647
attprob_comp_6 0.544
rulebrek_cmp_6 0.245
aggress_comp_6 0.632
p_i 0.514
p_s 0.580
p_q 0.386
g_etaB 0.926
g_eta2 0.952
g_eta4 0.912
g_eta6 0.817
flanker_0 0.192
flanker_2 0.267
flanker_4 0.310
flanker_6 0.370
pattern_0 0.417
pattern_2 0.426
pattern_4 0.430
pattern_6 0.498
picture_0 0.082
picture_2 0.077
picture_4 0.062
picture_6 0.078
picvocab_0 0.200
picvocab_2 0.191
picvocab_4 0.197
picvocab_6 0.242
reading_0 0.214
reading_2 0.230
reading_4 0.221
reading_6 0.251
g_i 0.003
g_s 0.001
Symptom model
Externalizing symptoms
Ext ~ pp + g model
Children’s Externalizing symptoms (Ext) was regressed on parental psychopathology (pp) and children’s cognitive functioning (g).
model fit
Ext.pga6.model <- "# second-order pp factor
#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#observed variable intercepts
asr_anxdep_comp_0~tau_AX*1
asr_withdep_comp_0~tau_AW*1
asr_soma_comp_0~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_attprob_comp_0~tau_AH*1
asr_rulebreak_comp_0~tau_AA*1
asr_aggress_comp_0~tau_AR*1
asr_intru_comp_0~tau_AG*1
asr_anxdep_comp_2~tau_AX*1
asr_withdep_comp_2~tau_AW*1
asr_soma_comp_2~tau_AS*1
asr_thouprob_comp_2~tau_AP*1
asr_attprob_comp_2~tau_AH*1
asr_rulebreak_comp_2~tau_AA*1
asr_aggress_comp_2~tau_AR*1
asr_intru_comp_2~tau_AG*1
asr_anxdep_comp_4~tau_AX*1
asr_withdep_comp_4~tau_AW*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_4~tau_AP*1
asr_attprob_comp_4~tau_AH*1
asr_rulebreak_comp_4~tau_AA*1
asr_aggress_comp_4~tau_AR*1
asr_intru_comp_4~tau_AG*1
#latent basis model
a_i =~ 1*a_etaB+1*a_eta2+1*a_eta4
a_s =~ 0*a_etaB+1*a_eta2+2*a_eta4
a_i~~NA*a_i
a_s~~NA*a_s
a_i~~a_s
a_i~1
a_s~1
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
# second-order g factor
#factor loadings # S & S2
g_etaB =~ 1*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ 1*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ 1*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ 1*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances
g_etaB~~NA*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1
#latent basis model
g_i =~ 1*g_etaB + 1*g_eta2 + 1*g_eta4 + 1*g_eta6
g_s =~ 0*g_etaB + 1*g_eta2 + 2*g_eta4 + 3*g_eta6
g_i~~NA*g_i
g_s~~NA*g_s
g_i~~g_s
g_i~1
g_s~1
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
# Externalizing model
p_i =~ 1*Ext_comp_0 + 1*Ext_comp_1 + 1*Ext_comp_2 + 1*Ext_comp_3 + 1*Ext_comp_4 + 1*Ext_comp_5 + 1*Ext_comp_6
p_s =~ 0*Ext_comp_0 + .5*Ext_comp_1 + 1*Ext_comp_2 + 1.5*Ext_comp_3 + 2*Ext_comp_4 + 2.5*Ext_comp_5 + 3*Ext_comp_6
p_q =~ 0*Ext_comp_0 + .25*Ext_comp_1 + 1*Ext_comp_2 + 2.25*Ext_comp_3 + 4*Ext_comp_4 + 6.25*Ext_comp_5 + 9*Ext_comp_6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1
p_s~1
p_q~1
Ext_comp_0 ~~ NA*Ext_comp_0
Ext_comp_1 ~~ NA*Ext_comp_1
Ext_comp_2 ~~ NA*Ext_comp_2
Ext_comp_3 ~~ NA*Ext_comp_3
Ext_comp_4 ~~ NA*Ext_comp_4
Ext_comp_5 ~~ NA*Ext_comp_5
Ext_comp_6 ~~ NA*Ext_comp_6
Ext_comp_0 ~ 0*1
Ext_comp_1 ~ 0*1
Ext_comp_2 ~ 0*1
Ext_comp_3 ~ 0*1
Ext_comp_4 ~ 0*1
Ext_comp_5 ~ 0*1
Ext_comp_6 ~ 0*1
# regression
p_i ~ g_i + a_i
p_s ~ g_i + g_s + a_i + a_s
p_q ~ g_i + g_s + a_i + a_s"lavaan(Ext.pga6.model,
data = readRDS("pga6_all_data.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = FALSE,
std.lv = T
) %>%
saveRDS("pgcm_Ext_pga6_model.rds")result
readRDS("pgcm_Ext_pga6_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_Ext_pga6_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_Ext_pga6_model.rds"), "cor.lv"))$value [1] 4.82146687 3.81456746 2.43888409 0.93951339 0.61878366 0.56702729
[7] 0.22953692 0.16062166 0.13268380 0.08277712 0.07497169 0.06081217
[13] 0.04167452 0.01667939
readRDS("pgcm_Ext_pga6_result.rds")lavaan 0.6-19 ended normally after 199 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 292
Number of equality constraints 57
Used Total
Number of observations 11866 11867
Number of missing patterns 709
Model Test User Model:
Test statistic 13996.005
Degrees of freedom 1142
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 322041.968
Degrees of freedom 1275
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.960
Tucker-Lewis Index (TLI) 0.955
Robust Comparative Fit Index (CFI) 0.955
Robust Tucker-Lewis Index (TLI) 0.950
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -524118.654
Loglikelihood unrestricted model (H1) -517120.651
Akaike (AIC) 1048707.307
Bayesian (BIC) 1050441.944
Sample-size adjusted Bayesian (SABIC) 1049695.141
Root Mean Square Error of Approximation:
RMSEA 0.031
90 Percent confidence interval - lower 0.030
90 Percent confidence interval - upper 0.031
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.037
90 Percent confidence interval - lower 0.036
90 Percent confidence interval - upper 0.038
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.050
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.840 0.831
asr___0 (l_AW) 0.894 0.007 126.182 0.000 0.751 0.733
asr___0 (l_AS) 0.796 0.007 111.259 0.000 0.669 0.667
asr___0 (l_AC) 0.933 0.007 124.632 0.000 0.783 0.752
asr___0 (l_AH) 0.908 0.007 130.177 0.000 0.763 0.765
asr___0 (l_AA) 0.787 0.008 98.167 0.000 0.662 0.634
asr___0 (l_AR) 0.930 0.007 124.760 0.000 0.781 0.763
asr___0 (l_AG) 0.490 0.008 59.697 0.000 0.412 0.399
a_eta2 =~
asr___2 1.000 0.827 0.815
asr___2 (l_AW) 0.894 0.007 126.182 0.000 0.740 0.729
asr___2 (l_AS) 0.796 0.007 111.259 0.000 0.659 0.658
asr___2 (l_AC) 0.933 0.007 124.632 0.000 0.772 0.769
asr___2 (l_AH) 0.908 0.007 130.177 0.000 0.751 0.770
asr___2 (l_AA) 0.787 0.008 98.167 0.000 0.652 0.645
asr___2 (l_AR) 0.930 0.007 124.760 0.000 0.770 0.762
asr___2 (l_AG) 0.490 0.008 59.697 0.000 0.406 0.409
a_eta4 =~
asr___4 1.000 0.797 0.799
asr___4 (l_AW) 0.894 0.007 126.182 0.000 0.712 0.723
asr___4 (l_AS) 0.796 0.007 111.259 0.000 0.635 0.646
asr___4 (l_AC) 0.933 0.007 124.632 0.000 0.743 0.768
asr___4 (l_AH) 0.908 0.007 130.177 0.000 0.724 0.743
asr___4 (l_AA) 0.787 0.008 98.167 0.000 0.627 0.645
asr___4 (l_AR) 0.930 0.007 124.760 0.000 0.741 0.758
asr___4 (l_AG) 0.490 0.008 59.697 0.000 0.391 0.399
a_i =~
a_etaB 1.000 0.918 0.918
a_eta2 1.000 0.932 0.932
a_eta4 1.000 0.968 0.968
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.294 0.294
a_eta4 2.000 0.611 0.611
g_etaB =~
flnkr_0 1.000 0.404 0.439
pttrn_0 (lm_R) 1.214 0.011 112.940 0.000 0.491 0.643
pictr_0 (lm_M) 0.600 0.009 64.854 0.000 0.242 0.287
pcvcb_0 (lm_P) 0.930 0.009 107.806 0.000 0.376 0.449
redng_0 (lm_V) 0.981 0.009 111.496 0.000 0.396 0.464
g_eta2 =~
flnkr_2 1.000 0.413 0.518
pttrn_2 (lm_R) 1.214 0.011 112.940 0.000 0.501 0.650
pictr_2 (lm_M) 0.600 0.009 64.854 0.000 0.248 0.278
pcvcb_2 (lm_P) 0.930 0.009 107.806 0.000 0.384 0.439
redng_2 (lm_V) 0.981 0.009 111.496 0.000 0.405 0.480
g_eta4 =~
flnkr_4 1.000 0.444 0.559
pttrn_4 (lm_R) 1.214 0.011 112.940 0.000 0.539 0.653
pictr_4 (lm_M) 0.600 0.009 64.854 0.000 0.266 0.251
pcvcb_4 (lm_P) 0.930 0.009 107.806 0.000 0.412 0.447
redng_4 (lm_V) 0.981 0.009 111.496 0.000 0.435 0.472
g_eta6 =~
flnkr_6 1.000 0.497 0.610
pttrn_6 (lm_R) 1.214 0.011 112.940 0.000 0.604 0.704
pictr_6 (lm_M) 0.600 0.009 64.854 0.000 0.298 0.281
pcvcb_6 (lm_P) 0.930 0.009 107.806 0.000 0.462 0.495
redng_6 (lm_V) 0.981 0.009 111.496 0.000 0.488 0.503
g_i =~
g_etaB 1.000 0.958 0.958
g_eta2 1.000 0.938 0.938
g_eta4 1.000 0.873 0.873
g_eta6 1.000 0.779 0.779
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.117 0.117
g_eta4 2.000 0.218 0.218
g_eta6 3.000 0.292 0.292
p_i =~
Ext_c_0 1.000 0.938 0.900
Ext_c_1 1.000 0.938 0.914
Ext_c_2 1.000 0.938 0.924
Ext_c_3 1.000 0.938 0.929
Ext_c_4 1.000 0.938 0.945
Ext_c_5 1.000 0.938 0.939
Ext_c_6 1.000 0.938 0.983
p_s =~
Ext_c_0 0.000 0.000 0.000
Ext_c_1 0.500 0.284 0.276
Ext_c_2 1.000 0.567 0.559
Ext_c_3 1.500 0.851 0.843
Ext_c_4 2.000 1.135 1.144
Ext_c_5 2.500 1.418 1.421
Ext_c_6 3.000 1.702 1.783
p_q =~
Ext_c_0 0.000 0.000 0.000
Ext_c_1 0.250 0.041 0.040
Ext_c_2 1.000 0.165 0.163
Ext_c_3 2.250 0.371 0.368
Ext_c_4 4.000 0.660 0.665
Ext_c_5 6.250 1.031 1.033
Ext_c_6 9.000 1.485 1.556
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i ~
g_i -0.361 0.027 -13.324 0.000 -0.149 -0.149
a_i 0.677 0.014 50.095 0.000 0.557 0.557
p_s ~
g_i 0.176 0.059 3.000 0.003 0.120 0.120
g_s -2.560 0.992 -2.580 0.010 -0.218 -0.218
a_i 0.001 0.015 0.056 0.955 0.001 0.001
a_s 1.455 0.088 16.522 0.000 0.624 0.624
p_q ~
g_i -0.042 0.017 -2.458 0.014 -0.099 -0.099
g_s 0.616 0.286 2.155 0.031 0.181 0.181
a_i -0.013 0.005 -2.762 0.006 -0.061 -0.061
a_s -0.355 0.026 -13.835 0.000 -0.523 -0.523
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.186 0.005 37.245 0.000 0.186 0.563
.asr_nxdp_cmp_4 0.170 0.005 33.031 0.000 0.170 0.504
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.207 0.006 37.617 0.000 0.207 0.588
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.227 0.006 37.000 0.000 0.227 0.471
.asr_wthdp_cm_4 0.206 0.006 33.055 0.000 0.206 0.436
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.225 0.006 35.408 0.000 0.225 0.478
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.282 0.007 41.271 0.000 0.282 0.500
.asr_soma_cmp_4 0.245 0.007 35.382 0.000 0.245 0.438
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.289 0.007 39.563 0.000 0.289 0.511
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.193 0.005 35.360 0.000 0.193 0.437
.asr_thprb_cm_4 0.160 0.005 29.282 0.000 0.160 0.376
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.168 0.005 31.763 0.000 0.168 0.422
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.258 0.005 48.714 0.000 0.258 0.646
.asr_ttprb_cm_4 0.252 0.006 45.095 0.000 0.252 0.603
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.272 0.006 47.759 0.000 0.272 0.670
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.298 0.007 40.843 0.000 0.298 0.478
.asr_rlbrk_cm_4 0.255 0.007 35.286 0.000 0.255 0.424
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.276 0.007 38.101 0.000 0.276 0.481
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.236 0.006 42.242 0.000 0.236 0.544
.asr_ggrss_cm_4 0.212 0.006 38.203 0.000 0.212 0.502
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.240 0.006 41.586 0.000 0.240 0.574
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.495 0.010 51.751 0.000 0.495 0.576
.asr_intr_cmp_4 0.464 0.010 47.812 0.000 0.464 0.545
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.473 0.010 49.497 0.000 0.473 0.582
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.021 0.005 4.218 0.000 0.021 0.054
.asr_soma_cmp_0 0.032 0.005 6.189 0.000 0.032 0.076
.asr_wthdp_cm_2 0.021 0.005 4.294 0.000 0.021 0.054
.asr_soma_cmp_2 0.038 0.005 7.293 0.000 0.038 0.090
.asr_wthdp_cm_4 0.019 0.005 3.808 0.000 0.019 0.051
.asr_soma_cmp_4 0.036 0.005 6.555 0.000 0.036 0.085
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 0.011 0.005 2.261 0.024 0.011 0.028
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.030 0.005 5.799 0.000 0.030 0.069
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.038 0.005 7.213 0.000 0.038 0.093
.asr_soma_cmp_2 0.052 0.006 9.362 0.000 0.052 0.117
.asr_wthdp_cm_4 0.025 0.005 4.805 0.000 0.025 0.063
.asr_soma_cmp_4 0.033 0.006 5.861 0.000 0.033 0.075
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 0.003 0.005 0.620 0.536 0.003 0.008
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.029 0.006 5.238 0.000 0.029 0.065
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.019 0.005 3.485 0.000 0.019 0.045
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.049 0.006 8.485 0.000 0.049 0.108
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.045 0.006 7.980 0.000 0.045 0.110
.asr_soma_cmp_4 0.065 0.006 10.770 0.000 0.065 0.144
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.029 0.006 -4.992 0.000 -0.029 -0.055
.asr_soma_cmp_2 -0.017 0.006 -2.830 0.005 -0.017 -0.032
.asr_soma_cmp_4 -0.032 0.006 -5.209 0.000 -0.032 -0.062
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.011 0.006 -1.939 0.052 -0.011 -0.022
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.012 0.006 -2.010 0.044 -0.012 -0.023
.asr_soma_cmp_4 -0.020 0.006 -3.191 0.001 -0.020 -0.038
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.014 0.006 -2.322 0.020 -0.014 -0.027
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.017 0.006 -2.757 0.006 -0.017 -0.033
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.018 0.006 -2.866 0.004 -0.018 -0.035
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.129 0.007 19.227 0.000 0.129 0.205
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.064 0.006 10.891 0.000 0.064 0.120
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.082 0.006 12.747 0.000 0.082 0.137
.asr_rlbrk_cm_2 0.017 0.006 3.021 0.003 0.017 0.033
.asr_intr_cmp_4 0.090 0.007 13.573 0.000 0.090 0.152
.asr_rlbrk_cm_4 0.025 0.006 4.303 0.000 0.025 0.050
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.091 0.007 13.723 0.000 0.091 0.146
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.043 0.006 7.388 0.000 0.043 0.082
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.133 0.007 20.299 0.000 0.133 0.225
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.037 0.006 6.442 0.000 0.037 0.073
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.104 0.007 15.514 0.000 0.104 0.177
.asr_rlbrk_cm_4 0.035 0.006 6.028 0.000 0.035 0.072
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.093 0.007 13.730 0.000 0.093 0.154
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.049 0.006 8.201 0.000 0.049 0.096
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.099 0.007 15.022 0.000 0.099 0.172
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.039 0.006 6.564 0.000 0.039 0.079
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.134 0.007 19.664 0.000 0.134 0.233
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.056 0.006 9.477 0.000 0.056 0.117
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.117 0.008 15.197 0.000 0.117 0.153
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.065 0.007 8.729 0.000 0.065 0.089
.asr_rlbrk_cm_4 0.070 0.008 9.201 0.000 0.070 0.099
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.070 0.008 9.265 0.000 0.070 0.095
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.109 0.007 14.828 0.000 0.109 0.156
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.068 0.007 9.239 0.000 0.068 0.101
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.083 0.008 10.695 0.000 0.083 0.115
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.075 0.008 9.912 0.000 0.075 0.109
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.107 0.008 14.227 0.000 0.107 0.160
a_i ~~
a_s -0.074 0.005 -15.905 0.000 -0.396 -0.396
.flanker_0 ~~
.flanker_2 0.137 0.007 18.701 0.000 0.137 0.243
.flanker_4 0.097 0.007 12.936 0.000 0.097 0.178
.flanker_6 0.086 0.009 9.232 0.000 0.086 0.160
.flanker_2 ~~
.flanker_4 0.143 0.007 19.723 0.000 0.143 0.318
.flanker_6 0.101 0.008 12.483 0.000 0.101 0.229
.flanker_4 ~~
.flanker_6 0.152 0.009 16.824 0.000 0.152 0.358
.pattern_0 ~~
.pattern_2 0.077 0.005 14.114 0.000 0.077 0.226
.pattern_4 0.043 0.006 7.208 0.000 0.043 0.117
.pattern_6 0.035 0.007 4.945 0.000 0.035 0.099
.pattern_2 ~~
.pattern_4 0.109 0.007 15.825 0.000 0.109 0.296
.pattern_6 0.077 0.008 10.225 0.000 0.077 0.216
.pattern_4 ~~
.pattern_6 0.130 0.009 14.543 0.000 0.130 0.342
.picture_0 ~~
.picture_2 0.252 0.007 33.858 0.000 0.252 0.364
.picture_4 0.257 0.009 28.084 0.000 0.257 0.310
.picture_6 0.282 0.012 23.554 0.000 0.282 0.343
.picture_2 ~~
.picture_4 0.285 0.010 28.065 0.000 0.285 0.325
.picture_6 0.266 0.013 19.867 0.000 0.266 0.306
.picture_4 ~~
.picture_6 0.390 0.016 24.733 0.000 0.390 0.374
.picvocab_0 ~~
.picvocab_2 0.397 0.007 53.210 0.000 0.397 0.676
.picvocab_4 0.400 0.008 50.638 0.000 0.400 0.647
.picvocab_6 0.379 0.009 43.178 0.000 0.379 0.625
.picvocab_2 ~~
.picvocab_4 0.471 0.009 54.016 0.000 0.471 0.726
.picvocab_6 0.458 0.010 47.383 0.000 0.458 0.720
.picvocab_4 ~~
.picvocab_6 0.507 0.010 48.365 0.000 0.507 0.756
.reading_0 ~~
.reading_2 0.403 0.007 54.980 0.000 0.403 0.722
.reading_4 0.407 0.008 50.789 0.000 0.407 0.661
.reading_6 0.416 0.010 43.528 0.000 0.416 0.656
.reading_2 ~~
.reading_4 0.416 0.008 51.285 0.000 0.416 0.692
.reading_6 0.432 0.010 45.250 0.000 0.432 0.698
.reading_4 ~~
.reading_6 0.456 0.011 42.912 0.000 0.456 0.669
.picvocab_0 ~~
.reading_0 0.232 0.006 35.869 0.000 0.232 0.410
.reading_2 0.245 0.007 37.607 0.000 0.245 0.444
.reading_4 0.264 0.007 36.159 0.000 0.264 0.433
.reading_6 0.282 0.009 32.062 0.000 0.282 0.450
.picvocab_2 ~~
.reading_2 0.288 0.007 40.384 0.000 0.288 0.496
.reading_0 ~~
.picvocab_2 0.267 0.007 38.260 0.000 0.267 0.449
.picvocab_2 ~~
.reading_4 0.312 0.008 39.466 0.000 0.312 0.490
.reading_6 0.338 0.010 35.393 0.000 0.338 0.514
.picvocab_4 ~~
.reading_4 0.336 0.009 38.862 0.000 0.336 0.500
.reading_0 ~~
.picvocab_4 0.274 0.007 36.677 0.000 0.274 0.439
.reading_2 ~~
.picvocab_4 0.299 0.008 39.294 0.000 0.299 0.490
.picvocab_4 ~~
.reading_6 0.366 0.010 35.600 0.000 0.366 0.529
.picvocab_6 ~~
.reading_6 0.360 0.011 32.210 0.000 0.360 0.529
.reading_0 ~~
.picvocab_6 0.255 0.009 29.785 0.000 0.255 0.416
.reading_2 ~~
.picvocab_6 0.283 0.009 32.944 0.000 0.283 0.472
.reading_4 ~~
.picvocab_6 0.322 0.010 33.302 0.000 0.322 0.487
g_i ~~
g_s 0.005 0.001 4.227 0.000 0.269 0.269
.p_i ~~
.p_s -0.098 0.011 -9.200 0.000 -0.299 -0.299
.p_q 0.007 0.003 2.069 0.039 0.062 0.062
.p_s ~~
.p_q -0.050 0.005 -9.788 0.000 -0.846 -0.846
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) -0.005 0.004 -1.133 0.257 -0.005 -0.005
.asr___0 (t_AW) 0.003 0.005 0.596 0.551 0.003 0.003
.asr___0 (t_AS) -0.001 0.005 -0.249 0.804 -0.001 -0.001
.asr___0 (t_AP) 0.001 0.005 0.219 0.826 0.001 0.001
.asr___0 (t_AH) 0.000 0.005 0.092 0.927 0.000 0.000
.asr___0 (t_AA) 0.007 0.005 1.276 0.202 0.007 0.007
.asr___0 (t_AR) 0.002 0.005 0.383 0.702 0.002 0.002
.asr___0 (t_AG) -0.000 0.007 -0.027 0.979 -0.000 -0.000
.asr___2 (t_AX) -0.005 0.004 -1.133 0.257 -0.005 -0.005
.asr___2 (t_AW) 0.003 0.005 0.596 0.551 0.003 0.003
.asr___2 (t_AS) -0.001 0.005 -0.249 0.804 -0.001 -0.001
.asr___2 (t_AP) 0.001 0.005 0.219 0.826 0.001 0.001
.asr___2 (t_AH) 0.000 0.005 0.092 0.927 0.000 0.000
.asr___2 (t_AA) 0.007 0.005 1.276 0.202 0.007 0.007
.asr___2 (t_AR) 0.002 0.005 0.383 0.702 0.002 0.002
.asr___2 (t_AG) -0.000 0.007 -0.027 0.979 -0.000 -0.000
.asr___4 (t_AX) -0.005 0.004 -1.133 0.257 -0.005 -0.005
.asr___4 (t_AW) 0.003 0.005 0.596 0.551 0.003 0.003
.asr___4 (t_AS) -0.001 0.005 -0.249 0.804 -0.001 -0.001
.asr___4 (t_AP) 0.001 0.005 0.219 0.826 0.001 0.001
.asr___4 (t_AH) 0.000 0.005 0.092 0.927 0.000 0.000
.asr___4 (t_AA) 0.007 0.005 1.276 0.202 0.007 0.007
.asr___4 (t_AR) 0.002 0.005 0.383 0.702 0.002 0.002
.asr___4 (t_AG) -0.000 0.007 -0.027 0.979 -0.000 -0.000
a_i 0.025 0.008 3.236 0.001 0.032 0.032
a_s -0.023 0.004 -6.494 0.000 -0.097 -0.097
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.flnkr_0 (ta_S) 0.089 0.007 13.188 0.000 0.089 0.097
.flnkr_2 (ta_S) 0.089 0.007 13.188 0.000 0.089 0.112
.flnkr_4 (ta_S) 0.089 0.007 13.188 0.000 0.089 0.112
.flnkr_6 (ta_S) 0.089 0.007 13.188 0.000 0.089 0.109
.pttrn_0 (ta_R) 0.102 0.007 14.069 0.000 0.102 0.134
.pttrn_2 (ta_R) 0.102 0.007 14.069 0.000 0.102 0.132
.pttrn_4 (ta_R) 0.102 0.007 14.069 0.000 0.102 0.124
.pttrn_6 (ta_R) 0.102 0.007 14.069 0.000 0.102 0.119
.pictr_0 (ta_M) 0.046 0.007 6.648 0.000 0.046 0.055
.pictr_2 (ta_M) 0.046 0.007 6.648 0.000 0.046 0.052
.pictr_4 (ta_M) 0.046 0.007 6.648 0.000 0.046 0.044
.pictr_6 (ta_M) 0.046 0.007 6.648 0.000 0.046 0.044
.pcvcb_0 (ta_P) 0.038 0.007 5.666 0.000 0.038 0.046
.pcvcb_2 (ta_P) 0.038 0.007 5.666 0.000 0.038 0.044
.pcvcb_4 (ta_P) 0.038 0.007 5.666 0.000 0.038 0.041
.pcvcb_6 (ta_P) 0.038 0.007 5.666 0.000 0.038 0.041
.redng_0 (ta_V) 0.048 0.007 7.073 0.000 0.048 0.056
.redng_2 (ta_V) 0.048 0.007 7.073 0.000 0.048 0.057
.redng_4 (ta_V) 0.048 0.007 7.073 0.000 0.048 0.052
.redng_6 (ta_V) 0.048 0.007 7.073 0.000 0.048 0.050
g_i -0.642 0.008 -80.089 0.000 -1.659 -1.659
g_s 0.472 0.004 128.330 0.000 9.757 9.757
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
.p_i -0.159 0.019 -8.556 0.000 -0.170 -0.170
.p_s 1.301 0.500 2.602 0.009 2.293 2.293
.p_q -0.327 0.144 -2.273 0.023 -1.981 -1.981
.Ext_c_0 0.000 0.000 0.000
.Ext_c_1 0.000 0.000 0.000
.Ext_c_2 0.000 0.000 0.000
.Ext_c_3 0.000 0.000 0.000
.Ext_c_4 0.000 0.000 0.000
.Ext_c_5 0.000 0.000 0.000
.Ext_c_6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.111 0.007 16.166 0.000 0.157 0.157
.a_eta2 0.179 0.005 37.516 0.000 0.262 0.262
.a_eta4 0.100 0.008 13.214 0.000 0.158 0.158
.asr_nxdp_cmp_0 0.316 0.006 53.179 0.000 0.316 0.309
.asr_wthdp_cm_0 0.486 0.008 62.793 0.000 0.486 0.463
.asr_soma_cmp_0 0.558 0.008 66.517 0.000 0.558 0.555
.asr_thprb_cm_0 0.472 0.007 65.032 0.000 0.472 0.435
.asr_ttprb_cm_0 0.412 0.006 64.331 0.000 0.412 0.414
.asr_rlbrk_cm_0 0.652 0.009 69.322 0.000 0.652 0.598
.asr_ggrss_cm_0 0.439 0.007 63.463 0.000 0.439 0.418
.asr_intr_cmp_0 0.898 0.012 74.817 0.000 0.898 0.841
.asr_nxdp_cmp_2 0.346 0.006 53.493 0.000 0.346 0.336
.asr_wthdp_cm_2 0.481 0.008 60.943 0.000 0.481 0.468
.asr_soma_cmp_2 0.567 0.009 64.681 0.000 0.567 0.566
.asr_thprb_cm_2 0.412 0.007 61.578 0.000 0.412 0.409
.asr_ttprb_cm_2 0.387 0.006 61.199 0.000 0.387 0.407
.asr_rlbrk_cm_2 0.596 0.009 66.273 0.000 0.596 0.584
.asr_ggrss_cm_2 0.427 0.007 61.388 0.000 0.427 0.419
.asr_intr_cmp_2 0.821 0.011 71.971 0.000 0.821 0.833
.asr_nxdp_cmp_4 0.360 0.007 50.868 0.000 0.360 0.362
.asr_wthdp_cm_4 0.462 0.008 57.103 0.000 0.462 0.477
.asr_soma_cmp_4 0.561 0.009 60.451 0.000 0.561 0.582
.asr_thprb_cm_4 0.384 0.007 56.998 0.000 0.384 0.410
.asr_ttprb_cm_4 0.425 0.007 58.492 0.000 0.425 0.448
.asr_rlbrk_cm_4 0.554 0.009 61.496 0.000 0.554 0.584
.asr_ggrss_cm_4 0.408 0.007 57.278 0.000 0.408 0.426
.asr_intr_cmp_4 0.805 0.012 67.678 0.000 0.805 0.841
a_i 0.595 0.013 47.516 0.000 1.000 1.000
a_s 0.059 0.003 17.122 0.000 1.000 1.000
.g_etaB 0.013 0.002 5.907 0.000 0.082 0.082
.g_eta2 0.008 0.002 5.056 0.000 0.047 0.047
.g_eta4 0.017 0.002 8.242 0.000 0.088 0.088
.g_eta6 0.046 0.004 11.567 0.000 0.186 0.186
.flanker_0 0.683 0.010 68.024 0.000 0.683 0.807
.flanker_2 0.465 0.009 54.388 0.000 0.465 0.732
.flanker_4 0.434 0.009 49.457 0.000 0.434 0.688
.flanker_6 0.417 0.011 38.662 0.000 0.417 0.628
.pattern_0 0.341 0.006 52.897 0.000 0.341 0.586
.pattern_2 0.344 0.008 45.549 0.000 0.344 0.578
.pattern_4 0.390 0.009 43.178 0.000 0.390 0.573
.pattern_6 0.370 0.011 33.191 0.000 0.370 0.504
.picture_0 0.652 0.009 73.349 0.000 0.652 0.917
.picture_2 0.732 0.011 69.139 0.000 0.732 0.923
.picture_4 1.054 0.016 66.180 0.000 1.054 0.937
.picture_6 1.034 0.022 47.831 0.000 1.034 0.921
.picvocab_0 0.559 0.008 68.970 0.000 0.559 0.798
.picvocab_2 0.615 0.009 66.209 0.000 0.615 0.807
.picvocab_4 0.683 0.011 63.060 0.000 0.683 0.801
.picvocab_6 0.658 0.013 49.238 0.000 0.658 0.755
.reading_0 0.573 0.008 68.317 0.000 0.573 0.785
.reading_2 0.546 0.008 64.910 0.000 0.546 0.769
.reading_4 0.662 0.011 62.045 0.000 0.662 0.778
.reading_6 0.702 0.015 47.886 0.000 0.702 0.747
g_i 0.150 0.004 35.869 0.000 1.000 1.000
g_s 0.002 0.001 3.682 0.000 1.000 1.000
.p_i 0.587 0.012 48.868 0.000 0.668 0.668
.p_s 0.181 0.017 10.421 0.000 0.563 0.563
.p_q 0.019 0.002 12.011 0.000 0.715 0.715
.Ext_comp_0 0.207 0.007 28.632 0.000 0.207 0.191
.Ext_comp_1 0.277 0.005 57.042 0.000 0.277 0.263
.Ext_comp_2 0.277 0.005 57.071 0.000 0.277 0.269
.Ext_comp_3 0.273 0.005 53.981 0.000 0.273 0.268
.Ext_comp_4 0.249 0.005 52.080 0.000 0.249 0.253
.Ext_comp_5 0.260 0.006 47.011 0.000 0.260 0.261
.Ext_comp_6 0.101 0.008 12.232 0.000 0.101 0.110
R-Square:
Estimate
a_etaB 0.843
a_eta2 0.738
a_eta4 0.842
asr_nxdp_cmp_0 0.691
asr_wthdp_cm_0 0.537
asr_soma_cmp_0 0.445
asr_thprb_cm_0 0.565
asr_ttprb_cm_0 0.586
asr_rlbrk_cm_0 0.402
asr_ggrss_cm_0 0.582
asr_intr_cmp_0 0.159
asr_nxdp_cmp_2 0.664
asr_wthdp_cm_2 0.532
asr_soma_cmp_2 0.434
asr_thprb_cm_2 0.591
asr_ttprb_cm_2 0.593
asr_rlbrk_cm_2 0.416
asr_ggrss_cm_2 0.581
asr_intr_cmp_2 0.167
asr_nxdp_cmp_4 0.638
asr_wthdp_cm_4 0.523
asr_soma_cmp_4 0.418
asr_thprb_cm_4 0.590
asr_ttprb_cm_4 0.552
asr_rlbrk_cm_4 0.416
asr_ggrss_cm_4 0.574
asr_intr_cmp_4 0.159
g_etaB 0.918
g_eta2 0.953
g_eta4 0.912
g_eta6 0.814
flanker_0 0.193
flanker_2 0.268
flanker_4 0.312
flanker_6 0.372
pattern_0 0.414
pattern_2 0.422
pattern_4 0.427
pattern_6 0.496
picture_0 0.083
picture_2 0.077
picture_4 0.063
picture_6 0.079
picvocab_0 0.202
picvocab_2 0.193
picvocab_4 0.199
picvocab_6 0.245
reading_0 0.215
reading_2 0.231
reading_4 0.222
reading_6 0.253
p_i 0.332
p_s 0.437
p_q 0.285
Ext_comp_0 0.809
Ext_comp_1 0.737
Ext_comp_2 0.731
Ext_comp_3 0.732
Ext_comp_4 0.747
Ext_comp_5 0.739
Ext_comp_6 0.890
Ext ~ pp + g model with sex
Children’s Externalizing symptoms (Ext) was regressed on parental psychopathology (pp) and children’s cognitive functioning (g), with sex as a covariate.
model fit
# Add sex as covariate
Ext.pga6.sex.model <- Ext.pga6.model %>%
str_replace_all(
c(
"_i ~ 1" = "_i ~ 1 + dummy_sex",
"_s ~ 1" = "_s ~ 1 + dummy_sex",
"_q ~ 1" = "_q ~ 1 + dummy_sex",
"_i~1" = "_i~1 + dummy_sex",
"_s~1" = "_s~1 + dummy_sex",
"_q~1" = "_q~1 + dummy_sex"
)
)
writeLines(Ext.pga6.sex.model)lavaan(Ext.pga6.sex.model,
data = pga6_wide.allscaled.sex,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = T,
std.lv = T
) %>%
saveRDS("pgcm_Ext_pga6_sex_model.rds")result
readRDS("pgcm_Ext_pga6_sex_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_Ext_pga6_sex_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_Ext_pga6_sex_model.rds"), "cor.lv"))$value [1] 4.82369428 3.81480287 2.44291040 0.93817379 0.61452292 0.56471502
[7] 0.22957333 0.16085155 0.13321057 0.08309506 0.07500923 0.06094003
[13] 0.04180549 0.01669547
readRDS("pgcm_Ext_pga6_sex_result.rds")lavaan 0.6-19 ended normally after 199 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 299
Number of equality constraints 57
Number of observations 11867
Number of missing patterns 710
Model Test User Model:
Test statistic 14404.052
Degrees of freedom 1186
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 322688.448
Degrees of freedom 1326
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.959
Tucker-Lewis Index (TLI) 0.954
Robust Comparative Fit Index (CFI) 0.954
Robust Tucker-Lewis Index (TLI) 0.949
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -523999.437
Loglikelihood unrestricted model (H1) -516797.411
Akaike (AIC) 1048482.874
Bayesian (BIC) 1050269.201
Sample-size adjusted Bayesian (SABIC) 1049500.153
Root Mean Square Error of Approximation:
RMSEA 0.031
90 Percent confidence interval - lower 0.030
90 Percent confidence interval - upper 0.031
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.037
90 Percent confidence interval - lower 0.036
90 Percent confidence interval - upper 0.037
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.049
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.840 0.831
asr___0 (l_AW) 0.894 0.007 126.192 0.000 0.751 0.733
asr___0 (l_AS) 0.796 0.007 111.260 0.000 0.669 0.667
asr___0 (l_AC) 0.933 0.007 124.638 0.000 0.784 0.752
asr___0 (l_AH) 0.908 0.007 130.159 0.000 0.763 0.765
asr___0 (l_AA) 0.788 0.008 98.178 0.000 0.662 0.634
asr___0 (l_AR) 0.930 0.007 124.756 0.000 0.781 0.763
asr___0 (l_AG) 0.491 0.008 59.699 0.000 0.412 0.399
a_eta2 =~
asr___2 1.000 0.827 0.815
asr___2 (l_AW) 0.894 0.007 126.192 0.000 0.740 0.729
asr___2 (l_AS) 0.796 0.007 111.260 0.000 0.659 0.658
asr___2 (l_AC) 0.933 0.007 124.638 0.000 0.772 0.769
asr___2 (l_AH) 0.908 0.007 130.159 0.000 0.751 0.770
asr___2 (l_AA) 0.788 0.008 98.178 0.000 0.652 0.645
asr___2 (l_AR) 0.930 0.007 124.756 0.000 0.769 0.762
asr___2 (l_AG) 0.491 0.008 59.699 0.000 0.406 0.409
a_eta4 =~
asr___4 1.000 0.797 0.799
asr___4 (l_AW) 0.894 0.007 126.192 0.000 0.712 0.724
asr___4 (l_AS) 0.796 0.007 111.260 0.000 0.635 0.646
asr___4 (l_AC) 0.933 0.007 124.638 0.000 0.743 0.768
asr___4 (l_AH) 0.908 0.007 130.159 0.000 0.723 0.743
asr___4 (l_AA) 0.788 0.008 98.178 0.000 0.628 0.645
asr___4 (l_AR) 0.930 0.007 124.756 0.000 0.741 0.758
asr___4 (l_AG) 0.491 0.008 59.699 0.000 0.391 0.399
a_i =~
a_etaB 1.000 0.918 0.918
a_eta2 1.000 0.932 0.932
a_eta4 1.000 0.967 0.967
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.294 0.294
a_eta4 2.000 0.609 0.609
g_etaB =~
flnkr_0 1.000 0.404 0.439
pttrn_0 (lm_R) 1.216 0.011 112.681 0.000 0.491 0.644
pictr_0 (lm_M) 0.600 0.009 64.837 0.000 0.242 0.288
pcvcb_0 (lm_P) 0.930 0.009 107.771 0.000 0.375 0.448
redng_0 (lm_V) 0.981 0.009 111.442 0.000 0.396 0.464
g_eta2 =~
flnkr_2 1.000 0.412 0.517
pttrn_2 (lm_R) 1.216 0.011 112.681 0.000 0.501 0.650
pictr_2 (lm_M) 0.600 0.009 64.837 0.000 0.248 0.278
pcvcb_2 (lm_P) 0.930 0.009 107.771 0.000 0.383 0.439
redng_2 (lm_V) 0.981 0.009 111.442 0.000 0.405 0.480
g_eta4 =~
flnkr_4 1.000 0.443 0.558
pttrn_4 (lm_R) 1.216 0.011 112.681 0.000 0.539 0.654
pictr_4 (lm_M) 0.600 0.009 64.837 0.000 0.266 0.251
pcvcb_4 (lm_P) 0.930 0.009 107.771 0.000 0.412 0.446
redng_4 (lm_V) 0.981 0.009 111.442 0.000 0.435 0.471
g_eta6 =~
flnkr_6 1.000 0.497 0.610
pttrn_6 (lm_R) 1.216 0.011 112.681 0.000 0.604 0.704
pictr_6 (lm_M) 0.600 0.009 64.837 0.000 0.298 0.281
pcvcb_6 (lm_P) 0.930 0.009 107.771 0.000 0.462 0.495
redng_6 (lm_V) 0.981 0.009 111.442 0.000 0.487 0.503
g_i =~
g_etaB 1.000 0.958 0.958
g_eta2 1.000 0.938 0.938
g_eta4 1.000 0.873 0.873
g_eta6 1.000 0.779 0.779
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.117 0.117
g_eta4 2.000 0.217 0.217
g_eta6 3.000 0.291 0.291
p_i =~
Ext_c_0 1.000 0.938 0.900
Ext_c_1 1.000 0.938 0.914
Ext_c_2 1.000 0.938 0.924
Ext_c_3 1.000 0.938 0.929
Ext_c_4 1.000 0.938 0.946
Ext_c_5 1.000 0.938 0.940
Ext_c_6 1.000 0.938 0.982
p_s =~
Ext_c_0 0.000 0.000 0.000
Ext_c_1 0.500 0.284 0.276
Ext_c_2 1.000 0.567 0.559
Ext_c_3 1.500 0.851 0.843
Ext_c_4 2.000 1.134 1.143
Ext_c_5 2.500 1.418 1.420
Ext_c_6 3.000 1.701 1.782
p_q =~
Ext_c_0 0.000 0.000 0.000
Ext_c_1 0.250 0.041 0.040
Ext_c_2 1.000 0.165 0.162
Ext_c_3 2.250 0.371 0.367
Ext_c_4 4.000 0.659 0.665
Ext_c_5 6.250 1.030 1.032
Ext_c_6 9.000 1.484 1.554
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_i ~
dummy_sex 0.031 0.016 1.933 0.053 0.040 0.020
a_s ~
dummy_sex -0.014 0.007 -1.925 0.054 -0.057 -0.029
g_i ~
dummy_sex -0.040 0.009 -4.349 0.000 -0.104 -0.052
g_s ~
dummy_sex 0.004 0.003 1.218 0.223 0.087 0.044
p_i ~
dummy_sex 0.215 0.017 12.729 0.000 0.229 0.115
p_s ~
dummy_sex -0.009 0.021 -0.440 0.660 -0.016 -0.008
p_q ~
dummy_sex -0.013 0.006 -1.996 0.046 -0.078 -0.039
p_i ~
g_i -0.348 0.027 -12.915 0.000 -0.143 -0.143
a_i 0.675 0.013 50.287 0.000 0.555 0.555
p_s ~
g_i 0.180 0.061 2.943 0.003 0.123 0.123
g_s -2.650 1.032 -2.569 0.010 -0.225 -0.225
a_i 0.001 0.015 0.088 0.930 0.002 0.002
a_s 1.460 0.088 16.522 0.000 0.625 0.625
p_q ~
g_i -0.044 0.018 -2.498 0.013 -0.104 -0.104
g_s 0.646 0.297 2.177 0.029 0.189 0.189
a_i -0.013 0.005 -2.770 0.006 -0.061 -0.061
a_s -0.356 0.026 -13.851 0.000 -0.525 -0.525
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.186 0.005 37.264 0.000 0.186 0.563
.asr_nxdp_cmp_4 0.170 0.005 33.048 0.000 0.170 0.504
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.208 0.006 37.636 0.000 0.208 0.588
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.227 0.006 36.998 0.000 0.227 0.470
.asr_wthdp_cm_4 0.206 0.006 33.037 0.000 0.206 0.436
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.225 0.006 35.398 0.000 0.225 0.477
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.282 0.007 41.273 0.000 0.282 0.500
.asr_soma_cmp_4 0.245 0.007 35.387 0.000 0.245 0.438
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.289 0.007 39.565 0.000 0.289 0.511
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.193 0.005 35.349 0.000 0.193 0.437
.asr_thprb_cm_4 0.160 0.005 29.270 0.000 0.160 0.376
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.168 0.005 31.746 0.000 0.168 0.422
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.258 0.005 48.734 0.000 0.258 0.647
.asr_ttprb_cm_4 0.252 0.006 45.118 0.000 0.252 0.603
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.272 0.006 47.782 0.000 0.272 0.670
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.298 0.007 40.838 0.000 0.298 0.478
.asr_rlbrk_cm_4 0.255 0.007 35.275 0.000 0.255 0.424
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.276 0.007 38.091 0.000 0.276 0.481
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.236 0.006 42.246 0.000 0.236 0.545
.asr_ggrss_cm_4 0.212 0.006 38.206 0.000 0.212 0.502
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.240 0.006 41.587 0.000 0.240 0.574
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.495 0.010 51.751 0.000 0.495 0.576
.asr_intr_cmp_4 0.464 0.010 47.813 0.000 0.464 0.545
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.473 0.010 49.498 0.000 0.473 0.582
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.021 0.005 4.211 0.000 0.021 0.054
.asr_soma_cmp_0 0.032 0.005 6.195 0.000 0.032 0.077
.asr_wthdp_cm_2 0.021 0.005 4.299 0.000 0.021 0.054
.asr_soma_cmp_2 0.038 0.005 7.296 0.000 0.038 0.090
.asr_wthdp_cm_4 0.019 0.005 3.791 0.000 0.019 0.050
.asr_soma_cmp_4 0.036 0.005 6.566 0.000 0.036 0.085
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 0.011 0.005 2.263 0.024 0.011 0.028
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.031 0.005 5.810 0.000 0.031 0.070
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.038 0.005 7.225 0.000 0.038 0.094
.asr_soma_cmp_2 0.052 0.006 9.372 0.000 0.052 0.118
.asr_wthdp_cm_4 0.025 0.005 4.797 0.000 0.025 0.063
.asr_soma_cmp_4 0.033 0.006 5.878 0.000 0.033 0.075
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 0.003 0.005 0.614 0.539 0.003 0.008
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.029 0.006 5.249 0.000 0.029 0.065
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.019 0.005 3.492 0.000 0.019 0.045
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.049 0.006 8.492 0.000 0.049 0.108
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.045 0.006 7.965 0.000 0.045 0.109
.asr_soma_cmp_4 0.065 0.006 10.785 0.000 0.065 0.144
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.029 0.006 -5.006 0.000 -0.029 -0.055
.asr_soma_cmp_2 -0.017 0.006 -2.842 0.004 -0.017 -0.032
.asr_soma_cmp_4 -0.032 0.006 -5.218 0.000 -0.032 -0.062
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.011 0.006 -1.942 0.052 -0.011 -0.022
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.012 0.006 -2.012 0.044 -0.012 -0.023
.asr_soma_cmp_4 -0.020 0.006 -3.190 0.001 -0.020 -0.038
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.014 0.006 -2.339 0.019 -0.014 -0.027
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.017 0.006 -2.776 0.006 -0.017 -0.033
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.018 0.006 -2.882 0.004 -0.018 -0.035
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.129 0.007 19.229 0.000 0.129 0.205
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.064 0.006 10.880 0.000 0.064 0.120
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.082 0.006 12.746 0.000 0.082 0.137
.asr_rlbrk_cm_2 0.017 0.006 3.014 0.003 0.017 0.033
.asr_intr_cmp_4 0.090 0.007 13.577 0.000 0.090 0.152
.asr_rlbrk_cm_4 0.025 0.006 4.296 0.000 0.025 0.050
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.091 0.007 13.720 0.000 0.091 0.146
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.043 0.006 7.374 0.000 0.043 0.082
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.133 0.007 20.294 0.000 0.133 0.225
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.037 0.006 6.428 0.000 0.037 0.073
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.104 0.007 15.515 0.000 0.104 0.177
.asr_rlbrk_cm_4 0.035 0.006 6.017 0.000 0.035 0.072
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.093 0.007 13.729 0.000 0.093 0.154
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.049 0.006 8.184 0.000 0.049 0.095
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.099 0.007 15.019 0.000 0.099 0.172
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.039 0.006 6.547 0.000 0.039 0.078
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.134 0.007 19.666 0.000 0.134 0.233
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.056 0.006 9.465 0.000 0.056 0.117
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.117 0.008 15.193 0.000 0.117 0.153
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.065 0.007 8.724 0.000 0.065 0.089
.asr_rlbrk_cm_4 0.070 0.008 9.197 0.000 0.070 0.099
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.070 0.008 9.259 0.000 0.070 0.095
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.109 0.007 14.821 0.000 0.109 0.155
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.068 0.007 9.233 0.000 0.068 0.101
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.083 0.008 10.691 0.000 0.083 0.115
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.075 0.008 9.908 0.000 0.075 0.109
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.107 0.008 14.225 0.000 0.107 0.160
.a_i ~~
.a_s -0.074 0.005 -15.859 0.000 -0.395 -0.395
.flanker_0 ~~
.flanker_2 0.138 0.007 18.776 0.000 0.138 0.244
.flanker_4 0.098 0.007 13.031 0.000 0.098 0.179
.flanker_6 0.086 0.009 9.308 0.000 0.086 0.162
.flanker_2 ~~
.flanker_4 0.144 0.007 19.785 0.000 0.144 0.320
.flanker_6 0.102 0.008 12.547 0.000 0.102 0.231
.flanker_4 ~~
.flanker_6 0.152 0.009 16.848 0.000 0.152 0.358
.pattern_0 ~~
.pattern_2 0.076 0.005 13.919 0.000 0.076 0.223
.pattern_4 0.042 0.006 7.025 0.000 0.042 0.115
.pattern_6 0.034 0.007 4.825 0.000 0.034 0.097
.pattern_2 ~~
.pattern_4 0.108 0.007 15.649 0.000 0.108 0.294
.pattern_6 0.076 0.008 10.105 0.000 0.076 0.214
.pattern_4 ~~
.pattern_6 0.129 0.009 14.447 0.000 0.129 0.341
.picture_0 ~~
.picture_2 0.251 0.007 33.851 0.000 0.251 0.364
.picture_4 0.257 0.009 28.078 0.000 0.257 0.310
.picture_6 0.281 0.012 23.528 0.000 0.281 0.343
.picture_2 ~~
.picture_4 0.285 0.010 28.061 0.000 0.285 0.325
.picture_6 0.266 0.013 19.853 0.000 0.266 0.306
.picture_4 ~~
.picture_6 0.390 0.016 24.731 0.000 0.390 0.374
.picvocab_0 ~~
.picvocab_2 0.397 0.007 53.215 0.000 0.397 0.677
.picvocab_4 0.400 0.008 50.636 0.000 0.400 0.647
.picvocab_6 0.380 0.009 43.191 0.000 0.380 0.625
.picvocab_2 ~~
.picvocab_4 0.471 0.009 53.999 0.000 0.471 0.727
.picvocab_6 0.458 0.010 47.377 0.000 0.458 0.720
.picvocab_4 ~~
.picvocab_6 0.507 0.010 48.353 0.000 0.507 0.756
.reading_0 ~~
.reading_2 0.404 0.007 54.986 0.000 0.404 0.722
.reading_4 0.407 0.008 50.789 0.000 0.407 0.661
.reading_6 0.416 0.010 43.542 0.000 0.416 0.656
.reading_2 ~~
.reading_4 0.416 0.008 51.280 0.000 0.416 0.692
.reading_6 0.432 0.010 45.255 0.000 0.432 0.698
.reading_4 ~~
.reading_6 0.456 0.011 42.917 0.000 0.456 0.669
.picvocab_0 ~~
.reading_0 0.233 0.006 35.910 0.000 0.233 0.411
.reading_2 0.246 0.007 37.636 0.000 0.246 0.445
.reading_4 0.264 0.007 36.169 0.000 0.264 0.434
.reading_6 0.282 0.009 32.076 0.000 0.282 0.451
.picvocab_2 ~~
.reading_2 0.288 0.007 40.403 0.000 0.288 0.497
.reading_0 ~~
.picvocab_2 0.267 0.007 38.298 0.000 0.267 0.450
.picvocab_2 ~~
.reading_4 0.313 0.008 39.466 0.000 0.313 0.490
.reading_6 0.338 0.010 35.396 0.000 0.338 0.514
.picvocab_4 ~~
.reading_4 0.337 0.009 38.862 0.000 0.337 0.500
.reading_0 ~~
.picvocab_4 0.275 0.007 36.706 0.000 0.275 0.439
.reading_2 ~~
.picvocab_4 0.299 0.008 39.307 0.000 0.299 0.490
.picvocab_4 ~~
.reading_6 0.366 0.010 35.602 0.000 0.366 0.529
.picvocab_6 ~~
.reading_6 0.360 0.011 32.211 0.000 0.360 0.529
.reading_0 ~~
.picvocab_6 0.256 0.009 29.826 0.000 0.256 0.417
.reading_2 ~~
.picvocab_6 0.284 0.009 32.967 0.000 0.284 0.473
.reading_4 ~~
.picvocab_6 0.322 0.010 33.313 0.000 0.322 0.488
.g_i ~~
.g_s 0.005 0.001 4.285 0.000 0.274 0.274
.p_i ~~
.p_s -0.096 0.011 -9.083 0.000 -0.298 -0.298
.p_q 0.007 0.003 2.198 0.028 0.067 0.067
.p_s ~~
.p_q -0.050 0.005 -9.617 0.000 -0.846 -0.846
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) 0.003 0.004 0.641 0.521 0.003 0.003
.asr___0 (t_AW) 0.010 0.005 1.959 0.050 0.010 0.010
.asr___0 (t_AS) 0.005 0.005 0.869 0.385 0.005 0.005
.asr___0 (t_AP) 0.008 0.005 1.742 0.082 0.008 0.008
.asr___0 (t_AH) 0.007 0.005 1.482 0.138 0.007 0.007
.asr___0 (t_AA) 0.013 0.005 2.370 0.018 0.013 0.012
.asr___0 (t_AR) 0.009 0.005 1.892 0.058 0.009 0.009
.asr___0 (t_AG) 0.004 0.007 0.508 0.611 0.004 0.003
.asr___2 (t_AX) 0.003 0.004 0.641 0.521 0.003 0.003
.asr___2 (t_AW) 0.010 0.005 1.959 0.050 0.010 0.010
.asr___2 (t_AS) 0.005 0.005 0.869 0.385 0.005 0.005
.asr___2 (t_AP) 0.008 0.005 1.742 0.082 0.008 0.008
.asr___2 (t_AH) 0.007 0.005 1.482 0.138 0.007 0.008
.asr___2 (t_AA) 0.013 0.005 2.370 0.018 0.013 0.013
.asr___2 (t_AR) 0.009 0.005 1.892 0.058 0.009 0.009
.asr___2 (t_AG) 0.004 0.007 0.508 0.611 0.004 0.004
.asr___4 (t_AX) 0.003 0.004 0.641 0.521 0.003 0.003
.asr___4 (t_AW) 0.010 0.005 1.959 0.050 0.010 0.010
.asr___4 (t_AS) 0.005 0.005 0.869 0.385 0.005 0.005
.asr___4 (t_AP) 0.008 0.005 1.742 0.082 0.008 0.008
.asr___4 (t_AH) 0.007 0.005 1.482 0.138 0.007 0.008
.asr___4 (t_AA) 0.013 0.005 2.370 0.018 0.013 0.013
.asr___4 (t_AR) 0.009 0.005 1.892 0.058 0.009 0.009
.asr___4 (t_AG) 0.004 0.007 0.508 0.611 0.004 0.004
.a_i 0.001 0.011 0.085 0.932 0.001 0.001
.a_s -0.016 0.005 -3.088 0.002 -0.067 -0.067
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.flnkr_0 (ta_S) 0.093 0.007 13.407 0.000 0.093 0.101
.flnkr_2 (ta_S) 0.093 0.007 13.407 0.000 0.093 0.117
.flnkr_4 (ta_S) 0.093 0.007 13.407 0.000 0.093 0.117
.flnkr_6 (ta_S) 0.093 0.007 13.407 0.000 0.093 0.115
.pttrn_0 (ta_R) 0.108 0.008 14.224 0.000 0.108 0.141
.pttrn_2 (ta_R) 0.108 0.008 14.224 0.000 0.108 0.140
.pttrn_4 (ta_R) 0.108 0.008 14.224 0.000 0.108 0.131
.pttrn_6 (ta_R) 0.108 0.008 14.224 0.000 0.108 0.126
.pictr_0 (ta_M) 0.049 0.007 6.949 0.000 0.049 0.058
.pictr_2 (ta_M) 0.049 0.007 6.949 0.000 0.049 0.055
.pictr_4 (ta_M) 0.049 0.007 6.949 0.000 0.049 0.046
.pictr_6 (ta_M) 0.049 0.007 6.949 0.000 0.049 0.046
.pcvcb_0 (ta_P) 0.042 0.007 6.097 0.000 0.042 0.051
.pcvcb_2 (ta_P) 0.042 0.007 6.097 0.000 0.042 0.048
.pcvcb_4 (ta_P) 0.042 0.007 6.097 0.000 0.042 0.046
.pcvcb_6 (ta_P) 0.042 0.007 6.097 0.000 0.042 0.045
.redng_0 (ta_V) 0.052 0.007 7.476 0.000 0.052 0.061
.redng_2 (ta_V) 0.052 0.007 7.476 0.000 0.052 0.062
.redng_4 (ta_V) 0.052 0.007 7.476 0.000 0.052 0.057
.redng_6 (ta_V) 0.052 0.007 7.476 0.000 0.052 0.054
.g_i -0.625 0.009 -66.294 0.000 -1.617 -1.617
.g_s 0.470 0.004 115.439 0.000 9.757 9.757
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
.p_i -0.260 0.020 -12.943 0.000 -0.277 -0.277
.p_s 1.350 0.517 2.613 0.009 2.381 2.381
.p_q -0.336 0.149 -2.263 0.024 -2.040 -2.040
.Ext_c_0 0.000 0.000 0.000
.Ext_c_1 0.000 0.000 0.000
.Ext_c_2 0.000 0.000 0.000
.Ext_c_3 0.000 0.000 0.000
.Ext_c_4 0.000 0.000 0.000
.Ext_c_5 0.000 0.000 0.000
.Ext_c_6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.112 0.007 16.270 0.000 0.158 0.158
.a_eta2 0.179 0.005 37.523 0.000 0.261 0.261
.a_eta4 0.101 0.008 13.265 0.000 0.158 0.158
.asr_nxdp_cmp_0 0.316 0.006 53.193 0.000 0.316 0.309
.asr_wthdp_cm_0 0.486 0.008 62.793 0.000 0.486 0.463
.asr_soma_cmp_0 0.558 0.008 66.521 0.000 0.558 0.555
.asr_thprb_cm_0 0.472 0.007 65.033 0.000 0.472 0.435
.asr_ttprb_cm_0 0.412 0.006 64.345 0.000 0.412 0.414
.asr_rlbrk_cm_0 0.652 0.009 69.319 0.000 0.652 0.598
.asr_ggrss_cm_0 0.439 0.007 63.469 0.000 0.439 0.418
.asr_intr_cmp_0 0.898 0.012 74.818 0.000 0.898 0.841
.asr_nxdp_cmp_2 0.346 0.006 53.509 0.000 0.346 0.336
.asr_wthdp_cm_2 0.481 0.008 60.949 0.000 0.481 0.468
.asr_soma_cmp_2 0.567 0.009 64.684 0.000 0.567 0.567
.asr_thprb_cm_2 0.412 0.007 61.572 0.000 0.412 0.409
.asr_ttprb_cm_2 0.387 0.006 61.214 0.000 0.387 0.407
.asr_rlbrk_cm_2 0.596 0.009 66.273 0.000 0.596 0.584
.asr_ggrss_cm_2 0.427 0.007 61.389 0.000 0.427 0.419
.asr_intr_cmp_2 0.821 0.011 71.972 0.000 0.821 0.833
.asr_nxdp_cmp_4 0.360 0.007 50.880 0.000 0.360 0.362
.asr_wthdp_cm_4 0.462 0.008 57.093 0.000 0.462 0.476
.asr_soma_cmp_4 0.561 0.009 60.455 0.000 0.561 0.582
.asr_thprb_cm_4 0.384 0.007 56.993 0.000 0.384 0.410
.asr_ttprb_cm_4 0.425 0.007 58.509 0.000 0.425 0.448
.asr_rlbrk_cm_4 0.554 0.009 61.492 0.000 0.554 0.584
.asr_ggrss_cm_4 0.407 0.007 57.281 0.000 0.407 0.426
.asr_intr_cmp_4 0.805 0.012 67.679 0.000 0.805 0.841
.a_i 0.594 0.013 47.512 0.000 1.000 1.000
.a_s 0.059 0.003 17.091 0.000 0.999 0.999
.g_etaB 0.013 0.002 5.944 0.000 0.082 0.082
.g_eta2 0.008 0.002 5.043 0.000 0.046 0.046
.g_eta4 0.017 0.002 8.244 0.000 0.088 0.088
.g_eta6 0.046 0.004 11.572 0.000 0.186 0.186
.flanker_0 0.684 0.010 68.024 0.000 0.684 0.808
.flanker_2 0.466 0.009 54.394 0.000 0.466 0.733
.flanker_4 0.434 0.009 49.419 0.000 0.434 0.689
.flanker_6 0.417 0.011 38.668 0.000 0.417 0.628
.pattern_0 0.340 0.006 52.705 0.000 0.340 0.585
.pattern_2 0.343 0.008 45.392 0.000 0.343 0.577
.pattern_4 0.389 0.009 43.013 0.000 0.389 0.573
.pattern_6 0.370 0.011 33.118 0.000 0.370 0.504
.picture_0 0.652 0.009 73.347 0.000 0.652 0.917
.picture_2 0.732 0.011 69.139 0.000 0.732 0.923
.picture_4 1.054 0.016 66.180 0.000 1.054 0.937
.picture_6 1.034 0.022 47.824 0.000 1.034 0.921
.picvocab_0 0.560 0.008 68.946 0.000 0.560 0.799
.picvocab_2 0.616 0.009 66.192 0.000 0.616 0.807
.picvocab_4 0.683 0.011 63.034 0.000 0.683 0.801
.picvocab_6 0.659 0.013 49.228 0.000 0.659 0.755
.reading_0 0.573 0.008 68.309 0.000 0.573 0.785
.reading_2 0.547 0.008 64.902 0.000 0.547 0.770
.reading_4 0.662 0.011 62.033 0.000 0.662 0.778
.reading_6 0.702 0.015 47.885 0.000 0.702 0.747
.g_i 0.149 0.004 35.766 0.000 0.997 0.997
.g_s 0.002 0.001 3.638 0.000 0.998 0.998
.p_i 0.575 0.012 48.515 0.000 0.654 0.654
.p_s 0.180 0.018 10.224 0.000 0.558 0.558
.p_q 0.019 0.002 11.815 0.000 0.711 0.711
.Ext_comp_0 0.207 0.007 28.710 0.000 0.207 0.191
.Ext_comp_1 0.277 0.005 57.132 0.000 0.277 0.263
.Ext_comp_2 0.277 0.005 57.105 0.000 0.277 0.269
.Ext_comp_3 0.273 0.005 53.989 0.000 0.273 0.268
.Ext_comp_4 0.249 0.005 52.081 0.000 0.249 0.253
.Ext_comp_5 0.260 0.006 47.014 0.000 0.260 0.261
.Ext_comp_6 0.101 0.008 12.277 0.000 0.101 0.111
R-Square:
Estimate
a_etaB 0.842
a_eta2 0.739
a_eta4 0.842
asr_nxdp_cmp_0 0.691
asr_wthdp_cm_0 0.537
asr_soma_cmp_0 0.445
asr_thprb_cm_0 0.565
asr_ttprb_cm_0 0.586
asr_rlbrk_cm_0 0.402
asr_ggrss_cm_0 0.582
asr_intr_cmp_0 0.159
asr_nxdp_cmp_2 0.664
asr_wthdp_cm_2 0.532
asr_soma_cmp_2 0.433
asr_thprb_cm_2 0.591
asr_ttprb_cm_2 0.593
asr_rlbrk_cm_2 0.416
asr_ggrss_cm_2 0.581
asr_intr_cmp_2 0.167
asr_nxdp_cmp_4 0.638
asr_wthdp_cm_4 0.524
asr_soma_cmp_4 0.418
asr_thprb_cm_4 0.590
asr_ttprb_cm_4 0.552
asr_rlbrk_cm_4 0.416
asr_ggrss_cm_4 0.574
asr_intr_cmp_4 0.159
a_i 0.000
a_s 0.001
g_etaB 0.918
g_eta2 0.954
g_eta4 0.912
g_eta6 0.814
flanker_0 0.192
flanker_2 0.267
flanker_4 0.311
flanker_6 0.372
pattern_0 0.415
pattern_2 0.423
pattern_4 0.427
pattern_6 0.496
picture_0 0.083
picture_2 0.077
picture_4 0.063
picture_6 0.079
picvocab_0 0.201
picvocab_2 0.193
picvocab_4 0.199
picvocab_6 0.245
reading_0 0.215
reading_2 0.230
reading_4 0.222
reading_6 0.253
g_i 0.003
g_s 0.002
p_i 0.346
p_s 0.442
p_q 0.289
Ext_comp_0 0.809
Ext_comp_1 0.737
Ext_comp_2 0.731
Ext_comp_3 0.732
Ext_comp_4 0.747
Ext_comp_5 0.739
Ext_comp_6 0.889
Internalizing Symptoms
Int ~ pp + g model
Children’s Internalizing symptoms (Int) was regressed on parental psychopathology (pp) and children’s cognitive functioning (g).
model fit
Int.pga6.model <- "# second-order pp factor
#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#observed variable intercepts
asr_anxdep_comp_0~tau_AX*1
asr_withdep_comp_0~tau_AW*1
asr_soma_comp_0~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_attprob_comp_0~tau_AH*1
asr_rulebreak_comp_0~tau_AA*1
asr_aggress_comp_0~tau_AR*1
asr_intru_comp_0~tau_AG*1
asr_anxdep_comp_2~tau_AX*1
asr_withdep_comp_2~tau_AW*1
asr_soma_comp_2~tau_AS*1
asr_thouprob_comp_2~tau_AP*1
asr_attprob_comp_2~tau_AH*1
asr_rulebreak_comp_2~tau_AA*1
asr_aggress_comp_2~tau_AR*1
asr_intru_comp_2~tau_AG*1
asr_anxdep_comp_4~tau_AX*1
asr_withdep_comp_4~tau_AW*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_4~tau_AP*1
asr_attprob_comp_4~tau_AH*1
asr_rulebreak_comp_4~tau_AA*1
asr_aggress_comp_4~tau_AR*1
asr_intru_comp_4~tau_AG*1
#latent basis model
a_i =~ 1*a_etaB+1*a_eta2+1*a_eta4
a_s =~ 0*a_etaB+1*a_eta2+2*a_eta4
a_i~~NA*a_i
a_s~~NA*a_s
a_i~~a_s
a_i~1
a_s~1
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
# second-order g factor
#factor loadings # S & S2
g_etaB =~ 1*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ 1*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ 1*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ 1*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances
g_etaB~~NA*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1
#latent basis model
g_i =~ 1*g_etaB + 1*g_eta2 + 1*g_eta4 + 1*g_eta6
g_s =~ 0*g_etaB + 1*g_eta2 + 2*g_eta4 + 3*g_eta6
g_i~~NA*g_i
g_s~~NA*g_s
g_i~~g_s
g_i~1
g_s~1
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
# Internalizing model
p_i =~ 1*Int_comp_0 + 1*Int_comp_1 + 1*Int_comp_2 + 1*Int_comp_3 + 1*Int_comp_4 + 1*Int_comp_5 + 1*Int_comp_6
p_s =~ 0*Int_comp_0 + .5*Int_comp_1 + 1*Int_comp_2 + 1.5*Int_comp_3 + 2*Int_comp_4 + 2.5*Int_comp_5 + 3*Int_comp_6
p_q =~ 0*Int_comp_0 + .25*Int_comp_1 + 1*Int_comp_2 + 2.25*Int_comp_3 + 4*Int_comp_4 + 6.25*Int_comp_5 + 9*Int_comp_6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1
p_s~1
p_q~1
Int_comp_0 ~~ NA*Int_comp_0
Int_comp_1 ~~ NA*Int_comp_1
Int_comp_2 ~~ NA*Int_comp_2
Int_comp_3 ~~ NA*Int_comp_3
Int_comp_4 ~~ NA*Int_comp_4
Int_comp_5 ~~ NA*Int_comp_5
Int_comp_6 ~~ NA*Int_comp_6
Int_comp_0 ~ 0*1
Int_comp_1 ~ 0*1
Int_comp_2 ~ 0*1
Int_comp_3 ~ 0*1
Int_comp_4 ~ 0*1
Int_comp_5 ~ 0*1
Int_comp_6 ~ 0*1
# regression
p_i ~ g_i + a_i
p_s ~ g_i + g_s + a_i + a_s
p_q ~ g_i + g_s + a_i + a_s"lavaan(Int.pga6.model,
data = readRDS("pga6_all_data.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = FALSE,
std.lv = T
) %>%
saveRDS("pgcm_Int_pga6_model.rds")result
readRDS("pgcm_Int_pga6_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_Int_pga6_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_Int_pga6_model.rds"), "cor.lv"))$value [1] 4.75753136 3.87711426 2.42842968 0.95273967 0.67701135 0.50477867
[7] 0.22765339 0.15797176 0.12871307 0.09200984 0.07980981 0.05965170
[13] 0.04001518 0.01657026
readRDS("pgcm_Int_pga6_result.rds")lavaan 0.6-19 ended normally after 201 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 292
Number of equality constraints 57
Used Total
Number of observations 11866 11867
Number of missing patterns 705
Model Test User Model:
Test statistic 14365.183
Degrees of freedom 1142
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 316779.323
Degrees of freedom 1275
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.958
Tucker-Lewis Index (TLI) 0.953
Robust Comparative Fit Index (CFI) 0.953
Robust Tucker-Lewis Index (TLI) 0.948
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -526727.637
Loglikelihood unrestricted model (H1) -519545.045
Akaike (AIC) 1053925.274
Bayesian (BIC) 1055659.910
Sample-size adjusted Bayesian (SABIC) 1054913.107
Root Mean Square Error of Approximation:
RMSEA 0.031
90 Percent confidence interval - lower 0.031
90 Percent confidence interval - upper 0.032
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.038
90 Percent confidence interval - lower 0.037
90 Percent confidence interval - upper 0.038
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.050
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.851 0.843
asr___0 (l_AW) 0.888 0.007 127.151 0.000 0.755 0.737
asr___0 (l_AS) 0.799 0.007 112.969 0.000 0.680 0.680
asr___0 (l_AC) 0.914 0.007 125.318 0.000 0.778 0.746
asr___0 (l_AH) 0.897 0.007 131.589 0.000 0.763 0.766
asr___0 (l_AA) 0.763 0.008 97.371 0.000 0.649 0.621
asr___0 (l_AR) 0.905 0.007 125.094 0.000 0.770 0.751
asr___0 (l_AG) 0.476 0.008 59.057 0.000 0.405 0.392
a_eta2 =~
asr___2 1.000 0.839 0.828
asr___2 (l_AW) 0.888 0.007 127.151 0.000 0.745 0.734
asr___2 (l_AS) 0.799 0.007 112.969 0.000 0.671 0.671
asr___2 (l_AC) 0.914 0.007 125.318 0.000 0.767 0.765
asr___2 (l_AH) 0.897 0.007 131.589 0.000 0.753 0.772
asr___2 (l_AA) 0.763 0.008 97.371 0.000 0.640 0.634
asr___2 (l_AR) 0.905 0.007 125.094 0.000 0.760 0.751
asr___2 (l_AG) 0.476 0.008 59.057 0.000 0.399 0.402
a_eta4 =~
asr___4 1.000 0.809 0.814
asr___4 (l_AW) 0.888 0.007 127.151 0.000 0.718 0.730
asr___4 (l_AS) 0.799 0.007 112.969 0.000 0.647 0.660
asr___4 (l_AC) 0.914 0.007 125.318 0.000 0.740 0.763
asr___4 (l_AH) 0.897 0.007 131.589 0.000 0.726 0.746
asr___4 (l_AA) 0.763 0.008 97.371 0.000 0.617 0.633
asr___4 (l_AR) 0.905 0.007 125.094 0.000 0.732 0.746
asr___4 (l_AG) 0.476 0.008 59.057 0.000 0.385 0.393
a_i =~
a_etaB 1.000 0.923 0.923
a_eta2 1.000 0.936 0.936
a_eta4 1.000 0.970 0.970
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.299 0.299
a_eta4 2.000 0.621 0.621
g_etaB =~
flnkr_0 1.000 0.403 0.438
pttrn_0 (lm_R) 1.218 0.011 112.699 0.000 0.491 0.646
pictr_0 (lm_M) 0.598 0.009 64.688 0.000 0.241 0.286
pcvcb_0 (lm_P) 0.929 0.009 107.695 0.000 0.375 0.448
redng_0 (lm_V) 0.981 0.009 111.392 0.000 0.396 0.463
g_eta2 =~
flnkr_2 1.000 0.412 0.517
pttrn_2 (lm_R) 1.218 0.011 112.699 0.000 0.502 0.653
pictr_2 (lm_M) 0.598 0.009 64.688 0.000 0.246 0.276
pcvcb_2 (lm_P) 0.929 0.009 107.695 0.000 0.383 0.438
redng_2 (lm_V) 0.981 0.009 111.392 0.000 0.404 0.479
g_eta4 =~
flnkr_4 1.000 0.442 0.557
pttrn_4 (lm_R) 1.218 0.011 112.699 0.000 0.539 0.655
pictr_4 (lm_M) 0.598 0.009 64.688 0.000 0.264 0.249
pcvcb_4 (lm_P) 0.929 0.009 107.695 0.000 0.411 0.444
redng_4 (lm_V) 0.981 0.009 111.392 0.000 0.434 0.470
g_eta6 =~
flnkr_6 1.000 0.495 0.608
pttrn_6 (lm_R) 1.218 0.011 112.699 0.000 0.603 0.706
pictr_6 (lm_M) 0.598 0.009 64.688 0.000 0.296 0.279
pcvcb_6 (lm_P) 0.929 0.009 107.695 0.000 0.460 0.492
redng_6 (lm_V) 0.981 0.009 111.392 0.000 0.485 0.501
g_i =~
g_etaB 1.000 0.962 0.962
g_eta2 1.000 0.941 0.941
g_eta4 1.000 0.878 0.878
g_eta6 1.000 0.784 0.784
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.125 0.125
g_eta4 2.000 0.234 0.234
g_eta6 3.000 0.313 0.313
p_i =~
Int_c_0 1.000 0.804 0.886
Int_c_1 1.000 0.804 0.852
Int_c_2 1.000 0.804 0.824
Int_c_3 1.000 0.804 0.788
Int_c_4 1.000 0.804 0.759
Int_c_5 1.000 0.804 0.717
Int_c_6 1.000 0.804 0.702
p_s =~
Int_c_0 0.000 0.000 0.000
Int_c_1 0.500 0.310 0.329
Int_c_2 1.000 0.620 0.635
Int_c_3 1.500 0.931 0.911
Int_c_4 2.000 1.241 1.170
Int_c_5 2.500 1.551 1.383
Int_c_6 3.000 1.861 1.624
p_q =~
Int_c_0 0.000 0.000 0.000
Int_c_1 0.250 0.046 0.049
Int_c_2 1.000 0.185 0.189
Int_c_3 2.250 0.416 0.407
Int_c_4 4.000 0.740 0.698
Int_c_5 6.250 1.156 1.030
Int_c_6 9.000 1.664 1.452
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i ~
g_i -0.029 0.022 -1.299 0.194 -0.014 -0.014
a_i 0.673 0.011 59.776 0.000 0.657 0.657
p_s ~
g_i 0.143 0.038 3.714 0.000 0.089 0.089
g_s -0.445 0.588 -0.757 0.449 -0.037 -0.037
a_i 0.089 0.016 5.665 0.000 0.112 0.112
a_s 1.597 0.084 19.084 0.000 0.647 0.647
p_q ~
g_i -0.043 0.014 -3.084 0.002 -0.090 -0.090
g_s 0.233 0.215 1.082 0.279 0.065 0.065
a_i -0.019 0.005 -3.690 0.000 -0.081 -0.081
a_s -0.356 0.025 -14.306 0.000 -0.485 -0.485
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.166 0.005 34.771 0.000 0.166 0.541
.asr_nxdp_cmp_4 0.151 0.005 30.766 0.000 0.151 0.483
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.186 0.005 35.280 0.000 0.186 0.565
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.222 0.006 36.479 0.000 0.222 0.466
.asr_wthdp_cm_4 0.201 0.006 32.573 0.000 0.201 0.432
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.219 0.006 34.774 0.000 0.219 0.472
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.265 0.007 39.930 0.000 0.265 0.488
.asr_soma_cmp_4 0.230 0.007 34.093 0.000 0.230 0.425
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.272 0.007 38.262 0.000 0.272 0.498
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.199 0.005 36.225 0.000 0.199 0.443
.asr_thprb_cm_4 0.167 0.006 30.279 0.000 0.167 0.384
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.175 0.005 32.804 0.000 0.175 0.431
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.256 0.005 48.805 0.000 0.256 0.644
.asr_ttprb_cm_4 0.249 0.006 45.117 0.000 0.249 0.599
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.267 0.006 47.870 0.000 0.267 0.666
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.313 0.007 42.048 0.000 0.313 0.488
.asr_rlbrk_cm_4 0.269 0.007 36.502 0.000 0.269 0.434
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.291 0.007 39.429 0.000 0.291 0.493
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.252 0.006 44.263 0.000 0.252 0.558
.asr_ggrss_cm_4 0.228 0.006 40.143 0.000 0.228 0.515
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.257 0.006 43.699 0.000 0.257 0.590
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.500 0.010 52.017 0.000 0.500 0.578
.asr_intr_cmp_4 0.469 0.010 48.111 0.000 0.469 0.547
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.479 0.010 49.834 0.000 0.479 0.584
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.007 0.005 1.487 0.137 0.007 0.019
.asr_soma_cmp_0 0.011 0.005 2.215 0.027 0.011 0.028
.asr_wthdp_cm_2 0.010 0.005 2.083 0.037 0.010 0.027
.asr_soma_cmp_2 0.020 0.005 3.908 0.000 0.020 0.049
.asr_wthdp_cm_4 0.008 0.005 1.638 0.101 0.008 0.022
.asr_soma_cmp_4 0.019 0.005 3.533 0.000 0.019 0.047
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 -0.001 0.005 -0.164 0.870 -0.001 -0.002
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.013 0.005 2.467 0.014 0.013 0.030
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.024 0.005 4.742 0.000 0.024 0.062
.asr_soma_cmp_2 0.031 0.005 5.856 0.000 0.031 0.075
.asr_wthdp_cm_4 0.011 0.005 2.140 0.032 0.011 0.029
.asr_soma_cmp_4 0.014 0.005 2.600 0.009 0.014 0.034
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 -0.008 0.005 -1.554 0.120 -0.008 -0.020
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.012 0.005 2.329 0.020 0.012 0.029
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.006 0.005 1.223 0.221 0.006 0.016
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.029 0.006 5.284 0.000 0.029 0.068
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.027 0.005 5.038 0.000 0.027 0.070
.asr_soma_cmp_4 0.043 0.006 7.431 0.000 0.043 0.101
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.043 0.006 -7.506 0.000 -0.043 -0.084
.asr_soma_cmp_2 -0.028 0.006 -4.909 0.000 -0.028 -0.055
.asr_soma_cmp_4 -0.043 0.006 -7.050 0.000 -0.043 -0.084
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.022 0.006 -3.847 0.000 -0.022 -0.043
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.025 0.006 -4.217 0.000 -0.025 -0.048
.asr_soma_cmp_4 -0.031 0.006 -5.039 0.000 -0.031 -0.060
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.024 0.006 -4.140 0.000 -0.024 -0.049
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.030 0.006 -4.991 0.000 -0.030 -0.061
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.032 0.006 -5.333 0.000 -0.032 -0.065
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.140 0.007 20.622 0.000 0.140 0.218
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.084 0.006 13.879 0.000 0.084 0.151
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.091 0.007 13.947 0.000 0.091 0.148
.asr_rlbrk_cm_2 0.033 0.006 5.642 0.000 0.033 0.061
.asr_intr_cmp_4 0.100 0.007 14.788 0.000 0.100 0.163
.asr_rlbrk_cm_4 0.040 0.006 6.758 0.000 0.040 0.078
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.100 0.007 14.955 0.000 0.100 0.158
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.059 0.006 9.840 0.000 0.059 0.108
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.144 0.007 21.596 0.000 0.144 0.237
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.054 0.006 9.258 0.000 0.054 0.104
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.115 0.007 16.888 0.000 0.115 0.191
.asr_rlbrk_cm_4 0.052 0.006 8.708 0.000 0.052 0.102
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.103 0.007 14.885 0.000 0.103 0.165
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.064 0.006 10.417 0.000 0.064 0.119
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.109 0.007 16.291 0.000 0.109 0.184
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.055 0.006 9.118 0.000 0.055 0.107
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.146 0.007 21.189 0.000 0.146 0.248
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.074 0.006 12.393 0.000 0.074 0.150
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.128 0.008 16.407 0.000 0.128 0.164
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.074 0.008 9.802 0.000 0.074 0.099
.asr_rlbrk_cm_4 0.079 0.008 10.236 0.000 0.079 0.110
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.078 0.008 10.271 0.000 0.078 0.105
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.118 0.007 15.974 0.000 0.118 0.167
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.078 0.007 10.383 0.000 0.078 0.113
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.092 0.008 11.679 0.000 0.092 0.124
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.085 0.008 11.069 0.000 0.085 0.121
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.118 0.008 15.568 0.000 0.118 0.174
a_i ~~
a_s -0.080 0.005 -17.675 0.000 -0.403 -0.403
.flanker_0 ~~
.flanker_2 0.138 0.007 18.779 0.000 0.138 0.244
.flanker_4 0.098 0.008 13.115 0.000 0.098 0.180
.flanker_6 0.087 0.009 9.357 0.000 0.087 0.162
.flanker_2 ~~
.flanker_4 0.145 0.007 19.911 0.000 0.145 0.321
.flanker_6 0.102 0.008 12.602 0.000 0.102 0.232
.flanker_4 ~~
.flanker_6 0.153 0.009 16.879 0.000 0.153 0.359
.pattern_0 ~~
.pattern_2 0.073 0.005 13.377 0.000 0.073 0.216
.pattern_4 0.040 0.006 6.757 0.000 0.040 0.111
.pattern_6 0.033 0.007 4.580 0.000 0.033 0.093
.pattern_2 ~~
.pattern_4 0.105 0.007 15.299 0.000 0.105 0.289
.pattern_6 0.074 0.008 9.785 0.000 0.074 0.209
.pattern_4 ~~
.pattern_6 0.126 0.009 14.154 0.000 0.126 0.336
.picture_0 ~~
.picture_2 0.253 0.007 33.993 0.000 0.253 0.365
.picture_4 0.259 0.009 28.238 0.000 0.259 0.312
.picture_6 0.284 0.012 23.732 0.000 0.284 0.345
.picture_2 ~~
.picture_4 0.288 0.010 28.242 0.000 0.288 0.327
.picture_6 0.269 0.013 20.061 0.000 0.269 0.309
.picture_4 ~~
.picture_6 0.393 0.016 24.843 0.000 0.393 0.375
.picvocab_0 ~~
.picvocab_2 0.398 0.007 53.229 0.000 0.398 0.677
.picvocab_4 0.402 0.008 50.694 0.000 0.402 0.648
.picvocab_6 0.381 0.009 43.278 0.000 0.381 0.626
.picvocab_2 ~~
.picvocab_4 0.474 0.009 54.091 0.000 0.474 0.728
.picvocab_6 0.461 0.010 47.487 0.000 0.461 0.721
.picvocab_4 ~~
.picvocab_6 0.510 0.011 48.403 0.000 0.510 0.757
.reading_0 ~~
.reading_2 0.406 0.007 55.000 0.000 0.406 0.722
.reading_4 0.409 0.008 50.835 0.000 0.409 0.662
.reading_6 0.418 0.010 43.618 0.000 0.418 0.657
.reading_2 ~~
.reading_4 0.418 0.008 51.341 0.000 0.418 0.693
.reading_6 0.435 0.010 45.330 0.000 0.435 0.699
.reading_4 ~~
.reading_6 0.458 0.011 42.948 0.000 0.458 0.670
.picvocab_0 ~~
.reading_0 0.234 0.007 36.008 0.000 0.234 0.412
.reading_2 0.247 0.007 37.699 0.000 0.247 0.446
.reading_4 0.265 0.007 36.260 0.000 0.265 0.435
.reading_6 0.284 0.009 32.188 0.000 0.284 0.452
.picvocab_2 ~~
.reading_2 0.290 0.007 40.520 0.000 0.290 0.498
.reading_0 ~~
.picvocab_2 0.269 0.007 38.377 0.000 0.269 0.451
.picvocab_2 ~~
.reading_4 0.315 0.008 39.598 0.000 0.315 0.492
.reading_6 0.341 0.010 35.527 0.000 0.341 0.516
.picvocab_4 ~~
.reading_4 0.339 0.009 38.963 0.000 0.339 0.502
.reading_0 ~~
.picvocab_4 0.277 0.008 36.824 0.000 0.277 0.441
.reading_2 ~~
.picvocab_4 0.302 0.008 39.459 0.000 0.302 0.492
.picvocab_4 ~~
.reading_6 0.369 0.010 35.675 0.000 0.369 0.530
.picvocab_6 ~~
.reading_6 0.363 0.011 32.314 0.000 0.363 0.531
.reading_0 ~~
.picvocab_6 0.258 0.009 29.953 0.000 0.258 0.418
.reading_2 ~~
.picvocab_6 0.286 0.009 33.121 0.000 0.286 0.475
.reading_4 ~~
.picvocab_6 0.324 0.010 33.426 0.000 0.324 0.490
g_i ~~
g_s 0.004 0.001 3.501 0.000 0.211 0.211
.p_i ~~
.p_s -0.070 0.010 -6.858 0.000 -0.235 -0.235
.p_q 0.008 0.003 2.632 0.009 0.085 0.085
.p_s ~~
.p_q -0.068 0.005 -12.655 0.000 -0.850 -0.850
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) -0.006 0.004 -1.311 0.190 -0.006 -0.006
.asr___0 (t_AW) 0.002 0.005 0.416 0.678 0.002 0.002
.asr___0 (t_AS) -0.002 0.005 -0.427 0.669 -0.002 -0.002
.asr___0 (t_AP) -0.000 0.005 -0.097 0.923 -0.000 -0.000
.asr___0 (t_AH) -0.000 0.005 -0.090 0.928 -0.000 -0.000
.asr___0 (t_AA) 0.006 0.006 1.061 0.289 0.006 0.006
.asr___0 (t_AR) 0.001 0.005 0.170 0.865 0.001 0.001
.asr___0 (t_AG) -0.001 0.007 -0.082 0.935 -0.001 -0.001
.asr___2 (t_AX) -0.006 0.004 -1.311 0.190 -0.006 -0.006
.asr___2 (t_AW) 0.002 0.005 0.416 0.678 0.002 0.002
.asr___2 (t_AS) -0.002 0.005 -0.427 0.669 -0.002 -0.002
.asr___2 (t_AP) -0.000 0.005 -0.097 0.923 -0.000 -0.000
.asr___2 (t_AH) -0.000 0.005 -0.090 0.928 -0.000 -0.000
.asr___2 (t_AA) 0.006 0.006 1.061 0.289 0.006 0.006
.asr___2 (t_AR) 0.001 0.005 0.170 0.865 0.001 0.001
.asr___2 (t_AG) -0.001 0.007 -0.082 0.935 -0.001 -0.001
.asr___4 (t_AX) -0.006 0.004 -1.311 0.190 -0.006 -0.006
.asr___4 (t_AW) 0.002 0.005 0.416 0.678 0.002 0.002
.asr___4 (t_AS) -0.002 0.005 -0.427 0.669 -0.002 -0.002
.asr___4 (t_AP) -0.000 0.005 -0.097 0.923 -0.000 -0.000
.asr___4 (t_AH) -0.000 0.005 -0.090 0.928 -0.000 -0.000
.asr___4 (t_AA) 0.006 0.006 1.061 0.289 0.006 0.006
.asr___4 (t_AR) 0.001 0.005 0.170 0.865 0.001 0.001
.asr___4 (t_AG) -0.001 0.007 -0.082 0.935 -0.001 -0.001
a_i 0.025 0.008 3.205 0.001 0.032 0.032
a_s -0.023 0.004 -6.228 0.000 -0.091 -0.091
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.flnkr_0 (ta_S) 0.094 0.005 17.617 0.000 0.094 0.102
.flnkr_2 (ta_S) 0.094 0.005 17.617 0.000 0.094 0.118
.flnkr_4 (ta_S) 0.094 0.005 17.617 0.000 0.094 0.119
.flnkr_6 (ta_S) 0.094 0.005 17.617 0.000 0.094 0.116
.pttrn_0 (ta_R) 0.109 0.005 20.935 0.000 0.109 0.144
.pttrn_2 (ta_R) 0.109 0.005 20.935 0.000 0.109 0.142
.pttrn_4 (ta_R) 0.109 0.005 20.935 0.000 0.109 0.133
.pttrn_6 (ta_R) 0.109 0.005 20.935 0.000 0.109 0.128
.pictr_0 (ta_M) 0.049 0.007 7.490 0.000 0.049 0.058
.pictr_2 (ta_M) 0.049 0.007 7.490 0.000 0.049 0.055
.pictr_4 (ta_M) 0.049 0.007 7.490 0.000 0.049 0.046
.pictr_6 (ta_M) 0.049 0.007 7.490 0.000 0.049 0.046
.pcvcb_0 (ta_P) 0.043 0.006 7.641 0.000 0.043 0.051
.pcvcb_2 (ta_P) 0.043 0.006 7.641 0.000 0.043 0.049
.pcvcb_4 (ta_P) 0.043 0.006 7.641 0.000 0.043 0.046
.pcvcb_6 (ta_P) 0.043 0.006 7.641 0.000 0.043 0.046
.redng_0 (ta_V) 0.053 0.005 9.673 0.000 0.053 0.062
.redng_2 (ta_V) 0.053 0.005 9.673 0.000 0.053 0.063
.redng_4 (ta_V) 0.053 0.005 9.673 0.000 0.053 0.057
.redng_6 (ta_V) 0.053 0.005 9.673 0.000 0.053 0.055
g_i -0.648 0.007 -95.705 0.000 -1.670 -1.670
g_s 0.473 0.004 128.126 0.000 9.141 9.141
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
.p_i -0.081 0.016 -5.176 0.000 -0.101 -0.101
.p_s 0.371 0.295 1.260 0.208 0.599 0.599
.p_q -0.143 0.108 -1.322 0.186 -0.772 -0.772
.Int_c_0 0.000 0.000 0.000
.Int_c_1 0.000 0.000 0.000
.Int_c_2 0.000 0.000 0.000
.Int_c_3 0.000 0.000 0.000
.Int_c_4 0.000 0.000 0.000
.Int_c_5 0.000 0.000 0.000
.Int_c_6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.108 0.006 16.948 0.000 0.148 0.148
.a_eta2 0.184 0.005 39.149 0.000 0.261 0.261
.a_eta4 0.104 0.007 14.170 0.000 0.159 0.159
.asr_nxdp_cmp_0 0.294 0.006 51.210 0.000 0.294 0.289
.asr_wthdp_cm_0 0.479 0.008 62.291 0.000 0.479 0.456
.asr_soma_cmp_0 0.538 0.008 65.693 0.000 0.538 0.538
.asr_thprb_cm_0 0.481 0.007 65.759 0.000 0.481 0.443
.asr_ttprb_cm_0 0.410 0.006 64.501 0.000 0.410 0.413
.asr_rlbrk_cm_0 0.671 0.010 70.143 0.000 0.671 0.614
.asr_ggrss_cm_0 0.459 0.007 65.216 0.000 0.459 0.436
.asr_intr_cmp_0 0.904 0.012 75.005 0.000 0.904 0.846
.asr_nxdp_cmp_2 0.323 0.006 51.811 0.000 0.323 0.314
.asr_wthdp_cm_2 0.475 0.008 60.549 0.000 0.475 0.461
.asr_soma_cmp_2 0.549 0.009 64.025 0.000 0.549 0.550
.asr_thprb_cm_2 0.418 0.007 62.263 0.000 0.418 0.416
.asr_ttprb_cm_2 0.384 0.006 61.467 0.000 0.384 0.404
.asr_rlbrk_cm_2 0.612 0.009 67.042 0.000 0.612 0.599
.asr_ggrss_cm_2 0.445 0.007 62.975 0.000 0.445 0.435
.asr_intr_cmp_2 0.827 0.011 72.171 0.000 0.827 0.838
.asr_nxdp_cmp_4 0.334 0.007 49.266 0.000 0.334 0.338
.asr_wthdp_cm_4 0.451 0.008 56.581 0.000 0.451 0.467
.asr_soma_cmp_4 0.543 0.009 59.864 0.000 0.543 0.565
.asr_thprb_cm_4 0.392 0.007 57.747 0.000 0.392 0.417
.asr_ttprb_cm_4 0.420 0.007 58.877 0.000 0.420 0.443
.asr_rlbrk_cm_4 0.571 0.009 62.318 0.000 0.571 0.599
.asr_ggrss_cm_4 0.428 0.007 58.935 0.000 0.428 0.444
.asr_intr_cmp_4 0.813 0.012 67.936 0.000 0.813 0.846
a_i 0.617 0.012 49.407 0.000 1.000 1.000
a_s 0.063 0.003 19.573 0.000 1.000 1.000
.g_etaB 0.012 0.002 5.312 0.000 0.074 0.074
.g_eta2 0.008 0.002 5.235 0.000 0.048 0.048
.g_eta4 0.017 0.002 8.204 0.000 0.088 0.088
.g_eta6 0.045 0.004 11.349 0.000 0.184 0.184
.flanker_0 0.684 0.010 68.043 0.000 0.684 0.808
.flanker_2 0.466 0.009 54.419 0.000 0.466 0.733
.flanker_4 0.435 0.009 49.477 0.000 0.435 0.690
.flanker_6 0.417 0.011 38.684 0.000 0.417 0.630
.pattern_0 0.337 0.006 52.423 0.000 0.337 0.583
.pattern_2 0.339 0.008 45.087 0.000 0.339 0.574
.pattern_4 0.387 0.009 42.825 0.000 0.387 0.572
.pattern_6 0.367 0.011 32.918 0.000 0.367 0.502
.picture_0 0.654 0.009 73.394 0.000 0.654 0.918
.picture_2 0.734 0.011 69.177 0.000 0.734 0.924
.picture_4 1.056 0.016 66.199 0.000 1.056 0.938
.picture_6 1.036 0.022 47.863 0.000 1.036 0.922
.picvocab_0 0.561 0.008 68.952 0.000 0.561 0.800
.picvocab_2 0.618 0.009 66.210 0.000 0.618 0.808
.picvocab_4 0.686 0.011 63.052 0.000 0.686 0.803
.picvocab_6 0.661 0.013 49.270 0.000 0.661 0.758
.reading_0 0.575 0.008 68.327 0.000 0.575 0.786
.reading_2 0.549 0.008 64.900 0.000 0.549 0.770
.reading_4 0.664 0.011 62.001 0.000 0.664 0.779
.reading_6 0.704 0.015 47.897 0.000 0.704 0.749
g_i 0.151 0.004 35.986 0.000 1.000 1.000
g_s 0.003 0.001 4.136 0.000 1.000 1.000
.p_i 0.367 0.009 39.541 0.000 0.568 0.568
.p_s 0.238 0.017 13.825 0.000 0.619 0.619
.p_q 0.027 0.002 14.755 0.000 0.780 0.780
.Int_comp_0 0.178 0.007 25.777 0.000 0.178 0.216
.Int_comp_1 0.281 0.005 58.286 0.000 0.281 0.315
.Int_comp_2 0.287 0.005 56.454 0.000 0.287 0.301
.Int_comp_3 0.305 0.006 53.703 0.000 0.305 0.293
.Int_comp_4 0.321 0.006 52.347 0.000 0.321 0.286
.Int_comp_5 0.369 0.008 46.893 0.000 0.369 0.294
.Int_comp_6 0.237 0.013 18.025 0.000 0.237 0.180
R-Square:
Estimate
a_etaB 0.852
a_eta2 0.739
a_eta4 0.841
asr_nxdp_cmp_0 0.711
asr_wthdp_cm_0 0.544
asr_soma_cmp_0 0.462
asr_thprb_cm_0 0.557
asr_ttprb_cm_0 0.587
asr_rlbrk_cm_0 0.386
asr_ggrss_cm_0 0.564
asr_intr_cmp_0 0.154
asr_nxdp_cmp_2 0.686
asr_wthdp_cm_2 0.539
asr_soma_cmp_2 0.450
asr_thprb_cm_2 0.584
asr_ttprb_cm_2 0.596
asr_rlbrk_cm_2 0.401
asr_ggrss_cm_2 0.565
asr_intr_cmp_2 0.162
asr_nxdp_cmp_4 0.662
asr_wthdp_cm_4 0.533
asr_soma_cmp_4 0.435
asr_thprb_cm_4 0.583
asr_ttprb_cm_4 0.557
asr_rlbrk_cm_4 0.401
asr_ggrss_cm_4 0.556
asr_intr_cmp_4 0.154
g_etaB 0.926
g_eta2 0.952
g_eta4 0.912
g_eta6 0.816
flanker_0 0.192
flanker_2 0.267
flanker_4 0.310
flanker_6 0.370
pattern_0 0.417
pattern_2 0.426
pattern_4 0.428
pattern_6 0.498
picture_0 0.082
picture_2 0.076
picture_4 0.062
picture_6 0.078
picvocab_0 0.200
picvocab_2 0.192
picvocab_4 0.197
picvocab_6 0.242
reading_0 0.214
reading_2 0.230
reading_4 0.221
reading_6 0.251
p_i 0.432
p_s 0.381
p_q 0.220
Int_comp_0 0.784
Int_comp_1 0.685
Int_comp_2 0.699
Int_comp_3 0.707
Int_comp_4 0.714
Int_comp_5 0.706
Int_comp_6 0.820
Int ~ pp + g model with sex
Children’s Internalizing symptoms (Int) was regressed on parental psychopathology (pp) and children’s cognitive functioning (g), with sex as a covariate.
model fit
# Add sex as covariate
Int.pga6.sex.model <- Int.pga6.model %>%
str_replace_all(
c(
"_i ~ 1" = "_i ~ 1 + dummy_sex",
"_s ~ 1" = "_s ~ 1 + dummy_sex",
"_q ~ 1" = "_q ~ 1 + dummy_sex",
"_i~1" = "_i~1 + dummy_sex",
"_s~1" = "_s~1 + dummy_sex",
"_q~1" = "_q~1 + dummy_sex"
)
)
writeLines(Int.pga6.sex.model)lavaan(Int.pga6.sex.model,
data = pga6_wide.allscaled.sex,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = T,
std.lv = T
) %>%
saveRDS("pgcm_Int_pga6_sex_model.rds")result
readRDS("pgcm_Int_pga6_sex_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_Int_pga6_sex_result.rds")# Check model
eigen(inspect(readRDS("pgcm_Int_pga6_sex_model.rds"), "cor.lv"))$value [1] 4.75826048 3.87742034 2.43240691 0.95199492 0.67142754 0.50460633
[7] 0.22761964 0.15819609 0.12891311 0.09272414 0.08003755 0.05974674
[13] 0.04007076 0.01657547
readRDS("pgcm_Int_pga6_sex_result.rds")lavaan 0.6-19 ended normally after 202 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 299
Number of equality constraints 57
Number of observations 11867
Number of missing patterns 706
Model Test User Model:
Test statistic 14826.957
Degrees of freedom 1186
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 317693.880
Degrees of freedom 1326
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.957
Tucker-Lewis Index (TLI) 0.952
Robust Comparative Fit Index (CFI) 0.952
Robust Tucker-Lewis Index (TLI) 0.946
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -526501.246
Loglikelihood unrestricted model (H1) -519087.767
Akaike (AIC) 1053486.492
Bayesian (BIC) 1055272.819
Sample-size adjusted Bayesian (SABIC) 1054503.771
Root Mean Square Error of Approximation:
RMSEA 0.031
90 Percent confidence interval - lower 0.031
90 Percent confidence interval - upper 0.032
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.037
90 Percent confidence interval - lower 0.037
90 Percent confidence interval - upper 0.038
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.050
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.851 0.844
asr___0 (l_AW) 0.887 0.007 127.142 0.000 0.755 0.737
asr___0 (l_AS) 0.799 0.007 112.988 0.000 0.680 0.680
asr___0 (l_AC) 0.914 0.007 125.326 0.000 0.778 0.746
asr___0 (l_AH) 0.897 0.007 131.629 0.000 0.764 0.766
asr___0 (l_AA) 0.763 0.008 97.370 0.000 0.649 0.621
asr___0 (l_AR) 0.905 0.007 125.122 0.000 0.770 0.751
asr___0 (l_AG) 0.476 0.008 59.069 0.000 0.405 0.392
a_eta2 =~
asr___2 1.000 0.839 0.828
asr___2 (l_AW) 0.887 0.007 127.142 0.000 0.745 0.734
asr___2 (l_AS) 0.799 0.007 112.988 0.000 0.671 0.671
asr___2 (l_AC) 0.914 0.007 125.326 0.000 0.767 0.764
asr___2 (l_AH) 0.897 0.007 131.629 0.000 0.753 0.772
asr___2 (l_AA) 0.763 0.008 97.370 0.000 0.640 0.633
asr___2 (l_AR) 0.905 0.007 125.122 0.000 0.759 0.751
asr___2 (l_AG) 0.476 0.008 59.069 0.000 0.399 0.402
a_eta4 =~
asr___4 1.000 0.810 0.814
asr___4 (l_AW) 0.887 0.007 127.142 0.000 0.718 0.730
asr___4 (l_AS) 0.799 0.007 112.988 0.000 0.647 0.660
asr___4 (l_AC) 0.914 0.007 125.326 0.000 0.740 0.763
asr___4 (l_AH) 0.897 0.007 131.629 0.000 0.726 0.746
asr___4 (l_AA) 0.763 0.008 97.370 0.000 0.617 0.633
asr___4 (l_AR) 0.905 0.007 125.122 0.000 0.732 0.746
asr___4 (l_AG) 0.476 0.008 59.069 0.000 0.385 0.393
a_i =~
a_etaB 1.000 0.923 0.923
a_eta2 1.000 0.936 0.936
a_eta4 1.000 0.970 0.970
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.299 0.299
a_eta4 2.000 0.621 0.621
g_etaB =~
flnkr_0 1.000 0.403 0.437
pttrn_0 (lm_R) 1.220 0.011 112.460 0.000 0.492 0.647
pictr_0 (lm_M) 0.598 0.009 64.681 0.000 0.241 0.286
pcvcb_0 (lm_P) 0.930 0.009 107.659 0.000 0.375 0.447
redng_0 (lm_V) 0.982 0.009 111.344 0.000 0.395 0.462
g_eta2 =~
flnkr_2 1.000 0.412 0.516
pttrn_2 (lm_R) 1.220 0.011 112.460 0.000 0.502 0.654
pictr_2 (lm_M) 0.598 0.009 64.681 0.000 0.246 0.276
pcvcb_2 (lm_P) 0.930 0.009 107.659 0.000 0.383 0.437
redng_2 (lm_V) 0.982 0.009 111.344 0.000 0.404 0.479
g_eta4 =~
flnkr_4 1.000 0.441 0.556
pttrn_4 (lm_R) 1.220 0.011 112.460 0.000 0.539 0.655
pictr_4 (lm_M) 0.598 0.009 64.681 0.000 0.264 0.249
pcvcb_4 (lm_P) 0.930 0.009 107.659 0.000 0.410 0.444
redng_4 (lm_V) 0.982 0.009 111.344 0.000 0.433 0.469
g_eta6 =~
flnkr_6 1.000 0.494 0.607
pttrn_6 (lm_R) 1.220 0.011 112.460 0.000 0.603 0.706
pictr_6 (lm_M) 0.598 0.009 64.681 0.000 0.296 0.279
pcvcb_6 (lm_P) 0.930 0.009 107.659 0.000 0.460 0.492
redng_6 (lm_V) 0.982 0.009 111.344 0.000 0.485 0.500
g_i =~
g_etaB 1.000 0.962 0.962
g_eta2 1.000 0.941 0.941
g_eta4 1.000 0.878 0.878
g_eta6 1.000 0.784 0.784
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.125 0.125
g_eta4 2.000 0.233 0.233
g_eta6 3.000 0.313 0.313
p_i =~
Int_c_0 1.000 0.803 0.884
Int_c_1 1.000 0.803 0.851
Int_c_2 1.000 0.803 0.823
Int_c_3 1.000 0.803 0.786
Int_c_4 1.000 0.803 0.758
Int_c_5 1.000 0.803 0.717
Int_c_6 1.000 0.803 0.698
p_s =~
Int_c_0 0.000 0.000 0.000
Int_c_1 0.500 0.309 0.327
Int_c_2 1.000 0.617 0.632
Int_c_3 1.500 0.926 0.907
Int_c_4 2.000 1.235 1.165
Int_c_5 2.500 1.544 1.377
Int_c_6 3.000 1.852 1.611
p_q =~
Int_c_0 0.000 0.000 0.000
Int_c_1 0.250 0.046 0.049
Int_c_2 1.000 0.183 0.188
Int_c_3 2.250 0.413 0.404
Int_c_4 4.000 0.734 0.692
Int_c_5 6.250 1.147 1.023
Int_c_6 9.000 1.651 1.436
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_i ~
dummy_sex 0.031 0.016 1.924 0.054 0.040 0.020
a_s ~
dummy_sex -0.015 0.007 -1.987 0.047 -0.058 -0.029
g_i ~
dummy_sex -0.041 0.009 -4.416 0.000 -0.105 -0.053
g_s ~
dummy_sex 0.004 0.003 1.132 0.258 0.076 0.038
p_i ~
dummy_sex 0.011 0.014 0.754 0.451 0.013 0.007
p_s ~
dummy_sex -0.100 0.019 -5.236 0.000 -0.162 -0.081
p_q ~
dummy_sex -0.012 0.007 -1.811 0.070 -0.065 -0.032
p_i ~
g_i -0.028 0.022 -1.254 0.210 -0.013 -0.013
a_i 0.673 0.011 59.763 0.000 0.658 0.658
p_s ~
g_i 0.134 0.038 3.481 0.001 0.084 0.084
g_s -0.389 0.588 -0.662 0.508 -0.032 -0.032
a_i 0.090 0.016 5.745 0.000 0.114 0.114
a_s 1.596 0.084 19.084 0.000 0.649 0.649
p_q ~
g_i -0.044 0.014 -3.158 0.002 -0.094 -0.094
g_s 0.244 0.218 1.119 0.263 0.069 0.069
a_i -0.019 0.005 -3.714 0.000 -0.082 -0.082
a_s -0.357 0.025 -14.322 0.000 -0.489 -0.489
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.166 0.005 34.770 0.000 0.166 0.540
.asr_nxdp_cmp_4 0.151 0.005 30.763 0.000 0.151 0.483
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.185 0.005 35.265 0.000 0.185 0.565
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.223 0.006 36.498 0.000 0.223 0.467
.asr_wthdp_cm_4 0.201 0.006 32.610 0.000 0.201 0.433
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.219 0.006 34.802 0.000 0.219 0.472
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.265 0.007 39.932 0.000 0.265 0.488
.asr_soma_cmp_4 0.230 0.007 34.092 0.000 0.230 0.425
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.272 0.007 38.262 0.000 0.272 0.498
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.199 0.005 36.247 0.000 0.199 0.444
.asr_thprb_cm_4 0.167 0.006 30.307 0.000 0.167 0.385
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.175 0.005 32.854 0.000 0.175 0.432
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.255 0.005 48.781 0.000 0.255 0.644
.asr_ttprb_cm_4 0.248 0.006 45.085 0.000 0.248 0.599
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.267 0.006 47.836 0.000 0.267 0.666
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.313 0.007 42.057 0.000 0.313 0.488
.asr_rlbrk_cm_4 0.269 0.007 36.519 0.000 0.269 0.434
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.291 0.007 39.453 0.000 0.291 0.493
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.252 0.006 44.253 0.000 0.252 0.558
.asr_ggrss_cm_4 0.228 0.006 40.131 0.000 0.228 0.514
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.257 0.006 43.696 0.000 0.257 0.590
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.500 0.010 52.017 0.000 0.500 0.578
.asr_intr_cmp_4 0.469 0.010 48.110 0.000 0.469 0.547
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.479 0.010 49.835 0.000 0.479 0.584
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.007 0.005 1.506 0.132 0.007 0.020
.asr_soma_cmp_0 0.011 0.005 2.213 0.027 0.011 0.028
.asr_wthdp_cm_2 0.010 0.005 2.087 0.037 0.010 0.027
.asr_soma_cmp_2 0.020 0.005 3.902 0.000 0.020 0.049
.asr_wthdp_cm_4 0.008 0.005 1.655 0.098 0.008 0.022
.asr_soma_cmp_4 0.019 0.005 3.517 0.000 0.019 0.046
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 -0.001 0.005 -0.147 0.883 -0.001 -0.002
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.012 0.005 2.458 0.014 0.012 0.030
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.024 0.005 4.738 0.000 0.024 0.062
.asr_soma_cmp_2 0.031 0.005 5.837 0.000 0.031 0.074
.asr_wthdp_cm_4 0.011 0.005 2.148 0.032 0.011 0.029
.asr_soma_cmp_4 0.014 0.005 2.562 0.010 0.014 0.033
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 -0.008 0.005 -1.523 0.128 -0.008 -0.020
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.012 0.005 2.315 0.021 0.012 0.029
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.006 0.005 1.223 0.221 0.006 0.016
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.029 0.006 5.263 0.000 0.029 0.068
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.027 0.005 5.056 0.000 0.027 0.071
.asr_soma_cmp_4 0.043 0.006 7.385 0.000 0.043 0.100
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.043 0.006 -7.489 0.000 -0.043 -0.084
.asr_soma_cmp_2 -0.028 0.006 -4.890 0.000 -0.028 -0.055
.asr_soma_cmp_4 -0.043 0.006 -7.027 0.000 -0.043 -0.084
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.022 0.006 -3.841 0.000 -0.022 -0.043
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.025 0.006 -4.212 0.000 -0.025 -0.048
.asr_soma_cmp_4 -0.031 0.006 -5.039 0.000 -0.031 -0.060
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.024 0.006 -4.125 0.000 -0.024 -0.049
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.030 0.006 -4.971 0.000 -0.030 -0.060
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.032 0.006 -5.320 0.000 -0.032 -0.065
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.140 0.007 20.616 0.000 0.140 0.218
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.084 0.006 13.883 0.000 0.084 0.151
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.091 0.007 13.940 0.000 0.091 0.148
.asr_rlbrk_cm_2 0.033 0.006 5.640 0.000 0.033 0.061
.asr_intr_cmp_4 0.100 0.007 14.777 0.000 0.100 0.163
.asr_rlbrk_cm_4 0.040 0.006 6.754 0.000 0.040 0.078
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.100 0.007 14.951 0.000 0.100 0.158
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.059 0.006 9.850 0.000 0.059 0.108
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.144 0.007 21.595 0.000 0.144 0.237
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.054 0.006 9.271 0.000 0.054 0.104
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.115 0.007 16.879 0.000 0.115 0.191
.asr_rlbrk_cm_4 0.052 0.006 8.719 0.000 0.052 0.103
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.102 0.007 14.878 0.000 0.102 0.165
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.064 0.006 10.440 0.000 0.064 0.120
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.109 0.007 16.288 0.000 0.109 0.184
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.055 0.006 9.146 0.000 0.055 0.108
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.146 0.007 21.181 0.000 0.146 0.248
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.075 0.006 12.426 0.000 0.075 0.151
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.128 0.008 16.408 0.000 0.128 0.164
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.074 0.008 9.802 0.000 0.074 0.099
.asr_rlbrk_cm_4 0.079 0.008 10.233 0.000 0.079 0.110
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.078 0.008 10.274 0.000 0.078 0.105
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.119 0.007 15.979 0.000 0.119 0.167
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.078 0.007 10.387 0.000 0.078 0.113
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.092 0.008 11.685 0.000 0.092 0.124
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.085 0.008 11.076 0.000 0.085 0.121
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.118 0.008 15.573 0.000 0.118 0.174
.a_i ~~
.a_s -0.079 0.005 -17.644 0.000 -0.403 -0.403
.flanker_0 ~~
.flanker_2 0.139 0.007 18.887 0.000 0.139 0.246
.flanker_4 0.100 0.008 13.256 0.000 0.100 0.182
.flanker_6 0.088 0.009 9.470 0.000 0.088 0.164
.flanker_2 ~~
.flanker_4 0.146 0.007 20.026 0.000 0.146 0.323
.flanker_6 0.103 0.008 12.717 0.000 0.103 0.234
.flanker_4 ~~
.flanker_6 0.154 0.009 16.952 0.000 0.154 0.360
.pattern_0 ~~
.pattern_2 0.072 0.005 13.112 0.000 0.072 0.213
.pattern_4 0.038 0.006 6.492 0.000 0.038 0.107
.pattern_6 0.031 0.007 4.411 0.000 0.031 0.089
.pattern_2 ~~
.pattern_4 0.103 0.007 15.051 0.000 0.103 0.286
.pattern_6 0.072 0.008 9.611 0.000 0.072 0.206
.pattern_4 ~~
.pattern_6 0.125 0.009 14.011 0.000 0.125 0.334
.picture_0 ~~
.picture_2 0.253 0.007 33.979 0.000 0.253 0.365
.picture_4 0.259 0.009 28.228 0.000 0.259 0.312
.picture_6 0.284 0.012 23.698 0.000 0.284 0.345
.picture_2 ~~
.picture_4 0.288 0.010 28.234 0.000 0.288 0.327
.picture_6 0.269 0.013 20.038 0.000 0.269 0.308
.picture_4 ~~
.picture_6 0.393 0.016 24.836 0.000 0.393 0.375
.picvocab_0 ~~
.picvocab_2 0.400 0.008 53.255 0.000 0.400 0.678
.picvocab_4 0.403 0.008 50.717 0.000 0.403 0.649
.picvocab_6 0.382 0.009 43.316 0.000 0.382 0.627
.picvocab_2 ~~
.picvocab_4 0.475 0.009 54.096 0.000 0.475 0.728
.picvocab_6 0.462 0.010 47.499 0.000 0.462 0.721
.picvocab_4 ~~
.picvocab_6 0.511 0.011 48.400 0.000 0.511 0.757
.reading_0 ~~
.reading_2 0.407 0.007 55.019 0.000 0.407 0.723
.reading_4 0.410 0.008 50.854 0.000 0.410 0.663
.reading_6 0.419 0.010 43.655 0.000 0.419 0.658
.reading_2 ~~
.reading_4 0.419 0.008 51.351 0.000 0.419 0.694
.reading_6 0.436 0.010 45.351 0.000 0.436 0.700
.reading_4 ~~
.reading_6 0.459 0.011 42.962 0.000 0.459 0.670
.picvocab_0 ~~
.reading_0 0.235 0.007 36.081 0.000 0.235 0.414
.reading_2 0.248 0.007 37.759 0.000 0.248 0.447
.reading_4 0.266 0.007 36.301 0.000 0.266 0.436
.reading_6 0.285 0.009 32.230 0.000 0.285 0.453
.picvocab_2 ~~
.reading_2 0.291 0.007 40.569 0.000 0.291 0.499
.reading_0 ~~
.picvocab_2 0.270 0.007 38.446 0.000 0.270 0.452
.picvocab_2 ~~
.reading_4 0.316 0.008 39.624 0.000 0.316 0.493
.reading_6 0.341 0.010 35.550 0.000 0.341 0.517
.picvocab_4 ~~
.reading_4 0.340 0.009 38.984 0.000 0.340 0.503
.reading_0 ~~
.picvocab_4 0.278 0.008 36.888 0.000 0.278 0.442
.reading_2 ~~
.picvocab_4 0.303 0.008 39.500 0.000 0.303 0.493
.picvocab_4 ~~
.reading_6 0.369 0.010 35.689 0.000 0.369 0.531
.picvocab_6 ~~
.reading_6 0.363 0.011 32.324 0.000 0.363 0.532
.reading_0 ~~
.picvocab_6 0.259 0.009 30.027 0.000 0.259 0.419
.reading_2 ~~
.picvocab_6 0.287 0.009 33.170 0.000 0.287 0.476
.reading_4 ~~
.picvocab_6 0.325 0.010 33.455 0.000 0.325 0.490
.g_i ~~
.g_s 0.004 0.001 3.535 0.000 0.214 0.214
.p_i ~~
.p_s -0.067 0.010 -6.668 0.000 -0.232 -0.232
.p_q 0.008 0.003 2.513 0.012 0.082 0.082
.p_s ~~
.p_q -0.067 0.005 -12.482 0.000 -0.857 -0.857
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) -0.011 0.004 -2.362 0.018 -0.011 -0.010
.asr___0 (t_AW) -0.002 0.005 -0.412 0.681 -0.002 -0.002
.asr___0 (t_AS) -0.006 0.005 -1.118 0.263 -0.006 -0.006
.asr___0 (t_AP) -0.005 0.005 -0.987 0.323 -0.005 -0.005
.asr___0 (t_AH) -0.005 0.005 -0.927 0.354 -0.005 -0.005
.asr___0 (t_AA) 0.002 0.006 0.418 0.676 0.002 0.002
.asr___0 (t_AR) -0.003 0.005 -0.705 0.481 -0.003 -0.003
.asr___0 (t_AG) -0.003 0.007 -0.405 0.686 -0.003 -0.003
.asr___2 (t_AX) -0.011 0.004 -2.362 0.018 -0.011 -0.010
.asr___2 (t_AW) -0.002 0.005 -0.412 0.681 -0.002 -0.002
.asr___2 (t_AS) -0.006 0.005 -1.118 0.263 -0.006 -0.006
.asr___2 (t_AP) -0.005 0.005 -0.987 0.323 -0.005 -0.005
.asr___2 (t_AH) -0.005 0.005 -0.927 0.354 -0.005 -0.005
.asr___2 (t_AA) 0.002 0.006 0.418 0.676 0.002 0.002
.asr___2 (t_AR) -0.003 0.005 -0.705 0.481 -0.003 -0.003
.asr___2 (t_AG) -0.003 0.007 -0.405 0.686 -0.003 -0.003
.asr___4 (t_AX) -0.011 0.004 -2.362 0.018 -0.011 -0.011
.asr___4 (t_AW) -0.002 0.005 -0.412 0.681 -0.002 -0.002
.asr___4 (t_AS) -0.006 0.005 -1.118 0.263 -0.006 -0.006
.asr___4 (t_AP) -0.005 0.005 -0.987 0.323 -0.005 -0.005
.asr___4 (t_AH) -0.005 0.005 -0.927 0.354 -0.005 -0.005
.asr___4 (t_AA) 0.002 0.006 0.418 0.676 0.002 0.002
.asr___4 (t_AR) -0.003 0.005 -0.705 0.481 -0.003 -0.004
.asr___4 (t_AG) -0.003 0.007 -0.405 0.686 -0.003 -0.003
.a_i 0.014 0.011 1.214 0.225 0.017 0.017
.a_s -0.015 0.005 -2.877 0.004 -0.061 -0.061
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.flnkr_0 (ta_S) 0.101 0.005 18.970 0.000 0.101 0.109
.flnkr_2 (ta_S) 0.101 0.005 18.970 0.000 0.101 0.126
.flnkr_4 (ta_S) 0.101 0.005 18.970 0.000 0.101 0.127
.flnkr_6 (ta_S) 0.101 0.005 18.970 0.000 0.101 0.124
.pttrn_0 (ta_R) 0.118 0.005 22.781 0.000 0.118 0.155
.pttrn_2 (ta_R) 0.118 0.005 22.781 0.000 0.118 0.153
.pttrn_4 (ta_R) 0.118 0.005 22.781 0.000 0.118 0.143
.pttrn_6 (ta_R) 0.118 0.005 22.781 0.000 0.118 0.138
.pictr_0 (ta_M) 0.053 0.007 8.087 0.000 0.053 0.062
.pictr_2 (ta_M) 0.053 0.007 8.087 0.000 0.053 0.059
.pictr_4 (ta_M) 0.053 0.007 8.087 0.000 0.053 0.050
.pictr_6 (ta_M) 0.053 0.007 8.087 0.000 0.053 0.050
.pcvcb_0 (ta_P) 0.049 0.006 8.731 0.000 0.049 0.058
.pcvcb_2 (ta_P) 0.049 0.006 8.731 0.000 0.049 0.056
.pcvcb_4 (ta_P) 0.049 0.006 8.731 0.000 0.049 0.053
.pcvcb_6 (ta_P) 0.049 0.006 8.731 0.000 0.049 0.052
.redng_0 (ta_V) 0.059 0.005 10.886 0.000 0.059 0.069
.redng_2 (ta_V) 0.059 0.005 10.886 0.000 0.059 0.070
.redng_4 (ta_V) 0.059 0.005 10.886 0.000 0.059 0.064
.redng_6 (ta_V) 0.059 0.005 10.886 0.000 0.059 0.061
.g_i -0.632 0.008 -77.421 0.000 -1.632 -1.632
.g_s 0.470 0.004 115.300 0.000 9.122 9.122
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
.p_i -0.089 0.017 -5.261 0.000 -0.111 -0.111
.p_s 0.392 0.293 1.336 0.182 0.634 0.634
.p_q -0.143 0.109 -1.310 0.190 -0.777 -0.777
.Int_c_0 0.000 0.000 0.000
.Int_c_1 0.000 0.000 0.000
.Int_c_2 0.000 0.000 0.000
.Int_c_3 0.000 0.000 0.000
.Int_c_4 0.000 0.000 0.000
.Int_c_5 0.000 0.000 0.000
.Int_c_6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.108 0.006 16.964 0.000 0.149 0.149
.a_eta2 0.184 0.005 39.153 0.000 0.261 0.261
.a_eta4 0.104 0.007 14.224 0.000 0.159 0.159
.asr_nxdp_cmp_0 0.294 0.006 51.213 0.000 0.294 0.288
.asr_wthdp_cm_0 0.479 0.008 62.301 0.000 0.479 0.456
.asr_soma_cmp_0 0.538 0.008 65.695 0.000 0.538 0.538
.asr_thprb_cm_0 0.481 0.007 65.768 0.000 0.481 0.443
.asr_ttprb_cm_0 0.410 0.006 64.486 0.000 0.410 0.413
.asr_rlbrk_cm_0 0.671 0.010 70.149 0.000 0.671 0.614
.asr_ggrss_cm_0 0.459 0.007 65.211 0.000 0.459 0.436
.asr_intr_cmp_0 0.904 0.012 75.005 0.000 0.904 0.846
.asr_nxdp_cmp_2 0.323 0.006 51.810 0.000 0.323 0.314
.asr_wthdp_cm_2 0.475 0.008 60.560 0.000 0.475 0.461
.asr_soma_cmp_2 0.549 0.009 64.028 0.000 0.549 0.550
.asr_thprb_cm_2 0.419 0.007 62.287 0.000 0.419 0.416
.asr_ttprb_cm_2 0.384 0.006 61.451 0.000 0.384 0.404
.asr_rlbrk_cm_2 0.612 0.009 67.051 0.000 0.612 0.599
.asr_ggrss_cm_2 0.445 0.007 62.977 0.000 0.445 0.435
.asr_intr_cmp_2 0.827 0.011 72.172 0.000 0.827 0.838
.asr_nxdp_cmp_4 0.333 0.007 49.265 0.000 0.333 0.337
.asr_wthdp_cm_4 0.452 0.008 56.612 0.000 0.452 0.467
.asr_soma_cmp_4 0.543 0.009 59.868 0.000 0.543 0.565
.asr_thprb_cm_4 0.393 0.007 57.779 0.000 0.393 0.418
.asr_ttprb_cm_4 0.419 0.007 58.854 0.000 0.419 0.443
.asr_rlbrk_cm_4 0.571 0.009 62.336 0.000 0.571 0.600
.asr_ggrss_cm_4 0.428 0.007 58.944 0.000 0.428 0.444
.asr_intr_cmp_4 0.813 0.012 67.937 0.000 0.813 0.846
.a_i 0.617 0.012 49.410 0.000 1.000 1.000
.a_s 0.063 0.003 19.556 0.000 0.999 0.999
.g_etaB 0.012 0.002 5.346 0.000 0.075 0.075
.g_eta2 0.008 0.002 5.216 0.000 0.048 0.048
.g_eta4 0.017 0.002 8.206 0.000 0.088 0.088
.g_eta6 0.045 0.004 11.354 0.000 0.184 0.184
.flanker_0 0.686 0.010 68.063 0.000 0.686 0.809
.flanker_2 0.467 0.009 54.453 0.000 0.467 0.734
.flanker_4 0.436 0.009 49.484 0.000 0.436 0.691
.flanker_6 0.418 0.011 38.717 0.000 0.418 0.631
.pattern_0 0.336 0.006 52.203 0.000 0.336 0.581
.pattern_2 0.338 0.008 44.906 0.000 0.338 0.572
.pattern_4 0.385 0.009 42.618 0.000 0.385 0.570
.pattern_6 0.366 0.011 32.821 0.000 0.366 0.502
.picture_0 0.654 0.009 73.392 0.000 0.654 0.918
.picture_2 0.734 0.011 69.178 0.000 0.734 0.924
.picture_4 1.056 0.016 66.200 0.000 1.056 0.938
.picture_6 1.036 0.022 47.855 0.000 1.036 0.922
.picvocab_0 0.562 0.008 68.934 0.000 0.562 0.800
.picvocab_2 0.619 0.009 66.205 0.000 0.619 0.809
.picvocab_4 0.687 0.011 63.036 0.000 0.687 0.803
.picvocab_6 0.662 0.013 49.264 0.000 0.662 0.758
.reading_0 0.576 0.008 68.325 0.000 0.576 0.786
.reading_2 0.550 0.008 64.901 0.000 0.550 0.771
.reading_4 0.665 0.011 61.995 0.000 0.665 0.780
.reading_6 0.705 0.015 47.899 0.000 0.705 0.750
.g_i 0.150 0.004 35.905 0.000 0.997 0.997
.g_s 0.003 0.001 4.112 0.000 0.999 0.999
.p_i 0.366 0.009 39.484 0.000 0.567 0.567
.p_s 0.232 0.017 13.505 0.000 0.608 0.608
.p_q 0.026 0.002 14.464 0.000 0.776 0.776
.Int_comp_0 0.180 0.007 26.067 0.000 0.180 0.218
.Int_comp_1 0.280 0.005 58.337 0.000 0.280 0.315
.Int_comp_2 0.287 0.005 56.500 0.000 0.287 0.301
.Int_comp_3 0.306 0.006 53.803 0.000 0.306 0.293
.Int_comp_4 0.320 0.006 52.464 0.000 0.320 0.285
.Int_comp_5 0.366 0.008 47.002 0.000 0.366 0.292
.Int_comp_6 0.247 0.013 18.772 0.000 0.247 0.187
R-Square:
Estimate
a_etaB 0.851
a_eta2 0.739
a_eta4 0.841
asr_nxdp_cmp_0 0.712
asr_wthdp_cm_0 0.544
asr_soma_cmp_0 0.462
asr_thprb_cm_0 0.557
asr_ttprb_cm_0 0.587
asr_rlbrk_cm_0 0.386
asr_ggrss_cm_0 0.564
asr_intr_cmp_0 0.154
asr_nxdp_cmp_2 0.686
asr_wthdp_cm_2 0.539
asr_soma_cmp_2 0.450
asr_thprb_cm_2 0.584
asr_ttprb_cm_2 0.596
asr_rlbrk_cm_2 0.401
asr_ggrss_cm_2 0.565
asr_intr_cmp_2 0.162
asr_nxdp_cmp_4 0.663
asr_wthdp_cm_4 0.533
asr_soma_cmp_4 0.435
asr_thprb_cm_4 0.582
asr_ttprb_cm_4 0.557
asr_rlbrk_cm_4 0.400
asr_ggrss_cm_4 0.556
asr_intr_cmp_4 0.154
a_i 0.000
a_s 0.001
g_etaB 0.925
g_eta2 0.952
g_eta4 0.912
g_eta6 0.816
flanker_0 0.191
flanker_2 0.266
flanker_4 0.309
flanker_6 0.369
pattern_0 0.419
pattern_2 0.428
pattern_4 0.430
pattern_6 0.498
picture_0 0.082
picture_2 0.076
picture_4 0.062
picture_6 0.078
picvocab_0 0.200
picvocab_2 0.191
picvocab_4 0.197
picvocab_6 0.242
reading_0 0.214
reading_2 0.229
reading_4 0.220
reading_6 0.250
g_i 0.003
g_s 0.001
p_i 0.433
p_s 0.392
p_q 0.224
Int_comp_0 0.782
Int_comp_1 0.685
Int_comp_2 0.699
Int_comp_3 0.707
Int_comp_4 0.715
Int_comp_5 0.708
Int_comp_6 0.813
Result summary
Model fit indices
lapply(
c(
"pgcm_pga6_sex_result.rds",
"pgcm_Ext_pga6_sex_result.rds",
"pgcm_Int_pga6_sex_result.rds"
),
function(f) {
readRDS(f)$fit[c(
"chisq", "df", "pvalue",
"cfi.robust", "tli.robust",
"rmsea.robust", "rmsea.ci.lower.robust",
"rmsea.ci.upper.robust", "srmr"
)]
}
) %>%
do.call(rbind, .) %>%
round(3) %>%
data.frame(model = c("pc", "Ext", "Int"), ., row.names = NULL) %>%
knitr::kable()| model | chisq | df | pvalue | cfi.robust | tli.robust | rmsea.robust | rmsea.ci.lower.robust | rmsea.ci.upper.robust | srmr |
|---|---|---|---|---|---|---|---|---|---|
| pc | 41616.23 | 4573 | 0 | 0.952 | 0.947 | 0.030 | 0.030 | 0.030 | 0.056 |
| Ext | 14404.05 | 1186 | 0 | 0.954 | 0.949 | 0.037 | 0.036 | 0.037 | 0.049 |
| Int | 14826.96 | 1186 | 0 | 0.952 | 0.946 | 0.037 | 0.037 | 0.038 | 0.050 |
Result
model_list <- c(
"pgcm_pga6_sex_model.rds",
"pgcm_Ext_pga6_sex_model.rds",
"pgcm_Int_pga6_sex_model.rds"
)
# combine all significant results
final.pga.sex.result <- data.frame()
for (a in 1:3) {
final.pga.sex.result <- final.pga.sex.result %>%
rbind(
readRDS(paste0(model_list[a])) %>%
standardizedSolution() %>%
filter(op == "~") %>%
filter(rhs != "dummy_sex") %>%
mutate(label = str_sub(model_list[a], 6, 8))
)
}
final.pga.sex.result %>%
mutate(sig = case_when(
pvalue < .001 ~ "***",
pvalue < .01 ~ "**",
pvalue < .05 ~ "*",
pvalue >= .05 ~ ""
)) %>%
mutate(
std.lv = round(est.std, 3),
effsize = paste0(std.lv, " [", round(ci.lower, 3), ",", round(ci.upper, 3), "]")
) %>%
select(lhs, op, rhs, label, effsize) %>%
pivot_wider(
names_from = label,
values_from = effsize
) %>%
select(lhs, op, rhs, Int, Ext, pga) %>%
arrange(desc(rhs)) %>%
knitr::kable()| lhs | op | rhs | Int | Ext | pga |
|---|---|---|---|---|---|
| p_s | ~ | g_s | -0.032 [-0.127,0.062] | -0.225 [-0.356,-0.094] | -0.103 [-0.2,-0.006] |
| p_q | ~ | g_s | 0.069 [-0.047,0.184] | 0.189 [0.047,0.33] | 0.103 [-0.011,0.218] |
| p_i | ~ | g_i | -0.013 [-0.034,0.008] | -0.143 [-0.165,-0.122] | -0.149 [-0.17,-0.128] |
| p_s | ~ | g_i | 0.084 [0.037,0.131] | 0.123 [0.042,0.203] | 0.082 [0.031,0.132] |
| p_q | ~ | g_i | -0.094 [-0.152,-0.036] | -0.104 [-0.185,-0.023] | -0.056 [-0.114,0.002] |
| p_s | ~ | a_s | 0.649 [0.597,0.701] | 0.625 [0.57,0.68] | 0.76 [0.704,0.816] |
| p_q | ~ | a_s | -0.489 [-0.548,-0.43] | -0.525 [-0.586,-0.463] | -0.65 [-0.712,-0.587] |
| p_i | ~ | a_i | 0.658 [0.642,0.674] | 0.555 [0.538,0.572] | 0.692 [0.676,0.707] |
| p_s | ~ | a_i | 0.114 [0.075,0.154] | 0.002 [-0.038,0.042] | 0.026 [-0.015,0.068] |
| p_q | ~ | a_i | -0.082 [-0.125,-0.038] | -0.061 [-0.105,-0.018] | -0.115 [-0.161,-0.07] |
Visualization
simple_slope_lgc <- function(
fit,
focal,
time = seq(0, 3, by = 0.5),
covariates = c("g_i", "g_s", "a_i", "a_s", "dummy_sex")) {
pe <- lavaan::parameterEstimates(fit)
get_pe <- function(lhs, op, rhs = "") {
out <- pe[pe$lhs == lhs & pe$op == op & pe$rhs == rhs, "est"]
if (length(out) != 1) {
stop(sprintf(
"Expected 1 estimate for %s %s %s, got %d",
lhs, op, rhs, length(out)
))
}
out
}
get_mean <- function(var, sex_mean) {
get_pe(var, "~1") +
get_pe(var, "~", "dummy_sex") * sex_mean
}
get_sd <- function(var) {
sqrt(get_pe(var, "~~", var))
}
latent_base <- function(lhs, means) {
intercept <- get_pe(lhs, "~1")
effects <- sapply(names(means), function(v) {
idx <- pe$lhs == lhs & pe$op == "~" & pe$rhs == v
if (!any(idx)) {
return(0)
} # path fixed to 0 or not specified
pe$est[idx] * means[[v]]
})
intercept + sum(effects)
}
if (!"dummy_sex" %in% colnames(lavaan::lavInspect(fit, "data"))) {
stop("dummy_sex not found in model data")
}
sex_mean <- mean(lavaan::lavInspect(fit, "data")[, "dummy_sex"])
means <- setNames(
lapply(covariates, function(v) {
if (v == "dummy_sex") sex_mean else get_mean(v, sex_mean)
}),
covariates
)
if (!focal %in% names(means)) {
stop("focal predictor not found in covariates")
}
sd_focal <- get_sd(focal)
focal_levels <- list(
Low = means[[focal]] - sd_focal,
Mid = means[[focal]],
High = means[[focal]] + sd_focal
)
## Build trajectories
out <- lapply(names(focal_levels), function(level) {
means[[focal]] <- focal_levels[[level]]
p_i <- latent_base("p_i", means)
p_s <- latent_base("p_s", means)
p_q <- latent_base("p_q", means)
data.frame(
time = time,
y = p_i + p_s * time + p_q * time^2,
level = level
)
})
do.call(rbind, out) %>%
ggplot(aes(time, y, color = level)) +
geom_line(linewidth = 2) +
theme_bw() + # changing style/background
# setting the x-axis with breaks and labels
scale_x_continuous(
breaks = seq(0, 3, by = .5),
labels = paste0(10:16)
) +
scale_y_continuous(
limits = c(-0.7, 0.7),
breaks = c(-0.6, -0.3, 0, 0.3, .6),
labels = signs::signs_format(trim_leading_zeros = TRUE)
) +
scale_color_manual(
values = c(
"High" = "red",
"Mid" = "lightgreen",
"Low" = "blue"
),
breaks = c("High", "Mid", "Low")
) +
theme(
axis.title.y = element_blank(),
axis.title.x = element_blank(),
plot.title = element_text(hjust = 0.5)
)
}p, int, ext result plots
ggpubr::annotate_figure(
ggpubr::annotate_figure(
ggpubr::ggarrange(
simple_slope_lgc(readRDS("pgcm_pga6_sex_model.rds"), "g_i") +
labs(color = "Level of EV"),
simple_slope_lgc(readRDS("pgcm_pga6_sex_model.rds"), "g_s"),
simple_slope_lgc(readRDS("pgcm_pga6_sex_model.rds"), "a_i"),
simple_slope_lgc(readRDS("pgcm_pga6_sex_model.rds"), "a_s"),
simple_slope_lgc(readRDS("pgcm_Int_pga6_sex_model.rds"), "g_i"),
simple_slope_lgc(readRDS("pgcm_Int_pga6_sex_model.rds"), "g_s"),
simple_slope_lgc(readRDS("pgcm_Int_pga6_sex_model.rds"), "a_i"),
simple_slope_lgc(readRDS("pgcm_Int_pga6_sex_model.rds"), "a_s"),
simple_slope_lgc(readRDS("pgcm_Ext_pga6_sex_model.rds"), "g_i"),
simple_slope_lgc(readRDS("pgcm_Ext_pga6_sex_model.rds"), "g_s"),
simple_slope_lgc(readRDS("pgcm_Ext_pga6_sex_model.rds"), "a_i"),
simple_slope_lgc(readRDS("pgcm_Ext_pga6_sex_model.rds"), "a_s"),
common.legend = TRUE,
legend = "bottom",
ncol = 4,
nrow = 3
),
top = ggpubr::text_grob("g intercept g slope pp intercept pp slope", hjust = .54, size = 10),
bottom = ggpubr::text_grob("Age (Years Old)", size = 10),
left = ggpubr::text_grob("Externalizing Internalizing p factor", size = 10, rot = 90)
),
top = ggpubr::text_grob("Explanatory Variables (EV)", face = "bold", size = 10),
left = ggpubr::text_grob("Response Variables (RV)", face = "bold", size = 10, rot = 90)
)
simple_slope_lgc(readRDS("pgcm_pga6_sex_model.rds"), "g_i") +
theme(
text = element_text(size = 60),
legend.position = "none"
) +
geom_line(linewidth = 3)
simple_slope_lgc(readRDS("pgcm_pga6_sex_model.rds"), "g_s") +
theme(
text = element_text(size = 60),
legend.position = "none"
) +
geom_line(linewidth = 3)
simple_slope_lgc(readRDS("pgcm_pga6_sex_model.rds"), "a_i") +
theme(
text = element_text(size = 60),
legend.position = "none"
) +
geom_line(linewidth = 3)
simple_slope_lgc(readRDS("pgcm_pga6_sex_model.rds"), "a_s") +
theme(
text = element_text(size = 60),
legend.position = "none"
) +
geom_line(linewidth = 3)
simple_slope_lgc(readRDS("pgcm_Int_pga6_sex_model.rds"), "g_i") +
theme(
text = element_text(size = 60),
legend.position = "none"
) +
geom_line(linewidth = 3)
simple_slope_lgc(readRDS("pgcm_Int_pga6_sex_model.rds"), "g_s") +
theme(
text = element_text(size = 60),
legend.position = "none"
) +
geom_line(linewidth = 3)
simple_slope_lgc(readRDS("pgcm_Int_pga6_sex_model.rds"), "a_i") +
theme(
text = element_text(size = 60),
legend.position = "none"
) +
geom_line(linewidth = 3)
simple_slope_lgc(readRDS("pgcm_Int_pga6_sex_model.rds"), "a_s") +
theme(
text = element_text(size = 60),
legend.position = "none"
) +
geom_line(linewidth = 3)
simple_slope_lgc(readRDS("pgcm_Ext_pga6_sex_model.rds"), "g_i") +
theme(
text = element_text(size = 60),
legend.position = "none"
) +
geom_line(linewidth = 3)
simple_slope_lgc(readRDS("pgcm_Ext_pga6_sex_model.rds"), "g_s") +
theme(
text = element_text(size = 60),
legend.position = "none"
) +
geom_line(linewidth = 3)
simple_slope_lgc(readRDS("pgcm_Ext_pga6_sex_model.rds"), "a_i") +
theme(
text = element_text(size = 60),
legend.position = "none"
) +
geom_line(linewidth = 3)
simple_slope_lgc(readRDS("pgcm_Ext_pga6_sex_model.rds"), "a_s") +
theme(
text = element_text(size = 60),
legend.position = "none"
) +
geom_line(linewidth = 3)
Commonality analysis
Our main models are models explained by pp and g
To determine how much variance in pc is uniquely explained by g, uniquely explained by pp, and jointly explained by both, we need two reduced models:
- model explained by g only and
- model explained by pp only
These models allow calculation of Unique g, Unique pp, and their Shared (Common) variance in explaining children’s psychopathology, externalizing and internalizing symptoms.
p factor model
pc ~ g model with sex
Children’s psychopathology (pc) was regressed on children’s cognitive functioning (g), with sex as a covariate.
model fit
pg6.sex.model <- "
# second-order pc factor
#factor loadings (with constraints)
p_etaB =~ 1*anxdep_comp_0+
lambda_CW*withdep_comp_0+
lambda_CS*soma_comp_0+
lambda_CC*socprob_comp_0+
lambda_CH*thouprob_comp_0+
lambda_CA*attprob_comp_0+
lambda_CR*rulebreak_comp_0+
lambda_CG*aggress_comp_0
p_eta1 =~ 1*anxdep_comp_1+
lambda_CW*withdep_comp_1+
lambda_CS*soma_comp_1+
lambda_CC*socprob_comp_1+
lambda_CH*thouprob_comp_1+
lambda_CA*attprob_comp_1+
lambda_CR*rulebreak_comp_1+
lambda_CG*aggress_comp_1
p_eta2 =~ 1*anxdep_comp_2+
lambda_CW*withdep_comp_2+
lambda_CS*soma_comp_2+
lambda_CC*socprob_comp_2+
lambda_CH*thouprob_comp_2+
lambda_CA*attprob_comp_2+
lambda_CR*rulebreak_comp_2+
lambda_CG*aggress_comp_2
p_eta3 =~ 1*anxdep_comp_3+
lambda_CW*withdep_comp_3+
lambda_CS*soma_comp_3+
lambda_CC*socprob_comp_3+
lambda_CH*thouprob_comp_3+
lambda_CA*attprob_comp_3+
lambda_CR*rulebreak_comp_3+
lambda_CG*aggress_comp_3
p_eta4 =~ 1*anxdep_comp_4+
lambda_CW*withdep_comp_4+
lambda_CS*soma_comp_4+
lambda_CC*socprob_comp_4+
lambda_CH*thouprob_comp_4+
lambda_CA*attprob_comp_4+
lambda_CR*rulebreak_comp_4+
lambda_CG*aggress_comp_4
p_eta5 =~ 1*anxdep_comp_5+
lambda_CW*withdep_comp_5+
lambda_CS*soma_comp_5+
lambda_CC*socprob_comp_5+
lambda_CH*thouprob_comp_5+
lambda_CA*attprob_comp_5+
lambda_CR*rulebreak_comp_5+
lambda_CG*aggress_comp_5
p_eta6 =~ 1*anxdep_comp_6+
lambda_CW*withdep_comp_6+
lambda_CS*soma_comp_6+
lambda_CC*socprob_comp_6+
lambda_CH*thouprob_comp_6+
lambda_CA*attprob_comp_6+
lambda_CR*rulebreak_comp_6+
lambda_CG*aggress_comp_6
#latent variable variances
p_etaB~~NA*p_etaB
p_eta1~~NA*p_eta1
p_eta2~~NA*p_eta2
p_eta3~~NA*p_eta3
p_eta4~~NA*p_eta4
p_eta5~~NA*p_eta5
p_eta6~~NA*p_eta6
#unique variances # No need to constrict these
anxdep_comp_0~~anxdep_comp_0
withdep_comp_0~~withdep_comp_0
soma_comp_0~~soma_comp_0
socprob_comp_0~~socprob_comp_0
thouprob_comp_0~~thouprob_comp_0
attprob_comp_0~~attprob_comp_0
rulebreak_comp_0~~rulebreak_comp_0
aggress_comp_0~~aggress_comp_0
anxdep_comp_1~~anxdep_comp_1
withdep_comp_1~~withdep_comp_1
soma_comp_1~~soma_comp_1
socprob_comp_1~~socprob_comp_1
thouprob_comp_1~~thouprob_comp_1
attprob_comp_1~~attprob_comp_1
rulebreak_comp_1~~rulebreak_comp_1
aggress_comp_1~~aggress_comp_1
anxdep_comp_2~~anxdep_comp_2
withdep_comp_2~~withdep_comp_2
soma_comp_2~~soma_comp_2
socprob_comp_2~~socprob_comp_2
thouprob_comp_2~~thouprob_comp_2
attprob_comp_2~~attprob_comp_2
rulebreak_comp_2~~rulebreak_comp_2
aggress_comp_2~~aggress_comp_2
anxdep_comp_3~~anxdep_comp_3
withdep_comp_3~~withdep_comp_3
soma_comp_3~~soma_comp_3
socprob_comp_3~~socprob_comp_3
thouprob_comp_3~~thouprob_comp_3
attprob_comp_3~~attprob_comp_3
rulebreak_comp_3~~rulebreak_comp_3
aggress_comp_3~~aggress_comp_3
anxdep_comp_4~~anxdep_comp_4
withdep_comp_4~~withdep_comp_4
soma_comp_4~~soma_comp_4
socprob_comp_4~~socprob_comp_4
thouprob_comp_4~~thouprob_comp_4
attprob_comp_4~~attprob_comp_4
rulebreak_comp_4~~rulebreak_comp_4
aggress_comp_4~~aggress_comp_4
anxdep_comp_5~~anxdep_comp_5
withdep_comp_5~~withdep_comp_5
soma_comp_5~~soma_comp_5
socprob_comp_5~~socprob_comp_5
thouprob_comp_5~~thouprob_comp_5
attprob_comp_5~~attprob_comp_5
rulebreak_comp_5~~rulebreak_comp_5
aggress_comp_5~~aggress_comp_5
anxdep_comp_6~~anxdep_comp_6
withdep_comp_6~~withdep_comp_6
soma_comp_6~~soma_comp_6
socprob_comp_6~~socprob_comp_6
thouprob_comp_6~~thouprob_comp_6
attprob_comp_6~~attprob_comp_6
rulebreak_comp_6~~rulebreak_comp_6
aggress_comp_6~~aggress_comp_6
#unique covariances
# Scores arcoss times
anxdep_comp_0~~anxdep_comp_1 + anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_1~~anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_2~~anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_3~~anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_4~~anxdep_comp_5+ anxdep_comp_6
anxdep_comp_5~~anxdep_comp_6
withdep_comp_0~~withdep_comp_1 + withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_1~~withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_2~~withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_3~~withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_4~~withdep_comp_5 + withdep_comp_6
withdep_comp_5~~withdep_comp_6
soma_comp_0~~soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_1~~soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_2~~soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_3~~soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_4~~soma_comp_5 + soma_comp_6
soma_comp_5~~soma_comp_6
socprob_comp_0~~socprob_comp_1 + socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_1~~socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_2~~socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_3~~socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_4~~socprob_comp_5 + socprob_comp_6
socprob_comp_5~~socprob_comp_6
thouprob_comp_0~~thouprob_comp_1 + thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_1~~thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_2~~thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_3~~thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_4~~thouprob_comp_5 + thouprob_comp_6
thouprob_comp_5~~thouprob_comp_6
attprob_comp_0~~attprob_comp_1 + attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_1~~attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_2~~attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_3~~attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_4~~attprob_comp_5 + attprob_comp_6
attprob_comp_5~~attprob_comp_6
rulebreak_comp_0~~rulebreak_comp_1 + rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_1~~rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_2~~rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_3~~rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_4~~rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_5~~rulebreak_comp_6
aggress_comp_0~~aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_1~~aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_2~~aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_3~~aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_4~~aggress_comp_5 + aggress_comp_6
aggress_comp_5~~aggress_comp_6
# Internalizeing subscale covariances
anxdep_comp_0~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_1~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_2~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_3~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_4~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_5~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_6~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
withdep_comp_0~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_1~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_2~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_3~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_4~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_5~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_6~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
# Externalizeing subscale covariances
rulebreak_comp_0~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_1~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_2~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_3~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_4~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_5~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_6~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
#observed variable intercepts
anxdep_comp_0~tau_CX*1
anxdep_comp_1~tau_CX*1
anxdep_comp_2~tau_CX*1
anxdep_comp_3~tau_CX*1
anxdep_comp_4~tau_CX*1
anxdep_comp_5~tau_CX*1
anxdep_comp_6~tau_CX*1
withdep_comp_0~tau_CW*1
withdep_comp_1~tau_CW*1
withdep_comp_2~tau_CW*1
withdep_comp_3~tau_CW*1
withdep_comp_4~tau_CW*1
withdep_comp_5~tau_CW*1
withdep_comp_6~tau_CW*1
soma_comp_0~tau_CS*1
soma_comp_1~tau_CS*1
soma_comp_2~tau_CS*1
soma_comp_3~tau_CS*1
soma_comp_4~tau_CS*1
soma_comp_5~tau_CS*1
soma_comp_6~tau_CS*1
socprob_comp_0~tau_CP*1
socprob_comp_1~tau_CP*1
socprob_comp_2~tau_CP*1
socprob_comp_3~tau_CP*1
socprob_comp_4~tau_CP*1
socprob_comp_5~tau_CP*1
socprob_comp_6~tau_CP*1
thouprob_comp_0~tau_CH*1
thouprob_comp_1~tau_CH*1
thouprob_comp_2~tau_CH*1
thouprob_comp_3~tau_CH*1
thouprob_comp_4~tau_CH*1
thouprob_comp_5~tau_CH*1
thouprob_comp_6~tau_CH*1
attprob_comp_0~tau_CA*1
attprob_comp_1~tau_CA*1
attprob_comp_2~tau_CA*1
attprob_comp_3~tau_CA*1
attprob_comp_4~tau_CA*1
attprob_comp_5~tau_CA*1
attprob_comp_6~tau_CA*1
rulebreak_comp_0~tau_CR*1
rulebreak_comp_1~tau_CR*1
rulebreak_comp_2~tau_CR*1
rulebreak_comp_3~tau_CR*1
rulebreak_comp_4~tau_CR*1
rulebreak_comp_5~tau_CR*1
rulebreak_comp_6~tau_CR*1
aggress_comp_0~tau_CG*1
aggress_comp_1~tau_CG*1
aggress_comp_2~tau_CG*1
aggress_comp_3~tau_CG*1
aggress_comp_4~tau_CG*1
aggress_comp_5~tau_CG*1
aggress_comp_6~tau_CG*1
#latent basis model
p_i =~ 1*p_etaB + 1*p_eta1 + 1*p_eta2 + 1*p_eta3 + 1*p_eta4 + 1*p_eta5 + 1*p_eta6
p_s =~ 0*p_etaB + .5*p_eta1 + 1*p_eta2 + 1.5*p_eta3 + 2*p_eta4 + 2.5*p_eta5 + 3*p_eta6
p_q =~ 0*p_etaB + .25*p_eta1 + 1*p_eta2 + 2.25*p_eta3 + 4*p_eta4 + 6.25*p_eta5 + 9*p_eta6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1 + dummy_sex
p_s~1 + dummy_sex
p_q~1 + dummy_sex
p_etaB ~ 0*1
p_eta1 ~ 0*1
p_eta2 ~ 0*1
p_eta3 ~ 0*1
p_eta4 ~ 0*1
p_eta5 ~ 0*1
p_eta6 ~ 0*1
# second-order g factor
#factor loadings # S & S2
g_etaB =~ 1*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ 1*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ 1*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ 1*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances
g_etaB~~NA*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1
#latent basis model
g_i =~ 1*g_etaB + 1*g_eta2 + 1*g_eta4 + 1*g_eta6
g_s =~ 0*g_etaB + 1*g_eta2 + 2*g_eta4 + 3*g_eta6
g_i~~NA*g_i
g_s~~NA*g_s
g_i~~g_s
g_i~1 + dummy_sex
g_s~1 + dummy_sex
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
# regression
p_i ~ g_i
p_s ~ g_i + g_s
p_q ~ g_i + g_s"
lavaan(pg6.sex.model,
data = readRDS("pga6_all_data_sex.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = T,
std.lv = T
) %>%
saveRDS("pgcm_pg6_sex_model.rds")result
readRDS("pgcm_pg6_sex_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
fm.args = list(robust = F),
rsq = T
) %>%
saveRDS("pgcm_pg6_sex_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_pg6_sex_model.rds"), "cor.lv"))$value [1] 6.572334732 4.260763112 2.183223001 0.891955294 0.726138815 0.224626098
[7] 0.220451884 0.212437158 0.188733315 0.155302836 0.144295553 0.081377921
[13] 0.058857642 0.056605325 0.016026348 0.006870966
readRDS("pgcm_pg6_sex_result.rds")lavaan 0.6-19 ended normally after 342 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 662
Number of equality constraints 121
Number of observations 11867
Number of missing patterns 683
Model Test User Model:
Test statistic 28183.800
Degrees of freedom 2537
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 595803.794
Degrees of freedom 2926
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.957
Tucker-Lewis Index (TLI) 0.950
Robust Comparative Fit Index (CFI) 0.954
Robust Tucker-Lewis Index (TLI) 0.947
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -692493.613
Loglikelihood unrestricted model (H1) -678401.713
Akaike (AIC) 1386069.225
Bayesian (BIC) 1390062.626
Sample-size adjusted Bayesian (SABIC) 1388343.390
Root Mean Square Error of Approximation:
RMSEA 0.029
90 Percent confidence interval - lower 0.029
90 Percent confidence interval - upper 0.029
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.035
90 Percent confidence interval - lower 0.034
90 Percent confidence interval - upper 0.035
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.060
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_etaB =~
anxd__0 1.000 0.690 0.687
wthd__0 (lm_W) 0.908 0.007 137.238 0.000 0.627 0.698
sm_cm_0 (lm_S) 0.774 0.007 106.984 0.000 0.534 0.536
scpr__0 (lm_C) 1.213 0.008 153.774 0.000 0.836 0.791
thpr__0 (lm_H) 1.197 0.008 152.118 0.000 0.825 0.791
attp__0 (lm_A) 1.088 0.008 144.369 0.000 0.750 0.749
rlbr__0 (lm_R) 1.012 0.006 162.999 0.000 0.698 0.713
aggr__0 (lm_G) 1.186 0.007 159.162 0.000 0.818 0.771
p_eta1 =~
anxd__1 1.000 0.676 0.674
wthd__1 (lm_W) 0.908 0.007 137.238 0.000 0.614 0.679
sm_cm_1 (lm_S) 0.774 0.007 106.984 0.000 0.523 0.527
scpr__1 (lm_C) 1.213 0.008 153.774 0.000 0.820 0.796
thpr__1 (lm_H) 1.197 0.008 152.118 0.000 0.809 0.781
attp__1 (lm_A) 1.088 0.008 144.369 0.000 0.736 0.745
rlbr__1 (lm_R) 1.012 0.006 162.999 0.000 0.685 0.705
aggr__1 (lm_G) 1.186 0.007 159.162 0.000 0.802 0.774
p_eta2 =~
anxd__2 1.000 0.670 0.681
wthd__2 (lm_W) 0.908 0.007 137.238 0.000 0.609 0.637
sm_cm_2 (lm_S) 0.774 0.007 106.984 0.000 0.519 0.540
scpr__2 (lm_C) 1.213 0.008 153.774 0.000 0.813 0.809
thpr__2 (lm_H) 1.197 0.008 152.118 0.000 0.802 0.796
attp__2 (lm_A) 1.088 0.008 144.369 0.000 0.729 0.751
rlbr__2 (lm_R) 1.012 0.006 162.999 0.000 0.678 0.697
aggr__2 (lm_G) 1.186 0.007 159.162 0.000 0.795 0.778
p_eta3 =~
anxd__3 1.000 0.659 0.665
wthd__3 (lm_W) 0.908 0.007 137.238 0.000 0.599 0.583
sm_cm_3 (lm_S) 0.774 0.007 106.984 0.000 0.510 0.533
scpr__3 (lm_C) 1.213 0.008 153.774 0.000 0.800 0.818
thpr__3 (lm_H) 1.197 0.008 152.118 0.000 0.789 0.802
attp__3 (lm_A) 1.088 0.008 144.369 0.000 0.717 0.747
rlbr__3 (lm_R) 1.012 0.006 162.999 0.000 0.668 0.682
aggr__3 (lm_G) 1.186 0.007 159.162 0.000 0.782 0.778
p_eta4 =~
anxd__4 1.000 0.655 0.673
wthd__4 (lm_W) 0.908 0.007 137.238 0.000 0.595 0.545
sm_cm_4 (lm_S) 0.774 0.007 106.984 0.000 0.507 0.506
scpr__4 (lm_C) 1.213 0.008 153.774 0.000 0.794 0.822
thpr__4 (lm_H) 1.197 0.008 152.118 0.000 0.784 0.809
attp__4 (lm_A) 1.088 0.008 144.369 0.000 0.713 0.759
rlbr__4 (lm_R) 1.012 0.006 162.999 0.000 0.663 0.624
aggr__4 (lm_G) 1.186 0.007 159.162 0.000 0.777 0.796
p_eta5 =~
anxd__5 1.000 0.647 0.658
wthd__5 (lm_W) 0.908 0.007 137.238 0.000 0.587 0.522
sm_cm_5 (lm_S) 0.774 0.007 106.984 0.000 0.500 0.468
scpr__5 (lm_C) 1.213 0.008 153.774 0.000 0.784 0.822
thpr__5 (lm_H) 1.197 0.008 152.118 0.000 0.774 0.783
attp__5 (lm_A) 1.088 0.008 144.369 0.000 0.703 0.747
rlbr__5 (lm_R) 1.012 0.006 162.999 0.000 0.655 0.559
aggr__5 (lm_G) 1.186 0.007 159.162 0.000 0.767 0.792
p_eta6 =~
anxd__6 1.000 0.616 0.661
wthd__6 (lm_W) 0.908 0.007 137.238 0.000 0.559 0.519
sm_cm_6 (lm_S) 0.774 0.007 106.984 0.000 0.476 0.447
scpr__6 (lm_C) 1.213 0.008 153.774 0.000 0.747 0.830
thpr__6 (lm_H) 1.197 0.008 152.118 0.000 0.737 0.803
attp__6 (lm_A) 1.088 0.008 144.369 0.000 0.670 0.742
rlbr__6 (lm_R) 1.012 0.006 162.999 0.000 0.623 0.530
aggr__6 (lm_G) 1.186 0.007 159.162 0.000 0.730 0.803
p_i =~
p_etaB 1.000 0.918 0.918
p_eta1 1.000 0.936 0.936
p_eta2 1.000 0.945 0.945
p_eta3 1.000 0.960 0.960
p_eta4 1.000 0.967 0.967
p_eta5 1.000 0.979 0.979
p_eta6 1.000 1.028 1.028
p_s =~
p_etaB 0.000 0.000 0.000
p_eta1 0.500 0.284 0.284
p_eta2 1.000 0.574 0.574
p_eta3 1.500 0.875 0.875
p_eta4 2.000 1.174 1.174
p_eta5 2.500 1.487 1.487
p_eta6 3.000 1.874 1.874
p_q =~
p_etaB 0.000 0.000 0.000
p_eta1 0.250 0.041 0.041
p_eta2 1.000 0.166 0.166
p_eta3 2.250 0.379 0.379
p_eta4 4.000 0.678 0.678
p_eta5 6.250 1.073 1.073
p_eta6 9.000 1.623 1.623
g_etaB =~
flnkr_0 1.000 0.459 0.495
pttrn_0 (lm_R) 1.012 0.006 162.999 0.000 0.465 0.611
pictr_0 (lm_M) 0.540 0.008 67.724 0.000 0.248 0.294
pcvcb_0 (lm_P) 0.838 0.007 122.172 0.000 0.385 0.460
redng_0 (lm_V) 0.885 0.007 128.145 0.000 0.407 0.476
g_eta2 =~
flnkr_2 1.000 0.466 0.575
pttrn_2 (lm_R) 1.012 0.006 162.999 0.000 0.472 0.617
pictr_2 (lm_M) 0.540 0.008 67.724 0.000 0.252 0.282
pcvcb_2 (lm_P) 0.838 0.007 122.172 0.000 0.391 0.448
redng_2 (lm_V) 0.885 0.007 128.145 0.000 0.413 0.490
g_eta4 =~
flnkr_4 1.000 0.498 0.616
pttrn_4 (lm_R) 1.012 0.006 162.999 0.000 0.504 0.613
pictr_4 (lm_M) 0.540 0.008 67.724 0.000 0.269 0.254
pcvcb_4 (lm_P) 0.838 0.007 122.172 0.000 0.418 0.453
redng_4 (lm_V) 0.885 0.007 128.145 0.000 0.441 0.479
g_eta6 =~
flnkr_6 1.000 0.552 0.645
pttrn_6 (lm_R) 1.012 0.006 162.999 0.000 0.559 0.659
pictr_6 (lm_M) 0.540 0.008 67.724 0.000 0.298 0.281
pcvcb_6 (lm_P) 0.838 0.007 122.172 0.000 0.463 0.498
redng_6 (lm_V) 0.885 0.007 128.145 0.000 0.489 0.507
g_i =~
g_etaB 1.000 0.960 0.960
g_eta2 1.000 0.945 0.945
g_eta4 1.000 0.885 0.885
g_eta6 1.000 0.799 0.799
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.111 0.111
g_eta4 2.000 0.207 0.207
g_eta6 3.000 0.280 0.280
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i ~
dummy_sex 0.140 0.013 10.675 0.000 0.222 0.111
p_s ~
dummy_sex -0.046 0.013 -3.525 0.000 -0.119 -0.060
p_q ~
dummy_sex -0.008 0.004 -1.989 0.047 -0.075 -0.037
g_i ~
dummy_sex -0.034 0.011 -3.252 0.001 -0.078 -0.039
g_s ~
dummy_sex 0.006 0.004 1.650 0.099 0.123 0.061
p_i ~
g_i -0.315 0.018 -17.149 0.000 -0.220 -0.220
p_s ~
g_i 0.119 0.028 4.337 0.000 0.137 0.137
g_s -0.849 0.520 -1.633 0.102 -0.114 -0.114
p_q ~
g_i -0.024 0.009 -2.728 0.006 -0.096 -0.096
g_s 0.251 0.168 1.498 0.134 0.117 0.117
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.anxdep_comp_0 ~~
.anxdep_comp_1 0.329 0.007 49.734 0.000 0.329 0.608
.anxdep_comp_2 0.289 0.006 45.818 0.000 0.289 0.549
.anxdep_comp_3 0.262 0.006 40.904 0.000 0.262 0.485
.anxdep_comp_4 0.235 0.006 37.425 0.000 0.235 0.447
.anxdep_comp_5 0.218 0.007 33.095 0.000 0.218 0.403
.anxdep_comp_6 0.192 0.007 26.065 0.000 0.192 0.376
.anxdep_comp_1 ~~
.anxdep_comp_2 0.320 0.007 48.486 0.000 0.320 0.598
.anxdep_comp_3 0.287 0.007 43.179 0.000 0.287 0.523
.anxdep_comp_4 0.247 0.006 38.228 0.000 0.247 0.462
.anxdep_comp_5 0.242 0.007 35.644 0.000 0.242 0.442
.anxdep_comp_6 0.208 0.008 27.336 0.000 0.208 0.401
.anxdep_comp_2 ~~
.anxdep_comp_3 0.332 0.007 49.191 0.000 0.332 0.621
.anxdep_comp_4 0.284 0.006 43.810 0.000 0.284 0.546
.anxdep_comp_5 0.266 0.007 39.699 0.000 0.266 0.499
.anxdep_comp_6 0.230 0.007 31.196 0.000 0.230 0.457
.anxdep_comp_3 ~~
.anxdep_comp_4 0.322 0.007 46.772 0.000 0.322 0.603
.anxdep_comp_5 0.303 0.007 42.528 0.000 0.303 0.554
.anxdep_comp_6 0.256 0.008 33.786 0.000 0.256 0.494
.anxdep_comp_4 ~~
.anxdep_comp_5 0.353 0.007 48.044 0.000 0.353 0.661
.anxdep_comp_6 0.284 0.008 36.889 0.000 0.284 0.563
.anxdep_comp_5 ~~
.anxdep_comp_6 0.324 0.008 39.790 0.000 0.324 0.626
.withdep_comp_0 ~~
.withdep_comp_1 0.241 0.005 45.743 0.000 0.241 0.565
.withdep_comp_2 0.206 0.005 37.824 0.000 0.206 0.435
.withdep_comp_3 0.172 0.006 28.604 0.000 0.172 0.321
.withdep_comp_4 0.138 0.007 20.686 0.000 0.138 0.235
.withdep_comp_5 0.119 0.007 16.425 0.000 0.119 0.193
.withdep_comp_6 0.096 0.008 11.478 0.000 0.096 0.161
.withdep_comp_1 ~~
.withdep_comp_2 0.266 0.006 45.453 0.000 0.266 0.543
.withdep_comp_3 0.246 0.006 38.099 0.000 0.246 0.444
.withdep_comp_4 0.213 0.007 30.070 0.000 0.213 0.350
.withdep_comp_5 0.195 0.008 25.469 0.000 0.195 0.306
.withdep_comp_6 0.158 0.009 18.322 0.000 0.158 0.257
.withdep_comp_2 ~~
.withdep_comp_3 0.350 0.008 46.330 0.000 0.350 0.567
.withdep_comp_4 0.325 0.008 39.460 0.000 0.325 0.481
.withdep_comp_5 0.301 0.009 34.144 0.000 0.301 0.425
.withdep_comp_6 0.252 0.010 25.174 0.000 0.252 0.371
.withdep_comp_3 ~~
.withdep_comp_4 0.458 0.010 46.509 0.000 0.458 0.599
.withdep_comp_5 0.442 0.010 42.246 0.000 0.442 0.551
.withdep_comp_6 0.368 0.011 32.447 0.000 0.368 0.478
.withdep_comp_4 ~~
.withdep_comp_5 0.579 0.012 47.832 0.000 0.579 0.659
.withdep_comp_6 0.489 0.013 38.084 0.000 0.489 0.579
.withdep_comp_5 ~~
.withdep_comp_6 0.585 0.014 41.687 0.000 0.585 0.660
.soma_comp_0 ~~
.soma_comp_1 0.367 0.008 46.557 0.000 0.367 0.517
.soma_comp_2 0.311 0.007 41.491 0.000 0.311 0.457
.soma_comp_3 0.276 0.007 36.830 0.000 0.276 0.405
.soma_comp_4 0.265 0.008 32.726 0.000 0.265 0.364
.soma_comp_5 0.263 0.009 28.888 0.000 0.263 0.331
.soma_comp_6 0.258 0.011 23.708 0.000 0.258 0.322
.soma_comp_1 ~~
.soma_comp_2 0.346 0.008 44.915 0.000 0.346 0.507
.soma_comp_3 0.301 0.008 39.299 0.000 0.301 0.441
.soma_comp_4 0.289 0.008 35.201 0.000 0.289 0.396
.soma_comp_5 0.294 0.009 31.784 0.000 0.294 0.369
.soma_comp_6 0.270 0.011 24.397 0.000 0.270 0.335
.soma_comp_2 ~~
.soma_comp_3 0.334 0.008 44.236 0.000 0.334 0.510
.soma_comp_4 0.315 0.008 39.054 0.000 0.315 0.452
.soma_comp_5 0.310 0.009 34.742 0.000 0.310 0.407
.soma_comp_6 0.285 0.010 27.244 0.000 0.285 0.370
.soma_comp_3 ~~
.soma_comp_4 0.351 0.008 41.953 0.000 0.351 0.502
.soma_comp_5 0.340 0.009 36.755 0.000 0.340 0.444
.soma_comp_6 0.324 0.011 30.320 0.000 0.324 0.420
.soma_comp_4 ~~
.soma_comp_5 0.457 0.010 43.982 0.000 0.457 0.560
.soma_comp_6 0.425 0.012 35.155 0.000 0.425 0.516
.soma_comp_5 ~~
.soma_comp_6 0.538 0.014 39.701 0.000 0.538 0.598
.socprob_comp_0 ~~
.socprob_comp_1 0.195 0.005 35.874 0.000 0.195 0.482
.socprob_comp_2 0.159 0.005 31.366 0.000 0.159 0.415
.socprob_comp_3 0.123 0.005 25.554 0.000 0.123 0.338
.socprob_comp_4 0.099 0.005 20.888 0.000 0.099 0.279
.socprob_comp_5 0.087 0.005 17.933 0.000 0.087 0.246
.socprob_comp_6 0.071 0.005 13.034 0.000 0.071 0.217
.socprob_comp_1 ~~
.socprob_comp_2 0.175 0.005 34.693 0.000 0.175 0.474
.socprob_comp_3 0.137 0.005 28.741 0.000 0.137 0.391
.socprob_comp_4 0.108 0.005 23.184 0.000 0.108 0.316
.socprob_comp_5 0.092 0.005 19.563 0.000 0.092 0.273
.socprob_comp_6 0.085 0.005 16.049 0.000 0.085 0.271
.socprob_comp_2 ~~
.socprob_comp_3 0.157 0.005 33.199 0.000 0.157 0.472
.socprob_comp_4 0.133 0.005 28.967 0.000 0.133 0.411
.socprob_comp_5 0.110 0.005 23.724 0.000 0.110 0.343
.socprob_comp_6 0.098 0.005 19.482 0.000 0.098 0.331
.socprob_comp_3 ~~
.socprob_comp_4 0.141 0.005 30.970 0.000 0.141 0.456
.socprob_comp_5 0.125 0.005 27.045 0.000 0.125 0.411
.socprob_comp_6 0.108 0.005 21.600 0.000 0.108 0.380
.socprob_comp_4 ~~
.socprob_comp_5 0.152 0.005 32.078 0.000 0.152 0.510
.socprob_comp_6 0.130 0.005 25.267 0.000 0.130 0.469
.socprob_comp_5 ~~
.socprob_comp_6 0.147 0.005 27.762 0.000 0.147 0.539
.thouprob_comp_0 ~~
.thouprob_cmp_1 0.198 0.005 37.027 0.000 0.198 0.479
.thouprob_cmp_2 0.159 0.005 31.820 0.000 0.159 0.409
.thouprob_cmp_3 0.134 0.005 27.531 0.000 0.134 0.357
.thouprob_cmp_4 0.117 0.005 24.271 0.000 0.117 0.323
.thouprob_cmp_5 0.114 0.005 21.705 0.000 0.114 0.291
.thouprob_cmp_6 0.085 0.006 14.562 0.000 0.085 0.243
.thouprob_comp_1 ~~
.thouprob_cmp_2 0.189 0.005 36.086 0.000 0.189 0.478
.thouprob_cmp_3 0.154 0.005 30.525 0.000 0.154 0.406
.thouprob_cmp_4 0.134 0.005 26.960 0.000 0.134 0.364
.thouprob_cmp_5 0.143 0.005 26.331 0.000 0.143 0.358
.thouprob_cmp_6 0.102 0.006 17.316 0.000 0.102 0.287
.thouprob_comp_2 ~~
.thouprob_cmp_3 0.160 0.005 32.628 0.000 0.160 0.448
.thouprob_cmp_4 0.134 0.005 27.983 0.000 0.134 0.386
.thouprob_cmp_5 0.134 0.005 25.823 0.000 0.134 0.358
.thouprob_cmp_6 0.093 0.006 16.556 0.000 0.093 0.279
.thouprob_comp_3 ~~
.thouprob_cmp_4 0.140 0.005 29.385 0.000 0.140 0.419
.thouprob_cmp_5 0.133 0.005 25.769 0.000 0.133 0.369
.thouprob_cmp_6 0.092 0.005 16.826 0.000 0.092 0.287
.thouprob_comp_4 ~~
.thouprob_cmp_5 0.174 0.005 32.853 0.000 0.174 0.495
.thouprob_cmp_6 0.126 0.006 22.778 0.000 0.126 0.406
.thouprob_comp_5 ~~
.thouprob_cmp_6 0.168 0.006 27.404 0.000 0.168 0.501
.attprob_comp_0 ~~
.attprob_comp_1 0.292 0.006 50.783 0.000 0.292 0.666
.attprob_comp_2 0.259 0.005 47.260 0.000 0.259 0.609
.attprob_comp_3 0.240 0.005 44.343 0.000 0.240 0.567
.attprob_comp_4 0.210 0.005 40.247 0.000 0.210 0.517
.attprob_comp_5 0.211 0.005 38.721 0.000 0.211 0.507
.attprob_comp_6 0.186 0.006 30.834 0.000 0.186 0.462
.attprob_comp_1 ~~
.attprob_comp_2 0.281 0.006 50.015 0.000 0.281 0.665
.attprob_comp_3 0.258 0.006 46.666 0.000 0.258 0.612
.attprob_comp_4 0.220 0.005 41.721 0.000 0.220 0.546
.attprob_comp_5 0.222 0.005 40.709 0.000 0.222 0.539
.attprob_comp_6 0.198 0.006 32.841 0.000 0.198 0.497
.attprob_comp_2 ~~
.attprob_comp_3 0.270 0.006 48.919 0.000 0.270 0.660
.attprob_comp_4 0.232 0.005 44.288 0.000 0.232 0.592
.attprob_comp_5 0.235 0.005 43.135 0.000 0.235 0.586
.attprob_comp_6 0.207 0.006 35.016 0.000 0.207 0.534
.attprob_comp_3 ~~
.attprob_comp_4 0.252 0.005 46.690 0.000 0.252 0.645
.attprob_comp_5 0.246 0.006 44.375 0.000 0.246 0.615
.attprob_comp_6 0.215 0.006 36.365 0.000 0.215 0.558
.attprob_comp_4 ~~
.attprob_comp_5 0.261 0.006 46.766 0.000 0.261 0.681
.attprob_comp_6 0.230 0.006 38.761 0.000 0.230 0.620
.attprob_comp_5 ~~
.attprob_comp_6 0.260 0.006 41.421 0.000 0.260 0.687
.rulebreak_comp_0 ~~
.rulebrek_cmp_1 0.289 0.006 48.736 0.000 0.289 0.611
.rulebrek_cmp_2 0.252 0.006 43.005 0.000 0.252 0.526
.rulebrek_cmp_3 0.233 0.006 38.729 0.000 0.233 0.475
.rulebrek_cmp_4 0.234 0.007 33.832 0.000 0.234 0.411
.rulebrek_cmp_5 0.259 0.008 31.727 0.000 0.259 0.388
.rulebrek_cmp_6 0.216 0.010 22.381 0.000 0.216 0.316
.rulebreak_comp_1 ~~
.rulebrek_cmp_2 0.277 0.006 45.871 0.000 0.277 0.576
.rulebrek_cmp_3 0.262 0.006 42.294 0.000 0.262 0.532
.rulebrek_cmp_4 0.273 0.007 38.416 0.000 0.273 0.478
.rulebrek_cmp_5 0.270 0.008 32.804 0.000 0.270 0.405
.rulebrek_cmp_6 0.244 0.010 24.784 0.000 0.244 0.356
.rulebreak_comp_2 ~~
.rulebrek_cmp_3 0.297 0.007 45.567 0.000 0.297 0.595
.rulebrek_cmp_4 0.293 0.007 39.995 0.000 0.293 0.506
.rulebrek_cmp_5 0.326 0.009 37.976 0.000 0.326 0.481
.rulebrek_cmp_6 0.305 0.010 29.997 0.000 0.305 0.438
.rulebreak_comp_3 ~~
.rulebrek_cmp_4 0.338 0.008 43.287 0.000 0.338 0.568
.rulebrek_cmp_5 0.355 0.009 39.098 0.000 0.355 0.510
.rulebrek_cmp_6 0.345 0.010 33.205 0.000 0.345 0.482
.rulebreak_comp_4 ~~
.rulebrek_cmp_5 0.518 0.011 47.053 0.000 0.518 0.644
.rulebrek_cmp_6 0.497 0.013 39.477 0.000 0.497 0.601
.rulebreak_comp_5 ~~
.rulebrek_cmp_6 0.694 0.015 45.726 0.000 0.694 0.718
.aggress_comp_0 ~~
.aggress_comp_1 0.291 0.006 48.790 0.000 0.291 0.655
.aggress_comp_2 0.262 0.006 45.620 0.000 0.262 0.604
.aggress_comp_3 0.225 0.006 40.258 0.000 0.225 0.528
.aggress_comp_4 0.199 0.005 37.555 0.000 0.199 0.498
.aggress_comp_5 0.191 0.005 35.341 0.000 0.191 0.479
.aggress_comp_6 0.157 0.006 27.310 0.000 0.157 0.427
.aggress_comp_1 ~~
.aggress_comp_2 0.270 0.006 47.209 0.000 0.270 0.641
.aggress_comp_3 0.240 0.006 43.003 0.000 0.240 0.578
.aggress_comp_4 0.205 0.005 39.216 0.000 0.205 0.529
.aggress_comp_5 0.192 0.005 35.991 0.000 0.192 0.494
.aggress_comp_6 0.159 0.006 27.999 0.000 0.159 0.447
.aggress_comp_2 ~~
.aggress_comp_3 0.262 0.006 46.261 0.000 0.262 0.646
.aggress_comp_4 0.216 0.005 41.165 0.000 0.216 0.570
.aggress_comp_5 0.209 0.005 39.114 0.000 0.209 0.551
.aggress_comp_6 0.179 0.006 31.890 0.000 0.179 0.515
.aggress_comp_3 ~~
.aggress_comp_4 0.237 0.005 43.974 0.000 0.237 0.635
.aggress_comp_5 0.219 0.005 40.360 0.000 0.219 0.586
.aggress_comp_6 0.189 0.006 33.823 0.000 0.189 0.552
.aggress_comp_4 ~~
.aggress_comp_5 0.234 0.005 43.739 0.000 0.234 0.669
.aggress_comp_6 0.197 0.005 35.840 0.000 0.197 0.613
.aggress_comp_5 ~~
.aggress_comp_6 0.220 0.006 38.352 0.000 0.220 0.687
.anxdep_comp_0 ~~
.withdep_comp_0 0.105 0.005 20.478 0.000 0.105 0.225
.soma_comp_0 0.130 0.006 20.377 0.000 0.130 0.212
.withdep_comp_1 0.088 0.005 16.859 0.000 0.088 0.181
.soma_comp_1 0.089 0.006 14.042 0.000 0.089 0.145
.withdep_comp_2 0.095 0.006 16.447 0.000 0.095 0.176
.soma_comp_2 0.083 0.006 13.466 0.000 0.083 0.141
.withdep_comp_3 0.111 0.007 16.586 0.000 0.111 0.182
.soma_comp_3 0.083 0.006 13.185 0.000 0.083 0.141
.withdep_comp_4 0.099 0.007 13.206 0.000 0.099 0.148
.soma_comp_4 0.095 0.007 13.749 0.000 0.095 0.150
.withdep_comp_5 0.098 0.008 11.930 0.000 0.098 0.140
.soma_comp_5 0.079 0.008 10.079 0.000 0.079 0.114
.withdep_comp_6 0.084 0.009 8.954 0.000 0.084 0.125
.soma_comp_6 0.085 0.010 8.836 0.000 0.085 0.122
.withdep_comp_0 ~~
.anxdep_comp_1 0.070 0.005 13.649 0.000 0.070 0.148
.soma_comp_0 ~~
.anxdep_comp_1 0.105 0.006 16.219 0.000 0.105 0.168
.anxdep_comp_1 ~~
.withdep_comp_1 0.111 0.005 20.499 0.000 0.111 0.226
.soma_comp_1 0.121 0.007 18.355 0.000 0.121 0.194
.withdep_comp_2 0.100 0.006 16.954 0.000 0.100 0.183
.soma_comp_2 0.089 0.006 14.048 0.000 0.089 0.148
.withdep_comp_3 0.125 0.007 18.287 0.000 0.125 0.202
.soma_comp_3 0.085 0.006 13.191 0.000 0.085 0.141
.withdep_comp_4 0.116 0.008 15.071 0.000 0.116 0.170
.soma_comp_4 0.101 0.007 14.313 0.000 0.101 0.157
.withdep_comp_5 0.133 0.008 15.767 0.000 0.133 0.187
.soma_comp_5 0.102 0.008 12.726 0.000 0.102 0.145
.withdep_comp_6 0.108 0.010 11.177 0.000 0.108 0.157
.soma_comp_6 0.090 0.010 9.136 0.000 0.090 0.127
.withdep_comp_0 ~~
.anxdep_comp_2 0.077 0.005 15.141 0.000 0.077 0.166
.soma_comp_0 ~~
.anxdep_comp_2 0.102 0.006 15.981 0.000 0.102 0.168
.withdep_comp_1 ~~
.anxdep_comp_2 0.096 0.005 18.284 0.000 0.096 0.200
.soma_comp_1 ~~
.anxdep_comp_2 0.092 0.006 14.349 0.000 0.092 0.151
.anxdep_comp_2 ~~
.withdep_comp_2 0.157 0.006 26.278 0.000 0.157 0.295
.soma_comp_2 0.124 0.006 19.797 0.000 0.124 0.213
.withdep_comp_3 0.147 0.007 21.911 0.000 0.147 0.244
.soma_comp_3 0.103 0.006 16.303 0.000 0.103 0.177
.withdep_comp_4 0.135 0.007 17.975 0.000 0.135 0.204
.soma_comp_4 0.117 0.007 17.004 0.000 0.117 0.188
.withdep_comp_5 0.125 0.008 15.401 0.000 0.125 0.181
.soma_comp_5 0.104 0.008 13.403 0.000 0.104 0.152
.withdep_comp_6 0.100 0.009 10.805 0.000 0.100 0.150
.soma_comp_6 0.096 0.009 10.154 0.000 0.096 0.139
.withdep_comp_0 ~~
.anxdep_comp_3 0.062 0.005 11.835 0.000 0.062 0.131
.soma_comp_0 ~~
.anxdep_comp_3 0.108 0.007 16.261 0.000 0.108 0.173
.withdep_comp_1 ~~
.anxdep_comp_3 0.082 0.005 15.033 0.000 0.082 0.166
.soma_comp_1 ~~
.anxdep_comp_3 0.097 0.007 14.545 0.000 0.097 0.155
.withdep_comp_2 ~~
.anxdep_comp_3 0.124 0.006 20.469 0.000 0.124 0.227
.soma_comp_2 ~~
.anxdep_comp_3 0.106 0.006 16.582 0.000 0.106 0.178
.anxdep_comp_3 ~~
.withdep_comp_3 0.206 0.007 28.665 0.000 0.206 0.333
.soma_comp_3 0.141 0.007 21.169 0.000 0.141 0.235
.withdep_comp_4 0.166 0.008 21.252 0.000 0.166 0.246
.soma_comp_4 0.148 0.007 20.530 0.000 0.148 0.232
.withdep_comp_5 0.165 0.009 19.321 0.000 0.165 0.232
.soma_comp_5 0.142 0.008 17.436 0.000 0.142 0.203
.withdep_comp_6 0.126 0.009 13.491 0.000 0.126 0.185
.soma_comp_6 0.148 0.010 15.383 0.000 0.148 0.210
.withdep_comp_0 ~~
.anxdep_comp_4 0.044 0.005 8.428 0.000 0.044 0.096
.soma_comp_0 ~~
.anxdep_comp_4 0.088 0.007 13.407 0.000 0.088 0.146
.withdep_comp_1 ~~
.anxdep_comp_4 0.065 0.005 12.029 0.000 0.065 0.135
.soma_comp_1 ~~
.anxdep_comp_4 0.085 0.007 12.895 0.000 0.085 0.140
.withdep_comp_2 ~~
.anxdep_comp_4 0.098 0.006 16.363 0.000 0.098 0.185
.soma_comp_2 ~~
.anxdep_comp_4 0.090 0.006 14.089 0.000 0.090 0.155
.withdep_comp_3 ~~
.anxdep_comp_4 0.147 0.007 21.126 0.000 0.147 0.244
.soma_comp_3 ~~
.anxdep_comp_4 0.110 0.007 16.730 0.000 0.110 0.188
.anxdep_comp_4 ~~
.withdep_comp_4 0.228 0.008 28.462 0.000 0.228 0.346
.soma_comp_4 0.168 0.007 23.373 0.000 0.168 0.270
.withdep_comp_5 0.188 0.009 22.094 0.000 0.188 0.272
.soma_comp_5 0.157 0.008 19.484 0.000 0.157 0.231
.withdep_comp_6 0.147 0.009 15.705 0.000 0.147 0.222
.soma_comp_6 0.156 0.010 16.229 0.000 0.156 0.227
.withdep_comp_0 ~~
.anxdep_comp_5 0.041 0.006 7.360 0.000 0.041 0.086
.soma_comp_0 ~~
.anxdep_comp_5 0.081 0.007 11.550 0.000 0.081 0.130
.withdep_comp_1 ~~
.anxdep_comp_5 0.065 0.006 11.466 0.000 0.065 0.133
.soma_comp_1 ~~
.anxdep_comp_5 0.089 0.007 12.684 0.000 0.089 0.143
.withdep_comp_2 ~~
.anxdep_comp_5 0.104 0.006 16.327 0.000 0.104 0.190
.soma_comp_2 ~~
.anxdep_comp_5 0.097 0.007 14.283 0.000 0.097 0.162
.withdep_comp_3 ~~
.anxdep_comp_5 0.155 0.007 21.139 0.000 0.155 0.251
.soma_comp_3 ~~
.anxdep_comp_5 0.106 0.007 15.249 0.000 0.106 0.176
.withdep_comp_4 ~~
.anxdep_comp_5 0.197 0.008 23.892 0.000 0.197 0.292
.soma_comp_4 ~~
.anxdep_comp_5 0.160 0.008 21.113 0.000 0.160 0.250
.anxdep_comp_5 ~~
.withdep_comp_5 0.273 0.009 29.735 0.000 0.273 0.384
.soma_comp_5 0.202 0.008 23.743 0.000 0.202 0.288
.withdep_comp_6 0.177 0.010 18.090 0.000 0.177 0.259
.soma_comp_6 0.173 0.010 17.267 0.000 0.173 0.245
.withdep_comp_0 ~~
.anxdep_comp_6 0.046 0.006 7.163 0.000 0.046 0.103
.soma_comp_0 ~~
.anxdep_comp_6 0.072 0.008 9.123 0.000 0.072 0.123
.withdep_comp_1 ~~
.anxdep_comp_6 0.065 0.007 10.053 0.000 0.065 0.141
.soma_comp_1 ~~
.anxdep_comp_6 0.076 0.008 9.416 0.000 0.076 0.128
.withdep_comp_2 ~~
.anxdep_comp_6 0.097 0.007 12.971 0.000 0.097 0.187
.soma_comp_2 ~~
.anxdep_comp_6 0.093 0.008 12.206 0.000 0.093 0.164
.withdep_comp_3 ~~
.anxdep_comp_6 0.141 0.008 16.958 0.000 0.141 0.241
.soma_comp_3 ~~
.anxdep_comp_6 0.084 0.008 10.971 0.000 0.084 0.148
.withdep_comp_4 ~~
.anxdep_comp_6 0.171 0.009 18.649 0.000 0.171 0.268
.soma_comp_4 ~~
.anxdep_comp_6 0.123 0.009 14.516 0.000 0.123 0.204
.withdep_comp_5 ~~
.anxdep_comp_6 0.203 0.010 20.536 0.000 0.203 0.302
.soma_comp_5 ~~
.anxdep_comp_6 0.135 0.009 14.500 0.000 0.135 0.204
.anxdep_comp_6 ~~
.withdep_comp_6 0.245 0.010 23.762 0.000 0.245 0.380
.soma_comp_6 0.185 0.010 18.414 0.000 0.185 0.278
.withdep_comp_0 ~~
.soma_comp_0 0.056 0.006 10.173 0.000 0.056 0.104
.soma_comp_1 0.054 0.006 9.574 0.000 0.054 0.100
.soma_comp_2 0.040 0.005 7.218 0.000 0.040 0.076
.soma_comp_3 0.028 0.006 4.960 0.000 0.028 0.054
.soma_comp_4 0.021 0.006 3.403 0.001 0.021 0.038
.soma_comp_5 -0.005 0.007 -0.776 0.437 -0.005 -0.009
.soma_comp_6 -0.004 0.009 -0.448 0.654 -0.004 -0.006
.soma_comp_0 ~~
.withdep_comp_1 0.039 0.006 6.890 0.000 0.039 0.071
.withdep_comp_1 ~~
.soma_comp_1 0.070 0.006 11.962 0.000 0.070 0.124
.soma_comp_2 0.052 0.006 9.184 0.000 0.052 0.096
.soma_comp_3 0.052 0.006 9.037 0.000 0.052 0.097
.soma_comp_4 0.041 0.006 6.487 0.000 0.041 0.071
.soma_comp_5 0.038 0.007 5.266 0.000 0.038 0.060
.soma_comp_6 0.022 0.009 2.495 0.013 0.022 0.034
.soma_comp_0 ~~
.withdep_comp_2 0.055 0.006 8.650 0.000 0.055 0.089
.soma_comp_1 ~~
.withdep_comp_2 0.070 0.006 10.866 0.000 0.070 0.113
.withdep_comp_2 ~~
.soma_comp_2 0.087 0.006 13.859 0.000 0.087 0.145
.soma_comp_3 0.066 0.006 10.277 0.000 0.066 0.110
.soma_comp_4 0.083 0.007 11.884 0.000 0.083 0.130
.soma_comp_5 0.076 0.008 9.656 0.000 0.076 0.110
.soma_comp_6 0.059 0.010 5.940 0.000 0.059 0.084
.soma_comp_0 ~~
.withdep_comp_3 0.073 0.007 9.895 0.000 0.073 0.104
.soma_comp_1 ~~
.withdep_comp_3 0.067 0.007 8.945 0.000 0.067 0.094
.soma_comp_2 ~~
.withdep_comp_3 0.072 0.007 10.114 0.000 0.072 0.107
.withdep_comp_3 ~~
.soma_comp_3 0.096 0.007 13.202 0.000 0.096 0.142
.soma_comp_4 0.122 0.008 15.216 0.000 0.122 0.170
.soma_comp_5 0.135 0.009 14.902 0.000 0.135 0.171
.soma_comp_6 0.135 0.011 12.300 0.000 0.135 0.170
.soma_comp_0 ~~
.withdep_comp_4 0.066 0.008 7.866 0.000 0.066 0.085
.soma_comp_1 ~~
.withdep_comp_4 0.079 0.008 9.408 0.000 0.079 0.102
.soma_comp_2 ~~
.withdep_comp_4 0.073 0.008 9.094 0.000 0.073 0.099
.soma_comp_3 ~~
.withdep_comp_4 0.096 0.008 11.666 0.000 0.096 0.130
.withdep_comp_4 ~~
.soma_comp_4 0.166 0.009 18.526 0.000 0.166 0.210
.soma_comp_5 0.161 0.010 16.018 0.000 0.161 0.186
.soma_comp_6 0.177 0.012 14.642 0.000 0.177 0.203
.soma_comp_0 ~~
.withdep_comp_5 0.060 0.009 6.522 0.000 0.060 0.074
.soma_comp_1 ~~
.withdep_comp_5 0.074 0.009 8.012 0.000 0.074 0.091
.soma_comp_2 ~~
.withdep_comp_5 0.068 0.009 7.733 0.000 0.068 0.088
.soma_comp_3 ~~
.withdep_comp_5 0.089 0.009 9.891 0.000 0.089 0.114
.soma_comp_4 ~~
.withdep_comp_5 0.154 0.010 15.775 0.000 0.154 0.185
.withdep_comp_5 ~~
.soma_comp_5 0.229 0.011 21.155 0.000 0.229 0.253
.soma_comp_6 0.211 0.013 16.281 0.000 0.211 0.230
.soma_comp_0 ~~
.withdep_comp_6 0.065 0.010 6.271 0.000 0.065 0.084
.soma_comp_1 ~~
.withdep_comp_6 0.053 0.010 5.023 0.000 0.053 0.068
.soma_comp_2 ~~
.withdep_comp_6 0.052 0.010 5.326 0.000 0.052 0.070
.soma_comp_3 ~~
.withdep_comp_6 0.063 0.010 6.317 0.000 0.063 0.084
.soma_comp_4 ~~
.withdep_comp_6 0.108 0.011 9.828 0.000 0.108 0.135
.soma_comp_5 ~~
.withdep_comp_6 0.151 0.012 12.547 0.000 0.151 0.173
.withdep_comp_6 ~~
.soma_comp_6 0.222 0.013 16.995 0.000 0.222 0.252
.rulebreak_comp_0 ~~
.aggress_comp_0 0.206 0.006 36.334 0.000 0.206 0.444
.aggress_comp_1 0.164 0.005 30.593 0.000 0.164 0.363
.aggress_comp_2 0.154 0.005 29.292 0.000 0.154 0.351
.aggress_comp_3 0.132 0.005 25.131 0.000 0.132 0.305
.aggress_comp_4 0.127 0.005 25.025 0.000 0.127 0.314
.aggress_comp_5 0.129 0.005 24.759 0.000 0.129 0.319
.aggress_comp_6 0.110 0.006 19.353 0.000 0.110 0.296
.aggress_comp_0 ~~
.rulebrek_cmp_1 0.170 0.005 31.087 0.000 0.170 0.366
.rulebreak_comp_1 ~~
.aggress_comp_1 0.203 0.006 35.819 0.000 0.203 0.450
.aggress_comp_2 0.162 0.005 30.294 0.000 0.162 0.366
.aggress_comp_3 0.145 0.005 27.106 0.000 0.145 0.333
.aggress_comp_4 0.141 0.005 27.270 0.000 0.141 0.346
.aggress_comp_5 0.131 0.005 24.944 0.000 0.131 0.323
.aggress_comp_6 0.123 0.006 21.060 0.000 0.123 0.328
.aggress_comp_0 ~~
.rulebrek_cmp_2 0.151 0.006 27.404 0.000 0.151 0.321
.aggress_comp_1 ~~
.rulebrek_cmp_2 0.155 0.005 28.466 0.000 0.155 0.339
.rulebreak_comp_2 ~~
.aggress_comp_2 0.210 0.006 36.658 0.000 0.210 0.469
.aggress_comp_3 0.160 0.006 28.930 0.000 0.160 0.362
.aggress_comp_4 0.139 0.005 26.350 0.000 0.139 0.336
.aggress_comp_5 0.138 0.005 25.761 0.000 0.138 0.335
.aggress_comp_6 0.138 0.006 23.252 0.000 0.138 0.364
.aggress_comp_0 ~~
.rulebrek_cmp_3 0.151 0.006 26.210 0.000 0.151 0.311
.aggress_comp_1 ~~
.rulebrek_cmp_3 0.155 0.006 27.383 0.000 0.155 0.330
.aggress_comp_2 ~~
.rulebrek_cmp_3 0.170 0.006 30.066 0.000 0.170 0.371
.rulebreak_comp_3 ~~
.aggress_comp_3 0.218 0.006 36.358 0.000 0.218 0.482
.aggress_comp_4 0.161 0.005 29.287 0.000 0.161 0.379
.aggress_comp_5 0.150 0.006 26.898 0.000 0.150 0.355
.aggress_comp_6 0.151 0.006 25.285 0.000 0.151 0.389
.aggress_comp_0 ~~
.rulebrek_cmp_4 0.174 0.007 25.909 0.000 0.174 0.310
.aggress_comp_1 ~~
.rulebrek_cmp_4 0.182 0.007 27.605 0.000 0.182 0.334
.aggress_comp_2 ~~
.rulebrek_cmp_4 0.181 0.007 27.853 0.000 0.181 0.341
.aggress_comp_3 ~~
.rulebrek_cmp_4 0.197 0.007 29.496 0.000 0.197 0.375
.rulebreak_comp_4 ~~
.aggress_comp_4 0.241 0.007 36.154 0.000 0.241 0.491
.aggress_comp_5 0.202 0.007 30.525 0.000 0.202 0.411
.aggress_comp_6 0.171 0.007 24.360 0.000 0.171 0.381
.aggress_comp_0 ~~
.rulebrek_cmp_5 0.204 0.008 25.470 0.000 0.204 0.311
.aggress_comp_1 ~~
.rulebrek_cmp_5 0.193 0.008 24.620 0.000 0.193 0.302
.aggress_comp_2 ~~
.rulebrek_cmp_5 0.217 0.008 27.945 0.000 0.217 0.350
.aggress_comp_3 ~~
.rulebrek_cmp_5 0.216 0.008 27.413 0.000 0.216 0.353
.aggress_comp_4 ~~
.rulebrek_cmp_5 0.226 0.008 29.858 0.000 0.226 0.393
.rulebreak_comp_5 ~~
.aggress_comp_5 0.299 0.008 37.017 0.000 0.299 0.522
.aggress_comp_6 0.232 0.008 28.162 0.000 0.232 0.442
.aggress_comp_0 ~~
.rulebrek_cmp_6 0.187 0.009 19.737 0.000 0.187 0.278
.aggress_comp_1 ~~
.rulebrek_cmp_6 0.171 0.009 18.351 0.000 0.171 0.262
.aggress_comp_2 ~~
.rulebrek_cmp_6 0.205 0.009 22.419 0.000 0.205 0.321
.aggress_comp_3 ~~
.rulebrek_cmp_6 0.214 0.009 23.475 0.000 0.214 0.339
.aggress_comp_4 ~~
.rulebrek_cmp_6 0.219 0.009 24.952 0.000 0.219 0.372
.aggress_comp_5 ~~
.rulebrek_cmp_6 0.244 0.009 26.854 0.000 0.244 0.413
.rulebreak_comp_6 ~~
.aggress_comp_6 0.267 0.009 28.714 0.000 0.267 0.494
.p_i ~~
.p_s -0.069 0.006 -12.330 0.000 -0.295 -0.295
.p_q 0.007 0.002 4.211 0.000 0.104 0.104
.p_s ~~
.p_q -0.037 0.002 -17.128 0.000 -0.900 -0.900
.flanker_0 ~~
.flanker_2 0.118 0.007 16.161 0.000 0.118 0.220
.flanker_4 0.071 0.007 9.619 0.000 0.071 0.139
.flanker_6 0.048 0.010 4.990 0.000 0.048 0.091
.flanker_2 ~~
.flanker_4 0.114 0.007 15.863 0.000 0.114 0.269
.flanker_6 0.066 0.008 7.856 0.000 0.066 0.151
.flanker_4 ~~
.flanker_6 0.137 0.009 14.432 0.000 0.137 0.329
.pattern_0 ~~
.pattern_2 0.087 0.005 16.332 0.000 0.087 0.240
.pattern_4 0.050 0.006 8.570 0.000 0.050 0.128
.pattern_6 0.042 0.007 5.979 0.000 0.042 0.109
.pattern_2 ~~
.pattern_4 0.132 0.007 19.587 0.000 0.132 0.338
.pattern_6 0.105 0.007 14.204 0.000 0.105 0.275
.pattern_4 ~~
.pattern_6 0.164 0.009 18.445 0.000 0.164 0.397
.picture_0 ~~
.picture_2 0.250 0.007 33.713 0.000 0.250 0.363
.picture_4 0.256 0.009 27.967 0.000 0.256 0.309
.picture_6 0.280 0.012 23.459 0.000 0.280 0.341
.picture_2 ~~
.picture_4 0.285 0.010 28.027 0.000 0.285 0.324
.picture_6 0.265 0.013 19.813 0.000 0.265 0.305
.picture_4 ~~
.picture_6 0.390 0.016 24.708 0.000 0.390 0.373
.picvocab_0 ~~
.picvocab_2 0.390 0.007 52.989 0.000 0.390 0.673
.picvocab_4 0.393 0.008 50.470 0.000 0.393 0.643
.picvocab_6 0.373 0.009 43.002 0.000 0.373 0.622
.picvocab_2 ~~
.picvocab_4 0.464 0.009 53.987 0.000 0.464 0.724
.picvocab_6 0.452 0.010 47.298 0.000 0.452 0.717
.picvocab_4 ~~
.picvocab_6 0.500 0.010 48.292 0.000 0.500 0.754
.reading_0 ~~
.reading_2 0.396 0.007 54.770 0.000 0.396 0.718
.reading_4 0.399 0.008 50.616 0.000 0.399 0.657
.reading_6 0.408 0.009 43.314 0.000 0.408 0.653
.reading_2 ~~
.reading_4 0.409 0.008 51.244 0.000 0.409 0.688
.reading_6 0.424 0.009 45.108 0.000 0.424 0.695
.reading_4 ~~
.reading_6 0.447 0.010 42.747 0.000 0.447 0.665
.picvocab_0 ~~
.reading_0 0.225 0.006 35.252 0.000 0.225 0.403
.reading_2 0.239 0.006 37.183 0.000 0.239 0.437
.reading_4 0.257 0.007 35.782 0.000 0.257 0.427
.reading_6 0.275 0.009 31.721 0.000 0.275 0.445
.picvocab_2 ~~
.reading_2 0.281 0.007 40.061 0.000 0.281 0.490
.reading_0 ~~
.picvocab_2 0.259 0.007 37.756 0.000 0.259 0.442
.picvocab_2 ~~
.reading_4 0.305 0.008 39.205 0.000 0.305 0.484
.reading_6 0.331 0.009 35.124 0.000 0.331 0.510
.picvocab_4 ~~
.reading_4 0.328 0.008 38.626 0.000 0.328 0.494
.reading_0 ~~
.picvocab_4 0.266 0.007 36.221 0.000 0.266 0.432
.reading_2 ~~
.picvocab_4 0.292 0.007 39.037 0.000 0.292 0.484
.picvocab_4 ~~
.reading_6 0.358 0.010 35.315 0.000 0.358 0.524
.picvocab_6 ~~
.reading_6 0.351 0.011 31.936 0.000 0.351 0.523
.reading_0 ~~
.picvocab_6 0.248 0.008 29.371 0.000 0.248 0.409
.reading_2 ~~
.picvocab_6 0.276 0.008 32.638 0.000 0.276 0.466
.reading_4 ~~
.picvocab_6 0.314 0.010 33.010 0.000 0.314 0.482
.g_i ~~
.g_s 0.005 0.001 3.622 0.000 0.237 0.237
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.anxd__0 (ta_X) -0.175 0.020 -8.874 0.000 -0.175 -0.175
.anxd__1 (ta_X) -0.175 0.020 -8.874 0.000 -0.175 -0.175
.anxd__2 (ta_X) -0.175 0.020 -8.874 0.000 -0.175 -0.178
.anxd__3 (ta_X) -0.175 0.020 -8.874 0.000 -0.175 -0.177
.anxd__4 (ta_X) -0.175 0.020 -8.874 0.000 -0.175 -0.180
.anxd__5 (ta_X) -0.175 0.020 -8.874 0.000 -0.175 -0.178
.anxd__6 (ta_X) -0.175 0.020 -8.874 0.000 -0.175 -0.188
.wthd__0 (ta_W) -0.219 0.018 -12.309 0.000 -0.219 -0.244
.wthd__1 (ta_W) -0.219 0.018 -12.309 0.000 -0.219 -0.242
.wthd__2 (ta_W) -0.219 0.018 -12.309 0.000 -0.219 -0.229
.wthd__3 (ta_W) -0.219 0.018 -12.309 0.000 -0.219 -0.213
.wthd__4 (ta_W) -0.219 0.018 -12.309 0.000 -0.219 -0.201
.wthd__5 (ta_W) -0.219 0.018 -12.309 0.000 -0.219 -0.195
.wthd__6 (ta_W) -0.219 0.018 -12.309 0.000 -0.219 -0.203
.sm_cm_0 (ta_S) -0.142 0.018 -7.998 0.000 -0.142 -0.143
.sm_cm_1 (ta_S) -0.142 0.018 -7.998 0.000 -0.142 -0.143
.sm_cm_2 (ta_S) -0.142 0.018 -7.998 0.000 -0.142 -0.148
.sm_cm_3 (ta_S) -0.142 0.018 -7.998 0.000 -0.142 -0.148
.sm_cm_4 (ta_S) -0.142 0.018 -7.998 0.000 -0.142 -0.142
.sm_cm_5 (ta_S) -0.142 0.018 -7.998 0.000 -0.142 -0.133
.sm_cm_6 (ta_S) -0.142 0.018 -7.998 0.000 -0.142 -0.133
.scpr__0 (ta_P) -0.157 0.021 -7.638 0.000 -0.157 -0.148
.scpr__1 (ta_P) -0.157 0.021 -7.638 0.000 -0.157 -0.152
.scpr__2 (ta_P) -0.157 0.021 -7.638 0.000 -0.157 -0.156
.scpr__3 (ta_P) -0.157 0.021 -7.638 0.000 -0.157 -0.161
.scpr__4 (ta_P) -0.157 0.021 -7.638 0.000 -0.157 -0.163
.scpr__5 (ta_P) -0.157 0.021 -7.638 0.000 -0.157 -0.165
.scpr__6 (ta_P) -0.157 0.021 -7.638 0.000 -0.157 -0.174
.thpr__0 (ta_H) -0.151 0.022 -6.900 0.000 -0.151 -0.145
.thpr__1 (ta_H) -0.151 0.022 -6.900 0.000 -0.151 -0.146
.thpr__2 (ta_H) -0.151 0.022 -6.900 0.000 -0.151 -0.150
.thpr__3 (ta_H) -0.151 0.022 -6.900 0.000 -0.151 -0.154
.thpr__4 (ta_H) -0.151 0.022 -6.900 0.000 -0.151 -0.156
.thpr__5 (ta_H) -0.151 0.022 -6.900 0.000 -0.151 -0.153
.thpr__6 (ta_H) -0.151 0.022 -6.900 0.000 -0.151 -0.165
.attp__0 (ta_A) -0.131 0.020 -6.501 0.000 -0.131 -0.131
.attp__1 (ta_A) -0.131 0.020 -6.501 0.000 -0.131 -0.133
.attp__2 (ta_A) -0.131 0.020 -6.501 0.000 -0.131 -0.135
.attp__3 (ta_A) -0.131 0.020 -6.501 0.000 -0.131 -0.137
.attp__4 (ta_A) -0.131 0.020 -6.501 0.000 -0.131 -0.140
.attp__5 (ta_A) -0.131 0.020 -6.501 0.000 -0.131 -0.140
.attp__6 (ta_A) -0.131 0.020 -6.501 0.000 -0.131 -0.146
.rlbr__0 (ta_R) -0.161 0.019 -8.321 0.000 -0.161 -0.164
.rlbr__1 (ta_R) -0.161 0.019 -8.321 0.000 -0.161 -0.166
.rlbr__2 (ta_R) -0.161 0.019 -8.321 0.000 -0.161 -0.165
.rlbr__3 (ta_R) -0.161 0.019 -8.321 0.000 -0.161 -0.164
.rlbr__4 (ta_R) -0.161 0.019 -8.321 0.000 -0.161 -0.151
.rlbr__5 (ta_R) -0.161 0.019 -8.321 0.000 -0.161 -0.137
.rlbr__6 (ta_R) -0.161 0.019 -8.321 0.000 -0.161 -0.137
.aggr__0 (ta_G) -0.175 0.022 -7.932 0.000 -0.175 -0.165
.aggr__1 (ta_G) -0.175 0.022 -7.932 0.000 -0.175 -0.169
.aggr__2 (ta_G) -0.175 0.022 -7.932 0.000 -0.175 -0.172
.aggr__3 (ta_G) -0.175 0.022 -7.932 0.000 -0.175 -0.174
.aggr__4 (ta_G) -0.175 0.022 -7.932 0.000 -0.175 -0.180
.aggr__5 (ta_G) -0.175 0.022 -7.932 0.000 -0.175 -0.181
.aggr__6 (ta_G) -0.175 0.022 -7.932 0.000 -0.175 -0.193
.p_i -0.027 0.027 -0.979 0.328 -0.042 -0.042
.p_s 0.481 0.281 1.713 0.087 1.250 1.250
.p_q -0.142 0.090 -1.572 0.116 -1.279 -1.279
.p_etaB 0.000 0.000 0.000
.p_eta1 0.000 0.000 0.000
.p_eta2 0.000 0.000 0.000
.p_eta3 0.000 0.000 0.000
.p_eta4 0.000 0.000 0.000
.p_eta5 0.000 0.000 0.000
.p_eta6 0.000 0.000 0.000
.flnkr_0 (ta_S) -0.142 0.018 -7.998 0.000 -0.142 -0.153
.flnkr_2 (ta_S) -0.142 0.018 -7.998 0.000 -0.142 -0.175
.flnkr_4 (ta_S) -0.142 0.018 -7.998 0.000 -0.142 -0.176
.flnkr_6 (ta_S) -0.142 0.018 -7.998 0.000 -0.142 -0.166
.pttrn_0 (ta_R) -0.161 0.019 -8.321 0.000 -0.161 -0.211
.pttrn_2 (ta_R) -0.161 0.019 -8.321 0.000 -0.161 -0.210
.pttrn_4 (ta_R) -0.161 0.019 -8.321 0.000 -0.161 -0.196
.pttrn_6 (ta_R) -0.161 0.019 -8.321 0.000 -0.161 -0.190
.pictr_0 (ta_M) -0.083 0.012 -6.763 0.000 -0.083 -0.098
.pictr_2 (ta_M) -0.083 0.012 -6.763 0.000 -0.083 -0.093
.pictr_4 (ta_M) -0.083 0.012 -6.763 0.000 -0.083 -0.078
.pictr_6 (ta_M) -0.083 0.012 -6.763 0.000 -0.083 -0.078
.pcvcb_0 (ta_P) -0.157 0.021 -7.638 0.000 -0.157 -0.188
.pcvcb_2 (ta_P) -0.157 0.021 -7.638 0.000 -0.157 -0.180
.pcvcb_4 (ta_P) -0.157 0.021 -7.638 0.000 -0.157 -0.170
.pcvcb_6 (ta_P) -0.157 0.021 -7.638 0.000 -0.157 -0.169
.redng_0 (ta_V) -0.160 0.020 -7.944 0.000 -0.160 -0.188
.redng_2 (ta_V) -0.160 0.020 -7.944 0.000 -0.160 -0.190
.redng_4 (ta_V) -0.160 0.020 -7.944 0.000 -0.160 -0.174
.redng_6 (ta_V) -0.160 0.020 -7.944 0.000 -0.160 -0.166
.g_i -0.457 0.021 -21.630 0.000 -1.036 -1.036
.g_s 0.520 0.004 132.570 0.000 10.095 10.095
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.p_etaB 0.075 0.004 20.790 0.000 0.157 0.157
.p_eta1 0.101 0.002 41.322 0.000 0.221 0.221
.p_eta2 0.102 0.002 42.158 0.000 0.227 0.227
.p_eta3 0.092 0.002 38.493 0.000 0.211 0.211
.p_eta4 0.095 0.002 38.858 0.000 0.222 0.222
.p_eta5 0.092 0.003 34.990 0.000 0.221 0.221
.p_eta6 0.034 0.004 8.870 0.000 0.089 0.089
.anxdep_comp_0 0.532 0.008 68.301 0.000 0.532 0.528
.withdep_comp_0 0.413 0.006 66.190 0.000 0.413 0.512
.soma_comp_0 0.707 0.010 73.011 0.000 0.707 0.713
.socprob_comp_0 0.420 0.007 60.394 0.000 0.420 0.375
.thouprob_cmp_0 0.407 0.007 62.093 0.000 0.407 0.374
.attprob_comp_0 0.441 0.007 65.074 0.000 0.441 0.439
.rulebrek_cmp_0 0.471 0.007 67.276 0.000 0.471 0.491
.aggress_comp_0 0.457 0.007 63.200 0.000 0.457 0.406
.anxdep_comp_1 0.550 0.008 67.095 0.000 0.550 0.546
.withdep_comp_1 0.442 0.007 67.003 0.000 0.442 0.539
.soma_comp_1 0.713 0.010 71.368 0.000 0.713 0.723
.socprob_comp_1 0.389 0.007 58.727 0.000 0.389 0.366
.thouprob_cmp_1 0.420 0.007 61.020 0.000 0.420 0.391
.attprob_comp_1 0.435 0.007 63.945 0.000 0.435 0.446
.rulebrek_cmp_1 0.474 0.007 65.505 0.000 0.474 0.503
.aggress_comp_1 0.431 0.007 61.834 0.000 0.431 0.401
.anxdep_comp_2 0.520 0.008 66.459 0.000 0.520 0.537
.withdep_comp_2 0.544 0.008 67.681 0.000 0.544 0.595
.soma_comp_2 0.652 0.009 70.059 0.000 0.652 0.708
.socprob_comp_2 0.348 0.006 57.319 0.000 0.348 0.345
.thouprob_cmp_2 0.371 0.006 58.958 0.000 0.371 0.366
.attprob_comp_2 0.410 0.007 63.011 0.000 0.410 0.435
.rulebrek_cmp_2 0.487 0.008 64.879 0.000 0.487 0.514
.aggress_comp_2 0.411 0.007 60.810 0.000 0.411 0.394
.anxdep_comp_3 0.549 0.008 64.931 0.000 0.549 0.558
.withdep_comp_3 0.698 0.011 65.903 0.000 0.698 0.660
.soma_comp_3 0.657 0.010 67.951 0.000 0.657 0.716
.socprob_comp_3 0.317 0.006 54.928 0.000 0.317 0.332
.thouprob_cmp_3 0.345 0.006 56.408 0.000 0.345 0.356
.attprob_comp_3 0.408 0.007 61.551 0.000 0.408 0.442
.rulebrek_cmp_3 0.513 0.008 62.683 0.000 0.513 0.535
.aggress_comp_3 0.400 0.007 58.943 0.000 0.400 0.395
.anxdep_comp_4 0.519 0.008 62.641 0.000 0.519 0.547
.withdep_comp_4 0.837 0.013 63.410 0.000 0.837 0.703
.soma_comp_4 0.745 0.011 65.933 0.000 0.745 0.744
.socprob_comp_4 0.302 0.006 52.963 0.000 0.302 0.324
.thouprob_cmp_4 0.325 0.006 54.031 0.000 0.325 0.346
.attprob_comp_4 0.374 0.006 59.095 0.000 0.374 0.424
.rulebrek_cmp_4 0.689 0.011 62.460 0.000 0.689 0.610
.aggress_comp_4 0.349 0.006 56.257 0.000 0.349 0.367
.anxdep_comp_5 0.548 0.009 59.949 0.000 0.548 0.567
.withdep_comp_5 0.922 0.015 60.637 0.000 0.922 0.728
.soma_comp_5 0.892 0.014 63.006 0.000 0.892 0.781
.socprob_comp_5 0.294 0.006 49.668 0.000 0.294 0.324
.thouprob_cmp_5 0.379 0.007 53.053 0.000 0.379 0.388
.attprob_comp_5 0.391 0.007 57.199 0.000 0.391 0.442
.rulebrek_cmp_5 0.941 0.015 61.318 0.000 0.941 0.687
.aggress_comp_5 0.350 0.006 53.911 0.000 0.350 0.373
.anxdep_comp_6 0.490 0.010 47.831 0.000 0.490 0.564
.withdep_comp_6 0.851 0.017 48.634 0.000 0.851 0.731
.soma_comp_6 0.908 0.018 50.320 0.000 0.908 0.800
.socprob_comp_6 0.253 0.007 38.425 0.000 0.253 0.312
.thouprob_cmp_6 0.299 0.007 40.138 0.000 0.299 0.355
.attprob_comp_6 0.366 0.008 46.326 0.000 0.366 0.449
.rulebrek_cmp_6 0.994 0.020 49.814 0.000 0.994 0.719
.aggress_comp_6 0.294 0.007 42.440 0.000 0.294 0.355
.p_i 0.376 0.008 47.752 0.000 0.938 0.938
.p_s 0.144 0.007 19.845 0.000 0.971 0.971
.p_q 0.012 0.001 16.957 0.000 0.982 0.982
.g_etaB 0.016 0.003 5.841 0.000 0.078 0.078
.g_eta2 0.010 0.002 5.053 0.000 0.045 0.045
.g_eta4 0.022 0.003 8.455 0.000 0.088 0.088
.g_eta6 0.055 0.005 11.281 0.000 0.179 0.179
.flanker_0 0.651 0.010 66.398 0.000 0.651 0.755
.flanker_2 0.441 0.009 51.695 0.000 0.441 0.669
.flanker_4 0.405 0.009 46.635 0.000 0.405 0.620
.flanker_6 0.429 0.012 35.743 0.000 0.429 0.584
.pattern_0 0.362 0.006 56.917 0.000 0.362 0.626
.pattern_2 0.363 0.007 49.298 0.000 0.363 0.619
.pattern_4 0.422 0.009 46.560 0.000 0.422 0.624
.pattern_6 0.407 0.011 36.320 0.000 0.407 0.566
.picture_0 0.650 0.009 73.269 0.000 0.650 0.914
.picture_2 0.731 0.011 69.120 0.000 0.731 0.920
.picture_4 1.053 0.016 66.178 0.000 1.053 0.936
.picture_6 1.033 0.022 47.834 0.000 1.033 0.921
.picvocab_0 0.553 0.008 68.821 0.000 0.553 0.789
.picvocab_2 0.609 0.009 66.206 0.000 0.609 0.799
.picvocab_4 0.675 0.011 63.176 0.000 0.675 0.795
.picvocab_6 0.651 0.013 49.204 0.000 0.651 0.752
.reading_0 0.564 0.008 68.136 0.000 0.564 0.773
.reading_2 0.539 0.008 64.953 0.000 0.539 0.760
.reading_4 0.654 0.011 62.154 0.000 0.654 0.771
.reading_6 0.692 0.014 47.844 0.000 0.692 0.743
.g_i 0.194 0.005 39.691 0.000 0.999 0.999
.g_s 0.003 0.001 3.365 0.001 0.996 0.996
R-Square:
Estimate
p_etaB 0.843
p_eta1 0.779
p_eta2 0.773
p_eta3 0.789
p_eta4 0.778
p_eta5 0.779
p_eta6 0.911
anxdep_comp_0 0.472
withdep_comp_0 0.488
soma_comp_0 0.287
socprob_comp_0 0.625
thouprob_cmp_0 0.626
attprob_comp_0 0.561
rulebrek_cmp_0 0.509
aggress_comp_0 0.594
anxdep_comp_1 0.454
withdep_comp_1 0.461
soma_comp_1 0.277
socprob_comp_1 0.634
thouprob_cmp_1 0.609
attprob_comp_1 0.554
rulebrek_cmp_1 0.497
aggress_comp_1 0.599
anxdep_comp_2 0.463
withdep_comp_2 0.405
soma_comp_2 0.292
socprob_comp_2 0.655
thouprob_cmp_2 0.634
attprob_comp_2 0.565
rulebrek_cmp_2 0.486
aggress_comp_2 0.606
anxdep_comp_3 0.442
withdep_comp_3 0.340
soma_comp_3 0.284
socprob_comp_3 0.668
thouprob_cmp_3 0.644
attprob_comp_3 0.558
rulebrek_cmp_3 0.465
aggress_comp_3 0.605
anxdep_comp_4 0.453
withdep_comp_4 0.297
soma_comp_4 0.256
socprob_comp_4 0.676
thouprob_cmp_4 0.654
attprob_comp_4 0.576
rulebrek_cmp_4 0.390
aggress_comp_4 0.633
anxdep_comp_5 0.433
withdep_comp_5 0.272
soma_comp_5 0.219
socprob_comp_5 0.676
thouprob_cmp_5 0.612
attprob_comp_5 0.558
rulebrek_cmp_5 0.313
aggress_comp_5 0.627
anxdep_comp_6 0.436
withdep_comp_6 0.269
soma_comp_6 0.200
socprob_comp_6 0.688
thouprob_cmp_6 0.645
attprob_comp_6 0.551
rulebrek_cmp_6 0.281
aggress_comp_6 0.645
p_i 0.062
p_s 0.029
p_q 0.018
g_etaB 0.922
g_eta2 0.955
g_eta4 0.912
g_eta6 0.821
flanker_0 0.245
flanker_2 0.331
flanker_4 0.380
flanker_6 0.416
pattern_0 0.374
pattern_2 0.381
pattern_4 0.376
pattern_6 0.434
picture_0 0.086
picture_2 0.080
picture_4 0.064
picture_6 0.079
picvocab_0 0.211
picvocab_2 0.201
picvocab_4 0.205
picvocab_6 0.248
reading_0 0.227
reading_2 0.240
reading_4 0.229
reading_6 0.257
g_i 0.001
g_s 0.004
pc ~ pp model with sex
Children’s psychopathology (pc) was regressed on parental psychopathology (pp), with sex as a covariate.
model fit
pa6.sex.model <- "# second-order pp factor
#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#observed variable intercepts
asr_anxdep_comp_0~tau_AX*1
asr_withdep_comp_0~tau_AW*1
asr_soma_comp_0~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_attprob_comp_0~tau_AH*1
asr_rulebreak_comp_0~tau_AA*1
asr_aggress_comp_0~tau_AR*1
asr_intru_comp_0~tau_AG*1
asr_anxdep_comp_2~tau_AX*1
asr_withdep_comp_2~tau_AW*1
asr_soma_comp_2~tau_AS*1
asr_thouprob_comp_2~tau_AP*1
asr_attprob_comp_2~tau_AH*1
asr_rulebreak_comp_2~tau_AA*1
asr_aggress_comp_2~tau_AR*1
asr_intru_comp_2~tau_AG*1
asr_anxdep_comp_4~tau_AX*1
asr_withdep_comp_4~tau_AW*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_4~tau_AP*1
asr_attprob_comp_4~tau_AH*1
asr_rulebreak_comp_4~tau_AA*1
asr_aggress_comp_4~tau_AR*1
asr_intru_comp_4~tau_AG*1
#latent basis model
a_i =~ 1*a_etaB+1*a_eta2+1*a_eta4
a_s =~ 0*a_etaB+1*a_eta2+2*a_eta4
a_i~~NA*a_i
a_s~~NA*a_s
a_i~~a_s
a_i~1 + dummy_sex
a_s~1 + dummy_sex
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
# second-order pc factor
#factor loadings (with constraints)
p_etaB =~ 1*anxdep_comp_0+
lambda_CW*withdep_comp_0+
lambda_CS*soma_comp_0+
lambda_CC*socprob_comp_0+
lambda_CH*thouprob_comp_0+
lambda_CA*attprob_comp_0+
lambda_CR*rulebreak_comp_0+
lambda_CG*aggress_comp_0
p_eta1 =~ 1*anxdep_comp_1+
lambda_CW*withdep_comp_1+
lambda_CS*soma_comp_1+
lambda_CC*socprob_comp_1+
lambda_CH*thouprob_comp_1+
lambda_CA*attprob_comp_1+
lambda_CR*rulebreak_comp_1+
lambda_CG*aggress_comp_1
p_eta2 =~ 1*anxdep_comp_2+
lambda_CW*withdep_comp_2+
lambda_CS*soma_comp_2+
lambda_CC*socprob_comp_2+
lambda_CH*thouprob_comp_2+
lambda_CA*attprob_comp_2+
lambda_CR*rulebreak_comp_2+
lambda_CG*aggress_comp_2
p_eta3 =~ 1*anxdep_comp_3+
lambda_CW*withdep_comp_3+
lambda_CS*soma_comp_3+
lambda_CC*socprob_comp_3+
lambda_CH*thouprob_comp_3+
lambda_CA*attprob_comp_3+
lambda_CR*rulebreak_comp_3+
lambda_CG*aggress_comp_3
p_eta4 =~ 1*anxdep_comp_4+
lambda_CW*withdep_comp_4+
lambda_CS*soma_comp_4+
lambda_CC*socprob_comp_4+
lambda_CH*thouprob_comp_4+
lambda_CA*attprob_comp_4+
lambda_CR*rulebreak_comp_4+
lambda_CG*aggress_comp_4
p_eta5 =~ 1*anxdep_comp_5+
lambda_CW*withdep_comp_5+
lambda_CS*soma_comp_5+
lambda_CC*socprob_comp_5+
lambda_CH*thouprob_comp_5+
lambda_CA*attprob_comp_5+
lambda_CR*rulebreak_comp_5+
lambda_CG*aggress_comp_5
p_eta6 =~ 1*anxdep_comp_6+
lambda_CW*withdep_comp_6+
lambda_CS*soma_comp_6+
lambda_CC*socprob_comp_6+
lambda_CH*thouprob_comp_6+
lambda_CA*attprob_comp_6+
lambda_CR*rulebreak_comp_6+
lambda_CG*aggress_comp_6
#latent variable variances
p_etaB~~NA*p_etaB
p_eta1~~NA*p_eta1
p_eta2~~NA*p_eta2
p_eta3~~NA*p_eta3
p_eta4~~NA*p_eta4
p_eta5~~NA*p_eta5
p_eta6~~NA*p_eta6
#unique variances # No need to constrict these
anxdep_comp_0~~anxdep_comp_0
withdep_comp_0~~withdep_comp_0
soma_comp_0~~soma_comp_0
socprob_comp_0~~socprob_comp_0
thouprob_comp_0~~thouprob_comp_0
attprob_comp_0~~attprob_comp_0
rulebreak_comp_0~~rulebreak_comp_0
aggress_comp_0~~aggress_comp_0
anxdep_comp_1~~anxdep_comp_1
withdep_comp_1~~withdep_comp_1
soma_comp_1~~soma_comp_1
socprob_comp_1~~socprob_comp_1
thouprob_comp_1~~thouprob_comp_1
attprob_comp_1~~attprob_comp_1
rulebreak_comp_1~~rulebreak_comp_1
aggress_comp_1~~aggress_comp_1
anxdep_comp_2~~anxdep_comp_2
withdep_comp_2~~withdep_comp_2
soma_comp_2~~soma_comp_2
socprob_comp_2~~socprob_comp_2
thouprob_comp_2~~thouprob_comp_2
attprob_comp_2~~attprob_comp_2
rulebreak_comp_2~~rulebreak_comp_2
aggress_comp_2~~aggress_comp_2
anxdep_comp_3~~anxdep_comp_3
withdep_comp_3~~withdep_comp_3
soma_comp_3~~soma_comp_3
socprob_comp_3~~socprob_comp_3
thouprob_comp_3~~thouprob_comp_3
attprob_comp_3~~attprob_comp_3
rulebreak_comp_3~~rulebreak_comp_3
aggress_comp_3~~aggress_comp_3
anxdep_comp_4~~anxdep_comp_4
withdep_comp_4~~withdep_comp_4
soma_comp_4~~soma_comp_4
socprob_comp_4~~socprob_comp_4
thouprob_comp_4~~thouprob_comp_4
attprob_comp_4~~attprob_comp_4
rulebreak_comp_4~~rulebreak_comp_4
aggress_comp_4~~aggress_comp_4
anxdep_comp_5~~anxdep_comp_5
withdep_comp_5~~withdep_comp_5
soma_comp_5~~soma_comp_5
socprob_comp_5~~socprob_comp_5
thouprob_comp_5~~thouprob_comp_5
attprob_comp_5~~attprob_comp_5
rulebreak_comp_5~~rulebreak_comp_5
aggress_comp_5~~aggress_comp_5
anxdep_comp_6~~anxdep_comp_6
withdep_comp_6~~withdep_comp_6
soma_comp_6~~soma_comp_6
socprob_comp_6~~socprob_comp_6
thouprob_comp_6~~thouprob_comp_6
attprob_comp_6~~attprob_comp_6
rulebreak_comp_6~~rulebreak_comp_6
aggress_comp_6~~aggress_comp_6
#unique covariances
# Scores arcoss times
anxdep_comp_0~~anxdep_comp_1 + anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_1~~anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_2~~anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_3~~anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_4~~anxdep_comp_5+ anxdep_comp_6
anxdep_comp_5~~anxdep_comp_6
withdep_comp_0~~withdep_comp_1 + withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_1~~withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_2~~withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_3~~withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_4~~withdep_comp_5 + withdep_comp_6
withdep_comp_5~~withdep_comp_6
soma_comp_0~~soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_1~~soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_2~~soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_3~~soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_4~~soma_comp_5 + soma_comp_6
soma_comp_5~~soma_comp_6
socprob_comp_0~~socprob_comp_1 + socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_1~~socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_2~~socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_3~~socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_4~~socprob_comp_5 + socprob_comp_6
socprob_comp_5~~socprob_comp_6
thouprob_comp_0~~thouprob_comp_1 + thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_1~~thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_2~~thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_3~~thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_4~~thouprob_comp_5 + thouprob_comp_6
thouprob_comp_5~~thouprob_comp_6
attprob_comp_0~~attprob_comp_1 + attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_1~~attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_2~~attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_3~~attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_4~~attprob_comp_5 + attprob_comp_6
attprob_comp_5~~attprob_comp_6
rulebreak_comp_0~~rulebreak_comp_1 + rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_1~~rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_2~~rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_3~~rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_4~~rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_5~~rulebreak_comp_6
aggress_comp_0~~aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_1~~aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_2~~aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_3~~aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_4~~aggress_comp_5 + aggress_comp_6
aggress_comp_5~~aggress_comp_6
# Internalizeing subscale covariances
anxdep_comp_0~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_1~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_2~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_3~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_4~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_5~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_6~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
withdep_comp_0~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_1~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_2~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_3~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_4~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_5~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_6~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
# Externalizeing subscale covariances
rulebreak_comp_0~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_1~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_2~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_3~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_4~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_5~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_6~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
#observed variable intercepts
anxdep_comp_0~tau_CX*1
anxdep_comp_1~tau_CX*1
anxdep_comp_2~tau_CX*1
anxdep_comp_3~tau_CX*1
anxdep_comp_4~tau_CX*1
anxdep_comp_5~tau_CX*1
anxdep_comp_6~tau_CX*1
withdep_comp_0~tau_CW*1
withdep_comp_1~tau_CW*1
withdep_comp_2~tau_CW*1
withdep_comp_3~tau_CW*1
withdep_comp_4~tau_CW*1
withdep_comp_5~tau_CW*1
withdep_comp_6~tau_CW*1
soma_comp_0~tau_CS*1
soma_comp_1~tau_CS*1
soma_comp_2~tau_CS*1
soma_comp_3~tau_CS*1
soma_comp_4~tau_CS*1
soma_comp_5~tau_CS*1
soma_comp_6~tau_CS*1
socprob_comp_0~tau_CP*1
socprob_comp_1~tau_CP*1
socprob_comp_2~tau_CP*1
socprob_comp_3~tau_CP*1
socprob_comp_4~tau_CP*1
socprob_comp_5~tau_CP*1
socprob_comp_6~tau_CP*1
thouprob_comp_0~tau_CH*1
thouprob_comp_1~tau_CH*1
thouprob_comp_2~tau_CH*1
thouprob_comp_3~tau_CH*1
thouprob_comp_4~tau_CH*1
thouprob_comp_5~tau_CH*1
thouprob_comp_6~tau_CH*1
attprob_comp_0~tau_CA*1
attprob_comp_1~tau_CA*1
attprob_comp_2~tau_CA*1
attprob_comp_3~tau_CA*1
attprob_comp_4~tau_CA*1
attprob_comp_5~tau_CA*1
attprob_comp_6~tau_CA*1
rulebreak_comp_0~tau_CR*1
rulebreak_comp_1~tau_CR*1
rulebreak_comp_2~tau_CR*1
rulebreak_comp_3~tau_CR*1
rulebreak_comp_4~tau_CR*1
rulebreak_comp_5~tau_CR*1
rulebreak_comp_6~tau_CR*1
aggress_comp_0~tau_CG*1
aggress_comp_1~tau_CG*1
aggress_comp_2~tau_CG*1
aggress_comp_3~tau_CG*1
aggress_comp_4~tau_CG*1
aggress_comp_5~tau_CG*1
aggress_comp_6~tau_CG*1
#latent basis model
p_i =~ 1*p_etaB + 1*p_eta1 + 1*p_eta2 + 1*p_eta3 + 1*p_eta4 + 1*p_eta5 + 1*p_eta6
p_s =~ 0*p_etaB + .5*p_eta1 + 1*p_eta2 + 1.5*p_eta3 + 2*p_eta4 + 2.5*p_eta5 + 3*p_eta6
p_q =~ 0*p_etaB + .25*p_eta1 + 1*p_eta2 + 2.25*p_eta3 + 4*p_eta4 + 6.25*p_eta5 + 9*p_eta6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1 + dummy_sex
p_s~1 + dummy_sex
p_q~1 + dummy_sex
p_etaB ~ 0*1
p_eta1 ~ 0*1
p_eta2 ~ 0*1
p_eta3 ~ 0*1
p_eta4 ~ 0*1
p_eta5 ~ 0*1
p_eta6 ~ 0*1
# regression
p_i ~ a_i
p_s ~ a_i + a_s
p_q ~ a_i + a_s"
lavaan(pa6.sex.model,
data = readRDS("pga6_all_data_sex.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = T,
std.lv = T
) %>%
saveRDS("pgcm_pa6_sex_model.rds")result
readRDS("pgcm_pa6_sex_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_pa6_sex_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_pa6_sex_model.rds"), "cor.lv"))$value [1] 7.835422799 3.203830370 1.385822675 0.761228822 0.390754358 0.228155034
[7] 0.224917298 0.216672210 0.212016656 0.186180931 0.138384891 0.117829915
[13] 0.053056513 0.038984732 0.006742795
readRDS("pgcm_pa6_sex_result.rds")lavaan 0.6-19 ended normally after 215 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 706
Number of equality constraints 120
Number of observations 11867
Number of missing patterns 109
Model Test User Model:
Test statistic 31273.403
Degrees of freedom 2814
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 714000.094
Degrees of freedom 3240
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.960
Tucker-Lewis Index (TLI) 0.954
Robust Comparative Fit Index (CFI) 0.960
Robust Tucker-Lewis Index (TLI) 0.954
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -781349.432
Loglikelihood unrestricted model (H1) -765712.731
Akaike (AIC) 1563870.865
Bayesian (BIC) 1568196.433
Sample-size adjusted Bayesian (SABIC) 1566334.193
Root Mean Square Error of Approximation:
RMSEA 0.029
90 Percent confidence interval - lower 0.029
90 Percent confidence interval - upper 0.029
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.033
90 Percent confidence interval - lower 0.032
90 Percent confidence interval - upper 0.033
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.055
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.841 0.833
asr___0 (l_AW) 0.892 0.007 126.578 0.000 0.751 0.733
asr___0 (l_AS) 0.800 0.007 112.101 0.000 0.673 0.672
asr___0 (l_AC) 0.931 0.007 125.461 0.000 0.783 0.752
asr___0 (l_AH) 0.907 0.007 131.013 0.000 0.763 0.767
asr___0 (l_AA) 0.780 0.008 98.217 0.000 0.656 0.629
asr___0 (l_AR) 0.922 0.007 125.079 0.000 0.775 0.757
asr___0 (l_AG) 0.489 0.008 59.979 0.000 0.412 0.398
a_eta2 =~
asr___2 1.000 0.832 0.819
asr___2 (l_AW) 0.892 0.007 126.578 0.000 0.742 0.731
asr___2 (l_AS) 0.800 0.007 112.101 0.000 0.665 0.664
asr___2 (l_AC) 0.931 0.007 125.461 0.000 0.774 0.770
asr___2 (l_AH) 0.907 0.007 131.013 0.000 0.755 0.773
asr___2 (l_AA) 0.780 0.008 98.217 0.000 0.649 0.641
asr___2 (l_AR) 0.922 0.007 125.079 0.000 0.767 0.758
asr___2 (l_AG) 0.489 0.008 59.979 0.000 0.407 0.410
a_eta4 =~
asr___4 1.000 0.800 0.802
asr___4 (l_AW) 0.892 0.007 126.578 0.000 0.713 0.725
asr___4 (l_AS) 0.800 0.007 112.101 0.000 0.639 0.651
asr___4 (l_AC) 0.931 0.007 125.461 0.000 0.744 0.769
asr___4 (l_AH) 0.907 0.007 131.013 0.000 0.725 0.745
asr___4 (l_AA) 0.780 0.008 98.217 0.000 0.623 0.640
asr___4 (l_AR) 0.922 0.007 125.079 0.000 0.737 0.752
asr___4 (l_AG) 0.489 0.008 59.979 0.000 0.391 0.399
a_i =~
a_etaB 1.000 0.927 0.927
a_eta2 1.000 0.938 0.938
a_eta4 1.000 0.976 0.976
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.304 0.304
a_eta4 2.000 0.632 0.632
p_etaB =~
anxd__0 1.000 0.746 0.723
wthd__0 (lm_W) 0.863 0.006 141.124 0.000 0.643 0.711
sm_cm_0 (lm_S) 0.739 0.007 111.000 0.000 0.551 0.553
scpr__0 (lm_C) 1.115 0.007 153.887 0.000 0.832 0.787
thpr__0 (lm_H) 1.104 0.007 152.724 0.000 0.823 0.791
attp__0 (lm_A) 0.993 0.007 142.787 0.000 0.740 0.738
rlbr__0 (lm_R) 0.856 0.007 120.371 0.000 0.638 0.678
aggr__0 (lm_G) 1.064 0.007 147.191 0.000 0.794 0.757
p_eta1 =~
anxd__1 1.000 0.739 0.714
wthd__1 (lm_W) 0.863 0.006 141.124 0.000 0.638 0.697
sm_cm_1 (lm_S) 0.739 0.007 111.000 0.000 0.546 0.547
scpr__1 (lm_C) 1.115 0.007 153.887 0.000 0.824 0.796
thpr__1 (lm_H) 1.104 0.007 152.724 0.000 0.816 0.784
attp__1 (lm_A) 0.993 0.007 142.787 0.000 0.734 0.739
rlbr__1 (lm_R) 0.856 0.007 120.371 0.000 0.633 0.674
aggr__1 (lm_G) 1.064 0.007 147.191 0.000 0.787 0.764
p_eta2 =~
anxd__2 1.000 0.730 0.719
wthd__2 (lm_W) 0.863 0.006 141.124 0.000 0.630 0.655
sm_cm_2 (lm_S) 0.739 0.007 111.000 0.000 0.539 0.559
scpr__2 (lm_C) 1.115 0.007 153.887 0.000 0.814 0.808
thpr__2 (lm_H) 1.104 0.007 152.724 0.000 0.806 0.799
attp__2 (lm_A) 0.993 0.007 142.787 0.000 0.725 0.745
rlbr__2 (lm_R) 0.856 0.007 120.371 0.000 0.625 0.662
aggr__2 (lm_G) 1.064 0.007 147.191 0.000 0.777 0.767
p_eta3 =~
anxd__3 1.000 0.723 0.706
wthd__3 (lm_W) 0.863 0.006 141.124 0.000 0.623 0.604
sm_cm_3 (lm_S) 0.739 0.007 111.000 0.000 0.534 0.554
scpr__3 (lm_C) 1.115 0.007 153.887 0.000 0.806 0.818
thpr__3 (lm_H) 1.104 0.007 152.724 0.000 0.798 0.806
attp__3 (lm_A) 0.993 0.007 142.787 0.000 0.717 0.743
rlbr__3 (lm_R) 0.856 0.007 120.371 0.000 0.618 0.648
aggr__3 (lm_G) 1.064 0.007 147.191 0.000 0.769 0.769
p_eta4 =~
anxd__4 1.000 0.710 0.711
wthd__4 (lm_W) 0.863 0.006 141.124 0.000 0.613 0.562
sm_cm_4 (lm_S) 0.739 0.007 111.000 0.000 0.524 0.523
scpr__4 (lm_C) 1.115 0.007 153.887 0.000 0.792 0.820
thpr__4 (lm_H) 1.104 0.007 152.724 0.000 0.784 0.809
attp__4 (lm_A) 0.993 0.007 142.787 0.000 0.705 0.752
rlbr__4 (lm_R) 0.856 0.007 120.371 0.000 0.608 0.586
aggr__4 (lm_G) 1.064 0.007 147.191 0.000 0.756 0.785
p_eta5 =~
anxd__5 1.000 0.707 0.701
wthd__5 (lm_W) 0.863 0.006 141.124 0.000 0.610 0.541
sm_cm_5 (lm_S) 0.739 0.007 111.000 0.000 0.522 0.488
scpr__5 (lm_C) 1.115 0.007 153.887 0.000 0.788 0.821
thpr__5 (lm_H) 1.104 0.007 152.724 0.000 0.780 0.787
attp__5 (lm_A) 0.993 0.007 142.787 0.000 0.702 0.743
rlbr__5 (lm_R) 0.856 0.007 120.371 0.000 0.605 0.524
aggr__5 (lm_G) 1.064 0.007 147.191 0.000 0.752 0.783
p_eta6 =~
anxd__6 1.000 0.672 0.701
wthd__6 (lm_W) 0.863 0.006 141.124 0.000 0.580 0.536
sm_cm_6 (lm_S) 0.739 0.007 111.000 0.000 0.496 0.465
scpr__6 (lm_C) 1.115 0.007 153.887 0.000 0.749 0.828
thpr__6 (lm_H) 1.104 0.007 152.724 0.000 0.742 0.806
attp__6 (lm_A) 0.993 0.007 142.787 0.000 0.667 0.737
rlbr__6 (lm_R) 0.856 0.007 120.371 0.000 0.575 0.495
aggr__6 (lm_G) 1.064 0.007 147.191 0.000 0.715 0.795
p_i =~
p_etaB 1.000 0.925 0.925
p_eta1 1.000 0.933 0.933
p_eta2 1.000 0.944 0.944
p_eta3 1.000 0.954 0.954
p_eta4 1.000 0.972 0.972
p_eta5 1.000 0.976 0.976
p_eta6 1.000 1.026 1.026
p_s =~
p_etaB 0.000 0.000 0.000
p_eta1 0.500 0.288 0.288
p_eta2 1.000 0.583 0.583
p_eta3 1.500 0.884 0.884
p_eta4 2.000 1.199 1.199
p_eta5 2.500 1.506 1.506
p_eta6 3.000 1.900 1.900
p_q =~
p_etaB 0.000 0.000 0.000
p_eta1 0.250 0.041 0.041
p_eta2 1.000 0.168 0.168
p_eta3 2.250 0.381 0.381
p_eta4 4.000 0.689 0.689
p_eta5 6.250 1.082 1.082
p_eta6 9.000 1.638 1.638
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_i ~
dummy_sex 0.031 0.016 1.931 0.053 0.040 0.020
a_s ~
dummy_sex -0.015 0.007 -2.035 0.042 -0.058 -0.029
p_i ~
dummy_sex 0.140 0.012 11.486 0.000 0.203 0.101
p_s ~
dummy_sex -0.044 0.013 -3.280 0.001 -0.102 -0.051
p_q ~
dummy_sex -0.010 0.004 -2.377 0.017 -0.083 -0.041
p_i ~
a_i 0.618 0.010 59.892 0.000 0.699 0.699
p_s ~
a_i 0.012 0.011 1.040 0.298 0.022 0.022
a_s 1.269 0.063 20.068 0.000 0.754 0.754
p_q ~
a_i -0.018 0.004 -4.935 0.000 -0.113 -0.113
a_s -0.312 0.018 -17.005 0.000 -0.645 -0.645
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.182 0.005 37.151 0.000 0.182 0.559
.asr_nxdp_cmp_4 0.166 0.005 32.845 0.000 0.166 0.499
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.202 0.005 37.426 0.000 0.202 0.583
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.227 0.006 37.141 0.000 0.227 0.470
.asr_wthdp_cm_4 0.206 0.006 33.192 0.000 0.206 0.436
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.225 0.006 35.538 0.000 0.225 0.478
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.275 0.007 40.924 0.000 0.275 0.495
.asr_soma_cmp_4 0.240 0.007 35.104 0.000 0.240 0.434
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.282 0.007 39.225 0.000 0.282 0.506
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.191 0.005 35.355 0.000 0.191 0.435
.asr_thprb_cm_4 0.159 0.005 29.360 0.000 0.159 0.375
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.167 0.005 31.770 0.000 0.167 0.421
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.255 0.005 48.707 0.000 0.255 0.644
.asr_ttprb_cm_4 0.249 0.006 45.033 0.000 0.249 0.600
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.268 0.006 47.695 0.000 0.268 0.667
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.304 0.007 41.479 0.000 0.304 0.483
.asr_rlbrk_cm_4 0.260 0.007 35.891 0.000 0.260 0.429
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.283 0.007 38.797 0.000 0.283 0.487
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.243 0.006 43.315 0.000 0.243 0.551
.asr_ggrss_cm_4 0.220 0.006 39.248 0.000 0.220 0.508
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.248 0.006 42.703 0.000 0.248 0.582
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.495 0.010 51.824 0.000 0.495 0.576
.asr_intr_cmp_4 0.464 0.010 47.902 0.000 0.464 0.546
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.473 0.010 49.576 0.000 0.473 0.582
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.019 0.005 3.866 0.000 0.019 0.049
.asr_soma_cmp_0 0.026 0.005 5.164 0.000 0.026 0.063
.asr_wthdp_cm_2 0.019 0.005 3.960 0.000 0.019 0.050
.asr_soma_cmp_2 0.032 0.005 6.235 0.000 0.032 0.076
.asr_wthdp_cm_4 0.017 0.005 3.420 0.001 0.017 0.045
.asr_soma_cmp_4 0.031 0.005 5.752 0.000 0.031 0.074
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 0.009 0.005 1.866 0.062 0.009 0.023
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.025 0.005 4.889 0.000 0.025 0.058
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.036 0.005 6.842 0.000 0.036 0.088
.asr_soma_cmp_2 0.045 0.005 8.279 0.000 0.045 0.103
.asr_wthdp_cm_4 0.022 0.005 4.305 0.000 0.022 0.056
.asr_soma_cmp_4 0.027 0.006 4.931 0.000 0.027 0.063
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 0.001 0.005 0.249 0.803 0.001 0.003
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.024 0.005 4.432 0.000 0.024 0.055
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.017 0.005 3.178 0.001 0.017 0.041
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.042 0.006 7.502 0.000 0.042 0.095
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.041 0.006 7.449 0.000 0.041 0.102
.asr_soma_cmp_4 0.058 0.006 9.833 0.000 0.058 0.131
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.033 0.006 -5.819 0.000 -0.033 -0.064
.asr_soma_cmp_2 -0.021 0.006 -3.586 0.000 -0.021 -0.040
.asr_soma_cmp_4 -0.035 0.006 -5.728 0.000 -0.035 -0.068
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.015 0.006 -2.539 0.011 -0.015 -0.028
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.016 0.006 -2.754 0.006 -0.016 -0.031
.asr_soma_cmp_4 -0.023 0.006 -3.682 0.000 -0.023 -0.044
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.017 0.006 -2.881 0.004 -0.017 -0.034
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.021 0.006 -3.507 0.000 -0.021 -0.042
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.022 0.006 -3.610 0.000 -0.022 -0.044
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.131 0.007 19.530 0.000 0.131 0.207
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.073 0.006 12.245 0.000 0.073 0.134
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.084 0.006 13.055 0.000 0.084 0.139
.asr_rlbrk_cm_2 0.024 0.006 4.232 0.000 0.024 0.046
.asr_intr_cmp_4 0.093 0.007 13.917 0.000 0.093 0.154
.asr_rlbrk_cm_4 0.031 0.006 5.370 0.000 0.031 0.062
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.093 0.007 13.987 0.000 0.093 0.148
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.050 0.006 8.470 0.000 0.050 0.093
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.136 0.007 20.646 0.000 0.136 0.228
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.045 0.006 7.762 0.000 0.045 0.087
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.107 0.007 15.872 0.000 0.107 0.180
.asr_rlbrk_cm_4 0.042 0.006 7.193 0.000 0.042 0.085
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.095 0.007 13.987 0.000 0.095 0.156
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.056 0.006 9.234 0.000 0.056 0.106
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.102 0.007 15.331 0.000 0.102 0.174
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.046 0.006 7.823 0.000 0.046 0.093
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.137 0.007 20.047 0.000 0.137 0.236
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.064 0.006 10.796 0.000 0.064 0.132
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.119 0.008 15.459 0.000 0.119 0.155
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.067 0.007 8.985 0.000 0.067 0.091
.asr_rlbrk_cm_4 0.072 0.008 9.420 0.000 0.072 0.101
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.072 0.008 9.517 0.000 0.072 0.097
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.111 0.007 15.152 0.000 0.111 0.158
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.070 0.007 9.497 0.000 0.070 0.104
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.085 0.008 10.977 0.000 0.085 0.117
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.078 0.008 10.247 0.000 0.078 0.112
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.109 0.008 14.550 0.000 0.109 0.163
.a_i ~~
.a_s -0.081 0.004 -18.577 0.000 -0.412 -0.412
.anxdep_comp_0 ~~
.anxdep_comp_1 0.312 0.006 48.459 0.000 0.312 0.603
.anxdep_comp_2 0.274 0.006 44.555 0.000 0.274 0.544
.anxdep_comp_3 0.248 0.006 39.783 0.000 0.248 0.481
.anxdep_comp_4 0.222 0.006 36.390 0.000 0.222 0.443
.anxdep_comp_5 0.202 0.006 31.760 0.000 0.202 0.394
.anxdep_comp_6 0.181 0.007 25.093 0.000 0.181 0.370
.anxdep_comp_1 ~~
.anxdep_comp_2 0.303 0.006 47.215 0.000 0.303 0.593
.anxdep_comp_3 0.271 0.006 41.945 0.000 0.271 0.517
.anxdep_comp_4 0.232 0.006 37.005 0.000 0.232 0.455
.anxdep_comp_5 0.225 0.007 34.215 0.000 0.225 0.432
.anxdep_comp_6 0.195 0.007 26.352 0.000 0.195 0.394
.anxdep_comp_2 ~~
.anxdep_comp_3 0.315 0.007 47.977 0.000 0.315 0.617
.anxdep_comp_4 0.269 0.006 42.665 0.000 0.269 0.541
.anxdep_comp_5 0.250 0.007 38.406 0.000 0.250 0.491
.anxdep_comp_6 0.219 0.007 30.294 0.000 0.219 0.453
.anxdep_comp_3 ~~
.anxdep_comp_4 0.304 0.007 45.560 0.000 0.304 0.597
.anxdep_comp_5 0.284 0.007 41.226 0.000 0.284 0.546
.anxdep_comp_6 0.243 0.007 32.817 0.000 0.243 0.490
.anxdep_comp_4 ~~
.anxdep_comp_5 0.331 0.007 46.751 0.000 0.331 0.654
.anxdep_comp_6 0.269 0.007 35.880 0.000 0.269 0.558
.anxdep_comp_5 ~~
.anxdep_comp_6 0.306 0.008 38.725 0.000 0.306 0.621
.withdep_comp_0 ~~
.withdep_comp_1 0.234 0.005 44.765 0.000 0.234 0.560
.withdep_comp_2 0.196 0.005 36.616 0.000 0.196 0.424
.withdep_comp_3 0.161 0.006 27.208 0.000 0.161 0.307
.withdep_comp_4 0.125 0.007 19.051 0.000 0.125 0.217
.withdep_comp_5 0.104 0.007 14.564 0.000 0.104 0.172
.withdep_comp_6 0.082 0.008 9.963 0.000 0.082 0.141
.withdep_comp_1 ~~
.withdep_comp_2 0.255 0.006 44.455 0.000 0.255 0.534
.withdep_comp_3 0.234 0.006 36.966 0.000 0.234 0.432
.withdep_comp_4 0.198 0.007 28.609 0.000 0.198 0.334
.withdep_comp_5 0.179 0.008 23.872 0.000 0.179 0.288
.withdep_comp_6 0.144 0.008 17.016 0.000 0.144 0.240
.withdep_comp_2 ~~
.withdep_comp_3 0.335 0.007 45.528 0.000 0.335 0.559
.withdep_comp_4 0.308 0.008 38.418 0.000 0.308 0.470
.withdep_comp_5 0.285 0.009 33.033 0.000 0.285 0.413
.withdep_comp_6 0.239 0.010 24.269 0.000 0.239 0.359
.withdep_comp_3 ~~
.withdep_comp_4 0.439 0.010 45.729 0.000 0.439 0.591
.withdep_comp_5 0.424 0.010 41.455 0.000 0.424 0.543
.withdep_comp_6 0.354 0.011 31.791 0.000 0.354 0.471
.withdep_comp_4 ~~
.withdep_comp_5 0.558 0.012 47.209 0.000 0.558 0.653
.withdep_comp_6 0.473 0.013 37.570 0.000 0.473 0.574
.withdep_comp_5 ~~
.withdep_comp_6 0.568 0.014 41.273 0.000 0.568 0.657
.soma_comp_0 ~~
.soma_comp_1 0.354 0.008 45.798 0.000 0.354 0.509
.soma_comp_2 0.299 0.007 40.690 0.000 0.299 0.449
.soma_comp_3 0.265 0.007 36.077 0.000 0.265 0.398
.soma_comp_4 0.253 0.008 31.916 0.000 0.253 0.356
.soma_comp_5 0.249 0.009 27.894 0.000 0.249 0.321
.soma_comp_6 0.244 0.011 22.796 0.000 0.244 0.311
.soma_comp_1 ~~
.soma_comp_2 0.334 0.008 44.178 0.000 0.334 0.500
.soma_comp_3 0.291 0.008 38.559 0.000 0.291 0.434
.soma_comp_4 0.276 0.008 34.338 0.000 0.276 0.387
.soma_comp_5 0.280 0.009 30.786 0.000 0.280 0.358
.soma_comp_6 0.256 0.011 23.495 0.000 0.256 0.324
.soma_comp_2 ~~
.soma_comp_3 0.323 0.007 43.576 0.000 0.323 0.504
.soma_comp_4 0.303 0.008 38.279 0.000 0.303 0.443
.soma_comp_5 0.297 0.009 33.852 0.000 0.297 0.397
.soma_comp_6 0.273 0.010 26.439 0.000 0.273 0.361
.soma_comp_3 ~~
.soma_comp_4 0.338 0.008 41.215 0.000 0.338 0.493
.soma_comp_5 0.326 0.009 35.937 0.000 0.326 0.435
.soma_comp_6 0.312 0.011 29.586 0.000 0.312 0.411
.soma_comp_4 ~~
.soma_comp_5 0.441 0.010 43.284 0.000 0.441 0.552
.soma_comp_6 0.411 0.012 34.524 0.000 0.411 0.509
.soma_comp_5 ~~
.soma_comp_6 0.522 0.013 39.114 0.000 0.522 0.592
.socprob_comp_0 ~~
.socprob_comp_1 0.200 0.005 37.002 0.000 0.200 0.488
.socprob_comp_2 0.163 0.005 32.453 0.000 0.163 0.422
.socprob_comp_3 0.129 0.005 26.794 0.000 0.129 0.349
.socprob_comp_4 0.105 0.005 22.108 0.000 0.105 0.290
.socprob_comp_5 0.094 0.005 19.435 0.000 0.094 0.262
.socprob_comp_6 0.077 0.005 14.247 0.000 0.077 0.233
.socprob_comp_1 ~~
.socprob_comp_2 0.180 0.005 35.886 0.000 0.180 0.483
.socprob_comp_3 0.144 0.005 30.097 0.000 0.144 0.404
.socprob_comp_4 0.115 0.005 24.575 0.000 0.115 0.330
.socprob_comp_5 0.100 0.005 21.154 0.000 0.100 0.291
.socprob_comp_6 0.092 0.005 17.410 0.000 0.092 0.290
.socprob_comp_2 ~~
.socprob_comp_3 0.162 0.005 34.357 0.000 0.162 0.481
.socprob_comp_4 0.138 0.005 30.163 0.000 0.138 0.420
.socprob_comp_5 0.116 0.005 25.134 0.000 0.116 0.357
.socprob_comp_6 0.105 0.005 20.769 0.000 0.105 0.347
.socprob_comp_3 ~~
.socprob_comp_4 0.146 0.005 32.215 0.000 0.146 0.466
.socprob_comp_5 0.132 0.005 28.419 0.000 0.132 0.424
.socprob_comp_6 0.114 0.005 22.804 0.000 0.114 0.395
.socprob_comp_4 ~~
.socprob_comp_5 0.157 0.005 33.304 0.000 0.157 0.519
.socprob_comp_6 0.135 0.005 26.305 0.000 0.135 0.480
.socprob_comp_5 ~~
.socprob_comp_6 0.153 0.005 28.887 0.000 0.153 0.551
.thouprob_comp_0 ~~
.thouprob_cmp_1 0.197 0.005 37.461 0.000 0.197 0.479
.thouprob_cmp_2 0.157 0.005 32.009 0.000 0.157 0.407
.thouprob_cmp_3 0.133 0.005 27.748 0.000 0.133 0.355
.thouprob_cmp_4 0.116 0.005 24.439 0.000 0.116 0.321
.thouprob_cmp_5 0.112 0.005 21.693 0.000 0.112 0.288
.thouprob_cmp_6 0.083 0.006 14.543 0.000 0.083 0.240
.thouprob_comp_1 ~~
.thouprob_cmp_2 0.187 0.005 36.338 0.000 0.187 0.476
.thouprob_cmp_3 0.153 0.005 30.800 0.000 0.153 0.405
.thouprob_cmp_4 0.133 0.005 27.183 0.000 0.133 0.363
.thouprob_cmp_5 0.140 0.005 26.381 0.000 0.140 0.355
.thouprob_cmp_6 0.101 0.006 17.429 0.000 0.101 0.286
.thouprob_comp_2 ~~
.thouprob_cmp_3 0.159 0.005 32.942 0.000 0.159 0.447
.thouprob_cmp_4 0.132 0.005 28.190 0.000 0.132 0.384
.thouprob_cmp_5 0.132 0.005 25.920 0.000 0.132 0.356
.thouprob_cmp_6 0.092 0.006 16.686 0.000 0.092 0.279
.thouprob_comp_3 ~~
.thouprob_cmp_4 0.140 0.005 29.715 0.000 0.140 0.419
.thouprob_cmp_5 0.132 0.005 25.904 0.000 0.132 0.367
.thouprob_cmp_6 0.092 0.005 17.004 0.000 0.092 0.288
.thouprob_comp_4 ~~
.thouprob_cmp_5 0.172 0.005 33.081 0.000 0.172 0.493
.thouprob_cmp_6 0.126 0.005 22.987 0.000 0.126 0.406
.thouprob_comp_5 ~~
.thouprob_cmp_6 0.167 0.006 27.582 0.000 0.167 0.500
.attprob_comp_0 ~~
.attprob_comp_1 0.305 0.006 51.901 0.000 0.305 0.674
.attprob_comp_2 0.271 0.006 48.353 0.000 0.271 0.617
.attprob_comp_3 0.250 0.006 45.244 0.000 0.250 0.573
.attprob_comp_4 0.219 0.005 41.182 0.000 0.219 0.524
.attprob_comp_5 0.219 0.006 39.530 0.000 0.219 0.512
.attprob_comp_6 0.193 0.006 31.593 0.000 0.193 0.468
.attprob_comp_1 ~~
.attprob_comp_2 0.292 0.006 50.975 0.000 0.292 0.672
.attprob_comp_3 0.267 0.006 47.496 0.000 0.267 0.618
.attprob_comp_4 0.229 0.005 42.612 0.000 0.229 0.552
.attprob_comp_5 0.230 0.006 41.468 0.000 0.230 0.544
.attprob_comp_6 0.205 0.006 33.526 0.000 0.205 0.502
.attprob_comp_2 ~~
.attprob_comp_3 0.280 0.006 49.769 0.000 0.280 0.666
.attprob_comp_4 0.240 0.005 45.155 0.000 0.240 0.598
.attprob_comp_5 0.243 0.006 43.931 0.000 0.243 0.591
.attprob_comp_6 0.214 0.006 35.714 0.000 0.214 0.539
.attprob_comp_3 ~~
.attprob_comp_4 0.260 0.005 47.488 0.000 0.260 0.650
.attprob_comp_5 0.253 0.006 45.129 0.000 0.253 0.620
.attprob_comp_6 0.222 0.006 37.051 0.000 0.222 0.563
.attprob_comp_4 ~~
.attprob_comp_5 0.268 0.006 47.552 0.000 0.268 0.685
.attprob_comp_6 0.236 0.006 39.474 0.000 0.236 0.625
.attprob_comp_5 ~~
.attprob_comp_6 0.267 0.006 42.105 0.000 0.267 0.691
.rulebreak_comp_0 ~~
.rulebrek_cmp_1 0.293 0.006 50.097 0.000 0.293 0.610
.rulebrek_cmp_2 0.257 0.006 44.085 0.000 0.257 0.525
.rulebrek_cmp_3 0.240 0.006 39.738 0.000 0.240 0.477
.rulebrek_cmp_4 0.241 0.007 34.665 0.000 0.241 0.414
.rulebrek_cmp_5 0.268 0.008 32.476 0.000 0.268 0.393
.rulebrek_cmp_6 0.225 0.010 23.103 0.000 0.225 0.323
.rulebreak_comp_1 ~~
.rulebrek_cmp_2 0.283 0.006 47.042 0.000 0.283 0.576
.rulebrek_cmp_3 0.268 0.006 43.241 0.000 0.268 0.532
.rulebrek_cmp_4 0.279 0.007 39.161 0.000 0.279 0.479
.rulebrek_cmp_5 0.280 0.008 33.594 0.000 0.280 0.410
.rulebrek_cmp_6 0.253 0.010 25.419 0.000 0.253 0.362
.rulebreak_comp_2 ~~
.rulebrek_cmp_3 0.306 0.007 46.553 0.000 0.306 0.596
.rulebrek_cmp_4 0.302 0.007 40.724 0.000 0.302 0.507
.rulebrek_cmp_5 0.339 0.009 38.817 0.000 0.339 0.487
.rulebrek_cmp_6 0.316 0.010 30.615 0.000 0.316 0.444
.rulebreak_comp_3 ~~
.rulebrek_cmp_4 0.348 0.008 44.011 0.000 0.348 0.570
.rulebrek_cmp_5 0.369 0.009 39.796 0.000 0.369 0.515
.rulebrek_cmp_6 0.356 0.011 33.664 0.000 0.356 0.486
.rulebreak_comp_4 ~~
.rulebrek_cmp_5 0.535 0.011 47.524 0.000 0.535 0.647
.rulebrek_cmp_6 0.511 0.013 39.855 0.000 0.511 0.603
.rulebreak_comp_5 ~~
.rulebrek_cmp_6 0.713 0.016 45.944 0.000 0.713 0.719
.aggress_comp_0 ~~
.aggress_comp_1 0.299 0.006 49.847 0.000 0.299 0.657
.aggress_comp_2 0.270 0.006 46.585 0.000 0.270 0.606
.aggress_comp_3 0.233 0.006 41.164 0.000 0.233 0.530
.aggress_comp_4 0.204 0.005 38.498 0.000 0.204 0.501
.aggress_comp_5 0.197 0.005 36.237 0.000 0.197 0.482
.aggress_comp_6 0.160 0.006 27.875 0.000 0.160 0.429
.aggress_comp_1 ~~
.aggress_comp_2 0.278 0.006 48.239 0.000 0.278 0.644
.aggress_comp_3 0.247 0.006 43.920 0.000 0.247 0.581
.aggress_comp_4 0.210 0.005 40.012 0.000 0.210 0.530
.aggress_comp_5 0.197 0.005 36.802 0.000 0.197 0.496
.aggress_comp_6 0.162 0.006 28.433 0.000 0.162 0.447
.aggress_comp_2 ~~
.aggress_comp_3 0.270 0.006 47.238 0.000 0.270 0.649
.aggress_comp_4 0.221 0.005 42.024 0.000 0.221 0.571
.aggress_comp_5 0.215 0.005 40.021 0.000 0.215 0.553
.aggress_comp_6 0.182 0.006 32.419 0.000 0.182 0.514
.aggress_comp_3 ~~
.aggress_comp_4 0.242 0.005 44.802 0.000 0.242 0.635
.aggress_comp_5 0.225 0.005 41.205 0.000 0.225 0.588
.aggress_comp_6 0.192 0.006 34.342 0.000 0.192 0.551
.aggress_comp_4 ~~
.aggress_comp_5 0.238 0.005 44.629 0.000 0.238 0.670
.aggress_comp_6 0.199 0.005 36.417 0.000 0.199 0.611
.aggress_comp_5 ~~
.aggress_comp_6 0.224 0.006 38.978 0.000 0.224 0.686
.anxdep_comp_0 ~~
.withdep_comp_0 0.095 0.005 18.748 0.000 0.095 0.210
.soma_comp_0 0.111 0.006 17.825 0.000 0.111 0.187
.withdep_comp_1 0.078 0.005 15.321 0.000 0.078 0.167
.soma_comp_1 0.075 0.006 12.089 0.000 0.075 0.126
.withdep_comp_2 0.079 0.006 14.171 0.000 0.079 0.153
.soma_comp_2 0.070 0.006 11.549 0.000 0.070 0.122
.withdep_comp_3 0.092 0.006 14.123 0.000 0.092 0.156
.soma_comp_3 0.071 0.006 11.486 0.000 0.071 0.124
.withdep_comp_4 0.076 0.007 10.393 0.000 0.076 0.118
.soma_comp_4 0.080 0.007 11.839 0.000 0.080 0.131
.withdep_comp_5 0.071 0.008 8.863 0.000 0.071 0.105
.soma_comp_5 0.060 0.008 7.830 0.000 0.060 0.090
.withdep_comp_6 0.060 0.009 6.497 0.000 0.060 0.092
.soma_comp_6 0.065 0.009 6.899 0.000 0.065 0.096
.withdep_comp_0 ~~
.anxdep_comp_1 0.063 0.005 12.438 0.000 0.063 0.137
.soma_comp_0 ~~
.anxdep_comp_1 0.090 0.006 14.299 0.000 0.090 0.150
.anxdep_comp_1 ~~
.withdep_comp_1 0.098 0.005 18.400 0.000 0.098 0.206
.soma_comp_1 0.104 0.006 16.102 0.000 0.104 0.172
.withdep_comp_2 0.085 0.006 14.674 0.000 0.085 0.161
.soma_comp_2 0.076 0.006 12.263 0.000 0.076 0.131
.withdep_comp_3 0.105 0.007 15.841 0.000 0.105 0.177
.soma_comp_3 0.072 0.006 11.447 0.000 0.072 0.124
.withdep_comp_4 0.091 0.007 12.154 0.000 0.091 0.139
.soma_comp_4 0.085 0.007 12.312 0.000 0.085 0.137
.withdep_comp_5 0.105 0.008 12.809 0.000 0.105 0.153
.soma_comp_5 0.082 0.008 10.473 0.000 0.082 0.121
.withdep_comp_6 0.084 0.009 8.905 0.000 0.084 0.127
.soma_comp_6 0.070 0.010 7.263 0.000 0.070 0.102
.withdep_comp_0 ~~
.anxdep_comp_2 0.071 0.005 14.078 0.000 0.071 0.157
.soma_comp_0 ~~
.anxdep_comp_2 0.088 0.006 14.216 0.000 0.088 0.151
.withdep_comp_1 ~~
.anxdep_comp_2 0.087 0.005 16.894 0.000 0.087 0.188
.soma_comp_1 ~~
.anxdep_comp_2 0.079 0.006 12.516 0.000 0.079 0.133
.anxdep_comp_2 ~~
.withdep_comp_2 0.138 0.006 23.713 0.000 0.138 0.269
.soma_comp_2 0.108 0.006 17.596 0.000 0.108 0.191
.withdep_comp_3 0.128 0.007 19.617 0.000 0.128 0.221
.soma_comp_3 0.090 0.006 14.459 0.000 0.090 0.158
.withdep_comp_4 0.111 0.007 15.181 0.000 0.111 0.174
.soma_comp_4 0.101 0.007 15.021 0.000 0.101 0.168
.withdep_comp_5 0.101 0.008 12.648 0.000 0.101 0.151
.soma_comp_5 0.085 0.008 11.247 0.000 0.085 0.129
.withdep_comp_6 0.078 0.009 8.659 0.000 0.078 0.122
.soma_comp_6 0.078 0.009 8.410 0.000 0.078 0.117
.withdep_comp_0 ~~
.anxdep_comp_3 0.057 0.005 11.023 0.000 0.057 0.125
.soma_comp_0 ~~
.anxdep_comp_3 0.095 0.006 14.689 0.000 0.095 0.158
.withdep_comp_1 ~~
.anxdep_comp_3 0.074 0.005 13.845 0.000 0.074 0.155
.soma_comp_1 ~~
.anxdep_comp_3 0.085 0.007 12.941 0.000 0.085 0.140
.withdep_comp_2 ~~
.anxdep_comp_3 0.110 0.006 18.629 0.000 0.110 0.209
.soma_comp_2 ~~
.anxdep_comp_3 0.094 0.006 14.927 0.000 0.094 0.162
.anxdep_comp_3 ~~
.withdep_comp_3 0.182 0.007 26.085 0.000 0.182 0.305
.soma_comp_3 0.123 0.006 18.978 0.000 0.123 0.212
.withdep_comp_4 0.142 0.008 18.590 0.000 0.142 0.217
.soma_comp_4 0.130 0.007 18.546 0.000 0.130 0.211
.withdep_comp_5 0.140 0.008 16.816 0.000 0.140 0.204
.soma_comp_5 0.122 0.008 15.356 0.000 0.122 0.181
.withdep_comp_6 0.105 0.009 11.431 0.000 0.105 0.159
.soma_comp_6 0.129 0.009 13.687 0.000 0.129 0.189
.withdep_comp_0 ~~
.anxdep_comp_4 0.040 0.005 7.655 0.000 0.040 0.089
.soma_comp_0 ~~
.anxdep_comp_4 0.077 0.006 12.042 0.000 0.077 0.132
.withdep_comp_1 ~~
.anxdep_comp_4 0.058 0.005 10.969 0.000 0.058 0.125
.soma_comp_1 ~~
.anxdep_comp_4 0.073 0.006 11.371 0.000 0.073 0.125
.withdep_comp_2 ~~
.anxdep_comp_4 0.086 0.006 14.740 0.000 0.086 0.168
.soma_comp_2 ~~
.anxdep_comp_4 0.078 0.006 12.556 0.000 0.078 0.140
.withdep_comp_3 ~~
.anxdep_comp_4 0.129 0.007 19.168 0.000 0.129 0.224
.soma_comp_3 ~~
.anxdep_comp_4 0.096 0.006 14.999 0.000 0.096 0.170
.anxdep_comp_4 ~~
.withdep_comp_4 0.200 0.008 25.761 0.000 0.200 0.315
.soma_comp_4 0.147 0.007 21.141 0.000 0.147 0.246
.withdep_comp_5 0.164 0.008 19.746 0.000 0.164 0.246
.soma_comp_5 0.136 0.008 17.391 0.000 0.136 0.208
.withdep_comp_6 0.127 0.009 13.831 0.000 0.127 0.198
.soma_comp_6 0.137 0.009 14.577 0.000 0.137 0.207
.withdep_comp_0 ~~
.anxdep_comp_5 0.035 0.005 6.350 0.000 0.035 0.076
.soma_comp_0 ~~
.anxdep_comp_5 0.068 0.007 9.994 0.000 0.068 0.114
.withdep_comp_1 ~~
.anxdep_comp_5 0.057 0.006 10.231 0.000 0.057 0.121
.soma_comp_1 ~~
.anxdep_comp_5 0.076 0.007 11.089 0.000 0.076 0.127
.withdep_comp_2 ~~
.anxdep_comp_5 0.091 0.006 14.729 0.000 0.091 0.174
.soma_comp_2 ~~
.anxdep_comp_5 0.083 0.007 12.662 0.000 0.083 0.145
.withdep_comp_3 ~~
.anxdep_comp_5 0.137 0.007 19.281 0.000 0.137 0.232
.soma_comp_3 ~~
.anxdep_comp_5 0.091 0.007 13.535 0.000 0.091 0.158
.withdep_comp_4 ~~
.anxdep_comp_5 0.173 0.008 21.591 0.000 0.173 0.266
.soma_comp_4 ~~
.anxdep_comp_5 0.141 0.007 19.173 0.000 0.141 0.229
.anxdep_comp_5 ~~
.withdep_comp_5 0.241 0.009 27.174 0.000 0.241 0.354
.soma_comp_5 0.175 0.008 21.270 0.000 0.175 0.260
.withdep_comp_6 0.154 0.010 16.200 0.000 0.154 0.235
.soma_comp_6 0.151 0.010 15.513 0.000 0.151 0.222
.withdep_comp_0 ~~
.anxdep_comp_6 0.041 0.006 6.391 0.000 0.041 0.093
.soma_comp_0 ~~
.anxdep_comp_6 0.062 0.008 7.969 0.000 0.062 0.109
.withdep_comp_1 ~~
.anxdep_comp_6 0.059 0.006 9.218 0.000 0.059 0.131
.soma_comp_1 ~~
.anxdep_comp_6 0.065 0.008 8.293 0.000 0.065 0.114
.withdep_comp_2 ~~
.anxdep_comp_6 0.088 0.007 12.014 0.000 0.088 0.176
.soma_comp_2 ~~
.anxdep_comp_6 0.083 0.007 11.135 0.000 0.083 0.151
.withdep_comp_3 ~~
.anxdep_comp_6 0.128 0.008 15.815 0.000 0.128 0.227
.soma_comp_3 ~~
.anxdep_comp_6 0.073 0.008 9.755 0.000 0.073 0.133
.withdep_comp_4 ~~
.anxdep_comp_6 0.154 0.009 17.171 0.000 0.154 0.249
.soma_comp_4 ~~
.anxdep_comp_6 0.109 0.008 13.129 0.000 0.109 0.187
.withdep_comp_5 ~~
.anxdep_comp_6 0.184 0.010 19.034 0.000 0.184 0.284
.soma_comp_5 ~~
.anxdep_comp_6 0.118 0.009 12.922 0.000 0.118 0.184
.anxdep_comp_6 ~~
.withdep_comp_6 0.222 0.010 22.005 0.000 0.222 0.355
.soma_comp_6 0.164 0.010 16.650 0.000 0.164 0.253
.withdep_comp_0 ~~
.soma_comp_0 0.044 0.005 8.064 0.000 0.044 0.084
.soma_comp_1 0.045 0.006 8.048 0.000 0.045 0.085
.soma_comp_2 0.031 0.005 5.752 0.000 0.031 0.061
.soma_comp_3 0.021 0.006 3.764 0.000 0.021 0.041
.soma_comp_4 0.012 0.006 2.009 0.045 0.012 0.022
.soma_comp_5 -0.016 0.007 -2.354 0.019 -0.016 -0.027
.soma_comp_6 -0.015 0.009 -1.736 0.083 -0.015 -0.025
.soma_comp_0 ~~
.withdep_comp_1 0.029 0.006 5.060 0.000 0.029 0.052
.withdep_comp_1 ~~
.soma_comp_1 0.058 0.006 10.058 0.000 0.058 0.105
.soma_comp_2 0.043 0.006 7.648 0.000 0.043 0.081
.soma_comp_3 0.044 0.006 7.705 0.000 0.044 0.083
.soma_comp_4 0.031 0.006 4.951 0.000 0.031 0.055
.soma_comp_5 0.026 0.007 3.664 0.000 0.026 0.042
.soma_comp_6 0.010 0.009 1.208 0.227 0.010 0.017
.soma_comp_0 ~~
.withdep_comp_2 0.042 0.006 6.656 0.000 0.042 0.069
.soma_comp_1 ~~
.withdep_comp_2 0.057 0.006 8.986 0.000 0.057 0.094
.withdep_comp_2 ~~
.soma_comp_2 0.072 0.006 11.776 0.000 0.072 0.124
.soma_comp_3 0.054 0.006 8.609 0.000 0.054 0.092
.soma_comp_4 0.070 0.007 10.249 0.000 0.070 0.113
.soma_comp_5 0.062 0.008 8.072 0.000 0.062 0.092
.soma_comp_6 0.047 0.010 4.774 0.000 0.047 0.068
.soma_comp_0 ~~
.withdep_comp_3 0.057 0.007 7.931 0.000 0.057 0.084
.soma_comp_1 ~~
.withdep_comp_3 0.051 0.007 7.008 0.000 0.051 0.075
.soma_comp_2 ~~
.withdep_comp_3 0.057 0.007 8.200 0.000 0.057 0.087
.withdep_comp_3 ~~
.soma_comp_3 0.080 0.007 11.110 0.000 0.080 0.120
.soma_comp_4 0.106 0.008 13.491 0.000 0.106 0.151
.soma_comp_5 0.118 0.009 13.337 0.000 0.118 0.154
.soma_comp_6 0.121 0.011 11.198 0.000 0.121 0.155
.soma_comp_0 ~~
.withdep_comp_4 0.049 0.008 5.924 0.000 0.049 0.065
.soma_comp_1 ~~
.withdep_comp_4 0.061 0.008 7.390 0.000 0.061 0.081
.soma_comp_2 ~~
.withdep_comp_4 0.056 0.008 7.058 0.000 0.056 0.078
.soma_comp_3 ~~
.withdep_comp_4 0.079 0.008 9.688 0.000 0.079 0.108
.withdep_comp_4 ~~
.soma_comp_4 0.145 0.009 16.542 0.000 0.145 0.188
.soma_comp_5 0.141 0.010 14.335 0.000 0.141 0.168
.soma_comp_6 0.161 0.012 13.506 0.000 0.161 0.189
.soma_comp_0 ~~
.withdep_comp_5 0.040 0.009 4.447 0.000 0.040 0.051
.soma_comp_1 ~~
.withdep_comp_5 0.054 0.009 5.956 0.000 0.054 0.068
.soma_comp_2 ~~
.withdep_comp_5 0.050 0.009 5.749 0.000 0.050 0.066
.soma_comp_3 ~~
.withdep_comp_5 0.071 0.009 8.036 0.000 0.071 0.094
.soma_comp_4 ~~
.withdep_comp_5 0.134 0.010 14.006 0.000 0.134 0.166
.withdep_comp_5 ~~
.soma_comp_5 0.206 0.011 19.371 0.000 0.206 0.233
.soma_comp_6 0.193 0.013 15.140 0.000 0.193 0.216
.soma_comp_0 ~~
.withdep_comp_6 0.048 0.010 4.665 0.000 0.048 0.063
.soma_comp_1 ~~
.withdep_comp_6 0.036 0.010 3.474 0.001 0.036 0.047
.soma_comp_2 ~~
.withdep_comp_6 0.037 0.010 3.838 0.000 0.037 0.051
.soma_comp_3 ~~
.withdep_comp_6 0.048 0.010 4.887 0.000 0.048 0.066
.soma_comp_4 ~~
.withdep_comp_6 0.092 0.011 8.501 0.000 0.092 0.118
.soma_comp_5 ~~
.withdep_comp_6 0.134 0.012 11.295 0.000 0.134 0.157
.withdep_comp_6 ~~
.soma_comp_6 0.204 0.013 15.863 0.000 0.204 0.237
.rulebreak_comp_0 ~~
.aggress_comp_0 0.222 0.006 38.844 0.000 0.222 0.467
.aggress_comp_1 0.173 0.005 32.296 0.000 0.173 0.376
.aggress_comp_2 0.162 0.005 30.764 0.000 0.162 0.360
.aggress_comp_3 0.139 0.005 26.400 0.000 0.139 0.315
.aggress_comp_4 0.131 0.005 25.963 0.000 0.131 0.319
.aggress_comp_5 0.134 0.005 25.734 0.000 0.134 0.324
.aggress_comp_6 0.112 0.006 19.810 0.000 0.112 0.298
.aggress_comp_0 ~~
.rulebrek_cmp_1 0.182 0.005 33.047 0.000 0.182 0.382
.rulebreak_comp_1 ~~
.aggress_comp_1 0.216 0.006 38.071 0.000 0.216 0.470
.aggress_comp_2 0.170 0.005 31.916 0.000 0.170 0.378
.aggress_comp_3 0.152 0.005 28.473 0.000 0.152 0.343
.aggress_comp_4 0.144 0.005 28.155 0.000 0.144 0.349
.aggress_comp_5 0.136 0.005 25.879 0.000 0.136 0.328
.aggress_comp_6 0.124 0.006 21.453 0.000 0.124 0.328
.aggress_comp_0 ~~
.rulebrek_cmp_2 0.161 0.006 28.941 0.000 0.161 0.333
.aggress_comp_1 ~~
.rulebrek_cmp_2 0.165 0.005 30.008 0.000 0.165 0.351
.rulebreak_comp_2 ~~
.aggress_comp_2 0.223 0.006 38.652 0.000 0.223 0.487
.aggress_comp_3 0.169 0.006 30.330 0.000 0.169 0.374
.aggress_comp_4 0.143 0.005 27.242 0.000 0.143 0.340
.aggress_comp_5 0.144 0.005 26.830 0.000 0.144 0.341
.aggress_comp_6 0.141 0.006 23.742 0.000 0.141 0.365
.aggress_comp_0 ~~
.rulebrek_cmp_3 0.161 0.006 27.721 0.000 0.161 0.323
.aggress_comp_1 ~~
.rulebrek_cmp_3 0.164 0.006 28.727 0.000 0.164 0.340
.aggress_comp_2 ~~
.rulebrek_cmp_3 0.180 0.006 31.522 0.000 0.180 0.382
.rulebreak_comp_3 ~~
.aggress_comp_3 0.232 0.006 38.095 0.000 0.232 0.499
.aggress_comp_4 0.166 0.005 30.249 0.000 0.166 0.384
.aggress_comp_5 0.157 0.006 27.905 0.000 0.157 0.362
.aggress_comp_6 0.154 0.006 25.720 0.000 0.154 0.389
.aggress_comp_0 ~~
.rulebrek_cmp_4 0.183 0.007 26.888 0.000 0.183 0.317
.aggress_comp_1 ~~
.rulebrek_cmp_4 0.189 0.007 28.361 0.000 0.189 0.338
.aggress_comp_2 ~~
.rulebrek_cmp_4 0.189 0.007 28.671 0.000 0.189 0.346
.aggress_comp_3 ~~
.rulebrek_cmp_4 0.205 0.007 30.338 0.000 0.205 0.381
.rulebreak_comp_4 ~~
.aggress_comp_4 0.250 0.007 37.346 0.000 0.250 0.499
.aggress_comp_5 0.208 0.007 31.322 0.000 0.208 0.415
.aggress_comp_6 0.175 0.007 24.756 0.000 0.175 0.381
.aggress_comp_0 ~~
.rulebrek_cmp_5 0.214 0.008 26.203 0.000 0.214 0.317
.aggress_comp_1 ~~
.rulebrek_cmp_5 0.201 0.008 25.323 0.000 0.201 0.308
.aggress_comp_2 ~~
.rulebrek_cmp_5 0.227 0.008 28.754 0.000 0.227 0.356
.aggress_comp_3 ~~
.rulebrek_cmp_5 0.226 0.008 28.207 0.000 0.226 0.359
.aggress_comp_4 ~~
.rulebrek_cmp_5 0.234 0.008 30.630 0.000 0.234 0.399
.rulebreak_comp_5 ~~
.aggress_comp_5 0.312 0.008 38.050 0.000 0.312 0.530
.aggress_comp_6 0.239 0.008 28.637 0.000 0.239 0.444
.aggress_comp_0 ~~
.rulebrek_cmp_6 0.195 0.010 20.251 0.000 0.195 0.282
.aggress_comp_1 ~~
.rulebrek_cmp_6 0.178 0.009 18.768 0.000 0.178 0.265
.aggress_comp_2 ~~
.rulebrek_cmp_6 0.212 0.009 22.875 0.000 0.212 0.324
.aggress_comp_3 ~~
.rulebrek_cmp_6 0.221 0.009 23.902 0.000 0.221 0.342
.aggress_comp_4 ~~
.rulebrek_cmp_6 0.225 0.009 25.448 0.000 0.225 0.375
.aggress_comp_5 ~~
.rulebrek_cmp_6 0.251 0.009 27.354 0.000 0.251 0.416
.rulebreak_comp_6 ~~
.aggress_comp_6 0.275 0.009 29.319 0.000 0.275 0.500
.p_i ~~
.p_s -0.031 0.006 -5.454 0.000 -0.224 -0.224
.p_q 0.001 0.002 0.665 0.506 0.024 0.024
.p_s ~~
.p_q -0.024 0.003 -9.068 0.000 -0.864 -0.864
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) 0.014 0.004 3.334 0.001 0.014 0.014
.asr___0 (t_AW) 0.020 0.005 3.983 0.000 0.020 0.019
.asr___0 (t_AS) 0.014 0.005 2.556 0.011 0.014 0.014
.asr___0 (t_AP) 0.018 0.005 3.998 0.000 0.018 0.018
.asr___0 (t_AH) 0.018 0.005 3.579 0.000 0.018 0.018
.asr___0 (t_AA) 0.022 0.005 3.967 0.000 0.022 0.021
.asr___0 (t_AR) 0.019 0.005 4.101 0.000 0.019 0.019
.asr___0 (t_AG) 0.009 0.007 1.295 0.195 0.009 0.009
.asr___2 (t_AX) 0.014 0.004 3.334 0.001 0.014 0.014
.asr___2 (t_AW) 0.020 0.005 3.983 0.000 0.020 0.019
.asr___2 (t_AS) 0.014 0.005 2.556 0.011 0.014 0.014
.asr___2 (t_AP) 0.018 0.005 3.998 0.000 0.018 0.018
.asr___2 (t_AH) 0.018 0.005 3.579 0.000 0.018 0.018
.asr___2 (t_AA) 0.022 0.005 3.967 0.000 0.022 0.021
.asr___2 (t_AR) 0.019 0.005 4.101 0.000 0.019 0.019
.asr___2 (t_AG) 0.009 0.007 1.295 0.195 0.009 0.009
.asr___4 (t_AX) 0.014 0.004 3.334 0.001 0.014 0.014
.asr___4 (t_AW) 0.020 0.005 3.983 0.000 0.020 0.020
.asr___4 (t_AS) 0.014 0.005 2.556 0.011 0.014 0.014
.asr___4 (t_AP) 0.018 0.005 3.998 0.000 0.018 0.019
.asr___4 (t_AH) 0.018 0.005 3.579 0.000 0.018 0.018
.asr___4 (t_AA) 0.022 0.005 3.967 0.000 0.022 0.022
.asr___4 (t_AR) 0.019 0.005 4.101 0.000 0.019 0.020
.asr___4 (t_AG) 0.009 0.007 1.295 0.195 0.009 0.009
.a_i -0.010 0.011 -0.940 0.347 -0.013 -0.013
.a_s -0.016 0.005 -2.967 0.003 -0.062 -0.062
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.anxd__0 (ta_X) -0.010 0.005 -1.964 0.049 -0.010 -0.010
.anxd__1 (ta_X) -0.010 0.005 -1.964 0.049 -0.010 -0.010
.anxd__2 (ta_X) -0.010 0.005 -1.964 0.049 -0.010 -0.010
.anxd__3 (ta_X) -0.010 0.005 -1.964 0.049 -0.010 -0.010
.anxd__4 (ta_X) -0.010 0.005 -1.964 0.049 -0.010 -0.010
.anxd__5 (ta_X) -0.010 0.005 -1.964 0.049 -0.010 -0.010
.anxd__6 (ta_X) -0.010 0.005 -1.964 0.049 -0.010 -0.010
.wthd__0 (ta_W) -0.076 0.005 -15.136 0.000 -0.076 -0.084
.wthd__1 (ta_W) -0.076 0.005 -15.136 0.000 -0.076 -0.083
.wthd__2 (ta_W) -0.076 0.005 -15.136 0.000 -0.076 -0.079
.wthd__3 (ta_W) -0.076 0.005 -15.136 0.000 -0.076 -0.074
.wthd__4 (ta_W) -0.076 0.005 -15.136 0.000 -0.076 -0.070
.wthd__5 (ta_W) -0.076 0.005 -15.136 0.000 -0.076 -0.068
.wthd__6 (ta_W) -0.076 0.005 -15.136 0.000 -0.076 -0.071
.sm_cm_0 (ta_S) -0.014 0.006 -2.306 0.021 -0.014 -0.014
.sm_cm_1 (ta_S) -0.014 0.006 -2.306 0.021 -0.014 -0.014
.sm_cm_2 (ta_S) -0.014 0.006 -2.306 0.021 -0.014 -0.014
.sm_cm_3 (ta_S) -0.014 0.006 -2.306 0.021 -0.014 -0.014
.sm_cm_4 (ta_S) -0.014 0.006 -2.306 0.021 -0.014 -0.014
.sm_cm_5 (ta_S) -0.014 0.006 -2.306 0.021 -0.014 -0.013
.sm_cm_6 (ta_S) -0.014 0.006 -2.306 0.021 -0.014 -0.013
.scpr__0 (ta_P) 0.029 0.004 7.258 0.000 0.029 0.028
.scpr__1 (ta_P) 0.029 0.004 7.258 0.000 0.029 0.028
.scpr__2 (ta_P) 0.029 0.004 7.258 0.000 0.029 0.029
.scpr__3 (ta_P) 0.029 0.004 7.258 0.000 0.029 0.030
.scpr__4 (ta_P) 0.029 0.004 7.258 0.000 0.029 0.030
.scpr__5 (ta_P) 0.029 0.004 7.258 0.000 0.029 0.030
.scpr__6 (ta_P) 0.029 0.004 7.258 0.000 0.029 0.032
.thpr__0 (ta_H) 0.031 0.004 7.786 0.000 0.031 0.030
.thpr__1 (ta_H) 0.031 0.004 7.786 0.000 0.031 0.030
.thpr__2 (ta_H) 0.031 0.004 7.786 0.000 0.031 0.031
.thpr__3 (ta_H) 0.031 0.004 7.786 0.000 0.031 0.031
.thpr__4 (ta_H) 0.031 0.004 7.786 0.000 0.031 0.032
.thpr__5 (ta_H) 0.031 0.004 7.786 0.000 0.031 0.031
.thpr__6 (ta_H) 0.031 0.004 7.786 0.000 0.031 0.034
.attp__0 (ta_A) 0.034 0.005 7.289 0.000 0.034 0.034
.attp__1 (ta_A) 0.034 0.005 7.289 0.000 0.034 0.035
.attp__2 (ta_A) 0.034 0.005 7.289 0.000 0.034 0.035
.attp__3 (ta_A) 0.034 0.005 7.289 0.000 0.034 0.036
.attp__4 (ta_A) 0.034 0.005 7.289 0.000 0.034 0.037
.attp__5 (ta_A) 0.034 0.005 7.289 0.000 0.034 0.036
.attp__6 (ta_A) 0.034 0.005 7.289 0.000 0.034 0.038
.rlbr__0 (ta_R) -0.017 0.005 -3.430 0.001 -0.017 -0.018
.rlbr__1 (ta_R) -0.017 0.005 -3.430 0.001 -0.017 -0.018
.rlbr__2 (ta_R) -0.017 0.005 -3.430 0.001 -0.017 -0.018
.rlbr__3 (ta_R) -0.017 0.005 -3.430 0.001 -0.017 -0.018
.rlbr__4 (ta_R) -0.017 0.005 -3.430 0.001 -0.017 -0.016
.rlbr__5 (ta_R) -0.017 0.005 -3.430 0.001 -0.017 -0.015
.rlbr__6 (ta_R) -0.017 0.005 -3.430 0.001 -0.017 -0.015
.aggr__0 (ta_G) 0.001 0.004 0.125 0.900 0.001 0.001
.aggr__1 (ta_G) 0.001 0.004 0.125 0.900 0.001 0.001
.aggr__2 (ta_G) 0.001 0.004 0.125 0.900 0.001 0.001
.aggr__3 (ta_G) 0.001 0.004 0.125 0.900 0.001 0.001
.aggr__4 (ta_G) 0.001 0.004 0.125 0.900 0.001 0.001
.aggr__5 (ta_G) 0.001 0.004 0.125 0.900 0.001 0.001
.aggr__6 (ta_G) 0.001 0.004 0.125 0.900 0.001 0.001
.p_i -0.029 0.008 -3.367 0.001 -0.041 -0.041
.p_s 0.003 0.010 0.354 0.724 0.008 0.008
.p_q -0.006 0.003 -1.869 0.062 -0.048 -0.048
.p_etaB 0.000 0.000 0.000
.p_eta1 0.000 0.000 0.000
.p_eta2 0.000 0.000 0.000
.p_eta3 0.000 0.000 0.000
.p_eta4 0.000 0.000 0.000
.p_eta5 0.000 0.000 0.000
.p_eta6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.099 0.006 16.441 0.000 0.140 0.140
.a_eta2 0.182 0.005 39.421 0.000 0.263 0.263
.a_eta4 0.100 0.007 14.011 0.000 0.157 0.157
.asr_nxdp_cmp_0 0.313 0.006 53.529 0.000 0.313 0.306
.asr_wthdp_cm_0 0.485 0.008 63.090 0.000 0.485 0.463
.asr_soma_cmp_0 0.550 0.008 66.564 0.000 0.550 0.549
.asr_thprb_cm_0 0.470 0.007 65.243 0.000 0.470 0.434
.asr_ttprb_cm_0 0.409 0.006 64.500 0.000 0.409 0.412
.asr_rlbrk_cm_0 0.659 0.009 69.893 0.000 0.659 0.605
.asr_ggrss_cm_0 0.448 0.007 64.494 0.000 0.448 0.427
.asr_intr_cmp_0 0.898 0.012 74.908 0.000 0.898 0.841
.asr_nxdp_cmp_2 0.341 0.006 53.537 0.000 0.341 0.330
.asr_wthdp_cm_2 0.481 0.008 61.123 0.000 0.481 0.466
.asr_soma_cmp_2 0.560 0.009 64.624 0.000 0.560 0.558
.asr_thprb_cm_2 0.411 0.007 61.725 0.000 0.411 0.407
.asr_ttprb_cm_2 0.384 0.006 61.261 0.000 0.384 0.403
.asr_rlbrk_cm_2 0.603 0.009 66.752 0.000 0.603 0.589
.asr_ggrss_cm_2 0.435 0.007 62.267 0.000 0.435 0.425
.asr_intr_cmp_2 0.821 0.011 72.052 0.000 0.821 0.832
.asr_nxdp_cmp_4 0.354 0.007 50.917 0.000 0.354 0.356
.asr_wthdp_cm_4 0.460 0.008 57.255 0.000 0.460 0.475
.asr_soma_cmp_4 0.555 0.009 60.447 0.000 0.555 0.576
.asr_thprb_cm_4 0.383 0.007 57.176 0.000 0.383 0.409
.asr_ttprb_cm_4 0.421 0.007 58.631 0.000 0.421 0.445
.asr_rlbrk_cm_4 0.561 0.009 61.992 0.000 0.561 0.591
.asr_ggrss_cm_4 0.417 0.007 58.221 0.000 0.417 0.434
.asr_intr_cmp_4 0.806 0.012 67.778 0.000 0.806 0.840
.a_i 0.609 0.012 49.323 0.000 1.000 1.000
.a_s 0.064 0.003 20.469 0.000 0.999 0.999
.p_etaB 0.080 0.004 20.603 0.000 0.145 0.145
.p_eta1 0.124 0.003 42.700 0.000 0.226 0.226
.p_eta2 0.120 0.003 42.405 0.000 0.226 0.226
.p_eta3 0.112 0.003 39.414 0.000 0.215 0.215
.p_eta4 0.105 0.003 38.366 0.000 0.209 0.209
.p_eta5 0.111 0.003 35.570 0.000 0.222 0.222
.p_eta6 0.042 0.005 9.294 0.000 0.093 0.093
.anxdep_comp_0 0.508 0.008 66.927 0.000 0.508 0.478
.withdep_comp_0 0.405 0.006 65.312 0.000 0.405 0.494
.soma_comp_0 0.690 0.009 72.692 0.000 0.690 0.695
.socprob_comp_0 0.425 0.007 61.489 0.000 0.425 0.380
.thouprob_cmp_0 0.405 0.006 62.837 0.000 0.405 0.374
.attprob_comp_0 0.457 0.007 66.007 0.000 0.457 0.455
.rulebrek_cmp_0 0.480 0.007 69.169 0.000 0.480 0.541
.aggress_comp_0 0.470 0.007 64.416 0.000 0.470 0.427
.anxdep_comp_1 0.525 0.008 65.724 0.000 0.525 0.490
.withdep_comp_1 0.432 0.007 66.209 0.000 0.432 0.515
.soma_comp_1 0.699 0.010 71.016 0.000 0.699 0.701
.socprob_comp_1 0.394 0.007 59.659 0.000 0.394 0.367
.thouprob_cmp_1 0.417 0.007 61.513 0.000 0.417 0.385
.attprob_comp_1 0.449 0.007 64.616 0.000 0.449 0.454
.rulebrek_cmp_1 0.481 0.007 67.222 0.000 0.481 0.546
.aggress_comp_1 0.441 0.007 62.954 0.000 0.441 0.416
.anxdep_comp_2 0.498 0.008 65.064 0.000 0.498 0.483
.withdep_comp_2 0.529 0.008 67.188 0.000 0.529 0.571
.soma_comp_2 0.639 0.009 69.716 0.000 0.639 0.687
.socprob_comp_2 0.352 0.006 58.211 0.000 0.352 0.347
.thouprob_cmp_2 0.368 0.006 59.449 0.000 0.368 0.361
.attprob_comp_2 0.422 0.007 63.721 0.000 0.422 0.446
.rulebrek_cmp_2 0.500 0.008 66.263 0.000 0.500 0.561
.aggress_comp_2 0.422 0.007 61.939 0.000 0.422 0.411
.anxdep_comp_3 0.524 0.008 63.674 0.000 0.524 0.501
.withdep_comp_3 0.678 0.010 65.519 0.000 0.678 0.636
.soma_comp_3 0.644 0.010 67.674 0.000 0.644 0.693
.socprob_comp_3 0.322 0.006 55.854 0.000 0.322 0.332
.thouprob_cmp_3 0.343 0.006 56.900 0.000 0.343 0.350
.attprob_comp_3 0.417 0.007 62.129 0.000 0.417 0.448
.rulebrek_cmp_3 0.528 0.008 63.727 0.000 0.528 0.580
.aggress_comp_3 0.410 0.007 59.891 0.000 0.410 0.409
.anxdep_comp_4 0.494 0.008 61.464 0.000 0.494 0.495
.withdep_comp_4 0.814 0.013 63.065 0.000 0.814 0.684
.soma_comp_4 0.729 0.011 65.713 0.000 0.729 0.726
.socprob_comp_4 0.306 0.006 53.981 0.000 0.306 0.328
.thouprob_cmp_4 0.323 0.006 54.638 0.000 0.323 0.345
.attprob_comp_4 0.383 0.006 59.814 0.000 0.383 0.435
.rulebrek_cmp_4 0.707 0.011 63.078 0.000 0.707 0.657
.aggress_comp_4 0.355 0.006 57.394 0.000 0.355 0.383
.anxdep_comp_5 0.518 0.009 58.670 0.000 0.518 0.509
.withdep_comp_5 0.898 0.015 60.289 0.000 0.898 0.707
.soma_comp_5 0.872 0.014 62.687 0.000 0.872 0.762
.socprob_comp_5 0.300 0.006 50.615 0.000 0.300 0.326
.thouprob_cmp_5 0.375 0.007 53.389 0.000 0.375 0.381
.attprob_comp_5 0.399 0.007 57.819 0.000 0.399 0.448
.rulebrek_cmp_5 0.968 0.016 61.583 0.000 0.968 0.726
.aggress_comp_5 0.357 0.007 54.947 0.000 0.357 0.387
.anxdep_comp_6 0.468 0.010 46.851 0.000 0.468 0.509
.withdep_comp_6 0.834 0.017 48.410 0.000 0.834 0.713
.soma_comp_6 0.891 0.018 50.055 0.000 0.891 0.783
.socprob_comp_6 0.257 0.007 39.047 0.000 0.257 0.314
.thouprob_cmp_6 0.297 0.007 40.434 0.000 0.297 0.351
.attprob_comp_6 0.373 0.008 46.813 0.000 0.373 0.456
.rulebrek_cmp_6 1.016 0.020 49.995 0.000 1.016 0.755
.aggress_comp_6 0.298 0.007 43.087 0.000 0.298 0.368
.p_i 0.237 0.007 35.752 0.000 0.498 0.498
.p_s 0.080 0.009 9.043 0.000 0.440 0.440
.p_q 0.009 0.001 11.289 0.000 0.631 0.631
R-Square:
Estimate
a_etaB 0.860
a_eta2 0.737
a_eta4 0.843
asr_nxdp_cmp_0 0.694
asr_wthdp_cm_0 0.537
asr_soma_cmp_0 0.451
asr_thprb_cm_0 0.566
asr_ttprb_cm_0 0.588
asr_rlbrk_cm_0 0.395
asr_ggrss_cm_0 0.573
asr_intr_cmp_0 0.159
asr_nxdp_cmp_2 0.670
asr_wthdp_cm_2 0.534
asr_soma_cmp_2 0.442
asr_thprb_cm_2 0.593
asr_ttprb_cm_2 0.597
asr_rlbrk_cm_2 0.411
asr_ggrss_cm_2 0.575
asr_intr_cmp_2 0.168
asr_nxdp_cmp_4 0.644
asr_wthdp_cm_4 0.525
asr_soma_cmp_4 0.424
asr_thprb_cm_4 0.591
asr_ttprb_cm_4 0.555
asr_rlbrk_cm_4 0.409
asr_ggrss_cm_4 0.566
asr_intr_cmp_4 0.160
a_i 0.000
a_s 0.001
p_etaB 0.855
p_eta1 0.774
p_eta2 0.774
p_eta3 0.785
p_eta4 0.791
p_eta5 0.778
p_eta6 0.907
anxdep_comp_0 0.522
withdep_comp_0 0.506
soma_comp_0 0.305
socprob_comp_0 0.620
thouprob_cmp_0 0.626
attprob_comp_0 0.545
rulebrek_cmp_0 0.459
aggress_comp_0 0.573
anxdep_comp_1 0.510
withdep_comp_1 0.485
soma_comp_1 0.299
socprob_comp_1 0.633
thouprob_cmp_1 0.615
attprob_comp_1 0.546
rulebrek_cmp_1 0.454
aggress_comp_1 0.584
anxdep_comp_2 0.517
withdep_comp_2 0.429
soma_comp_2 0.313
socprob_comp_2 0.653
thouprob_cmp_2 0.639
attprob_comp_2 0.554
rulebrek_cmp_2 0.439
aggress_comp_2 0.589
anxdep_comp_3 0.499
withdep_comp_3 0.364
soma_comp_3 0.307
socprob_comp_3 0.668
thouprob_cmp_3 0.650
attprob_comp_3 0.552
rulebrek_cmp_3 0.420
aggress_comp_3 0.591
anxdep_comp_4 0.505
withdep_comp_4 0.316
soma_comp_4 0.274
socprob_comp_4 0.672
thouprob_cmp_4 0.655
attprob_comp_4 0.565
rulebrek_cmp_4 0.343
aggress_comp_4 0.617
anxdep_comp_5 0.491
withdep_comp_5 0.293
soma_comp_5 0.238
socprob_comp_5 0.674
thouprob_cmp_5 0.619
attprob_comp_5 0.552
rulebrek_cmp_5 0.274
aggress_comp_5 0.613
anxdep_comp_6 0.491
withdep_comp_6 0.287
soma_comp_6 0.217
socprob_comp_6 0.686
thouprob_cmp_6 0.649
attprob_comp_6 0.544
rulebrek_cmp_6 0.245
aggress_comp_6 0.632
p_i 0.502
p_s 0.560
p_q 0.369
Symptom model
Externalizing Symptoms
Ext ~ g model with sex
Children’s Externalizing symptoms (Ext) was regressed on children’s cognitive functioning (g), with sex as a covariate.
Ext.pg6.sex.model <- "#
# second-order g factor
#factor loadings # S & S2
g_etaB =~ 1*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ 1*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ 1*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ 1*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances
g_etaB~~NA*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1
#latent basis model
g_i =~ 1*g_etaB + 1*g_eta2 + 1*g_eta4 + 1*g_eta6
g_s =~ 0*g_etaB + 1*g_eta2 + 2*g_eta4 + 3*g_eta6
g_i~~NA*g_i
g_s~~NA*g_s
g_i~~g_s
g_i~1 + dummy_sex
g_s~1 + dummy_sex
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
# Externalizing model
p_i =~ 1*Ext_comp_0 + 1*Ext_comp_1 + 1*Ext_comp_2 + 1*Ext_comp_3 + 1*Ext_comp_4 + 1*Ext_comp_5 + 1*Ext_comp_6
p_s =~ 0*Ext_comp_0 + .5*Ext_comp_1 + 1*Ext_comp_2 + 1.5*Ext_comp_3 + 2*Ext_comp_4 + 2.5*Ext_comp_5 + 3*Ext_comp_6
p_q =~ 0*Ext_comp_0 + .25*Ext_comp_1 + 1*Ext_comp_2 + 2.25*Ext_comp_3 + 4*Ext_comp_4 + 6.25*Ext_comp_5 + 9*Ext_comp_6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1 + dummy_sex
p_s~1 + dummy_sex
p_q~1 + dummy_sex
Ext_comp_0 ~~ NA*Ext_comp_0
Ext_comp_1 ~~ NA*Ext_comp_1
Ext_comp_2 ~~ NA*Ext_comp_2
Ext_comp_3 ~~ NA*Ext_comp_3
Ext_comp_4 ~~ NA*Ext_comp_4
Ext_comp_5 ~~ NA*Ext_comp_5
Ext_comp_6 ~~ NA*Ext_comp_6
Ext_comp_0 ~ 0*1
Ext_comp_1 ~ 0*1
Ext_comp_2 ~ 0*1
Ext_comp_3 ~ 0*1
Ext_comp_4 ~ 0*1
Ext_comp_5 ~ 0*1
Ext_comp_6 ~ 0*1
# regression
p_i ~ g_i
p_s ~ g_i + g_s
p_q ~ g_i + g_s"
lavaan(Ext.pg6.sex.model,
data = readRDS("pga6_all_data_sex.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = T,
std.lv = T
) %>%
saveRDS("pgcm_Ext_pg6_sex_model.rds")result
readRDS("pgcm_Ext_pg6_sex_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_Ext_pg6_sex_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_Ext_pg6_sex_model.rds"), "cor.lv"))$value[1] 4.85763038 2.03302398 0.89381349 0.80194917 0.16150900 0.09063789 0.08344945
[8] 0.06122750 0.01675914
readRDS("pgcm_Ext_pg6_sex_result.rds")lavaan 0.6-19 ended normally after 136 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 137
Number of equality constraints 27
Number of observations 11867
Number of missing patterns 674
Model Test User Model:
Test statistic 6812.431
Degrees of freedom 322
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 128461.908
Degrees of freedom 378
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.949
Tucker-Lewis Index (TLI) 0.941
Robust Comparative Fit Index (CFI) 0.942
Robust Tucker-Lewis Index (TLI) 0.932
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -252581.678
Loglikelihood unrestricted model (H1) -249175.463
Akaike (AIC) 505383.356
Bayesian (BIC) 506195.323
Sample-size adjusted Bayesian (SABIC) 505845.755
Root Mean Square Error of Approximation:
RMSEA 0.041
90 Percent confidence interval - lower 0.040
90 Percent confidence interval - upper 0.042
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.054
90 Percent confidence interval - lower 0.053
90 Percent confidence interval - upper 0.056
P-value H_0: Robust RMSEA <= 0.050 0.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.066
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB =~
flnkr_0 1.000 0.404 0.438
pttrn_0 (lm_R) 1.216 0.011 112.800 0.000 0.491 0.644
pictr_0 (lm_M) 0.601 0.009 64.882 0.000 0.243 0.288
pcvcb_0 (lm_P) 0.930 0.009 107.774 0.000 0.375 0.448
redng_0 (lm_V) 0.981 0.009 111.454 0.000 0.396 0.464
g_eta2 =~
flnkr_2 1.000 0.412 0.517
pttrn_2 (lm_R) 1.216 0.011 112.800 0.000 0.501 0.650
pictr_2 (lm_M) 0.601 0.009 64.882 0.000 0.248 0.278
pcvcb_2 (lm_P) 0.930 0.009 107.774 0.000 0.383 0.439
redng_2 (lm_V) 0.981 0.009 111.454 0.000 0.405 0.480
g_eta4 =~
flnkr_4 1.000 0.443 0.558
pttrn_4 (lm_R) 1.216 0.011 112.800 0.000 0.539 0.654
pictr_4 (lm_M) 0.601 0.009 64.882 0.000 0.266 0.251
pcvcb_4 (lm_P) 0.930 0.009 107.774 0.000 0.412 0.446
redng_4 (lm_V) 0.981 0.009 111.454 0.000 0.435 0.472
g_eta6 =~
flnkr_6 1.000 0.497 0.610
pttrn_6 (lm_R) 1.216 0.011 112.800 0.000 0.604 0.705
pictr_6 (lm_M) 0.601 0.009 64.882 0.000 0.299 0.282
pcvcb_6 (lm_P) 0.930 0.009 107.774 0.000 0.462 0.495
redng_6 (lm_V) 0.981 0.009 111.454 0.000 0.488 0.503
g_i =~
g_etaB 1.000 0.957 0.957
g_eta2 1.000 0.937 0.937
g_eta4 1.000 0.872 0.872
g_eta6 1.000 0.777 0.777
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.115 0.115
g_eta4 2.000 0.214 0.214
g_eta6 3.000 0.286 0.286
p_i =~
Ext_c_0 1.000 0.938 0.894
Ext_c_1 1.000 0.938 0.917
Ext_c_2 1.000 0.938 0.926
Ext_c_3 1.000 0.938 0.933
Ext_c_4 1.000 0.938 0.944
Ext_c_5 1.000 0.938 0.943
Ext_c_6 1.000 0.938 0.984
p_s =~
Ext_c_0 0.000 0.000 0.000
Ext_c_1 0.500 0.280 0.274
Ext_c_2 1.000 0.560 0.553
Ext_c_3 1.500 0.840 0.836
Ext_c_4 2.000 1.120 1.128
Ext_c_5 2.500 1.400 1.408
Ext_c_6 3.000 1.680 1.764
p_q =~
Ext_c_0 0.000 0.000 0.000
Ext_c_1 0.250 0.041 0.040
Ext_c_2 1.000 0.163 0.161
Ext_c_3 2.250 0.368 0.366
Ext_c_4 4.000 0.653 0.658
Ext_c_5 6.250 1.021 1.027
Ext_c_6 9.000 1.470 1.543
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_i ~
dummy_sex -0.040 0.009 -4.346 0.000 -0.104 -0.052
g_s ~
dummy_sex 0.004 0.003 1.205 0.228 0.088 0.044
p_i ~
dummy_sex 0.231 0.019 12.309 0.000 0.246 0.123
p_s ~
dummy_sex -0.027 0.021 -1.295 0.195 -0.048 -0.024
p_q ~
dummy_sex -0.009 0.006 -1.400 0.161 -0.054 -0.027
p_i ~
g_i -0.473 0.030 -15.584 0.000 -0.195 -0.195
p_s ~
g_i 0.232 0.064 3.618 0.000 0.160 0.160
g_s -2.572 1.079 -2.384 0.017 -0.218 -0.218
p_q ~
g_i -0.055 0.019 -2.954 0.003 -0.130 -0.130
g_s 0.628 0.310 2.025 0.043 0.182 0.182
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.flanker_0 ~~
.flanker_2 0.138 0.007 18.832 0.000 0.138 0.245
.flanker_4 0.098 0.007 13.054 0.000 0.098 0.179
.flanker_6 0.086 0.009 9.317 0.000 0.086 0.162
.flanker_2 ~~
.flanker_4 0.144 0.007 19.794 0.000 0.144 0.319
.flanker_6 0.102 0.008 12.547 0.000 0.102 0.230
.flanker_4 ~~
.flanker_6 0.152 0.009 16.823 0.000 0.152 0.358
.pattern_0 ~~
.pattern_2 0.077 0.005 14.052 0.000 0.077 0.225
.pattern_4 0.042 0.006 7.078 0.000 0.042 0.115
.pattern_6 0.034 0.007 4.844 0.000 0.034 0.097
.pattern_2 ~~
.pattern_4 0.108 0.007 15.689 0.000 0.108 0.294
.pattern_6 0.076 0.008 10.125 0.000 0.076 0.214
.pattern_4 ~~
.pattern_6 0.129 0.009 14.469 0.000 0.129 0.341
.picture_0 ~~
.picture_2 0.251 0.007 33.833 0.000 0.251 0.364
.picture_4 0.257 0.009 28.056 0.000 0.257 0.310
.picture_6 0.281 0.012 23.493 0.000 0.281 0.342
.picture_2 ~~
.picture_4 0.285 0.010 28.034 0.000 0.285 0.324
.picture_6 0.265 0.013 19.807 0.000 0.265 0.305
.picture_4 ~~
.picture_6 0.390 0.016 24.706 0.000 0.390 0.374
.picvocab_0 ~~
.picvocab_2 0.397 0.007 53.239 0.000 0.397 0.677
.picvocab_4 0.400 0.008 50.649 0.000 0.400 0.647
.picvocab_6 0.380 0.009 43.200 0.000 0.380 0.625
.picvocab_2 ~~
.picvocab_4 0.471 0.009 54.017 0.000 0.471 0.727
.picvocab_6 0.459 0.010 47.393 0.000 0.459 0.720
.picvocab_4 ~~
.picvocab_6 0.508 0.010 48.378 0.000 0.508 0.756
.reading_0 ~~
.reading_2 0.404 0.007 55.000 0.000 0.404 0.722
.reading_4 0.407 0.008 50.785 0.000 0.407 0.661
.reading_6 0.416 0.010 43.539 0.000 0.416 0.656
.reading_2 ~~
.reading_4 0.416 0.008 51.288 0.000 0.416 0.692
.reading_6 0.432 0.010 45.266 0.000 0.432 0.698
.reading_4 ~~
.reading_6 0.456 0.011 42.932 0.000 0.456 0.669
.picvocab_0 ~~
.reading_0 0.232 0.006 35.893 0.000 0.232 0.411
.reading_2 0.246 0.007 37.653 0.000 0.246 0.445
.reading_4 0.264 0.007 36.177 0.000 0.264 0.434
.reading_6 0.282 0.009 32.088 0.000 0.282 0.451
.picvocab_2 ~~
.reading_2 0.288 0.007 40.412 0.000 0.288 0.497
.reading_0 ~~
.picvocab_2 0.267 0.007 38.289 0.000 0.267 0.450
.picvocab_2 ~~
.reading_4 0.313 0.008 39.472 0.000 0.313 0.490
.reading_6 0.338 0.010 35.410 0.000 0.338 0.515
.picvocab_4 ~~
.reading_4 0.336 0.009 38.875 0.000 0.336 0.500
.reading_0 ~~
.picvocab_4 0.275 0.007 36.680 0.000 0.275 0.439
.reading_2 ~~
.picvocab_4 0.299 0.008 39.309 0.000 0.299 0.490
.picvocab_4 ~~
.reading_6 0.367 0.010 35.622 0.000 0.367 0.529
.picvocab_6 ~~
.reading_6 0.360 0.011 32.233 0.000 0.360 0.530
.reading_0 ~~
.picvocab_6 0.256 0.009 29.808 0.000 0.256 0.416
.reading_2 ~~
.picvocab_6 0.284 0.009 32.976 0.000 0.284 0.473
.reading_4 ~~
.picvocab_6 0.322 0.010 33.335 0.000 0.322 0.488
.g_i ~~
.g_s 0.005 0.001 4.478 0.000 0.290 0.290
.p_i ~~
.p_s -0.162 0.012 -13.864 0.000 -0.325 -0.325
.p_q 0.018 0.004 5.071 0.000 0.122 0.122
.p_s ~~
.p_q -0.077 0.005 -15.443 0.000 -0.881 -0.881
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.flnkr_0 (ta_S) 0.077 0.008 9.252 0.000 0.077 0.083
.flnkr_2 (ta_S) 0.077 0.008 9.252 0.000 0.077 0.096
.flnkr_4 (ta_S) 0.077 0.008 9.252 0.000 0.077 0.097
.flnkr_6 (ta_S) 0.077 0.008 9.252 0.000 0.077 0.094
.pttrn_0 (ta_R) 0.087 0.009 9.373 0.000 0.087 0.115
.pttrn_2 (ta_R) 0.087 0.009 9.373 0.000 0.087 0.113
.pttrn_4 (ta_R) 0.087 0.009 9.373 0.000 0.087 0.106
.pttrn_6 (ta_R) 0.087 0.009 9.373 0.000 0.087 0.102
.pictr_0 (ta_M) 0.039 0.007 5.193 0.000 0.039 0.046
.pictr_2 (ta_M) 0.039 0.007 5.193 0.000 0.039 0.044
.pictr_4 (ta_M) 0.039 0.007 5.193 0.000 0.039 0.037
.pictr_6 (ta_M) 0.039 0.007 5.193 0.000 0.039 0.037
.pcvcb_0 (ta_P) 0.027 0.008 3.318 0.001 0.027 0.032
.pcvcb_2 (ta_P) 0.027 0.008 3.318 0.001 0.027 0.031
.pcvcb_4 (ta_P) 0.027 0.008 3.318 0.001 0.027 0.029
.pcvcb_6 (ta_P) 0.027 0.008 3.318 0.001 0.027 0.029
.redng_0 (ta_V) 0.036 0.008 4.361 0.000 0.036 0.042
.redng_2 (ta_V) 0.036 0.008 4.361 0.000 0.036 0.043
.redng_4 (ta_V) 0.036 0.008 4.361 0.000 0.036 0.039
.redng_6 (ta_V) 0.036 0.008 4.361 0.000 0.036 0.037
.g_i -0.609 0.010 -58.350 0.000 -1.575 -1.575
.g_s 0.470 0.004 115.496 0.000 9.903 9.903
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
.p_i -0.330 0.023 -14.607 0.000 -0.352 -0.352
.p_s 1.318 0.539 2.445 0.014 2.354 2.354
.p_q -0.327 0.155 -2.113 0.035 -2.003 -2.003
.Ext_c_0 0.000 0.000 0.000
.Ext_c_1 0.000 0.000 0.000
.Ext_c_2 0.000 0.000 0.000
.Ext_c_3 0.000 0.000 0.000
.Ext_c_4 0.000 0.000 0.000
.Ext_c_5 0.000 0.000 0.000
.Ext_c_6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.g_etaB 0.014 0.002 6.088 0.000 0.084 0.084
.g_eta2 0.008 0.002 5.041 0.000 0.046 0.046
.g_eta4 0.017 0.002 8.215 0.000 0.088 0.088
.g_eta6 0.046 0.004 11.624 0.000 0.186 0.186
.flanker_0 0.685 0.010 68.058 0.000 0.685 0.808
.flanker_2 0.466 0.009 54.421 0.000 0.466 0.733
.flanker_4 0.434 0.009 49.432 0.000 0.434 0.688
.flanker_6 0.417 0.011 38.665 0.000 0.417 0.628
.pattern_0 0.341 0.006 52.838 0.000 0.341 0.586
.pattern_2 0.343 0.008 45.474 0.000 0.343 0.578
.pattern_4 0.389 0.009 43.060 0.000 0.389 0.573
.pattern_6 0.370 0.011 33.131 0.000 0.370 0.503
.picture_0 0.652 0.009 73.348 0.000 0.652 0.917
.picture_2 0.732 0.011 69.137 0.000 0.732 0.923
.picture_4 1.053 0.016 66.180 0.000 1.053 0.937
.picture_6 1.033 0.022 47.820 0.000 1.033 0.920
.picvocab_0 0.560 0.008 68.970 0.000 0.560 0.799
.picvocab_2 0.616 0.009 66.215 0.000 0.616 0.807
.picvocab_4 0.684 0.011 63.057 0.000 0.684 0.801
.picvocab_6 0.659 0.013 49.238 0.000 0.659 0.755
.reading_0 0.573 0.008 68.321 0.000 0.573 0.785
.reading_2 0.546 0.008 64.928 0.000 0.546 0.769
.reading_4 0.662 0.011 62.049 0.000 0.662 0.778
.reading_6 0.702 0.015 47.889 0.000 0.702 0.747
.g_i 0.149 0.004 35.764 0.000 0.997 0.997
.g_s 0.002 0.001 3.552 0.000 0.998 0.998
.p_i 0.830 0.014 57.777 0.000 0.944 0.944
.p_s 0.297 0.017 17.785 0.000 0.945 0.945
.p_q 0.026 0.002 16.149 0.000 0.964 0.964
.Ext_comp_0 0.220 0.008 28.740 0.000 0.220 0.200
.Ext_comp_1 0.272 0.005 55.820 0.000 0.272 0.260
.Ext_comp_2 0.276 0.005 56.755 0.000 0.276 0.269
.Ext_comp_3 0.269 0.005 53.341 0.000 0.269 0.266
.Ext_comp_4 0.258 0.005 52.105 0.000 0.258 0.262
.Ext_comp_5 0.257 0.006 46.550 0.000 0.257 0.260
.Ext_comp_6 0.099 0.008 12.071 0.000 0.099 0.109
R-Square:
Estimate
g_etaB 0.916
g_eta2 0.954
g_eta4 0.912
g_eta6 0.814
flanker_0 0.192
flanker_2 0.267
flanker_4 0.312
flanker_6 0.372
pattern_0 0.414
pattern_2 0.422
pattern_4 0.427
pattern_6 0.497
picture_0 0.083
picture_2 0.077
picture_4 0.063
picture_6 0.080
picvocab_0 0.201
picvocab_2 0.193
picvocab_4 0.199
picvocab_6 0.245
reading_0 0.215
reading_2 0.231
reading_4 0.222
reading_6 0.253
g_i 0.003
g_s 0.002
p_i 0.056
p_s 0.055
p_q 0.036
Ext_comp_0 0.800
Ext_comp_1 0.740
Ext_comp_2 0.731
Ext_comp_3 0.734
Ext_comp_4 0.738
Ext_comp_5 0.740
Ext_comp_6 0.891
Ext ~ pp model with sex
Children’s Externalizing symptoms (Ext) was regressed on parental psychopathology (pp), with sex as a covariate.
Ext.pa6.sex.model <- "# second-order pp factor
#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#observed variable intercepts
asr_anxdep_comp_0~tau_AX*1
asr_withdep_comp_0~tau_AW*1
asr_soma_comp_0~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_attprob_comp_0~tau_AH*1
asr_rulebreak_comp_0~tau_AA*1
asr_aggress_comp_0~tau_AR*1
asr_intru_comp_0~tau_AG*1
asr_anxdep_comp_2~tau_AX*1
asr_withdep_comp_2~tau_AW*1
asr_soma_comp_2~tau_AS*1
asr_thouprob_comp_2~tau_AP*1
asr_attprob_comp_2~tau_AH*1
asr_rulebreak_comp_2~tau_AA*1
asr_aggress_comp_2~tau_AR*1
asr_intru_comp_2~tau_AG*1
asr_anxdep_comp_4~tau_AX*1
asr_withdep_comp_4~tau_AW*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_4~tau_AP*1
asr_attprob_comp_4~tau_AH*1
asr_rulebreak_comp_4~tau_AA*1
asr_aggress_comp_4~tau_AR*1
asr_intru_comp_4~tau_AG*1
#latent basis model
a_i =~ 1*a_etaB+1*a_eta2+1*a_eta4
a_s =~ 0*a_etaB+1*a_eta2+2*a_eta4
a_i~~NA*a_i
a_s~~NA*a_s
a_i~~a_s
a_i~1 + dummy_sex
a_s~1 + dummy_sex
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
# Externalizing model
p_i =~ 1*Ext_comp_0 + 1*Ext_comp_1 + 1*Ext_comp_2 + 1*Ext_comp_3 + 1*Ext_comp_4 + 1*Ext_comp_5 + 1*Ext_comp_6
p_s =~ 0*Ext_comp_0 + .5*Ext_comp_1 + 1*Ext_comp_2 + 1.5*Ext_comp_3 + 2*Ext_comp_4 + 2.5*Ext_comp_5 + 3*Ext_comp_6
p_q =~ 0*Ext_comp_0 + .25*Ext_comp_1 + 1*Ext_comp_2 + 2.25*Ext_comp_3 + 4*Ext_comp_4 + 6.25*Ext_comp_5 + 9*Ext_comp_6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1 + dummy_sex
p_s~1 + dummy_sex
p_q~1 + dummy_sex
Ext_comp_0 ~~ NA*Ext_comp_0
Ext_comp_1 ~~ NA*Ext_comp_1
Ext_comp_2 ~~ NA*Ext_comp_2
Ext_comp_3 ~~ NA*Ext_comp_3
Ext_comp_4 ~~ NA*Ext_comp_4
Ext_comp_5 ~~ NA*Ext_comp_5
Ext_comp_6 ~~ NA*Ext_comp_6
Ext_comp_0 ~ 0*1
Ext_comp_1 ~ 0*1
Ext_comp_2 ~ 0*1
Ext_comp_3 ~ 0*1
Ext_comp_4 ~ 0*1
Ext_comp_5 ~ 0*1
Ext_comp_6 ~ 0*1
# regression
p_i ~ a_i
p_s ~ a_i + a_s
p_q ~ a_i + a_s"
lavaan(Ext.pa6.sex.model,
data = readRDS("pga6_all_data_sex.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = T,
std.lv = T
) %>%
saveRDS("pgcm_Ext_pa6_sex_model.rds")result
readRDS("pgcm_Ext_pa6_sex_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_Ext_pa6_sex_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_Ext_pa6_sex_model.rds"), "cor.lv"))$value[1] 3.83980044 2.40506465 0.66628986 0.60970991 0.22936435 0.13017402 0.07848206
[8] 0.04111472
readRDS("pgcm_Ext_pa6_sex_result.rds")lavaan 0.6-19 ended normally after 108 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 181
Number of equality constraints 30
Number of observations 11867
Number of missing patterns 102
Model Test User Model:
Test statistic 6720.595
Degrees of freedom 407
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 240489.260
Degrees of freedom 496
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.974
Tucker-Lewis Index (TLI) 0.968
Robust Comparative Fit Index (CFI) 0.974
Robust Tucker-Lewis Index (TLI) 0.968
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -342931.252
Loglikelihood unrestricted model (H1) -339570.955
Akaike (AIC) 686164.505
Bayesian (BIC) 687279.114
Sample-size adjusted Bayesian (SABIC) 686799.253
Root Mean Square Error of Approximation:
RMSEA 0.036
90 Percent confidence interval - lower 0.035
90 Percent confidence interval - upper 0.037
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.039
90 Percent confidence interval - lower 0.039
90 Percent confidence interval - upper 0.040
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.034
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.839 0.830
asr___0 (l_AW) 0.895 0.007 126.216 0.000 0.751 0.733
asr___0 (l_AS) 0.797 0.007 111.255 0.000 0.669 0.667
asr___0 (l_AC) 0.934 0.007 124.649 0.000 0.784 0.752
asr___0 (l_AH) 0.908 0.007 130.040 0.000 0.762 0.765
asr___0 (l_AA) 0.789 0.008 98.216 0.000 0.662 0.634
asr___0 (l_AR) 0.931 0.007 124.704 0.000 0.781 0.763
asr___0 (l_AG) 0.491 0.008 59.690 0.000 0.412 0.399
a_eta2 =~
asr___2 1.000 0.828 0.815
asr___2 (l_AW) 0.895 0.007 126.216 0.000 0.740 0.730
asr___2 (l_AS) 0.797 0.007 111.255 0.000 0.659 0.659
asr___2 (l_AC) 0.934 0.007 124.649 0.000 0.773 0.770
asr___2 (l_AH) 0.908 0.007 130.040 0.000 0.751 0.770
asr___2 (l_AA) 0.789 0.008 98.216 0.000 0.653 0.646
asr___2 (l_AR) 0.931 0.007 124.704 0.000 0.770 0.763
asr___2 (l_AG) 0.491 0.008 59.690 0.000 0.406 0.409
a_eta4 =~
asr___4 1.000 0.796 0.798
asr___4 (l_AW) 0.895 0.007 126.216 0.000 0.712 0.724
asr___4 (l_AS) 0.797 0.007 111.255 0.000 0.634 0.646
asr___4 (l_AC) 0.934 0.007 124.649 0.000 0.743 0.768
asr___4 (l_AH) 0.908 0.007 130.040 0.000 0.722 0.742
asr___4 (l_AA) 0.789 0.008 98.216 0.000 0.628 0.645
asr___4 (l_AR) 0.931 0.007 124.704 0.000 0.741 0.758
asr___4 (l_AG) 0.491 0.008 59.690 0.000 0.391 0.399
a_i =~
a_etaB 1.000 0.919 0.919
a_eta2 1.000 0.933 0.933
a_eta4 1.000 0.970 0.970
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.296 0.296
a_eta4 2.000 0.617 0.617
p_i =~
Ext_c_0 1.000 0.943 0.900
Ext_c_1 1.000 0.943 0.915
Ext_c_2 1.000 0.943 0.926
Ext_c_3 1.000 0.943 0.931
Ext_c_4 1.000 0.943 0.948
Ext_c_5 1.000 0.943 0.942
Ext_c_6 1.000 0.943 0.985
p_s =~
Ext_c_0 0.000 0.000 0.000
Ext_c_1 0.500 0.283 0.275
Ext_c_2 1.000 0.567 0.557
Ext_c_3 1.500 0.850 0.840
Ext_c_4 2.000 1.134 1.140
Ext_c_5 2.500 1.417 1.416
Ext_c_6 3.000 1.701 1.778
p_q =~
Ext_c_0 0.000 0.000 0.000
Ext_c_1 0.250 0.041 0.040
Ext_c_2 1.000 0.165 0.162
Ext_c_3 2.250 0.371 0.366
Ext_c_4 4.000 0.659 0.663
Ext_c_5 6.250 1.030 1.030
Ext_c_6 9.000 1.484 1.551
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_i ~
dummy_sex 0.031 0.016 1.928 0.054 0.040 0.020
a_s ~
dummy_sex -0.014 0.007 -1.928 0.054 -0.057 -0.028
p_i ~
dummy_sex 0.229 0.017 13.529 0.000 0.243 0.121
p_s ~
dummy_sex -0.028 0.018 -1.588 0.112 -0.049 -0.025
p_q ~
dummy_sex -0.008 0.006 -1.436 0.151 -0.050 -0.025
p_i ~
a_i 0.688 0.014 50.926 0.000 0.563 0.563
p_s ~
a_i -0.001 0.015 -0.093 0.926 -0.002 -0.002
a_s 1.427 0.085 16.780 0.000 0.618 0.618
p_q ~
a_i -0.012 0.005 -2.631 0.009 -0.058 -0.058
a_s -0.349 0.025 -14.012 0.000 -0.520 -0.520
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.187 0.005 37.401 0.000 0.187 0.565
.asr_nxdp_cmp_4 0.171 0.005 33.217 0.000 0.171 0.506
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.209 0.006 37.772 0.000 0.209 0.590
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.227 0.006 36.983 0.000 0.227 0.470
.asr_wthdp_cm_4 0.206 0.006 33.022 0.000 0.206 0.435
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.225 0.006 35.385 0.000 0.225 0.477
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.281 0.007 41.280 0.000 0.281 0.500
.asr_soma_cmp_4 0.245 0.007 35.405 0.000 0.245 0.438
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.289 0.007 39.571 0.000 0.289 0.511
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.192 0.005 35.270 0.000 0.192 0.436
.asr_thprb_cm_4 0.159 0.005 29.188 0.000 0.159 0.375
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.167 0.005 31.651 0.000 0.167 0.421
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.259 0.005 48.812 0.000 0.259 0.647
.asr_ttprb_cm_4 0.253 0.006 45.205 0.000 0.253 0.604
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.273 0.006 47.848 0.000 0.273 0.670
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.297 0.007 40.797 0.000 0.297 0.478
.asr_rlbrk_cm_4 0.254 0.007 35.212 0.000 0.254 0.424
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.276 0.007 38.039 0.000 0.276 0.480
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.236 0.006 42.233 0.000 0.236 0.544
.asr_ggrss_cm_4 0.212 0.006 38.188 0.000 0.212 0.502
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.239 0.006 41.576 0.000 0.239 0.574
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.495 0.010 51.755 0.000 0.495 0.576
.asr_intr_cmp_4 0.464 0.010 47.815 0.000 0.464 0.545
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.473 0.010 49.501 0.000 0.473 0.582
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.021 0.005 4.247 0.000 0.021 0.054
.asr_soma_cmp_0 0.032 0.005 6.261 0.000 0.032 0.077
.asr_wthdp_cm_2 0.021 0.005 4.347 0.000 0.021 0.055
.asr_soma_cmp_2 0.038 0.005 7.360 0.000 0.038 0.090
.asr_wthdp_cm_4 0.020 0.005 3.847 0.000 0.020 0.051
.asr_soma_cmp_4 0.036 0.005 6.661 0.000 0.036 0.086
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 0.012 0.005 2.315 0.021 0.012 0.028
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.031 0.005 5.886 0.000 0.031 0.070
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.039 0.005 7.290 0.000 0.039 0.094
.asr_soma_cmp_2 0.053 0.006 9.447 0.000 0.053 0.118
.asr_wthdp_cm_4 0.026 0.005 4.862 0.000 0.026 0.064
.asr_soma_cmp_4 0.034 0.006 5.977 0.000 0.034 0.076
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 0.004 0.005 0.691 0.489 0.004 0.009
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.030 0.006 5.348 0.000 0.030 0.066
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.019 0.005 3.572 0.000 0.019 0.046
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.049 0.006 8.574 0.000 0.049 0.109
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.045 0.006 8.035 0.000 0.045 0.110
.asr_soma_cmp_4 0.066 0.006 10.892 0.000 0.066 0.145
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.029 0.006 -5.054 0.000 -0.029 -0.056
.asr_soma_cmp_2 -0.017 0.006 -2.874 0.004 -0.017 -0.032
.asr_soma_cmp_4 -0.032 0.006 -5.228 0.000 -0.032 -0.062
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.011 0.006 -1.966 0.049 -0.011 -0.022
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.012 0.006 -2.029 0.042 -0.012 -0.023
.asr_soma_cmp_4 -0.020 0.006 -3.188 0.001 -0.020 -0.038
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.014 0.006 -2.358 0.018 -0.014 -0.028
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.017 0.006 -2.798 0.005 -0.017 -0.034
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.018 0.006 -2.889 0.004 -0.018 -0.035
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.129 0.007 19.233 0.000 0.129 0.205
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.064 0.006 10.804 0.000 0.064 0.119
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.082 0.006 12.751 0.000 0.082 0.137
.asr_rlbrk_cm_2 0.017 0.006 2.955 0.003 0.017 0.033
.asr_intr_cmp_4 0.090 0.007 13.577 0.000 0.090 0.152
.asr_rlbrk_cm_4 0.024 0.006 4.217 0.000 0.024 0.049
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.091 0.007 13.723 0.000 0.091 0.146
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.043 0.006 7.298 0.000 0.043 0.081
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.133 0.007 20.298 0.000 0.133 0.225
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.037 0.006 6.364 0.000 0.037 0.073
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.104 0.007 15.517 0.000 0.104 0.177
.asr_rlbrk_cm_4 0.035 0.006 5.940 0.000 0.035 0.071
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.093 0.007 13.730 0.000 0.093 0.154
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.049 0.006 8.098 0.000 0.049 0.094
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.099 0.007 15.028 0.000 0.099 0.172
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.038 0.006 6.482 0.000 0.038 0.078
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.134 0.007 19.668 0.000 0.134 0.233
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.055 0.006 9.374 0.000 0.055 0.116
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.117 0.008 15.179 0.000 0.117 0.153
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.065 0.007 8.714 0.000 0.065 0.089
.asr_rlbrk_cm_4 0.070 0.008 9.180 0.000 0.070 0.099
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.069 0.008 9.241 0.000 0.069 0.095
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.109 0.007 14.808 0.000 0.109 0.155
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.068 0.007 9.217 0.000 0.068 0.101
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.083 0.008 10.666 0.000 0.083 0.114
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.075 0.008 9.888 0.000 0.075 0.109
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.106 0.007 14.201 0.000 0.106 0.160
.a_i ~~
.a_s -0.075 0.005 -16.225 0.000 -0.398 -0.398
.p_i ~~
.p_s -0.099 0.011 -9.383 0.000 -0.290 -0.290
.p_q 0.008 0.003 2.450 0.014 0.072 0.072
.p_s ~~
.p_q -0.054 0.005 -11.733 0.000 -0.854 -0.854
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) -0.006 0.004 -1.475 0.140 -0.006 -0.006
.asr___0 (t_AW) 0.002 0.005 0.339 0.735 0.002 0.002
.asr___0 (t_AS) -0.003 0.005 -0.463 0.643 -0.003 -0.002
.asr___0 (t_AP) -0.000 0.005 -0.060 0.952 -0.000 -0.000
.asr___0 (t_AH) -0.001 0.005 -0.173 0.863 -0.001 -0.001
.asr___0 (t_AA) 0.006 0.005 1.072 0.284 0.006 0.006
.asr___0 (t_AR) 0.000 0.005 0.103 0.918 0.000 0.000
.asr___0 (t_AG) -0.001 0.007 -0.127 0.899 -0.001 -0.001
.asr___2 (t_AX) -0.006 0.004 -1.475 0.140 -0.006 -0.006
.asr___2 (t_AW) 0.002 0.005 0.339 0.735 0.002 0.002
.asr___2 (t_AS) -0.003 0.005 -0.463 0.643 -0.003 -0.003
.asr___2 (t_AP) -0.000 0.005 -0.060 0.952 -0.000 -0.000
.asr___2 (t_AH) -0.001 0.005 -0.173 0.863 -0.001 -0.001
.asr___2 (t_AA) 0.006 0.005 1.072 0.284 0.006 0.006
.asr___2 (t_AR) 0.000 0.005 0.103 0.918 0.000 0.000
.asr___2 (t_AG) -0.001 0.007 -0.127 0.899 -0.001 -0.001
.asr___4 (t_AX) -0.006 0.004 -1.475 0.140 -0.006 -0.006
.asr___4 (t_AW) 0.002 0.005 0.339 0.735 0.002 0.002
.asr___4 (t_AS) -0.003 0.005 -0.463 0.643 -0.003 -0.003
.asr___4 (t_AP) -0.000 0.005 -0.060 0.952 -0.000 -0.000
.asr___4 (t_AH) -0.001 0.005 -0.173 0.863 -0.001 -0.001
.asr___4 (t_AA) 0.006 0.005 1.072 0.284 0.006 0.006
.asr___4 (t_AR) 0.000 0.005 0.103 0.918 0.000 0.000
.asr___4 (t_AG) -0.001 0.007 -0.127 0.899 -0.001 -0.001
.a_i 0.010 0.011 0.911 0.362 0.013 0.013
.a_s -0.016 0.005 -3.053 0.002 -0.065 -0.065
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.p_i -0.048 0.012 -4.080 0.000 -0.051 -0.051
.p_s -0.008 0.013 -0.613 0.540 -0.014 -0.014
.p_q -0.005 0.004 -1.131 0.258 -0.028 -0.028
.Ext_c_0 0.000 0.000 0.000
.Ext_c_1 0.000 0.000 0.000
.Ext_c_2 0.000 0.000 0.000
.Ext_c_3 0.000 0.000 0.000
.Ext_c_4 0.000 0.000 0.000
.Ext_c_5 0.000 0.000 0.000
.Ext_c_6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.109 0.007 16.006 0.000 0.155 0.155
.a_eta2 0.180 0.005 37.671 0.000 0.262 0.262
.a_eta4 0.098 0.008 13.016 0.000 0.155 0.155
.asr_nxdp_cmp_0 0.317 0.006 53.310 0.000 0.317 0.310
.asr_wthdp_cm_0 0.485 0.008 62.807 0.000 0.485 0.462
.asr_soma_cmp_0 0.558 0.008 66.538 0.000 0.558 0.555
.asr_thprb_cm_0 0.471 0.007 65.011 0.000 0.471 0.434
.asr_ttprb_cm_0 0.413 0.006 64.411 0.000 0.413 0.415
.asr_rlbrk_cm_0 0.651 0.009 69.306 0.000 0.651 0.598
.asr_ggrss_cm_0 0.439 0.007 63.469 0.000 0.439 0.418
.asr_intr_cmp_0 0.898 0.012 74.822 0.000 0.898 0.841
.asr_nxdp_cmp_2 0.347 0.006 53.595 0.000 0.347 0.336
.asr_wthdp_cm_2 0.481 0.008 60.954 0.000 0.481 0.467
.asr_soma_cmp_2 0.567 0.009 64.690 0.000 0.567 0.566
.asr_thprb_cm_2 0.411 0.007 61.530 0.000 0.411 0.408
.asr_ttprb_cm_2 0.388 0.006 61.255 0.000 0.388 0.407
.asr_rlbrk_cm_2 0.595 0.009 66.255 0.000 0.595 0.583
.asr_ggrss_cm_2 0.427 0.007 61.378 0.000 0.427 0.418
.asr_intr_cmp_2 0.821 0.011 71.973 0.000 0.821 0.833
.asr_nxdp_cmp_4 0.361 0.007 50.974 0.000 0.361 0.363
.asr_wthdp_cm_4 0.461 0.008 57.088 0.000 0.461 0.476
.asr_soma_cmp_4 0.562 0.009 60.460 0.000 0.562 0.583
.asr_thprb_cm_4 0.383 0.007 56.943 0.000 0.383 0.410
.asr_ttprb_cm_4 0.426 0.007 58.551 0.000 0.426 0.450
.asr_rlbrk_cm_4 0.553 0.009 61.465 0.000 0.553 0.584
.asr_ggrss_cm_4 0.407 0.007 57.269 0.000 0.407 0.426
.asr_intr_cmp_4 0.805 0.012 67.680 0.000 0.805 0.841
.a_i 0.596 0.013 47.600 0.000 1.000 1.000
.a_s 0.060 0.003 17.537 0.000 0.999 0.999
.p_i 0.591 0.012 49.318 0.000 0.665 0.665
.p_s 0.198 0.015 12.869 0.000 0.616 0.616
.p_q 0.020 0.002 13.594 0.000 0.751 0.751
.Ext_comp_0 0.207 0.007 28.666 0.000 0.207 0.189
.Ext_comp_1 0.277 0.005 57.115 0.000 0.277 0.261
.Ext_comp_2 0.277 0.005 57.091 0.000 0.277 0.267
.Ext_comp_3 0.273 0.005 53.972 0.000 0.273 0.266
.Ext_comp_4 0.249 0.005 52.063 0.000 0.249 0.252
.Ext_comp_5 0.260 0.006 47.038 0.000 0.260 0.260
.Ext_comp_6 0.100 0.008 12.205 0.000 0.100 0.110
R-Square:
Estimate
a_etaB 0.845
a_eta2 0.738
a_eta4 0.845
asr_nxdp_cmp_0 0.690
asr_wthdp_cm_0 0.538
asr_soma_cmp_0 0.445
asr_thprb_cm_0 0.566
asr_ttprb_cm_0 0.585
asr_rlbrk_cm_0 0.402
asr_ggrss_cm_0 0.582
asr_intr_cmp_0 0.159
asr_nxdp_cmp_2 0.664
asr_wthdp_cm_2 0.533
asr_soma_cmp_2 0.434
asr_thprb_cm_2 0.592
asr_ttprb_cm_2 0.593
asr_rlbrk_cm_2 0.417
asr_ggrss_cm_2 0.582
asr_intr_cmp_2 0.167
asr_nxdp_cmp_4 0.637
asr_wthdp_cm_4 0.524
asr_soma_cmp_4 0.417
asr_thprb_cm_4 0.590
asr_ttprb_cm_4 0.550
asr_rlbrk_cm_4 0.416
asr_ggrss_cm_4 0.574
asr_intr_cmp_4 0.159
a_i 0.000
a_s 0.001
p_i 0.335
p_s 0.384
p_q 0.249
Ext_comp_0 0.811
Ext_comp_1 0.739
Ext_comp_2 0.733
Ext_comp_3 0.734
Ext_comp_4 0.748
Ext_comp_5 0.740
Ext_comp_6 0.890
Internalizing Symptoms
Int ~ g model with sex
Children’s Internalizing symptoms (Int) was regressed on children’s cognitive functioning (g), with sex as a covariate.
Int.pg6.sex.model <- "#
# second-order g factor
#factor loadings # S & S2
g_etaB =~ 1*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ 1*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ 1*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ 1*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances
g_etaB~~NA*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1
#latent basis model
g_i =~ 1*g_etaB + 1*g_eta2 + 1*g_eta4 + 1*g_eta6
g_s =~ 0*g_etaB + 1*g_eta2 + 2*g_eta4 + 3*g_eta6
g_i~~NA*g_i
g_s~~NA*g_s
g_i~~g_s
g_i~1 + dummy_sex
g_s~1 + dummy_sex
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
# Internalizing model
p_i =~ 1*Int_comp_0 + 1*Int_comp_1 + 1*Int_comp_2 + 1*Int_comp_3 + 1*Int_comp_4 + 1*Int_comp_5 + 1*Int_comp_6
p_s =~ 0*Int_comp_0 + .5*Int_comp_1 + 1*Int_comp_2 + 1.5*Int_comp_3 + 2*Int_comp_4 + 2.5*Int_comp_5 + 3*Int_comp_6
p_q =~ 0*Int_comp_0 + .25*Int_comp_1 + 1*Int_comp_2 + 2.25*Int_comp_3 + 4*Int_comp_4 + 6.25*Int_comp_5 + 9*Int_comp_6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1 + dummy_sex
p_s~1 + dummy_sex
p_q~1 + dummy_sex
Int_comp_0 ~~ NA*Int_comp_0
Int_comp_1 ~~ NA*Int_comp_1
Int_comp_2 ~~ NA*Int_comp_2
Int_comp_3 ~~ NA*Int_comp_3
Int_comp_4 ~~ NA*Int_comp_4
Int_comp_5 ~~ NA*Int_comp_5
Int_comp_6 ~~ NA*Int_comp_6
Int_comp_0 ~ 0*1
Int_comp_1 ~ 0*1
Int_comp_2 ~ 0*1
Int_comp_3 ~ 0*1
Int_comp_4 ~ 0*1
Int_comp_5 ~ 0*1
Int_comp_6 ~ 0*1
# regression
p_i ~ g_i
p_s ~ g_i + g_s
p_q ~ g_i + g_s"
lavaan(Int.pg6.sex.model,
data = readRDS("pga6_all_data_sex.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = T,
std.lv = T
) %>%
saveRDS("pgcm_Int_pg6_sex_model.rds")result
readRDS("pgcm_Int_pg6_sex_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
fm.args = list(robust = F),
rsq = T
) %>%
saveRDS("pgcm_Int_pg6_sex_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_Int_pg6_sex_model.rds"), "cor.lv"))$value[1] 4.78030619 1.92577964 0.94161872 0.92283519 0.15852881 0.11409023 0.08035634
[8] 0.05989009 0.01659480
readRDS("pgcm_Int_pg6_sex_result.rds")lavaan 0.6-19 ended normally after 133 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 137
Number of equality constraints 27
Number of observations 11867
Number of missing patterns 674
Model Test User Model:
Test statistic 6968.321
Degrees of freedom 322
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 121338.757
Degrees of freedom 378
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.945
Tucker-Lewis Index (TLI) 0.935
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -256014.271
Loglikelihood unrestricted model (H1) -252530.110
Akaike (AIC) 512248.542
Bayesian (BIC) 513060.509
Sample-size adjusted Bayesian (SABIC) 512710.941
Root Mean Square Error of Approximation:
RMSEA 0.042
90 Percent confidence interval - lower 0.041
90 Percent confidence interval - upper 0.043
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.066
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_etaB =~
flnkr_0 1.000 0.403 0.438
pttrn_0 (lm_R) 1.220 0.011 112.490 0.000 0.492 0.647
pictr_0 (lm_M) 0.599 0.009 64.699 0.000 0.241 0.286
pcvcb_0 (lm_P) 0.930 0.009 107.670 0.000 0.375 0.447
redng_0 (lm_V) 0.982 0.009 111.357 0.000 0.395 0.462
g_eta2 =~
flnkr_2 1.000 0.412 0.516
pttrn_2 (lm_R) 1.220 0.011 112.490 0.000 0.502 0.654
pictr_2 (lm_M) 0.599 0.009 64.699 0.000 0.246 0.276
pcvcb_2 (lm_P) 0.930 0.009 107.670 0.000 0.383 0.437
redng_2 (lm_V) 0.982 0.009 111.357 0.000 0.404 0.478
g_eta4 =~
flnkr_4 1.000 0.441 0.556
pttrn_4 (lm_R) 1.220 0.011 112.490 0.000 0.539 0.656
pictr_4 (lm_M) 0.599 0.009 64.699 0.000 0.264 0.249
pcvcb_4 (lm_P) 0.930 0.009 107.670 0.000 0.410 0.444
redng_4 (lm_V) 0.982 0.009 111.357 0.000 0.433 0.469
g_eta6 =~
flnkr_6 1.000 0.494 0.608
pttrn_6 (lm_R) 1.220 0.011 112.490 0.000 0.603 0.706
pictr_6 (lm_M) 0.599 0.009 64.699 0.000 0.296 0.279
pcvcb_6 (lm_P) 0.930 0.009 107.670 0.000 0.460 0.492
redng_6 (lm_V) 0.982 0.009 111.357 0.000 0.485 0.500
g_i =~
g_etaB 1.000 0.961 0.961
g_eta2 1.000 0.941 0.941
g_eta4 1.000 0.877 0.877
g_eta6 1.000 0.784 0.784
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.124 0.124
g_eta4 2.000 0.232 0.232
g_eta6 3.000 0.311 0.311
p_i =~
Int_c_0 1.000 0.800 0.880
Int_c_1 1.000 0.800 0.853
Int_c_2 1.000 0.800 0.824
Int_c_3 1.000 0.800 0.791
Int_c_4 1.000 0.800 0.755
Int_c_5 1.000 0.800 0.719
Int_c_6 1.000 0.800 0.701
p_s =~
Int_c_0 0.000 0.000 0.000
Int_c_1 0.500 0.309 0.330
Int_c_2 1.000 0.619 0.637
Int_c_3 1.500 0.928 0.917
Int_c_4 2.000 1.238 1.167
Int_c_5 2.500 1.547 1.389
Int_c_6 3.000 1.856 1.627
p_q =~
Int_c_0 0.000 0.000 0.000
Int_c_1 0.250 0.046 0.049
Int_c_2 1.000 0.185 0.190
Int_c_3 2.250 0.415 0.410
Int_c_4 4.000 0.738 0.696
Int_c_5 6.250 1.153 1.036
Int_c_6 9.000 1.661 1.455
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
g_i ~
dummy_sex -0.041 0.009 -4.414 0.000 -0.105 -0.053
g_s ~
dummy_sex 0.004 0.003 1.138 0.255 0.077 0.038
p_i ~
dummy_sex 0.027 0.016 1.632 0.103 0.034 0.017
p_s ~
dummy_sex -0.119 0.019 -6.374 0.000 -0.193 -0.096
p_q ~
dummy_sex -0.008 0.006 -1.167 0.243 -0.041 -0.020
p_i ~
g_i -0.151 0.026 -5.810 0.000 -0.073 -0.073
p_s ~
g_i 0.177 0.041 4.367 0.000 0.111 0.111
g_s -0.288 0.632 -0.456 0.648 -0.024 -0.024
p_q ~
g_i -0.054 0.014 -3.750 0.000 -0.113 -0.113
g_s 0.221 0.225 0.985 0.325 0.061 0.061
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.flanker_0 ~~
.flanker_2 0.139 0.007 18.883 0.000 0.139 0.246
.flanker_4 0.100 0.008 13.241 0.000 0.100 0.182
.flanker_6 0.088 0.009 9.441 0.000 0.088 0.164
.flanker_2 ~~
.flanker_4 0.146 0.007 20.010 0.000 0.146 0.323
.flanker_6 0.103 0.008 12.688 0.000 0.103 0.233
.flanker_4 ~~
.flanker_6 0.153 0.009 16.930 0.000 0.153 0.360
.pattern_0 ~~
.pattern_2 0.072 0.005 13.159 0.000 0.072 0.213
.pattern_4 0.038 0.006 6.486 0.000 0.038 0.107
.pattern_6 0.031 0.007 4.418 0.000 0.031 0.090
.pattern_2 ~~
.pattern_4 0.103 0.007 15.037 0.000 0.103 0.286
.pattern_6 0.072 0.008 9.607 0.000 0.072 0.206
.pattern_4 ~~
.pattern_6 0.125 0.009 13.991 0.000 0.125 0.333
.picture_0 ~~
.picture_2 0.253 0.007 33.968 0.000 0.253 0.365
.picture_4 0.259 0.009 28.215 0.000 0.259 0.312
.picture_6 0.283 0.012 23.677 0.000 0.283 0.344
.picture_2 ~~
.picture_4 0.288 0.010 28.223 0.000 0.288 0.327
.picture_6 0.269 0.013 20.019 0.000 0.269 0.308
.picture_4 ~~
.picture_6 0.392 0.016 24.828 0.000 0.392 0.375
.picvocab_0 ~~
.picvocab_2 0.400 0.008 53.284 0.000 0.400 0.678
.picvocab_4 0.403 0.008 50.746 0.000 0.403 0.649
.picvocab_6 0.383 0.009 43.343 0.000 0.383 0.627
.picvocab_2 ~~
.picvocab_4 0.475 0.009 54.121 0.000 0.475 0.728
.picvocab_6 0.462 0.010 47.522 0.000 0.462 0.721
.picvocab_4 ~~
.picvocab_6 0.511 0.011 48.424 0.000 0.511 0.757
.reading_0 ~~
.reading_2 0.407 0.007 55.051 0.000 0.407 0.723
.reading_4 0.410 0.008 50.889 0.000 0.410 0.663
.reading_6 0.419 0.010 43.687 0.000 0.419 0.658
.reading_2 ~~
.reading_4 0.419 0.008 51.388 0.000 0.419 0.694
.reading_6 0.436 0.010 45.383 0.000 0.436 0.700
.reading_4 ~~
.reading_6 0.459 0.011 43.000 0.000 0.459 0.670
.picvocab_0 ~~
.reading_0 0.235 0.007 36.115 0.000 0.235 0.414
.reading_2 0.249 0.007 37.800 0.000 0.249 0.447
.reading_4 0.267 0.007 36.341 0.000 0.267 0.436
.reading_6 0.285 0.009 32.264 0.000 0.285 0.453
.picvocab_2 ~~
.reading_2 0.291 0.007 40.601 0.000 0.291 0.500
.reading_0 ~~
.picvocab_2 0.270 0.007 38.478 0.000 0.270 0.452
.picvocab_2 ~~
.reading_4 0.316 0.008 39.659 0.000 0.316 0.493
.reading_6 0.342 0.010 35.580 0.000 0.342 0.517
.picvocab_4 ~~
.reading_4 0.340 0.009 39.021 0.000 0.340 0.503
.reading_0 ~~
.picvocab_4 0.278 0.008 36.920 0.000 0.278 0.442
.reading_2 ~~
.picvocab_4 0.303 0.008 39.535 0.000 0.303 0.493
.picvocab_4 ~~
.reading_6 0.370 0.010 35.722 0.000 0.370 0.531
.picvocab_6 ~~
.reading_6 0.364 0.011 32.352 0.000 0.364 0.532
.reading_0 ~~
.picvocab_6 0.259 0.009 30.058 0.000 0.259 0.419
.reading_2 ~~
.picvocab_6 0.287 0.009 33.201 0.000 0.287 0.476
.reading_4 ~~
.picvocab_6 0.326 0.010 33.491 0.000 0.326 0.491
.g_i ~~
.g_s 0.004 0.001 3.593 0.000 0.218 0.218
.p_i ~~
.p_s -0.115 0.011 -10.072 0.000 -0.236 -0.236
.p_q 0.019 0.004 5.191 0.000 0.127 0.127
.p_s ~~
.p_q -0.099 0.005 -19.165 0.000 -0.884 -0.884
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.flnkr_0 (ta_S) 0.096 0.006 16.784 0.000 0.096 0.104
.flnkr_2 (ta_S) 0.096 0.006 16.784 0.000 0.096 0.120
.flnkr_4 (ta_S) 0.096 0.006 16.784 0.000 0.096 0.121
.flnkr_6 (ta_S) 0.096 0.006 16.784 0.000 0.096 0.118
.pttrn_0 (ta_R) 0.112 0.006 19.366 0.000 0.112 0.147
.pttrn_2 (ta_R) 0.112 0.006 19.366 0.000 0.112 0.146
.pttrn_4 (ta_R) 0.112 0.006 19.366 0.000 0.112 0.136
.pttrn_6 (ta_R) 0.112 0.006 19.366 0.000 0.112 0.131
.pictr_0 (ta_M) 0.050 0.007 7.551 0.000 0.050 0.059
.pictr_2 (ta_M) 0.050 0.007 7.551 0.000 0.050 0.056
.pictr_4 (ta_M) 0.050 0.007 7.551 0.000 0.050 0.047
.pictr_6 (ta_M) 0.050 0.007 7.551 0.000 0.050 0.047
.pcvcb_0 (ta_P) 0.044 0.006 7.504 0.000 0.044 0.053
.pcvcb_2 (ta_P) 0.044 0.006 7.504 0.000 0.044 0.051
.pcvcb_4 (ta_P) 0.044 0.006 7.504 0.000 0.044 0.048
.pcvcb_6 (ta_P) 0.044 0.006 7.504 0.000 0.044 0.048
.redng_0 (ta_V) 0.055 0.006 9.382 0.000 0.055 0.064
.redng_2 (ta_V) 0.055 0.006 9.382 0.000 0.055 0.065
.redng_4 (ta_V) 0.055 0.006 9.382 0.000 0.055 0.059
.redng_6 (ta_V) 0.055 0.006 9.382 0.000 0.055 0.057
.g_i -0.628 0.008 -74.495 0.000 -1.621 -1.621
.g_s 0.470 0.004 115.319 0.000 9.174 9.174
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
.p_i -0.158 0.020 -7.821 0.000 -0.197 -0.197
.p_s 0.347 0.315 1.101 0.271 0.560 0.560
.p_q -0.132 0.112 -1.181 0.237 -0.717 -0.717
.Int_c_0 0.000 0.000 0.000
.Int_c_1 0.000 0.000 0.000
.Int_c_2 0.000 0.000 0.000
.Int_c_3 0.000 0.000 0.000
.Int_c_4 0.000 0.000 0.000
.Int_c_5 0.000 0.000 0.000
.Int_c_6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.g_etaB 0.012 0.002 5.407 0.000 0.076 0.076
.g_eta2 0.008 0.002 5.200 0.000 0.048 0.048
.g_eta4 0.017 0.002 8.218 0.000 0.088 0.088
.g_eta6 0.045 0.004 11.375 0.000 0.184 0.184
.flanker_0 0.686 0.010 68.071 0.000 0.686 0.809
.flanker_2 0.467 0.009 54.458 0.000 0.467 0.734
.flanker_4 0.436 0.009 49.489 0.000 0.436 0.691
.flanker_6 0.417 0.011 38.713 0.000 0.417 0.631
.pattern_0 0.336 0.006 52.247 0.000 0.336 0.582
.pattern_2 0.338 0.008 44.940 0.000 0.338 0.572
.pattern_4 0.385 0.009 42.624 0.000 0.385 0.570
.pattern_6 0.366 0.011 32.832 0.000 0.366 0.501
.picture_0 0.653 0.009 73.390 0.000 0.653 0.918
.picture_2 0.734 0.011 69.178 0.000 0.734 0.924
.picture_4 1.056 0.016 66.201 0.000 1.056 0.938
.picture_6 1.035 0.022 47.853 0.000 1.035 0.922
.picvocab_0 0.562 0.008 68.950 0.000 0.562 0.800
.picvocab_2 0.619 0.009 66.224 0.000 0.619 0.809
.picvocab_4 0.688 0.011 63.054 0.000 0.688 0.803
.picvocab_6 0.662 0.013 49.277 0.000 0.662 0.758
.reading_0 0.576 0.008 68.347 0.000 0.576 0.786
.reading_2 0.550 0.008 64.927 0.000 0.550 0.771
.reading_4 0.665 0.011 62.027 0.000 0.665 0.780
.reading_6 0.705 0.015 47.920 0.000 0.705 0.750
.g_i 0.150 0.004 35.914 0.000 0.997 0.997
.g_s 0.003 0.001 4.076 0.000 0.999 0.999
.p_i 0.637 0.012 53.762 0.000 0.994 0.994
.p_s 0.374 0.016 23.103 0.000 0.978 0.978
.p_q 0.034 0.002 18.882 0.000 0.986 0.986
.Int_comp_0 0.187 0.007 25.224 0.000 0.187 0.226
.Int_comp_1 0.276 0.005 56.720 0.000 0.276 0.314
.Int_comp_2 0.287 0.005 55.988 0.000 0.287 0.305
.Int_comp_3 0.298 0.006 52.814 0.000 0.298 0.291
.Int_comp_4 0.335 0.006 52.366 0.000 0.335 0.298
.Int_comp_5 0.365 0.008 46.523 0.000 0.365 0.294
.Int_comp_6 0.239 0.013 18.256 0.000 0.239 0.184
R-Square:
Estimate
g_etaB 0.924
g_eta2 0.952
g_eta4 0.912
g_eta6 0.816
flanker_0 0.191
flanker_2 0.266
flanker_4 0.309
flanker_6 0.369
pattern_0 0.418
pattern_2 0.428
pattern_4 0.430
pattern_6 0.499
picture_0 0.082
picture_2 0.076
picture_4 0.062
picture_6 0.078
picvocab_0 0.200
picvocab_2 0.191
picvocab_4 0.197
picvocab_6 0.242
reading_0 0.214
reading_2 0.229
reading_4 0.220
reading_6 0.250
g_i 0.003
g_s 0.001
p_i 0.006
p_s 0.022
p_q 0.014
Int_comp_0 0.774
Int_comp_1 0.686
Int_comp_2 0.695
Int_comp_3 0.709
Int_comp_4 0.702
Int_comp_5 0.706
Int_comp_6 0.816
Int ~ pp model with sex
Children’s Internalizing symptoms (Int) was regressed on parental psychopathology (pp), with sex as a covariate.
Int.pa6.sex.model <- "# second-order pp factor
#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#observed variable intercepts
asr_anxdep_comp_0~tau_AX*1
asr_withdep_comp_0~tau_AW*1
asr_soma_comp_0~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_attprob_comp_0~tau_AH*1
asr_rulebreak_comp_0~tau_AA*1
asr_aggress_comp_0~tau_AR*1
asr_intru_comp_0~tau_AG*1
asr_anxdep_comp_2~tau_AX*1
asr_withdep_comp_2~tau_AW*1
asr_soma_comp_2~tau_AS*1
asr_thouprob_comp_2~tau_AP*1
asr_attprob_comp_2~tau_AH*1
asr_rulebreak_comp_2~tau_AA*1
asr_aggress_comp_2~tau_AR*1
asr_intru_comp_2~tau_AG*1
asr_anxdep_comp_4~tau_AX*1
asr_withdep_comp_4~tau_AW*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_4~tau_AP*1
asr_attprob_comp_4~tau_AH*1
asr_rulebreak_comp_4~tau_AA*1
asr_aggress_comp_4~tau_AR*1
asr_intru_comp_4~tau_AG*1
#latent basis model
a_i =~ 1*a_etaB+1*a_eta2+1*a_eta4
a_s =~ 0*a_etaB+1*a_eta2+2*a_eta4
a_i~~NA*a_i
a_s~~NA*a_s
a_i~~a_s
a_i~1 + dummy_sex
a_s~1 + dummy_sex
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
# Internalizing model
p_i =~ 1*Int_comp_0 + 1*Int_comp_1 + 1*Int_comp_2 + 1*Int_comp_3 + 1*Int_comp_4 + 1*Int_comp_5 + 1*Int_comp_6
p_s =~ 0*Int_comp_0 + .5*Int_comp_1 + 1*Int_comp_2 + 1.5*Int_comp_3 + 2*Int_comp_4 + 2.5*Int_comp_5 + 3*Int_comp_6
p_q =~ 0*Int_comp_0 + .25*Int_comp_1 + 1*Int_comp_2 + 2.25*Int_comp_3 + 4*Int_comp_4 + 6.25*Int_comp_5 + 9*Int_comp_6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1 + dummy_sex
p_s~1 + dummy_sex
p_q~1 + dummy_sex
Int_comp_0 ~~ NA*Int_comp_0
Int_comp_1 ~~ NA*Int_comp_1
Int_comp_2 ~~ NA*Int_comp_2
Int_comp_3 ~~ NA*Int_comp_3
Int_comp_4 ~~ NA*Int_comp_4
Int_comp_5 ~~ NA*Int_comp_5
Int_comp_6 ~~ NA*Int_comp_6
Int_comp_0 ~ 0*1
Int_comp_1 ~ 0*1
Int_comp_2 ~ 0*1
Int_comp_3 ~ 0*1
Int_comp_4 ~ 0*1
Int_comp_5 ~ 0*1
Int_comp_6 ~ 0*1
# regression
p_i ~ a_i
p_s ~ a_i + a_s
p_q ~ a_i + a_s"
lavaan(Int.pa6.sex.model,
data = readRDS("pga6_all_data_sex.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = T,
std.lv = T
) %>%
saveRDS("pgcm_Int_pa6_sex_model.rds")result
readRDS("pgcm_Int_pa6_sex_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_Int_pa6_sex_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_Int_pa6_sex_model.rds"), "cor.lv"))$value[1] 3.88447716 2.44370671 0.67843742 0.50438073 0.22762676 0.12856249 0.09281111
[8] 0.03999760
readRDS("pgcm_Int_pa6_sex_result.rds")lavaan 0.6-19 ended normally after 116 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 181
Number of equality constraints 30
Number of observations 11867
Number of missing patterns 99
Model Test User Model:
Test statistic 7158.071
Degrees of freedom 407
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 235719.239
Degrees of freedom 496
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.971
Tucker-Lewis Index (TLI) 0.965
Robust Comparative Fit Index (CFI) 0.971
Robust Tucker-Lewis Index (TLI) 0.964
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -345328.073
Loglikelihood unrestricted model (H1) -341749.037
Akaike (AIC) 690958.145
Bayesian (BIC) 692072.754
Sample-size adjusted Bayesian (SABIC) 691592.894
Root Mean Square Error of Approximation:
RMSEA 0.037
90 Percent confidence interval - lower 0.037
90 Percent confidence interval - upper 0.038
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.041
90 Percent confidence interval - lower 0.040
90 Percent confidence interval - upper 0.042
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.038
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.851 0.844
asr___0 (l_AW) 0.887 0.007 127.149 0.000 0.755 0.737
asr___0 (l_AS) 0.799 0.007 112.996 0.000 0.680 0.680
asr___0 (l_AC) 0.913 0.007 125.334 0.000 0.778 0.746
asr___0 (l_AH) 0.897 0.007 131.639 0.000 0.764 0.766
asr___0 (l_AA) 0.762 0.008 97.369 0.000 0.649 0.621
asr___0 (l_AR) 0.905 0.007 125.132 0.000 0.770 0.751
asr___0 (l_AG) 0.476 0.008 59.068 0.000 0.405 0.392
a_eta2 =~
asr___2 1.000 0.840 0.828
asr___2 (l_AW) 0.887 0.007 127.149 0.000 0.745 0.734
asr___2 (l_AS) 0.799 0.007 112.996 0.000 0.671 0.671
asr___2 (l_AC) 0.913 0.007 125.334 0.000 0.767 0.764
asr___2 (l_AH) 0.897 0.007 131.639 0.000 0.753 0.772
asr___2 (l_AA) 0.762 0.008 97.369 0.000 0.640 0.633
asr___2 (l_AR) 0.905 0.007 125.132 0.000 0.760 0.751
asr___2 (l_AG) 0.476 0.008 59.068 0.000 0.399 0.402
a_eta4 =~
asr___4 1.000 0.810 0.814
asr___4 (l_AW) 0.887 0.007 127.149 0.000 0.718 0.730
asr___4 (l_AS) 0.799 0.007 112.996 0.000 0.647 0.660
asr___4 (l_AC) 0.913 0.007 125.334 0.000 0.740 0.763
asr___4 (l_AH) 0.897 0.007 131.639 0.000 0.726 0.746
asr___4 (l_AA) 0.762 0.008 97.369 0.000 0.617 0.633
asr___4 (l_AR) 0.905 0.007 125.132 0.000 0.732 0.746
asr___4 (l_AG) 0.476 0.008 59.068 0.000 0.385 0.393
a_i =~
a_etaB 1.000 0.923 0.923
a_eta2 1.000 0.936 0.936
a_eta4 1.000 0.971 0.971
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.300 0.300
a_eta4 2.000 0.621 0.621
p_i =~
Int_c_0 1.000 0.804 0.884
Int_c_1 1.000 0.804 0.852
Int_c_2 1.000 0.804 0.823
Int_c_3 1.000 0.804 0.787
Int_c_4 1.000 0.804 0.759
Int_c_5 1.000 0.804 0.717
Int_c_6 1.000 0.804 0.699
p_s =~
Int_c_0 0.000 0.000 0.000
Int_c_1 0.500 0.309 0.327
Int_c_2 1.000 0.618 0.633
Int_c_3 1.500 0.927 0.908
Int_c_4 2.000 1.236 1.166
Int_c_5 2.500 1.545 1.378
Int_c_6 3.000 1.853 1.612
p_q =~
Int_c_0 0.000 0.000 0.000
Int_c_1 0.250 0.046 0.049
Int_c_2 1.000 0.183 0.188
Int_c_3 2.250 0.413 0.404
Int_c_4 4.000 0.734 0.693
Int_c_5 6.250 1.147 1.023
Int_c_6 9.000 1.651 1.436
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_i ~
dummy_sex 0.031 0.016 1.924 0.054 0.040 0.020
a_s ~
dummy_sex -0.015 0.007 -1.986 0.047 -0.058 -0.029
p_i ~
dummy_sex 0.012 0.014 0.838 0.402 0.015 0.007
p_s ~
dummy_sex -0.107 0.019 -5.722 0.000 -0.174 -0.087
p_q ~
dummy_sex -0.009 0.006 -1.423 0.155 -0.049 -0.025
p_i ~
a_i 0.673 0.011 59.944 0.000 0.659 0.659
p_s ~
a_i 0.087 0.016 5.544 0.000 0.110 0.110
a_s 1.605 0.084 19.161 0.000 0.653 0.653
p_q ~
a_i -0.018 0.005 -3.545 0.000 -0.078 -0.078
a_s -0.360 0.025 -14.429 0.000 -0.493 -0.493
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.166 0.005 34.766 0.000 0.166 0.540
.asr_nxdp_cmp_4 0.151 0.005 30.758 0.000 0.151 0.483
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.185 0.005 35.248 0.000 0.185 0.565
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.223 0.006 36.498 0.000 0.223 0.467
.asr_wthdp_cm_4 0.201 0.006 32.614 0.000 0.201 0.433
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.219 0.006 34.804 0.000 0.219 0.472
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.265 0.007 39.932 0.000 0.265 0.488
.asr_soma_cmp_4 0.230 0.007 34.094 0.000 0.230 0.425
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.272 0.007 38.263 0.000 0.272 0.498
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.199 0.005 36.250 0.000 0.199 0.444
.asr_thprb_cm_4 0.167 0.006 30.314 0.000 0.167 0.385
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.175 0.005 32.870 0.000 0.175 0.432
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.255 0.005 48.781 0.000 0.255 0.644
.asr_ttprb_cm_4 0.248 0.006 45.081 0.000 0.248 0.599
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.267 0.006 47.830 0.000 0.267 0.666
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.313 0.007 42.059 0.000 0.313 0.488
.asr_rlbrk_cm_4 0.269 0.007 36.524 0.000 0.269 0.434
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.292 0.007 39.458 0.000 0.292 0.493
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.252 0.006 44.252 0.000 0.252 0.558
.asr_ggrss_cm_4 0.228 0.006 40.132 0.000 0.228 0.514
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.257 0.006 43.696 0.000 0.257 0.590
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.500 0.010 52.017 0.000 0.500 0.578
.asr_intr_cmp_4 0.469 0.010 48.110 0.000 0.469 0.547
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.479 0.010 49.834 0.000 0.479 0.584
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.007 0.005 1.501 0.133 0.007 0.020
.asr_soma_cmp_0 0.011 0.005 2.208 0.027 0.011 0.028
.asr_wthdp_cm_2 0.010 0.005 2.076 0.038 0.010 0.027
.asr_soma_cmp_2 0.020 0.005 3.896 0.000 0.020 0.049
.asr_wthdp_cm_4 0.008 0.005 1.639 0.101 0.008 0.022
.asr_soma_cmp_4 0.018 0.005 3.504 0.000 0.018 0.046
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 -0.001 0.005 -0.142 0.887 -0.001 -0.002
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.012 0.005 2.459 0.014 0.012 0.030
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.024 0.005 4.729 0.000 0.024 0.062
.asr_soma_cmp_2 0.031 0.005 5.829 0.000 0.031 0.074
.asr_wthdp_cm_4 0.011 0.005 2.133 0.033 0.011 0.029
.asr_soma_cmp_4 0.014 0.005 2.545 0.011 0.014 0.033
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 -0.008 0.005 -1.511 0.131 -0.008 -0.020
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.012 0.005 2.320 0.020 0.012 0.029
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.006 0.005 1.218 0.223 0.006 0.016
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.029 0.006 5.261 0.000 0.029 0.068
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.027 0.005 5.044 0.000 0.027 0.070
.asr_soma_cmp_4 0.042 0.006 7.366 0.000 0.042 0.100
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.043 0.006 -7.495 0.000 -0.043 -0.084
.asr_soma_cmp_2 -0.028 0.006 -4.887 0.000 -0.028 -0.055
.asr_soma_cmp_4 -0.043 0.006 -7.020 0.000 -0.043 -0.084
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.022 0.006 -3.842 0.000 -0.022 -0.043
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.025 0.006 -4.211 0.000 -0.025 -0.048
.asr_soma_cmp_4 -0.031 0.006 -5.037 0.000 -0.031 -0.060
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.024 0.006 -4.122 0.000 -0.024 -0.049
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.030 0.006 -4.963 0.000 -0.030 -0.060
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.032 0.006 -5.314 0.000 -0.032 -0.065
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.140 0.007 20.618 0.000 0.140 0.218
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.084 0.006 13.886 0.000 0.084 0.151
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.091 0.007 13.942 0.000 0.091 0.148
.asr_rlbrk_cm_2 0.033 0.006 5.639 0.000 0.033 0.061
.asr_intr_cmp_4 0.100 0.007 14.780 0.000 0.100 0.163
.asr_rlbrk_cm_4 0.040 0.006 6.753 0.000 0.040 0.077
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.100 0.007 14.950 0.000 0.100 0.158
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.059 0.006 9.856 0.000 0.059 0.108
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.144 0.007 21.595 0.000 0.144 0.237
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.054 0.006 9.277 0.000 0.054 0.104
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.115 0.007 16.880 0.000 0.115 0.191
.asr_rlbrk_cm_4 0.052 0.006 8.726 0.000 0.052 0.103
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.102 0.007 14.875 0.000 0.102 0.165
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.064 0.006 10.454 0.000 0.064 0.120
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.109 0.007 16.284 0.000 0.109 0.184
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.055 0.006 9.155 0.000 0.055 0.108
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.146 0.007 21.181 0.000 0.146 0.248
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.075 0.006 12.444 0.000 0.075 0.151
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.128 0.008 16.409 0.000 0.128 0.164
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.074 0.008 9.801 0.000 0.074 0.099
.asr_rlbrk_cm_4 0.079 0.008 10.229 0.000 0.079 0.109
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.078 0.008 10.279 0.000 0.078 0.105
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.119 0.007 15.981 0.000 0.119 0.167
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.078 0.007 10.386 0.000 0.078 0.113
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.092 0.008 11.693 0.000 0.092 0.124
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.085 0.008 11.080 0.000 0.085 0.121
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.118 0.008 15.578 0.000 0.118 0.174
.a_i ~~
.a_s -0.080 0.005 -17.699 0.000 -0.404 -0.404
.p_i ~~
.p_s -0.067 0.010 -6.641 0.000 -0.230 -0.230
.p_q 0.008 0.003 2.499 0.012 0.081 0.081
.p_s ~~
.p_q -0.067 0.005 -12.603 0.000 -0.857 -0.857
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) 0.002 0.004 0.539 0.590 0.002 0.002
.asr___0 (t_AW) 0.009 0.005 1.858 0.063 0.009 0.009
.asr___0 (t_AS) 0.004 0.005 0.765 0.444 0.004 0.004
.asr___0 (t_AP) 0.007 0.005 1.473 0.141 0.007 0.007
.asr___0 (t_AH) 0.007 0.005 1.379 0.168 0.007 0.007
.asr___0 (t_AA) 0.012 0.006 2.201 0.028 0.012 0.012
.asr___0 (t_AR) 0.008 0.005 1.713 0.087 0.008 0.008
.asr___0 (t_AG) 0.003 0.007 0.462 0.644 0.003 0.003
.asr___2 (t_AX) 0.002 0.004 0.539 0.590 0.002 0.002
.asr___2 (t_AW) 0.009 0.005 1.858 0.063 0.009 0.009
.asr___2 (t_AS) 0.004 0.005 0.765 0.444 0.004 0.004
.asr___2 (t_AP) 0.007 0.005 1.473 0.141 0.007 0.007
.asr___2 (t_AH) 0.007 0.005 1.379 0.168 0.007 0.007
.asr___2 (t_AA) 0.012 0.006 2.201 0.028 0.012 0.012
.asr___2 (t_AR) 0.008 0.005 1.713 0.087 0.008 0.008
.asr___2 (t_AG) 0.003 0.007 0.462 0.644 0.003 0.003
.asr___4 (t_AX) 0.002 0.004 0.539 0.590 0.002 0.002
.asr___4 (t_AW) 0.009 0.005 1.858 0.063 0.009 0.009
.asr___4 (t_AS) 0.004 0.005 0.765 0.444 0.004 0.004
.asr___4 (t_AP) 0.007 0.005 1.473 0.141 0.007 0.007
.asr___4 (t_AH) 0.007 0.005 1.379 0.168 0.007 0.007
.asr___4 (t_AA) 0.012 0.006 2.201 0.028 0.012 0.012
.asr___4 (t_AR) 0.008 0.005 1.713 0.087 0.008 0.008
.asr___4 (t_AG) 0.003 0.007 0.462 0.644 0.003 0.003
.a_i 0.001 0.011 0.080 0.936 0.001 0.001
.a_s -0.015 0.005 -2.889 0.004 -0.061 -0.061
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.p_i -0.063 0.010 -6.322 0.000 -0.079 -0.079
.p_s 0.127 0.014 9.287 0.000 0.206 0.206
.p_q -0.001 0.005 -0.178 0.859 -0.005 -0.005
.Int_c_0 0.000 0.000 0.000
.Int_c_1 0.000 0.000 0.000
.Int_c_2 0.000 0.000 0.000
.Int_c_3 0.000 0.000 0.000
.Int_c_4 0.000 0.000 0.000
.Int_c_5 0.000 0.000 0.000
.Int_c_6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.107 0.006 16.916 0.000 0.148 0.148
.a_eta2 0.184 0.005 39.175 0.000 0.261 0.261
.a_eta4 0.104 0.007 14.222 0.000 0.159 0.159
.asr_nxdp_cmp_0 0.294 0.006 51.213 0.000 0.294 0.288
.asr_wthdp_cm_0 0.479 0.008 62.302 0.000 0.479 0.456
.asr_soma_cmp_0 0.538 0.008 65.694 0.000 0.538 0.538
.asr_thprb_cm_0 0.481 0.007 65.771 0.000 0.481 0.443
.asr_ttprb_cm_0 0.410 0.006 64.492 0.000 0.410 0.413
.asr_rlbrk_cm_0 0.671 0.010 70.151 0.000 0.671 0.614
.asr_ggrss_cm_0 0.459 0.007 65.212 0.000 0.459 0.436
.asr_intr_cmp_0 0.904 0.012 75.006 0.000 0.904 0.846
.asr_nxdp_cmp_2 0.322 0.006 51.800 0.000 0.322 0.314
.asr_wthdp_cm_2 0.475 0.008 60.557 0.000 0.475 0.461
.asr_soma_cmp_2 0.549 0.009 64.026 0.000 0.549 0.550
.asr_thprb_cm_2 0.419 0.007 62.292 0.000 0.419 0.416
.asr_ttprb_cm_2 0.384 0.006 61.448 0.000 0.384 0.403
.asr_rlbrk_cm_2 0.612 0.009 67.052 0.000 0.612 0.599
.asr_ggrss_cm_2 0.445 0.007 62.977 0.000 0.445 0.435
.asr_intr_cmp_2 0.827 0.011 72.172 0.000 0.827 0.838
.asr_nxdp_cmp_4 0.333 0.007 49.254 0.000 0.333 0.337
.asr_wthdp_cm_4 0.452 0.008 56.613 0.000 0.452 0.467
.asr_soma_cmp_4 0.543 0.009 59.866 0.000 0.543 0.565
.asr_thprb_cm_4 0.393 0.007 57.789 0.000 0.393 0.418
.asr_ttprb_cm_4 0.419 0.007 58.851 0.000 0.419 0.443
.asr_rlbrk_cm_4 0.571 0.009 62.342 0.000 0.571 0.600
.asr_ggrss_cm_4 0.428 0.007 58.946 0.000 0.428 0.444
.asr_intr_cmp_4 0.813 0.012 67.938 0.000 0.813 0.846
.a_i 0.617 0.012 49.434 0.000 1.000 1.000
.a_s 0.063 0.003 19.615 0.000 0.999 0.999
.p_i 0.366 0.009 39.469 0.000 0.566 0.566
.p_s 0.232 0.017 13.546 0.000 0.609 0.609
.p_q 0.026 0.002 14.712 0.000 0.782 0.782
.Int_comp_0 0.180 0.007 26.090 0.000 0.180 0.218
.Int_comp_1 0.280 0.005 58.333 0.000 0.280 0.315
.Int_comp_2 0.287 0.005 56.499 0.000 0.287 0.302
.Int_comp_3 0.306 0.006 53.801 0.000 0.306 0.293
.Int_comp_4 0.320 0.006 52.452 0.000 0.320 0.285
.Int_comp_5 0.366 0.008 47.004 0.000 0.366 0.292
.Int_comp_6 0.247 0.013 18.765 0.000 0.247 0.187
R-Square:
Estimate
a_etaB 0.852
a_eta2 0.739
a_eta4 0.841
asr_nxdp_cmp_0 0.712
asr_wthdp_cm_0 0.544
asr_soma_cmp_0 0.462
asr_thprb_cm_0 0.557
asr_ttprb_cm_0 0.587
asr_rlbrk_cm_0 0.386
asr_ggrss_cm_0 0.564
asr_intr_cmp_0 0.154
asr_nxdp_cmp_2 0.686
asr_wthdp_cm_2 0.539
asr_soma_cmp_2 0.450
asr_thprb_cm_2 0.584
asr_ttprb_cm_2 0.597
asr_rlbrk_cm_2 0.401
asr_ggrss_cm_2 0.565
asr_intr_cmp_2 0.162
asr_nxdp_cmp_4 0.663
asr_wthdp_cm_4 0.533
asr_soma_cmp_4 0.435
asr_thprb_cm_4 0.582
asr_ttprb_cm_4 0.557
asr_rlbrk_cm_4 0.400
asr_ggrss_cm_4 0.556
asr_intr_cmp_4 0.154
a_i 0.000
a_s 0.001
p_i 0.434
p_s 0.391
p_q 0.218
Int_comp_0 0.782
Int_comp_1 0.685
Int_comp_2 0.698
Int_comp_3 0.707
Int_comp_4 0.715
Int_comp_5 0.708
Int_comp_6 0.813
Commonality result
General p factor
lapply(
c(
"pgcm_pga6_sex_model.rds",
"pgcm_pg6_sex_model.rds",
"pgcm_pa6_sex_model.rds"
),
function(f) {
inspect(readRDS(f), "r2")[c("p_i", "p_s", "p_q")]
}
) %>%
do.call(rbind, .) %>%
round(4) %>%
data.frame(., row.names = c(
"pc_pp.g", # pc explained by pp and g
"pc_g", # pc explained by g
"pc_pp" # pc explained by pp
)) %>%
t() %>%
data.frame() %>%
mutate(
Unique_g = .[[1]] - .[[3]], # main model (pc ~ pp + g) minus pc ~ pp
Unique_pp = .[[1]] - .[[2]], # main model (pc ~ pp + g) minus pc ~ g
Common = .[[1]] - Unique_g - Unique_pp
) %>%
saveRDS("p_com_result.rds")readRDS("p_com_result.rds") %>%
knitr::kable()| pc_pp.g | pc_g | pc_pp | Unique_g | Unique_pp | Common | |
|---|---|---|---|---|---|---|
| p_i | 0.5139 | 0.0624 | 0.5018 | 0.0121 | 0.4515 | 0.0503 |
| p_s | 0.5803 | 0.0295 | 0.5602 | 0.0201 | 0.5508 | 0.0094 |
| p_q | 0.3859 | 0.0182 | 0.3688 | 0.0171 | 0.3677 | 0.0011 |
Externalizing
lapply(
c(
"pgcm_Ext_pga6_sex_model.rds",
"pgcm_Ext_pg6_sex_model.rds",
"pgcm_Ext_pa6_sex_model.rds"
),
function(f) {
inspect(readRDS(f), "r2")[c("p_i", "p_s", "p_q")]
}
) %>%
do.call(rbind, .) %>%
round(4) %>%
data.frame(., row.names = c(
"Ext_pp.g", # Ext explained by pp and g
"Ext_g", # Ext explained by g
"Ext_pp" # Ext explained by pp
)) %>%
t() %>%
data.frame(., row.names = c(
"Ext_i", # Int explained by pp and g
"Ext_s", # Int explained by g
"Ext_q" # Int explained by pp
)) %>%
mutate(
Unique_g = .[[1]] - .[[3]], # main model (pc ~ pp + g) minus pc ~ pp
Unique_pp = .[[1]] - .[[2]], # main model (pc ~ pp + g) minus pc ~ g
Common = .[[1]] - Unique_g - Unique_pp
) %>%
saveRDS("Ext_com_result.rds")readRDS("Ext_com_result.rds") %>%
knitr::kable()| Ext_pp.g | Ext_g | Ext_pp | Unique_g | Unique_pp | Common | |
|---|---|---|---|---|---|---|
| Ext_i | 0.3462 | 0.0556 | 0.3347 | 0.0115 | 0.2906 | 0.0441 |
| Ext_s | 0.4418 | 0.0545 | 0.3841 | 0.0577 | 0.3873 | -0.0032 |
| Ext_q | 0.2892 | 0.0365 | 0.2494 | 0.0398 | 0.2527 | -0.0033 |
Internalizing
lapply(
c(
"pgcm_Int_pga6_sex_model.rds",
"pgcm_Int_pg6_sex_model.rds",
"pgcm_Int_pa6_sex_model.rds"
),
function(f) {
inspect(readRDS(f), "r2")[c("p_i", "p_s", "p_q")]
}
) %>%
do.call(rbind, .) %>%
round(4) %>%
data.frame(., row.names = c(
"Int_pp.g", # Int explained by pp and g
"Int_g", # Int explained by g
"Int_pp" # Int explained by pp
)) %>%
t() %>%
data.frame(., row.names = c(
"Int_i", # Int explained by pp and g
"Int_s", # Int explained by g
"Int_q" # Int explained by pp
)) %>%
mutate(
Unique_g = .[[1]] - .[[3]], # main model (pc ~ pp + g) minus pc ~ pp
Unique_pp = .[[1]] - .[[2]], # main model (pc ~ pp + g) minus pc ~ g
Common = .[[1]] - Unique_g - Unique_pp
) %>%
saveRDS("Int_com_result.rds")readRDS("Int_com_result.rds") %>%
knitr::kable()| Int_pp.g | Int_g | Int_pp | Unique_g | Unique_pp | Common | |
|---|---|---|---|---|---|---|
| Int_i | 0.4332 | 0.0058 | 0.4339 | -7e-04 | 0.4274 | 0.0065 |
| Int_s | 0.3920 | 0.0223 | 0.3911 | 9e-04 | 0.3697 | 0.0214 |
| Int_q | 0.2244 | 0.0137 | 0.2184 | 6e-03 | 0.2107 | 0.0077 |
Result summary
p, Ext, Int Table
rbind(
readRDS("p_com_result.rds") %>% select(4:6),
readRDS("Ext_com_result.rds") %>% select(4:6),
readRDS("Int_com_result.rds") %>% select(4:6)
) %>%
rownames_to_column() %>%
separate(rowname, into = c("Factor", "Parameter"), sep = "_") %>%
mutate(
Parameter = factor(Parameter,
levels = c("q","s","i"),
labels = c("Quadratic", "Slope", "Intercept")),
Factor = factor(Factor,
levels = c("p","Int","Ext"),
labels = c("General\np factor", "Internalizing", "Externalizing")),
# Treat negative variances explained as zero
Unique_g = ifelse(Unique_g < 0,0,Unique_g*100),
Unique_pp = ifelse(Unique_pp < 0,0,Unique_pp*100),
Common = ifelse(Common < 0,0,Common*100)
) %>%
saveRDS("Commonality_all_table.rds")readRDS("Commonality_all_table.rds") %>%
knitr::kable()| Factor | Parameter | Unique_g | Unique_pp | Common |
|---|---|---|---|---|
| General | ||||
| p factor | Intercept | 1.21 | 45.15 | 5.03 |
| General | ||||
| p factor | Slope | 2.01 | 55.08 | 0.94 |
| General | ||||
| p factor | Quadratic | 1.71 | 36.77 | 0.11 |
| Externalizing | Intercept | 1.15 | 29.06 | 4.41 |
| Externalizing | Slope | 5.77 | 38.73 | 0.00 |
| Externalizing | Quadratic | 3.98 | 25.27 | 0.00 |
| Internalizing | Intercept | 0.00 | 42.74 | 0.65 |
| Internalizing | Slope | 0.09 | 36.97 | 2.14 |
| Internalizing | Quadratic | 0.60 | 21.07 | 0.77 |
p, Ext, Int plot
readRDS("Commonality_all_table.rds") %>%
pivot_longer(cols = c(Unique_pp, Common, Unique_g), names_to = "Component", values_to = "Variance") %>%
mutate(
Component = factor(Component,
levels = c("Unique_g", "Common", "Unique_pp"),
labels = c("Unique_g", "Common", "Unique_pp"))
) %>%
ggplot(aes(x = Variance, y = Parameter, fill = Component)) +
geom_bar(stat = "identity", position = "stack", width = 0.7) +
scale_x_continuous(limits = c(0, 60), breaks = seq(0, 60, 10)) +
facet_wrap(~ Factor, ncol = 1, strip.position = "left") +
scale_fill_manual(
values = c("Unique_g" = "#A9D18E",
"Common" = "#A6A6A6",
"Unique_pp" = "#5B9BD5"),
labels = c("Unique effects of children's cognitive functioning (g factor)",
"Common effects between parental psychopathology and children's cognitive\nfunctioning (p_p & g factors)",
"Unique effects of parental psychopathology (p_p factor)")
) +
labs(x = "Variance explained (%)", y = NULL, title = "Children psychopathology") +
theme_minimal() +
theme(
strip.text.y.left = element_text(angle = 0, hjust = 1, size = 11),
strip.placement = "outside",
legend.position = "bottom",
legend.title = element_blank(),
panel.grid.major.y = element_blank(),
panel.grid.minor = element_blank(),
plot.title = element_text(hjust = 0.5, size = 16, face = "bold")
) +
guides(fill = guide_legend(nrow = 3))
Additional analysis with puberty
Measurement invariance test
Puberty (Parent-report)
Configural invariance model
model fit
pu.config.invar <- "#factor loadings #
pu_etaB =~ lambda_S*ph_p_pds_001_0+
lambda_R*ph_p_pds_002_0+
lambda_M*ph_p_pds_003_0
pu_eta1 =~ lambda_S1*ph_p_pds_001_1+
lambda_R1*ph_p_pds_002_1+
lambda_M1*ph_p_pds_003_1
pu_eta2 =~ lambda_S2*ph_p_pds_001_2+
lambda_R2*ph_p_pds_002_2+
lambda_M2*ph_p_pds_003_2
pu_eta3 =~ lambda_S3*ph_p_pds_001_3+
lambda_R3*ph_p_pds_002_3+
lambda_M3*ph_p_pds_003_3
pu_eta4 =~ lambda_S4*ph_p_pds_001_4+
lambda_R4*ph_p_pds_002_4+
lambda_M4*ph_p_pds_003_4
pu_eta5 =~ lambda_S5*ph_p_pds_001_5+
lambda_R5*ph_p_pds_002_5+
lambda_M5*ph_p_pds_003_5
pu_eta6 =~ lambda_S6*ph_p_pds_001_6+
lambda_R6*ph_p_pds_002_6+
lambda_M6*ph_p_pds_003_6
#latent variable variances #
pu_etaB~~1*pu_etaB
pu_eta1~~1*pu_eta1
pu_eta2~~1*pu_eta2
pu_eta3~~1*pu_eta3
pu_eta4~~1*pu_eta4
pu_eta5~~1*pu_eta5
pu_eta6~~1*pu_eta6
#latent variable covariances
pu_etaB~~pu_eta1 + pu_eta2 + pu_eta3 + pu_eta4 + pu_eta5 + pu_eta6
pu_eta1~~pu_eta2 + pu_eta3 + pu_eta4 + pu_eta5 + pu_eta6
pu_eta2~~pu_eta3 + pu_eta4 + pu_eta5 + pu_eta6
pu_eta3~~pu_eta4 + pu_eta5 + pu_eta6
pu_eta4~~pu_eta5 + pu_eta6
pu_eta5~~pu_eta6
#unique variances
ph_p_pds_001_0~~ph_p_pds_001_0
ph_p_pds_002_0~~ph_p_pds_002_0
ph_p_pds_003_0~~ph_p_pds_003_0
ph_p_pds_001_1~~ph_p_pds_001_1
ph_p_pds_002_1~~ph_p_pds_002_1
ph_p_pds_003_1~~ph_p_pds_003_1
ph_p_pds_001_2~~ph_p_pds_001_2
ph_p_pds_002_2~~ph_p_pds_002_2
ph_p_pds_003_2~~ph_p_pds_003_2
ph_p_pds_001_3~~ph_p_pds_001_3
ph_p_pds_002_3~~ph_p_pds_002_3
ph_p_pds_003_3~~ph_p_pds_003_3
ph_p_pds_001_4~~ph_p_pds_001_4
ph_p_pds_002_4~~ph_p_pds_002_4
ph_p_pds_003_4~~ph_p_pds_003_4
ph_p_pds_001_5~~ph_p_pds_001_5
ph_p_pds_002_5~~ph_p_pds_002_5
ph_p_pds_003_5~~ph_p_pds_003_5
ph_p_pds_001_6~~ph_p_pds_001_6
ph_p_pds_002_6~~ph_p_pds_002_6
ph_p_pds_003_6~~ph_p_pds_003_6
#unique covariances
ph_p_pds_001_0 ~~ ph_p_pds_001_1 + ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_1 ~~ ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_2 ~~ ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_3 ~~ ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_4 ~~ ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_5 ~~ ph_p_pds_001_6
ph_p_pds_002_0 ~~ ph_p_pds_002_1 + ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_1 ~~ ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_2 ~~ ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_3 ~~ ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_4 ~~ ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_5 ~~ ph_p_pds_002_6
ph_p_pds_003_0 ~~ ph_p_pds_003_1 + ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_1 ~~ ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_2 ~~ ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_3 ~~ ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_4 ~~ ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_5 ~~ ph_p_pds_003_6
#latent variable intercepts # 0*1
pu_etaB~0*1
pu_eta1~0*1
pu_eta2~0*1
pu_eta3~0*1
pu_eta4~0*1
pu_eta5~0*1
pu_eta6~0*1
#observed variable intercepts # S & S2
ph_p_pds_001_0~tau_S*1
ph_p_pds_002_0~tau_R*1
ph_p_pds_003_0~tau_M*1
ph_p_pds_001_1~tau_S1*1
ph_p_pds_002_1~tau_R1*1
ph_p_pds_003_1~tau_M1*1
ph_p_pds_001_2~tau_S2*1
ph_p_pds_002_2~tau_R2*1
ph_p_pds_003_2~tau_M2*1
ph_p_pds_001_3~tau_S3*1
ph_p_pds_002_3~tau_R3*1
ph_p_pds_003_3~tau_M3*1
ph_p_pds_001_4~tau_S4*1
ph_p_pds_002_4~tau_R4*1
ph_p_pds_003_4~tau_M4*1
ph_p_pds_001_5~tau_S5*1
ph_p_pds_002_5~tau_R5*1
ph_p_pds_003_5~tau_M5*1
ph_p_pds_001_6~tau_S6*1
ph_p_pds_002_6~tau_R6*1
ph_p_pds_003_6~tau_M6*1"
lavaan(pu.config.invar,
data = pub_yp_mean_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("p_pub_config.rds")result
readRDS("p_pub_config.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("p_pub_config_result.rds")# Check for Haywood case
eigen(inspect(readRDS("p_pub_config.rds"), "cor.lv"))$value[1] 4.7432770 1.1710810 0.3957256 0.2577420 0.1679615 0.1460402 0.1181727
readRDS("p_pub_config_result.rds")lavaan 0.6-19 ended normally after 83 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 147
Used Total
Number of observations 11855 11867
Number of missing patterns 1045
Model Test User Model:
Test statistic 433.417
Degrees of freedom 105
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 95074.177
Degrees of freedom 210
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.997
Tucker-Lewis Index (TLI) 0.993
Robust Comparative Fit Index (CFI) 0.996
Robust Tucker-Lewis Index (TLI) 0.993
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -190817.305
Loglikelihood unrestricted model (H1) -190600.597
Akaike (AIC) 381928.611
Bayesian (BIC) 383013.545
Sample-size adjusted Bayesian (SABIC) 382546.396
Root Mean Square Error of Approximation:
RMSEA 0.016
90 Percent confidence interval - lower 0.015
90 Percent confidence interval - upper 0.018
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.019
90 Percent confidence interval - lower 0.017
90 Percent confidence interval - upper 0.021
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.013
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
pu_etaB =~
p___001 (lm_S) 0.491 0.011 44.096 0.000 0.491 0.445
p___002 (lm_R) 0.621 0.009 69.441 0.000 0.621 0.766
p___003 (lm_M) 0.487 0.008 62.017 0.000 0.487 0.632
pu_eta1 =~
p___001 (l_S1) 0.507 0.010 50.542 0.000 0.507 0.491
p___002 (l_R1) 0.720 0.009 81.568 0.000 0.720 0.818
p___003 (l_M1) 0.577 0.008 68.588 0.000 0.577 0.661
pu_eta2 =~
p___001 (l_S2) 0.525 0.009 59.142 0.000 0.525 0.558
p___002 (l_R2) 0.771 0.008 91.712 0.000 0.771 0.858
p___003 (l_M2) 0.618 0.008 73.418 0.000 0.618 0.683
pu_eta3 =~
p___001 (l_S3) 0.527 0.008 64.359 0.000 0.527 0.617
p___002 (l_R3) 0.738 0.008 95.287 0.000 0.738 0.882
p___003 (l_M3) 0.568 0.008 71.693 0.000 0.568 0.674
pu_eta4 =~
p___001 (l_S4) 0.512 0.008 66.433 0.000 0.512 0.663
p___002 (l_R4) 0.602 0.007 87.977 0.000 0.602 0.860
p___003 (l_M4) 0.449 0.007 63.642 0.000 0.449 0.633
pu_eta5 =~
p___001 (l_S5) 0.518 0.008 67.304 0.000 0.518 0.695
p___002 (l_R5) 0.529 0.006 83.008 0.000 0.529 0.853
p___003 (l_M5) 0.391 0.007 57.671 0.000 0.391 0.607
pu_eta6 =~
p___001 (l_S6) 0.532 0.010 53.522 0.000 0.532 0.719
p___002 (l_R6) 0.472 0.008 61.755 0.000 0.472 0.835
p___003 (l_M6) 0.378 0.009 43.554 0.000 0.378 0.604
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
pu_etaB ~~
pu_eta1 0.803 0.007 113.284 0.000 0.803 0.803
pu_eta2 0.651 0.009 69.782 0.000 0.651 0.651
pu_eta3 0.540 0.011 49.542 0.000 0.540 0.540
pu_eta4 0.438 0.012 35.318 0.000 0.438 0.438
pu_eta5 0.356 0.013 26.424 0.000 0.356 0.356
pu_eta6 0.261 0.017 15.105 0.000 0.261 0.261
pu_eta1 ~~
pu_eta2 0.804 0.006 126.204 0.000 0.804 0.804
pu_eta3 0.681 0.009 79.414 0.000 0.681 0.681
pu_eta4 0.566 0.011 53.632 0.000 0.566 0.566
pu_eta5 0.494 0.012 42.121 0.000 0.494 0.494
pu_eta6 0.407 0.015 26.663 0.000 0.407 0.407
pu_eta2 ~~
pu_eta3 0.837 0.006 150.388 0.000 0.837 0.837
pu_eta4 0.676 0.009 79.334 0.000 0.676 0.676
pu_eta5 0.596 0.010 59.079 0.000 0.596 0.596
pu_eta6 0.516 0.013 38.408 0.000 0.516 0.516
pu_eta3 ~~
pu_eta4 0.771 0.007 112.000 0.000 0.771 0.771
pu_eta5 0.681 0.009 77.629 0.000 0.681 0.681
pu_eta6 0.589 0.012 48.354 0.000 0.589 0.589
pu_eta4 ~~
pu_eta5 0.806 0.007 117.938 0.000 0.806 0.806
pu_eta6 0.699 0.011 62.805 0.000 0.699 0.699
pu_eta5 ~~
pu_eta6 0.818 0.009 92.723 0.000 0.818 0.818
.ph_p_pds_001_0 ~~
.ph_p_pds_001_1 0.405 0.010 39.854 0.000 0.405 0.456
.ph_p_pds_001_2 0.270 0.009 31.380 0.000 0.270 0.351
.ph_p_pds_001_3 0.159 0.007 21.305 0.000 0.159 0.240
.ph_p_pds_001_4 0.059 0.007 8.799 0.000 0.059 0.103
.ph_p_pds_001_5 0.025 0.007 3.808 0.000 0.025 0.047
.ph_p_pds_001_6 0.010 0.008 1.271 0.204 0.010 0.021
.ph_p_pds_001_1 ~~
.ph_p_pds_001_2 0.295 0.008 36.262 0.000 0.295 0.420
.ph_p_pds_001_3 0.171 0.007 24.477 0.000 0.171 0.283
.ph_p_pds_001_4 0.074 0.006 11.897 0.000 0.074 0.142
.ph_p_pds_001_5 0.034 0.006 5.694 0.000 0.034 0.071
.ph_p_pds_001_6 0.010 0.008 1.297 0.195 0.010 0.021
.ph_p_pds_001_2 ~~
.ph_p_pds_001_3 0.203 0.006 31.727 0.000 0.203 0.387
.ph_p_pds_001_4 0.092 0.006 16.755 0.000 0.092 0.205
.ph_p_pds_001_5 0.041 0.005 7.766 0.000 0.041 0.098
.ph_p_pds_001_6 0.024 0.007 3.668 0.000 0.024 0.061
.ph_p_pds_001_3 ~~
.ph_p_pds_001_4 0.113 0.005 22.254 0.000 0.113 0.291
.ph_p_pds_001_5 0.057 0.005 11.884 0.000 0.057 0.158
.ph_p_pds_001_6 0.032 0.006 5.395 0.000 0.032 0.091
.ph_p_pds_001_4 ~~
.ph_p_pds_001_5 0.114 0.005 24.533 0.000 0.114 0.367
.ph_p_pds_001_6 0.062 0.006 11.131 0.000 0.062 0.207
.ph_p_pds_001_5 ~~
.ph_p_pds_001_6 0.101 0.005 18.489 0.000 0.101 0.365
.ph_p_pds_002_0 ~~
.ph_p_pds_002_1 0.081 0.007 12.439 0.000 0.081 0.307
.ph_p_pds_002_2 0.029 0.006 5.261 0.000 0.029 0.121
.ph_p_pds_002_3 0.006 0.005 1.253 0.210 0.006 0.029
.ph_p_pds_002_4 -0.002 0.004 -0.507 0.612 -0.002 -0.011
.ph_p_pds_002_5 -0.006 0.004 -1.588 0.112 -0.006 -0.034
.ph_p_pds_002_6 -0.002 0.004 -0.579 0.563 -0.002 -0.015
.ph_p_pds_002_1 ~~
.ph_p_pds_002_2 0.058 0.006 9.251 0.000 0.058 0.250
.ph_p_pds_002_3 0.024 0.005 4.637 0.000 0.024 0.121
.ph_p_pds_002_4 0.013 0.004 2.960 0.003 0.013 0.069
.ph_p_pds_002_5 0.002 0.004 0.628 0.530 0.002 0.015
.ph_p_pds_002_6 0.006 0.004 1.437 0.151 0.006 0.041
.ph_p_pds_002_2 ~~
.ph_p_pds_002_3 0.038 0.006 6.628 0.000 0.038 0.207
.ph_p_pds_002_4 0.024 0.004 5.434 0.000 0.024 0.143
.ph_p_pds_002_5 0.006 0.004 1.687 0.092 0.006 0.043
.ph_p_pds_002_6 0.010 0.004 2.329 0.020 0.010 0.069
.ph_p_pds_002_3 ~~
.ph_p_pds_002_4 0.028 0.004 6.584 0.000 0.028 0.197
.ph_p_pds_002_5 0.013 0.004 3.714 0.000 0.013 0.104
.ph_p_pds_002_6 0.016 0.004 4.207 0.000 0.016 0.133
.ph_p_pds_002_4 ~~
.ph_p_pds_002_5 0.023 0.003 6.897 0.000 0.023 0.202
.ph_p_pds_002_6 0.019 0.004 5.370 0.000 0.019 0.174
.ph_p_pds_002_5 ~~
.ph_p_pds_002_6 0.022 0.003 6.376 0.000 0.022 0.215
.ph_p_pds_003_0 ~~
.ph_p_pds_003_1 0.154 0.005 28.088 0.000 0.154 0.394
.ph_p_pds_003_2 0.105 0.005 20.523 0.000 0.105 0.266
.ph_p_pds_003_3 0.064 0.005 13.616 0.000 0.064 0.171
.ph_p_pds_003_4 0.028 0.004 6.771 0.000 0.028 0.085
.ph_p_pds_003_5 0.024 0.004 5.961 0.000 0.024 0.077
.ph_p_pds_003_6 0.010 0.005 1.973 0.049 0.010 0.033
.ph_p_pds_003_1 ~~
.ph_p_pds_003_2 0.178 0.006 29.833 0.000 0.178 0.412
.ph_p_pds_003_3 0.108 0.005 20.428 0.000 0.108 0.265
.ph_p_pds_003_4 0.049 0.005 10.673 0.000 0.049 0.135
.ph_p_pds_003_5 0.028 0.004 6.545 0.000 0.028 0.085
.ph_p_pds_003_6 0.012 0.005 2.210 0.027 0.012 0.037
.ph_p_pds_003_2 ~~
.ph_p_pds_003_3 0.173 0.006 30.317 0.000 0.173 0.420
.ph_p_pds_003_4 0.085 0.005 18.063 0.000 0.085 0.234
.ph_p_pds_003_5 0.053 0.004 12.066 0.000 0.053 0.157
.ph_p_pds_003_6 0.020 0.005 3.616 0.000 0.020 0.060
.ph_p_pds_003_3 ~~
.ph_p_pds_003_4 0.119 0.005 26.292 0.000 0.119 0.349
.ph_p_pds_003_5 0.067 0.004 16.167 0.000 0.067 0.211
.ph_p_pds_003_6 0.044 0.005 8.726 0.000 0.044 0.143
.ph_p_pds_003_4 ~~
.ph_p_pds_003_5 0.087 0.004 22.589 0.000 0.087 0.309
.ph_p_pds_003_6 0.069 0.005 14.801 0.000 0.069 0.253
.ph_p_pds_003_5 ~~
.ph_p_pds_003_6 0.082 0.004 18.695 0.000 0.082 0.323
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
pu_etaB 0.000 0.000 0.000
pu_eta1 0.000 0.000 0.000
pu_eta2 0.000 0.000 0.000
pu_eta3 0.000 0.000 0.000
pu_eta4 0.000 0.000 0.000
pu_eta5 0.000 0.000 0.000
pu_eta6 0.000 0.000 0.000
.p___001 (ta_S) -0.440 0.010 -42.833 0.000 -0.440 -0.399
.p___002 (ta_R) -0.835 0.008 -111.172 0.000 -0.835 -1.030
.p___003 (ta_M) -0.863 0.007 -120.968 0.000 -0.863 -1.118
.p___001 (t_S1) -0.362 0.010 -37.126 0.000 -0.362 -0.350
.p___002 (t_R1) -0.578 0.008 -69.825 0.000 -0.578 -0.657
.p___003 (t_M1) -0.568 0.008 -69.374 0.000 -0.568 -0.651
.p___001 (t_S2) -0.204 0.009 -22.816 0.000 -0.204 -0.217
.p___002 (t_R2) -0.163 0.009 -19.047 0.000 -0.163 -0.181
.p___003 (t_M2) -0.145 0.009 -16.947 0.000 -0.145 -0.161
.p___001 (t_S3) 0.014 0.008 1.696 0.090 0.014 0.017
.p___002 (t_R3) 0.194 0.008 23.898 0.000 0.194 0.232
.p___003 (t_M3) 0.197 0.008 24.140 0.000 0.197 0.234
.p___001 (t_S4) 0.339 0.008 43.711 0.000 0.339 0.439
.p___002 (t_R4) 0.578 0.007 82.692 0.000 0.578 0.826
.p___003 (t_M4) 0.570 0.007 79.942 0.000 0.570 0.803
.p___001 (t_S5) 0.553 0.008 71.484 0.000 0.553 0.741
.p___002 (t_R5) 0.775 0.006 121.027 0.000 0.775 1.249
.p___003 (t_M5) 0.761 0.007 113.242 0.000 0.761 1.182
.p___001 (t_S6) 0.754 0.009 79.593 0.000 0.754 1.019
.p___002 (t_R6) 0.933 0.007 130.578 0.000 0.933 1.649
.p___003 (t_M6) 0.916 0.008 111.565 0.000 0.916 1.463
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
pu_etaB 1.000 1.000 1.000
pu_eta1 1.000 1.000 1.000
pu_eta2 1.000 1.000 1.000
pu_eta3 1.000 1.000 1.000
pu_eta4 1.000 1.000 1.000
pu_eta5 1.000 1.000 1.000
pu_eta6 1.000 1.000 1.000
.ph_p_pds_001_0 0.974 0.014 68.591 0.000 0.974 0.802
.ph_p_pds_002_0 0.272 0.009 31.136 0.000 0.272 0.413
.ph_p_pds_003_0 0.358 0.007 53.491 0.000 0.358 0.601
.ph_p_pds_001_1 0.809 0.012 67.424 0.000 0.809 0.759
.ph_p_pds_002_1 0.257 0.009 28.669 0.000 0.257 0.332
.ph_p_pds_003_1 0.429 0.008 54.645 0.000 0.429 0.563
.ph_p_pds_001_2 0.609 0.009 65.247 0.000 0.609 0.689
.ph_p_pds_002_2 0.213 0.008 25.601 0.000 0.213 0.263
.ph_p_pds_003_2 0.436 0.008 55.546 0.000 0.436 0.533
.ph_p_pds_001_3 0.453 0.007 60.844 0.000 0.453 0.620
.ph_p_pds_002_3 0.155 0.007 22.449 0.000 0.155 0.222
.ph_p_pds_003_3 0.387 0.007 56.764 0.000 0.387 0.545
.ph_p_pds_001_4 0.334 0.006 54.274 0.000 0.334 0.560
.ph_p_pds_002_4 0.127 0.005 25.079 0.000 0.127 0.260
.ph_p_pds_003_4 0.301 0.005 57.036 0.000 0.301 0.599
.ph_p_pds_001_5 0.288 0.006 49.335 0.000 0.288 0.517
.ph_p_pds_002_5 0.105 0.004 25.176 0.000 0.105 0.273
.ph_p_pds_003_5 0.262 0.005 56.231 0.000 0.262 0.632
.ph_p_pds_001_6 0.265 0.008 35.255 0.000 0.265 0.483
.ph_p_pds_002_6 0.097 0.005 21.267 0.000 0.097 0.303
.ph_p_pds_003_6 0.249 0.006 42.681 0.000 0.249 0.635
R-Square:
Estimate
ph_p_pds_001_0 0.198
ph_p_pds_002_0 0.587
ph_p_pds_003_0 0.399
ph_p_pds_001_1 0.241
ph_p_pds_002_1 0.668
ph_p_pds_003_1 0.437
ph_p_pds_001_2 0.311
ph_p_pds_002_2 0.737
ph_p_pds_003_2 0.467
ph_p_pds_001_3 0.380
ph_p_pds_002_3 0.778
ph_p_pds_003_3 0.455
ph_p_pds_001_4 0.440
ph_p_pds_002_4 0.740
ph_p_pds_003_4 0.401
ph_p_pds_001_5 0.483
ph_p_pds_002_5 0.727
ph_p_pds_003_5 0.368
ph_p_pds_001_6 0.517
ph_p_pds_002_6 0.697
ph_p_pds_003_6 0.365
Weak invariance model
model fit
pu.weak.invar <- "#factor loadings - MARKER VARIABLE METHOD
# First indicator (S) fixed to 1 at all time points for identification
pu_etaB =~ 1*ph_p_pds_001_0+
lambda_R*ph_p_pds_002_0+
lambda_M*ph_p_pds_003_0
pu_eta1 =~ 1*ph_p_pds_001_1+
lambda_R*ph_p_pds_002_1+
lambda_M*ph_p_pds_003_1
pu_eta2 =~ 1*ph_p_pds_001_2+
lambda_R*ph_p_pds_002_2+
lambda_M*ph_p_pds_003_2
pu_eta3 =~ 1*ph_p_pds_001_3+
lambda_R*ph_p_pds_002_3+
lambda_M*ph_p_pds_003_3
pu_eta4 =~ 1*ph_p_pds_001_4+
lambda_R*ph_p_pds_002_4+
lambda_M*ph_p_pds_003_4
pu_eta5 =~ 1*ph_p_pds_001_5+
lambda_R*ph_p_pds_002_5+
lambda_M*ph_p_pds_003_5
pu_eta6 =~ 1*ph_p_pds_001_6+
lambda_R*ph_p_pds_002_6+
lambda_M*ph_p_pds_003_6
#latent variable variances - FREE TO VARY ACROSS TIME
pu_etaB~~NA*pu_etaB
pu_eta1~~NA*pu_eta1
pu_eta2~~NA*pu_eta2
pu_eta3~~NA*pu_eta3
pu_eta4~~NA*pu_eta4
pu_eta5~~NA*pu_eta5
pu_eta6~~NA*pu_eta6
#latent variable covariances
pu_etaB~~pu_eta1 + pu_eta2 + pu_eta3 + pu_eta4 + pu_eta5 + pu_eta6
pu_eta1~~pu_eta2 + pu_eta3 + pu_eta4 + pu_eta5 + pu_eta6
pu_eta2~~pu_eta3 + pu_eta4 + pu_eta5 + pu_eta6
pu_eta3~~pu_eta4 + pu_eta5 + pu_eta6
pu_eta4~~pu_eta5 + pu_eta6
pu_eta5~~pu_eta6
#unique variances
ph_p_pds_001_0~~ph_p_pds_001_0
ph_p_pds_002_0~~ph_p_pds_002_0
ph_p_pds_003_0~~ph_p_pds_003_0
ph_p_pds_001_1~~ph_p_pds_001_1
ph_p_pds_002_1~~ph_p_pds_002_1
ph_p_pds_003_1~~ph_p_pds_003_1
ph_p_pds_001_2~~ph_p_pds_001_2
ph_p_pds_002_2~~ph_p_pds_002_2
ph_p_pds_003_2~~ph_p_pds_003_2
ph_p_pds_001_3~~ph_p_pds_001_3
ph_p_pds_002_3~~ph_p_pds_002_3
ph_p_pds_003_3~~ph_p_pds_003_3
ph_p_pds_001_4~~ph_p_pds_001_4
ph_p_pds_002_4~~ph_p_pds_002_4
ph_p_pds_003_4~~ph_p_pds_003_4
ph_p_pds_001_5~~ph_p_pds_001_5
ph_p_pds_002_5~~ph_p_pds_002_5
ph_p_pds_003_5~~ph_p_pds_003_5
ph_p_pds_001_6~~ph_p_pds_001_6
ph_p_pds_002_6~~ph_p_pds_002_6
ph_p_pds_003_6~~ph_p_pds_003_6
#unique covariances
ph_p_pds_001_0 ~~ ph_p_pds_001_1 + ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_1 ~~ ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_2 ~~ ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_3 ~~ ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_4 ~~ ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_5 ~~ ph_p_pds_001_6
ph_p_pds_002_0 ~~ ph_p_pds_002_1 + ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_1 ~~ ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_2 ~~ ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_3 ~~ ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_4 ~~ ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_5 ~~ ph_p_pds_002_6
ph_p_pds_003_0 ~~ ph_p_pds_003_1 + ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_1 ~~ ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_2 ~~ ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_3 ~~ ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_4 ~~ ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_5 ~~ ph_p_pds_003_6
#latent variable intercepts
pu_etaB~0*1
pu_eta1~0*1
pu_eta2~0*1
pu_eta3~0*1
pu_eta4~0*1
pu_eta5~0*1
pu_eta6~0*1
#observed variable intercepts - FREE TO VARY ACROSS TIME
ph_p_pds_001_0~tau_S0*1
ph_p_pds_002_0~tau_R0*1
ph_p_pds_003_0~tau_M0*1
ph_p_pds_001_1~tau_S1*1
ph_p_pds_002_1~tau_R1*1
ph_p_pds_003_1~tau_M1*1
ph_p_pds_001_2~tau_S2*1
ph_p_pds_002_2~tau_R2*1
ph_p_pds_003_2~tau_M2*1
ph_p_pds_001_3~tau_S3*1
ph_p_pds_002_3~tau_R3*1
ph_p_pds_003_3~tau_M3*1
ph_p_pds_001_4~tau_S4*1
ph_p_pds_002_4~tau_R4*1
ph_p_pds_003_4~tau_M4*1
ph_p_pds_001_5~tau_S5*1
ph_p_pds_002_5~tau_R5*1
ph_p_pds_003_5~tau_M5*1
ph_p_pds_001_6~tau_S6*1
ph_p_pds_002_6~tau_R6*1
ph_p_pds_003_6~tau_M6*1"
lavaan(pu.weak.invar,
data = pub_yp_mean_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("p_pub_weak.rds")result
readRDS("p_pub_weak.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("p_pub_weak_result.rds")# Check for Haywood case
eigen(inspect(readRDS("p_pub_weak.rds"), "cor.lv"))$value[1] 4.7335129 1.1736374 0.3953769 0.2608258 0.1687505 0.1511783 0.1167183
readRDS("p_pub_weak_result.rds")lavaan 0.6-19 ended normally after 115 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 147
Number of equality constraints 12
Used Total
Number of observations 11855 11867
Number of missing patterns 1045
Model Test User Model:
Test statistic 989.340
Degrees of freedom 117
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 95074.177
Degrees of freedom 210
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.991
Tucker-Lewis Index (TLI) 0.983
Robust Comparative Fit Index (CFI) 0.990
Robust Tucker-Lewis Index (TLI) 0.981
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -191095.267
Loglikelihood unrestricted model (H1) -190600.597
Akaike (AIC) 382460.534
Bayesian (BIC) 383456.902
Sample-size adjusted Bayesian (SABIC) 383027.888
Root Mean Square Error of Approximation:
RMSEA 0.025
90 Percent confidence interval - lower 0.024
90 Percent confidence interval - upper 0.027
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.031
90 Percent confidence interval - lower 0.029
90 Percent confidence interval - upper 0.033
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.038
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
pu_etaB =~
p___001 1.000 0.501 0.453
p___002 (lm_R) 1.244 0.014 90.255 0.000 0.623 0.767
p___003 (lm_M) 0.962 0.010 92.528 0.000 0.482 0.627
pu_eta1 =~
p___001 1.000 0.571 0.539
p___002 (lm_R) 1.244 0.014 90.255 0.000 0.710 0.809
p___003 (lm_M) 0.962 0.010 92.528 0.000 0.549 0.639
pu_eta2 =~
p___001 1.000 0.605 0.619
p___002 (lm_R) 1.244 0.014 90.255 0.000 0.753 0.844
p___003 (lm_M) 0.962 0.010 92.528 0.000 0.582 0.658
pu_eta3 =~
p___001 1.000 0.579 0.657
p___002 (lm_R) 1.244 0.014 90.255 0.000 0.720 0.868
p___003 (lm_M) 0.962 0.010 92.528 0.000 0.557 0.667
pu_eta4 =~
p___001 1.000 0.485 0.638
p___002 (lm_R) 1.244 0.014 90.255 0.000 0.603 0.863
p___003 (lm_M) 0.962 0.010 92.528 0.000 0.466 0.649
pu_eta5 =~
p___001 1.000 0.437 0.615
p___002 (lm_R) 1.244 0.014 90.255 0.000 0.544 0.872
p___003 (lm_M) 0.962 0.010 92.528 0.000 0.421 0.636
pu_eta6 =~
p___001 1.000 0.410 0.591
p___002 (lm_R) 1.244 0.014 90.255 0.000 0.510 0.884
p___003 (lm_M) 0.962 0.010 92.528 0.000 0.395 0.617
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
pu_etaB ~~
pu_eta1 0.230 0.006 38.304 0.000 0.803 0.803
pu_eta2 0.198 0.006 35.260 0.000 0.653 0.653
pu_eta3 0.157 0.005 31.495 0.000 0.543 0.543
pu_eta4 0.106 0.004 26.627 0.000 0.439 0.439
pu_eta5 0.077 0.004 21.764 0.000 0.352 0.352
pu_eta6 0.053 0.004 13.814 0.000 0.258 0.258
pu_eta1 ~~
pu_eta2 0.278 0.007 40.280 0.000 0.805 0.805
pu_eta3 0.226 0.006 37.250 0.000 0.684 0.684
pu_eta4 0.157 0.005 32.717 0.000 0.567 0.567
pu_eta5 0.122 0.004 29.009 0.000 0.490 0.490
pu_eta6 0.094 0.004 21.514 0.000 0.401 0.401
pu_eta2 ~~
pu_eta3 0.294 0.007 41.941 0.000 0.839 0.839
pu_eta4 0.199 0.005 37.207 0.000 0.678 0.678
pu_eta5 0.157 0.005 33.704 0.000 0.593 0.593
pu_eta6 0.126 0.005 26.861 0.000 0.509 0.509
pu_eta3 ~~
pu_eta4 0.217 0.005 39.631 0.000 0.774 0.774
pu_eta5 0.172 0.005 36.499 0.000 0.681 0.681
pu_eta6 0.139 0.005 29.883 0.000 0.584 0.584
pu_eta4 ~~
pu_eta5 0.170 0.004 38.370 0.000 0.802 0.802
pu_eta6 0.137 0.004 31.967 0.000 0.689 0.689
pu_eta5 ~~
pu_eta6 0.145 0.004 34.276 0.000 0.807 0.807
.ph_p_pds_001_0 ~~
.ph_p_pds_001_1 0.398 0.010 39.296 0.000 0.398 0.453
.ph_p_pds_001_2 0.263 0.009 30.492 0.000 0.263 0.348
.ph_p_pds_001_3 0.155 0.007 20.753 0.000 0.155 0.238
.ph_p_pds_001_4 0.059 0.007 8.867 0.000 0.059 0.103
.ph_p_pds_001_5 0.025 0.007 3.800 0.000 0.025 0.045
.ph_p_pds_001_6 0.009 0.008 1.076 0.282 0.009 0.016
.ph_p_pds_001_1 ~~
.ph_p_pds_001_2 0.286 0.008 34.906 0.000 0.286 0.418
.ph_p_pds_001_3 0.167 0.007 23.646 0.000 0.167 0.282
.ph_p_pds_001_4 0.072 0.006 11.528 0.000 0.072 0.138
.ph_p_pds_001_5 0.032 0.006 5.234 0.000 0.032 0.063
.ph_p_pds_001_6 0.007 0.008 0.920 0.358 0.007 0.014
.ph_p_pds_001_2 ~~
.ph_p_pds_001_3 0.195 0.006 30.093 0.000 0.195 0.382
.ph_p_pds_001_4 0.089 0.006 16.017 0.000 0.089 0.197
.ph_p_pds_001_5 0.038 0.005 7.045 0.000 0.038 0.087
.ph_p_pds_001_6 0.022 0.007 3.185 0.001 0.022 0.050
.ph_p_pds_001_3 ~~
.ph_p_pds_001_4 0.111 0.005 21.872 0.000 0.111 0.286
.ph_p_pds_001_5 0.056 0.005 11.716 0.000 0.056 0.151
.ph_p_pds_001_6 0.032 0.006 5.362 0.000 0.032 0.085
.ph_p_pds_001_4 ~~
.ph_p_pds_001_5 0.124 0.005 27.252 0.000 0.124 0.380
.ph_p_pds_001_6 0.076 0.006 13.654 0.000 0.076 0.232
.ph_p_pds_001_5 ~~
.ph_p_pds_001_6 0.126 0.005 23.346 0.000 0.126 0.403
.ph_p_pds_002_0 ~~
.ph_p_pds_002_1 0.084 0.006 14.423 0.000 0.084 0.314
.ph_p_pds_002_2 0.033 0.005 6.268 0.000 0.033 0.131
.ph_p_pds_002_3 0.008 0.005 1.708 0.088 0.008 0.037
.ph_p_pds_002_4 -0.002 0.004 -0.529 0.597 -0.002 -0.012
.ph_p_pds_002_5 -0.006 0.004 -1.558 0.119 -0.006 -0.036
.ph_p_pds_002_6 -0.003 0.004 -0.709 0.478 -0.003 -0.023
.ph_p_pds_002_1 ~~
.ph_p_pds_002_2 0.068 0.006 11.500 0.000 0.068 0.274
.ph_p_pds_002_3 0.030 0.005 5.996 0.000 0.030 0.142
.ph_p_pds_002_4 0.014 0.004 3.204 0.001 0.014 0.074
.ph_p_pds_002_5 0.003 0.004 0.781 0.435 0.003 0.019
.ph_p_pds_002_6 0.005 0.005 1.063 0.288 0.005 0.036
.ph_p_pds_002_2 ~~
.ph_p_pds_002_3 0.048 0.005 9.066 0.000 0.048 0.246
.ph_p_pds_002_4 0.025 0.004 5.971 0.000 0.025 0.151
.ph_p_pds_002_5 0.007 0.004 1.726 0.084 0.007 0.045
.ph_p_pds_002_6 0.007 0.004 1.627 0.104 0.007 0.055
.ph_p_pds_002_3 ~~
.ph_p_pds_002_4 0.029 0.004 7.149 0.000 0.029 0.201
.ph_p_pds_002_5 0.012 0.004 3.310 0.001 0.012 0.095
.ph_p_pds_002_6 0.012 0.004 2.924 0.003 0.012 0.105
.ph_p_pds_002_4 ~~
.ph_p_pds_002_5 0.018 0.003 5.450 0.000 0.018 0.170
.ph_p_pds_002_6 0.011 0.004 3.116 0.002 0.011 0.121
.ph_p_pds_002_5 ~~
.ph_p_pds_002_6 0.010 0.003 2.951 0.003 0.010 0.126
.ph_p_pds_003_0 ~~
.ph_p_pds_003_1 0.157 0.005 30.250 0.000 0.157 0.395
.ph_p_pds_003_2 0.106 0.005 21.261 0.000 0.106 0.265
.ph_p_pds_003_3 0.063 0.005 13.580 0.000 0.063 0.168
.ph_p_pds_003_4 0.028 0.004 6.681 0.000 0.028 0.085
.ph_p_pds_003_5 0.024 0.004 5.906 0.000 0.024 0.077
.ph_p_pds_003_6 0.010 0.005 1.985 0.047 0.010 0.033
.ph_p_pds_003_1 ~~
.ph_p_pds_003_2 0.182 0.006 31.817 0.000 0.182 0.413
.ph_p_pds_003_3 0.108 0.005 20.881 0.000 0.108 0.263
.ph_p_pds_003_4 0.048 0.005 10.585 0.000 0.048 0.133
.ph_p_pds_003_5 0.027 0.004 6.262 0.000 0.027 0.081
.ph_p_pds_003_6 0.012 0.005 2.236 0.025 0.012 0.037
.ph_p_pds_003_2 ~~
.ph_p_pds_003_3 0.173 0.006 31.453 0.000 0.173 0.418
.ph_p_pds_003_4 0.085 0.005 18.082 0.000 0.085 0.232
.ph_p_pds_003_5 0.053 0.004 11.855 0.000 0.053 0.155
.ph_p_pds_003_6 0.021 0.006 3.787 0.000 0.021 0.063
.ph_p_pds_003_3 ~~
.ph_p_pds_003_4 0.118 0.005 26.141 0.000 0.118 0.348
.ph_p_pds_003_5 0.067 0.004 15.908 0.000 0.067 0.211
.ph_p_pds_003_6 0.046 0.005 8.842 0.000 0.046 0.146
.ph_p_pds_003_4 ~~
.ph_p_pds_003_5 0.088 0.004 22.336 0.000 0.088 0.315
.ph_p_pds_003_6 0.072 0.005 15.118 0.000 0.072 0.263
.ph_p_pds_003_5 ~~
.ph_p_pds_003_6 0.086 0.005 18.932 0.000 0.086 0.336
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
pu_etaB 0.000 0.000 0.000
pu_eta1 0.000 0.000 0.000
pu_eta2 0.000 0.000 0.000
pu_eta3 0.000 0.000 0.000
pu_eta4 0.000 0.000 0.000
pu_eta5 0.000 0.000 0.000
pu_eta6 0.000 0.000 0.000
.p___001 (t_S0) -0.440 0.010 -42.740 0.000 -0.440 -0.398
.p___002 (t_R0) -0.835 0.008 -111.006 0.000 -0.835 -1.028
.p___003 (t_M0) -0.863 0.007 -121.304 0.000 -0.863 -1.121
.p___001 (t_S1) -0.361 0.010 -36.210 0.000 -0.361 -0.341
.p___002 (t_R1) -0.578 0.008 -70.028 0.000 -0.578 -0.659
.p___003 (t_M1) -0.569 0.008 -70.455 0.000 -0.569 -0.661
.p___001 (t_S2) -0.203 0.009 -21.871 0.000 -0.203 -0.208
.p___002 (t_R2) -0.163 0.008 -19.154 0.000 -0.163 -0.182
.p___003 (t_M2) -0.146 0.008 -17.351 0.000 -0.146 -0.165
.p___001 (t_S3) 0.015 0.009 1.737 0.082 0.015 0.017
.p___002 (t_R3) 0.194 0.008 24.100 0.000 0.194 0.234
.p___003 (t_M3) 0.197 0.008 24.359 0.000 0.197 0.236
.p___001 (t_S4) 0.338 0.008 44.287 0.000 0.338 0.445
.p___002 (t_R4) 0.578 0.007 82.838 0.000 0.578 0.827
.p___003 (t_M4) 0.570 0.007 79.020 0.000 0.570 0.793
.p___001 (t_S5) 0.551 0.007 74.286 0.000 0.551 0.774
.p___002 (t_R5) 0.774 0.006 120.358 0.000 0.774 1.241
.p___003 (t_M5) 0.761 0.007 110.516 0.000 0.761 1.151
.p___001 (t_S6) 0.754 0.009 83.130 0.000 0.754 1.087
.p___002 (t_R6) 0.932 0.007 128.479 0.000 0.932 1.615
.p___003 (t_M6) 0.916 0.008 109.548 0.000 0.916 1.432
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
pu_etaB 0.251 0.006 38.709 0.000 1.000 1.000
pu_eta1 0.326 0.008 41.038 0.000 1.000 1.000
pu_eta2 0.366 0.009 43.040 0.000 1.000 1.000
pu_eta3 0.335 0.008 43.197 0.000 1.000 1.000
pu_eta4 0.235 0.006 41.130 0.000 1.000 1.000
pu_eta5 0.191 0.005 39.320 0.000 1.000 1.000
pu_eta6 0.168 0.005 33.293 0.000 1.000 1.000
.ph_p_pds_001_0 0.971 0.014 69.746 0.000 0.971 0.795
.ph_p_pds_002_0 0.271 0.007 37.629 0.000 0.271 0.411
.ph_p_pds_003_0 0.359 0.006 59.455 0.000 0.359 0.607
.ph_p_pds_001_1 0.794 0.012 66.528 0.000 0.794 0.709
.ph_p_pds_002_1 0.267 0.008 34.061 0.000 0.267 0.346
.ph_p_pds_003_1 0.437 0.007 59.834 0.000 0.437 0.592
.ph_p_pds_001_2 0.590 0.009 63.235 0.000 0.590 0.617
.ph_p_pds_002_2 0.230 0.007 30.821 0.000 0.230 0.288
.ph_p_pds_003_2 0.444 0.007 59.708 0.000 0.444 0.567
.ph_p_pds_001_3 0.440 0.007 59.631 0.000 0.440 0.568
.ph_p_pds_002_3 0.170 0.006 27.095 0.000 0.170 0.247
.ph_p_pds_003_3 0.387 0.007 58.825 0.000 0.387 0.555
.ph_p_pds_001_4 0.341 0.006 57.529 0.000 0.341 0.592
.ph_p_pds_002_4 0.124 0.005 26.619 0.000 0.124 0.255
.ph_p_pds_003_4 0.299 0.005 57.007 0.000 0.299 0.579
.ph_p_pds_001_5 0.315 0.006 56.113 0.000 0.315 0.622
.ph_p_pds_002_5 0.093 0.004 23.473 0.000 0.093 0.239
.ph_p_pds_003_5 0.261 0.005 55.170 0.000 0.261 0.595
.ph_p_pds_001_6 0.313 0.007 43.807 0.000 0.313 0.650
.ph_p_pds_002_6 0.073 0.004 16.482 0.000 0.073 0.218
.ph_p_pds_003_6 0.253 0.006 42.647 0.000 0.253 0.619
R-Square:
Estimate
ph_p_pds_001_0 0.205
ph_p_pds_002_0 0.589
ph_p_pds_003_0 0.393
ph_p_pds_001_1 0.291
ph_p_pds_002_1 0.654
ph_p_pds_003_1 0.408
ph_p_pds_001_2 0.383
ph_p_pds_002_2 0.712
ph_p_pds_003_2 0.433
ph_p_pds_001_3 0.432
ph_p_pds_002_3 0.753
ph_p_pds_003_3 0.445
ph_p_pds_001_4 0.408
ph_p_pds_002_4 0.745
ph_p_pds_003_4 0.421
ph_p_pds_001_5 0.378
ph_p_pds_002_5 0.761
ph_p_pds_003_5 0.405
ph_p_pds_001_6 0.350
ph_p_pds_002_6 0.782
ph_p_pds_003_6 0.381
Strong invariance model
model fit
pu.strong.invar <- "#factor loadings - MARKER VARIABLE METHOD
# First indicator (S) fixed to 1 at all time points for identification
pu_etaB =~ 1*ph_p_pds_001_0+
lambda_R*ph_p_pds_002_0+
lambda_M*ph_p_pds_003_0
pu_eta1 =~ 1*ph_p_pds_001_1+
lambda_R*ph_p_pds_002_1+
lambda_M*ph_p_pds_003_1
pu_eta2 =~ 1*ph_p_pds_001_2+
lambda_R*ph_p_pds_002_2+
lambda_M*ph_p_pds_003_2
pu_eta3 =~ 1*ph_p_pds_001_3+
lambda_R*ph_p_pds_002_3+
lambda_M*ph_p_pds_003_3
pu_eta4 =~ 1*ph_p_pds_001_4+
lambda_R*ph_p_pds_002_4+
lambda_M*ph_p_pds_003_4
pu_eta5 =~ 1*ph_p_pds_001_5+
lambda_R*ph_p_pds_002_5+
lambda_M*ph_p_pds_003_5
pu_eta6 =~ 1*ph_p_pds_001_6+
lambda_R*ph_p_pds_002_6+
lambda_M*ph_p_pds_003_6
#latent variable variances - FREE TO VARY ACROSS TIME
pu_etaB~~NA*pu_etaB
pu_eta1~~NA*pu_eta1
pu_eta2~~NA*pu_eta2
pu_eta3~~NA*pu_eta3
pu_eta4~~NA*pu_eta4
pu_eta5~~NA*pu_eta5
pu_eta6~~NA*pu_eta6
#latent variable covariances
pu_etaB~~pu_eta1 + pu_eta2 + pu_eta3 + pu_eta4 + pu_eta5 + pu_eta6
pu_eta1~~pu_eta2 + pu_eta3 + pu_eta4 + pu_eta5 + pu_eta6
pu_eta2~~pu_eta3 + pu_eta4 + pu_eta5 + pu_eta6
pu_eta3~~pu_eta4 + pu_eta5 + pu_eta6
pu_eta4~~pu_eta5 + pu_eta6
pu_eta5~~pu_eta6
#unique variances
ph_p_pds_001_0~~ph_p_pds_001_0
ph_p_pds_002_0~~ph_p_pds_002_0
ph_p_pds_003_0~~ph_p_pds_003_0
ph_p_pds_001_1~~ph_p_pds_001_1
ph_p_pds_002_1~~ph_p_pds_002_1
ph_p_pds_003_1~~ph_p_pds_003_1
ph_p_pds_001_2~~ph_p_pds_001_2
ph_p_pds_002_2~~ph_p_pds_002_2
ph_p_pds_003_2~~ph_p_pds_003_2
ph_p_pds_001_3~~ph_p_pds_001_3
ph_p_pds_002_3~~ph_p_pds_002_3
ph_p_pds_003_3~~ph_p_pds_003_3
ph_p_pds_001_4~~ph_p_pds_001_4
ph_p_pds_002_4~~ph_p_pds_002_4
ph_p_pds_003_4~~ph_p_pds_003_4
ph_p_pds_001_5~~ph_p_pds_001_5
ph_p_pds_002_5~~ph_p_pds_002_5
ph_p_pds_003_5~~ph_p_pds_003_5
ph_p_pds_001_6~~ph_p_pds_001_6
ph_p_pds_002_6~~ph_p_pds_002_6
ph_p_pds_003_6~~ph_p_pds_003_6
#unique covariances
ph_p_pds_001_0 ~~ ph_p_pds_001_1 + ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_1 ~~ ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_2 ~~ ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_3 ~~ ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_4 ~~ ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_5 ~~ ph_p_pds_001_6
ph_p_pds_002_0 ~~ ph_p_pds_002_1 + ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_1 ~~ ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_2 ~~ ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_3 ~~ ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_4 ~~ ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_5 ~~ ph_p_pds_002_6
ph_p_pds_003_0 ~~ ph_p_pds_003_1 + ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_1 ~~ ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_2 ~~ ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_3 ~~ ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_4 ~~ ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_5 ~~ ph_p_pds_003_6
#latent variable intercepts - FREE TO VARY ACROSS TIME
pu_etaB~0*1
pu_eta1~alpha1*1
pu_eta2~alpha2*1
pu_eta3~alpha3*1
pu_eta4~alpha4*1
pu_eta5~alpha5*1
pu_eta6~alpha6*1
#observed variable intercepts - CONSTRAINED TO BE EQUAL ACROSS TIME
ph_p_pds_001_0~tau_S*1
ph_p_pds_002_0~tau_R*1
ph_p_pds_003_0~tau_M*1
ph_p_pds_001_1~tau_S*1
ph_p_pds_002_1~tau_R*1
ph_p_pds_003_1~tau_M*1
ph_p_pds_001_2~tau_S*1
ph_p_pds_002_2~tau_R*1
ph_p_pds_003_2~tau_M*1
ph_p_pds_001_3~tau_S*1
ph_p_pds_002_3~tau_R*1
ph_p_pds_003_3~tau_M*1
ph_p_pds_001_4~tau_S*1
ph_p_pds_002_4~tau_R*1
ph_p_pds_003_4~tau_M*1
ph_p_pds_001_5~tau_S*1
ph_p_pds_002_5~tau_R*1
ph_p_pds_003_5~tau_M*1
ph_p_pds_001_6~tau_S*1
ph_p_pds_002_6~tau_R*1
ph_p_pds_003_6~tau_M*1"
lavaan(pu.strong.invar,
data = pub_yp_mean_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("p_pub_strong.rds")result
readRDS("p_pub_strong.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("p_pub_strong_result.rds")# Check for Haywood case
eigen(inspect(readRDS("p_pub_strong.rds"), "cor.lv"))$value[1] 4.7591998 1.1530461 0.3925566 0.2602978 0.1679434 0.1514014 0.1155548
readRDS("p_pub_strong_result.rds")lavaan 0.6-19 ended normally after 139 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 153
Number of equality constraints 30
Used Total
Number of observations 11855 11867
Number of missing patterns 1045
Model Test User Model:
Test statistic 3171.142
Degrees of freedom 129
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 95074.177
Degrees of freedom 210
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.968
Tucker-Lewis Index (TLI) 0.948
Robust Comparative Fit Index (CFI) 0.967
Robust Tucker-Lewis Index (TLI) 0.947
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -192186.168
Loglikelihood unrestricted model (H1) -190600.597
Akaike (AIC) 384618.336
Bayesian (BIC) 385526.138
Sample-size adjusted Bayesian (SABIC) 385135.258
Root Mean Square Error of Approximation:
RMSEA 0.045
90 Percent confidence interval - lower 0.043
90 Percent confidence interval - upper 0.046
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.053
90 Percent confidence interval - lower 0.051
90 Percent confidence interval - upper 0.054
P-value H_0: Robust RMSEA <= 0.050 0.009
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.063
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
pu_etaB =~
p___001 1.000 0.427 0.386
p___002 (lm_R) 1.347 0.009 142.377 0.000 0.576 0.716
p___003 (lm_M) 1.276 0.009 136.324 0.000 0.545 0.691
pu_eta1 =~
p___001 1.000 0.496 0.481
p___002 (lm_R) 1.347 0.009 142.377 0.000 0.668 0.768
p___003 (lm_M) 1.276 0.009 136.324 0.000 0.632 0.711
pu_eta2 =~
p___001 1.000 0.533 0.566
p___002 (lm_R) 1.347 0.009 142.377 0.000 0.718 0.812
p___003 (lm_M) 1.276 0.009 136.324 0.000 0.680 0.733
pu_eta3 =~
p___001 1.000 0.510 0.600
p___002 (lm_R) 1.347 0.009 142.377 0.000 0.687 0.836
p___003 (lm_M) 1.276 0.009 136.324 0.000 0.651 0.738
pu_eta4 =~
p___001 1.000 0.424 0.577
p___002 (lm_R) 1.347 0.009 142.377 0.000 0.571 0.828
p___003 (lm_M) 1.276 0.009 136.324 0.000 0.541 0.716
pu_eta5 =~
p___001 1.000 0.380 0.549
p___002 (lm_R) 1.347 0.009 142.377 0.000 0.512 0.831
p___003 (lm_M) 1.276 0.009 136.324 0.000 0.484 0.700
pu_eta6 =~
p___001 1.000 0.355 0.521
p___002 (lm_R) 1.347 0.009 142.377 0.000 0.479 0.839
p___003 (lm_M) 1.276 0.009 136.324 0.000 0.454 0.683
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
pu_etaB ~~
pu_eta1 0.170 0.004 41.612 0.000 0.802 0.802
pu_eta2 0.148 0.004 37.824 0.000 0.651 0.651
pu_eta3 0.118 0.004 33.364 0.000 0.544 0.544
pu_eta4 0.081 0.003 27.859 0.000 0.446 0.446
pu_eta5 0.058 0.003 22.483 0.000 0.360 0.360
pu_eta6 0.040 0.003 14.080 0.000 0.266 0.266
pu_eta1 ~~
pu_eta2 0.213 0.005 43.769 0.000 0.806 0.806
pu_eta3 0.174 0.004 40.115 0.000 0.687 0.687
pu_eta4 0.120 0.003 34.702 0.000 0.573 0.573
pu_eta5 0.094 0.003 30.412 0.000 0.497 0.497
pu_eta6 0.072 0.003 22.178 0.000 0.411 0.411
pu_eta2 ~~
pu_eta3 0.229 0.005 45.636 0.000 0.842 0.842
pu_eta4 0.154 0.004 39.821 0.000 0.681 0.681
pu_eta5 0.121 0.003 35.737 0.000 0.599 0.599
pu_eta6 0.098 0.004 27.722 0.000 0.516 0.516
pu_eta3 ~~
pu_eta4 0.168 0.004 42.631 0.000 0.776 0.776
pu_eta5 0.133 0.003 38.914 0.000 0.686 0.686
pu_eta6 0.108 0.003 31.034 0.000 0.594 0.594
pu_eta4 ~~
pu_eta5 0.129 0.003 41.076 0.000 0.804 0.804
pu_eta6 0.105 0.003 33.100 0.000 0.693 0.693
pu_eta5 ~~
pu_eta6 0.109 0.003 35.479 0.000 0.808 0.808
.ph_p_pds_001_0 ~~
.ph_p_pds_001_1 0.431 0.011 40.754 0.000 0.431 0.466
.ph_p_pds_001_2 0.257 0.009 29.166 0.000 0.257 0.324
.ph_p_pds_001_3 0.138 0.008 17.787 0.000 0.138 0.199
.ph_p_pds_001_4 0.049 0.007 6.903 0.000 0.049 0.080
.ph_p_pds_001_5 0.028 0.007 3.962 0.000 0.028 0.047
.ph_p_pds_001_6 0.024 0.009 2.727 0.006 0.024 0.041
.ph_p_pds_001_1 ~~
.ph_p_pds_001_2 0.286 0.008 35.242 0.000 0.286 0.407
.ph_p_pds_001_3 0.160 0.007 22.585 0.000 0.160 0.260
.ph_p_pds_001_4 0.069 0.006 10.894 0.000 0.069 0.127
.ph_p_pds_001_5 0.035 0.006 5.669 0.000 0.035 0.067
.ph_p_pds_001_6 0.019 0.008 2.325 0.020 0.019 0.036
.ph_p_pds_001_2 ~~
.ph_p_pds_001_3 0.204 0.006 31.843 0.000 0.204 0.387
.ph_p_pds_001_4 0.097 0.006 17.387 0.000 0.097 0.207
.ph_p_pds_001_5 0.043 0.005 8.005 0.000 0.043 0.096
.ph_p_pds_001_6 0.020 0.007 2.951 0.003 0.020 0.045
.ph_p_pds_001_3 ~~
.ph_p_pds_001_4 0.124 0.005 24.276 0.000 0.124 0.304
.ph_p_pds_001_5 0.064 0.005 13.062 0.000 0.064 0.162
.ph_p_pds_001_6 0.029 0.006 4.811 0.000 0.029 0.074
.ph_p_pds_001_4 ~~
.ph_p_pds_001_5 0.137 0.005 29.472 0.000 0.137 0.393
.ph_p_pds_001_6 0.081 0.006 14.146 0.000 0.081 0.232
.ph_p_pds_001_5 ~~
.ph_p_pds_001_6 0.142 0.006 24.838 0.000 0.142 0.421
.ph_p_pds_002_0 ~~
.ph_p_pds_002_1 0.118 0.005 22.000 0.000 0.118 0.378
.ph_p_pds_002_2 0.060 0.005 12.097 0.000 0.060 0.205
.ph_p_pds_002_3 0.028 0.005 6.160 0.000 0.028 0.110
.ph_p_pds_002_4 0.009 0.004 2.207 0.027 0.009 0.040
.ph_p_pds_002_5 0.001 0.004 0.175 0.861 0.001 0.003
.ph_p_pds_002_6 0.000 0.005 0.028 0.978 0.000 0.001
.ph_p_pds_002_1 ~~
.ph_p_pds_002_2 0.098 0.005 18.365 0.000 0.098 0.342
.ph_p_pds_002_3 0.053 0.005 11.112 0.000 0.053 0.210
.ph_p_pds_002_4 0.028 0.004 6.768 0.000 0.028 0.129
.ph_p_pds_002_5 0.013 0.004 3.443 0.001 0.013 0.070
.ph_p_pds_002_6 0.011 0.005 2.451 0.014 0.011 0.066
.ph_p_pds_002_2 ~~
.ph_p_pds_002_3 0.076 0.005 15.526 0.000 0.076 0.324
.ph_p_pds_002_4 0.043 0.004 10.415 0.000 0.043 0.213
.ph_p_pds_002_5 0.019 0.004 5.057 0.000 0.019 0.108
.ph_p_pds_002_6 0.017 0.004 3.940 0.000 0.017 0.108
.ph_p_pds_002_3 ~~
.ph_p_pds_002_4 0.049 0.004 12.617 0.000 0.049 0.282
.ph_p_pds_002_5 0.027 0.004 7.476 0.000 0.027 0.172
.ph_p_pds_002_6 0.022 0.004 5.555 0.000 0.022 0.159
.ph_p_pds_002_4 ~~
.ph_p_pds_002_5 0.036 0.003 11.070 0.000 0.036 0.274
.ph_p_pds_002_6 0.025 0.004 6.697 0.000 0.025 0.208
.ph_p_pds_002_5 ~~
.ph_p_pds_002_6 0.028 0.004 8.033 0.000 0.028 0.265
.ph_p_pds_003_0 ~~
.ph_p_pds_003_1 0.129 0.005 24.267 0.000 0.129 0.361
.ph_p_pds_003_2 0.083 0.005 16.413 0.000 0.083 0.230
.ph_p_pds_003_3 0.047 0.005 9.927 0.000 0.047 0.139
.ph_p_pds_003_4 0.018 0.004 4.113 0.000 0.018 0.059
.ph_p_pds_003_5 0.018 0.004 4.311 0.000 0.018 0.063
.ph_p_pds_003_6 0.007 0.005 1.280 0.201 0.007 0.024
.ph_p_pds_003_1 ~~
.ph_p_pds_003_2 0.150 0.006 26.190 0.000 0.150 0.380
.ph_p_pds_003_3 0.087 0.005 16.534 0.000 0.087 0.233
.ph_p_pds_003_4 0.036 0.005 7.720 0.000 0.036 0.109
.ph_p_pds_003_5 0.020 0.005 4.395 0.000 0.020 0.064
.ph_p_pds_003_6 0.006 0.006 1.130 0.258 0.006 0.021
.ph_p_pds_003_2 ~~
.ph_p_pds_003_3 0.146 0.006 26.204 0.000 0.146 0.390
.ph_p_pds_003_4 0.072 0.005 14.906 0.000 0.072 0.217
.ph_p_pds_003_5 0.046 0.005 9.909 0.000 0.046 0.147
.ph_p_pds_003_6 0.015 0.006 2.729 0.006 0.015 0.051
.ph_p_pds_003_3 ~~
.ph_p_pds_003_4 0.105 0.005 22.247 0.000 0.105 0.336
.ph_p_pds_003_5 0.060 0.004 13.496 0.000 0.060 0.203
.ph_p_pds_003_6 0.040 0.005 7.543 0.000 0.040 0.140
.ph_p_pds_003_4 ~~
.ph_p_pds_003_5 0.079 0.004 18.922 0.000 0.079 0.303
.ph_p_pds_003_6 0.066 0.005 13.266 0.000 0.066 0.259
.ph_p_pds_003_5 ~~
.ph_p_pds_003_6 0.077 0.005 16.162 0.000 0.077 0.321
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
pu_etaB 0.000 0.000 0.000
pu_eta1 (alp1) 0.198 0.004 44.716 0.000 0.400 0.400
pu_eta2 (alp2) 0.497 0.006 82.470 0.000 0.932 0.932
pu_eta3 (alp3) 0.757 0.007 105.190 0.000 1.485 1.485
pu_eta4 (alp4) 1.051 0.008 124.296 0.000 2.478 2.478
pu_eta5 (alp5) 1.207 0.009 129.996 0.000 3.179 3.179
pu_eta6 (alp6) 1.334 0.010 128.315 0.000 3.753 3.753
.p___001 (ta_S) -0.653 0.008 -78.943 0.000 -0.653 -0.590
.p___002 (ta_R) -0.846 0.007 -119.371 0.000 -0.846 -1.051
.p___003 (ta_M) -0.801 0.007 -112.690 0.000 -0.801 -1.015
.p___001 (ta_S) -0.653 0.008 -78.943 0.000 -0.653 -0.633
.p___002 (ta_R) -0.846 0.007 -119.371 0.000 -0.846 -0.973
.p___003 (ta_M) -0.801 0.007 -112.690 0.000 -0.801 -0.901
.p___001 (ta_S) -0.653 0.008 -78.943 0.000 -0.653 -0.693
.p___002 (ta_R) -0.846 0.007 -119.371 0.000 -0.846 -0.955
.p___003 (ta_M) -0.801 0.007 -112.690 0.000 -0.801 -0.864
.p___001 (ta_S) -0.653 0.008 -78.943 0.000 -0.653 -0.768
.p___002 (ta_R) -0.846 0.007 -119.371 0.000 -0.846 -1.029
.p___003 (ta_M) -0.801 0.007 -112.690 0.000 -0.801 -0.909
.p___001 (ta_S) -0.653 0.008 -78.943 0.000 -0.653 -0.888
.p___002 (ta_R) -0.846 0.007 -119.371 0.000 -0.846 -1.225
.p___003 (ta_M) -0.801 0.007 -112.690 0.000 -0.801 -1.060
.p___001 (ta_S) -0.653 0.008 -78.943 0.000 -0.653 -0.944
.p___002 (ta_R) -0.846 0.007 -119.371 0.000 -0.846 -1.373
.p___003 (ta_M) -0.801 0.007 -112.690 0.000 -0.801 -1.158
.p___001 (ta_S) -0.653 0.008 -78.943 0.000 -0.653 -0.957
.p___002 (ta_R) -0.846 0.007 -119.371 0.000 -0.846 -1.481
.p___003 (ta_M) -0.801 0.007 -112.690 0.000 -0.801 -1.205
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
pu_etaB 0.183 0.004 42.191 0.000 1.000 1.000
pu_eta1 0.246 0.005 44.712 0.000 1.000 1.000
pu_eta2 0.284 0.006 46.896 0.000 1.000 1.000
pu_eta3 0.260 0.006 46.823 0.000 1.000 1.000
pu_eta4 0.180 0.004 44.301 0.000 1.000 1.000
pu_eta5 0.144 0.003 41.792 0.000 1.000 1.000
pu_eta6 0.126 0.004 33.865 0.000 1.000 1.000
.ph_p_pds_001_0 1.044 0.015 70.364 0.000 1.044 0.851
.ph_p_pds_002_0 0.315 0.007 48.153 0.000 0.315 0.487
.ph_p_pds_003_0 0.325 0.006 51.882 0.000 0.325 0.523
.ph_p_pds_001_1 0.819 0.012 68.399 0.000 0.819 0.769
.ph_p_pds_002_1 0.310 0.007 43.977 0.000 0.310 0.410
.ph_p_pds_003_1 0.391 0.007 53.580 0.000 0.391 0.494
.ph_p_pds_001_2 0.604 0.009 65.747 0.000 0.604 0.680
.ph_p_pds_002_2 0.267 0.007 40.285 0.000 0.267 0.341
.ph_p_pds_003_2 0.398 0.007 53.956 0.000 0.398 0.462
.ph_p_pds_001_3 0.462 0.007 62.441 0.000 0.462 0.640
.ph_p_pds_002_3 0.203 0.006 35.981 0.000 0.203 0.301
.ph_p_pds_003_3 0.353 0.007 52.775 0.000 0.353 0.455
.ph_p_pds_001_4 0.361 0.006 60.505 0.000 0.361 0.668
.ph_p_pds_002_4 0.150 0.004 34.321 0.000 0.150 0.315
.ph_p_pds_003_4 0.278 0.005 50.864 0.000 0.278 0.487
.ph_p_pds_001_5 0.334 0.006 58.233 0.000 0.334 0.699
.ph_p_pds_002_5 0.118 0.004 30.982 0.000 0.118 0.310
.ph_p_pds_003_5 0.244 0.005 49.316 0.000 0.244 0.510
.ph_p_pds_001_6 0.339 0.008 44.085 0.000 0.339 0.729
.ph_p_pds_002_6 0.096 0.004 22.085 0.000 0.096 0.296
.ph_p_pds_003_6 0.236 0.006 38.428 0.000 0.236 0.534
R-Square:
Estimate
ph_p_pds_001_0 0.149
ph_p_pds_002_0 0.513
ph_p_pds_003_0 0.477
ph_p_pds_001_1 0.231
ph_p_pds_002_1 0.590
ph_p_pds_003_1 0.506
ph_p_pds_001_2 0.320
ph_p_pds_002_2 0.659
ph_p_pds_003_2 0.538
ph_p_pds_001_3 0.360
ph_p_pds_002_3 0.699
ph_p_pds_003_3 0.545
ph_p_pds_001_4 0.332
ph_p_pds_002_4 0.685
ph_p_pds_003_4 0.513
ph_p_pds_001_5 0.301
ph_p_pds_002_5 0.690
ph_p_pds_003_5 0.490
ph_p_pds_001_6 0.271
ph_p_pds_002_6 0.704
ph_p_pds_003_6 0.466
Latent growth curve model
model fit (with intercept & slope)
lg.pub.strong.invar <- "#factor loadings
pu_etaB =~ 1*ph_p_pds_001_0 +
lambda_R*ph_p_pds_002_0 +
lambda_M*ph_p_pds_003_0
pu_eta1 =~ 1*ph_p_pds_001_1 +
lambda_R*ph_p_pds_002_1 +
lambda_M*ph_p_pds_003_1
pu_eta2 =~ 1*ph_p_pds_001_2 +
lambda_R*ph_p_pds_002_2 +
lambda_M*ph_p_pds_003_2
pu_eta3 =~ 1*ph_p_pds_001_3 +
lambda_R*ph_p_pds_002_3 +
lambda_M*ph_p_pds_003_3
pu_eta4 =~ 1*ph_p_pds_001_4 +
lambda_R*ph_p_pds_002_4 +
lambda_M*ph_p_pds_003_4
pu_eta5 =~ 1*ph_p_pds_001_5 +
lambda_R*ph_p_pds_002_5 +
lambda_M*ph_p_pds_003_5
pu_eta6 =~ 1*ph_p_pds_001_6 +
lambda_R*ph_p_pds_002_6 +
lambda_M*ph_p_pds_003_6
#latent variable variances
pu_etaB~~NA*pu_etaB
pu_eta1~~NA*pu_eta1
pu_eta2~~NA*pu_eta2
pu_eta3~~NA*pu_eta3
pu_eta4~~NA*pu_eta4
pu_eta5~~NA*pu_eta5
pu_eta6~~NA*pu_eta6
#unique variances
ph_p_pds_001_0 ~~ ph_p_pds_001_0
ph_p_pds_002_0 ~~ ph_p_pds_002_0
ph_p_pds_003_0 ~~ ph_p_pds_003_0
ph_p_pds_001_1 ~~ ph_p_pds_001_1
ph_p_pds_002_1 ~~ ph_p_pds_002_1
ph_p_pds_003_1 ~~ ph_p_pds_003_1
ph_p_pds_001_2 ~~ ph_p_pds_001_2
ph_p_pds_002_2 ~~ ph_p_pds_002_2
ph_p_pds_003_2 ~~ ph_p_pds_003_2
ph_p_pds_001_3 ~~ ph_p_pds_001_3
ph_p_pds_002_3 ~~ ph_p_pds_002_3
ph_p_pds_003_3 ~~ ph_p_pds_003_3
ph_p_pds_001_4 ~~ ph_p_pds_001_4
ph_p_pds_002_4 ~~ ph_p_pds_002_4
ph_p_pds_003_4 ~~ ph_p_pds_003_4
ph_p_pds_001_5 ~~ ph_p_pds_001_5
ph_p_pds_002_5 ~~ ph_p_pds_002_5
ph_p_pds_003_5 ~~ ph_p_pds_003_5
ph_p_pds_001_6 ~~ ph_p_pds_001_6
ph_p_pds_002_6 ~~ ph_p_pds_002_6
ph_p_pds_003_6 ~~ ph_p_pds_003_6
#unique covariances
ph_p_pds_001_0 ~~ ph_p_pds_001_1 + ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_1 ~~ ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_2 ~~ ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_3 ~~ ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_4 ~~ ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_5 ~~ ph_p_pds_001_6
ph_p_pds_002_0 ~~ ph_p_pds_002_1 + ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_1 ~~ ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_2 ~~ ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_3 ~~ ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_4 ~~ ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_5 ~~ ph_p_pds_002_6
ph_p_pds_003_0 ~~ ph_p_pds_003_1 + ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_1 ~~ ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_2 ~~ ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_3 ~~ ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_4 ~~ ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_5 ~~ ph_p_pds_003_6
#observed variable intercepts
ph_p_pds_001_0 ~ tau_S*1
ph_p_pds_001_1 ~ tau_S*1
ph_p_pds_001_2 ~ tau_S*1
ph_p_pds_001_3 ~ tau_S*1
ph_p_pds_001_4 ~ tau_S*1
ph_p_pds_001_5 ~ tau_S*1
ph_p_pds_001_6 ~ tau_S*1
ph_p_pds_002_0 ~ tau_R*1
ph_p_pds_002_1 ~ tau_R*1
ph_p_pds_002_2 ~ tau_R*1
ph_p_pds_002_3 ~ tau_R*1
ph_p_pds_002_4 ~ tau_R*1
ph_p_pds_002_5 ~ tau_R*1
ph_p_pds_002_6 ~ tau_R*1
ph_p_pds_003_0 ~ tau_M*1
ph_p_pds_003_1 ~ tau_M*1
ph_p_pds_003_2 ~ tau_M*1
ph_p_pds_003_3 ~ tau_M*1
ph_p_pds_003_4 ~ tau_M*1
ph_p_pds_003_5 ~ tau_M*1
ph_p_pds_003_6 ~ tau_M*1
#latent basis model
pu_i =~ 1*pu_etaB + 1*pu_eta1 + 1*pu_eta2 + 1*pu_eta3 + 1*pu_eta4 + 1*pu_eta5 + 1*pu_eta6
pu_s =~ 0*pu_etaB + 0.5*pu_eta1 + 1*pu_eta2 + 1.5*pu_eta3 + 2*pu_eta4 + 2.5*pu_eta5 + 3*pu_eta6
pu_i~~NA*pu_i
pu_s~~NA*pu_s
pu_i~~pu_s
pu_i~1
pu_s~1
pu_etaB~0*1
pu_eta1~0*1
pu_eta2~0*1
pu_eta3~0*1
pu_eta4~0*1
pu_eta5~0*1
pu_eta6~0*1"
lavaan(lg.pub.strong.invar,
data = pub_yp_mean_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("lg_p_pub_strong.rds")result
readRDS("lg_p_pub_strong.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("lg_pub_strong_result.rds")# Check for Haywood case
eigen(inspect(readRDS("lg_p_pub_strong.rds"), "cor.lv"))$value[1] 5.56533307 2.09777041 0.32643453 0.29690468 0.25702574 0.19371407 0.15450826
[8] 0.09085389 0.01745535
readRDS("lg_pub_strong_result.rds")lavaan 0.6-19 ended normally after 72 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 131
Number of equality constraints 30
Used Total
Number of observations 11855 11867
Number of missing patterns 1045
Model Test User Model:
Test statistic 7653.172
Degrees of freedom 151
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 95074.177
Degrees of freedom 210
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.921
Tucker-Lewis Index (TLI) 0.890
Robust Comparative Fit Index (CFI) 0.915
Robust Tucker-Lewis Index (TLI) 0.882
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -194427.183
Loglikelihood unrestricted model (H1) -190600.597
Akaike (AIC) 389056.366
Bayesian (BIC) 389801.797
Sample-size adjusted Bayesian (SABIC) 389480.831
Root Mean Square Error of Approximation:
RMSEA 0.065
90 Percent confidence interval - lower 0.064
90 Percent confidence interval - upper 0.066
P-value H_0: RMSEA <= 0.050 0.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.078
90 Percent confidence interval - lower 0.076
90 Percent confidence interval - upper 0.080
P-value H_0: Robust RMSEA <= 0.050 0.000
P-value H_0: Robust RMSEA >= 0.080 0.023
Standardized Root Mean Square Residual:
SRMR 0.103
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
pu_etaB =~
p___001 1.000 0.485 0.430
p___002 (lm_R) 1.298 0.009 141.551 0.000 0.630 0.749
p___003 (lm_M) 1.243 0.009 134.762 0.000 0.603 0.723
pu_eta1 =~
p___001 1.000 0.468 0.459
p___002 (lm_R) 1.298 0.009 141.551 0.000 0.607 0.723
p___003 (lm_M) 1.243 0.009 134.762 0.000 0.582 0.676
pu_eta2 =~
p___001 1.000 0.452 0.497
p___002 (lm_R) 1.298 0.009 141.551 0.000 0.587 0.716
p___003 (lm_M) 1.243 0.009 134.762 0.000 0.562 0.653
pu_eta3 =~
p___001 1.000 0.437 0.535
p___002 (lm_R) 1.298 0.009 141.551 0.000 0.567 0.744
p___003 (lm_M) 1.243 0.009 134.762 0.000 0.543 0.664
pu_eta4 =~
p___001 1.000 0.421 0.574
p___002 (lm_R) 1.298 0.009 141.551 0.000 0.546 0.799
p___003 (lm_M) 1.243 0.009 134.762 0.000 0.523 0.696
pu_eta5 =~
p___001 1.000 0.399 0.571
p___002 (lm_R) 1.298 0.009 141.551 0.000 0.518 0.834
p___003 (lm_M) 1.243 0.009 134.762 0.000 0.497 0.705
pu_eta6 =~
p___001 1.000 0.438 0.616
p___002 (lm_R) 1.298 0.009 141.551 0.000 0.569 0.884
p___003 (lm_M) 1.243 0.009 134.762 0.000 0.545 0.740
pu_i =~
pu_etaB 1.000 0.933 0.933
pu_eta1 1.000 0.967 0.967
pu_eta2 1.000 1.001 1.001
pu_eta3 1.000 1.036 1.036
pu_eta4 1.000 1.076 1.076
pu_eta5 1.000 1.133 1.133
pu_eta6 1.000 1.032 1.032
pu_s =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.500 0.168 0.168
pu_eta2 1.000 0.347 0.347
pu_eta3 1.500 0.538 0.538
pu_eta4 2.000 0.746 0.746
pu_eta5 2.500 0.982 0.982
pu_eta6 3.000 1.073 1.073
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.ph_p_pds_001_0 ~~
.ph_p_pds_001_1 0.426 0.011 40.326 0.000 0.426 0.462
.ph_p_pds_001_2 0.259 0.009 28.957 0.000 0.259 0.322
.ph_p_pds_001_3 0.139 0.008 17.754 0.000 0.139 0.199
.ph_p_pds_001_4 0.049 0.007 6.997 0.000 0.049 0.081
.ph_p_pds_001_5 0.016 0.007 2.330 0.020 0.016 0.028
.ph_p_pds_001_6 0.006 0.009 0.723 0.470 0.006 0.011
.ph_p_pds_001_1 ~~
.ph_p_pds_001_2 0.305 0.008 36.725 0.000 0.305 0.425
.ph_p_pds_001_3 0.176 0.007 24.376 0.000 0.176 0.281
.ph_p_pds_001_4 0.077 0.006 12.167 0.000 0.077 0.142
.ph_p_pds_001_5 0.035 0.006 5.712 0.000 0.035 0.068
.ph_p_pds_001_6 0.013 0.008 1.655 0.098 0.013 0.026
.ph_p_pds_001_2 ~~
.ph_p_pds_001_3 0.226 0.007 34.042 0.000 0.226 0.415
.ph_p_pds_001_4 0.106 0.006 18.892 0.000 0.106 0.225
.ph_p_pds_001_5 0.049 0.005 9.073 0.000 0.049 0.109
.ph_p_pds_001_6 0.031 0.007 4.600 0.000 0.031 0.070
.ph_p_pds_001_3 ~~
.ph_p_pds_001_4 0.133 0.005 25.623 0.000 0.133 0.321
.ph_p_pds_001_5 0.072 0.005 14.489 0.000 0.072 0.181
.ph_p_pds_001_6 0.041 0.006 6.863 0.000 0.041 0.106
.ph_p_pds_001_4 ~~
.ph_p_pds_001_5 0.139 0.005 30.053 0.000 0.139 0.403
.ph_p_pds_001_6 0.082 0.006 14.800 0.000 0.082 0.244
.ph_p_pds_001_5 ~~
.ph_p_pds_001_6 0.132 0.005 24.259 0.000 0.132 0.410
.ph_p_pds_002_0 ~~
.ph_p_pds_002_1 0.120 0.005 21.882 0.000 0.120 0.369
.ph_p_pds_002_2 0.042 0.005 8.358 0.000 0.042 0.133
.ph_p_pds_002_3 0.004 0.005 0.755 0.450 0.004 0.012
.ph_p_pds_002_4 -0.012 0.004 -2.999 0.003 -0.012 -0.053
.ph_p_pds_002_5 -0.011 0.004 -3.110 0.002 -0.011 -0.060
.ph_p_pds_002_6 0.003 0.005 0.636 0.525 0.003 0.018
.ph_p_pds_002_1 ~~
.ph_p_pds_002_2 0.137 0.005 25.311 0.000 0.137 0.414
.ph_p_pds_002_3 0.071 0.005 14.854 0.000 0.071 0.242
.ph_p_pds_002_4 0.022 0.004 5.365 0.000 0.022 0.093
.ph_p_pds_002_5 0.007 0.004 1.956 0.050 0.007 0.037
.ph_p_pds_002_6 0.015 0.005 3.261 0.001 0.015 0.088
.ph_p_pds_002_2 ~~
.ph_p_pds_002_3 0.144 0.005 28.507 0.000 0.144 0.494
.ph_p_pds_002_4 0.064 0.004 15.397 0.000 0.064 0.274
.ph_p_pds_002_5 0.019 0.004 5.164 0.000 0.019 0.100
.ph_p_pds_002_6 0.010 0.005 2.143 0.032 0.010 0.057
.ph_p_pds_002_3 ~~
.ph_p_pds_002_4 0.085 0.004 21.103 0.000 0.085 0.405
.ph_p_pds_002_5 0.031 0.004 8.769 0.000 0.031 0.180
.ph_p_pds_002_6 0.009 0.004 2.069 0.039 0.009 0.056
.ph_p_pds_002_4 ~~
.ph_p_pds_002_5 0.044 0.003 13.301 0.000 0.044 0.313
.ph_p_pds_002_6 0.003 0.004 0.821 0.412 0.003 0.026
.ph_p_pds_002_5 ~~
.ph_p_pds_002_6 0.016 0.004 4.631 0.000 0.016 0.158
.ph_p_pds_003_0 ~~
.ph_p_pds_003_1 0.132 0.006 24.012 0.000 0.132 0.361
.ph_p_pds_003_2 0.066 0.005 12.654 0.000 0.066 0.176
.ph_p_pds_003_3 0.028 0.005 5.710 0.000 0.028 0.080
.ph_p_pds_003_4 0.005 0.005 1.146 0.252 0.005 0.017
.ph_p_pds_003_5 0.018 0.004 4.195 0.000 0.018 0.063
.ph_p_pds_003_6 0.019 0.005 3.544 0.000 0.019 0.068
.ph_p_pds_003_1 ~~
.ph_p_pds_003_2 0.165 0.006 28.819 0.000 0.165 0.399
.ph_p_pds_003_3 0.090 0.005 17.083 0.000 0.090 0.231
.ph_p_pds_003_4 0.028 0.005 6.011 0.000 0.028 0.083
.ph_p_pds_003_5 0.013 0.005 2.910 0.004 0.013 0.042
.ph_p_pds_003_6 0.008 0.006 1.423 0.155 0.008 0.026
.ph_p_pds_003_2 ~~
.ph_p_pds_003_3 0.175 0.006 31.152 0.000 0.175 0.440
.ph_p_pds_003_4 0.081 0.005 16.482 0.000 0.081 0.230
.ph_p_pds_003_5 0.041 0.005 8.745 0.000 0.041 0.125
.ph_p_pds_003_6 0.010 0.006 1.666 0.096 0.010 0.030
.ph_p_pds_003_3 ~~
.ph_p_pds_003_4 0.120 0.005 24.913 0.000 0.120 0.363
.ph_p_pds_003_5 0.059 0.004 13.225 0.000 0.059 0.193
.ph_p_pds_003_6 0.034 0.006 6.174 0.000 0.034 0.113
.ph_p_pds_003_4 ~~
.ph_p_pds_003_5 0.086 0.004 20.052 0.000 0.086 0.320
.ph_p_pds_003_6 0.065 0.005 12.339 0.000 0.065 0.243
.ph_p_pds_003_5 ~~
.ph_p_pds_003_6 0.080 0.005 16.030 0.000 0.080 0.323
pu_i ~~
pu_s -0.044 0.002 -28.229 0.000 -0.625 -0.625
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.p___001 (ta_S) 0.040 0.004 11.089 0.000 0.040 0.035
.p___001 (ta_S) 0.040 0.004 11.089 0.000 0.040 0.039
.p___001 (ta_S) 0.040 0.004 11.089 0.000 0.040 0.044
.p___001 (ta_S) 0.040 0.004 11.089 0.000 0.040 0.049
.p___001 (ta_S) 0.040 0.004 11.089 0.000 0.040 0.054
.p___001 (ta_S) 0.040 0.004 11.089 0.000 0.040 0.057
.p___001 (ta_S) 0.040 0.004 11.089 0.000 0.040 0.056
.p___002 (ta_R) 0.080 0.002 33.739 0.000 0.080 0.095
.p___002 (ta_R) 0.080 0.002 33.739 0.000 0.080 0.095
.p___002 (ta_R) 0.080 0.002 33.739 0.000 0.080 0.098
.p___002 (ta_R) 0.080 0.002 33.739 0.000 0.080 0.105
.p___002 (ta_R) 0.080 0.002 33.739 0.000 0.080 0.117
.p___002 (ta_R) 0.080 0.002 33.739 0.000 0.080 0.129
.p___002 (ta_R) 0.080 0.002 33.739 0.000 0.080 0.125
.p___003 (ta_M) 0.075 0.003 29.134 0.000 0.075 0.090
.p___003 (ta_M) 0.075 0.003 29.134 0.000 0.075 0.087
.p___003 (ta_M) 0.075 0.003 29.134 0.000 0.075 0.087
.p___003 (ta_M) 0.075 0.003 29.134 0.000 0.075 0.091
.p___003 (ta_M) 0.075 0.003 29.134 0.000 0.075 0.099
.p___003 (ta_M) 0.075 0.003 29.134 0.000 0.075 0.106
.p___003 (ta_M) 0.075 0.003 29.134 0.000 0.075 0.102
pu_i -0.693 0.006 -106.662 0.000 -1.531 -1.531
pu_s 0.488 0.004 134.573 0.000 3.109 3.109
.pu_etaB 0.000 0.000 0.000
.pu_eta1 0.000 0.000 0.000
.pu_eta2 0.000 0.000 0.000
.pu_eta3 0.000 0.000 0.000
.pu_eta4 0.000 0.000 0.000
.pu_eta5 0.000 0.000 0.000
.pu_eta6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.pu_etaB 0.030 0.003 11.146 0.000 0.130 0.130
.pu_eta1 0.052 0.002 22.716 0.000 0.240 0.240
.pu_eta2 0.064 0.002 26.712 0.000 0.311 0.311
.pu_eta3 0.064 0.002 28.287 0.000 0.335 0.335
.pu_eta4 0.051 0.002 27.197 0.000 0.290 0.290
.pu_eta5 0.023 0.002 14.051 0.000 0.144 0.144
.pu_eta6 0.032 0.003 12.305 0.000 0.168 0.168
.ph_p_pds_001_0 1.035 0.015 69.941 0.000 1.035 0.815
.ph_p_pds_002_0 0.311 0.007 46.316 0.000 0.311 0.439
.ph_p_pds_003_0 0.332 0.007 50.045 0.000 0.332 0.478
.ph_p_pds_001_1 0.823 0.012 68.305 0.000 0.823 0.790
.ph_p_pds_002_1 0.337 0.007 46.365 0.000 0.337 0.478
.ph_p_pds_003_1 0.403 0.007 53.809 0.000 0.403 0.543
.ph_p_pds_001_2 0.624 0.010 65.641 0.000 0.624 0.753
.ph_p_pds_002_2 0.326 0.007 46.112 0.000 0.326 0.487
.ph_p_pds_003_2 0.424 0.008 55.719 0.000 0.424 0.573
.ph_p_pds_001_3 0.476 0.008 62.319 0.000 0.476 0.713
.ph_p_pds_002_3 0.259 0.006 42.571 0.000 0.259 0.446
.ph_p_pds_003_3 0.374 0.007 54.597 0.000 0.374 0.559
.ph_p_pds_001_4 0.360 0.006 60.084 0.000 0.360 0.670
.ph_p_pds_002_4 0.169 0.005 36.608 0.000 0.169 0.362
.ph_p_pds_003_4 0.291 0.006 50.973 0.000 0.291 0.515
.ph_p_pds_001_5 0.330 0.006 58.108 0.000 0.330 0.674
.ph_p_pds_002_5 0.117 0.004 31.110 0.000 0.117 0.304
.ph_p_pds_003_5 0.250 0.005 49.509 0.000 0.250 0.503
.ph_p_pds_001_6 0.315 0.007 44.386 0.000 0.315 0.621
.ph_p_pds_002_6 0.091 0.005 19.538 0.000 0.091 0.219
.ph_p_pds_003_6 0.245 0.007 37.172 0.000 0.245 0.452
pu_i 0.205 0.005 43.143 0.000 1.000 1.000
pu_s 0.025 0.001 31.027 0.000 1.000 1.000
R-Square:
Estimate
pu_etaB 0.870
pu_eta1 0.760
pu_eta2 0.689
pu_eta3 0.665
pu_eta4 0.710
pu_eta5 0.856
pu_eta6 0.832
ph_p_pds_001_0 0.185
ph_p_pds_002_0 0.561
ph_p_pds_003_0 0.522
ph_p_pds_001_1 0.210
ph_p_pds_002_1 0.522
ph_p_pds_003_1 0.457
ph_p_pds_001_2 0.247
ph_p_pds_002_2 0.513
ph_p_pds_003_2 0.427
ph_p_pds_001_3 0.287
ph_p_pds_002_3 0.554
ph_p_pds_003_3 0.441
ph_p_pds_001_4 0.330
ph_p_pds_002_4 0.638
ph_p_pds_003_4 0.485
ph_p_pds_001_5 0.326
ph_p_pds_002_5 0.696
ph_p_pds_003_5 0.497
ph_p_pds_001_6 0.379
ph_p_pds_002_6 0.781
ph_p_pds_003_6 0.548
model fit (with intercept, slope & qudratic)
lg.pub.strong.invar2 <- "#factor loadings
pu_etaB =~ 1*ph_p_pds_001_0 +
lambda_R*ph_p_pds_002_0 +
lambda_M*ph_p_pds_003_0
pu_eta1 =~ 1*ph_p_pds_001_1 +
lambda_R*ph_p_pds_002_1 +
lambda_M*ph_p_pds_003_1
pu_eta2 =~ 1*ph_p_pds_001_2 +
lambda_R*ph_p_pds_002_2 +
lambda_M*ph_p_pds_003_2
pu_eta3 =~ 1*ph_p_pds_001_3 +
lambda_R*ph_p_pds_002_3 +
lambda_M*ph_p_pds_003_3
pu_eta4 =~ 1*ph_p_pds_001_4 +
lambda_R*ph_p_pds_002_4 +
lambda_M*ph_p_pds_003_4
pu_eta5 =~ 1*ph_p_pds_001_5 +
lambda_R*ph_p_pds_002_5 +
lambda_M*ph_p_pds_003_5
pu_eta6 =~ 1*ph_p_pds_001_6 +
lambda_R*ph_p_pds_002_6 +
lambda_M*ph_p_pds_003_6
#latent variable variances
pu_etaB~~NA*pu_etaB
pu_eta1~~NA*pu_eta1
pu_eta2~~NA*pu_eta2
pu_eta3~~NA*pu_eta3
pu_eta4~~NA*pu_eta4
pu_eta5~~NA*pu_eta5
pu_eta6~~NA*pu_eta6
#unique variances
ph_p_pds_001_0 ~~ ph_p_pds_001_0
ph_p_pds_002_0 ~~ ph_p_pds_002_0
ph_p_pds_003_0 ~~ ph_p_pds_003_0
ph_p_pds_001_1 ~~ ph_p_pds_001_1
ph_p_pds_002_1 ~~ ph_p_pds_002_1
ph_p_pds_003_1 ~~ ph_p_pds_003_1
ph_p_pds_001_2 ~~ ph_p_pds_001_2
ph_p_pds_002_2 ~~ ph_p_pds_002_2
ph_p_pds_003_2 ~~ ph_p_pds_003_2
ph_p_pds_001_3 ~~ ph_p_pds_001_3
ph_p_pds_002_3 ~~ ph_p_pds_002_3
ph_p_pds_003_3 ~~ ph_p_pds_003_3
ph_p_pds_001_4 ~~ ph_p_pds_001_4
ph_p_pds_002_4 ~~ ph_p_pds_002_4
ph_p_pds_003_4 ~~ ph_p_pds_003_4
ph_p_pds_001_5 ~~ ph_p_pds_001_5
ph_p_pds_002_5 ~~ ph_p_pds_002_5
ph_p_pds_003_5 ~~ ph_p_pds_003_5
ph_p_pds_001_6 ~~ ph_p_pds_001_6
ph_p_pds_002_6 ~~ ph_p_pds_002_6
ph_p_pds_003_6 ~~ ph_p_pds_003_6
#unique covariances
ph_p_pds_001_0 ~~ ph_p_pds_001_1 + ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_1 ~~ ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_2 ~~ ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_3 ~~ ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_4 ~~ ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_5 ~~ ph_p_pds_001_6
ph_p_pds_002_0 ~~ ph_p_pds_002_1 + ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_1 ~~ ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_2 ~~ ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_3 ~~ ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_4 ~~ ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_5 ~~ ph_p_pds_002_6
ph_p_pds_003_0 ~~ ph_p_pds_003_1 + ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_1 ~~ ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_2 ~~ ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_3 ~~ ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_4 ~~ ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_5 ~~ ph_p_pds_003_6
#observed variable intercepts
ph_p_pds_001_0 ~ tau_S*1
ph_p_pds_001_1 ~ tau_S*1
ph_p_pds_001_2 ~ tau_S*1
ph_p_pds_001_3 ~ tau_S*1
ph_p_pds_001_4 ~ tau_S*1
ph_p_pds_001_5 ~ tau_S*1
ph_p_pds_001_6 ~ tau_S*1
ph_p_pds_002_0 ~ tau_R*1
ph_p_pds_002_1 ~ tau_R*1
ph_p_pds_002_2 ~ tau_R*1
ph_p_pds_002_3 ~ tau_R*1
ph_p_pds_002_4 ~ tau_R*1
ph_p_pds_002_5 ~ tau_R*1
ph_p_pds_002_6 ~ tau_R*1
ph_p_pds_003_0 ~ tau_M*1
ph_p_pds_003_1 ~ tau_M*1
ph_p_pds_003_2 ~ tau_M*1
ph_p_pds_003_3 ~ tau_M*1
ph_p_pds_003_4 ~ tau_M*1
ph_p_pds_003_5 ~ tau_M*1
ph_p_pds_003_6 ~ tau_M*1
#latent basis model
pu_i =~ 1*pu_etaB + 1*pu_eta1 + 1*pu_eta2 + 1*pu_eta3 + 1*pu_eta4 + 1*pu_eta5 + 1*pu_eta6
pu_s =~ 0*pu_etaB + 0.5*pu_eta1 + 1*pu_eta2 + 1.5*pu_eta3 + 2*pu_eta4 + 2.5*pu_eta5 + 3*pu_eta6
pu_q =~ 0*pu_etaB + 0.25*pu_eta1 + 1*pu_eta2 + 2.25*pu_eta3 + 4*pu_eta4 + 6.25*pu_eta5 + 9*pu_eta6
pu_i~~NA*pu_i
pu_s~~NA*pu_s
pu_q~~NA*pu_q
pu_i~~pu_s + pu_q
pu_s~~pu_q
pu_i~1
pu_s~1
pu_q~1
pu_etaB~0*1
pu_eta1~0*1
pu_eta2~0*1
pu_eta3~0*1
pu_eta4~0*1
pu_eta5~0*1
pu_eta6~0*1"
lavaan(lg.pub.strong.invar2,
data = pub_yp_mean_wide.scaled,
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = F,
std.lv = T
) %>%
saveRDS("lg_p_pub_strong2.rds")result
readRDS("lg_p_pub_strong2.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("lg_pub_strong_result2.rds")# Check for Haywood case
eigen(inspect(readRDS("lg_p_pub_strong2.rds"), "cor.lv"))$value [1] 5.86586265 2.26675410 0.97510432 0.22164161 0.20053993 0.18952102
[7] 0.15887135 0.09687195 0.02208400 0.00274907
readRDS("lg_pub_strong_result2.rds")lavaan 0.6-19 ended normally after 77 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 135
Number of equality constraints 30
Used Total
Number of observations 11855 11867
Number of missing patterns 1045
Model Test User Model:
Test statistic 5230.071
Degrees of freedom 147
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 95074.177
Degrees of freedom 210
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.946
Tucker-Lewis Index (TLI) 0.923
Robust Comparative Fit Index (CFI) 0.945
Robust Tucker-Lewis Index (TLI) 0.921
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -193215.632
Loglikelihood unrestricted model (H1) -190600.597
Akaike (AIC) 386641.265
Bayesian (BIC) 387416.218
Sample-size adjusted Bayesian (SABIC) 387082.540
Root Mean Square Error of Approximation:
RMSEA 0.054
90 Percent confidence interval - lower 0.053
90 Percent confidence interval - upper 0.055
P-value H_0: RMSEA <= 0.050 0.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.064
90 Percent confidence interval - lower 0.062
90 Percent confidence interval - upper 0.065
P-value H_0: Robust RMSEA <= 0.050 0.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.073
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
pu_etaB =~
p___001 1.000 0.439 0.394
p___002 (lm_R) 1.334 0.010 140.216 0.000 0.586 0.724
p___003 (lm_M) 1.262 0.009 134.899 0.000 0.555 0.699
pu_eta1 =~
p___001 1.000 0.482 0.470
p___002 (lm_R) 1.334 0.010 140.216 0.000 0.643 0.748
p___003 (lm_M) 1.262 0.009 134.899 0.000 0.608 0.691
pu_eta2 =~
p___001 1.000 0.494 0.533
p___002 (lm_R) 1.334 0.010 140.216 0.000 0.660 0.774
p___003 (lm_M) 1.262 0.009 134.899 0.000 0.624 0.698
pu_eta3 =~
p___001 1.000 0.490 0.584
p___002 (lm_R) 1.334 0.010 140.216 0.000 0.654 0.816
p___003 (lm_M) 1.262 0.009 134.899 0.000 0.619 0.719
pu_eta4 =~
p___001 1.000 0.458 0.610
p___002 (lm_R) 1.334 0.010 140.216 0.000 0.611 0.848
p___003 (lm_M) 1.262 0.009 134.899 0.000 0.578 0.734
pu_eta5 =~
p___001 1.000 0.396 0.567
p___002 (lm_R) 1.334 0.010 140.216 0.000 0.529 0.841
p___003 (lm_M) 1.262 0.009 134.899 0.000 0.500 0.709
pu_eta6 =~
p___001 1.000 0.346 0.511
p___002 (lm_R) 1.334 0.010 140.216 0.000 0.462 0.824
p___003 (lm_M) 1.262 0.009 134.899 0.000 0.437 0.671
pu_i =~
pu_etaB 1.000 0.977 0.977
pu_eta1 1.000 0.891 0.891
pu_eta2 1.000 0.869 0.869
pu_eta3 1.000 0.876 0.876
pu_eta4 1.000 0.937 0.937
pu_eta5 1.000 1.083 1.083
pu_eta6 1.000 1.241 1.241
pu_s =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.500 0.414 0.414
pu_eta2 1.000 0.807 0.807
pu_eta3 1.500 1.220 1.220
pu_eta4 2.000 1.741 1.741
pu_eta5 2.500 2.515 2.515
pu_eta6 3.000 3.457 3.457
pu_q =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.250 0.062 0.062
pu_eta2 1.000 0.242 0.242
pu_eta3 2.250 0.548 0.548
pu_eta4 4.000 1.043 1.043
pu_eta5 6.250 1.884 1.884
pu_eta6 9.000 3.107 3.107
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.ph_p_pds_001_0 ~~
.ph_p_pds_001_1 0.426 0.011 40.295 0.000 0.426 0.460
.ph_p_pds_001_2 0.253 0.009 28.429 0.000 0.253 0.315
.ph_p_pds_001_3 0.135 0.008 17.232 0.000 0.135 0.193
.ph_p_pds_001_4 0.051 0.007 7.304 0.000 0.051 0.084
.ph_p_pds_001_5 0.027 0.007 3.877 0.000 0.027 0.046
.ph_p_pds_001_6 0.023 0.009 2.581 0.010 0.023 0.039
.ph_p_pds_001_1 ~~
.ph_p_pds_001_2 0.296 0.008 36.154 0.000 0.296 0.418
.ph_p_pds_001_3 0.166 0.007 23.333 0.000 0.166 0.269
.ph_p_pds_001_4 0.069 0.006 10.996 0.000 0.069 0.128
.ph_p_pds_001_5 0.034 0.006 5.460 0.000 0.034 0.065
.ph_p_pds_001_6 0.019 0.008 2.369 0.018 0.019 0.036
.ph_p_pds_001_2 ~~
.ph_p_pds_001_3 0.214 0.007 32.876 0.000 0.214 0.400
.ph_p_pds_001_4 0.092 0.006 16.680 0.000 0.092 0.198
.ph_p_pds_001_5 0.040 0.005 7.492 0.000 0.040 0.090
.ph_p_pds_001_6 0.028 0.007 4.054 0.000 0.028 0.062
.ph_p_pds_001_3 ~~
.ph_p_pds_001_4 0.120 0.005 23.624 0.000 0.120 0.295
.ph_p_pds_001_5 0.061 0.005 12.551 0.000 0.061 0.156
.ph_p_pds_001_6 0.035 0.006 5.767 0.000 0.035 0.088
.ph_p_pds_001_4 ~~
.ph_p_pds_001_5 0.134 0.005 29.373 0.000 0.134 0.392
.ph_p_pds_001_6 0.084 0.006 14.681 0.000 0.084 0.241
.ph_p_pds_001_5 ~~
.ph_p_pds_001_6 0.142 0.006 24.934 0.000 0.142 0.424
.ph_p_pds_002_0 ~~
.ph_p_pds_002_1 0.119 0.005 21.761 0.000 0.119 0.373
.ph_p_pds_002_2 0.056 0.005 11.330 0.000 0.056 0.185
.ph_p_pds_002_3 0.023 0.004 5.243 0.000 0.023 0.090
.ph_p_pds_002_4 0.007 0.004 1.899 0.058 0.007 0.035
.ph_p_pds_002_5 0.001 0.004 0.233 0.816 0.001 0.004
.ph_p_pds_002_6 0.001 0.005 0.159 0.874 0.001 0.004
.ph_p_pds_002_1 ~~
.ph_p_pds_002_2 0.124 0.005 23.176 0.000 0.124 0.402
.ph_p_pds_002_3 0.057 0.005 12.090 0.000 0.057 0.215
.ph_p_pds_002_4 0.013 0.004 3.081 0.002 0.013 0.057
.ph_p_pds_002_5 0.008 0.004 2.102 0.036 0.008 0.041
.ph_p_pds_002_6 0.026 0.005 5.695 0.000 0.026 0.145
.ph_p_pds_002_2 ~~
.ph_p_pds_002_3 0.100 0.005 20.849 0.000 0.100 0.399
.ph_p_pds_002_4 0.030 0.004 7.276 0.000 0.030 0.144
.ph_p_pds_002_5 0.011 0.004 2.843 0.004 0.011 0.057
.ph_p_pds_002_6 0.032 0.004 7.388 0.000 0.032 0.189
.ph_p_pds_002_3 ~~
.ph_p_pds_002_4 0.046 0.004 11.760 0.000 0.046 0.257
.ph_p_pds_002_5 0.020 0.003 5.645 0.000 0.020 0.124
.ph_p_pds_002_6 0.033 0.004 8.234 0.000 0.033 0.221
.ph_p_pds_002_4 ~~
.ph_p_pds_002_5 0.037 0.003 11.475 0.000 0.037 0.286
.ph_p_pds_002_6 0.023 0.004 6.363 0.000 0.023 0.193
.ph_p_pds_002_5 ~~
.ph_p_pds_002_6 0.028 0.004 8.076 0.000 0.028 0.262
.ph_p_pds_003_0 ~~
.ph_p_pds_003_1 0.134 0.005 24.789 0.000 0.134 0.371
.ph_p_pds_003_2 0.082 0.005 16.255 0.000 0.082 0.226
.ph_p_pds_003_3 0.046 0.005 9.754 0.000 0.046 0.136
.ph_p_pds_003_4 0.018 0.004 4.064 0.000 0.018 0.059
.ph_p_pds_003_5 0.020 0.004 4.694 0.000 0.020 0.069
.ph_p_pds_003_6 0.006 0.005 1.239 0.215 0.006 0.023
.ph_p_pds_003_1 ~~
.ph_p_pds_003_2 0.165 0.006 28.802 0.000 0.165 0.405
.ph_p_pds_003_3 0.089 0.005 16.886 0.000 0.089 0.233
.ph_p_pds_003_4 0.027 0.005 5.590 0.000 0.027 0.078
.ph_p_pds_003_5 0.013 0.005 2.776 0.006 0.013 0.040
.ph_p_pds_003_6 0.007 0.006 1.174 0.240 0.007 0.022
.ph_p_pds_003_2 ~~
.ph_p_pds_003_3 0.157 0.005 28.628 0.000 0.157 0.410
.ph_p_pds_003_4 0.065 0.005 13.317 0.000 0.065 0.191
.ph_p_pds_003_5 0.037 0.005 7.976 0.000 0.037 0.116
.ph_p_pds_003_6 0.015 0.006 2.717 0.007 0.015 0.050
.ph_p_pds_003_3 ~~
.ph_p_pds_003_4 0.106 0.005 21.971 0.000 0.106 0.330
.ph_p_pds_003_5 0.056 0.004 12.478 0.000 0.056 0.186
.ph_p_pds_003_6 0.038 0.005 7.201 0.000 0.038 0.132
.ph_p_pds_003_4 ~~
.ph_p_pds_003_5 0.086 0.004 19.816 0.000 0.086 0.322
.ph_p_pds_003_6 0.063 0.005 12.430 0.000 0.063 0.245
.ph_p_pds_003_5 ~~
.ph_p_pds_003_6 0.074 0.005 15.437 0.000 0.074 0.306
pu_i ~~
pu_s -0.033 0.005 -7.303 0.000 -0.195 -0.195
pu_q -0.006 0.001 -4.272 0.000 -0.111 -0.111
pu_s ~~
pu_q -0.044 0.002 -21.761 0.000 -0.918 -0.918
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.p___001 (ta_S) 0.035 0.004 9.457 0.000 0.035 0.031
.p___001 (ta_S) 0.035 0.004 9.457 0.000 0.035 0.034
.p___001 (ta_S) 0.035 0.004 9.457 0.000 0.035 0.037
.p___001 (ta_S) 0.035 0.004 9.457 0.000 0.035 0.041
.p___001 (ta_S) 0.035 0.004 9.457 0.000 0.035 0.046
.p___001 (ta_S) 0.035 0.004 9.457 0.000 0.035 0.049
.p___001 (ta_S) 0.035 0.004 9.457 0.000 0.035 0.051
.p___002 (ta_R) 0.088 0.002 37.953 0.000 0.088 0.108
.p___002 (ta_R) 0.088 0.002 37.953 0.000 0.088 0.102
.p___002 (ta_R) 0.088 0.002 37.953 0.000 0.088 0.103
.p___002 (ta_R) 0.088 0.002 37.953 0.000 0.088 0.109
.p___002 (ta_R) 0.088 0.002 37.953 0.000 0.088 0.122
.p___002 (ta_R) 0.088 0.002 37.953 0.000 0.088 0.139
.p___002 (ta_R) 0.088 0.002 37.953 0.000 0.088 0.157
.p___003 (ta_M) 0.079 0.003 31.519 0.000 0.079 0.100
.p___003 (ta_M) 0.079 0.003 31.519 0.000 0.079 0.090
.p___003 (ta_M) 0.079 0.003 31.519 0.000 0.079 0.089
.p___003 (ta_M) 0.079 0.003 31.519 0.000 0.079 0.092
.p___003 (ta_M) 0.079 0.003 31.519 0.000 0.079 0.101
.p___003 (ta_M) 0.079 0.003 31.519 0.000 0.079 0.112
.p___003 (ta_M) 0.079 0.003 31.519 0.000 0.079 0.122
pu_i -0.715 0.007 -108.648 0.000 -1.665 -1.665
pu_s 0.597 0.007 86.648 0.000 1.497 1.497
pu_q -0.043 0.002 -22.539 0.000 -0.362 -0.362
.pu_etaB 0.000 0.000 0.000
.pu_eta1 0.000 0.000 0.000
.pu_eta2 0.000 0.000 0.000
.pu_eta3 0.000 0.000 0.000
.pu_eta4 0.000 0.000 0.000
.pu_eta5 0.000 0.000 0.000
.pu_eta6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.pu_etaB 0.009 0.003 2.707 0.007 0.045 0.045
.pu_eta1 0.054 0.002 23.656 0.000 0.234 0.234
.pu_eta2 0.052 0.002 24.155 0.000 0.215 0.215
.pu_eta3 0.047 0.002 23.329 0.000 0.196 0.196
.pu_eta4 0.040 0.002 22.391 0.000 0.191 0.191
.pu_eta5 0.026 0.002 17.035 0.000 0.168 0.168
.pu_eta6 0.013 0.003 4.823 0.000 0.107 0.107
.ph_p_pds_001_0 1.052 0.015 69.921 0.000 1.052 0.845
.ph_p_pds_002_0 0.313 0.007 47.790 0.000 0.313 0.476
.ph_p_pds_003_0 0.322 0.006 51.663 0.000 0.322 0.511
.ph_p_pds_001_1 0.818 0.012 68.477 0.000 0.818 0.779
.ph_p_pds_002_1 0.326 0.007 44.798 0.000 0.326 0.441
.ph_p_pds_003_1 0.405 0.008 53.812 0.000 0.405 0.523
.ph_p_pds_001_2 0.615 0.009 65.670 0.000 0.615 0.716
.ph_p_pds_002_2 0.292 0.007 43.063 0.000 0.292 0.402
.ph_p_pds_003_2 0.410 0.007 55.246 0.000 0.410 0.513
.ph_p_pds_001_3 0.465 0.007 62.371 0.000 0.465 0.659
.ph_p_pds_002_3 0.215 0.006 37.967 0.000 0.215 0.335
.ph_p_pds_003_3 0.358 0.007 53.761 0.000 0.358 0.483
.ph_p_pds_001_4 0.353 0.006 60.349 0.000 0.353 0.628
.ph_p_pds_002_4 0.146 0.004 32.868 0.000 0.146 0.282
.ph_p_pds_003_4 0.286 0.006 50.176 0.000 0.286 0.461
.ph_p_pds_001_5 0.331 0.006 58.163 0.000 0.331 0.678
.ph_p_pds_002_5 0.116 0.004 30.621 0.000 0.116 0.294
.ph_p_pds_003_5 0.248 0.005 49.271 0.000 0.248 0.498
.ph_p_pds_001_6 0.339 0.008 44.156 0.000 0.339 0.739
.ph_p_pds_002_6 0.101 0.004 22.688 0.000 0.101 0.321
.ph_p_pds_003_6 0.233 0.006 38.406 0.000 0.233 0.549
pu_i 0.184 0.005 37.310 0.000 1.000 1.000
pu_s 0.159 0.007 23.513 0.000 1.000 1.000
pu_q 0.014 0.001 22.200 0.000 1.000 1.000
R-Square:
Estimate
pu_etaB 0.955
pu_eta1 0.766
pu_eta2 0.785
pu_eta3 0.804
pu_eta4 0.809
pu_eta5 0.832
pu_eta6 0.893
ph_p_pds_001_0 0.155
ph_p_pds_002_0 0.524
ph_p_pds_003_0 0.489
ph_p_pds_001_1 0.221
ph_p_pds_002_1 0.559
ph_p_pds_003_1 0.477
ph_p_pds_001_2 0.284
ph_p_pds_002_2 0.598
ph_p_pds_003_2 0.487
ph_p_pds_001_3 0.341
ph_p_pds_002_3 0.665
ph_p_pds_003_3 0.517
ph_p_pds_001_4 0.372
ph_p_pds_002_4 0.718
ph_p_pds_003_4 0.539
ph_p_pds_001_5 0.322
ph_p_pds_002_5 0.706
ph_p_pds_003_5 0.502
ph_p_pds_001_6 0.261
ph_p_pds_002_6 0.679
ph_p_pds_003_6 0.451
ICC
lavPredict(readRDS("lg_p_pub_strong2.rds"),
newdata = pub_yp_mean_wide.scaled,
append.data = T
) %>%
data.frame() %>%
select(contains(c("pu_eta"))) %>%
ICC(lmer = T) %>%
saveRDS("p_pub_icc.rds")readRDS("p_pub_icc.rds") %>%
{
\(x) x$results
}() %>%
knitr::kable()| type | ICC | F | df1 | df2 | p | lower bound | upper bound | |
|---|---|---|---|---|---|---|---|---|
| Single_raters_absolute | ICC1 | 0.1699108 | 2.432829 | 11866 | 71202 | 0 | 0.1633996 | 0.1765641 |
| Single_random_raters | ICC2 | 0.2480579 | 19.682861 | 11866 | 71196 | 0 | 0.0771192 | 0.4205272 |
| Single_fixed_raters | ICC3 | 0.7274447 | 19.682861 | 11866 | 71196 | 0 | 0.7216905 | 0.7331719 |
| Average_raters_absolute | ICC1k | 0.5889559 | 2.432829 | 11866 | 71202 | 0 | 0.5775593 | 0.6001543 |
| Average_random_raters | ICC2k | 0.6978147 | 19.682861 | 11866 | 71196 | 0 | 0.3690634 | 0.8355249 |
| Average_fixed_raters | ICC3k | 0.9491944 | 19.682861 | 11866 | 71196 | 0 | 0.9477857 | 0.9505785 |
LGCM plot
lgcm_plot(readRDS("lg_p_pub_strong2.rds")) +
labs(y = "Children's Puberty") +
scale_x_continuous(
breaks = seq(0, 3, .5),
labels = c("10", "11", "12", "13", "14", "15", "16")
) +
# add significant results for intercept and slope
annotate(geom = "text", x = 2.5, y = -0.3, label = 'paste(" ",italic("i")," = -.715***")', parse = TRUE, size = 10) +
annotate(geom = "text", x = 2.5, y = -0.5, label = 'paste(italic("s")," = .597***")', parse = TRUE, size = 10) +
annotate(geom = "text", x = 2.5, y = -0.7, label = 'paste(" ",italic("q")," = -.043*** ")', parse = TRUE, size = 10)
Model comparison
lapply(
c(
"p_pub_config_result.rds",
"p_pub_weak_result.rds",
"p_pub_strong_result.rds",
"lg_pub_strong_result.rds",
"lg_pub_strong_result2.rds"
),
function(f) {
readRDS(f)$fit[c(
"chisq", "df", "pvalue",
"cfi.robust", "tli.robust",
"rmsea.robust", "rmsea.ci.lower.robust",
"rmsea.ci.upper.robust", "srmr"
)]
}
) %>%
do.call(rbind, .) %>%
round(3) %>%
data.frame(model = c("config", "weak", "strong", "LGCM (i,s)", "LGCM (i,s,q)"), ., row.names = NULL) %>%
knitr::kable()| model | chisq | df | pvalue | cfi.robust | tli.robust | rmsea.robust | rmsea.ci.lower.robust | rmsea.ci.upper.robust | srmr |
|---|---|---|---|---|---|---|---|---|---|
| config | 433.417 | 105 | 0 | 0.996 | 0.993 | 0.019 | 0.017 | 0.021 | 0.013 |
| weak | 989.340 | 117 | 0 | 0.990 | 0.981 | 0.031 | 0.029 | 0.033 | 0.038 |
| strong | 3171.142 | 129 | 0 | 0.967 | 0.947 | 0.053 | 0.051 | 0.054 | 0.063 |
| LGCM (i,s) | 7653.172 | 151 | 0 | 0.915 | 0.882 | 0.078 | 0.076 | 0.080 | 0.103 |
| LGCM (i,s,q) | 5230.071 | 147 | 0 | 0.945 | 0.921 | 0.064 | 0.062 | 0.065 | 0.073 |
Parallel Latent Growth Curve Modeling
p factor model
pc ~ pp + g + pu model
Children’s psychopathology (pc) was regressed on parental psychopathology (pp), children’s cognitive functioning (g) and children’s puberty (pu).
model fit
pga_pu6.model <- "# second-order pp factor
#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#observed variable intercepts
asr_anxdep_comp_0~tau_AX*1
asr_withdep_comp_0~tau_AW*1
asr_soma_comp_0~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_attprob_comp_0~tau_AH*1
asr_rulebreak_comp_0~tau_AA*1
asr_aggress_comp_0~tau_AR*1
asr_intru_comp_0~tau_AG*1
asr_anxdep_comp_2~tau_AX*1
asr_withdep_comp_2~tau_AW*1
asr_soma_comp_2~tau_AS*1
asr_thouprob_comp_2~tau_AP*1
asr_attprob_comp_2~tau_AH*1
asr_rulebreak_comp_2~tau_AA*1
asr_aggress_comp_2~tau_AR*1
asr_intru_comp_2~tau_AG*1
asr_anxdep_comp_4~tau_AX*1
asr_withdep_comp_4~tau_AW*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_4~tau_AP*1
asr_attprob_comp_4~tau_AH*1
asr_rulebreak_comp_4~tau_AA*1
asr_aggress_comp_4~tau_AR*1
asr_intru_comp_4~tau_AG*1
#latent basis model
a_i =~ 1*a_etaB+1*a_eta2+1*a_eta4
a_s =~ 0*a_etaB+1*a_eta2+2*a_eta4
a_i~~NA*a_i
a_s~~NA*a_s
a_i~~a_s
a_i~1
a_s~1
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
# second-order pc factor
#factor loadings (with constraints)
p_etaB =~ 1*anxdep_comp_0+
lambda_CW*withdep_comp_0+
lambda_CS*soma_comp_0+
lambda_CC*socprob_comp_0+
lambda_CH*thouprob_comp_0+
lambda_CA*attprob_comp_0+
lambda_CR*rulebreak_comp_0+
lambda_CG*aggress_comp_0
p_eta1 =~ 1*anxdep_comp_1+
lambda_CW*withdep_comp_1+
lambda_CS*soma_comp_1+
lambda_CC*socprob_comp_1+
lambda_CH*thouprob_comp_1+
lambda_CA*attprob_comp_1+
lambda_CR*rulebreak_comp_1+
lambda_CG*aggress_comp_1
p_eta2 =~ 1*anxdep_comp_2+
lambda_CW*withdep_comp_2+
lambda_CS*soma_comp_2+
lambda_CC*socprob_comp_2+
lambda_CH*thouprob_comp_2+
lambda_CA*attprob_comp_2+
lambda_CR*rulebreak_comp_2+
lambda_CG*aggress_comp_2
p_eta3 =~ 1*anxdep_comp_3+
lambda_CW*withdep_comp_3+
lambda_CS*soma_comp_3+
lambda_CC*socprob_comp_3+
lambda_CH*thouprob_comp_3+
lambda_CA*attprob_comp_3+
lambda_CR*rulebreak_comp_3+
lambda_CG*aggress_comp_3
p_eta4 =~ 1*anxdep_comp_4+
lambda_CW*withdep_comp_4+
lambda_CS*soma_comp_4+
lambda_CC*socprob_comp_4+
lambda_CH*thouprob_comp_4+
lambda_CA*attprob_comp_4+
lambda_CR*rulebreak_comp_4+
lambda_CG*aggress_comp_4
p_eta5 =~ 1*anxdep_comp_5+
lambda_CW*withdep_comp_5+
lambda_CS*soma_comp_5+
lambda_CC*socprob_comp_5+
lambda_CH*thouprob_comp_5+
lambda_CA*attprob_comp_5+
lambda_CR*rulebreak_comp_5+
lambda_CG*aggress_comp_5
p_eta6 =~ 1*anxdep_comp_6+
lambda_CW*withdep_comp_6+
lambda_CS*soma_comp_6+
lambda_CC*socprob_comp_6+
lambda_CH*thouprob_comp_6+
lambda_CA*attprob_comp_6+
lambda_CR*rulebreak_comp_6+
lambda_CG*aggress_comp_6
#latent variable variances
p_etaB~~NA*p_etaB
p_eta1~~NA*p_eta1
p_eta2~~NA*p_eta2
p_eta3~~NA*p_eta3
p_eta4~~NA*p_eta4
p_eta5~~NA*p_eta5
p_eta6~~NA*p_eta6
#unique variances # No need to constrict these
anxdep_comp_0~~anxdep_comp_0
withdep_comp_0~~withdep_comp_0
soma_comp_0~~soma_comp_0
socprob_comp_0~~socprob_comp_0
thouprob_comp_0~~thouprob_comp_0
attprob_comp_0~~attprob_comp_0
rulebreak_comp_0~~rulebreak_comp_0
aggress_comp_0~~aggress_comp_0
anxdep_comp_1~~anxdep_comp_1
withdep_comp_1~~withdep_comp_1
soma_comp_1~~soma_comp_1
socprob_comp_1~~socprob_comp_1
thouprob_comp_1~~thouprob_comp_1
attprob_comp_1~~attprob_comp_1
rulebreak_comp_1~~rulebreak_comp_1
aggress_comp_1~~aggress_comp_1
anxdep_comp_2~~anxdep_comp_2
withdep_comp_2~~withdep_comp_2
soma_comp_2~~soma_comp_2
socprob_comp_2~~socprob_comp_2
thouprob_comp_2~~thouprob_comp_2
attprob_comp_2~~attprob_comp_2
rulebreak_comp_2~~rulebreak_comp_2
aggress_comp_2~~aggress_comp_2
anxdep_comp_3~~anxdep_comp_3
withdep_comp_3~~withdep_comp_3
soma_comp_3~~soma_comp_3
socprob_comp_3~~socprob_comp_3
thouprob_comp_3~~thouprob_comp_3
attprob_comp_3~~attprob_comp_3
rulebreak_comp_3~~rulebreak_comp_3
aggress_comp_3~~aggress_comp_3
anxdep_comp_4~~anxdep_comp_4
withdep_comp_4~~withdep_comp_4
soma_comp_4~~soma_comp_4
socprob_comp_4~~socprob_comp_4
thouprob_comp_4~~thouprob_comp_4
attprob_comp_4~~attprob_comp_4
rulebreak_comp_4~~rulebreak_comp_4
aggress_comp_4~~aggress_comp_4
anxdep_comp_5~~anxdep_comp_5
withdep_comp_5~~withdep_comp_5
soma_comp_5~~soma_comp_5
socprob_comp_5~~socprob_comp_5
thouprob_comp_5~~thouprob_comp_5
attprob_comp_5~~attprob_comp_5
rulebreak_comp_5~~rulebreak_comp_5
aggress_comp_5~~aggress_comp_5
anxdep_comp_6~~anxdep_comp_6
withdep_comp_6~~withdep_comp_6
soma_comp_6~~soma_comp_6
socprob_comp_6~~socprob_comp_6
thouprob_comp_6~~thouprob_comp_6
attprob_comp_6~~attprob_comp_6
rulebreak_comp_6~~rulebreak_comp_6
aggress_comp_6~~aggress_comp_6
#unique covariances
# Scores arcoss times
anxdep_comp_0~~anxdep_comp_1 + anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_1~~anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_2~~anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_3~~anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_4~~anxdep_comp_5+ anxdep_comp_6
anxdep_comp_5~~anxdep_comp_6
withdep_comp_0~~withdep_comp_1 + withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_1~~withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_2~~withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_3~~withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_4~~withdep_comp_5 + withdep_comp_6
withdep_comp_5~~withdep_comp_6
soma_comp_0~~soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_1~~soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_2~~soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_3~~soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_4~~soma_comp_5 + soma_comp_6
soma_comp_5~~soma_comp_6
socprob_comp_0~~socprob_comp_1 + socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_1~~socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_2~~socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_3~~socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_4~~socprob_comp_5 + socprob_comp_6
socprob_comp_5~~socprob_comp_6
thouprob_comp_0~~thouprob_comp_1 + thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_1~~thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_2~~thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_3~~thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_4~~thouprob_comp_5 + thouprob_comp_6
thouprob_comp_5~~thouprob_comp_6
attprob_comp_0~~attprob_comp_1 + attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_1~~attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_2~~attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_3~~attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_4~~attprob_comp_5 + attprob_comp_6
attprob_comp_5~~attprob_comp_6
rulebreak_comp_0~~rulebreak_comp_1 + rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_1~~rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_2~~rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_3~~rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_4~~rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_5~~rulebreak_comp_6
aggress_comp_0~~aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_1~~aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_2~~aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_3~~aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_4~~aggress_comp_5 + aggress_comp_6
aggress_comp_5~~aggress_comp_6
# Internalizeing subscale covariances
anxdep_comp_0~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_1~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_2~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_3~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_4~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_5~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_6~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
withdep_comp_0~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_1~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_2~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_3~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_4~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_5~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_6~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
# Externalizeing subscale covariances
rulebreak_comp_0~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_1~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_2~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_3~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_4~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_5~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_6~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
#observed variable intercepts
anxdep_comp_0~tau_CX*1
anxdep_comp_1~tau_CX*1
anxdep_comp_2~tau_CX*1
anxdep_comp_3~tau_CX*1
anxdep_comp_4~tau_CX*1
anxdep_comp_5~tau_CX*1
anxdep_comp_6~tau_CX*1
withdep_comp_0~tau_CW*1
withdep_comp_1~tau_CW*1
withdep_comp_2~tau_CW*1
withdep_comp_3~tau_CW*1
withdep_comp_4~tau_CW*1
withdep_comp_5~tau_CW*1
withdep_comp_6~tau_CW*1
soma_comp_0~tau_CS*1
soma_comp_1~tau_CS*1
soma_comp_2~tau_CS*1
soma_comp_3~tau_CS*1
soma_comp_4~tau_CS*1
soma_comp_5~tau_CS*1
soma_comp_6~tau_CS*1
socprob_comp_0~tau_CP*1
socprob_comp_1~tau_CP*1
socprob_comp_2~tau_CP*1
socprob_comp_3~tau_CP*1
socprob_comp_4~tau_CP*1
socprob_comp_5~tau_CP*1
socprob_comp_6~tau_CP*1
thouprob_comp_0~tau_CH*1
thouprob_comp_1~tau_CH*1
thouprob_comp_2~tau_CH*1
thouprob_comp_3~tau_CH*1
thouprob_comp_4~tau_CH*1
thouprob_comp_5~tau_CH*1
thouprob_comp_6~tau_CH*1
attprob_comp_0~tau_CA*1
attprob_comp_1~tau_CA*1
attprob_comp_2~tau_CA*1
attprob_comp_3~tau_CA*1
attprob_comp_4~tau_CA*1
attprob_comp_5~tau_CA*1
attprob_comp_6~tau_CA*1
rulebreak_comp_0~tau_CR*1
rulebreak_comp_1~tau_CR*1
rulebreak_comp_2~tau_CR*1
rulebreak_comp_3~tau_CR*1
rulebreak_comp_4~tau_CR*1
rulebreak_comp_5~tau_CR*1
rulebreak_comp_6~tau_CR*1
aggress_comp_0~tau_CG*1
aggress_comp_1~tau_CG*1
aggress_comp_2~tau_CG*1
aggress_comp_3~tau_CG*1
aggress_comp_4~tau_CG*1
aggress_comp_5~tau_CG*1
aggress_comp_6~tau_CG*1
#latent basis model
p_i =~ 1*p_etaB + 1*p_eta1 + 1*p_eta2 + 1*p_eta3 + 1*p_eta4 + 1*p_eta5 + 1*p_eta6
p_s =~ 0*p_etaB + .5*p_eta1 + 1*p_eta2 + 1.5*p_eta3 + 2*p_eta4 + 2.5*p_eta5 + 3*p_eta6
p_q =~ 0*p_etaB + .25*p_eta1 + 1*p_eta2 + 2.25*p_eta3 + 4*p_eta4 + 6.25*p_eta5 + 9*p_eta6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1
p_s~1
p_q~1
p_etaB ~ 0*1
p_eta1 ~ 0*1
p_eta2 ~ 0*1
p_eta3 ~ 0*1
p_eta4 ~ 0*1
p_eta5 ~ 0*1
p_eta6 ~ 0*1
# second-order g factor
#factor loadings # S & S2
g_etaB =~ 1*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ 1*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ 1*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ 1*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances
g_etaB~~NA*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1
#latent basis model
g_i =~ 1*g_etaB + 1*g_eta2 + 1*g_eta4 + 1*g_eta6
g_s =~ 0*g_etaB + 1*g_eta2 + 2*g_eta4 + 3*g_eta6
g_i~~NA*g_i
g_s~~NA*g_s
g_i~~g_s
g_i~1
g_s~1
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
# second-order puberty factor
#factor loadings
pu_etaB =~ 1*ph_p_pds_001_0 +
lambda_PR*ph_p_pds_002_0 +
lambda_PM*ph_p_pds_003_0
pu_eta1 =~ 1*ph_p_pds_001_1 +
lambda_PR*ph_p_pds_002_1 +
lambda_PM*ph_p_pds_003_1
pu_eta2 =~ 1*ph_p_pds_001_2 +
lambda_PR*ph_p_pds_002_2 +
lambda_PM*ph_p_pds_003_2
pu_eta3 =~ 1*ph_p_pds_001_3 +
lambda_PR*ph_p_pds_002_3 +
lambda_PM*ph_p_pds_003_3
pu_eta4 =~ 1*ph_p_pds_001_4 +
lambda_PR*ph_p_pds_002_4 +
lambda_PM*ph_p_pds_003_4
pu_eta5 =~ 1*ph_p_pds_001_5 +
lambda_PR*ph_p_pds_002_5 +
lambda_PM*ph_p_pds_003_5
pu_eta6 =~ 1*ph_p_pds_001_6 +
lambda_PR*ph_p_pds_002_6 +
lambda_PM*ph_p_pds_003_6
#latent variable variances
pu_etaB~~NA*pu_etaB
pu_eta1~~NA*pu_eta1
pu_eta2~~NA*pu_eta2
pu_eta3~~NA*pu_eta3
pu_eta4~~NA*pu_eta4
pu_eta5~~NA*pu_eta5
pu_eta6~~NA*pu_eta6
#unique variances
ph_p_pds_001_0 ~~ ph_p_pds_001_0
ph_p_pds_002_0 ~~ ph_p_pds_002_0
ph_p_pds_003_0 ~~ ph_p_pds_003_0
ph_p_pds_001_1 ~~ ph_p_pds_001_1
ph_p_pds_002_1 ~~ ph_p_pds_002_1
ph_p_pds_003_1 ~~ ph_p_pds_003_1
ph_p_pds_001_2 ~~ ph_p_pds_001_2
ph_p_pds_002_2 ~~ ph_p_pds_002_2
ph_p_pds_003_2 ~~ ph_p_pds_003_2
ph_p_pds_001_3 ~~ ph_p_pds_001_3
ph_p_pds_002_3 ~~ ph_p_pds_002_3
ph_p_pds_003_3 ~~ ph_p_pds_003_3
ph_p_pds_001_4 ~~ ph_p_pds_001_4
ph_p_pds_002_4 ~~ ph_p_pds_002_4
ph_p_pds_003_4 ~~ ph_p_pds_003_4
ph_p_pds_001_5 ~~ ph_p_pds_001_5
ph_p_pds_002_5 ~~ ph_p_pds_002_5
ph_p_pds_003_5 ~~ ph_p_pds_003_5
ph_p_pds_001_6 ~~ ph_p_pds_001_6
ph_p_pds_002_6 ~~ ph_p_pds_002_6
ph_p_pds_003_6 ~~ ph_p_pds_003_6
#unique covariances
ph_p_pds_001_0 ~~ ph_p_pds_001_1 + ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_1 ~~ ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_2 ~~ ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_3 ~~ ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_4 ~~ ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_5 ~~ ph_p_pds_001_6
ph_p_pds_002_0 ~~ ph_p_pds_002_1 + ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_1 ~~ ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_2 ~~ ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_3 ~~ ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_4 ~~ ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_5 ~~ ph_p_pds_002_6
ph_p_pds_003_0 ~~ ph_p_pds_003_1 + ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_1 ~~ ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_2 ~~ ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_3 ~~ ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_4 ~~ ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_5 ~~ ph_p_pds_003_6
#observed variable intercepts
ph_p_pds_001_0 ~ tau_PS*1
ph_p_pds_001_1 ~ tau_PS*1
ph_p_pds_001_2 ~ tau_PS*1
ph_p_pds_001_3 ~ tau_PS*1
ph_p_pds_001_4 ~ tau_PS*1
ph_p_pds_001_5 ~ tau_PS*1
ph_p_pds_001_6 ~ tau_PS*1
ph_p_pds_002_0 ~ tau_PR*1
ph_p_pds_002_1 ~ tau_PR*1
ph_p_pds_002_2 ~ tau_PR*1
ph_p_pds_002_3 ~ tau_PR*1
ph_p_pds_002_4 ~ tau_PR*1
ph_p_pds_002_5 ~ tau_PR*1
ph_p_pds_002_6 ~ tau_PR*1
ph_p_pds_003_0 ~ tau_PM*1
ph_p_pds_003_1 ~ tau_PM*1
ph_p_pds_003_2 ~ tau_PM*1
ph_p_pds_003_3 ~ tau_PM*1
ph_p_pds_003_4 ~ tau_PM*1
ph_p_pds_003_5 ~ tau_PM*1
ph_p_pds_003_6 ~ tau_PM*1
#latent basis model
pu_i =~ 1*pu_etaB + 1*pu_eta1 + 1*pu_eta2 + 1*pu_eta3 + 1*pu_eta4 + 1*pu_eta5 + 1*pu_eta6
pu_s =~ 0*pu_etaB + 0.5*pu_eta1 + 1*pu_eta2 + 1.5*pu_eta3 + 2*pu_eta4 + 2.5*pu_eta5 + 3*pu_eta6
pu_q =~ 0*pu_etaB + 0.25*pu_eta1 + 1*pu_eta2 + 2.25*pu_eta3 + 4*pu_eta4 + 6.25*pu_eta5 + 9*pu_eta6
pu_i~~NA*pu_i
pu_s~~NA*pu_s
pu_q~~NA*pu_q
pu_i~~pu_s + pu_q
pu_s~~pu_q
pu_i~1
pu_s~1
pu_q~1
pu_etaB~0*1
pu_eta1~0*1
pu_eta2~0*1
pu_eta3~0*1
pu_eta4~0*1
pu_eta5~0*1
pu_eta6~0*1
# regression
p_i ~ g_i + a_i + pu_i
p_s ~ g_i + g_s + a_i + a_s + pu_i + pu_s + pu_q
p_q ~ g_i + g_s + a_i + a_s + pu_i + pu_s + pu_q"lavaan(pga_pu6.model,
data = readRDS("pga6_all_data.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = FALSE,
std.lv = T
) %>%
saveRDS("pgcm_pga_pu6_model.rds")readRDS("pgcm_pga_pu6_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_pga_pu6_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_pga_pu6_model.rds"), "cor.lv"))$value [1] 7.941735165 5.873544221 4.663710903 3.215162067 2.266416009 1.362389311
[7] 0.991042169 0.957796667 0.723862640 0.374227586 0.228308782 0.226163162
[13] 0.221604464 0.217274941 0.212459693 0.200529705 0.189508016 0.186246649
[19] 0.158770791 0.156845682 0.137563251 0.119248706 0.096888619 0.079368548
[25] 0.059030451 0.052818067 0.039487905 0.022274074 0.016405781 0.006576099
[31] 0.002739878
readRDS("pgcm_pga_pu6_result.rds")lavaan 0.6-19 ended normally after 392 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 959
Number of equality constraints 177
Used Total
Number of observations 11866 11867
Number of missing patterns 2197
Model Test User Model:
Test statistic 50082.093
Degrees of freedom 6720
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 896904.633
Degrees of freedom 7260
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.951
Tucker-Lewis Index (TLI) 0.947
Robust Comparative Fit Index (CFI) 0.950
Robust Tucker-Lewis Index (TLI) 0.946
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -1155765.244
Loglikelihood unrestricted model (H1) -1130724.197
Akaike (AIC) 2313094.488
Bayesian (BIC) 2318866.768
Sample-size adjusted Bayesian (SABIC) 2316381.662
Root Mean Square Error of Approximation:
RMSEA 0.023
90 Percent confidence interval - lower 0.023
90 Percent confidence interval - upper 0.024
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.027
90 Percent confidence interval - lower 0.027
90 Percent confidence interval - upper 0.027
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.054
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.842 0.833
asr___0 (l_AW) 0.891 0.007 126.533 0.000 0.750 0.733
asr___0 (l_AS) 0.799 0.007 112.096 0.000 0.673 0.672
asr___0 (l_AC) 0.930 0.007 125.429 0.000 0.783 0.752
asr___0 (l_AH) 0.907 0.007 131.142 0.000 0.764 0.767
asr___0 (l_AA) 0.779 0.008 98.164 0.000 0.656 0.628
asr___0 (l_AR) 0.921 0.007 125.134 0.000 0.776 0.757
asr___0 (l_AG) 0.489 0.008 59.992 0.000 0.412 0.399
a_eta2 =~
asr___2 1.000 0.832 0.819
asr___2 (l_AW) 0.891 0.007 126.533 0.000 0.741 0.730
asr___2 (l_AS) 0.799 0.007 112.096 0.000 0.665 0.664
asr___2 (l_AC) 0.930 0.007 125.429 0.000 0.773 0.770
asr___2 (l_AH) 0.907 0.007 131.142 0.000 0.755 0.773
asr___2 (l_AA) 0.779 0.008 98.164 0.000 0.648 0.640
asr___2 (l_AR) 0.921 0.007 125.134 0.000 0.766 0.758
asr___2 (l_AG) 0.489 0.008 59.992 0.000 0.407 0.409
a_eta4 =~
asr___4 1.000 0.800 0.803
asr___4 (l_AW) 0.891 0.007 126.533 0.000 0.713 0.724
asr___4 (l_AS) 0.799 0.007 112.096 0.000 0.640 0.652
asr___4 (l_AC) 0.930 0.007 125.429 0.000 0.744 0.768
asr___4 (l_AH) 0.907 0.007 131.142 0.000 0.726 0.746
asr___4 (l_AA) 0.779 0.008 98.164 0.000 0.623 0.640
asr___4 (l_AR) 0.921 0.007 125.134 0.000 0.737 0.752
asr___4 (l_AG) 0.489 0.008 59.992 0.000 0.391 0.400
a_i =~
a_etaB 1.000 0.926 0.926
a_eta2 1.000 0.937 0.937
a_eta4 1.000 0.974 0.974
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.302 0.302
a_eta4 2.000 0.627 0.627
p_etaB =~
anxd__0 1.000 0.741 0.720
wthd__0 (l_CW) 0.864 0.006 141.011 0.000 0.640 0.709
sm_cm_0 (l_CS) 0.739 0.007 110.883 0.000 0.548 0.550
scpr__0 (l_CC) 1.119 0.007 153.873 0.000 0.829 0.788
thpr__0 (l_CH) 1.104 0.007 152.374 0.000 0.818 0.788
attp__0 (l_CA) 0.995 0.007 142.719 0.000 0.737 0.737
rlbr__0 (l_CR) 0.858 0.007 120.353 0.000 0.635 0.676
aggr__0 (l_CG) 1.066 0.007 147.072 0.000 0.790 0.755
p_eta1 =~
anxd__1 1.000 0.736 0.712
wthd__1 (l_CW) 0.864 0.006 141.011 0.000 0.635 0.695
sm_cm_1 (l_CS) 0.739 0.007 110.883 0.000 0.544 0.545
scpr__1 (l_CC) 1.119 0.007 153.873 0.000 0.823 0.797
thpr__1 (l_CH) 1.104 0.007 152.374 0.000 0.812 0.782
attp__1 (l_CA) 0.995 0.007 142.719 0.000 0.732 0.738
rlbr__1 (l_CR) 0.858 0.007 120.353 0.000 0.631 0.673
aggr__1 (l_CG) 1.066 0.007 147.072 0.000 0.784 0.763
p_eta2 =~
anxd__2 1.000 0.728 0.717
wthd__2 (l_CW) 0.864 0.006 141.011 0.000 0.628 0.654
sm_cm_2 (l_CS) 0.739 0.007 110.883 0.000 0.538 0.558
scpr__2 (l_CC) 1.119 0.007 153.873 0.000 0.814 0.809
thpr__2 (l_CH) 1.104 0.007 152.374 0.000 0.803 0.797
attp__2 (l_CA) 0.995 0.007 142.719 0.000 0.724 0.744
rlbr__2 (l_CR) 0.858 0.007 120.353 0.000 0.624 0.662
aggr__2 (l_CG) 1.066 0.007 147.072 0.000 0.776 0.767
p_eta3 =~
anxd__3 1.000 0.720 0.705
wthd__3 (l_CW) 0.864 0.006 141.011 0.000 0.622 0.603
sm_cm_3 (l_CS) 0.739 0.007 110.883 0.000 0.532 0.553
scpr__3 (l_CC) 1.119 0.007 153.873 0.000 0.806 0.819
thpr__3 (l_CH) 1.104 0.007 152.374 0.000 0.796 0.804
attp__3 (l_CA) 0.995 0.007 142.719 0.000 0.717 0.743
rlbr__3 (l_CR) 0.858 0.007 120.353 0.000 0.618 0.648
aggr__3 (l_CG) 1.066 0.007 147.072 0.000 0.768 0.768
p_eta4 =~
anxd__4 1.000 0.708 0.709
wthd__4 (l_CW) 0.864 0.006 141.011 0.000 0.612 0.561
sm_cm_4 (l_CS) 0.739 0.007 110.883 0.000 0.524 0.522
scpr__4 (l_CC) 1.119 0.007 153.873 0.000 0.793 0.821
thpr__4 (l_CH) 1.104 0.007 152.374 0.000 0.782 0.808
attp__4 (l_CA) 0.995 0.007 142.719 0.000 0.705 0.752
rlbr__4 (l_CR) 0.858 0.007 120.353 0.000 0.608 0.586
aggr__4 (l_CG) 1.066 0.007 147.072 0.000 0.755 0.786
p_eta5 =~
anxd__5 1.000 0.706 0.699
wthd__5 (l_CW) 0.864 0.006 141.011 0.000 0.610 0.541
sm_cm_5 (l_CS) 0.739 0.007 110.883 0.000 0.522 0.488
scpr__5 (l_CC) 1.119 0.007 153.873 0.000 0.790 0.822
thpr__5 (l_CH) 1.104 0.007 152.374 0.000 0.780 0.786
attp__5 (l_CA) 0.995 0.007 142.719 0.000 0.702 0.744
rlbr__5 (l_CR) 0.858 0.007 120.353 0.000 0.606 0.524
aggr__5 (l_CG) 1.066 0.007 147.072 0.000 0.753 0.784
p_eta6 =~
anxd__6 1.000 0.671 0.699
wthd__6 (l_CW) 0.864 0.006 141.011 0.000 0.580 0.536
sm_cm_6 (l_CS) 0.739 0.007 110.883 0.000 0.496 0.465
scpr__6 (l_CC) 1.119 0.007 153.873 0.000 0.751 0.829
thpr__6 (l_CH) 1.104 0.007 152.374 0.000 0.741 0.805
attp__6 (l_CA) 0.995 0.007 142.719 0.000 0.668 0.738
rlbr__6 (l_CR) 0.858 0.007 120.353 0.000 0.576 0.496
aggr__6 (l_CG) 1.066 0.007 147.072 0.000 0.716 0.796
p_i =~
p_etaB 1.000 0.925 0.925
p_eta1 1.000 0.932 0.932
p_eta2 1.000 0.942 0.942
p_eta3 1.000 0.951 0.951
p_eta4 1.000 0.967 0.967
p_eta5 1.000 0.970 0.970
p_eta6 1.000 1.021 1.021
p_s =~
p_etaB 0.000 0.000 0.000
p_eta1 0.500 0.290 0.290
p_eta2 1.000 0.586 0.586
p_eta3 1.500 0.887 0.887
p_eta4 2.000 1.203 1.203
p_eta5 2.500 1.509 1.509
p_eta6 3.000 1.905 1.905
p_q =~
p_etaB 0.000 0.000 0.000
p_eta1 0.250 0.042 0.042
p_eta2 1.000 0.169 0.169
p_eta3 2.250 0.384 0.384
p_eta4 4.000 0.694 0.694
p_eta5 6.250 1.089 1.089
p_eta6 9.000 1.649 1.649
g_etaB =~
flnkr_0 1.000 0.404 0.439
pttrn_0 (lm_R) 1.217 0.011 112.943 0.000 0.491 0.645
pictr_0 (lm_M) 0.599 0.009 64.822 0.000 0.242 0.287
pcvcb_0 (lm_P) 0.928 0.009 107.804 0.000 0.375 0.447
redng_0 (lm_V) 0.981 0.009 111.532 0.000 0.396 0.463
g_eta2 =~
flnkr_2 1.000 0.413 0.518
pttrn_2 (lm_R) 1.217 0.011 112.943 0.000 0.502 0.652
pictr_2 (lm_M) 0.599 0.009 64.822 0.000 0.247 0.277
pcvcb_2 (lm_P) 0.928 0.009 107.804 0.000 0.383 0.438
redng_2 (lm_V) 0.981 0.009 111.532 0.000 0.405 0.480
g_eta4 =~
flnkr_4 1.000 0.443 0.558
pttrn_4 (lm_R) 1.217 0.011 112.943 0.000 0.539 0.655
pictr_4 (lm_M) 0.599 0.009 64.822 0.000 0.265 0.250
pcvcb_4 (lm_P) 0.928 0.009 107.804 0.000 0.411 0.444
redng_4 (lm_V) 0.981 0.009 111.532 0.000 0.434 0.470
g_eta6 =~
flnkr_6 1.000 0.496 0.609
pttrn_6 (lm_R) 1.217 0.011 112.943 0.000 0.603 0.705
pictr_6 (lm_M) 0.599 0.009 64.822 0.000 0.297 0.280
pcvcb_6 (lm_P) 0.928 0.009 107.804 0.000 0.460 0.492
redng_6 (lm_V) 0.981 0.009 111.532 0.000 0.486 0.501
g_i =~
g_etaB 1.000 0.963 0.963
g_eta2 1.000 0.942 0.942
g_eta4 1.000 0.878 0.878
g_eta6 1.000 0.784 0.784
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.127 0.127
g_eta4 2.000 0.236 0.236
g_eta6 3.000 0.317 0.317
pu_etaB =~
p___001 1.000 0.439 0.394
p___002 (l_PR) 1.334 0.010 140.258 0.000 0.586 0.724
p___003 (l_PM) 1.262 0.009 134.956 0.000 0.555 0.699
pu_eta1 =~
p___001 1.000 0.482 0.470
p___002 (l_PR) 1.334 0.010 140.258 0.000 0.643 0.748
p___003 (l_PM) 1.262 0.009 134.956 0.000 0.608 0.691
pu_eta2 =~
p___001 1.000 0.494 0.533
p___002 (l_PR) 1.334 0.010 140.258 0.000 0.660 0.774
p___003 (l_PM) 1.262 0.009 134.956 0.000 0.624 0.698
pu_eta3 =~
p___001 1.000 0.490 0.584
p___002 (l_PR) 1.334 0.010 140.258 0.000 0.654 0.816
p___003 (l_PM) 1.262 0.009 134.956 0.000 0.619 0.719
pu_eta4 =~
p___001 1.000 0.458 0.610
p___002 (l_PR) 1.334 0.010 140.258 0.000 0.611 0.848
p___003 (l_PM) 1.262 0.009 134.956 0.000 0.578 0.734
pu_eta5 =~
p___001 1.000 0.397 0.568
p___002 (l_PR) 1.334 0.010 140.258 0.000 0.529 0.841
p___003 (l_PM) 1.262 0.009 134.956 0.000 0.500 0.709
pu_eta6 =~
p___001 1.000 0.346 0.512
p___002 (l_PR) 1.334 0.010 140.258 0.000 0.462 0.825
p___003 (l_PM) 1.262 0.009 134.956 0.000 0.437 0.671
pu_i =~
pu_etaB 1.000 0.977 0.977
pu_eta1 1.000 0.891 0.891
pu_eta2 1.000 0.868 0.868
pu_eta3 1.000 0.875 0.875
pu_eta4 1.000 0.937 0.937
pu_eta5 1.000 1.082 1.082
pu_eta6 1.000 1.240 1.240
pu_s =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.500 0.414 0.414
pu_eta2 1.000 0.806 0.806
pu_eta3 1.500 1.219 1.219
pu_eta4 2.000 1.740 1.740
pu_eta5 2.500 2.512 2.512
pu_eta6 3.000 3.452 3.452
pu_q =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.250 0.062 0.062
pu_eta2 1.000 0.241 0.241
pu_eta3 2.250 0.548 0.548
pu_eta4 4.000 1.042 1.042
pu_eta5 6.250 1.881 1.881
pu_eta6 9.000 3.102 3.102
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i ~
g_i -0.272 0.019 -14.226 0.000 -0.154 -0.154
a_i 0.610 0.010 59.245 0.000 0.694 0.694
pu_i -0.022 0.017 -1.358 0.175 -0.014 -0.014
p_s ~
g_i 0.094 0.028 3.323 0.001 0.086 0.086
g_s -0.878 0.437 -2.012 0.044 -0.108 -0.108
a_i 0.014 0.012 1.171 0.241 0.025 0.025
a_s 1.287 0.065 19.846 0.000 0.758 0.758
pu_i -0.016 0.031 -0.530 0.596 -0.016 -0.016
pu_s -0.008 0.086 -0.088 0.930 -0.007 -0.007
pu_q -0.041 0.310 -0.133 0.894 -0.012 -0.012
p_q ~
g_i -0.020 0.009 -2.156 0.031 -0.064 -0.064
g_s 0.248 0.145 1.709 0.087 0.106 0.106
a_i -0.018 0.004 -4.896 0.000 -0.112 -0.112
a_s -0.317 0.019 -16.860 0.000 -0.647 -0.647
pu_i 0.027 0.010 2.583 0.010 0.093 0.093
pu_s 0.071 0.029 2.461 0.014 0.231 0.231
pu_q 0.219 0.105 2.094 0.036 0.212 0.212
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.181 0.005 36.999 0.000 0.181 0.557
.asr_nxdp_cmp_4 0.165 0.005 32.661 0.000 0.165 0.497
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.201 0.005 37.288 0.000 0.201 0.582
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.228 0.006 37.173 0.000 0.228 0.471
.asr_wthdp_cm_4 0.207 0.006 33.247 0.000 0.207 0.437
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.225 0.006 35.573 0.000 0.225 0.478
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.275 0.007 40.924 0.000 0.275 0.495
.asr_soma_cmp_4 0.239 0.007 35.085 0.000 0.239 0.433
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.282 0.007 39.219 0.000 0.282 0.506
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.192 0.005 35.455 0.000 0.192 0.437
.asr_thprb_cm_4 0.160 0.005 29.454 0.000 0.160 0.377
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.168 0.005 31.880 0.000 0.168 0.422
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.254 0.005 48.599 0.000 0.254 0.644
.asr_ttprb_cm_4 0.248 0.006 44.917 0.000 0.248 0.599
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.267 0.006 47.613 0.000 0.267 0.666
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.305 0.007 41.519 0.000 0.305 0.483
.asr_rlbrk_cm_4 0.261 0.007 35.958 0.000 0.261 0.429
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.283 0.007 38.848 0.000 0.283 0.487
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.243 0.006 43.311 0.000 0.243 0.551
.asr_ggrss_cm_4 0.220 0.006 39.257 0.000 0.220 0.508
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.248 0.006 42.704 0.000 0.248 0.582
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.495 0.010 51.817 0.000 0.495 0.576
.asr_intr_cmp_4 0.464 0.010 47.894 0.000 0.464 0.546
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.473 0.010 49.569 0.000 0.473 0.582
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.019 0.005 3.875 0.000 0.019 0.049
.asr_soma_cmp_0 0.026 0.005 5.106 0.000 0.026 0.063
.asr_wthdp_cm_2 0.019 0.005 3.936 0.000 0.019 0.049
.asr_soma_cmp_2 0.032 0.005 6.186 0.000 0.032 0.076
.asr_wthdp_cm_4 0.017 0.005 3.429 0.001 0.017 0.045
.asr_soma_cmp_4 0.030 0.005 5.663 0.000 0.030 0.073
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 0.009 0.005 1.826 0.068 0.009 0.022
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.025 0.005 4.802 0.000 0.025 0.057
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.035 0.005 6.786 0.000 0.035 0.088
.asr_soma_cmp_2 0.045 0.005 8.203 0.000 0.045 0.103
.asr_wthdp_cm_4 0.022 0.005 4.279 0.000 0.022 0.056
.asr_soma_cmp_4 0.027 0.006 4.834 0.000 0.027 0.061
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 0.001 0.005 0.174 0.862 0.001 0.002
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.024 0.005 4.316 0.000 0.024 0.053
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.016 0.005 3.100 0.002 0.016 0.040
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.042 0.006 7.410 0.000 0.042 0.094
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.041 0.006 7.411 0.000 0.041 0.101
.asr_soma_cmp_4 0.057 0.006 9.733 0.000 0.057 0.130
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.033 0.006 -5.720 0.000 -0.033 -0.063
.asr_soma_cmp_2 -0.020 0.006 -3.519 0.000 -0.020 -0.039
.asr_soma_cmp_4 -0.035 0.006 -5.701 0.000 -0.035 -0.067
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.014 0.006 -2.493 0.013 -0.014 -0.028
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.016 0.006 -2.723 0.006 -0.016 -0.031
.asr_soma_cmp_4 -0.023 0.006 -3.680 0.000 -0.023 -0.044
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.017 0.006 -2.820 0.005 -0.017 -0.033
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.021 0.006 -3.464 0.001 -0.021 -0.042
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.022 0.006 -3.586 0.000 -0.022 -0.044
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.131 0.007 19.507 0.000 0.131 0.207
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.073 0.006 12.314 0.000 0.073 0.134
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.084 0.006 13.036 0.000 0.084 0.139
.asr_rlbrk_cm_2 0.024 0.006 4.288 0.000 0.024 0.047
.asr_intr_cmp_4 0.093 0.007 13.898 0.000 0.093 0.154
.asr_rlbrk_cm_4 0.032 0.006 5.462 0.000 0.032 0.063
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.092 0.007 13.973 0.000 0.092 0.148
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.050 0.006 8.537 0.000 0.050 0.094
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.136 0.007 20.634 0.000 0.136 0.227
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.045 0.006 7.821 0.000 0.045 0.088
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.107 0.007 15.857 0.000 0.107 0.180
.asr_rlbrk_cm_4 0.042 0.006 7.268 0.000 0.042 0.086
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.095 0.007 13.976 0.000 0.095 0.155
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.056 0.006 9.303 0.000 0.056 0.107
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.102 0.007 15.316 0.000 0.102 0.174
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.047 0.006 7.877 0.000 0.047 0.093
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.136 0.007 20.035 0.000 0.136 0.235
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.064 0.006 10.868 0.000 0.064 0.132
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.119 0.008 15.468 0.000 0.119 0.155
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.067 0.007 8.993 0.000 0.067 0.091
.asr_rlbrk_cm_4 0.072 0.008 9.441 0.000 0.072 0.101
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.072 0.008 9.527 0.000 0.072 0.097
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.111 0.007 15.161 0.000 0.111 0.158
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.070 0.007 9.513 0.000 0.070 0.104
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.086 0.008 10.986 0.000 0.086 0.117
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.078 0.008 10.257 0.000 0.078 0.112
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.109 0.008 14.566 0.000 0.109 0.163
a_i ~~
a_s -0.080 0.004 -18.300 0.000 -0.410 -0.410
.anxdep_comp_0 ~~
.anxdep_comp_1 0.313 0.006 48.536 0.000 0.313 0.604
.anxdep_comp_2 0.275 0.006 44.612 0.000 0.275 0.545
.anxdep_comp_3 0.249 0.006 39.826 0.000 0.249 0.481
.anxdep_comp_4 0.222 0.006 36.360 0.000 0.222 0.442
.anxdep_comp_5 0.202 0.006 31.687 0.000 0.202 0.393
.anxdep_comp_6 0.181 0.007 25.111 0.000 0.181 0.370
.anxdep_comp_1 ~~
.anxdep_comp_2 0.304 0.006 47.285 0.000 0.304 0.594
.anxdep_comp_3 0.272 0.006 42.011 0.000 0.272 0.517
.anxdep_comp_4 0.233 0.006 37.021 0.000 0.233 0.455
.anxdep_comp_5 0.226 0.007 34.203 0.000 0.226 0.431
.anxdep_comp_6 0.197 0.007 26.422 0.000 0.197 0.395
.anxdep_comp_2 ~~
.anxdep_comp_3 0.316 0.007 48.050 0.000 0.316 0.617
.anxdep_comp_4 0.269 0.006 42.721 0.000 0.269 0.542
.anxdep_comp_5 0.251 0.007 38.454 0.000 0.251 0.491
.anxdep_comp_6 0.220 0.007 30.409 0.000 0.220 0.454
.anxdep_comp_3 ~~
.anxdep_comp_4 0.305 0.007 45.652 0.000 0.305 0.598
.anxdep_comp_5 0.286 0.007 41.325 0.000 0.286 0.547
.anxdep_comp_6 0.245 0.007 32.971 0.000 0.245 0.491
.anxdep_comp_4 ~~
.anxdep_comp_5 0.333 0.007 46.874 0.000 0.333 0.656
.anxdep_comp_6 0.271 0.008 36.045 0.000 0.271 0.560
.anxdep_comp_5 ~~
.anxdep_comp_6 0.309 0.008 38.900 0.000 0.309 0.623
.withdep_comp_0 ~~
.withdep_comp_1 0.234 0.005 44.816 0.000 0.234 0.560
.withdep_comp_2 0.197 0.005 36.650 0.000 0.197 0.425
.withdep_comp_3 0.161 0.006 27.245 0.000 0.161 0.307
.withdep_comp_4 0.125 0.007 19.102 0.000 0.125 0.218
.withdep_comp_5 0.105 0.007 14.660 0.000 0.105 0.173
.withdep_comp_6 0.083 0.008 10.105 0.000 0.083 0.143
.withdep_comp_1 ~~
.withdep_comp_2 0.256 0.006 44.503 0.000 0.256 0.535
.withdep_comp_3 0.234 0.006 37.022 0.000 0.234 0.433
.withdep_comp_4 0.199 0.007 28.679 0.000 0.199 0.335
.withdep_comp_5 0.180 0.008 23.978 0.000 0.180 0.289
.withdep_comp_6 0.145 0.008 17.152 0.000 0.145 0.242
.withdep_comp_2 ~~
.withdep_comp_3 0.336 0.007 45.571 0.000 0.336 0.560
.withdep_comp_4 0.309 0.008 38.476 0.000 0.309 0.470
.withdep_comp_5 0.286 0.009 33.119 0.000 0.286 0.414
.withdep_comp_6 0.240 0.010 24.378 0.000 0.240 0.361
.withdep_comp_3 ~~
.withdep_comp_4 0.440 0.010 45.779 0.000 0.440 0.591
.withdep_comp_5 0.425 0.010 41.524 0.000 0.425 0.544
.withdep_comp_6 0.355 0.011 31.881 0.000 0.355 0.472
.withdep_comp_4 ~~
.withdep_comp_5 0.560 0.012 47.263 0.000 0.560 0.653
.withdep_comp_6 0.474 0.013 37.641 0.000 0.474 0.575
.withdep_comp_5 ~~
.withdep_comp_6 0.570 0.014 41.327 0.000 0.570 0.658
.soma_comp_0 ~~
.soma_comp_1 0.354 0.008 45.808 0.000 0.354 0.509
.soma_comp_2 0.299 0.007 40.704 0.000 0.299 0.450
.soma_comp_3 0.265 0.007 36.074 0.000 0.265 0.398
.soma_comp_4 0.252 0.008 31.879 0.000 0.252 0.355
.soma_comp_5 0.248 0.009 27.826 0.000 0.248 0.320
.soma_comp_6 0.244 0.011 22.743 0.000 0.244 0.311
.soma_comp_1 ~~
.soma_comp_2 0.334 0.008 44.196 0.000 0.334 0.500
.soma_comp_3 0.291 0.008 38.568 0.000 0.291 0.434
.soma_comp_4 0.276 0.008 34.328 0.000 0.276 0.387
.soma_comp_5 0.280 0.009 30.757 0.000 0.280 0.358
.soma_comp_6 0.256 0.011 23.483 0.000 0.256 0.324
.soma_comp_2 ~~
.soma_comp_3 0.324 0.007 43.597 0.000 0.324 0.504
.soma_comp_4 0.303 0.008 38.288 0.000 0.303 0.443
.soma_comp_5 0.297 0.009 33.845 0.000 0.297 0.397
.soma_comp_6 0.273 0.010 26.446 0.000 0.273 0.361
.soma_comp_3 ~~
.soma_comp_4 0.339 0.008 41.254 0.000 0.339 0.494
.soma_comp_5 0.327 0.009 35.978 0.000 0.327 0.436
.soma_comp_6 0.313 0.011 29.637 0.000 0.313 0.412
.soma_comp_4 ~~
.soma_comp_5 0.442 0.010 43.329 0.000 0.442 0.553
.soma_comp_6 0.412 0.012 34.580 0.000 0.412 0.510
.soma_comp_5 ~~
.soma_comp_6 0.524 0.013 39.167 0.000 0.524 0.593
.socprob_comp_0 ~~
.socprob_comp_1 0.195 0.005 36.452 0.000 0.195 0.482
.socprob_comp_2 0.159 0.005 31.943 0.000 0.159 0.417
.socprob_comp_3 0.125 0.005 26.272 0.000 0.125 0.343
.socprob_comp_4 0.102 0.005 21.677 0.000 0.102 0.285
.socprob_comp_5 0.091 0.005 18.936 0.000 0.091 0.256
.socprob_comp_6 0.075 0.005 13.935 0.000 0.075 0.229
.socprob_comp_1 ~~
.socprob_comp_2 0.176 0.005 35.471 0.000 0.176 0.479
.socprob_comp_3 0.141 0.005 29.683 0.000 0.141 0.399
.socprob_comp_4 0.112 0.005 24.231 0.000 0.112 0.326
.socprob_comp_5 0.098 0.005 20.769 0.000 0.098 0.286
.socprob_comp_6 0.090 0.005 17.166 0.000 0.090 0.287
.socprob_comp_2 ~~
.socprob_comp_3 0.159 0.005 34.009 0.000 0.159 0.477
.socprob_comp_4 0.136 0.005 29.878 0.000 0.136 0.417
.socprob_comp_5 0.114 0.005 24.809 0.000 0.114 0.354
.socprob_comp_6 0.103 0.005 20.558 0.000 0.103 0.345
.socprob_comp_3 ~~
.socprob_comp_4 0.145 0.005 31.961 0.000 0.145 0.463
.socprob_comp_5 0.130 0.005 28.150 0.000 0.130 0.421
.socprob_comp_6 0.113 0.005 22.608 0.000 0.113 0.393
.socprob_comp_4 ~~
.socprob_comp_5 0.156 0.005 33.102 0.000 0.156 0.517
.socprob_comp_6 0.134 0.005 26.129 0.000 0.134 0.478
.socprob_comp_5 ~~
.socprob_comp_6 0.152 0.005 28.746 0.000 0.152 0.550
.thouprob_comp_0 ~~
.thouprob_cmp_1 0.200 0.005 37.826 0.000 0.200 0.483
.thouprob_cmp_2 0.160 0.005 32.389 0.000 0.160 0.411
.thouprob_cmp_3 0.135 0.005 28.096 0.000 0.135 0.359
.thouprob_cmp_4 0.118 0.005 24.671 0.000 0.118 0.323
.thouprob_cmp_5 0.114 0.005 21.926 0.000 0.114 0.290
.thouprob_cmp_6 0.085 0.006 14.729 0.000 0.085 0.243
.thouprob_comp_1 ~~
.thouprob_cmp_2 0.189 0.005 36.634 0.000 0.189 0.480
.thouprob_cmp_3 0.156 0.005 31.085 0.000 0.156 0.408
.thouprob_cmp_4 0.135 0.005 27.400 0.000 0.135 0.365
.thouprob_cmp_5 0.142 0.005 26.593 0.000 0.142 0.357
.thouprob_cmp_6 0.102 0.006 17.629 0.000 0.102 0.289
.thouprob_comp_2 ~~
.thouprob_cmp_3 0.161 0.005 33.216 0.000 0.161 0.450
.thouprob_cmp_4 0.134 0.005 28.418 0.000 0.134 0.386
.thouprob_cmp_5 0.134 0.005 26.146 0.000 0.134 0.358
.thouprob_cmp_6 0.094 0.006 16.899 0.000 0.094 0.282
.thouprob_comp_3 ~~
.thouprob_cmp_4 0.141 0.005 29.927 0.000 0.141 0.421
.thouprob_cmp_5 0.133 0.005 26.130 0.000 0.133 0.369
.thouprob_cmp_6 0.093 0.005 17.213 0.000 0.093 0.291
.thouprob_comp_4 ~~
.thouprob_cmp_5 0.173 0.005 33.263 0.000 0.173 0.495
.thouprob_cmp_6 0.127 0.005 23.182 0.000 0.127 0.408
.thouprob_comp_5 ~~
.thouprob_cmp_6 0.168 0.006 27.744 0.000 0.168 0.502
.attprob_comp_0 ~~
.attprob_comp_1 0.305 0.006 51.909 0.000 0.305 0.674
.attprob_comp_2 0.271 0.006 48.371 0.000 0.271 0.617
.attprob_comp_3 0.250 0.006 45.261 0.000 0.250 0.573
.attprob_comp_4 0.219 0.005 41.223 0.000 0.219 0.524
.attprob_comp_5 0.219 0.006 39.595 0.000 0.219 0.513
.attprob_comp_6 0.193 0.006 31.613 0.000 0.193 0.469
.attprob_comp_1 ~~
.attprob_comp_2 0.292 0.006 50.978 0.000 0.292 0.672
.attprob_comp_3 0.267 0.006 47.494 0.000 0.267 0.618
.attprob_comp_4 0.228 0.005 42.619 0.000 0.228 0.552
.attprob_comp_5 0.230 0.006 41.494 0.000 0.230 0.544
.attprob_comp_6 0.205 0.006 33.499 0.000 0.205 0.502
.attprob_comp_2 ~~
.attprob_comp_3 0.279 0.006 49.747 0.000 0.279 0.666
.attprob_comp_4 0.240 0.005 45.127 0.000 0.240 0.597
.attprob_comp_5 0.242 0.006 43.914 0.000 0.242 0.591
.attprob_comp_6 0.213 0.006 35.630 0.000 0.213 0.538
.attprob_comp_3 ~~
.attprob_comp_4 0.259 0.005 47.445 0.000 0.259 0.649
.attprob_comp_5 0.252 0.006 45.083 0.000 0.252 0.619
.attprob_comp_6 0.221 0.006 36.953 0.000 0.221 0.561
.attprob_comp_4 ~~
.attprob_comp_5 0.267 0.006 47.494 0.000 0.267 0.684
.attprob_comp_6 0.235 0.006 39.388 0.000 0.235 0.623
.attprob_comp_5 ~~
.attprob_comp_6 0.265 0.006 42.008 0.000 0.265 0.690
.rulebreak_comp_0 ~~
.rulebrek_cmp_1 0.293 0.006 50.111 0.000 0.293 0.610
.rulebrek_cmp_2 0.257 0.006 44.089 0.000 0.257 0.525
.rulebrek_cmp_3 0.240 0.006 39.755 0.000 0.240 0.477
.rulebrek_cmp_4 0.241 0.007 34.701 0.000 0.241 0.415
.rulebrek_cmp_5 0.268 0.008 32.504 0.000 0.268 0.394
.rulebrek_cmp_6 0.225 0.010 23.129 0.000 0.225 0.323
.rulebreak_comp_1 ~~
.rulebrek_cmp_2 0.282 0.006 47.033 0.000 0.282 0.576
.rulebrek_cmp_3 0.268 0.006 43.232 0.000 0.268 0.532
.rulebrek_cmp_4 0.279 0.007 39.164 0.000 0.279 0.479
.rulebrek_cmp_5 0.279 0.008 33.582 0.000 0.279 0.410
.rulebrek_cmp_6 0.253 0.010 25.401 0.000 0.253 0.361
.rulebreak_comp_2 ~~
.rulebrek_cmp_3 0.306 0.007 46.538 0.000 0.306 0.596
.rulebrek_cmp_4 0.301 0.007 40.712 0.000 0.301 0.507
.rulebrek_cmp_5 0.338 0.009 38.793 0.000 0.338 0.487
.rulebrek_cmp_6 0.315 0.010 30.585 0.000 0.315 0.443
.rulebreak_comp_3 ~~
.rulebrek_cmp_4 0.347 0.008 43.978 0.000 0.347 0.569
.rulebrek_cmp_5 0.367 0.009 39.748 0.000 0.367 0.515
.rulebrek_cmp_6 0.355 0.011 33.604 0.000 0.355 0.485
.rulebreak_comp_4 ~~
.rulebrek_cmp_5 0.534 0.011 47.482 0.000 0.534 0.646
.rulebrek_cmp_6 0.510 0.013 39.800 0.000 0.510 0.602
.rulebreak_comp_5 ~~
.rulebrek_cmp_6 0.711 0.015 45.907 0.000 0.711 0.718
.aggress_comp_0 ~~
.aggress_comp_1 0.300 0.006 49.890 0.000 0.300 0.658
.aggress_comp_2 0.270 0.006 46.645 0.000 0.270 0.606
.aggress_comp_3 0.233 0.006 41.274 0.000 0.233 0.532
.aggress_comp_4 0.205 0.005 38.602 0.000 0.205 0.502
.aggress_comp_5 0.198 0.005 36.383 0.000 0.198 0.484
.aggress_comp_6 0.161 0.006 27.947 0.000 0.161 0.430
.aggress_comp_1 ~~
.aggress_comp_2 0.278 0.006 48.277 0.000 0.278 0.644
.aggress_comp_3 0.247 0.006 43.988 0.000 0.247 0.582
.aggress_comp_4 0.210 0.005 40.070 0.000 0.210 0.530
.aggress_comp_5 0.197 0.005 36.878 0.000 0.197 0.497
.aggress_comp_6 0.162 0.006 28.446 0.000 0.162 0.447
.aggress_comp_2 ~~
.aggress_comp_3 0.270 0.006 47.284 0.000 0.270 0.649
.aggress_comp_4 0.221 0.005 42.054 0.000 0.221 0.571
.aggress_comp_5 0.215 0.005 40.059 0.000 0.215 0.553
.aggress_comp_6 0.182 0.006 32.410 0.000 0.182 0.514
.aggress_comp_3 ~~
.aggress_comp_4 0.242 0.005 44.814 0.000 0.242 0.635
.aggress_comp_5 0.224 0.005 41.211 0.000 0.224 0.587
.aggress_comp_6 0.192 0.006 34.305 0.000 0.192 0.551
.aggress_comp_4 ~~
.aggress_comp_5 0.238 0.005 44.613 0.000 0.238 0.669
.aggress_comp_6 0.198 0.005 36.347 0.000 0.198 0.610
.aggress_comp_5 ~~
.aggress_comp_6 0.223 0.006 38.916 0.000 0.223 0.685
.anxdep_comp_0 ~~
.withdep_comp_0 0.096 0.005 18.827 0.000 0.096 0.210
.soma_comp_0 0.111 0.006 17.872 0.000 0.111 0.187
.withdep_comp_1 0.079 0.005 15.433 0.000 0.079 0.169
.soma_comp_1 0.076 0.006 12.117 0.000 0.076 0.127
.withdep_comp_2 0.080 0.006 14.270 0.000 0.080 0.154
.soma_comp_2 0.070 0.006 11.581 0.000 0.070 0.122
.withdep_comp_3 0.093 0.007 14.235 0.000 0.093 0.158
.soma_comp_3 0.071 0.006 11.484 0.000 0.071 0.124
.withdep_comp_4 0.077 0.007 10.528 0.000 0.077 0.120
.soma_comp_4 0.079 0.007 11.775 0.000 0.079 0.130
.withdep_comp_5 0.073 0.008 9.047 0.000 0.073 0.108
.soma_comp_5 0.059 0.008 7.719 0.000 0.059 0.089
.withdep_comp_6 0.062 0.009 6.716 0.000 0.062 0.095
.soma_comp_6 0.064 0.009 6.812 0.000 0.064 0.095
.withdep_comp_0 ~~
.anxdep_comp_1 0.064 0.005 12.548 0.000 0.064 0.138
.soma_comp_0 ~~
.anxdep_comp_1 0.091 0.006 14.387 0.000 0.091 0.150
.anxdep_comp_1 ~~
.withdep_comp_1 0.099 0.005 18.549 0.000 0.099 0.208
.soma_comp_1 0.105 0.006 16.185 0.000 0.105 0.172
.withdep_comp_2 0.086 0.006 14.810 0.000 0.086 0.162
.soma_comp_2 0.076 0.006 12.337 0.000 0.076 0.131
.withdep_comp_3 0.107 0.007 15.987 0.000 0.107 0.178
.soma_comp_3 0.073 0.006 11.500 0.000 0.073 0.125
.withdep_comp_4 0.092 0.007 12.316 0.000 0.092 0.141
.soma_comp_4 0.085 0.007 12.315 0.000 0.085 0.137
.withdep_comp_5 0.107 0.008 13.004 0.000 0.107 0.156
.soma_comp_5 0.082 0.008 10.442 0.000 0.082 0.121
.withdep_comp_6 0.086 0.009 9.121 0.000 0.086 0.130
.soma_comp_6 0.070 0.010 7.247 0.000 0.070 0.102
.withdep_comp_0 ~~
.anxdep_comp_2 0.071 0.005 14.120 0.000 0.071 0.158
.soma_comp_0 ~~
.anxdep_comp_2 0.089 0.006 14.278 0.000 0.089 0.151
.withdep_comp_1 ~~
.anxdep_comp_2 0.088 0.005 16.990 0.000 0.088 0.189
.soma_comp_1 ~~
.anxdep_comp_2 0.079 0.006 12.580 0.000 0.079 0.134
.anxdep_comp_2 ~~
.withdep_comp_2 0.139 0.006 23.826 0.000 0.139 0.270
.soma_comp_2 0.108 0.006 17.677 0.000 0.108 0.192
.withdep_comp_3 0.130 0.007 19.757 0.000 0.130 0.222
.soma_comp_3 0.090 0.006 14.534 0.000 0.090 0.159
.withdep_comp_4 0.112 0.007 15.349 0.000 0.112 0.176
.soma_comp_4 0.101 0.007 15.068 0.000 0.101 0.168
.withdep_comp_5 0.103 0.008 12.856 0.000 0.103 0.153
.soma_comp_5 0.085 0.008 11.274 0.000 0.085 0.129
.withdep_comp_6 0.081 0.009 8.882 0.000 0.081 0.125
.soma_comp_6 0.078 0.009 8.449 0.000 0.078 0.117
.withdep_comp_0 ~~
.anxdep_comp_3 0.058 0.005 11.039 0.000 0.058 0.125
.soma_comp_0 ~~
.anxdep_comp_3 0.095 0.006 14.749 0.000 0.095 0.158
.withdep_comp_1 ~~
.anxdep_comp_3 0.074 0.005 13.929 0.000 0.074 0.156
.soma_comp_1 ~~
.anxdep_comp_3 0.085 0.007 13.011 0.000 0.085 0.140
.withdep_comp_2 ~~
.anxdep_comp_3 0.111 0.006 18.739 0.000 0.111 0.210
.soma_comp_2 ~~
.anxdep_comp_3 0.094 0.006 15.014 0.000 0.094 0.163
.anxdep_comp_3 ~~
.withdep_comp_3 0.183 0.007 26.231 0.000 0.183 0.307
.soma_comp_3 0.124 0.007 19.096 0.000 0.124 0.213
.withdep_comp_4 0.143 0.008 18.768 0.000 0.143 0.219
.soma_comp_4 0.131 0.007 18.643 0.000 0.131 0.212
.withdep_comp_5 0.142 0.008 17.026 0.000 0.142 0.207
.soma_comp_5 0.123 0.008 15.448 0.000 0.123 0.182
.withdep_comp_6 0.107 0.009 11.656 0.000 0.107 0.162
.soma_comp_6 0.130 0.009 13.780 0.000 0.130 0.190
.withdep_comp_0 ~~
.anxdep_comp_4 0.039 0.005 7.560 0.000 0.039 0.087
.soma_comp_0 ~~
.anxdep_comp_4 0.077 0.006 12.044 0.000 0.077 0.132
.withdep_comp_1 ~~
.anxdep_comp_4 0.058 0.005 10.972 0.000 0.058 0.125
.soma_comp_1 ~~
.anxdep_comp_4 0.074 0.006 11.407 0.000 0.074 0.125
.withdep_comp_2 ~~
.anxdep_comp_4 0.086 0.006 14.804 0.000 0.086 0.169
.soma_comp_2 ~~
.anxdep_comp_4 0.079 0.006 12.624 0.000 0.079 0.140
.withdep_comp_3 ~~
.anxdep_comp_4 0.131 0.007 19.294 0.000 0.131 0.225
.soma_comp_3 ~~
.anxdep_comp_4 0.097 0.006 15.119 0.000 0.097 0.171
.anxdep_comp_4 ~~
.withdep_comp_4 0.202 0.008 25.919 0.000 0.202 0.317
.soma_comp_4 0.149 0.007 21.274 0.000 0.149 0.247
.withdep_comp_5 0.165 0.008 19.939 0.000 0.165 0.248
.soma_comp_5 0.138 0.008 17.528 0.000 0.138 0.209
.withdep_comp_6 0.129 0.009 14.031 0.000 0.129 0.201
.soma_comp_6 0.139 0.009 14.704 0.000 0.139 0.208
.withdep_comp_0 ~~
.anxdep_comp_5 0.034 0.005 6.212 0.000 0.034 0.074
.soma_comp_0 ~~
.anxdep_comp_5 0.068 0.007 9.976 0.000 0.068 0.114
.withdep_comp_1 ~~
.anxdep_comp_5 0.057 0.006 10.205 0.000 0.057 0.120
.soma_comp_1 ~~
.anxdep_comp_5 0.077 0.007 11.116 0.000 0.077 0.127
.withdep_comp_2 ~~
.anxdep_comp_5 0.092 0.006 14.770 0.000 0.092 0.174
.soma_comp_2 ~~
.anxdep_comp_5 0.084 0.007 12.724 0.000 0.084 0.146
.withdep_comp_3 ~~
.anxdep_comp_5 0.139 0.007 19.393 0.000 0.139 0.233
.soma_comp_3 ~~
.anxdep_comp_5 0.093 0.007 13.678 0.000 0.093 0.160
.withdep_comp_4 ~~
.anxdep_comp_5 0.175 0.008 21.749 0.000 0.175 0.268
.soma_comp_4 ~~
.anxdep_comp_5 0.142 0.007 19.317 0.000 0.142 0.231
.anxdep_comp_5 ~~
.withdep_comp_5 0.244 0.009 27.342 0.000 0.244 0.356
.soma_comp_5 0.177 0.008 21.438 0.000 0.177 0.262
.withdep_comp_6 0.157 0.010 16.396 0.000 0.157 0.238
.soma_comp_6 0.153 0.010 15.672 0.000 0.153 0.225
.withdep_comp_0 ~~
.anxdep_comp_6 0.040 0.006 6.372 0.000 0.040 0.093
.soma_comp_0 ~~
.anxdep_comp_6 0.063 0.008 8.040 0.000 0.063 0.110
.withdep_comp_1 ~~
.anxdep_comp_6 0.059 0.006 9.265 0.000 0.059 0.132
.soma_comp_1 ~~
.anxdep_comp_6 0.066 0.008 8.398 0.000 0.066 0.116
.withdep_comp_2 ~~
.anxdep_comp_6 0.088 0.007 12.104 0.000 0.088 0.177
.soma_comp_2 ~~
.anxdep_comp_6 0.084 0.007 11.250 0.000 0.084 0.153
.withdep_comp_3 ~~
.anxdep_comp_6 0.129 0.008 15.951 0.000 0.129 0.229
.soma_comp_3 ~~
.anxdep_comp_6 0.075 0.008 9.946 0.000 0.075 0.136
.withdep_comp_4 ~~
.anxdep_comp_6 0.156 0.009 17.334 0.000 0.156 0.251
.soma_comp_4 ~~
.anxdep_comp_6 0.111 0.008 13.303 0.000 0.111 0.189
.withdep_comp_5 ~~
.anxdep_comp_6 0.186 0.010 19.205 0.000 0.186 0.286
.soma_comp_5 ~~
.anxdep_comp_6 0.120 0.009 13.108 0.000 0.120 0.187
.anxdep_comp_6 ~~
.withdep_comp_6 0.224 0.010 22.162 0.000 0.224 0.357
.soma_comp_6 0.166 0.010 16.829 0.000 0.166 0.256
.withdep_comp_0 ~~
.soma_comp_0 0.044 0.005 8.076 0.000 0.044 0.084
.soma_comp_1 0.045 0.006 8.040 0.000 0.045 0.085
.soma_comp_2 0.031 0.005 5.740 0.000 0.031 0.061
.soma_comp_3 0.021 0.006 3.711 0.000 0.021 0.041
.soma_comp_4 0.011 0.006 1.887 0.059 0.011 0.021
.soma_comp_5 -0.017 0.007 -2.527 0.012 -0.017 -0.029
.soma_comp_6 -0.016 0.009 -1.874 0.061 -0.016 -0.027
.soma_comp_0 ~~
.withdep_comp_1 0.029 0.006 5.121 0.000 0.029 0.053
.withdep_comp_1 ~~
.soma_comp_1 0.058 0.006 10.112 0.000 0.058 0.106
.soma_comp_2 0.043 0.006 7.690 0.000 0.043 0.081
.soma_comp_3 0.044 0.006 7.721 0.000 0.044 0.083
.soma_comp_4 0.031 0.006 4.915 0.000 0.031 0.054
.soma_comp_5 0.025 0.007 3.588 0.000 0.025 0.041
.soma_comp_6 0.010 0.009 1.145 0.252 0.010 0.016
.soma_comp_0 ~~
.withdep_comp_2 0.042 0.006 6.720 0.000 0.042 0.070
.soma_comp_1 ~~
.withdep_comp_2 0.058 0.006 9.049 0.000 0.058 0.095
.withdep_comp_2 ~~
.soma_comp_2 0.073 0.006 11.848 0.000 0.073 0.125
.soma_comp_3 0.054 0.006 8.670 0.000 0.054 0.093
.soma_comp_4 0.070 0.007 10.268 0.000 0.070 0.113
.soma_comp_5 0.062 0.008 8.061 0.000 0.062 0.092
.soma_comp_6 0.047 0.010 4.769 0.000 0.047 0.068
.soma_comp_0 ~~
.withdep_comp_3 0.058 0.007 8.017 0.000 0.058 0.085
.soma_comp_1 ~~
.withdep_comp_3 0.052 0.007 7.101 0.000 0.052 0.076
.soma_comp_2 ~~
.withdep_comp_3 0.058 0.007 8.300 0.000 0.058 0.088
.withdep_comp_3 ~~
.soma_comp_3 0.080 0.007 11.228 0.000 0.080 0.122
.soma_comp_4 0.107 0.008 13.568 0.000 0.107 0.152
.soma_comp_5 0.119 0.009 13.391 0.000 0.119 0.154
.soma_comp_6 0.121 0.011 11.244 0.000 0.121 0.156
.soma_comp_0 ~~
.withdep_comp_4 0.049 0.008 6.027 0.000 0.049 0.066
.soma_comp_1 ~~
.withdep_comp_4 0.062 0.008 7.501 0.000 0.062 0.082
.soma_comp_2 ~~
.withdep_comp_4 0.057 0.008 7.177 0.000 0.057 0.079
.soma_comp_3 ~~
.withdep_comp_4 0.080 0.008 9.826 0.000 0.080 0.110
.withdep_comp_4 ~~
.soma_comp_4 0.146 0.009 16.658 0.000 0.146 0.190
.soma_comp_5 0.142 0.010 14.436 0.000 0.142 0.169
.soma_comp_6 0.162 0.012 13.585 0.000 0.162 0.190
.soma_comp_0 ~~
.withdep_comp_5 0.041 0.009 4.587 0.000 0.041 0.053
.soma_comp_1 ~~
.withdep_comp_5 0.056 0.009 6.101 0.000 0.056 0.070
.soma_comp_2 ~~
.withdep_comp_5 0.051 0.009 5.894 0.000 0.051 0.068
.soma_comp_3 ~~
.withdep_comp_5 0.073 0.009 8.204 0.000 0.073 0.096
.soma_comp_4 ~~
.withdep_comp_5 0.136 0.010 14.140 0.000 0.136 0.168
.withdep_comp_5 ~~
.soma_comp_5 0.208 0.011 19.490 0.000 0.208 0.235
.soma_comp_6 0.195 0.013 15.234 0.000 0.195 0.217
.soma_comp_0 ~~
.withdep_comp_6 0.050 0.010 4.836 0.000 0.050 0.065
.soma_comp_1 ~~
.withdep_comp_6 0.038 0.010 3.643 0.000 0.038 0.049
.soma_comp_2 ~~
.withdep_comp_6 0.039 0.010 3.996 0.000 0.039 0.053
.soma_comp_3 ~~
.withdep_comp_6 0.050 0.010 5.070 0.000 0.050 0.068
.soma_comp_4 ~~
.withdep_comp_6 0.094 0.011 8.643 0.000 0.094 0.120
.soma_comp_5 ~~
.withdep_comp_6 0.136 0.012 11.423 0.000 0.136 0.159
.withdep_comp_6 ~~
.soma_comp_6 0.206 0.013 15.972 0.000 0.206 0.238
.rulebreak_comp_0 ~~
.aggress_comp_0 0.222 0.006 38.876 0.000 0.222 0.467
.aggress_comp_1 0.173 0.005 32.313 0.000 0.173 0.376
.aggress_comp_2 0.162 0.005 30.786 0.000 0.162 0.361
.aggress_comp_3 0.140 0.005 26.460 0.000 0.140 0.315
.aggress_comp_4 0.131 0.005 25.995 0.000 0.131 0.319
.aggress_comp_5 0.134 0.005 25.794 0.000 0.134 0.325
.aggress_comp_6 0.112 0.006 19.797 0.000 0.112 0.297
.aggress_comp_0 ~~
.rulebrek_cmp_1 0.182 0.005 33.075 0.000 0.182 0.382
.rulebreak_comp_1 ~~
.aggress_comp_1 0.216 0.006 38.076 0.000 0.216 0.469
.aggress_comp_2 0.170 0.005 31.911 0.000 0.170 0.378
.aggress_comp_3 0.152 0.005 28.482 0.000 0.152 0.343
.aggress_comp_4 0.144 0.005 28.131 0.000 0.144 0.349
.aggress_comp_5 0.136 0.005 25.859 0.000 0.136 0.327
.aggress_comp_6 0.124 0.006 21.375 0.000 0.124 0.327
.aggress_comp_0 ~~
.rulebrek_cmp_2 0.161 0.006 28.960 0.000 0.161 0.333
.aggress_comp_1 ~~
.rulebrek_cmp_2 0.165 0.005 30.005 0.000 0.165 0.351
.rulebreak_comp_2 ~~
.aggress_comp_2 0.223 0.006 38.640 0.000 0.223 0.486
.aggress_comp_3 0.169 0.006 30.320 0.000 0.169 0.373
.aggress_comp_4 0.143 0.005 27.200 0.000 0.143 0.340
.aggress_comp_5 0.144 0.005 26.781 0.000 0.144 0.341
.aggress_comp_6 0.140 0.006 23.649 0.000 0.140 0.364
.aggress_comp_0 ~~
.rulebrek_cmp_3 0.161 0.006 27.758 0.000 0.161 0.324
.aggress_comp_1 ~~
.rulebrek_cmp_3 0.164 0.006 28.732 0.000 0.164 0.340
.aggress_comp_2 ~~
.rulebrek_cmp_3 0.180 0.006 31.502 0.000 0.180 0.382
.rulebreak_comp_3 ~~
.aggress_comp_3 0.231 0.006 38.070 0.000 0.231 0.498
.aggress_comp_4 0.165 0.005 30.173 0.000 0.165 0.383
.aggress_comp_5 0.156 0.006 27.809 0.000 0.156 0.360
.aggress_comp_6 0.153 0.006 25.573 0.000 0.153 0.387
.aggress_comp_0 ~~
.rulebrek_cmp_4 0.183 0.007 26.958 0.000 0.183 0.318
.aggress_comp_1 ~~
.rulebrek_cmp_4 0.189 0.007 28.392 0.000 0.189 0.339
.aggress_comp_2 ~~
.rulebrek_cmp_4 0.188 0.007 28.666 0.000 0.188 0.345
.aggress_comp_3 ~~
.rulebrek_cmp_4 0.204 0.007 30.303 0.000 0.204 0.380
.rulebreak_comp_4 ~~
.aggress_comp_4 0.249 0.007 37.285 0.000 0.249 0.498
.aggress_comp_5 0.207 0.007 31.220 0.000 0.207 0.413
.aggress_comp_6 0.173 0.007 24.601 0.000 0.173 0.379
.aggress_comp_0 ~~
.rulebrek_cmp_5 0.214 0.008 26.262 0.000 0.214 0.317
.aggress_comp_1 ~~
.rulebrek_cmp_5 0.201 0.008 25.337 0.000 0.201 0.308
.aggress_comp_2 ~~
.rulebrek_cmp_5 0.227 0.008 28.736 0.000 0.227 0.355
.aggress_comp_3 ~~
.rulebrek_cmp_5 0.226 0.008 28.153 0.000 0.226 0.359
.aggress_comp_4 ~~
.rulebrek_cmp_5 0.233 0.008 30.542 0.000 0.233 0.397
.rulebreak_comp_5 ~~
.aggress_comp_5 0.310 0.008 37.962 0.000 0.310 0.529
.aggress_comp_6 0.237 0.008 28.508 0.000 0.237 0.442
.aggress_comp_0 ~~
.rulebrek_cmp_6 0.195 0.010 20.314 0.000 0.195 0.283
.aggress_comp_1 ~~
.rulebrek_cmp_6 0.178 0.009 18.782 0.000 0.178 0.265
.aggress_comp_2 ~~
.rulebrek_cmp_6 0.212 0.009 22.858 0.000 0.212 0.324
.aggress_comp_3 ~~
.rulebrek_cmp_6 0.220 0.009 23.848 0.000 0.220 0.341
.aggress_comp_4 ~~
.rulebrek_cmp_6 0.224 0.009 25.356 0.000 0.224 0.374
.aggress_comp_5 ~~
.rulebrek_cmp_6 0.249 0.009 27.247 0.000 0.249 0.414
.rulebreak_comp_6 ~~
.aggress_comp_6 0.273 0.009 29.220 0.000 0.273 0.498
.p_i ~~
.p_s -0.031 0.006 -5.435 0.000 -0.228 -0.228
.p_q 0.001 0.002 0.395 0.693 0.014 0.014
.p_s ~~
.p_q -0.023 0.003 -8.528 0.000 -0.857 -0.857
.flanker_0 ~~
.flanker_2 0.137 0.007 18.692 0.000 0.137 0.243
.flanker_4 0.097 0.007 13.015 0.000 0.097 0.179
.flanker_6 0.086 0.009 9.265 0.000 0.086 0.161
.flanker_2 ~~
.flanker_4 0.144 0.007 19.844 0.000 0.144 0.320
.flanker_6 0.101 0.008 12.501 0.000 0.101 0.230
.flanker_4 ~~
.flanker_6 0.152 0.009 16.812 0.000 0.152 0.357
.pattern_0 ~~
.pattern_2 0.075 0.005 13.712 0.000 0.075 0.220
.pattern_4 0.041 0.006 6.902 0.000 0.041 0.113
.pattern_6 0.033 0.007 4.716 0.000 0.033 0.095
.pattern_2 ~~
.pattern_4 0.106 0.007 15.481 0.000 0.106 0.291
.pattern_6 0.074 0.008 9.918 0.000 0.074 0.210
.pattern_4 ~~
.pattern_6 0.126 0.009 14.180 0.000 0.126 0.335
.picture_0 ~~
.picture_2 0.252 0.007 33.908 0.000 0.252 0.365
.picture_4 0.258 0.009 28.163 0.000 0.258 0.311
.picture_6 0.283 0.012 23.627 0.000 0.283 0.344
.picture_2 ~~
.picture_4 0.286 0.010 28.157 0.000 0.286 0.326
.picture_6 0.267 0.013 19.955 0.000 0.267 0.307
.picture_4 ~~
.picture_6 0.391 0.016 24.782 0.000 0.391 0.374
.picvocab_0 ~~
.picvocab_2 0.399 0.007 53.367 0.000 0.399 0.677
.picvocab_4 0.403 0.008 50.847 0.000 0.403 0.649
.picvocab_6 0.382 0.009 43.424 0.000 0.382 0.627
.picvocab_2 ~~
.picvocab_4 0.475 0.009 54.241 0.000 0.475 0.728
.picvocab_6 0.462 0.010 47.615 0.000 0.462 0.722
.picvocab_4 ~~
.picvocab_6 0.511 0.011 48.549 0.000 0.511 0.757
.reading_0 ~~
.reading_2 0.405 0.007 55.043 0.000 0.405 0.722
.reading_4 0.409 0.008 50.919 0.000 0.409 0.662
.reading_6 0.418 0.010 43.677 0.000 0.418 0.657
.reading_2 ~~
.reading_4 0.418 0.008 51.455 0.000 0.418 0.693
.reading_6 0.435 0.010 45.411 0.000 0.435 0.699
.reading_4 ~~
.reading_6 0.459 0.011 43.047 0.000 0.459 0.670
.picvocab_0 ~~
.reading_0 0.234 0.006 36.075 0.000 0.234 0.412
.reading_2 0.247 0.007 37.800 0.000 0.247 0.446
.reading_4 0.266 0.007 36.402 0.000 0.266 0.436
.reading_6 0.285 0.009 32.286 0.000 0.285 0.453
.picvocab_2 ~~
.reading_2 0.290 0.007 40.617 0.000 0.290 0.499
.reading_0 ~~
.picvocab_2 0.269 0.007 38.433 0.000 0.269 0.451
.picvocab_2 ~~
.reading_4 0.316 0.008 39.739 0.000 0.316 0.493
.reading_6 0.341 0.010 35.620 0.000 0.341 0.517
.picvocab_4 ~~
.reading_4 0.340 0.009 39.115 0.000 0.340 0.503
.reading_0 ~~
.picvocab_4 0.277 0.008 36.907 0.000 0.277 0.441
.reading_2 ~~
.picvocab_4 0.302 0.008 39.581 0.000 0.302 0.493
.picvocab_4 ~~
.reading_6 0.370 0.010 35.793 0.000 0.370 0.531
.picvocab_6 ~~
.reading_6 0.363 0.011 32.417 0.000 0.363 0.532
.reading_0 ~~
.picvocab_6 0.258 0.009 30.034 0.000 0.258 0.418
.reading_2 ~~
.picvocab_6 0.286 0.009 33.228 0.000 0.286 0.475
.reading_4 ~~
.picvocab_6 0.325 0.010 33.555 0.000 0.325 0.490
g_i ~~
g_s 0.004 0.001 3.536 0.000 0.206 0.206
.ph_p_pds_001_0 ~~
.ph_p_pds_001_1 0.426 0.011 40.292 0.000 0.426 0.460
.ph_p_pds_001_2 0.253 0.009 28.426 0.000 0.253 0.315
.ph_p_pds_001_3 0.135 0.008 17.236 0.000 0.135 0.193
.ph_p_pds_001_4 0.052 0.007 7.312 0.000 0.052 0.085
.ph_p_pds_001_5 0.027 0.007 3.879 0.000 0.027 0.046
.ph_p_pds_001_6 0.023 0.009 2.593 0.010 0.023 0.039
.ph_p_pds_001_1 ~~
.ph_p_pds_001_2 0.296 0.008 36.152 0.000 0.296 0.418
.ph_p_pds_001_3 0.166 0.007 23.336 0.000 0.166 0.269
.ph_p_pds_001_4 0.069 0.006 11.006 0.000 0.069 0.128
.ph_p_pds_001_5 0.034 0.006 5.472 0.000 0.034 0.065
.ph_p_pds_001_6 0.019 0.008 2.389 0.017 0.019 0.036
.ph_p_pds_001_2 ~~
.ph_p_pds_001_3 0.214 0.007 32.877 0.000 0.214 0.400
.ph_p_pds_001_4 0.092 0.006 16.684 0.000 0.092 0.198
.ph_p_pds_001_5 0.040 0.005 7.495 0.000 0.040 0.090
.ph_p_pds_001_6 0.028 0.007 4.053 0.000 0.028 0.062
.ph_p_pds_001_3 ~~
.ph_p_pds_001_4 0.120 0.005 23.625 0.000 0.120 0.295
.ph_p_pds_001_5 0.061 0.005 12.551 0.000 0.061 0.156
.ph_p_pds_001_6 0.035 0.006 5.739 0.000 0.035 0.088
.ph_p_pds_001_4 ~~
.ph_p_pds_001_5 0.134 0.005 29.376 0.000 0.134 0.391
.ph_p_pds_001_6 0.083 0.006 14.659 0.000 0.083 0.241
.ph_p_pds_001_5 ~~
.ph_p_pds_001_6 0.142 0.006 24.941 0.000 0.142 0.424
.ph_p_pds_002_0 ~~
.ph_p_pds_002_1 0.119 0.005 21.747 0.000 0.119 0.373
.ph_p_pds_002_2 0.056 0.005 11.304 0.000 0.056 0.185
.ph_p_pds_002_3 0.023 0.004 5.212 0.000 0.023 0.090
.ph_p_pds_002_4 0.007 0.004 1.868 0.062 0.007 0.034
.ph_p_pds_002_5 0.001 0.004 0.193 0.847 0.001 0.004
.ph_p_pds_002_6 0.000 0.005 0.084 0.933 0.000 0.002
.ph_p_pds_002_1 ~~
.ph_p_pds_002_2 0.124 0.005 23.151 0.000 0.124 0.401
.ph_p_pds_002_3 0.057 0.005 12.058 0.000 0.057 0.215
.ph_p_pds_002_4 0.012 0.004 3.046 0.002 0.012 0.057
.ph_p_pds_002_5 0.008 0.004 2.058 0.040 0.008 0.040
.ph_p_pds_002_6 0.026 0.005 5.644 0.000 0.026 0.144
.ph_p_pds_002_2 ~~
.ph_p_pds_002_3 0.100 0.005 20.823 0.000 0.100 0.399
.ph_p_pds_002_4 0.030 0.004 7.243 0.000 0.030 0.143
.ph_p_pds_002_5 0.010 0.004 2.813 0.005 0.010 0.057
.ph_p_pds_002_6 0.032 0.004 7.376 0.000 0.032 0.188
.ph_p_pds_002_3 ~~
.ph_p_pds_002_4 0.045 0.004 11.715 0.000 0.045 0.256
.ph_p_pds_002_5 0.019 0.003 5.588 0.000 0.019 0.123
.ph_p_pds_002_6 0.032 0.004 8.177 0.000 0.032 0.219
.ph_p_pds_002_4 ~~
.ph_p_pds_002_5 0.037 0.003 11.432 0.000 0.037 0.285
.ph_p_pds_002_6 0.023 0.004 6.333 0.000 0.023 0.192
.ph_p_pds_002_5 ~~
.ph_p_pds_002_6 0.028 0.003 8.045 0.000 0.028 0.261
.ph_p_pds_003_0 ~~
.ph_p_pds_003_1 0.134 0.005 24.827 0.000 0.134 0.371
.ph_p_pds_003_2 0.082 0.005 16.283 0.000 0.082 0.226
.ph_p_pds_003_3 0.046 0.005 9.763 0.000 0.046 0.136
.ph_p_pds_003_4 0.018 0.004 4.064 0.000 0.018 0.059
.ph_p_pds_003_5 0.020 0.004 4.711 0.000 0.020 0.070
.ph_p_pds_003_6 0.007 0.005 1.266 0.206 0.007 0.024
.ph_p_pds_003_1 ~~
.ph_p_pds_003_2 0.165 0.006 28.826 0.000 0.165 0.405
.ph_p_pds_003_3 0.089 0.005 16.901 0.000 0.089 0.233
.ph_p_pds_003_4 0.027 0.005 5.603 0.000 0.027 0.079
.ph_p_pds_003_5 0.013 0.005 2.795 0.005 0.013 0.040
.ph_p_pds_003_6 0.007 0.006 1.204 0.228 0.007 0.022
.ph_p_pds_003_2 ~~
.ph_p_pds_003_3 0.157 0.005 28.650 0.000 0.157 0.410
.ph_p_pds_003_4 0.065 0.005 13.342 0.000 0.065 0.191
.ph_p_pds_003_5 0.037 0.005 7.988 0.000 0.037 0.116
.ph_p_pds_003_6 0.015 0.006 2.745 0.006 0.015 0.050
.ph_p_pds_003_3 ~~
.ph_p_pds_003_4 0.106 0.005 22.022 0.000 0.106 0.330
.ph_p_pds_003_5 0.056 0.004 12.509 0.000 0.056 0.187
.ph_p_pds_003_6 0.038 0.005 7.231 0.000 0.038 0.133
.ph_p_pds_003_4 ~~
.ph_p_pds_003_5 0.086 0.004 19.903 0.000 0.086 0.322
.ph_p_pds_003_6 0.063 0.005 12.531 0.000 0.063 0.246
.ph_p_pds_003_5 ~~
.ph_p_pds_003_6 0.074 0.005 15.495 0.000 0.074 0.307
pu_i ~~
pu_s -0.033 0.005 -7.272 0.000 -0.195 -0.195
pu_q -0.006 0.001 -4.285 0.000 -0.111 -0.111
pu_s ~~
pu_q -0.044 0.002 -21.732 0.000 -0.918 -0.918
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) -0.005 0.004 -1.215 0.224 -0.005 -0.005
.asr___0 (t_AW) 0.003 0.005 0.513 0.608 0.003 0.002
.asr___0 (t_AS) -0.002 0.005 -0.316 0.752 -0.002 -0.002
.asr___0 (t_AP) 0.000 0.005 0.086 0.932 0.000 0.000
.asr___0 (t_AH) 0.000 0.005 0.003 0.998 0.000 0.000
.asr___0 (t_AA) 0.007 0.005 1.203 0.229 0.007 0.006
.asr___0 (t_AR) 0.001 0.005 0.297 0.766 0.001 0.001
.asr___0 (t_AG) -0.000 0.007 -0.061 0.952 -0.000 -0.000
.asr___2 (t_AX) -0.005 0.004 -1.215 0.224 -0.005 -0.005
.asr___2 (t_AW) 0.003 0.005 0.513 0.608 0.003 0.003
.asr___2 (t_AS) -0.002 0.005 -0.316 0.752 -0.002 -0.002
.asr___2 (t_AP) 0.000 0.005 0.086 0.932 0.000 0.000
.asr___2 (t_AH) 0.000 0.005 0.003 0.998 0.000 0.000
.asr___2 (t_AA) 0.007 0.005 1.203 0.229 0.007 0.007
.asr___2 (t_AR) 0.001 0.005 0.297 0.766 0.001 0.001
.asr___2 (t_AG) -0.000 0.007 -0.061 0.952 -0.000 -0.000
.asr___4 (t_AX) -0.005 0.004 -1.215 0.224 -0.005 -0.005
.asr___4 (t_AW) 0.003 0.005 0.513 0.608 0.003 0.003
.asr___4 (t_AS) -0.002 0.005 -0.316 0.752 -0.002 -0.002
.asr___4 (t_AP) 0.000 0.005 0.086 0.932 0.000 0.000
.asr___4 (t_AH) 0.000 0.005 0.003 0.998 0.000 0.000
.asr___4 (t_AA) 0.007 0.005 1.203 0.229 0.007 0.007
.asr___4 (t_AR) 0.001 0.005 0.297 0.766 0.001 0.001
.asr___4 (t_AG) -0.000 0.007 -0.061 0.952 -0.000 -0.000
a_i 0.025 0.008 3.277 0.001 0.032 0.032
a_s -0.023 0.004 -6.469 0.000 -0.094 -0.094
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.anxd__0 (t_CX) -0.013 0.005 -2.596 0.009 -0.013 -0.013
.anxd__1 (t_CX) -0.013 0.005 -2.596 0.009 -0.013 -0.013
.anxd__2 (t_CX) -0.013 0.005 -2.596 0.009 -0.013 -0.013
.anxd__3 (t_CX) -0.013 0.005 -2.596 0.009 -0.013 -0.013
.anxd__4 (t_CX) -0.013 0.005 -2.596 0.009 -0.013 -0.013
.anxd__5 (t_CX) -0.013 0.005 -2.596 0.009 -0.013 -0.013
.anxd__6 (t_CX) -0.013 0.005 -2.596 0.009 -0.013 -0.014
.wthd__0 (t_CW) -0.079 0.005 -15.584 0.000 -0.079 -0.087
.wthd__1 (t_CW) -0.079 0.005 -15.584 0.000 -0.079 -0.086
.wthd__2 (t_CW) -0.079 0.005 -15.584 0.000 -0.079 -0.082
.wthd__3 (t_CW) -0.079 0.005 -15.584 0.000 -0.079 -0.076
.wthd__4 (t_CW) -0.079 0.005 -15.584 0.000 -0.079 -0.072
.wthd__5 (t_CW) -0.079 0.005 -15.584 0.000 -0.079 -0.070
.wthd__6 (t_CW) -0.079 0.005 -15.584 0.000 -0.079 -0.073
.sm_cm_0 (t_CS) -0.016 0.006 -2.719 0.007 -0.016 -0.016
.sm_cm_1 (t_CS) -0.016 0.006 -2.719 0.007 -0.016 -0.016
.sm_cm_2 (t_CS) -0.016 0.006 -2.719 0.007 -0.016 -0.017
.sm_cm_3 (t_CS) -0.016 0.006 -2.719 0.007 -0.016 -0.017
.sm_cm_4 (t_CS) -0.016 0.006 -2.719 0.007 -0.016 -0.016
.sm_cm_5 (t_CS) -0.016 0.006 -2.719 0.007 -0.016 -0.015
.sm_cm_6 (t_CS) -0.016 0.006 -2.719 0.007 -0.016 -0.015
.scpr__0 (t_CP) 0.027 0.004 6.773 0.000 0.027 0.026
.scpr__1 (t_CP) 0.027 0.004 6.773 0.000 0.027 0.026
.scpr__2 (t_CP) 0.027 0.004 6.773 0.000 0.027 0.027
.scpr__3 (t_CP) 0.027 0.004 6.773 0.000 0.027 0.028
.scpr__4 (t_CP) 0.027 0.004 6.773 0.000 0.027 0.028
.scpr__5 (t_CP) 0.027 0.004 6.773 0.000 0.027 0.028
.scpr__6 (t_CP) 0.027 0.004 6.773 0.000 0.027 0.030
.thpr__0 (t_CH) 0.028 0.004 7.071 0.000 0.028 0.027
.thpr__1 (t_CH) 0.028 0.004 7.071 0.000 0.028 0.027
.thpr__2 (t_CH) 0.028 0.004 7.071 0.000 0.028 0.028
.thpr__3 (t_CH) 0.028 0.004 7.071 0.000 0.028 0.029
.thpr__4 (t_CH) 0.028 0.004 7.071 0.000 0.028 0.029
.thpr__5 (t_CH) 0.028 0.004 7.071 0.000 0.028 0.029
.thpr__6 (t_CH) 0.028 0.004 7.071 0.000 0.028 0.031
.attp__0 (t_CA) 0.032 0.005 6.780 0.000 0.032 0.032
.attp__1 (t_CA) 0.032 0.005 6.780 0.000 0.032 0.032
.attp__2 (t_CA) 0.032 0.005 6.780 0.000 0.032 0.033
.attp__3 (t_CA) 0.032 0.005 6.780 0.000 0.032 0.033
.attp__4 (t_CA) 0.032 0.005 6.780 0.000 0.032 0.034
.attp__5 (t_CA) 0.032 0.005 6.780 0.000 0.032 0.034
.attp__6 (t_CA) 0.032 0.005 6.780 0.000 0.032 0.035
.rlbr__0 (t_CR) -0.019 0.005 -3.876 0.000 -0.019 -0.020
.rlbr__1 (t_CR) -0.019 0.005 -3.876 0.000 -0.019 -0.020
.rlbr__2 (t_CR) -0.019 0.005 -3.876 0.000 -0.019 -0.020
.rlbr__3 (t_CR) -0.019 0.005 -3.876 0.000 -0.019 -0.020
.rlbr__4 (t_CR) -0.019 0.005 -3.876 0.000 -0.019 -0.018
.rlbr__5 (t_CR) -0.019 0.005 -3.876 0.000 -0.019 -0.017
.rlbr__6 (t_CR) -0.019 0.005 -3.876 0.000 -0.019 -0.016
.aggr__0 (t_CG) -0.002 0.004 -0.496 0.620 -0.002 -0.002
.aggr__1 (t_CG) -0.002 0.004 -0.496 0.620 -0.002 -0.002
.aggr__2 (t_CG) -0.002 0.004 -0.496 0.620 -0.002 -0.002
.aggr__3 (t_CG) -0.002 0.004 -0.496 0.620 -0.002 -0.002
.aggr__4 (t_CG) -0.002 0.004 -0.496 0.620 -0.002 -0.002
.aggr__5 (t_CG) -0.002 0.004 -0.496 0.620 -0.002 -0.002
.aggr__6 (t_CG) -0.002 0.004 -0.496 0.620 -0.002 -0.002
.p_i -0.158 0.018 -8.727 0.000 -0.230 -0.230
.p_s 0.448 0.220 2.038 0.042 1.050 1.050
.p_q -0.155 0.073 -2.122 0.034 -1.257 -1.257
.p_etaB 0.000 0.000 0.000
.p_eta1 0.000 0.000 0.000
.p_eta2 0.000 0.000 0.000
.p_eta3 0.000 0.000 0.000
.p_eta4 0.000 0.000 0.000
.p_eta5 0.000 0.000 0.000
.p_eta6 0.000 0.000 0.000
.flnkr_0 (ta_S) 0.095 0.005 19.134 0.000 0.095 0.103
.flnkr_2 (ta_S) 0.095 0.005 19.134 0.000 0.095 0.119
.flnkr_4 (ta_S) 0.095 0.005 19.134 0.000 0.095 0.119
.flnkr_6 (ta_S) 0.095 0.005 19.134 0.000 0.095 0.116
.pttrn_0 (ta_R) 0.110 0.005 23.787 0.000 0.110 0.144
.pttrn_2 (ta_R) 0.110 0.005 23.787 0.000 0.110 0.142
.pttrn_4 (ta_R) 0.110 0.005 23.787 0.000 0.110 0.133
.pttrn_6 (ta_R) 0.110 0.005 23.787 0.000 0.110 0.128
.pictr_0 (ta_M) 0.049 0.006 7.722 0.000 0.049 0.058
.pictr_2 (ta_M) 0.049 0.006 7.722 0.000 0.049 0.055
.pictr_4 (ta_M) 0.049 0.006 7.722 0.000 0.049 0.046
.pictr_6 (ta_M) 0.049 0.006 7.722 0.000 0.049 0.047
.pcvcb_0 (ta_P) 0.043 0.005 8.141 0.000 0.043 0.051
.pcvcb_2 (ta_P) 0.043 0.005 8.141 0.000 0.043 0.049
.pcvcb_4 (ta_P) 0.043 0.005 8.141 0.000 0.043 0.046
.pcvcb_6 (ta_P) 0.043 0.005 8.141 0.000 0.043 0.046
.redng_0 (ta_V) 0.053 0.005 10.441 0.000 0.053 0.062
.redng_2 (ta_V) 0.053 0.005 10.441 0.000 0.053 0.063
.redng_4 (ta_V) 0.053 0.005 10.441 0.000 0.053 0.058
.redng_6 (ta_V) 0.053 0.005 10.441 0.000 0.053 0.055
g_i -0.649 0.006 -100.602 0.000 -1.669 -1.669
g_s 0.473 0.004 128.270 0.000 9.029 9.029
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
.p___001 (t_PS) 0.047 0.004 12.875 0.000 0.047 0.042
.p___001 (t_PS) 0.047 0.004 12.875 0.000 0.047 0.046
.p___001 (t_PS) 0.047 0.004 12.875 0.000 0.047 0.051
.p___001 (t_PS) 0.047 0.004 12.875 0.000 0.047 0.056
.p___001 (t_PS) 0.047 0.004 12.875 0.000 0.047 0.062
.p___001 (t_PS) 0.047 0.004 12.875 0.000 0.047 0.067
.p___001 (t_PS) 0.047 0.004 12.875 0.000 0.047 0.069
.p___002 (t_PR) 0.104 0.002 44.980 0.000 0.104 0.128
.p___002 (t_PR) 0.104 0.002 44.980 0.000 0.104 0.121
.p___002 (t_PR) 0.104 0.002 44.980 0.000 0.104 0.122
.p___002 (t_PR) 0.104 0.002 44.980 0.000 0.104 0.130
.p___002 (t_PR) 0.104 0.002 44.980 0.000 0.104 0.144
.p___002 (t_PR) 0.104 0.002 44.980 0.000 0.104 0.165
.p___002 (t_PR) 0.104 0.002 44.980 0.000 0.104 0.186
.p___003 (t_PM) 0.095 0.003 37.603 0.000 0.095 0.119
.p___003 (t_PM) 0.095 0.003 37.603 0.000 0.095 0.108
.p___003 (t_PM) 0.095 0.003 37.603 0.000 0.095 0.106
.p___003 (t_PM) 0.095 0.003 37.603 0.000 0.095 0.110
.p___003 (t_PM) 0.095 0.003 37.603 0.000 0.095 0.120
.p___003 (t_PM) 0.095 0.003 37.603 0.000 0.095 0.134
.p___003 (t_PM) 0.095 0.003 37.603 0.000 0.095 0.146
pu_i -0.727 0.007 -109.800 0.000 -1.694 -1.694
pu_s 0.597 0.007 86.649 0.000 1.497 1.497
pu_q -0.043 0.002 -22.478 0.000 -0.361 -0.361
.pu_etaB 0.000 0.000 0.000
.pu_eta1 0.000 0.000 0.000
.pu_eta2 0.000 0.000 0.000
.pu_eta3 0.000 0.000 0.000
.pu_eta4 0.000 0.000 0.000
.pu_eta5 0.000 0.000 0.000
.pu_eta6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.101 0.006 16.632 0.000 0.142 0.142
.a_eta2 0.182 0.005 39.328 0.000 0.262 0.262
.a_eta4 0.102 0.007 14.194 0.000 0.159 0.159
.asr_nxdp_cmp_0 0.312 0.006 53.402 0.000 0.312 0.305
.asr_wthdp_cm_0 0.486 0.008 63.088 0.000 0.486 0.463
.asr_soma_cmp_0 0.551 0.008 66.547 0.000 0.551 0.549
.asr_thprb_cm_0 0.471 0.007 65.265 0.000 0.471 0.435
.asr_ttprb_cm_0 0.408 0.006 64.401 0.000 0.408 0.411
.asr_rlbrk_cm_0 0.660 0.009 69.904 0.000 0.660 0.606
.asr_ggrss_cm_0 0.448 0.007 64.474 0.000 0.448 0.427
.asr_intr_cmp_0 0.898 0.012 74.902 0.000 0.898 0.841
.asr_nxdp_cmp_2 0.340 0.006 53.448 0.000 0.340 0.329
.asr_wthdp_cm_2 0.481 0.008 61.124 0.000 0.481 0.467
.asr_soma_cmp_2 0.560 0.009 64.622 0.000 0.560 0.559
.asr_thprb_cm_2 0.412 0.007 61.776 0.000 0.412 0.408
.asr_ttprb_cm_2 0.383 0.006 61.205 0.000 0.383 0.402
.asr_rlbrk_cm_2 0.603 0.009 66.767 0.000 0.603 0.590
.asr_ggrss_cm_2 0.435 0.007 62.269 0.000 0.435 0.426
.asr_intr_cmp_2 0.821 0.011 72.050 0.000 0.821 0.832
.asr_nxdp_cmp_4 0.352 0.007 50.830 0.000 0.352 0.355
.asr_wthdp_cm_4 0.461 0.008 57.277 0.000 0.461 0.475
.asr_soma_cmp_4 0.554 0.009 60.447 0.000 0.554 0.575
.asr_thprb_cm_4 0.384 0.007 57.230 0.000 0.384 0.410
.asr_ttprb_cm_4 0.420 0.007 58.580 0.000 0.420 0.443
.asr_rlbrk_cm_4 0.561 0.009 62.014 0.000 0.561 0.591
.asr_ggrss_cm_4 0.417 0.007 58.224 0.000 0.417 0.434
.asr_intr_cmp_4 0.806 0.012 67.775 0.000 0.806 0.840
a_i 0.608 0.012 49.262 0.000 1.000 1.000
a_s 0.063 0.003 20.112 0.000 1.000 1.000
.p_etaB 0.079 0.004 20.408 0.000 0.145 0.145
.p_eta1 0.123 0.003 42.632 0.000 0.228 0.228
.p_eta2 0.120 0.003 42.383 0.000 0.227 0.227
.p_eta3 0.112 0.003 39.373 0.000 0.216 0.216
.p_eta4 0.105 0.003 38.334 0.000 0.209 0.209
.p_eta5 0.111 0.003 35.571 0.000 0.223 0.223
.p_eta6 0.041 0.005 9.017 0.000 0.090 0.090
.anxdep_comp_0 0.509 0.008 66.974 0.000 0.509 0.481
.withdep_comp_0 0.405 0.006 65.350 0.000 0.405 0.497
.soma_comp_0 0.690 0.009 72.707 0.000 0.690 0.697
.socprob_comp_0 0.419 0.007 61.198 0.000 0.419 0.379
.thouprob_cmp_0 0.410 0.007 63.013 0.000 0.410 0.380
.attprob_comp_0 0.457 0.007 66.008 0.000 0.457 0.457
.rulebrek_cmp_0 0.480 0.007 69.181 0.000 0.480 0.543
.aggress_comp_0 0.470 0.007 64.462 0.000 0.470 0.430
.anxdep_comp_1 0.527 0.008 65.775 0.000 0.527 0.493
.withdep_comp_1 0.432 0.007 66.246 0.000 0.432 0.517
.soma_comp_1 0.699 0.010 71.032 0.000 0.699 0.703
.socprob_comp_1 0.389 0.007 59.432 0.000 0.389 0.365
.thouprob_cmp_1 0.420 0.007 61.651 0.000 0.420 0.389
.attprob_comp_1 0.448 0.007 64.622 0.000 0.448 0.456
.rulebrek_cmp_1 0.481 0.007 67.228 0.000 0.481 0.547
.aggress_comp_1 0.442 0.007 62.982 0.000 0.442 0.418
.anxdep_comp_2 0.499 0.008 65.113 0.000 0.499 0.485
.withdep_comp_2 0.529 0.008 67.203 0.000 0.529 0.573
.soma_comp_2 0.639 0.009 69.733 0.000 0.639 0.689
.socprob_comp_2 0.349 0.006 58.029 0.000 0.349 0.345
.thouprob_cmp_2 0.370 0.006 59.589 0.000 0.370 0.365
.attprob_comp_2 0.422 0.007 63.721 0.000 0.422 0.446
.rulebrek_cmp_2 0.499 0.008 66.265 0.000 0.499 0.562
.aggress_comp_2 0.422 0.007 61.971 0.000 0.422 0.412
.anxdep_comp_3 0.526 0.008 63.727 0.000 0.526 0.503
.withdep_comp_3 0.679 0.010 65.533 0.000 0.679 0.637
.soma_comp_3 0.645 0.010 67.692 0.000 0.645 0.695
.socprob_comp_3 0.320 0.006 55.684 0.000 0.320 0.330
.thouprob_cmp_3 0.345 0.006 57.029 0.000 0.345 0.353
.attprob_comp_3 0.417 0.007 62.117 0.000 0.417 0.448
.rulebrek_cmp_3 0.527 0.008 63.731 0.000 0.527 0.580
.aggress_comp_3 0.410 0.007 59.926 0.000 0.410 0.410
.anxdep_comp_4 0.496 0.008 61.537 0.000 0.496 0.497
.withdep_comp_4 0.815 0.013 63.085 0.000 0.815 0.685
.soma_comp_4 0.730 0.011 65.731 0.000 0.730 0.727
.socprob_comp_4 0.305 0.006 53.858 0.000 0.305 0.327
.thouprob_cmp_4 0.325 0.006 54.756 0.000 0.325 0.347
.attprob_comp_4 0.382 0.006 59.797 0.000 0.382 0.434
.rulebrek_cmp_4 0.706 0.011 63.073 0.000 0.706 0.657
.aggress_comp_4 0.354 0.006 57.407 0.000 0.354 0.383
.anxdep_comp_5 0.521 0.009 58.757 0.000 0.521 0.511
.withdep_comp_5 0.900 0.015 60.311 0.000 0.900 0.708
.soma_comp_5 0.873 0.014 62.707 0.000 0.873 0.762
.socprob_comp_5 0.299 0.006 50.489 0.000 0.299 0.324
.thouprob_cmp_5 0.376 0.007 53.496 0.000 0.376 0.382
.attprob_comp_5 0.398 0.007 57.794 0.000 0.398 0.446
.rulebrek_cmp_5 0.967 0.016 61.574 0.000 0.967 0.725
.aggress_comp_5 0.356 0.006 54.947 0.000 0.356 0.386
.anxdep_comp_6 0.471 0.010 46.934 0.000 0.471 0.511
.withdep_comp_6 0.835 0.017 48.434 0.000 0.835 0.713
.soma_comp_6 0.893 0.018 50.077 0.000 0.893 0.784
.socprob_comp_6 0.256 0.007 38.949 0.000 0.256 0.313
.thouprob_cmp_6 0.299 0.007 40.519 0.000 0.299 0.352
.attprob_comp_6 0.372 0.008 46.769 0.000 0.372 0.455
.rulebrek_cmp_6 1.014 0.020 49.986 0.000 1.014 0.754
.aggress_comp_6 0.297 0.007 43.068 0.000 0.297 0.367
.p_i 0.232 0.007 35.265 0.000 0.495 0.495
.p_s 0.077 0.009 8.512 0.000 0.425 0.425
.p_q 0.009 0.001 10.807 0.000 0.612 0.612
.g_etaB 0.012 0.002 5.334 0.000 0.073 0.073
.g_eta2 0.008 0.002 5.200 0.000 0.048 0.048
.g_eta4 0.017 0.002 8.225 0.000 0.088 0.088
.g_eta6 0.045 0.004 11.354 0.000 0.183 0.183
.flanker_0 0.683 0.010 68.059 0.000 0.683 0.807
.flanker_2 0.465 0.009 54.431 0.000 0.465 0.732
.flanker_4 0.434 0.009 49.514 0.000 0.434 0.689
.flanker_6 0.416 0.011 38.688 0.000 0.416 0.629
.pattern_0 0.339 0.006 52.794 0.000 0.339 0.584
.pattern_2 0.341 0.008 45.387 0.000 0.341 0.575
.pattern_4 0.387 0.009 42.973 0.000 0.387 0.571
.pattern_6 0.367 0.011 33.038 0.000 0.367 0.502
.picture_0 0.653 0.009 73.382 0.000 0.653 0.918
.picture_2 0.733 0.011 69.167 0.000 0.733 0.923
.picture_4 1.055 0.016 66.198 0.000 1.055 0.938
.picture_6 1.035 0.022 47.847 0.000 1.035 0.922
.picvocab_0 0.561 0.008 69.077 0.000 0.561 0.800
.picvocab_2 0.619 0.009 66.320 0.000 0.619 0.808
.picvocab_4 0.688 0.011 63.186 0.000 0.688 0.803
.picvocab_6 0.663 0.013 49.364 0.000 0.663 0.758
.reading_0 0.574 0.008 68.382 0.000 0.574 0.785
.reading_2 0.548 0.008 64.984 0.000 0.548 0.770
.reading_4 0.665 0.011 62.119 0.000 0.665 0.779
.reading_6 0.705 0.015 47.966 0.000 0.705 0.749
g_i 0.151 0.004 36.165 0.000 1.000 1.000
g_s 0.003 0.001 4.316 0.000 1.000 1.000
.pu_etaB 0.009 0.003 2.732 0.006 0.046 0.046
.pu_eta1 0.054 0.002 23.654 0.000 0.234 0.234
.pu_eta2 0.052 0.002 24.154 0.000 0.215 0.215
.pu_eta3 0.047 0.002 23.331 0.000 0.196 0.196
.pu_eta4 0.040 0.002 22.404 0.000 0.191 0.191
.pu_eta5 0.026 0.002 17.070 0.000 0.168 0.168
.pu_eta6 0.013 0.003 4.807 0.000 0.106 0.106
.ph_p_pds_001_0 1.052 0.015 69.919 0.000 1.052 0.845
.ph_p_pds_002_0 0.312 0.007 47.762 0.000 0.312 0.476
.ph_p_pds_003_0 0.322 0.006 51.689 0.000 0.322 0.511
.ph_p_pds_001_1 0.818 0.012 68.476 0.000 0.818 0.779
.ph_p_pds_002_1 0.325 0.007 44.785 0.000 0.325 0.441
.ph_p_pds_003_1 0.405 0.008 53.835 0.000 0.405 0.523
.ph_p_pds_001_2 0.614 0.009 65.672 0.000 0.614 0.715
.ph_p_pds_002_2 0.292 0.007 43.046 0.000 0.292 0.401
.ph_p_pds_003_2 0.410 0.007 55.269 0.000 0.410 0.513
.ph_p_pds_001_3 0.465 0.007 62.375 0.000 0.465 0.659
.ph_p_pds_002_3 0.215 0.006 37.948 0.000 0.215 0.334
.ph_p_pds_003_3 0.358 0.007 53.791 0.000 0.358 0.483
.ph_p_pds_001_4 0.353 0.006 60.356 0.000 0.353 0.627
.ph_p_pds_002_4 0.146 0.004 32.850 0.000 0.146 0.281
.ph_p_pds_003_4 0.286 0.006 50.255 0.000 0.286 0.461
.ph_p_pds_001_5 0.331 0.006 58.178 0.000 0.331 0.678
.ph_p_pds_002_5 0.116 0.004 30.633 0.000 0.116 0.293
.ph_p_pds_003_5 0.248 0.005 49.329 0.000 0.248 0.498
.ph_p_pds_001_6 0.338 0.008 44.172 0.000 0.338 0.738
.ph_p_pds_002_6 0.100 0.004 22.724 0.000 0.100 0.320
.ph_p_pds_003_6 0.233 0.006 38.513 0.000 0.233 0.550
pu_i 0.184 0.005 37.291 0.000 1.000 1.000
pu_s 0.159 0.007 23.474 0.000 1.000 1.000
pu_q 0.014 0.001 22.180 0.000 1.000 1.000
R-Square:
Estimate
a_etaB 0.858
a_eta2 0.738
a_eta4 0.841
asr_nxdp_cmp_0 0.695
asr_wthdp_cm_0 0.537
asr_soma_cmp_0 0.451
asr_thprb_cm_0 0.565
asr_ttprb_cm_0 0.589
asr_rlbrk_cm_0 0.394
asr_ggrss_cm_0 0.573
asr_intr_cmp_0 0.159
asr_nxdp_cmp_2 0.671
asr_wthdp_cm_2 0.533
asr_soma_cmp_2 0.441
asr_thprb_cm_2 0.592
asr_ttprb_cm_2 0.598
asr_rlbrk_cm_2 0.410
asr_ggrss_cm_2 0.574
asr_intr_cmp_2 0.168
asr_nxdp_cmp_4 0.645
asr_wthdp_cm_4 0.525
asr_soma_cmp_4 0.425
asr_thprb_cm_4 0.590
asr_ttprb_cm_4 0.557
asr_rlbrk_cm_4 0.409
asr_ggrss_cm_4 0.566
asr_intr_cmp_4 0.160
p_etaB 0.855
p_eta1 0.772
p_eta2 0.773
p_eta3 0.784
p_eta4 0.791
p_eta5 0.777
p_eta6 0.910
anxdep_comp_0 0.519
withdep_comp_0 0.503
soma_comp_0 0.303
socprob_comp_0 0.621
thouprob_cmp_0 0.620
attprob_comp_0 0.543
rulebrek_cmp_0 0.457
aggress_comp_0 0.570
anxdep_comp_1 0.507
withdep_comp_1 0.483
soma_comp_1 0.297
socprob_comp_1 0.635
thouprob_cmp_1 0.611
attprob_comp_1 0.544
rulebrek_cmp_1 0.453
aggress_comp_1 0.582
anxdep_comp_2 0.515
withdep_comp_2 0.427
soma_comp_2 0.311
socprob_comp_2 0.655
thouprob_cmp_2 0.635
attprob_comp_2 0.554
rulebrek_cmp_2 0.438
aggress_comp_2 0.588
anxdep_comp_3 0.497
withdep_comp_3 0.363
soma_comp_3 0.305
socprob_comp_3 0.670
thouprob_cmp_3 0.647
attprob_comp_3 0.552
rulebrek_cmp_3 0.420
aggress_comp_3 0.590
anxdep_comp_4 0.503
withdep_comp_4 0.315
soma_comp_4 0.273
socprob_comp_4 0.673
thouprob_cmp_4 0.653
attprob_comp_4 0.566
rulebrek_cmp_4 0.343
aggress_comp_4 0.617
anxdep_comp_5 0.489
withdep_comp_5 0.292
soma_comp_5 0.238
socprob_comp_5 0.676
thouprob_cmp_5 0.618
attprob_comp_5 0.554
rulebrek_cmp_5 0.275
aggress_comp_5 0.614
anxdep_comp_6 0.489
withdep_comp_6 0.287
soma_comp_6 0.216
socprob_comp_6 0.687
thouprob_cmp_6 0.648
attprob_comp_6 0.545
rulebrek_cmp_6 0.246
aggress_comp_6 0.633
p_i 0.505
p_s 0.575
p_q 0.388
g_etaB 0.927
g_eta2 0.952
g_eta4 0.912
g_eta6 0.817
flanker_0 0.193
flanker_2 0.268
flanker_4 0.311
flanker_6 0.371
pattern_0 0.416
pattern_2 0.425
pattern_4 0.429
pattern_6 0.498
picture_0 0.082
picture_2 0.077
picture_4 0.062
picture_6 0.078
picvocab_0 0.200
picvocab_2 0.192
picvocab_4 0.197
picvocab_6 0.242
reading_0 0.215
reading_2 0.230
reading_4 0.221
reading_6 0.251
pu_etaB 0.954
pu_eta1 0.766
pu_eta2 0.785
pu_eta3 0.804
pu_eta4 0.809
pu_eta5 0.832
pu_eta6 0.894
ph_p_pds_001_0 0.155
ph_p_pds_002_0 0.524
ph_p_pds_003_0 0.489
ph_p_pds_001_1 0.221
ph_p_pds_002_1 0.559
ph_p_pds_003_1 0.477
ph_p_pds_001_2 0.285
ph_p_pds_002_2 0.599
ph_p_pds_003_2 0.487
ph_p_pds_001_3 0.341
ph_p_pds_002_3 0.666
ph_p_pds_003_3 0.517
ph_p_pds_001_4 0.373
ph_p_pds_002_4 0.719
ph_p_pds_003_4 0.539
ph_p_pds_001_5 0.322
ph_p_pds_002_5 0.707
ph_p_pds_003_5 0.502
ph_p_pds_001_6 0.262
ph_p_pds_002_6 0.680
ph_p_pds_003_6 0.450
pc ~ pp + g + pu model with sex
Children’s psychopathology (pc) was regressed on parental psychopathology (pp), children’s cognitive functioning (g) and children’s puberty (pu), with sex as covariate.
model fit
# Add sex as covariate
pga_pu6.sex.model <- pga_pu6.model %>%
str_replace_all(
c(
"_i ~ 1" = "_i ~ 1 + dummy_sex",
"_s ~ 1" = "_s ~ 1 + dummy_sex",
"_q ~ 1" = "_q ~ 1 + dummy_sex",
"_i~1" = "_i~1 + dummy_sex",
"_s~1" = "_s~1 + dummy_sex",
"_q~1" = "_q~1 + dummy_sex"
)
)
writeLines(pga_pu6.sex.model)# second-order pp factor
#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#observed variable intercepts
asr_anxdep_comp_0~tau_AX*1
asr_withdep_comp_0~tau_AW*1
asr_soma_comp_0~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_attprob_comp_0~tau_AH*1
asr_rulebreak_comp_0~tau_AA*1
asr_aggress_comp_0~tau_AR*1
asr_intru_comp_0~tau_AG*1
asr_anxdep_comp_2~tau_AX*1
asr_withdep_comp_2~tau_AW*1
asr_soma_comp_2~tau_AS*1
asr_thouprob_comp_2~tau_AP*1
asr_attprob_comp_2~tau_AH*1
asr_rulebreak_comp_2~tau_AA*1
asr_aggress_comp_2~tau_AR*1
asr_intru_comp_2~tau_AG*1
asr_anxdep_comp_4~tau_AX*1
asr_withdep_comp_4~tau_AW*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_4~tau_AP*1
asr_attprob_comp_4~tau_AH*1
asr_rulebreak_comp_4~tau_AA*1
asr_aggress_comp_4~tau_AR*1
asr_intru_comp_4~tau_AG*1
#latent basis model
a_i =~ 1*a_etaB+1*a_eta2+1*a_eta4
a_s =~ 0*a_etaB+1*a_eta2+2*a_eta4
a_i~~NA*a_i
a_s~~NA*a_s
a_i~~a_s
a_i~1 + dummy_sex
a_s~1 + dummy_sex
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
# second-order pc factor
#factor loadings (with constraints)
p_etaB =~ 1*anxdep_comp_0+
lambda_CW*withdep_comp_0+
lambda_CS*soma_comp_0+
lambda_CC*socprob_comp_0+
lambda_CH*thouprob_comp_0+
lambda_CA*attprob_comp_0+
lambda_CR*rulebreak_comp_0+
lambda_CG*aggress_comp_0
p_eta1 =~ 1*anxdep_comp_1+
lambda_CW*withdep_comp_1+
lambda_CS*soma_comp_1+
lambda_CC*socprob_comp_1+
lambda_CH*thouprob_comp_1+
lambda_CA*attprob_comp_1+
lambda_CR*rulebreak_comp_1+
lambda_CG*aggress_comp_1
p_eta2 =~ 1*anxdep_comp_2+
lambda_CW*withdep_comp_2+
lambda_CS*soma_comp_2+
lambda_CC*socprob_comp_2+
lambda_CH*thouprob_comp_2+
lambda_CA*attprob_comp_2+
lambda_CR*rulebreak_comp_2+
lambda_CG*aggress_comp_2
p_eta3 =~ 1*anxdep_comp_3+
lambda_CW*withdep_comp_3+
lambda_CS*soma_comp_3+
lambda_CC*socprob_comp_3+
lambda_CH*thouprob_comp_3+
lambda_CA*attprob_comp_3+
lambda_CR*rulebreak_comp_3+
lambda_CG*aggress_comp_3
p_eta4 =~ 1*anxdep_comp_4+
lambda_CW*withdep_comp_4+
lambda_CS*soma_comp_4+
lambda_CC*socprob_comp_4+
lambda_CH*thouprob_comp_4+
lambda_CA*attprob_comp_4+
lambda_CR*rulebreak_comp_4+
lambda_CG*aggress_comp_4
p_eta5 =~ 1*anxdep_comp_5+
lambda_CW*withdep_comp_5+
lambda_CS*soma_comp_5+
lambda_CC*socprob_comp_5+
lambda_CH*thouprob_comp_5+
lambda_CA*attprob_comp_5+
lambda_CR*rulebreak_comp_5+
lambda_CG*aggress_comp_5
p_eta6 =~ 1*anxdep_comp_6+
lambda_CW*withdep_comp_6+
lambda_CS*soma_comp_6+
lambda_CC*socprob_comp_6+
lambda_CH*thouprob_comp_6+
lambda_CA*attprob_comp_6+
lambda_CR*rulebreak_comp_6+
lambda_CG*aggress_comp_6
#latent variable variances
p_etaB~~NA*p_etaB
p_eta1~~NA*p_eta1
p_eta2~~NA*p_eta2
p_eta3~~NA*p_eta3
p_eta4~~NA*p_eta4
p_eta5~~NA*p_eta5
p_eta6~~NA*p_eta6
#unique variances # No need to constrict these
anxdep_comp_0~~anxdep_comp_0
withdep_comp_0~~withdep_comp_0
soma_comp_0~~soma_comp_0
socprob_comp_0~~socprob_comp_0
thouprob_comp_0~~thouprob_comp_0
attprob_comp_0~~attprob_comp_0
rulebreak_comp_0~~rulebreak_comp_0
aggress_comp_0~~aggress_comp_0
anxdep_comp_1~~anxdep_comp_1
withdep_comp_1~~withdep_comp_1
soma_comp_1~~soma_comp_1
socprob_comp_1~~socprob_comp_1
thouprob_comp_1~~thouprob_comp_1
attprob_comp_1~~attprob_comp_1
rulebreak_comp_1~~rulebreak_comp_1
aggress_comp_1~~aggress_comp_1
anxdep_comp_2~~anxdep_comp_2
withdep_comp_2~~withdep_comp_2
soma_comp_2~~soma_comp_2
socprob_comp_2~~socprob_comp_2
thouprob_comp_2~~thouprob_comp_2
attprob_comp_2~~attprob_comp_2
rulebreak_comp_2~~rulebreak_comp_2
aggress_comp_2~~aggress_comp_2
anxdep_comp_3~~anxdep_comp_3
withdep_comp_3~~withdep_comp_3
soma_comp_3~~soma_comp_3
socprob_comp_3~~socprob_comp_3
thouprob_comp_3~~thouprob_comp_3
attprob_comp_3~~attprob_comp_3
rulebreak_comp_3~~rulebreak_comp_3
aggress_comp_3~~aggress_comp_3
anxdep_comp_4~~anxdep_comp_4
withdep_comp_4~~withdep_comp_4
soma_comp_4~~soma_comp_4
socprob_comp_4~~socprob_comp_4
thouprob_comp_4~~thouprob_comp_4
attprob_comp_4~~attprob_comp_4
rulebreak_comp_4~~rulebreak_comp_4
aggress_comp_4~~aggress_comp_4
anxdep_comp_5~~anxdep_comp_5
withdep_comp_5~~withdep_comp_5
soma_comp_5~~soma_comp_5
socprob_comp_5~~socprob_comp_5
thouprob_comp_5~~thouprob_comp_5
attprob_comp_5~~attprob_comp_5
rulebreak_comp_5~~rulebreak_comp_5
aggress_comp_5~~aggress_comp_5
anxdep_comp_6~~anxdep_comp_6
withdep_comp_6~~withdep_comp_6
soma_comp_6~~soma_comp_6
socprob_comp_6~~socprob_comp_6
thouprob_comp_6~~thouprob_comp_6
attprob_comp_6~~attprob_comp_6
rulebreak_comp_6~~rulebreak_comp_6
aggress_comp_6~~aggress_comp_6
#unique covariances
# Scores arcoss times
anxdep_comp_0~~anxdep_comp_1 + anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_1~~anxdep_comp_2 + anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_2~~anxdep_comp_3 + anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_3~~anxdep_comp_4 + anxdep_comp_5+ anxdep_comp_6
anxdep_comp_4~~anxdep_comp_5+ anxdep_comp_6
anxdep_comp_5~~anxdep_comp_6
withdep_comp_0~~withdep_comp_1 + withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_1~~withdep_comp_2 + withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_2~~withdep_comp_3 + withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_3~~withdep_comp_4 + withdep_comp_5 + withdep_comp_6
withdep_comp_4~~withdep_comp_5 + withdep_comp_6
withdep_comp_5~~withdep_comp_6
soma_comp_0~~soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_1~~soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_2~~soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_3~~soma_comp_4 + soma_comp_5 + soma_comp_6
soma_comp_4~~soma_comp_5 + soma_comp_6
soma_comp_5~~soma_comp_6
socprob_comp_0~~socprob_comp_1 + socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_1~~socprob_comp_2 + socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_2~~socprob_comp_3 + socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_3~~socprob_comp_4 + socprob_comp_5 + socprob_comp_6
socprob_comp_4~~socprob_comp_5 + socprob_comp_6
socprob_comp_5~~socprob_comp_6
thouprob_comp_0~~thouprob_comp_1 + thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_1~~thouprob_comp_2 + thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_2~~thouprob_comp_3 + thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_3~~thouprob_comp_4 + thouprob_comp_5 + thouprob_comp_6
thouprob_comp_4~~thouprob_comp_5 + thouprob_comp_6
thouprob_comp_5~~thouprob_comp_6
attprob_comp_0~~attprob_comp_1 + attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_1~~attprob_comp_2 + attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_2~~attprob_comp_3 + attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_3~~attprob_comp_4 + attprob_comp_5 + attprob_comp_6
attprob_comp_4~~attprob_comp_5 + attprob_comp_6
attprob_comp_5~~attprob_comp_6
rulebreak_comp_0~~rulebreak_comp_1 + rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_1~~rulebreak_comp_2 + rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_2~~rulebreak_comp_3 + rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_3~~rulebreak_comp_4 + rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_4~~rulebreak_comp_5 + rulebreak_comp_6
rulebreak_comp_5~~rulebreak_comp_6
aggress_comp_0~~aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_1~~aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_2~~aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_3~~aggress_comp_4 + aggress_comp_5 + aggress_comp_6
aggress_comp_4~~aggress_comp_5 + aggress_comp_6
aggress_comp_5~~aggress_comp_6
# Internalizeing subscale covariances
anxdep_comp_0~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_1~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_2~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_3~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_4~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_5~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
anxdep_comp_6~~withdep_comp_0 + soma_comp_0 + withdep_comp_1 + soma_comp_1 + withdep_comp_2 + soma_comp_2 + withdep_comp_3 + soma_comp_3 + withdep_comp_4 + soma_comp_4 + withdep_comp_5 + soma_comp_5 + withdep_comp_6 + soma_comp_6
withdep_comp_0~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_1~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_2~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_3~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_4~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_5~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
withdep_comp_6~~soma_comp_0 + soma_comp_1 + soma_comp_2 + soma_comp_3 + soma_comp_4 + soma_comp_5 + soma_comp_6
# Externalizeing subscale covariances
rulebreak_comp_0~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_1~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_2~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_3~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_4~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_5~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
rulebreak_comp_6~~aggress_comp_0 +aggress_comp_1 + aggress_comp_2 + aggress_comp_3 + aggress_comp_4 + aggress_comp_5 + aggress_comp_6
#observed variable intercepts
anxdep_comp_0~tau_CX*1
anxdep_comp_1~tau_CX*1
anxdep_comp_2~tau_CX*1
anxdep_comp_3~tau_CX*1
anxdep_comp_4~tau_CX*1
anxdep_comp_5~tau_CX*1
anxdep_comp_6~tau_CX*1
withdep_comp_0~tau_CW*1
withdep_comp_1~tau_CW*1
withdep_comp_2~tau_CW*1
withdep_comp_3~tau_CW*1
withdep_comp_4~tau_CW*1
withdep_comp_5~tau_CW*1
withdep_comp_6~tau_CW*1
soma_comp_0~tau_CS*1
soma_comp_1~tau_CS*1
soma_comp_2~tau_CS*1
soma_comp_3~tau_CS*1
soma_comp_4~tau_CS*1
soma_comp_5~tau_CS*1
soma_comp_6~tau_CS*1
socprob_comp_0~tau_CP*1
socprob_comp_1~tau_CP*1
socprob_comp_2~tau_CP*1
socprob_comp_3~tau_CP*1
socprob_comp_4~tau_CP*1
socprob_comp_5~tau_CP*1
socprob_comp_6~tau_CP*1
thouprob_comp_0~tau_CH*1
thouprob_comp_1~tau_CH*1
thouprob_comp_2~tau_CH*1
thouprob_comp_3~tau_CH*1
thouprob_comp_4~tau_CH*1
thouprob_comp_5~tau_CH*1
thouprob_comp_6~tau_CH*1
attprob_comp_0~tau_CA*1
attprob_comp_1~tau_CA*1
attprob_comp_2~tau_CA*1
attprob_comp_3~tau_CA*1
attprob_comp_4~tau_CA*1
attprob_comp_5~tau_CA*1
attprob_comp_6~tau_CA*1
rulebreak_comp_0~tau_CR*1
rulebreak_comp_1~tau_CR*1
rulebreak_comp_2~tau_CR*1
rulebreak_comp_3~tau_CR*1
rulebreak_comp_4~tau_CR*1
rulebreak_comp_5~tau_CR*1
rulebreak_comp_6~tau_CR*1
aggress_comp_0~tau_CG*1
aggress_comp_1~tau_CG*1
aggress_comp_2~tau_CG*1
aggress_comp_3~tau_CG*1
aggress_comp_4~tau_CG*1
aggress_comp_5~tau_CG*1
aggress_comp_6~tau_CG*1
#latent basis model
p_i =~ 1*p_etaB + 1*p_eta1 + 1*p_eta2 + 1*p_eta3 + 1*p_eta4 + 1*p_eta5 + 1*p_eta6
p_s =~ 0*p_etaB + .5*p_eta1 + 1*p_eta2 + 1.5*p_eta3 + 2*p_eta4 + 2.5*p_eta5 + 3*p_eta6
p_q =~ 0*p_etaB + .25*p_eta1 + 1*p_eta2 + 2.25*p_eta3 + 4*p_eta4 + 6.25*p_eta5 + 9*p_eta6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1 + dummy_sex
p_s~1 + dummy_sex
p_q~1 + dummy_sex
p_etaB ~ 0*1
p_eta1 ~ 0*1
p_eta2 ~ 0*1
p_eta3 ~ 0*1
p_eta4 ~ 0*1
p_eta5 ~ 0*1
p_eta6 ~ 0*1
# second-order g factor
#factor loadings # S & S2
g_etaB =~ 1*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ 1*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ 1*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ 1*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances
g_etaB~~NA*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1
#latent basis model
g_i =~ 1*g_etaB + 1*g_eta2 + 1*g_eta4 + 1*g_eta6
g_s =~ 0*g_etaB + 1*g_eta2 + 2*g_eta4 + 3*g_eta6
g_i~~NA*g_i
g_s~~NA*g_s
g_i~~g_s
g_i~1 + dummy_sex
g_s~1 + dummy_sex
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
# second-order puberty factor
#factor loadings
pu_etaB =~ 1*ph_p_pds_001_0 +
lambda_PR*ph_p_pds_002_0 +
lambda_PM*ph_p_pds_003_0
pu_eta1 =~ 1*ph_p_pds_001_1 +
lambda_PR*ph_p_pds_002_1 +
lambda_PM*ph_p_pds_003_1
pu_eta2 =~ 1*ph_p_pds_001_2 +
lambda_PR*ph_p_pds_002_2 +
lambda_PM*ph_p_pds_003_2
pu_eta3 =~ 1*ph_p_pds_001_3 +
lambda_PR*ph_p_pds_002_3 +
lambda_PM*ph_p_pds_003_3
pu_eta4 =~ 1*ph_p_pds_001_4 +
lambda_PR*ph_p_pds_002_4 +
lambda_PM*ph_p_pds_003_4
pu_eta5 =~ 1*ph_p_pds_001_5 +
lambda_PR*ph_p_pds_002_5 +
lambda_PM*ph_p_pds_003_5
pu_eta6 =~ 1*ph_p_pds_001_6 +
lambda_PR*ph_p_pds_002_6 +
lambda_PM*ph_p_pds_003_6
#latent variable variances
pu_etaB~~NA*pu_etaB
pu_eta1~~NA*pu_eta1
pu_eta2~~NA*pu_eta2
pu_eta3~~NA*pu_eta3
pu_eta4~~NA*pu_eta4
pu_eta5~~NA*pu_eta5
pu_eta6~~NA*pu_eta6
#unique variances
ph_p_pds_001_0 ~~ ph_p_pds_001_0
ph_p_pds_002_0 ~~ ph_p_pds_002_0
ph_p_pds_003_0 ~~ ph_p_pds_003_0
ph_p_pds_001_1 ~~ ph_p_pds_001_1
ph_p_pds_002_1 ~~ ph_p_pds_002_1
ph_p_pds_003_1 ~~ ph_p_pds_003_1
ph_p_pds_001_2 ~~ ph_p_pds_001_2
ph_p_pds_002_2 ~~ ph_p_pds_002_2
ph_p_pds_003_2 ~~ ph_p_pds_003_2
ph_p_pds_001_3 ~~ ph_p_pds_001_3
ph_p_pds_002_3 ~~ ph_p_pds_002_3
ph_p_pds_003_3 ~~ ph_p_pds_003_3
ph_p_pds_001_4 ~~ ph_p_pds_001_4
ph_p_pds_002_4 ~~ ph_p_pds_002_4
ph_p_pds_003_4 ~~ ph_p_pds_003_4
ph_p_pds_001_5 ~~ ph_p_pds_001_5
ph_p_pds_002_5 ~~ ph_p_pds_002_5
ph_p_pds_003_5 ~~ ph_p_pds_003_5
ph_p_pds_001_6 ~~ ph_p_pds_001_6
ph_p_pds_002_6 ~~ ph_p_pds_002_6
ph_p_pds_003_6 ~~ ph_p_pds_003_6
#unique covariances
ph_p_pds_001_0 ~~ ph_p_pds_001_1 + ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_1 ~~ ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_2 ~~ ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_3 ~~ ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_4 ~~ ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_5 ~~ ph_p_pds_001_6
ph_p_pds_002_0 ~~ ph_p_pds_002_1 + ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_1 ~~ ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_2 ~~ ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_3 ~~ ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_4 ~~ ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_5 ~~ ph_p_pds_002_6
ph_p_pds_003_0 ~~ ph_p_pds_003_1 + ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_1 ~~ ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_2 ~~ ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_3 ~~ ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_4 ~~ ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_5 ~~ ph_p_pds_003_6
#observed variable intercepts
ph_p_pds_001_0 ~ tau_PS*1
ph_p_pds_001_1 ~ tau_PS*1
ph_p_pds_001_2 ~ tau_PS*1
ph_p_pds_001_3 ~ tau_PS*1
ph_p_pds_001_4 ~ tau_PS*1
ph_p_pds_001_5 ~ tau_PS*1
ph_p_pds_001_6 ~ tau_PS*1
ph_p_pds_002_0 ~ tau_PR*1
ph_p_pds_002_1 ~ tau_PR*1
ph_p_pds_002_2 ~ tau_PR*1
ph_p_pds_002_3 ~ tau_PR*1
ph_p_pds_002_4 ~ tau_PR*1
ph_p_pds_002_5 ~ tau_PR*1
ph_p_pds_002_6 ~ tau_PR*1
ph_p_pds_003_0 ~ tau_PM*1
ph_p_pds_003_1 ~ tau_PM*1
ph_p_pds_003_2 ~ tau_PM*1
ph_p_pds_003_3 ~ tau_PM*1
ph_p_pds_003_4 ~ tau_PM*1
ph_p_pds_003_5 ~ tau_PM*1
ph_p_pds_003_6 ~ tau_PM*1
#latent basis model
pu_i =~ 1*pu_etaB + 1*pu_eta1 + 1*pu_eta2 + 1*pu_eta3 + 1*pu_eta4 + 1*pu_eta5 + 1*pu_eta6
pu_s =~ 0*pu_etaB + 0.5*pu_eta1 + 1*pu_eta2 + 1.5*pu_eta3 + 2*pu_eta4 + 2.5*pu_eta5 + 3*pu_eta6
pu_q =~ 0*pu_etaB + 0.25*pu_eta1 + 1*pu_eta2 + 2.25*pu_eta3 + 4*pu_eta4 + 6.25*pu_eta5 + 9*pu_eta6
pu_i~~NA*pu_i
pu_s~~NA*pu_s
pu_q~~NA*pu_q
pu_i~~pu_s + pu_q
pu_s~~pu_q
pu_i~1 + dummy_sex
pu_s~1 + dummy_sex
pu_q~1 + dummy_sex
pu_etaB~0*1
pu_eta1~0*1
pu_eta2~0*1
pu_eta3~0*1
pu_eta4~0*1
pu_eta5~0*1
pu_eta6~0*1
# regression
p_i ~ g_i + a_i + pu_i
p_s ~ g_i + g_s + a_i + a_s + pu_i + pu_s + pu_q
p_q ~ g_i + g_s + a_i + a_s + pu_i + pu_s + pu_q
lavaan(pga_pu6.sex.model,
data = readRDS("pga6_all_data_sex.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = T,
std.lv = T
) %>%
saveRDS("pgcm_pga_pu6_sex_model.rds")result
readRDS("pgcm_pga_pu6_sex_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_pga_pu6_sex_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_pga_pu6_sex_model.rds"), "cor.lv"))$value [1] 7.933926608 5.921780599 4.657162664 3.223973261 2.242743684 1.363806493
[7] 0.984756040 0.955060981 0.725917961 0.367334050 0.228339435 0.226518022
[13] 0.217649834 0.217489028 0.212543924 0.198544077 0.188171719 0.186856633
[19] 0.156892266 0.154690096 0.138906443 0.119597504 0.095622859 0.079391573
[25] 0.059006478 0.053185033 0.039614462 0.024810918 0.016393588 0.006751325
[31] 0.002562441
readRDS("pgcm_pga_pu6_sex_result.rds")lavaan 0.6-19 ended normally after 423 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 969
Number of equality constraints 177
Number of observations 11867
Number of missing patterns 2198
Model Test User Model:
Test statistic 51778.537
Degrees of freedom 6831
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 902544.302
Degrees of freedom 7381
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.950
Tucker-Lewis Index (TLI) 0.946
Robust Comparative Fit Index (CFI) 0.949
Robust Tucker-Lewis Index (TLI) 0.945
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -1153793.631
Loglikelihood unrestricted model (H1) -1127904.363
Akaike (AIC) 2309171.262
Bayesian (BIC) 2315017.423
Sample-size adjusted Bayesian (SABIC) 2312500.538
Root Mean Square Error of Approximation:
RMSEA 0.024
90 Percent confidence interval - lower 0.023
90 Percent confidence interval - upper 0.024
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.027
90 Percent confidence interval - lower 0.027
90 Percent confidence interval - upper 0.027
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.054
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.842 0.834
asr___0 (l_AW) 0.891 0.007 126.540 0.000 0.750 0.733
asr___0 (l_AS) 0.799 0.007 112.093 0.000 0.673 0.672
asr___0 (l_AC) 0.929 0.007 125.433 0.000 0.783 0.752
asr___0 (l_AH) 0.907 0.007 131.157 0.000 0.764 0.767
asr___0 (l_AA) 0.779 0.008 98.165 0.000 0.656 0.628
asr___0 (l_AR) 0.921 0.007 125.137 0.000 0.776 0.757
asr___0 (l_AG) 0.489 0.008 59.991 0.000 0.412 0.399
a_eta2 =~
asr___2 1.000 0.832 0.819
asr___2 (l_AW) 0.891 0.007 126.540 0.000 0.741 0.730
asr___2 (l_AS) 0.799 0.007 112.093 0.000 0.665 0.664
asr___2 (l_AC) 0.929 0.007 125.433 0.000 0.773 0.769
asr___2 (l_AH) 0.907 0.007 131.157 0.000 0.755 0.773
asr___2 (l_AA) 0.779 0.008 98.165 0.000 0.648 0.640
asr___2 (l_AR) 0.921 0.007 125.137 0.000 0.766 0.758
asr___2 (l_AG) 0.489 0.008 59.991 0.000 0.407 0.409
a_eta4 =~
asr___4 1.000 0.801 0.803
asr___4 (l_AW) 0.891 0.007 126.540 0.000 0.714 0.725
asr___4 (l_AS) 0.799 0.007 112.093 0.000 0.640 0.652
asr___4 (l_AC) 0.929 0.007 125.433 0.000 0.744 0.768
asr___4 (l_AH) 0.907 0.007 131.157 0.000 0.726 0.746
asr___4 (l_AA) 0.779 0.008 98.165 0.000 0.623 0.640
asr___4 (l_AR) 0.921 0.007 125.137 0.000 0.737 0.752
asr___4 (l_AG) 0.489 0.008 59.991 0.000 0.391 0.400
a_i =~
a_etaB 1.000 0.926 0.926
a_eta2 1.000 0.937 0.937
a_eta4 1.000 0.974 0.974
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.301 0.301
a_eta4 2.000 0.626 0.626
p_etaB =~
anxd__0 1.000 0.740 0.719
wthd__0 (l_CW) 0.863 0.006 141.050 0.000 0.639 0.708
sm_cm_0 (l_CS) 0.739 0.007 110.901 0.000 0.547 0.549
scpr__0 (l_CC) 1.118 0.007 153.791 0.000 0.827 0.787
thpr__0 (l_CH) 1.104 0.007 152.344 0.000 0.817 0.788
attp__0 (l_CA) 0.995 0.007 142.719 0.000 0.737 0.738
rlbr__0 (l_CR) 0.858 0.007 120.405 0.000 0.635 0.676
aggr__0 (l_CG) 1.066 0.007 147.020 0.000 0.789 0.755
p_eta1 =~
anxd__1 1.000 0.735 0.711
wthd__1 (l_CW) 0.863 0.006 141.050 0.000 0.635 0.694
sm_cm_1 (l_CS) 0.739 0.007 110.901 0.000 0.543 0.544
scpr__1 (l_CC) 1.118 0.007 153.791 0.000 0.822 0.796
thpr__1 (l_CH) 1.104 0.007 152.344 0.000 0.812 0.782
attp__1 (l_CA) 0.995 0.007 142.719 0.000 0.731 0.739
rlbr__1 (l_CR) 0.858 0.007 120.405 0.000 0.631 0.673
aggr__1 (l_CG) 1.066 0.007 147.020 0.000 0.784 0.763
p_eta2 =~
anxd__2 1.000 0.727 0.716
wthd__2 (l_CW) 0.863 0.006 141.050 0.000 0.628 0.653
sm_cm_2 (l_CS) 0.739 0.007 110.901 0.000 0.537 0.557
scpr__2 (l_CC) 1.118 0.007 153.791 0.000 0.813 0.808
thpr__2 (l_CH) 1.104 0.007 152.344 0.000 0.803 0.797
attp__2 (l_CA) 0.995 0.007 142.719 0.000 0.723 0.745
rlbr__2 (l_CR) 0.858 0.007 120.405 0.000 0.624 0.662
aggr__2 (l_CG) 1.066 0.007 147.020 0.000 0.775 0.767
p_eta3 =~
anxd__3 1.000 0.720 0.704
wthd__3 (l_CW) 0.863 0.006 141.050 0.000 0.622 0.602
sm_cm_3 (l_CS) 0.739 0.007 110.901 0.000 0.532 0.552
scpr__3 (l_CC) 1.118 0.007 153.791 0.000 0.805 0.818
thpr__3 (l_CH) 1.104 0.007 152.344 0.000 0.795 0.804
attp__3 (l_CA) 0.995 0.007 142.719 0.000 0.717 0.743
rlbr__3 (l_CR) 0.858 0.007 120.405 0.000 0.618 0.648
aggr__3 (l_CG) 1.066 0.007 147.020 0.000 0.768 0.768
p_eta4 =~
anxd__4 1.000 0.708 0.709
wthd__4 (l_CW) 0.863 0.006 141.050 0.000 0.611 0.560
sm_cm_4 (l_CS) 0.739 0.007 110.901 0.000 0.523 0.522
scpr__4 (l_CC) 1.118 0.007 153.791 0.000 0.791 0.820
thpr__4 (l_CH) 1.104 0.007 152.344 0.000 0.782 0.808
attp__4 (l_CA) 0.995 0.007 142.719 0.000 0.704 0.752
rlbr__4 (l_CR) 0.858 0.007 120.405 0.000 0.607 0.586
aggr__4 (l_CG) 1.066 0.007 147.020 0.000 0.755 0.785
p_eta5 =~
anxd__5 1.000 0.705 0.699
wthd__5 (l_CW) 0.863 0.006 141.050 0.000 0.609 0.540
sm_cm_5 (l_CS) 0.739 0.007 110.901 0.000 0.521 0.487
scpr__5 (l_CC) 1.118 0.007 153.791 0.000 0.788 0.822
thpr__5 (l_CH) 1.104 0.007 152.344 0.000 0.779 0.786
attp__5 (l_CA) 0.995 0.007 142.719 0.000 0.702 0.744
rlbr__5 (l_CR) 0.858 0.007 120.405 0.000 0.605 0.524
aggr__5 (l_CG) 1.066 0.007 147.020 0.000 0.751 0.783
p_eta6 =~
anxd__6 1.000 0.671 0.699
wthd__6 (l_CW) 0.863 0.006 141.050 0.000 0.579 0.535
sm_cm_6 (l_CS) 0.739 0.007 110.901 0.000 0.496 0.465
scpr__6 (l_CC) 1.118 0.007 153.791 0.000 0.750 0.829
thpr__6 (l_CH) 1.104 0.007 152.344 0.000 0.741 0.805
attp__6 (l_CA) 0.995 0.007 142.719 0.000 0.667 0.738
rlbr__6 (l_CR) 0.858 0.007 120.405 0.000 0.575 0.496
aggr__6 (l_CG) 1.066 0.007 147.020 0.000 0.715 0.795
p_i =~
p_etaB 1.000 0.924 0.924
p_eta1 1.000 0.931 0.931
p_eta2 1.000 0.941 0.941
p_eta3 1.000 0.950 0.950
p_eta4 1.000 0.967 0.967
p_eta5 1.000 0.970 0.970
p_eta6 1.000 1.020 1.020
p_s =~
p_etaB 0.000 0.000 0.000
p_eta1 0.500 0.289 0.289
p_eta2 1.000 0.585 0.585
p_eta3 1.500 0.885 0.885
p_eta4 2.000 1.201 1.201
p_eta5 2.500 1.507 1.507
p_eta6 3.000 1.902 1.902
p_q =~
p_etaB 0.000 0.000 0.000
p_eta1 0.250 0.042 0.042
p_eta2 1.000 0.168 0.168
p_eta3 2.250 0.382 0.382
p_eta4 4.000 0.690 0.690
p_eta5 6.250 1.083 1.083
p_eta6 9.000 1.640 1.640
g_etaB =~
flnkr_0 1.000 0.403 0.438
pttrn_0 (lm_R) 1.218 0.011 112.681 0.000 0.491 0.646
pictr_0 (lm_M) 0.599 0.009 64.799 0.000 0.242 0.287
pcvcb_0 (lm_P) 0.929 0.009 107.753 0.000 0.375 0.447
redng_0 (lm_V) 0.981 0.009 111.467 0.000 0.396 0.463
g_eta2 =~
flnkr_2 1.000 0.412 0.517
pttrn_2 (lm_R) 1.218 0.011 112.681 0.000 0.502 0.653
pictr_2 (lm_M) 0.599 0.009 64.799 0.000 0.247 0.277
pcvcb_2 (lm_P) 0.929 0.009 107.753 0.000 0.383 0.437
redng_2 (lm_V) 0.981 0.009 111.467 0.000 0.404 0.479
g_eta4 =~
flnkr_4 1.000 0.442 0.557
pttrn_4 (lm_R) 1.218 0.011 112.681 0.000 0.539 0.656
pictr_4 (lm_M) 0.599 0.009 64.799 0.000 0.265 0.250
pcvcb_4 (lm_P) 0.929 0.009 107.753 0.000 0.411 0.444
redng_4 (lm_V) 0.981 0.009 111.467 0.000 0.434 0.470
g_eta6 =~
flnkr_6 1.000 0.495 0.608
pttrn_6 (lm_R) 1.218 0.011 112.681 0.000 0.603 0.706
pictr_6 (lm_M) 0.599 0.009 64.799 0.000 0.297 0.280
pcvcb_6 (lm_P) 0.929 0.009 107.753 0.000 0.460 0.492
redng_6 (lm_V) 0.981 0.009 111.467 0.000 0.486 0.501
g_i =~
g_etaB 1.000 0.963 0.963
g_eta2 1.000 0.942 0.942
g_eta4 1.000 0.878 0.878
g_eta6 1.000 0.784 0.784
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.127 0.127
g_eta4 2.000 0.237 0.237
g_eta6 3.000 0.318 0.318
pu_etaB =~
p___001 1.000 0.441 0.396
p___002 (l_PR) 1.343 0.010 141.242 0.000 0.593 0.731
p___003 (l_PM) 1.253 0.009 136.297 0.000 0.553 0.694
pu_eta1 =~
p___001 1.000 0.483 0.471
p___002 (l_PR) 1.343 0.010 141.242 0.000 0.648 0.758
p___003 (l_PM) 1.253 0.009 136.297 0.000 0.605 0.685
pu_eta2 =~
p___001 1.000 0.497 0.535
p___002 (l_PR) 1.343 0.010 141.242 0.000 0.667 0.787
p___003 (l_PM) 1.253 0.009 136.297 0.000 0.622 0.692
pu_eta3 =~
p___001 1.000 0.495 0.586
p___002 (l_PR) 1.343 0.010 141.242 0.000 0.665 0.831
p___003 (l_PM) 1.253 0.009 136.297 0.000 0.620 0.713
pu_eta4 =~
p___001 1.000 0.464 0.615
p___002 (l_PR) 1.343 0.010 141.242 0.000 0.623 0.865
p___003 (l_PM) 1.253 0.009 136.297 0.000 0.581 0.725
pu_eta5 =~
p___001 1.000 0.402 0.576
p___002 (l_PR) 1.343 0.010 141.242 0.000 0.541 0.860
p___003 (l_PM) 1.253 0.009 136.297 0.000 0.504 0.699
pu_eta6 =~
p___001 1.000 0.349 0.519
p___002 (l_PR) 1.343 0.010 141.242 0.000 0.469 0.846
p___003 (l_PM) 1.253 0.009 136.297 0.000 0.438 0.659
pu_i =~
pu_etaB 1.000 0.974 0.974
pu_eta1 1.000 0.890 0.890
pu_eta2 1.000 0.865 0.865
pu_eta3 1.000 0.868 0.868
pu_eta4 1.000 0.927 0.927
pu_eta5 1.000 1.068 1.068
pu_eta6 1.000 1.230 1.230
pu_s =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.500 0.412 0.412
pu_eta2 1.000 0.802 0.802
pu_eta3 1.500 1.207 1.207
pu_eta4 2.000 1.718 1.718
pu_eta5 2.500 2.474 2.474
pu_eta6 3.000 3.420 3.420
pu_q =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.250 0.062 0.062
pu_eta2 1.000 0.240 0.240
pu_eta3 2.250 0.541 0.541
pu_eta4 4.000 1.027 1.027
pu_eta5 6.250 1.849 1.849
pu_eta6 9.000 3.067 3.067
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_i ~
dummy_sex 0.031 0.016 1.938 0.053 0.040 0.020
a_s ~
dummy_sex -0.015 0.007 -2.036 0.042 -0.059 -0.029
p_i ~
dummy_sex 0.143 0.013 10.891 0.000 0.208 0.104
p_s ~
dummy_sex -0.042 0.018 -2.342 0.019 -0.099 -0.050
p_q ~
dummy_sex -0.008 0.006 -1.417 0.156 -0.069 -0.034
g_i ~
dummy_sex -0.041 0.009 -4.395 0.000 -0.105 -0.052
g_s ~
dummy_sex 0.004 0.003 1.164 0.244 0.077 0.038
pu_i ~
dummy_sex -0.273 0.010 -28.330 0.000 -0.636 -0.318
pu_s ~
dummy_sex -0.220 0.011 -19.406 0.000 -0.553 -0.276
pu_q ~
dummy_sex 0.062 0.004 16.903 0.000 0.518 0.259
p_i ~
g_i -0.259 0.019 -13.589 0.000 -0.147 -0.147
a_i 0.606 0.010 59.194 0.000 0.691 0.691
pu_i 0.047 0.018 2.627 0.009 0.029 0.029
p_s ~
g_i 0.086 0.028 3.042 0.002 0.079 0.079
g_s -0.883 0.437 -2.022 0.043 -0.109 -0.109
a_i 0.016 0.012 1.368 0.171 0.029 0.029
a_s 1.290 0.065 19.806 0.000 0.761 0.761
pu_i -0.029 0.037 -0.766 0.443 -0.029 -0.029
pu_s 0.048 0.100 0.476 0.634 0.045 0.045
pu_q 0.135 0.347 0.389 0.698 0.038 0.038
p_q ~
g_i -0.018 0.009 -1.890 0.059 -0.056 -0.056
g_s 0.243 0.144 1.685 0.092 0.104 0.104
a_i -0.018 0.004 -5.034 0.000 -0.116 -0.116
a_s -0.317 0.019 -16.844 0.000 -0.650 -0.650
pu_i 0.012 0.013 0.980 0.327 0.043 0.043
pu_s 0.019 0.034 0.552 0.581 0.061 0.061
pu_q 0.066 0.116 0.571 0.568 0.065 0.065
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.181 0.005 36.973 0.000 0.181 0.557
.asr_nxdp_cmp_4 0.165 0.005 32.636 0.000 0.165 0.497
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.201 0.005 37.268 0.000 0.201 0.582
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.228 0.006 37.167 0.000 0.228 0.471
.asr_wthdp_cm_4 0.206 0.006 33.222 0.000 0.206 0.436
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.225 0.006 35.561 0.000 0.225 0.478
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.275 0.007 40.926 0.000 0.275 0.495
.asr_soma_cmp_4 0.240 0.007 35.089 0.000 0.240 0.434
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.282 0.007 39.222 0.000 0.282 0.506
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.192 0.005 35.462 0.000 0.192 0.437
.asr_thprb_cm_4 0.160 0.005 29.461 0.000 0.160 0.377
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.168 0.005 31.880 0.000 0.168 0.422
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.254 0.005 48.595 0.000 0.254 0.644
.asr_ttprb_cm_4 0.248 0.006 44.917 0.000 0.248 0.599
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.267 0.006 47.612 0.000 0.267 0.666
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.305 0.007 41.526 0.000 0.305 0.483
.asr_rlbrk_cm_4 0.261 0.007 35.963 0.000 0.261 0.429
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.284 0.007 38.850 0.000 0.284 0.487
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.243 0.006 43.321 0.000 0.243 0.551
.asr_ggrss_cm_4 0.220 0.006 39.263 0.000 0.220 0.508
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.248 0.006 42.713 0.000 0.248 0.582
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.495 0.010 51.818 0.000 0.495 0.576
.asr_intr_cmp_4 0.464 0.010 47.898 0.000 0.464 0.546
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.473 0.010 49.571 0.000 0.473 0.582
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.019 0.005 3.831 0.000 0.019 0.049
.asr_soma_cmp_0 0.026 0.005 5.100 0.000 0.026 0.063
.asr_wthdp_cm_2 0.019 0.005 3.918 0.000 0.019 0.049
.asr_soma_cmp_2 0.032 0.005 6.173 0.000 0.032 0.076
.asr_wthdp_cm_4 0.017 0.005 3.386 0.001 0.017 0.045
.asr_soma_cmp_4 0.030 0.005 5.663 0.000 0.030 0.073
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 0.009 0.005 1.800 0.072 0.009 0.022
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.025 0.005 4.796 0.000 0.025 0.057
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.035 0.005 6.773 0.000 0.035 0.088
.asr_soma_cmp_2 0.045 0.005 8.194 0.000 0.045 0.103
.asr_wthdp_cm_4 0.022 0.005 4.250 0.000 0.022 0.056
.asr_soma_cmp_4 0.027 0.006 4.831 0.000 0.027 0.061
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 0.001 0.005 0.148 0.882 0.001 0.002
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.023 0.005 4.303 0.000 0.023 0.053
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.016 0.005 3.087 0.002 0.016 0.040
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.042 0.006 7.401 0.000 0.042 0.094
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.041 0.006 7.383 0.000 0.041 0.101
.asr_soma_cmp_4 0.057 0.006 9.724 0.000 0.057 0.129
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.033 0.006 -5.722 0.000 -0.033 -0.063
.asr_soma_cmp_2 -0.021 0.006 -3.526 0.000 -0.021 -0.039
.asr_soma_cmp_4 -0.035 0.006 -5.699 0.000 -0.035 -0.067
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.014 0.006 -2.487 0.013 -0.014 -0.028
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.016 0.006 -2.723 0.006 -0.016 -0.031
.asr_soma_cmp_4 -0.023 0.006 -3.675 0.000 -0.023 -0.044
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.017 0.006 -2.838 0.005 -0.017 -0.033
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.021 0.006 -3.476 0.001 -0.021 -0.042
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.022 0.006 -3.594 0.000 -0.022 -0.044
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.131 0.007 19.516 0.000 0.131 0.207
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.073 0.006 12.329 0.000 0.073 0.135
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.084 0.006 13.045 0.000 0.084 0.139
.asr_rlbrk_cm_2 0.025 0.006 4.305 0.000 0.025 0.047
.asr_intr_cmp_4 0.093 0.007 13.912 0.000 0.093 0.154
.asr_rlbrk_cm_4 0.032 0.006 5.478 0.000 0.032 0.063
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.093 0.007 13.979 0.000 0.093 0.148
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.050 0.006 8.547 0.000 0.050 0.094
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.136 0.007 20.639 0.000 0.136 0.227
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.045 0.006 7.832 0.000 0.045 0.088
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.107 0.007 15.867 0.000 0.107 0.180
.asr_rlbrk_cm_4 0.043 0.006 7.282 0.000 0.043 0.086
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.095 0.007 13.984 0.000 0.095 0.156
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.056 0.006 9.310 0.000 0.056 0.107
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.102 0.007 15.322 0.000 0.102 0.174
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.047 0.006 7.884 0.000 0.047 0.093
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.137 0.007 20.045 0.000 0.137 0.236
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.064 0.006 10.881 0.000 0.064 0.133
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.119 0.008 15.473 0.000 0.119 0.155
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.067 0.007 8.999 0.000 0.067 0.091
.asr_rlbrk_cm_4 0.072 0.008 9.450 0.000 0.072 0.101
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.072 0.008 9.533 0.000 0.072 0.097
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.111 0.007 15.165 0.000 0.111 0.158
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.071 0.007 9.520 0.000 0.071 0.104
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.086 0.008 10.995 0.000 0.086 0.117
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.078 0.008 10.263 0.000 0.078 0.112
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.110 0.008 14.574 0.000 0.110 0.163
.a_i ~~
.a_s -0.080 0.004 -18.227 0.000 -0.409 -0.409
.anxdep_comp_0 ~~
.anxdep_comp_1 0.315 0.006 48.685 0.000 0.315 0.606
.anxdep_comp_2 0.277 0.006 44.793 0.000 0.277 0.547
.anxdep_comp_3 0.251 0.006 40.038 0.000 0.251 0.484
.anxdep_comp_4 0.224 0.006 36.627 0.000 0.224 0.445
.anxdep_comp_5 0.205 0.006 32.015 0.000 0.205 0.397
.anxdep_comp_6 0.183 0.007 25.329 0.000 0.183 0.373
.anxdep_comp_1 ~~
.anxdep_comp_2 0.306 0.006 47.410 0.000 0.306 0.595
.anxdep_comp_3 0.274 0.007 42.158 0.000 0.274 0.519
.anxdep_comp_4 0.234 0.006 37.214 0.000 0.234 0.458
.anxdep_comp_5 0.228 0.007 34.433 0.000 0.228 0.434
.anxdep_comp_6 0.198 0.007 26.565 0.000 0.198 0.397
.anxdep_comp_2 ~~
.anxdep_comp_3 0.318 0.007 48.130 0.000 0.318 0.619
.anxdep_comp_4 0.271 0.006 42.825 0.000 0.271 0.543
.anxdep_comp_5 0.252 0.007 38.583 0.000 0.252 0.493
.anxdep_comp_6 0.221 0.007 30.472 0.000 0.221 0.455
.anxdep_comp_3 ~~
.anxdep_comp_4 0.306 0.007 45.694 0.000 0.306 0.598
.anxdep_comp_5 0.287 0.007 41.373 0.000 0.287 0.547
.anxdep_comp_6 0.245 0.007 32.974 0.000 0.245 0.492
.anxdep_comp_4 ~~
.anxdep_comp_5 0.333 0.007 46.854 0.000 0.333 0.656
.anxdep_comp_6 0.270 0.008 36.001 0.000 0.270 0.560
.anxdep_comp_5 ~~
.anxdep_comp_6 0.308 0.008 38.824 0.000 0.308 0.623
.withdep_comp_0 ~~
.withdep_comp_1 0.235 0.005 44.885 0.000 0.235 0.561
.withdep_comp_2 0.197 0.005 36.745 0.000 0.197 0.426
.withdep_comp_3 0.162 0.006 27.382 0.000 0.162 0.309
.withdep_comp_4 0.126 0.007 19.246 0.000 0.126 0.219
.withdep_comp_5 0.105 0.007 14.777 0.000 0.105 0.175
.withdep_comp_6 0.083 0.008 10.138 0.000 0.083 0.143
.withdep_comp_1 ~~
.withdep_comp_2 0.257 0.006 44.564 0.000 0.257 0.536
.withdep_comp_3 0.235 0.006 37.104 0.000 0.235 0.434
.withdep_comp_4 0.200 0.007 28.766 0.000 0.200 0.336
.withdep_comp_5 0.181 0.008 24.045 0.000 0.181 0.290
.withdep_comp_6 0.145 0.008 17.161 0.000 0.145 0.242
.withdep_comp_2 ~~
.withdep_comp_3 0.336 0.007 45.615 0.000 0.336 0.561
.withdep_comp_4 0.310 0.008 38.519 0.000 0.310 0.471
.withdep_comp_5 0.286 0.009 33.147 0.000 0.286 0.414
.withdep_comp_6 0.240 0.010 24.370 0.000 0.240 0.361
.withdep_comp_3 ~~
.withdep_comp_4 0.440 0.010 45.797 0.000 0.440 0.592
.withdep_comp_5 0.426 0.010 41.530 0.000 0.426 0.544
.withdep_comp_6 0.355 0.011 31.865 0.000 0.355 0.472
.withdep_comp_4 ~~
.withdep_comp_5 0.560 0.012 47.256 0.000 0.560 0.653
.withdep_comp_6 0.474 0.013 37.622 0.000 0.474 0.574
.withdep_comp_5 ~~
.withdep_comp_6 0.570 0.014 41.313 0.000 0.570 0.657
.soma_comp_0 ~~
.soma_comp_1 0.355 0.008 45.900 0.000 0.355 0.510
.soma_comp_2 0.300 0.007 40.801 0.000 0.300 0.451
.soma_comp_3 0.267 0.007 36.192 0.000 0.267 0.399
.soma_comp_4 0.254 0.008 32.014 0.000 0.254 0.357
.soma_comp_5 0.250 0.009 27.986 0.000 0.250 0.322
.soma_comp_6 0.245 0.011 22.869 0.000 0.245 0.312
.soma_comp_1 ~~
.soma_comp_2 0.336 0.008 44.265 0.000 0.336 0.501
.soma_comp_3 0.292 0.008 38.653 0.000 0.292 0.435
.soma_comp_4 0.278 0.008 34.423 0.000 0.278 0.388
.soma_comp_5 0.281 0.009 30.868 0.000 0.281 0.359
.soma_comp_6 0.257 0.011 23.564 0.000 0.257 0.325
.soma_comp_2 ~~
.soma_comp_3 0.325 0.007 43.652 0.000 0.325 0.505
.soma_comp_4 0.304 0.008 38.352 0.000 0.304 0.444
.soma_comp_5 0.298 0.009 33.920 0.000 0.298 0.398
.soma_comp_6 0.273 0.010 26.499 0.000 0.273 0.362
.soma_comp_3 ~~
.soma_comp_4 0.339 0.008 41.284 0.000 0.339 0.494
.soma_comp_5 0.327 0.009 36.004 0.000 0.327 0.436
.soma_comp_6 0.313 0.011 29.645 0.000 0.313 0.412
.soma_comp_4 ~~
.soma_comp_5 0.442 0.010 43.329 0.000 0.442 0.553
.soma_comp_6 0.412 0.012 34.566 0.000 0.412 0.510
.soma_comp_5 ~~
.soma_comp_6 0.523 0.013 39.143 0.000 0.523 0.593
.socprob_comp_0 ~~
.socprob_comp_1 0.197 0.005 36.652 0.000 0.197 0.485
.socprob_comp_2 0.161 0.005 32.108 0.000 0.161 0.418
.socprob_comp_3 0.126 0.005 26.413 0.000 0.126 0.344
.socprob_comp_4 0.102 0.005 21.732 0.000 0.102 0.286
.socprob_comp_5 0.091 0.005 19.017 0.000 0.091 0.257
.socprob_comp_6 0.075 0.005 13.900 0.000 0.075 0.228
.socprob_comp_1 ~~
.socprob_comp_2 0.178 0.005 35.612 0.000 0.178 0.480
.socprob_comp_3 0.142 0.005 29.794 0.000 0.142 0.400
.socprob_comp_4 0.113 0.005 24.265 0.000 0.113 0.326
.socprob_comp_5 0.098 0.005 20.807 0.000 0.098 0.286
.socprob_comp_6 0.090 0.005 17.115 0.000 0.090 0.286
.socprob_comp_2 ~~
.socprob_comp_3 0.160 0.005 34.090 0.000 0.160 0.478
.socprob_comp_4 0.136 0.005 29.900 0.000 0.136 0.418
.socprob_comp_5 0.114 0.005 24.835 0.000 0.114 0.354
.socprob_comp_6 0.103 0.005 20.507 0.000 0.103 0.344
.socprob_comp_3 ~~
.socprob_comp_4 0.145 0.005 31.962 0.000 0.145 0.463
.socprob_comp_5 0.130 0.005 28.137 0.000 0.130 0.421
.socprob_comp_6 0.112 0.005 22.532 0.000 0.112 0.392
.socprob_comp_4 ~~
.socprob_comp_5 0.156 0.005 33.077 0.000 0.156 0.517
.socprob_comp_6 0.133 0.005 26.081 0.000 0.133 0.477
.socprob_comp_5 ~~
.socprob_comp_6 0.152 0.005 28.686 0.000 0.152 0.549
.thouprob_comp_0 ~~
.thouprob_cmp_1 0.200 0.005 37.766 0.000 0.200 0.482
.thouprob_cmp_2 0.159 0.005 32.335 0.000 0.159 0.410
.thouprob_cmp_3 0.135 0.005 28.054 0.000 0.135 0.359
.thouprob_cmp_4 0.118 0.005 24.690 0.000 0.118 0.324
.thouprob_cmp_5 0.114 0.005 21.962 0.000 0.114 0.291
.thouprob_cmp_6 0.085 0.006 14.792 0.000 0.085 0.244
.thouprob_comp_1 ~~
.thouprob_cmp_2 0.189 0.005 36.598 0.000 0.189 0.479
.thouprob_cmp_3 0.155 0.005 31.051 0.000 0.155 0.408
.thouprob_cmp_4 0.135 0.005 27.401 0.000 0.135 0.365
.thouprob_cmp_5 0.142 0.005 26.605 0.000 0.142 0.358
.thouprob_cmp_6 0.102 0.006 17.649 0.000 0.102 0.289
.thouprob_comp_2 ~~
.thouprob_cmp_3 0.161 0.005 33.185 0.000 0.161 0.450
.thouprob_cmp_4 0.134 0.005 28.412 0.000 0.134 0.386
.thouprob_cmp_5 0.134 0.005 26.149 0.000 0.134 0.358
.thouprob_cmp_6 0.094 0.006 16.917 0.000 0.094 0.282
.thouprob_comp_3 ~~
.thouprob_cmp_4 0.141 0.005 29.917 0.000 0.141 0.421
.thouprob_cmp_5 0.133 0.005 26.123 0.000 0.133 0.370
.thouprob_cmp_6 0.093 0.005 17.229 0.000 0.093 0.291
.thouprob_comp_4 ~~
.thouprob_cmp_5 0.173 0.005 33.257 0.000 0.173 0.495
.thouprob_cmp_6 0.127 0.005 23.169 0.000 0.127 0.408
.thouprob_comp_5 ~~
.thouprob_cmp_6 0.168 0.006 27.739 0.000 0.168 0.502
.attprob_comp_0 ~~
.attprob_comp_1 0.303 0.006 51.720 0.000 0.303 0.673
.attprob_comp_2 0.268 0.006 48.153 0.000 0.268 0.614
.attprob_comp_3 0.248 0.006 45.051 0.000 0.248 0.571
.attprob_comp_4 0.217 0.005 41.023 0.000 0.217 0.522
.attprob_comp_5 0.217 0.006 39.399 0.000 0.217 0.511
.attprob_comp_6 0.192 0.006 31.479 0.000 0.192 0.467
.attprob_comp_1 ~~
.attprob_comp_2 0.290 0.006 50.811 0.000 0.290 0.670
.attprob_comp_3 0.265 0.006 47.330 0.000 0.265 0.616
.attprob_comp_4 0.227 0.005 42.464 0.000 0.227 0.551
.attprob_comp_5 0.229 0.006 41.345 0.000 0.229 0.542
.attprob_comp_6 0.204 0.006 33.414 0.000 0.204 0.500
.attprob_comp_2 ~~
.attprob_comp_3 0.278 0.006 49.615 0.000 0.278 0.664
.attprob_comp_4 0.239 0.005 45.013 0.000 0.239 0.596
.attprob_comp_5 0.241 0.006 43.811 0.000 0.241 0.590
.attprob_comp_6 0.213 0.006 35.596 0.000 0.213 0.538
.attprob_comp_3 ~~
.attprob_comp_4 0.258 0.005 47.363 0.000 0.258 0.649
.attprob_comp_5 0.252 0.006 45.018 0.000 0.252 0.619
.attprob_comp_6 0.221 0.006 36.944 0.000 0.221 0.562
.attprob_comp_4 ~~
.attprob_comp_5 0.267 0.006 47.461 0.000 0.267 0.685
.attprob_comp_6 0.235 0.006 39.390 0.000 0.235 0.624
.attprob_comp_5 ~~
.attprob_comp_6 0.266 0.006 42.026 0.000 0.266 0.691
.rulebreak_comp_0 ~~
.rulebrek_cmp_1 0.291 0.006 49.976 0.000 0.291 0.608
.rulebrek_cmp_2 0.255 0.006 43.956 0.000 0.255 0.523
.rulebrek_cmp_3 0.238 0.006 39.588 0.000 0.238 0.475
.rulebrek_cmp_4 0.240 0.007 34.541 0.000 0.240 0.413
.rulebrek_cmp_5 0.266 0.008 32.347 0.000 0.266 0.392
.rulebrek_cmp_6 0.224 0.010 23.022 0.000 0.224 0.322
.rulebreak_comp_1 ~~
.rulebrek_cmp_2 0.281 0.006 46.926 0.000 0.281 0.575
.rulebrek_cmp_3 0.266 0.006 43.115 0.000 0.266 0.530
.rulebrek_cmp_4 0.278 0.007 39.059 0.000 0.278 0.478
.rulebrek_cmp_5 0.278 0.008 33.475 0.000 0.278 0.409
.rulebrek_cmp_6 0.252 0.010 25.339 0.000 0.252 0.361
.rulebreak_comp_2 ~~
.rulebrek_cmp_3 0.304 0.007 46.455 0.000 0.304 0.595
.rulebrek_cmp_4 0.300 0.007 40.634 0.000 0.300 0.506
.rulebrek_cmp_5 0.337 0.009 38.722 0.000 0.337 0.486
.rulebrek_cmp_6 0.315 0.010 30.549 0.000 0.315 0.443
.rulebreak_comp_3 ~~
.rulebrek_cmp_4 0.347 0.008 43.931 0.000 0.347 0.569
.rulebrek_cmp_5 0.367 0.009 39.710 0.000 0.367 0.514
.rulebrek_cmp_6 0.355 0.011 33.603 0.000 0.355 0.485
.rulebreak_comp_4 ~~
.rulebrek_cmp_5 0.534 0.011 47.472 0.000 0.534 0.646
.rulebrek_cmp_6 0.510 0.013 39.812 0.000 0.510 0.603
.rulebreak_comp_5 ~~
.rulebrek_cmp_6 0.712 0.016 45.920 0.000 0.712 0.719
.aggress_comp_0 ~~
.aggress_comp_1 0.299 0.006 49.840 0.000 0.299 0.657
.aggress_comp_2 0.269 0.006 46.579 0.000 0.269 0.605
.aggress_comp_3 0.232 0.006 41.160 0.000 0.232 0.530
.aggress_comp_4 0.204 0.005 38.466 0.000 0.204 0.500
.aggress_comp_5 0.197 0.005 36.182 0.000 0.197 0.481
.aggress_comp_6 0.160 0.006 27.798 0.000 0.160 0.427
.aggress_comp_1 ~~
.aggress_comp_2 0.277 0.006 48.223 0.000 0.277 0.643
.aggress_comp_3 0.246 0.006 43.907 0.000 0.246 0.580
.aggress_comp_4 0.209 0.005 39.978 0.000 0.209 0.529
.aggress_comp_5 0.196 0.005 36.744 0.000 0.196 0.495
.aggress_comp_6 0.161 0.006 28.357 0.000 0.161 0.446
.aggress_comp_2 ~~
.aggress_comp_3 0.269 0.006 47.228 0.000 0.269 0.649
.aggress_comp_4 0.220 0.005 41.990 0.000 0.220 0.570
.aggress_comp_5 0.214 0.005 39.971 0.000 0.214 0.552
.aggress_comp_6 0.182 0.006 32.358 0.000 0.182 0.513
.aggress_comp_3 ~~
.aggress_comp_4 0.241 0.005 44.775 0.000 0.241 0.635
.aggress_comp_5 0.224 0.005 41.160 0.000 0.224 0.587
.aggress_comp_6 0.192 0.006 34.294 0.000 0.192 0.550
.aggress_comp_4 ~~
.aggress_comp_5 0.238 0.005 44.588 0.000 0.238 0.669
.aggress_comp_6 0.198 0.005 36.366 0.000 0.198 0.611
.aggress_comp_5 ~~
.aggress_comp_6 0.223 0.006 38.940 0.000 0.223 0.685
.anxdep_comp_0 ~~
.withdep_comp_0 0.097 0.005 19.105 0.000 0.097 0.213
.soma_comp_0 0.113 0.006 18.176 0.000 0.113 0.190
.withdep_comp_1 0.081 0.005 15.673 0.000 0.081 0.171
.soma_comp_1 0.078 0.006 12.397 0.000 0.078 0.130
.withdep_comp_2 0.081 0.006 14.462 0.000 0.081 0.156
.soma_comp_2 0.072 0.006 11.835 0.000 0.072 0.125
.withdep_comp_3 0.094 0.007 14.396 0.000 0.094 0.159
.soma_comp_3 0.073 0.006 11.749 0.000 0.073 0.127
.withdep_comp_4 0.078 0.007 10.649 0.000 0.078 0.121
.soma_comp_4 0.081 0.007 12.035 0.000 0.081 0.133
.withdep_comp_5 0.074 0.008 9.120 0.000 0.074 0.108
.soma_comp_5 0.061 0.008 8.009 0.000 0.061 0.092
.withdep_comp_6 0.062 0.009 6.694 0.000 0.062 0.095
.soma_comp_6 0.066 0.009 7.028 0.000 0.066 0.098
.withdep_comp_0 ~~
.anxdep_comp_1 0.065 0.005 12.833 0.000 0.065 0.141
.soma_comp_0 ~~
.anxdep_comp_1 0.093 0.006 14.654 0.000 0.093 0.153
.anxdep_comp_1 ~~
.withdep_comp_1 0.100 0.005 18.752 0.000 0.100 0.210
.soma_comp_1 0.106 0.006 16.396 0.000 0.106 0.175
.withdep_comp_2 0.087 0.006 14.971 0.000 0.087 0.164
.soma_comp_2 0.078 0.006 12.537 0.000 0.078 0.134
.withdep_comp_3 0.108 0.007 16.106 0.000 0.108 0.180
.soma_comp_3 0.074 0.006 11.702 0.000 0.074 0.127
.withdep_comp_4 0.093 0.007 12.395 0.000 0.093 0.142
.soma_comp_4 0.086 0.007 12.503 0.000 0.086 0.139
.withdep_comp_5 0.108 0.008 13.037 0.000 0.108 0.156
.soma_comp_5 0.083 0.008 10.641 0.000 0.083 0.123
.withdep_comp_6 0.086 0.009 9.080 0.000 0.086 0.130
.soma_comp_6 0.071 0.010 7.388 0.000 0.071 0.104
.withdep_comp_0 ~~
.anxdep_comp_2 0.073 0.005 14.439 0.000 0.073 0.161
.soma_comp_0 ~~
.anxdep_comp_2 0.091 0.006 14.545 0.000 0.091 0.154
.withdep_comp_1 ~~
.anxdep_comp_2 0.089 0.005 17.222 0.000 0.089 0.192
.soma_comp_1 ~~
.anxdep_comp_2 0.081 0.006 12.798 0.000 0.081 0.136
.anxdep_comp_2 ~~
.withdep_comp_2 0.140 0.006 23.961 0.000 0.140 0.271
.soma_comp_2 0.110 0.006 17.842 0.000 0.110 0.193
.withdep_comp_3 0.130 0.007 19.851 0.000 0.130 0.224
.soma_comp_3 0.091 0.006 14.692 0.000 0.091 0.161
.withdep_comp_4 0.113 0.007 15.395 0.000 0.113 0.177
.soma_comp_4 0.103 0.007 15.198 0.000 0.103 0.169
.withdep_comp_5 0.103 0.008 12.858 0.000 0.103 0.153
.soma_comp_5 0.087 0.008 11.405 0.000 0.087 0.131
.withdep_comp_6 0.080 0.009 8.820 0.000 0.080 0.124
.soma_comp_6 0.079 0.009 8.526 0.000 0.079 0.118
.withdep_comp_0 ~~
.anxdep_comp_3 0.060 0.005 11.395 0.000 0.060 0.129
.soma_comp_0 ~~
.anxdep_comp_3 0.097 0.006 15.002 0.000 0.097 0.161
.withdep_comp_1 ~~
.anxdep_comp_3 0.076 0.005 14.184 0.000 0.076 0.159
.soma_comp_1 ~~
.anxdep_comp_3 0.087 0.007 13.209 0.000 0.087 0.143
.withdep_comp_2 ~~
.anxdep_comp_3 0.112 0.006 18.891 0.000 0.112 0.212
.soma_comp_2 ~~
.anxdep_comp_3 0.096 0.006 15.167 0.000 0.096 0.165
.anxdep_comp_3 ~~
.withdep_comp_3 0.184 0.007 26.294 0.000 0.184 0.307
.soma_comp_3 0.125 0.007 19.199 0.000 0.125 0.214
.withdep_comp_4 0.144 0.008 18.785 0.000 0.144 0.219
.soma_comp_4 0.132 0.007 18.712 0.000 0.132 0.213
.withdep_comp_5 0.142 0.008 16.999 0.000 0.142 0.207
.soma_comp_5 0.124 0.008 15.501 0.000 0.124 0.182
.withdep_comp_6 0.107 0.009 11.580 0.000 0.107 0.161
.soma_comp_6 0.130 0.009 13.792 0.000 0.130 0.190
.withdep_comp_0 ~~
.anxdep_comp_4 0.041 0.005 7.991 0.000 0.041 0.092
.soma_comp_0 ~~
.anxdep_comp_4 0.079 0.006 12.324 0.000 0.079 0.135
.withdep_comp_1 ~~
.anxdep_comp_4 0.060 0.005 11.278 0.000 0.060 0.129
.soma_comp_1 ~~
.anxdep_comp_4 0.075 0.006 11.612 0.000 0.075 0.128
.withdep_comp_2 ~~
.anxdep_comp_4 0.088 0.006 14.987 0.000 0.088 0.171
.soma_comp_2 ~~
.anxdep_comp_4 0.080 0.006 12.775 0.000 0.080 0.142
.withdep_comp_3 ~~
.anxdep_comp_4 0.131 0.007 19.375 0.000 0.131 0.226
.soma_comp_3 ~~
.anxdep_comp_4 0.097 0.006 15.204 0.000 0.097 0.172
.anxdep_comp_4 ~~
.withdep_comp_4 0.202 0.008 25.916 0.000 0.202 0.317
.soma_comp_4 0.149 0.007 21.294 0.000 0.149 0.247
.withdep_comp_5 0.165 0.008 19.897 0.000 0.165 0.247
.soma_comp_5 0.138 0.008 17.519 0.000 0.138 0.209
.withdep_comp_6 0.128 0.009 13.952 0.000 0.128 0.199
.soma_comp_6 0.138 0.009 14.668 0.000 0.138 0.208
.withdep_comp_0 ~~
.anxdep_comp_5 0.037 0.005 6.690 0.000 0.037 0.080
.soma_comp_0 ~~
.anxdep_comp_5 0.070 0.007 10.276 0.000 0.070 0.117
.withdep_comp_1 ~~
.anxdep_comp_5 0.059 0.006 10.541 0.000 0.059 0.124
.soma_comp_1 ~~
.anxdep_comp_5 0.078 0.007 11.327 0.000 0.078 0.129
.withdep_comp_2 ~~
.anxdep_comp_5 0.093 0.006 14.972 0.000 0.093 0.177
.soma_comp_2 ~~
.anxdep_comp_5 0.085 0.007 12.875 0.000 0.085 0.147
.withdep_comp_3 ~~
.anxdep_comp_5 0.139 0.007 19.482 0.000 0.139 0.234
.soma_comp_3 ~~
.anxdep_comp_5 0.093 0.007 13.739 0.000 0.093 0.160
.withdep_comp_4 ~~
.anxdep_comp_5 0.175 0.008 21.749 0.000 0.175 0.268
.soma_comp_4 ~~
.anxdep_comp_5 0.142 0.007 19.318 0.000 0.142 0.231
.anxdep_comp_5 ~~
.withdep_comp_5 0.243 0.009 27.304 0.000 0.243 0.356
.soma_comp_5 0.176 0.008 21.396 0.000 0.176 0.262
.withdep_comp_6 0.156 0.010 16.316 0.000 0.156 0.236
.soma_comp_6 0.152 0.010 15.602 0.000 0.152 0.224
.withdep_comp_0 ~~
.anxdep_comp_6 0.043 0.006 6.697 0.000 0.043 0.097
.soma_comp_0 ~~
.anxdep_comp_6 0.064 0.008 8.215 0.000 0.064 0.112
.withdep_comp_1 ~~
.anxdep_comp_6 0.061 0.006 9.494 0.000 0.061 0.135
.soma_comp_1 ~~
.anxdep_comp_6 0.067 0.008 8.502 0.000 0.067 0.117
.withdep_comp_2 ~~
.anxdep_comp_6 0.089 0.007 12.226 0.000 0.089 0.179
.soma_comp_2 ~~
.anxdep_comp_6 0.084 0.007 11.321 0.000 0.084 0.154
.withdep_comp_3 ~~
.anxdep_comp_6 0.130 0.008 16.000 0.000 0.130 0.230
.soma_comp_3 ~~
.anxdep_comp_6 0.075 0.008 9.943 0.000 0.075 0.136
.withdep_comp_4 ~~
.anxdep_comp_6 0.156 0.009 17.318 0.000 0.156 0.251
.soma_comp_4 ~~
.anxdep_comp_6 0.111 0.008 13.263 0.000 0.111 0.189
.withdep_comp_5 ~~
.anxdep_comp_6 0.186 0.010 19.162 0.000 0.186 0.285
.soma_comp_5 ~~
.anxdep_comp_6 0.119 0.009 13.036 0.000 0.119 0.186
.anxdep_comp_6 ~~
.withdep_comp_6 0.223 0.010 22.101 0.000 0.223 0.356
.soma_comp_6 0.165 0.010 16.735 0.000 0.165 0.255
.withdep_comp_0 ~~
.soma_comp_0 0.046 0.005 8.329 0.000 0.046 0.086
.soma_comp_1 0.046 0.006 8.266 0.000 0.046 0.087
.soma_comp_2 0.032 0.005 5.964 0.000 0.032 0.064
.soma_comp_3 0.022 0.006 3.977 0.000 0.022 0.043
.soma_comp_4 0.013 0.006 2.181 0.029 0.013 0.024
.soma_comp_5 -0.015 0.007 -2.196 0.028 -0.015 -0.026
.soma_comp_6 -0.014 0.009 -1.611 0.107 -0.014 -0.023
.soma_comp_0 ~~
.withdep_comp_1 0.030 0.006 5.329 0.000 0.030 0.055
.withdep_comp_1 ~~
.soma_comp_1 0.059 0.006 10.285 0.000 0.059 0.108
.soma_comp_2 0.044 0.006 7.858 0.000 0.044 0.083
.soma_comp_3 0.045 0.006 7.913 0.000 0.045 0.085
.soma_comp_4 0.032 0.006 5.125 0.000 0.032 0.057
.soma_comp_5 0.027 0.007 3.820 0.000 0.027 0.044
.soma_comp_6 0.011 0.009 1.331 0.183 0.011 0.018
.soma_comp_0 ~~
.withdep_comp_2 0.043 0.006 6.879 0.000 0.043 0.071
.soma_comp_1 ~~
.withdep_comp_2 0.058 0.006 9.179 0.000 0.058 0.096
.withdep_comp_2 ~~
.soma_comp_2 0.073 0.006 11.962 0.000 0.073 0.126
.soma_comp_3 0.055 0.006 8.795 0.000 0.055 0.094
.soma_comp_4 0.071 0.007 10.395 0.000 0.071 0.114
.soma_comp_5 0.064 0.008 8.202 0.000 0.064 0.093
.soma_comp_6 0.048 0.010 4.872 0.000 0.048 0.069
.soma_comp_0 ~~
.withdep_comp_3 0.059 0.007 8.147 0.000 0.059 0.086
.soma_comp_1 ~~
.withdep_comp_3 0.053 0.007 7.202 0.000 0.053 0.077
.soma_comp_2 ~~
.withdep_comp_3 0.059 0.007 8.383 0.000 0.059 0.089
.withdep_comp_3 ~~
.soma_comp_3 0.081 0.007 11.295 0.000 0.081 0.122
.soma_comp_4 0.108 0.008 13.628 0.000 0.108 0.153
.soma_comp_5 0.120 0.009 13.455 0.000 0.120 0.155
.soma_comp_6 0.122 0.011 11.288 0.000 0.122 0.157
.soma_comp_0 ~~
.withdep_comp_4 0.050 0.008 6.122 0.000 0.050 0.067
.soma_comp_1 ~~
.withdep_comp_4 0.062 0.008 7.564 0.000 0.062 0.083
.soma_comp_2 ~~
.withdep_comp_4 0.058 0.008 7.221 0.000 0.058 0.080
.soma_comp_3 ~~
.withdep_comp_4 0.080 0.008 9.847 0.000 0.080 0.110
.withdep_comp_4 ~~
.soma_comp_4 0.146 0.009 16.664 0.000 0.146 0.190
.soma_comp_5 0.143 0.010 14.439 0.000 0.143 0.169
.soma_comp_6 0.162 0.012 13.582 0.000 0.162 0.190
.soma_comp_0 ~~
.withdep_comp_5 0.042 0.009 4.648 0.000 0.042 0.053
.soma_comp_1 ~~
.withdep_comp_5 0.056 0.009 6.130 0.000 0.056 0.070
.soma_comp_2 ~~
.withdep_comp_5 0.051 0.009 5.908 0.000 0.051 0.068
.soma_comp_3 ~~
.withdep_comp_5 0.073 0.009 8.189 0.000 0.073 0.096
.soma_comp_4 ~~
.withdep_comp_5 0.136 0.010 14.118 0.000 0.136 0.167
.withdep_comp_5 ~~
.soma_comp_5 0.208 0.011 19.468 0.000 0.208 0.234
.soma_comp_6 0.194 0.013 15.210 0.000 0.194 0.217
.soma_comp_0 ~~
.withdep_comp_6 0.049 0.010 4.820 0.000 0.049 0.065
.soma_comp_1 ~~
.withdep_comp_6 0.037 0.010 3.610 0.000 0.037 0.049
.soma_comp_2 ~~
.withdep_comp_6 0.039 0.010 3.961 0.000 0.039 0.053
.soma_comp_3 ~~
.withdep_comp_6 0.049 0.010 5.011 0.000 0.049 0.067
.soma_comp_4 ~~
.withdep_comp_6 0.093 0.011 8.591 0.000 0.093 0.119
.soma_comp_5 ~~
.withdep_comp_6 0.135 0.012 11.373 0.000 0.135 0.158
.withdep_comp_6 ~~
.soma_comp_6 0.205 0.013 15.923 0.000 0.205 0.238
.rulebreak_comp_0 ~~
.aggress_comp_0 0.220 0.006 38.719 0.000 0.220 0.465
.aggress_comp_1 0.171 0.005 32.149 0.000 0.171 0.374
.aggress_comp_2 0.161 0.005 30.642 0.000 0.161 0.359
.aggress_comp_3 0.139 0.005 26.304 0.000 0.139 0.313
.aggress_comp_4 0.131 0.005 25.863 0.000 0.131 0.317
.aggress_comp_5 0.133 0.005 25.625 0.000 0.133 0.323
.aggress_comp_6 0.112 0.006 19.706 0.000 0.112 0.296
.aggress_comp_0 ~~
.rulebrek_cmp_1 0.180 0.005 32.857 0.000 0.180 0.380
.rulebreak_comp_1 ~~
.aggress_comp_1 0.215 0.006 37.923 0.000 0.215 0.468
.aggress_comp_2 0.169 0.005 31.768 0.000 0.169 0.376
.aggress_comp_3 0.151 0.005 28.353 0.000 0.151 0.341
.aggress_comp_4 0.143 0.005 28.040 0.000 0.143 0.348
.aggress_comp_5 0.135 0.005 25.752 0.000 0.135 0.326
.aggress_comp_6 0.123 0.006 21.341 0.000 0.123 0.327
.aggress_comp_0 ~~
.rulebrek_cmp_2 0.160 0.006 28.758 0.000 0.160 0.330
.aggress_comp_1 ~~
.rulebrek_cmp_2 0.163 0.005 29.846 0.000 0.163 0.349
.rulebreak_comp_2 ~~
.aggress_comp_2 0.222 0.006 38.542 0.000 0.222 0.485
.aggress_comp_3 0.168 0.006 30.224 0.000 0.168 0.372
.aggress_comp_4 0.142 0.005 27.132 0.000 0.142 0.339
.aggress_comp_5 0.143 0.005 26.715 0.000 0.143 0.340
.aggress_comp_6 0.140 0.006 23.650 0.000 0.140 0.364
.aggress_comp_0 ~~
.rulebrek_cmp_3 0.159 0.006 27.508 0.000 0.159 0.321
.aggress_comp_1 ~~
.rulebrek_cmp_3 0.163 0.006 28.544 0.000 0.163 0.338
.aggress_comp_2 ~~
.rulebrek_cmp_3 0.179 0.006 31.369 0.000 0.179 0.380
.rulebreak_comp_3 ~~
.aggress_comp_3 0.231 0.006 37.993 0.000 0.231 0.497
.aggress_comp_4 0.165 0.005 30.127 0.000 0.165 0.383
.aggress_comp_5 0.156 0.006 27.781 0.000 0.156 0.360
.aggress_comp_6 0.153 0.006 25.618 0.000 0.153 0.388
.aggress_comp_0 ~~
.rulebrek_cmp_4 0.181 0.007 26.720 0.000 0.181 0.315
.aggress_comp_1 ~~
.rulebrek_cmp_4 0.188 0.007 28.219 0.000 0.188 0.337
.aggress_comp_2 ~~
.rulebrek_cmp_4 0.187 0.007 28.541 0.000 0.187 0.344
.aggress_comp_3 ~~
.rulebrek_cmp_4 0.204 0.007 30.231 0.000 0.204 0.379
.rulebreak_comp_4 ~~
.aggress_comp_4 0.249 0.007 37.263 0.000 0.249 0.498
.aggress_comp_5 0.207 0.007 31.225 0.000 0.207 0.414
.aggress_comp_6 0.174 0.007 24.667 0.000 0.174 0.380
.aggress_comp_0 ~~
.rulebrek_cmp_5 0.212 0.008 26.028 0.000 0.212 0.314
.aggress_comp_1 ~~
.rulebrek_cmp_5 0.200 0.008 25.166 0.000 0.200 0.306
.aggress_comp_2 ~~
.rulebrek_cmp_5 0.226 0.008 28.618 0.000 0.226 0.354
.aggress_comp_3 ~~
.rulebrek_cmp_5 0.225 0.008 28.086 0.000 0.225 0.358
.aggress_comp_4 ~~
.rulebrek_cmp_5 0.232 0.008 30.521 0.000 0.232 0.397
.rulebreak_comp_5 ~~
.aggress_comp_5 0.311 0.008 37.973 0.000 0.311 0.529
.aggress_comp_6 0.238 0.008 28.564 0.000 0.238 0.443
.aggress_comp_0 ~~
.rulebrek_cmp_6 0.194 0.010 20.144 0.000 0.194 0.281
.aggress_comp_1 ~~
.rulebrek_cmp_6 0.176 0.009 18.662 0.000 0.176 0.264
.aggress_comp_2 ~~
.rulebrek_cmp_6 0.211 0.009 22.777 0.000 0.211 0.323
.aggress_comp_3 ~~
.rulebrek_cmp_6 0.220 0.009 23.814 0.000 0.220 0.341
.aggress_comp_4 ~~
.rulebrek_cmp_6 0.224 0.009 25.364 0.000 0.224 0.374
.aggress_comp_5 ~~
.rulebrek_cmp_6 0.250 0.009 27.284 0.000 0.250 0.415
.rulebreak_comp_6 ~~
.aggress_comp_6 0.274 0.009 29.264 0.000 0.274 0.499
.p_i ~~
.p_s -0.029 0.006 -5.113 0.000 -0.218 -0.218
.p_q 0.001 0.002 0.452 0.651 0.017 0.017
.p_s ~~
.p_q -0.023 0.003 -8.444 0.000 -0.861 -0.861
.flanker_0 ~~
.flanker_2 0.138 0.007 18.786 0.000 0.138 0.244
.flanker_4 0.099 0.008 13.142 0.000 0.099 0.181
.flanker_6 0.087 0.009 9.370 0.000 0.087 0.163
.flanker_2 ~~
.flanker_4 0.145 0.007 19.947 0.000 0.145 0.322
.flanker_6 0.102 0.008 12.605 0.000 0.102 0.232
.flanker_4 ~~
.flanker_6 0.153 0.009 16.871 0.000 0.153 0.358
.pattern_0 ~~
.pattern_2 0.073 0.005 13.451 0.000 0.073 0.217
.pattern_4 0.039 0.006 6.661 0.000 0.039 0.109
.pattern_6 0.032 0.007 4.552 0.000 0.032 0.092
.pattern_2 ~~
.pattern_4 0.104 0.007 15.252 0.000 0.104 0.288
.pattern_6 0.073 0.008 9.746 0.000 0.073 0.208
.pattern_4 ~~
.pattern_6 0.125 0.009 14.039 0.000 0.125 0.333
.picture_0 ~~
.picture_2 0.252 0.007 33.907 0.000 0.252 0.364
.picture_4 0.258 0.009 28.165 0.000 0.258 0.311
.picture_6 0.282 0.012 23.607 0.000 0.282 0.344
.picture_2 ~~
.picture_4 0.287 0.010 28.161 0.000 0.287 0.326
.picture_6 0.267 0.013 19.946 0.000 0.267 0.307
.picture_4 ~~
.picture_6 0.391 0.016 24.780 0.000 0.391 0.374
.picvocab_0 ~~
.picvocab_2 0.400 0.007 53.381 0.000 0.400 0.678
.picvocab_4 0.404 0.008 50.861 0.000 0.404 0.649
.picvocab_6 0.383 0.009 43.456 0.000 0.383 0.627
.picvocab_2 ~~
.picvocab_4 0.476 0.009 54.242 0.000 0.476 0.729
.picvocab_6 0.463 0.010 47.627 0.000 0.463 0.722
.picvocab_4 ~~
.picvocab_6 0.512 0.011 48.551 0.000 0.512 0.758
.reading_0 ~~
.reading_2 0.406 0.007 55.049 0.000 0.406 0.722
.reading_4 0.410 0.008 50.930 0.000 0.410 0.662
.reading_6 0.419 0.010 43.706 0.000 0.419 0.658
.reading_2 ~~
.reading_4 0.419 0.008 51.461 0.000 0.419 0.694
.reading_6 0.435 0.010 45.429 0.000 0.435 0.700
.reading_4 ~~
.reading_6 0.459 0.011 43.062 0.000 0.459 0.670
.picvocab_0 ~~
.reading_0 0.235 0.007 36.129 0.000 0.235 0.413
.reading_2 0.248 0.007 37.838 0.000 0.248 0.447
.reading_4 0.267 0.007 36.432 0.000 0.267 0.436
.reading_6 0.285 0.009 32.322 0.000 0.285 0.453
.picvocab_2 ~~
.reading_2 0.291 0.007 40.652 0.000 0.291 0.499
.reading_0 ~~
.picvocab_2 0.269 0.007 38.483 0.000 0.269 0.452
.picvocab_2 ~~
.reading_4 0.317 0.008 39.761 0.000 0.317 0.493
.reading_6 0.342 0.010 35.644 0.000 0.342 0.517
.picvocab_4 ~~
.reading_4 0.341 0.009 39.134 0.000 0.341 0.503
.reading_0 ~~
.picvocab_4 0.278 0.008 36.955 0.000 0.278 0.442
.reading_2 ~~
.picvocab_4 0.303 0.008 39.614 0.000 0.303 0.493
.picvocab_4 ~~
.reading_6 0.370 0.010 35.812 0.000 0.370 0.531
.picvocab_6 ~~
.reading_6 0.364 0.011 32.433 0.000 0.364 0.532
.reading_0 ~~
.picvocab_6 0.259 0.009 30.097 0.000 0.259 0.419
.reading_2 ~~
.picvocab_6 0.287 0.009 33.272 0.000 0.287 0.476
.reading_4 ~~
.picvocab_6 0.326 0.010 33.585 0.000 0.326 0.491
.g_i ~~
.g_s 0.004 0.001 3.532 0.000 0.206 0.206
.ph_p_pds_001_0 ~~
.ph_p_pds_001_1 0.425 0.011 40.343 0.000 0.425 0.459
.ph_p_pds_001_2 0.252 0.009 28.501 0.000 0.252 0.314
.ph_p_pds_001_3 0.135 0.008 17.341 0.000 0.135 0.193
.ph_p_pds_001_4 0.051 0.007 7.319 0.000 0.051 0.084
.ph_p_pds_001_5 0.026 0.007 3.725 0.000 0.026 0.044
.ph_p_pds_001_6 0.021 0.009 2.338 0.019 0.021 0.035
.ph_p_pds_001_1 ~~
.ph_p_pds_001_2 0.297 0.008 36.407 0.000 0.297 0.418
.ph_p_pds_001_3 0.168 0.007 23.662 0.000 0.168 0.271
.ph_p_pds_001_4 0.070 0.006 11.222 0.000 0.070 0.130
.ph_p_pds_001_5 0.033 0.006 5.417 0.000 0.033 0.064
.ph_p_pds_001_6 0.017 0.008 2.193 0.028 0.017 0.033
.ph_p_pds_001_2 ~~
.ph_p_pds_001_3 0.216 0.006 33.322 0.000 0.216 0.402
.ph_p_pds_001_4 0.093 0.005 16.961 0.000 0.093 0.200
.ph_p_pds_001_5 0.039 0.005 7.383 0.000 0.039 0.088
.ph_p_pds_001_6 0.025 0.007 3.703 0.000 0.025 0.056
.ph_p_pds_001_3 ~~
.ph_p_pds_001_4 0.121 0.005 24.119 0.000 0.121 0.298
.ph_p_pds_001_5 0.061 0.005 12.652 0.000 0.061 0.155
.ph_p_pds_001_6 0.033 0.006 5.545 0.000 0.033 0.084
.ph_p_pds_001_4 ~~
.ph_p_pds_001_5 0.132 0.004 29.505 0.000 0.132 0.388
.ph_p_pds_001_6 0.079 0.006 14.246 0.000 0.079 0.232
.ph_p_pds_001_5 ~~
.ph_p_pds_001_6 0.135 0.005 24.627 0.000 0.135 0.412
.ph_p_pds_002_0 ~~
.ph_p_pds_002_1 0.111 0.005 20.640 0.000 0.111 0.358
.ph_p_pds_002_2 0.047 0.005 9.833 0.000 0.047 0.163
.ph_p_pds_002_3 0.016 0.004 3.702 0.000 0.016 0.065
.ph_p_pds_002_4 0.001 0.004 0.395 0.693 0.001 0.007
.ph_p_pds_002_5 -0.005 0.003 -1.441 0.150 -0.005 -0.028
.ph_p_pds_002_6 -0.006 0.004 -1.299 0.194 -0.006 -0.034
.ph_p_pds_002_1 ~~
.ph_p_pds_002_2 0.109 0.005 21.226 0.000 0.109 0.373
.ph_p_pds_002_3 0.043 0.004 9.542 0.000 0.043 0.173
.ph_p_pds_002_4 -0.000 0.004 -0.043 0.966 -0.000 -0.001
.ph_p_pds_002_5 -0.005 0.004 -1.307 0.191 -0.005 -0.026
.ph_p_pds_002_6 0.014 0.004 3.191 0.001 0.014 0.084
.ph_p_pds_002_2 ~~
.ph_p_pds_002_3 0.083 0.005 18.321 0.000 0.083 0.357
.ph_p_pds_002_4 0.014 0.004 3.641 0.000 0.014 0.074
.ph_p_pds_002_5 -0.005 0.003 -1.445 0.149 -0.005 -0.030
.ph_p_pds_002_6 0.017 0.004 4.057 0.000 0.017 0.107
.ph_p_pds_002_3 ~~
.ph_p_pds_002_4 0.031 0.004 8.622 0.000 0.031 0.192
.ph_p_pds_002_5 0.005 0.003 1.719 0.086 0.005 0.038
.ph_p_pds_002_6 0.018 0.004 4.816 0.000 0.018 0.134
.ph_p_pds_002_4 ~~
.ph_p_pds_002_5 0.024 0.003 8.303 0.000 0.024 0.207
.ph_p_pds_002_6 0.010 0.003 2.934 0.003 0.010 0.091
.ph_p_pds_002_5 ~~
.ph_p_pds_002_6 0.014 0.003 4.572 0.000 0.014 0.152
.ph_p_pds_003_0 ~~
.ph_p_pds_003_1 0.141 0.005 26.219 0.000 0.141 0.382
.ph_p_pds_003_2 0.090 0.005 17.774 0.000 0.090 0.240
.ph_p_pds_003_3 0.053 0.005 11.314 0.000 0.053 0.153
.ph_p_pds_003_4 0.025 0.004 5.661 0.000 0.025 0.079
.ph_p_pds_003_5 0.026 0.004 6.264 0.000 0.026 0.089
.ph_p_pds_003_6 0.014 0.005 2.641 0.008 0.014 0.048
.ph_p_pds_003_1 ~~
.ph_p_pds_003_2 0.173 0.006 30.422 0.000 0.173 0.415
.ph_p_pds_003_3 0.097 0.005 18.559 0.000 0.097 0.248
.ph_p_pds_003_4 0.036 0.005 7.423 0.000 0.036 0.100
.ph_p_pds_003_5 0.021 0.005 4.530 0.000 0.021 0.063
.ph_p_pds_003_6 0.014 0.006 2.483 0.013 0.014 0.044
.ph_p_pds_003_2 ~~
.ph_p_pds_003_3 0.169 0.005 30.962 0.000 0.169 0.427
.ph_p_pds_003_4 0.078 0.005 15.971 0.000 0.078 0.219
.ph_p_pds_003_5 0.049 0.005 10.571 0.000 0.049 0.146
.ph_p_pds_003_6 0.027 0.006 4.821 0.000 0.027 0.084
.ph_p_pds_003_3 ~~
.ph_p_pds_003_4 0.121 0.005 25.243 0.000 0.121 0.359
.ph_p_pds_003_5 0.070 0.004 15.808 0.000 0.070 0.223
.ph_p_pds_003_6 0.052 0.005 9.793 0.000 0.052 0.171
.ph_p_pds_003_4 ~~
.ph_p_pds_003_5 0.104 0.004 24.162 0.000 0.104 0.364
.ph_p_pds_003_6 0.080 0.005 15.938 0.000 0.080 0.292
.ph_p_pds_003_5 ~~
.ph_p_pds_003_6 0.090 0.005 18.947 0.000 0.090 0.350
.pu_i ~~
.pu_s -0.047 0.005 -10.382 0.000 -0.300 -0.300
.pu_q -0.002 0.001 -1.412 0.158 -0.039 -0.039
.pu_s ~~
.pu_q -0.040 0.002 -20.701 0.000 -0.912 -0.912
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) -0.005 0.004 -1.087 0.277 -0.005 -0.005
.asr___0 (t_AW) 0.003 0.005 0.603 0.547 0.003 0.003
.asr___0 (t_AS) -0.001 0.005 -0.236 0.813 -0.001 -0.001
.asr___0 (t_AP) 0.001 0.005 0.187 0.851 0.001 0.001
.asr___0 (t_AH) 0.000 0.005 0.099 0.921 0.000 0.000
.asr___0 (t_AA) 0.007 0.005 1.274 0.203 0.007 0.007
.asr___0 (t_AR) 0.002 0.005 0.397 0.691 0.002 0.002
.asr___0 (t_AG) -0.000 0.007 -0.024 0.981 -0.000 -0.000
.asr___2 (t_AX) -0.005 0.004 -1.087 0.277 -0.005 -0.005
.asr___2 (t_AW) 0.003 0.005 0.603 0.547 0.003 0.003
.asr___2 (t_AS) -0.001 0.005 -0.236 0.813 -0.001 -0.001
.asr___2 (t_AP) 0.001 0.005 0.187 0.851 0.001 0.001
.asr___2 (t_AH) 0.000 0.005 0.099 0.921 0.000 0.000
.asr___2 (t_AA) 0.007 0.005 1.274 0.203 0.007 0.007
.asr___2 (t_AR) 0.002 0.005 0.397 0.691 0.002 0.002
.asr___2 (t_AG) -0.000 0.007 -0.024 0.981 -0.000 -0.000
.asr___4 (t_AX) -0.005 0.004 -1.087 0.277 -0.005 -0.005
.asr___4 (t_AW) 0.003 0.005 0.603 0.547 0.003 0.003
.asr___4 (t_AS) -0.001 0.005 -0.236 0.813 -0.001 -0.001
.asr___4 (t_AP) 0.001 0.005 0.187 0.851 0.001 0.001
.asr___4 (t_AH) 0.000 0.005 0.099 0.921 0.000 0.000
.asr___4 (t_AA) 0.007 0.005 1.274 0.203 0.007 0.007
.asr___4 (t_AR) 0.002 0.005 0.397 0.691 0.002 0.002
.asr___4 (t_AG) -0.000 0.007 -0.024 0.981 -0.000 -0.000
.a_i 0.008 0.011 0.751 0.452 0.011 0.011
.a_s -0.016 0.005 -2.998 0.003 -0.063 -0.063
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.anxd__0 (t_CX) -0.013 0.005 -2.466 0.014 -0.013 -0.012
.anxd__1 (t_CX) -0.013 0.005 -2.466 0.014 -0.013 -0.012
.anxd__2 (t_CX) -0.013 0.005 -2.466 0.014 -0.013 -0.012
.anxd__3 (t_CX) -0.013 0.005 -2.466 0.014 -0.013 -0.012
.anxd__4 (t_CX) -0.013 0.005 -2.466 0.014 -0.013 -0.013
.anxd__5 (t_CX) -0.013 0.005 -2.466 0.014 -0.013 -0.012
.anxd__6 (t_CX) -0.013 0.005 -2.466 0.014 -0.013 -0.013
.wthd__0 (t_CW) -0.079 0.005 -15.577 0.000 -0.079 -0.087
.wthd__1 (t_CW) -0.079 0.005 -15.577 0.000 -0.079 -0.086
.wthd__2 (t_CW) -0.079 0.005 -15.577 0.000 -0.079 -0.082
.wthd__3 (t_CW) -0.079 0.005 -15.577 0.000 -0.079 -0.076
.wthd__4 (t_CW) -0.079 0.005 -15.577 0.000 -0.079 -0.072
.wthd__5 (t_CW) -0.079 0.005 -15.577 0.000 -0.079 -0.070
.wthd__6 (t_CW) -0.079 0.005 -15.577 0.000 -0.079 -0.073
.sm_cm_0 (t_CS) -0.016 0.006 -2.637 0.008 -0.016 -0.016
.sm_cm_1 (t_CS) -0.016 0.006 -2.637 0.008 -0.016 -0.016
.sm_cm_2 (t_CS) -0.016 0.006 -2.637 0.008 -0.016 -0.016
.sm_cm_3 (t_CS) -0.016 0.006 -2.637 0.008 -0.016 -0.016
.sm_cm_4 (t_CS) -0.016 0.006 -2.637 0.008 -0.016 -0.016
.sm_cm_5 (t_CS) -0.016 0.006 -2.637 0.008 -0.016 -0.015
.sm_cm_6 (t_CS) -0.016 0.006 -2.637 0.008 -0.016 -0.015
.scpr__0 (t_CP) 0.027 0.004 6.660 0.000 0.027 0.025
.scpr__1 (t_CP) 0.027 0.004 6.660 0.000 0.027 0.026
.scpr__2 (t_CP) 0.027 0.004 6.660 0.000 0.027 0.027
.scpr__3 (t_CP) 0.027 0.004 6.660 0.000 0.027 0.027
.scpr__4 (t_CP) 0.027 0.004 6.660 0.000 0.027 0.028
.scpr__5 (t_CP) 0.027 0.004 6.660 0.000 0.027 0.028
.scpr__6 (t_CP) 0.027 0.004 6.660 0.000 0.027 0.030
.thpr__0 (t_CH) 0.028 0.004 7.045 0.000 0.028 0.027
.thpr__1 (t_CH) 0.028 0.004 7.045 0.000 0.028 0.027
.thpr__2 (t_CH) 0.028 0.004 7.045 0.000 0.028 0.028
.thpr__3 (t_CH) 0.028 0.004 7.045 0.000 0.028 0.029
.thpr__4 (t_CH) 0.028 0.004 7.045 0.000 0.028 0.029
.thpr__5 (t_CH) 0.028 0.004 7.045 0.000 0.028 0.029
.thpr__6 (t_CH) 0.028 0.004 7.045 0.000 0.028 0.031
.attp__0 (t_CA) 0.032 0.005 6.757 0.000 0.032 0.032
.attp__1 (t_CA) 0.032 0.005 6.757 0.000 0.032 0.032
.attp__2 (t_CA) 0.032 0.005 6.757 0.000 0.032 0.033
.attp__3 (t_CA) 0.032 0.005 6.757 0.000 0.032 0.033
.attp__4 (t_CA) 0.032 0.005 6.757 0.000 0.032 0.034
.attp__5 (t_CA) 0.032 0.005 6.757 0.000 0.032 0.034
.attp__6 (t_CA) 0.032 0.005 6.757 0.000 0.032 0.035
.rlbr__0 (t_CR) -0.019 0.005 -3.860 0.000 -0.019 -0.020
.rlbr__1 (t_CR) -0.019 0.005 -3.860 0.000 -0.019 -0.020
.rlbr__2 (t_CR) -0.019 0.005 -3.860 0.000 -0.019 -0.020
.rlbr__3 (t_CR) -0.019 0.005 -3.860 0.000 -0.019 -0.020
.rlbr__4 (t_CR) -0.019 0.005 -3.860 0.000 -0.019 -0.018
.rlbr__5 (t_CR) -0.019 0.005 -3.860 0.000 -0.019 -0.016
.rlbr__6 (t_CR) -0.019 0.005 -3.860 0.000 -0.019 -0.016
.aggr__0 (t_CG) -0.002 0.004 -0.509 0.611 -0.002 -0.002
.aggr__1 (t_CG) -0.002 0.004 -0.509 0.611 -0.002 -0.002
.aggr__2 (t_CG) -0.002 0.004 -0.509 0.611 -0.002 -0.002
.aggr__3 (t_CG) -0.002 0.004 -0.509 0.611 -0.002 -0.002
.aggr__4 (t_CG) -0.002 0.004 -0.509 0.611 -0.002 -0.002
.aggr__5 (t_CG) -0.002 0.004 -0.509 0.611 -0.002 -0.002
.aggr__6 (t_CG) -0.002 0.004 -0.509 0.611 -0.002 -0.002
.p_i -0.173 0.018 -9.706 0.000 -0.252 -0.252
.p_s 0.432 0.219 1.974 0.048 1.017 1.017
.p_q -0.132 0.072 -1.826 0.068 -1.081 -1.081
.p_etaB 0.000 0.000 0.000
.p_eta1 0.000 0.000 0.000
.p_eta2 0.000 0.000 0.000
.p_eta3 0.000 0.000 0.000
.p_eta4 0.000 0.000 0.000
.p_eta5 0.000 0.000 0.000
.p_eta6 0.000 0.000 0.000
.flnkr_0 (ta_S) 0.093 0.005 18.875 0.000 0.093 0.101
.flnkr_2 (ta_S) 0.093 0.005 18.875 0.000 0.093 0.117
.flnkr_4 (ta_S) 0.093 0.005 18.875 0.000 0.093 0.117
.flnkr_6 (ta_S) 0.093 0.005 18.875 0.000 0.093 0.114
.pttrn_0 (ta_R) 0.108 0.005 23.581 0.000 0.108 0.142
.pttrn_2 (ta_R) 0.108 0.005 23.581 0.000 0.108 0.140
.pttrn_4 (ta_R) 0.108 0.005 23.581 0.000 0.108 0.131
.pttrn_6 (ta_R) 0.108 0.005 23.581 0.000 0.108 0.126
.pictr_0 (ta_M) 0.048 0.006 7.595 0.000 0.048 0.057
.pictr_2 (ta_M) 0.048 0.006 7.595 0.000 0.048 0.054
.pictr_4 (ta_M) 0.048 0.006 7.595 0.000 0.048 0.046
.pictr_6 (ta_M) 0.048 0.006 7.595 0.000 0.048 0.046
.pcvcb_0 (ta_P) 0.041 0.005 7.881 0.000 0.041 0.049
.pcvcb_2 (ta_P) 0.041 0.005 7.881 0.000 0.041 0.047
.pcvcb_4 (ta_P) 0.041 0.005 7.881 0.000 0.041 0.045
.pcvcb_6 (ta_P) 0.041 0.005 7.881 0.000 0.041 0.044
.redng_0 (ta_V) 0.052 0.005 10.175 0.000 0.052 0.061
.redng_2 (ta_V) 0.052 0.005 10.175 0.000 0.052 0.061
.redng_4 (ta_V) 0.052 0.005 10.175 0.000 0.052 0.056
.redng_6 (ta_V) 0.052 0.005 10.175 0.000 0.052 0.053
.g_i -0.625 0.008 -79.065 0.000 -1.611 -1.611
.g_s 0.470 0.004 115.361 0.000 8.975 8.975
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
.p___001 (t_PS) 0.042 0.004 11.681 0.000 0.042 0.038
.p___001 (t_PS) 0.042 0.004 11.681 0.000 0.042 0.041
.p___001 (t_PS) 0.042 0.004 11.681 0.000 0.042 0.046
.p___001 (t_PS) 0.042 0.004 11.681 0.000 0.042 0.050
.p___001 (t_PS) 0.042 0.004 11.681 0.000 0.042 0.056
.p___001 (t_PS) 0.042 0.004 11.681 0.000 0.042 0.061
.p___001 (t_PS) 0.042 0.004 11.681 0.000 0.042 0.063
.p___002 (t_PR) 0.094 0.002 41.487 0.000 0.094 0.116
.p___002 (t_PR) 0.094 0.002 41.487 0.000 0.094 0.110
.p___002 (t_PR) 0.094 0.002 41.487 0.000 0.094 0.111
.p___002 (t_PR) 0.094 0.002 41.487 0.000 0.094 0.118
.p___002 (t_PR) 0.094 0.002 41.487 0.000 0.094 0.131
.p___002 (t_PR) 0.094 0.002 41.487 0.000 0.094 0.150
.p___002 (t_PR) 0.094 0.002 41.487 0.000 0.094 0.170
.p___003 (t_PM) 0.086 0.003 32.848 0.000 0.086 0.107
.p___003 (t_PM) 0.086 0.003 32.848 0.000 0.086 0.097
.p___003 (t_PM) 0.086 0.003 32.848 0.000 0.086 0.095
.p___003 (t_PM) 0.086 0.003 32.848 0.000 0.086 0.098
.p___003 (t_PM) 0.086 0.003 32.848 0.000 0.086 0.107
.p___003 (t_PM) 0.086 0.003 32.848 0.000 0.086 0.119
.p___003 (t_PM) 0.086 0.003 32.848 0.000 0.086 0.129
.pu_i -0.578 0.008 -76.290 0.000 -1.345 -1.345
.pu_s 0.713 0.009 78.122 0.000 1.791 1.791
.pu_q -0.076 0.003 -28.559 0.000 -0.640 -0.640
.pu_etaB 0.000 0.000 0.000
.pu_eta1 0.000 0.000 0.000
.pu_eta2 0.000 0.000 0.000
.pu_eta3 0.000 0.000 0.000
.pu_eta4 0.000 0.000 0.000
.pu_eta5 0.000 0.000 0.000
.pu_eta6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.101 0.006 16.700 0.000 0.143 0.143
.a_eta2 0.181 0.005 39.307 0.000 0.262 0.262
.a_eta4 0.102 0.007 14.232 0.000 0.160 0.160
.asr_nxdp_cmp_0 0.311 0.006 53.373 0.000 0.311 0.305
.asr_wthdp_cm_0 0.486 0.008 63.074 0.000 0.486 0.463
.asr_soma_cmp_0 0.551 0.008 66.548 0.000 0.551 0.549
.asr_thprb_cm_0 0.471 0.007 65.272 0.000 0.471 0.435
.asr_ttprb_cm_0 0.408 0.006 64.396 0.000 0.408 0.411
.asr_rlbrk_cm_0 0.660 0.009 69.904 0.000 0.660 0.606
.asr_ggrss_cm_0 0.449 0.007 64.485 0.000 0.449 0.427
.asr_intr_cmp_0 0.898 0.012 74.902 0.000 0.898 0.841
.asr_nxdp_cmp_2 0.339 0.006 53.432 0.000 0.339 0.329
.asr_wthdp_cm_2 0.481 0.008 61.121 0.000 0.481 0.467
.asr_soma_cmp_2 0.560 0.009 64.621 0.000 0.560 0.559
.asr_thprb_cm_2 0.412 0.007 61.775 0.000 0.412 0.408
.asr_ttprb_cm_2 0.383 0.006 61.203 0.000 0.383 0.402
.asr_rlbrk_cm_2 0.603 0.009 66.770 0.000 0.603 0.590
.asr_ggrss_cm_2 0.435 0.007 62.275 0.000 0.435 0.426
.asr_intr_cmp_2 0.821 0.011 72.050 0.000 0.821 0.832
.asr_nxdp_cmp_4 0.352 0.007 50.814 0.000 0.352 0.355
.asr_wthdp_cm_4 0.461 0.008 57.264 0.000 0.461 0.475
.asr_soma_cmp_4 0.554 0.009 60.447 0.000 0.554 0.575
.asr_thprb_cm_4 0.384 0.007 57.229 0.000 0.384 0.409
.asr_ttprb_cm_4 0.420 0.007 58.581 0.000 0.420 0.443
.asr_rlbrk_cm_4 0.561 0.009 62.015 0.000 0.561 0.591
.asr_ggrss_cm_4 0.417 0.007 58.230 0.000 0.417 0.434
.asr_intr_cmp_4 0.806 0.012 67.777 0.000 0.806 0.840
.a_i 0.607 0.012 49.244 0.000 1.000 1.000
.a_s 0.063 0.003 20.046 0.000 0.999 0.999
.p_etaB 0.080 0.004 20.578 0.000 0.146 0.146
.p_eta1 0.123 0.003 42.722 0.000 0.228 0.228
.p_eta2 0.120 0.003 42.395 0.000 0.227 0.227
.p_eta3 0.112 0.003 39.404 0.000 0.216 0.216
.p_eta4 0.105 0.003 38.344 0.000 0.209 0.209
.p_eta5 0.111 0.003 35.550 0.000 0.222 0.222
.p_eta6 0.042 0.005 9.336 0.000 0.094 0.094
.anxdep_comp_0 0.512 0.008 67.029 0.000 0.512 0.483
.withdep_comp_0 0.406 0.006 65.385 0.000 0.406 0.498
.soma_comp_0 0.692 0.010 72.729 0.000 0.692 0.698
.socprob_comp_0 0.421 0.007 61.303 0.000 0.421 0.381
.thouprob_cmp_0 0.409 0.006 62.998 0.000 0.409 0.379
.attprob_comp_0 0.454 0.007 65.908 0.000 0.454 0.455
.rulebrek_cmp_0 0.478 0.007 69.143 0.000 0.478 0.542
.aggress_comp_0 0.469 0.007 64.459 0.000 0.469 0.430
.anxdep_comp_1 0.529 0.008 65.817 0.000 0.529 0.495
.withdep_comp_1 0.433 0.007 66.273 0.000 0.433 0.518
.soma_comp_1 0.701 0.010 71.048 0.000 0.701 0.704
.socprob_comp_1 0.391 0.007 59.521 0.000 0.391 0.367
.thouprob_cmp_1 0.420 0.007 61.642 0.000 0.420 0.389
.attprob_comp_1 0.446 0.007 64.539 0.000 0.446 0.455
.rulebrek_cmp_1 0.480 0.007 67.183 0.000 0.480 0.547
.aggress_comp_1 0.441 0.007 62.965 0.000 0.441 0.418
.anxdep_comp_2 0.501 0.008 65.136 0.000 0.501 0.487
.withdep_comp_2 0.530 0.008 67.223 0.000 0.530 0.574
.soma_comp_2 0.640 0.009 69.743 0.000 0.640 0.689
.socprob_comp_2 0.350 0.006 58.088 0.000 0.350 0.347
.thouprob_cmp_2 0.370 0.006 59.579 0.000 0.370 0.365
.attprob_comp_2 0.420 0.007 63.634 0.000 0.420 0.445
.rulebrek_cmp_2 0.498 0.008 66.230 0.000 0.498 0.561
.aggress_comp_2 0.421 0.007 61.953 0.000 0.421 0.412
.anxdep_comp_3 0.527 0.008 63.731 0.000 0.527 0.504
.withdep_comp_3 0.680 0.010 65.543 0.000 0.680 0.638
.soma_comp_3 0.645 0.010 67.695 0.000 0.645 0.695
.socprob_comp_3 0.320 0.006 55.712 0.000 0.320 0.331
.thouprob_cmp_3 0.345 0.006 57.011 0.000 0.345 0.353
.attprob_comp_3 0.415 0.007 62.049 0.000 0.415 0.447
.rulebrek_cmp_3 0.526 0.008 63.696 0.000 0.526 0.580
.aggress_comp_3 0.409 0.007 59.902 0.000 0.409 0.410
.anxdep_comp_4 0.496 0.008 61.520 0.000 0.496 0.497
.withdep_comp_4 0.816 0.013 63.084 0.000 0.816 0.686
.soma_comp_4 0.730 0.011 65.731 0.000 0.730 0.727
.socprob_comp_4 0.305 0.006 53.859 0.000 0.305 0.327
.thouprob_cmp_4 0.325 0.006 54.743 0.000 0.325 0.347
.attprob_comp_4 0.381 0.006 59.753 0.000 0.381 0.435
.rulebrek_cmp_4 0.705 0.011 63.059 0.000 0.705 0.657
.aggress_comp_4 0.354 0.006 57.393 0.000 0.354 0.383
.anxdep_comp_5 0.520 0.009 58.720 0.000 0.520 0.511
.withdep_comp_5 0.900 0.015 60.305 0.000 0.900 0.708
.soma_comp_5 0.873 0.014 62.701 0.000 0.873 0.763
.socprob_comp_5 0.298 0.006 50.472 0.000 0.298 0.325
.thouprob_cmp_5 0.376 0.007 53.487 0.000 0.376 0.383
.attprob_comp_5 0.398 0.007 57.770 0.000 0.398 0.447
.rulebrek_cmp_5 0.967 0.016 61.569 0.000 0.967 0.725
.aggress_comp_5 0.357 0.006 54.942 0.000 0.357 0.387
.anxdep_comp_6 0.470 0.010 46.893 0.000 0.470 0.511
.withdep_comp_6 0.835 0.017 48.426 0.000 0.835 0.714
.soma_comp_6 0.892 0.018 50.065 0.000 0.892 0.784
.socprob_comp_6 0.256 0.007 38.928 0.000 0.256 0.313
.thouprob_cmp_6 0.299 0.007 40.514 0.000 0.299 0.353
.attprob_comp_6 0.372 0.008 46.767 0.000 0.372 0.456
.rulebrek_cmp_6 1.015 0.020 49.988 0.000 1.015 0.754
.aggress_comp_6 0.297 0.007 43.077 0.000 0.297 0.368
.p_i 0.228 0.007 35.015 0.000 0.487 0.487
.p_s 0.075 0.009 8.333 0.000 0.418 0.418
.p_q 0.009 0.001 10.718 0.000 0.613 0.613
.g_etaB 0.012 0.002 5.326 0.000 0.073 0.073
.g_eta2 0.008 0.002 5.190 0.000 0.048 0.048
.g_eta4 0.017 0.002 8.223 0.000 0.088 0.088
.g_eta6 0.045 0.004 11.348 0.000 0.183 0.183
.flanker_0 0.684 0.010 68.068 0.000 0.684 0.808
.flanker_2 0.466 0.009 54.453 0.000 0.466 0.733
.flanker_4 0.435 0.009 49.499 0.000 0.435 0.690
.flanker_6 0.417 0.011 38.709 0.000 0.417 0.630
.pattern_0 0.338 0.006 52.569 0.000 0.338 0.583
.pattern_2 0.340 0.008 45.203 0.000 0.340 0.574
.pattern_4 0.385 0.009 42.778 0.000 0.385 0.570
.pattern_6 0.366 0.011 32.937 0.000 0.366 0.502
.picture_0 0.653 0.009 73.383 0.000 0.653 0.918
.picture_2 0.733 0.011 69.170 0.000 0.733 0.923
.picture_4 1.055 0.016 66.200 0.000 1.055 0.938
.picture_6 1.035 0.022 47.842 0.000 1.035 0.922
.picvocab_0 0.562 0.008 69.059 0.000 0.562 0.800
.picvocab_2 0.619 0.009 66.312 0.000 0.619 0.809
.picvocab_4 0.688 0.011 63.171 0.000 0.688 0.803
.picvocab_6 0.663 0.013 49.361 0.000 0.663 0.758
.reading_0 0.575 0.008 68.376 0.000 0.575 0.786
.reading_2 0.549 0.008 64.978 0.000 0.549 0.770
.reading_4 0.665 0.011 62.112 0.000 0.665 0.779
.reading_6 0.706 0.015 47.969 0.000 0.706 0.749
.g_i 0.150 0.004 36.082 0.000 0.997 0.997
.g_s 0.003 0.001 4.318 0.000 0.999 0.999
.pu_etaB 0.010 0.003 3.128 0.002 0.052 0.052
.pu_eta1 0.053 0.002 23.501 0.000 0.229 0.229
.pu_eta2 0.052 0.002 24.068 0.000 0.211 0.211
.pu_eta3 0.048 0.002 23.733 0.000 0.195 0.195
.pu_eta4 0.041 0.002 23.046 0.000 0.190 0.190
.pu_eta5 0.027 0.002 17.721 0.000 0.165 0.165
.pu_eta6 0.011 0.003 4.425 0.000 0.093 0.093
.ph_p_pds_001_0 1.050 0.015 70.005 0.000 1.050 0.844
.ph_p_pds_002_0 0.307 0.007 47.220 0.000 0.307 0.466
.ph_p_pds_003_0 0.329 0.006 52.789 0.000 0.329 0.518
.ph_p_pds_001_1 0.818 0.012 68.707 0.000 0.818 0.778
.ph_p_pds_002_1 0.312 0.007 43.957 0.000 0.312 0.426
.ph_p_pds_003_1 0.414 0.007 55.276 0.000 0.414 0.531
.ph_p_pds_001_2 0.616 0.009 66.083 0.000 0.616 0.714
.ph_p_pds_002_2 0.274 0.007 41.961 0.000 0.274 0.381
.ph_p_pds_003_2 0.422 0.007 57.187 0.000 0.422 0.522
.ph_p_pds_001_3 0.468 0.007 62.957 0.000 0.468 0.656
.ph_p_pds_002_3 0.198 0.005 36.712 0.000 0.198 0.309
.ph_p_pds_003_3 0.373 0.007 56.110 0.000 0.373 0.492
.ph_p_pds_001_4 0.353 0.006 60.962 0.000 0.353 0.622
.ph_p_pds_002_4 0.131 0.004 31.718 0.000 0.131 0.253
.ph_p_pds_003_4 0.305 0.006 53.516 0.000 0.305 0.475
.ph_p_pds_001_5 0.326 0.006 58.979 0.000 0.326 0.668
.ph_p_pds_002_5 0.103 0.003 30.013 0.000 0.103 0.261
.ph_p_pds_003_5 0.266 0.005 52.857 0.000 0.266 0.512
.ph_p_pds_001_6 0.330 0.007 44.744 0.000 0.330 0.730
.ph_p_pds_002_6 0.087 0.004 21.977 0.000 0.087 0.284
.ph_p_pds_003_6 0.249 0.006 41.028 0.000 0.249 0.565
.pu_i 0.166 0.005 35.429 0.000 0.899 0.899
.pu_s 0.146 0.007 22.440 0.000 0.924 0.924
.pu_q 0.013 0.001 21.310 0.000 0.933 0.933
R-Square:
Estimate
a_etaB 0.857
a_eta2 0.738
a_eta4 0.840
asr_nxdp_cmp_0 0.695
asr_wthdp_cm_0 0.537
asr_soma_cmp_0 0.451
asr_thprb_cm_0 0.565
asr_ttprb_cm_0 0.589
asr_rlbrk_cm_0 0.394
asr_ggrss_cm_0 0.573
asr_intr_cmp_0 0.159
asr_nxdp_cmp_2 0.671
asr_wthdp_cm_2 0.533
asr_soma_cmp_2 0.441
asr_thprb_cm_2 0.592
asr_ttprb_cm_2 0.598
asr_rlbrk_cm_2 0.410
asr_ggrss_cm_2 0.574
asr_intr_cmp_2 0.168
asr_nxdp_cmp_4 0.645
asr_wthdp_cm_4 0.525
asr_soma_cmp_4 0.425
asr_thprb_cm_4 0.591
asr_ttprb_cm_4 0.557
asr_rlbrk_cm_4 0.409
asr_ggrss_cm_4 0.566
asr_intr_cmp_4 0.160
a_i 0.000
a_s 0.001
p_etaB 0.854
p_eta1 0.772
p_eta2 0.773
p_eta3 0.784
p_eta4 0.791
p_eta5 0.778
p_eta6 0.906
anxdep_comp_0 0.517
withdep_comp_0 0.502
soma_comp_0 0.302
socprob_comp_0 0.619
thouprob_cmp_0 0.621
attprob_comp_0 0.545
rulebrek_cmp_0 0.458
aggress_comp_0 0.570
anxdep_comp_1 0.505
withdep_comp_1 0.482
soma_comp_1 0.296
socprob_comp_1 0.633
thouprob_cmp_1 0.611
attprob_comp_1 0.545
rulebrek_cmp_1 0.453
aggress_comp_1 0.582
anxdep_comp_2 0.513
withdep_comp_2 0.426
soma_comp_2 0.311
socprob_comp_2 0.653
thouprob_cmp_2 0.635
attprob_comp_2 0.555
rulebrek_cmp_2 0.439
aggress_comp_2 0.588
anxdep_comp_3 0.496
withdep_comp_3 0.362
soma_comp_3 0.305
socprob_comp_3 0.669
thouprob_cmp_3 0.647
attprob_comp_3 0.553
rulebrek_cmp_3 0.420
aggress_comp_3 0.590
anxdep_comp_4 0.503
withdep_comp_4 0.314
soma_comp_4 0.273
socprob_comp_4 0.673
thouprob_cmp_4 0.653
attprob_comp_4 0.565
rulebrek_cmp_4 0.343
aggress_comp_4 0.617
anxdep_comp_5 0.489
withdep_comp_5 0.292
soma_comp_5 0.237
socprob_comp_5 0.675
thouprob_cmp_5 0.617
attprob_comp_5 0.553
rulebrek_cmp_5 0.275
aggress_comp_5 0.613
anxdep_comp_6 0.489
withdep_comp_6 0.286
soma_comp_6 0.216
socprob_comp_6 0.687
thouprob_cmp_6 0.647
attprob_comp_6 0.544
rulebrek_cmp_6 0.246
aggress_comp_6 0.632
p_i 0.513
p_s 0.582
p_q 0.387
g_etaB 0.927
g_eta2 0.952
g_eta4 0.912
g_eta6 0.817
flanker_0 0.192
flanker_2 0.267
flanker_4 0.310
flanker_6 0.370
pattern_0 0.417
pattern_2 0.426
pattern_4 0.430
pattern_6 0.498
picture_0 0.082
picture_2 0.077
picture_4 0.062
picture_6 0.078
picvocab_0 0.200
picvocab_2 0.191
picvocab_4 0.197
picvocab_6 0.242
reading_0 0.214
reading_2 0.230
reading_4 0.221
reading_6 0.251
g_i 0.003
g_s 0.001
pu_etaB 0.948
pu_eta1 0.771
pu_eta2 0.789
pu_eta3 0.805
pu_eta4 0.810
pu_eta5 0.835
pu_eta6 0.907
ph_p_pds_001_0 0.156
ph_p_pds_002_0 0.534
ph_p_pds_003_0 0.482
ph_p_pds_001_1 0.222
ph_p_pds_002_1 0.574
ph_p_pds_003_1 0.469
ph_p_pds_001_2 0.286
ph_p_pds_002_2 0.619
ph_p_pds_003_2 0.478
ph_p_pds_001_3 0.344
ph_p_pds_002_3 0.691
ph_p_pds_003_3 0.508
ph_p_pds_001_4 0.378
ph_p_pds_002_4 0.747
ph_p_pds_003_4 0.525
ph_p_pds_001_5 0.332
ph_p_pds_002_5 0.739
ph_p_pds_003_5 0.488
ph_p_pds_001_6 0.270
ph_p_pds_002_6 0.716
ph_p_pds_003_6 0.435
pu_i 0.101
pu_s 0.076
pu_q 0.067
Symptom model
Externalizing symptoms
Ext ~ pp + g + pu model
Children’s Externalizing symptoms (Ext) was regressed on parental psychopathology (pp), children’s cognitive functioning (g) and children’s puberty (pu).
model fit
Ext.pga_pu6.model <- "# second-order pp factor
#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#observed variable intercepts
asr_anxdep_comp_0~tau_AX*1
asr_withdep_comp_0~tau_AW*1
asr_soma_comp_0~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_attprob_comp_0~tau_AH*1
asr_rulebreak_comp_0~tau_AA*1
asr_aggress_comp_0~tau_AR*1
asr_intru_comp_0~tau_AG*1
asr_anxdep_comp_2~tau_AX*1
asr_withdep_comp_2~tau_AW*1
asr_soma_comp_2~tau_AS*1
asr_thouprob_comp_2~tau_AP*1
asr_attprob_comp_2~tau_AH*1
asr_rulebreak_comp_2~tau_AA*1
asr_aggress_comp_2~tau_AR*1
asr_intru_comp_2~tau_AG*1
asr_anxdep_comp_4~tau_AX*1
asr_withdep_comp_4~tau_AW*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_4~tau_AP*1
asr_attprob_comp_4~tau_AH*1
asr_rulebreak_comp_4~tau_AA*1
asr_aggress_comp_4~tau_AR*1
asr_intru_comp_4~tau_AG*1
#latent basis model
a_i =~ 1*a_etaB+1*a_eta2+1*a_eta4
a_s =~ 0*a_etaB+1*a_eta2+2*a_eta4
a_i~~NA*a_i
a_s~~NA*a_s
a_i~~a_s
a_i~1
a_s~1
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
# second-order g factor
#factor loadings # S & S2
g_etaB =~ 1*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ 1*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ 1*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ 1*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances
g_etaB~~NA*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1
#latent basis model
g_i =~ 1*g_etaB + 1*g_eta2 + 1*g_eta4 + 1*g_eta6
g_s =~ 0*g_etaB + 1*g_eta2 + 2*g_eta4 + 3*g_eta6
g_i~~NA*g_i
g_s~~NA*g_s
g_i~~g_s
g_i~1
g_s~1
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
# second-order puberty factor
#factor loadings
pu_etaB =~ 1*ph_p_pds_001_0 +
lambda_PR*ph_p_pds_002_0 +
lambda_PM*ph_p_pds_003_0
pu_eta1 =~ 1*ph_p_pds_001_1 +
lambda_PR*ph_p_pds_002_1 +
lambda_PM*ph_p_pds_003_1
pu_eta2 =~ 1*ph_p_pds_001_2 +
lambda_PR*ph_p_pds_002_2 +
lambda_PM*ph_p_pds_003_2
pu_eta3 =~ 1*ph_p_pds_001_3 +
lambda_PR*ph_p_pds_002_3 +
lambda_PM*ph_p_pds_003_3
pu_eta4 =~ 1*ph_p_pds_001_4 +
lambda_PR*ph_p_pds_002_4 +
lambda_PM*ph_p_pds_003_4
pu_eta5 =~ 1*ph_p_pds_001_5 +
lambda_PR*ph_p_pds_002_5 +
lambda_PM*ph_p_pds_003_5
pu_eta6 =~ 1*ph_p_pds_001_6 +
lambda_PR*ph_p_pds_002_6 +
lambda_PM*ph_p_pds_003_6
#latent variable variances
pu_etaB~~NA*pu_etaB
pu_eta1~~NA*pu_eta1
pu_eta2~~NA*pu_eta2
pu_eta3~~NA*pu_eta3
pu_eta4~~NA*pu_eta4
pu_eta5~~NA*pu_eta5
pu_eta6~~NA*pu_eta6
#unique variances
ph_p_pds_001_0 ~~ ph_p_pds_001_0
ph_p_pds_002_0 ~~ ph_p_pds_002_0
ph_p_pds_003_0 ~~ ph_p_pds_003_0
ph_p_pds_001_1 ~~ ph_p_pds_001_1
ph_p_pds_002_1 ~~ ph_p_pds_002_1
ph_p_pds_003_1 ~~ ph_p_pds_003_1
ph_p_pds_001_2 ~~ ph_p_pds_001_2
ph_p_pds_002_2 ~~ ph_p_pds_002_2
ph_p_pds_003_2 ~~ ph_p_pds_003_2
ph_p_pds_001_3 ~~ ph_p_pds_001_3
ph_p_pds_002_3 ~~ ph_p_pds_002_3
ph_p_pds_003_3 ~~ ph_p_pds_003_3
ph_p_pds_001_4 ~~ ph_p_pds_001_4
ph_p_pds_002_4 ~~ ph_p_pds_002_4
ph_p_pds_003_4 ~~ ph_p_pds_003_4
ph_p_pds_001_5 ~~ ph_p_pds_001_5
ph_p_pds_002_5 ~~ ph_p_pds_002_5
ph_p_pds_003_5 ~~ ph_p_pds_003_5
ph_p_pds_001_6 ~~ ph_p_pds_001_6
ph_p_pds_002_6 ~~ ph_p_pds_002_6
ph_p_pds_003_6 ~~ ph_p_pds_003_6
#unique covariances
ph_p_pds_001_0 ~~ ph_p_pds_001_1 + ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_1 ~~ ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_2 ~~ ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_3 ~~ ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_4 ~~ ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_5 ~~ ph_p_pds_001_6
ph_p_pds_002_0 ~~ ph_p_pds_002_1 + ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_1 ~~ ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_2 ~~ ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_3 ~~ ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_4 ~~ ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_5 ~~ ph_p_pds_002_6
ph_p_pds_003_0 ~~ ph_p_pds_003_1 + ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_1 ~~ ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_2 ~~ ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_3 ~~ ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_4 ~~ ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_5 ~~ ph_p_pds_003_6
#observed variable intercepts
ph_p_pds_001_0 ~ tau_PS*1
ph_p_pds_001_1 ~ tau_PS*1
ph_p_pds_001_2 ~ tau_PS*1
ph_p_pds_001_3 ~ tau_PS*1
ph_p_pds_001_4 ~ tau_PS*1
ph_p_pds_001_5 ~ tau_PS*1
ph_p_pds_001_6 ~ tau_PS*1
ph_p_pds_002_0 ~ tau_PR*1
ph_p_pds_002_1 ~ tau_PR*1
ph_p_pds_002_2 ~ tau_PR*1
ph_p_pds_002_3 ~ tau_PR*1
ph_p_pds_002_4 ~ tau_PR*1
ph_p_pds_002_5 ~ tau_PR*1
ph_p_pds_002_6 ~ tau_PR*1
ph_p_pds_003_0 ~ tau_PM*1
ph_p_pds_003_1 ~ tau_PM*1
ph_p_pds_003_2 ~ tau_PM*1
ph_p_pds_003_3 ~ tau_PM*1
ph_p_pds_003_4 ~ tau_PM*1
ph_p_pds_003_5 ~ tau_PM*1
ph_p_pds_003_6 ~ tau_PM*1
#latent basis model
pu_i =~ 1*pu_etaB + 1*pu_eta1 + 1*pu_eta2 + 1*pu_eta3 + 1*pu_eta4 + 1*pu_eta5 + 1*pu_eta6
pu_s =~ 0*pu_etaB + 0.5*pu_eta1 + 1*pu_eta2 + 1.5*pu_eta3 + 2*pu_eta4 + 2.5*pu_eta5 + 3*pu_eta6
pu_q =~ 0*pu_etaB + 0.25*pu_eta1 + 1*pu_eta2 + 2.25*pu_eta3 + 4*pu_eta4 + 6.25*pu_eta5 + 9*pu_eta6
pu_i~~NA*pu_i
pu_s~~NA*pu_s
pu_q~~NA*pu_q
pu_i~~pu_s + pu_q
pu_s~~pu_q
pu_i~1
pu_s~1
pu_q~1
pu_etaB~0*1
pu_eta1~0*1
pu_eta2~0*1
pu_eta3~0*1
pu_eta4~0*1
pu_eta5~0*1
pu_eta6~0*1
# Externalizing model
p_i =~ 1*Ext_comp_0 + 1*Ext_comp_1 + 1*Ext_comp_2 + 1*Ext_comp_3 + 1*Ext_comp_4 + 1*Ext_comp_5 + 1*Ext_comp_6
p_s =~ 0*Ext_comp_0 + .5*Ext_comp_1 + 1*Ext_comp_2 + 1.5*Ext_comp_3 + 2*Ext_comp_4 + 2.5*Ext_comp_5 + 3*Ext_comp_6
p_q =~ 0*Ext_comp_0 + .25*Ext_comp_1 + 1*Ext_comp_2 + 2.25*Ext_comp_3 + 4*Ext_comp_4 + 6.25*Ext_comp_5 + 9*Ext_comp_6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1
p_s~1
p_q~1
Ext_comp_0 ~~ NA*Ext_comp_0
Ext_comp_1 ~~ NA*Ext_comp_1
Ext_comp_2 ~~ NA*Ext_comp_2
Ext_comp_3 ~~ NA*Ext_comp_3
Ext_comp_4 ~~ NA*Ext_comp_4
Ext_comp_5 ~~ NA*Ext_comp_5
Ext_comp_6 ~~ NA*Ext_comp_6
Ext_comp_0 ~ 0*1
Ext_comp_1 ~ 0*1
Ext_comp_2 ~ 0*1
Ext_comp_3 ~ 0*1
Ext_comp_4 ~ 0*1
Ext_comp_5 ~ 0*1
Ext_comp_6 ~ 0*1
# regression
p_i ~ g_i + a_i + pu_i
p_s ~ g_i + g_s + a_i + a_s + pu_i + pu_s + pu_q
p_q ~ g_i + g_s + a_i + a_s + pu_i + pu_s + pu_q"lavaan(Ext.pga_pu6.model,
data = readRDS("pga6_all_data.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = FALSE,
std.lv = T
) %>%
saveRDS("pgcm_Ext_pga_pu6_model.rds")result
readRDS("pgcm_Ext_pga_pu6_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_Ext_pga_pu6_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_Ext_pga_pu6_model.rds"), "cor.lv"))$value [1] 5.869089673 4.823641602 3.815739451 2.440213983 2.261114435 0.976689615
[7] 0.936358943 0.617806512 0.566633411 0.229554763 0.221500804 0.200602582
[13] 0.189524878 0.160750246 0.159047844 0.132645758 0.097275370 0.082875951
[19] 0.074424828 0.060860562 0.041649281 0.022543770 0.016688357 0.002767381
readRDS("pgcm_Ext_pga_pu6_result.rds")lavaan 0.6-19 ended normally after 300 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 434
Number of equality constraints 87
Used Total
Number of observations 11866 11867
Number of missing patterns 2194
Model Test User Model:
Test statistic 22331.967
Degrees of freedom 2353
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 420238.389
Degrees of freedom 2556
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.952
Tucker-Lewis Index (TLI) 0.948
Robust Comparative Fit Index (CFI) 0.948
Robust Tucker-Lewis Index (TLI) 0.944
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -717326.109
Loglikelihood unrestricted model (H1) -706160.126
Akaike (AIC) 1435346.219
Bayesian (BIC) 1437907.576
Sample-size adjusted Bayesian (SABIC) 1436804.850
Root Mean Square Error of Approximation:
RMSEA 0.027
90 Percent confidence interval - lower 0.026
90 Percent confidence interval - upper 0.027
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.032
90 Percent confidence interval - lower 0.031
90 Percent confidence interval - upper 0.032
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.052
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.840 0.831
asr___0 (l_AW) 0.894 0.007 126.180 0.000 0.751 0.733
asr___0 (l_AS) 0.796 0.007 111.259 0.000 0.669 0.667
asr___0 (l_AC) 0.933 0.007 124.627 0.000 0.784 0.752
asr___0 (l_AH) 0.908 0.007 130.166 0.000 0.763 0.765
asr___0 (l_AA) 0.788 0.008 98.169 0.000 0.662 0.634
asr___0 (l_AR) 0.930 0.007 124.753 0.000 0.781 0.763
asr___0 (l_AG) 0.491 0.008 59.699 0.000 0.412 0.399
a_eta2 =~
asr___2 1.000 0.827 0.815
asr___2 (l_AW) 0.894 0.007 126.180 0.000 0.740 0.729
asr___2 (l_AS) 0.796 0.007 111.259 0.000 0.659 0.658
asr___2 (l_AC) 0.933 0.007 124.627 0.000 0.772 0.769
asr___2 (l_AH) 0.908 0.007 130.166 0.000 0.751 0.770
asr___2 (l_AA) 0.788 0.008 98.169 0.000 0.652 0.645
asr___2 (l_AR) 0.930 0.007 124.753 0.000 0.770 0.762
asr___2 (l_AG) 0.491 0.008 59.699 0.000 0.406 0.409
a_eta4 =~
asr___4 1.000 0.797 0.799
asr___4 (l_AW) 0.894 0.007 126.180 0.000 0.712 0.723
asr___4 (l_AS) 0.796 0.007 111.259 0.000 0.635 0.646
asr___4 (l_AC) 0.933 0.007 124.627 0.000 0.743 0.768
asr___4 (l_AH) 0.908 0.007 130.166 0.000 0.723 0.743
asr___4 (l_AA) 0.788 0.008 98.169 0.000 0.627 0.645
asr___4 (l_AR) 0.930 0.007 124.753 0.000 0.741 0.758
asr___4 (l_AG) 0.491 0.008 59.699 0.000 0.391 0.399
a_i =~
a_etaB 1.000 0.918 0.918
a_eta2 1.000 0.932 0.932
a_eta4 1.000 0.968 0.968
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.294 0.294
a_eta4 2.000 0.611 0.611
g_etaB =~
flnkr_0 1.000 0.404 0.439
pttrn_0 (lm_R) 1.214 0.011 112.943 0.000 0.491 0.643
pictr_0 (lm_M) 0.600 0.009 64.860 0.000 0.242 0.288
pcvcb_0 (lm_P) 0.930 0.009 107.808 0.000 0.376 0.449
redng_0 (lm_V) 0.981 0.009 111.498 0.000 0.396 0.464
g_eta2 =~
flnkr_2 1.000 0.413 0.518
pttrn_2 (lm_R) 1.214 0.011 112.943 0.000 0.501 0.649
pictr_2 (lm_M) 0.600 0.009 64.860 0.000 0.248 0.278
pcvcb_2 (lm_P) 0.930 0.009 107.808 0.000 0.384 0.439
redng_2 (lm_V) 0.981 0.009 111.498 0.000 0.405 0.480
g_eta4 =~
flnkr_4 1.000 0.444 0.559
pttrn_4 (lm_R) 1.214 0.011 112.943 0.000 0.539 0.653
pictr_4 (lm_M) 0.600 0.009 64.860 0.000 0.266 0.251
pcvcb_4 (lm_P) 0.930 0.009 107.808 0.000 0.412 0.447
redng_4 (lm_V) 0.981 0.009 111.498 0.000 0.435 0.472
g_eta6 =~
flnkr_6 1.000 0.497 0.610
pttrn_6 (lm_R) 1.214 0.011 112.943 0.000 0.604 0.704
pictr_6 (lm_M) 0.600 0.009 64.860 0.000 0.298 0.282
pcvcb_6 (lm_P) 0.930 0.009 107.808 0.000 0.462 0.495
redng_6 (lm_V) 0.981 0.009 111.498 0.000 0.488 0.503
g_i =~
g_etaB 1.000 0.958 0.958
g_eta2 1.000 0.938 0.938
g_eta4 1.000 0.873 0.873
g_eta6 1.000 0.779 0.779
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.117 0.117
g_eta4 2.000 0.218 0.218
g_eta6 3.000 0.291 0.291
pu_etaB =~
p___001 1.000 0.439 0.394
p___002 (l_PR) 1.335 0.010 140.205 0.000 0.586 0.724
p___003 (l_PM) 1.262 0.009 134.904 0.000 0.555 0.699
pu_eta1 =~
p___001 1.000 0.481 0.470
p___002 (l_PR) 1.335 0.010 140.205 0.000 0.642 0.748
p___003 (l_PM) 1.262 0.009 134.904 0.000 0.608 0.691
pu_eta2 =~
p___001 1.000 0.494 0.533
p___002 (l_PR) 1.335 0.010 140.205 0.000 0.660 0.774
p___003 (l_PM) 1.262 0.009 134.904 0.000 0.624 0.698
pu_eta3 =~
p___001 1.000 0.490 0.584
p___002 (l_PR) 1.335 0.010 140.205 0.000 0.654 0.816
p___003 (l_PM) 1.262 0.009 134.904 0.000 0.619 0.719
pu_eta4 =~
p___001 1.000 0.458 0.610
p___002 (l_PR) 1.335 0.010 140.205 0.000 0.611 0.848
p___003 (l_PM) 1.262 0.009 134.904 0.000 0.578 0.734
pu_eta5 =~
p___001 1.000 0.396 0.567
p___002 (l_PR) 1.335 0.010 140.205 0.000 0.529 0.841
p___003 (l_PM) 1.262 0.009 134.904 0.000 0.500 0.709
pu_eta6 =~
p___001 1.000 0.346 0.511
p___002 (l_PR) 1.335 0.010 140.205 0.000 0.462 0.824
p___003 (l_PM) 1.262 0.009 134.904 0.000 0.437 0.671
pu_i =~
pu_etaB 1.000 0.977 0.977
pu_eta1 1.000 0.891 0.891
pu_eta2 1.000 0.868 0.868
pu_eta3 1.000 0.875 0.875
pu_eta4 1.000 0.937 0.937
pu_eta5 1.000 1.083 1.083
pu_eta6 1.000 1.240 1.240
pu_s =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.500 0.414 0.414
pu_eta2 1.000 0.806 0.806
pu_eta3 1.500 1.218 1.218
pu_eta4 2.000 1.739 1.739
pu_eta5 2.500 2.512 2.512
pu_eta6 3.000 3.452 3.452
pu_q =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.250 0.062 0.062
pu_eta2 1.000 0.241 0.241
pu_eta3 2.250 0.548 0.548
pu_eta4 4.000 1.042 1.042
pu_eta5 6.250 1.882 1.882
pu_eta6 9.000 3.103 3.103
p_i =~
Ext_c_0 1.000 0.938 0.900
Ext_c_1 1.000 0.938 0.914
Ext_c_2 1.000 0.938 0.924
Ext_c_3 1.000 0.938 0.928
Ext_c_4 1.000 0.938 0.944
Ext_c_5 1.000 0.938 0.938
Ext_c_6 1.000 0.938 0.980
p_s =~
Ext_c_0 0.000 0.000 0.000
Ext_c_1 0.500 0.283 0.276
Ext_c_2 1.000 0.567 0.558
Ext_c_3 1.500 0.850 0.841
Ext_c_4 2.000 1.134 1.141
Ext_c_5 2.500 1.417 1.417
Ext_c_6 3.000 1.701 1.777
p_q =~
Ext_c_0 0.000 0.000 0.000
Ext_c_1 0.250 0.041 0.040
Ext_c_2 1.000 0.165 0.163
Ext_c_3 2.250 0.371 0.367
Ext_c_4 4.000 0.660 0.664
Ext_c_5 6.250 1.031 1.031
Ext_c_6 9.000 1.485 1.552
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i ~
g_i -0.363 0.027 -13.352 0.000 -0.150 -0.150
a_i 0.678 0.014 50.040 0.000 0.557 0.557
pu_i -0.020 0.023 -0.856 0.392 -0.009 -0.009
p_s ~
g_i 0.176 0.059 2.955 0.003 0.120 0.120
g_s -2.582 1.006 -2.568 0.010 -0.220 -0.220
a_i 0.001 0.015 0.049 0.961 0.001 0.001
a_s 1.453 0.088 16.518 0.000 0.624 0.624
pu_i -0.016 0.042 -0.379 0.705 -0.012 -0.012
pu_s -0.022 0.117 -0.184 0.854 -0.015 -0.015
pu_q -0.184 0.424 -0.434 0.664 -0.039 -0.039
p_q ~
g_i -0.043 0.017 -2.490 0.013 -0.100 -0.100
g_s 0.602 0.286 2.106 0.035 0.176 0.176
a_i -0.013 0.005 -2.665 0.008 -0.059 -0.059
a_s -0.354 0.026 -13.820 0.000 -0.522 -0.522
pu_i 0.014 0.014 0.991 0.322 0.036 0.036
pu_s 0.052 0.039 1.306 0.191 0.125 0.125
pu_q 0.210 0.143 1.472 0.141 0.152 0.152
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.186 0.005 37.257 0.000 0.186 0.563
.asr_nxdp_cmp_4 0.170 0.005 33.045 0.000 0.170 0.504
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.208 0.006 37.631 0.000 0.208 0.588
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.227 0.006 37.002 0.000 0.227 0.471
.asr_wthdp_cm_4 0.206 0.006 33.058 0.000 0.206 0.436
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.225 0.006 35.410 0.000 0.225 0.478
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.282 0.007 41.271 0.000 0.282 0.500
.asr_soma_cmp_4 0.245 0.007 35.380 0.000 0.245 0.438
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.289 0.007 39.563 0.000 0.289 0.511
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.193 0.005 35.351 0.000 0.193 0.437
.asr_thprb_cm_4 0.160 0.005 29.271 0.000 0.160 0.376
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.168 0.005 31.754 0.000 0.168 0.422
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.258 0.005 48.719 0.000 0.258 0.646
.asr_ttprb_cm_4 0.252 0.006 45.100 0.000 0.252 0.603
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.272 0.006 47.765 0.000 0.272 0.670
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.298 0.007 40.839 0.000 0.298 0.478
.asr_rlbrk_cm_4 0.255 0.007 35.280 0.000 0.255 0.424
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.276 0.007 38.094 0.000 0.276 0.481
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.236 0.006 42.240 0.000 0.236 0.544
.asr_ggrss_cm_4 0.212 0.006 38.201 0.000 0.212 0.502
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.240 0.006 41.581 0.000 0.240 0.574
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.495 0.010 51.750 0.000 0.495 0.576
.asr_intr_cmp_4 0.464 0.010 47.811 0.000 0.464 0.545
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.473 0.010 49.495 0.000 0.473 0.582
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.021 0.005 4.227 0.000 0.021 0.054
.asr_soma_cmp_0 0.032 0.005 6.193 0.000 0.032 0.077
.asr_wthdp_cm_2 0.021 0.005 4.305 0.000 0.021 0.054
.asr_soma_cmp_2 0.038 0.005 7.301 0.000 0.038 0.090
.asr_wthdp_cm_4 0.019 0.005 3.822 0.000 0.019 0.051
.asr_soma_cmp_4 0.036 0.005 6.566 0.000 0.036 0.085
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 0.011 0.005 2.269 0.023 0.011 0.028
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.030 0.005 5.802 0.000 0.030 0.069
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.038 0.005 7.223 0.000 0.038 0.094
.asr_soma_cmp_2 0.052 0.006 9.369 0.000 0.052 0.118
.asr_wthdp_cm_4 0.025 0.005 4.818 0.000 0.025 0.063
.asr_soma_cmp_4 0.033 0.006 5.872 0.000 0.033 0.075
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 0.003 0.005 0.628 0.530 0.003 0.008
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.029 0.006 5.239 0.000 0.029 0.065
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.019 0.005 3.495 0.000 0.019 0.045
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.049 0.006 8.491 0.000 0.049 0.108
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.045 0.006 7.994 0.000 0.045 0.110
.asr_soma_cmp_4 0.065 0.006 10.781 0.000 0.065 0.144
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.029 0.006 -4.994 0.000 -0.029 -0.055
.asr_soma_cmp_2 -0.017 0.006 -2.830 0.005 -0.017 -0.032
.asr_soma_cmp_4 -0.032 0.006 -5.208 0.000 -0.032 -0.062
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.011 0.006 -1.942 0.052 -0.011 -0.022
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.012 0.006 -2.011 0.044 -0.012 -0.023
.asr_soma_cmp_4 -0.020 0.006 -3.191 0.001 -0.020 -0.038
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.014 0.006 -2.325 0.020 -0.014 -0.027
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.017 0.006 -2.758 0.006 -0.017 -0.033
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.018 0.006 -2.866 0.004 -0.018 -0.035
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.129 0.007 19.225 0.000 0.129 0.205
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.064 0.006 10.884 0.000 0.064 0.120
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.082 0.006 12.743 0.000 0.082 0.137
.asr_rlbrk_cm_2 0.017 0.006 3.014 0.003 0.017 0.033
.asr_intr_cmp_4 0.090 0.007 13.569 0.000 0.090 0.152
.asr_rlbrk_cm_4 0.025 0.006 4.296 0.000 0.025 0.050
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.091 0.007 13.720 0.000 0.091 0.146
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.043 0.006 7.379 0.000 0.043 0.082
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.133 0.007 20.295 0.000 0.133 0.225
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.037 0.006 6.432 0.000 0.037 0.073
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.104 0.007 15.509 0.000 0.104 0.177
.asr_rlbrk_cm_4 0.035 0.006 6.017 0.000 0.035 0.072
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.093 0.007 13.727 0.000 0.093 0.154
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.049 0.006 8.190 0.000 0.049 0.096
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.099 0.007 15.017 0.000 0.099 0.172
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.039 0.006 6.551 0.000 0.039 0.078
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.133 0.007 19.657 0.000 0.133 0.233
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.055 0.006 9.461 0.000 0.055 0.117
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.117 0.008 15.195 0.000 0.117 0.153
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.065 0.007 8.726 0.000 0.065 0.089
.asr_rlbrk_cm_4 0.070 0.008 9.197 0.000 0.070 0.099
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.070 0.008 9.260 0.000 0.070 0.095
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.109 0.007 14.823 0.000 0.109 0.155
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.068 0.007 9.232 0.000 0.068 0.101
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.083 0.008 10.689 0.000 0.083 0.115
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.075 0.008 9.906 0.000 0.075 0.109
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.107 0.008 14.219 0.000 0.107 0.160
a_i ~~
a_s -0.074 0.005 -15.913 0.000 -0.396 -0.396
.flanker_0 ~~
.flanker_2 0.137 0.007 18.699 0.000 0.137 0.243
.flanker_4 0.097 0.007 12.931 0.000 0.097 0.178
.flanker_6 0.086 0.009 9.231 0.000 0.086 0.160
.flanker_2 ~~
.flanker_4 0.143 0.007 19.717 0.000 0.143 0.318
.flanker_6 0.101 0.008 12.483 0.000 0.101 0.229
.flanker_4 ~~
.flanker_6 0.152 0.009 16.825 0.000 0.152 0.358
.pattern_0 ~~
.pattern_2 0.077 0.005 14.135 0.000 0.077 0.226
.pattern_4 0.043 0.006 7.227 0.000 0.043 0.117
.pattern_6 0.035 0.007 4.964 0.000 0.035 0.099
.pattern_2 ~~
.pattern_4 0.109 0.007 15.846 0.000 0.109 0.297
.pattern_6 0.077 0.008 10.247 0.000 0.077 0.216
.pattern_4 ~~
.pattern_6 0.130 0.009 14.566 0.000 0.130 0.342
.picture_0 ~~
.picture_2 0.252 0.007 33.853 0.000 0.252 0.364
.picture_4 0.257 0.009 28.077 0.000 0.257 0.310
.picture_6 0.281 0.012 23.546 0.000 0.281 0.343
.picture_2 ~~
.picture_4 0.285 0.010 28.056 0.000 0.285 0.325
.picture_6 0.266 0.013 19.858 0.000 0.266 0.306
.picture_4 ~~
.picture_6 0.390 0.016 24.726 0.000 0.390 0.374
.picvocab_0 ~~
.picvocab_2 0.396 0.007 53.205 0.000 0.396 0.676
.picvocab_4 0.400 0.008 50.630 0.000 0.400 0.647
.picvocab_6 0.379 0.009 43.167 0.000 0.379 0.625
.picvocab_2 ~~
.picvocab_4 0.471 0.009 54.007 0.000 0.471 0.726
.picvocab_6 0.458 0.010 47.373 0.000 0.458 0.720
.picvocab_4 ~~
.picvocab_6 0.507 0.010 48.357 0.000 0.507 0.756
.reading_0 ~~
.reading_2 0.403 0.007 54.979 0.000 0.403 0.722
.reading_4 0.407 0.008 50.786 0.000 0.407 0.661
.reading_6 0.416 0.010 43.523 0.000 0.416 0.656
.reading_2 ~~
.reading_4 0.416 0.008 51.281 0.000 0.416 0.692
.reading_6 0.432 0.010 45.245 0.000 0.432 0.698
.reading_4 ~~
.reading_6 0.456 0.011 42.906 0.000 0.456 0.669
.picvocab_0 ~~
.reading_0 0.232 0.006 35.862 0.000 0.232 0.410
.reading_2 0.245 0.007 37.600 0.000 0.245 0.444
.reading_4 0.263 0.007 36.149 0.000 0.263 0.433
.reading_6 0.282 0.009 32.051 0.000 0.282 0.450
.picvocab_2 ~~
.reading_2 0.287 0.007 40.376 0.000 0.287 0.496
.reading_0 ~~
.picvocab_2 0.266 0.007 38.254 0.000 0.266 0.449
.picvocab_2 ~~
.reading_4 0.312 0.008 39.455 0.000 0.312 0.490
.reading_6 0.338 0.010 35.383 0.000 0.338 0.514
.picvocab_4 ~~
.reading_4 0.336 0.009 38.852 0.000 0.336 0.500
.reading_0 ~~
.picvocab_4 0.274 0.007 36.669 0.000 0.274 0.439
.reading_2 ~~
.picvocab_4 0.299 0.008 39.284 0.000 0.299 0.489
.picvocab_4 ~~
.reading_6 0.366 0.010 35.590 0.000 0.366 0.529
.picvocab_6 ~~
.reading_6 0.359 0.011 32.199 0.000 0.359 0.529
.reading_0 ~~
.picvocab_6 0.255 0.009 29.775 0.000 0.255 0.416
.reading_2 ~~
.picvocab_6 0.283 0.009 32.933 0.000 0.283 0.472
.reading_4 ~~
.picvocab_6 0.322 0.010 33.290 0.000 0.322 0.487
g_i ~~
g_s 0.005 0.001 4.249 0.000 0.271 0.271
.ph_p_pds_001_0 ~~
.ph_p_pds_001_1 0.426 0.011 40.296 0.000 0.426 0.460
.ph_p_pds_001_2 0.253 0.009 28.427 0.000 0.253 0.315
.ph_p_pds_001_3 0.135 0.008 17.230 0.000 0.135 0.193
.ph_p_pds_001_4 0.052 0.007 7.306 0.000 0.052 0.084
.ph_p_pds_001_5 0.027 0.007 3.865 0.000 0.027 0.046
.ph_p_pds_001_6 0.023 0.009 2.578 0.010 0.023 0.039
.ph_p_pds_001_1 ~~
.ph_p_pds_001_2 0.296 0.008 36.150 0.000 0.296 0.418
.ph_p_pds_001_3 0.166 0.007 23.330 0.000 0.166 0.269
.ph_p_pds_001_4 0.069 0.006 10.999 0.000 0.069 0.128
.ph_p_pds_001_5 0.034 0.006 5.455 0.000 0.034 0.065
.ph_p_pds_001_6 0.019 0.008 2.369 0.018 0.019 0.036
.ph_p_pds_001_2 ~~
.ph_p_pds_001_3 0.214 0.007 32.878 0.000 0.214 0.400
.ph_p_pds_001_4 0.092 0.006 16.685 0.000 0.092 0.198
.ph_p_pds_001_5 0.040 0.005 7.491 0.000 0.040 0.090
.ph_p_pds_001_6 0.028 0.007 4.048 0.000 0.028 0.061
.ph_p_pds_001_3 ~~
.ph_p_pds_001_4 0.120 0.005 23.630 0.000 0.120 0.295
.ph_p_pds_001_5 0.061 0.005 12.550 0.000 0.061 0.156
.ph_p_pds_001_6 0.035 0.006 5.749 0.000 0.035 0.088
.ph_p_pds_001_4 ~~
.ph_p_pds_001_5 0.134 0.005 29.373 0.000 0.134 0.392
.ph_p_pds_001_6 0.083 0.006 14.670 0.000 0.083 0.241
.ph_p_pds_001_5 ~~
.ph_p_pds_001_6 0.142 0.006 24.946 0.000 0.142 0.424
.ph_p_pds_002_0 ~~
.ph_p_pds_002_1 0.119 0.005 21.786 0.000 0.119 0.374
.ph_p_pds_002_2 0.056 0.005 11.340 0.000 0.056 0.185
.ph_p_pds_002_3 0.023 0.004 5.236 0.000 0.023 0.090
.ph_p_pds_002_4 0.007 0.004 1.881 0.060 0.007 0.035
.ph_p_pds_002_5 0.001 0.004 0.202 0.840 0.001 0.004
.ph_p_pds_002_6 0.001 0.005 0.120 0.905 0.001 0.003
.ph_p_pds_002_1 ~~
.ph_p_pds_002_2 0.124 0.005 23.172 0.000 0.124 0.402
.ph_p_pds_002_3 0.057 0.005 12.078 0.000 0.057 0.215
.ph_p_pds_002_4 0.012 0.004 3.068 0.002 0.012 0.057
.ph_p_pds_002_5 0.008 0.004 2.090 0.037 0.008 0.040
.ph_p_pds_002_6 0.026 0.005 5.689 0.000 0.026 0.145
.ph_p_pds_002_2 ~~
.ph_p_pds_002_3 0.100 0.005 20.838 0.000 0.100 0.399
.ph_p_pds_002_4 0.030 0.004 7.267 0.000 0.030 0.143
.ph_p_pds_002_5 0.011 0.004 2.833 0.005 0.011 0.057
.ph_p_pds_002_6 0.032 0.004 7.395 0.000 0.032 0.189
.ph_p_pds_002_3 ~~
.ph_p_pds_002_4 0.046 0.004 11.754 0.000 0.046 0.257
.ph_p_pds_002_5 0.020 0.003 5.638 0.000 0.020 0.124
.ph_p_pds_002_6 0.033 0.004 8.240 0.000 0.033 0.221
.ph_p_pds_002_4 ~~
.ph_p_pds_002_5 0.037 0.003 11.462 0.000 0.037 0.286
.ph_p_pds_002_6 0.023 0.004 6.387 0.000 0.023 0.193
.ph_p_pds_002_5 ~~
.ph_p_pds_002_6 0.028 0.004 8.116 0.000 0.028 0.263
.ph_p_pds_003_0 ~~
.ph_p_pds_003_1 0.134 0.005 24.793 0.000 0.134 0.371
.ph_p_pds_003_2 0.082 0.005 16.258 0.000 0.082 0.226
.ph_p_pds_003_3 0.046 0.005 9.766 0.000 0.046 0.136
.ph_p_pds_003_4 0.018 0.004 4.062 0.000 0.018 0.059
.ph_p_pds_003_5 0.020 0.004 4.721 0.000 0.020 0.070
.ph_p_pds_003_6 0.007 0.005 1.267 0.205 0.007 0.024
.ph_p_pds_003_1 ~~
.ph_p_pds_003_2 0.165 0.006 28.800 0.000 0.165 0.405
.ph_p_pds_003_3 0.089 0.005 16.890 0.000 0.089 0.233
.ph_p_pds_003_4 0.027 0.005 5.594 0.000 0.027 0.078
.ph_p_pds_003_5 0.013 0.005 2.804 0.005 0.013 0.040
.ph_p_pds_003_6 0.007 0.006 1.198 0.231 0.007 0.022
.ph_p_pds_003_2 ~~
.ph_p_pds_003_3 0.157 0.005 28.633 0.000 0.157 0.410
.ph_p_pds_003_4 0.065 0.005 13.321 0.000 0.065 0.191
.ph_p_pds_003_5 0.037 0.005 7.992 0.000 0.037 0.116
.ph_p_pds_003_6 0.015 0.006 2.719 0.007 0.015 0.050
.ph_p_pds_003_3 ~~
.ph_p_pds_003_4 0.106 0.005 21.974 0.000 0.106 0.330
.ph_p_pds_003_5 0.056 0.004 12.481 0.000 0.056 0.186
.ph_p_pds_003_6 0.038 0.005 7.181 0.000 0.038 0.132
.ph_p_pds_003_4 ~~
.ph_p_pds_003_5 0.086 0.004 19.819 0.000 0.086 0.322
.ph_p_pds_003_6 0.063 0.005 12.431 0.000 0.063 0.245
.ph_p_pds_003_5 ~~
.ph_p_pds_003_6 0.073 0.005 15.406 0.000 0.073 0.306
pu_i ~~
pu_s -0.033 0.005 -7.230 0.000 -0.194 -0.194
pu_q -0.006 0.001 -4.313 0.000 -0.112 -0.112
pu_s ~~
pu_q -0.044 0.002 -21.689 0.000 -0.918 -0.918
.p_i ~~
.p_s -0.097 0.011 -9.168 0.000 -0.298 -0.298
.p_q 0.007 0.003 2.049 0.040 0.062 0.062
.p_s ~~
.p_q -0.050 0.005 -9.780 0.000 -0.846 -0.846
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) -0.002 0.004 -0.538 0.590 -0.002 -0.002
.asr___0 (t_AW) 0.005 0.005 1.044 0.296 0.005 0.005
.asr___0 (t_AS) 0.001 0.005 0.123 0.902 0.001 0.001
.asr___0 (t_AP) 0.003 0.005 0.722 0.470 0.003 0.003
.asr___0 (t_AH) 0.003 0.005 0.551 0.581 0.003 0.003
.asr___0 (t_AA) 0.009 0.005 1.632 0.103 0.009 0.009
.asr___0 (t_AR) 0.004 0.005 0.879 0.379 0.004 0.004
.asr___0 (t_AG) 0.001 0.007 0.150 0.881 0.001 0.001
.asr___2 (t_AX) -0.002 0.004 -0.538 0.590 -0.002 -0.002
.asr___2 (t_AW) 0.005 0.005 1.044 0.296 0.005 0.005
.asr___2 (t_AS) 0.001 0.005 0.123 0.902 0.001 0.001
.asr___2 (t_AP) 0.003 0.005 0.722 0.470 0.003 0.003
.asr___2 (t_AH) 0.003 0.005 0.551 0.581 0.003 0.003
.asr___2 (t_AA) 0.009 0.005 1.632 0.103 0.009 0.009
.asr___2 (t_AR) 0.004 0.005 0.879 0.379 0.004 0.004
.asr___2 (t_AG) 0.001 0.007 0.150 0.881 0.001 0.001
.asr___4 (t_AX) -0.002 0.004 -0.538 0.590 -0.002 -0.002
.asr___4 (t_AW) 0.005 0.005 1.044 0.296 0.005 0.005
.asr___4 (t_AS) 0.001 0.005 0.123 0.902 0.001 0.001
.asr___4 (t_AP) 0.003 0.005 0.722 0.470 0.003 0.003
.asr___4 (t_AH) 0.003 0.005 0.551 0.581 0.003 0.003
.asr___4 (t_AA) 0.009 0.005 1.632 0.103 0.009 0.009
.asr___4 (t_AR) 0.004 0.005 0.879 0.379 0.004 0.004
.asr___4 (t_AG) 0.001 0.007 0.150 0.881 0.001 0.001
a_i 0.022 0.008 2.896 0.004 0.029 0.029
a_s -0.023 0.004 -6.489 0.000 -0.096 -0.096
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.flnkr_0 (ta_S) 0.106 0.007 15.701 0.000 0.106 0.116
.flnkr_2 (ta_S) 0.106 0.007 15.701 0.000 0.106 0.134
.flnkr_4 (ta_S) 0.106 0.007 15.701 0.000 0.106 0.134
.flnkr_6 (ta_S) 0.106 0.007 15.701 0.000 0.106 0.131
.pttrn_0 (ta_R) 0.123 0.007 16.834 0.000 0.123 0.162
.pttrn_2 (ta_R) 0.123 0.007 16.834 0.000 0.123 0.160
.pttrn_4 (ta_R) 0.123 0.007 16.834 0.000 0.123 0.150
.pttrn_6 (ta_R) 0.123 0.007 16.834 0.000 0.123 0.144
.pictr_0 (ta_M) 0.057 0.007 8.112 0.000 0.057 0.067
.pictr_2 (ta_M) 0.057 0.007 8.112 0.000 0.057 0.064
.pictr_4 (ta_M) 0.057 0.007 8.112 0.000 0.057 0.054
.pictr_6 (ta_M) 0.057 0.007 8.112 0.000 0.057 0.054
.pcvcb_0 (ta_P) 0.055 0.007 8.038 0.000 0.055 0.065
.pcvcb_2 (ta_P) 0.055 0.007 8.038 0.000 0.055 0.063
.pcvcb_4 (ta_P) 0.055 0.007 8.038 0.000 0.055 0.059
.pcvcb_6 (ta_P) 0.055 0.007 8.038 0.000 0.055 0.059
.redng_0 (ta_V) 0.065 0.007 9.545 0.000 0.065 0.077
.redng_2 (ta_V) 0.065 0.007 9.545 0.000 0.065 0.078
.redng_4 (ta_V) 0.065 0.007 9.545 0.000 0.065 0.071
.redng_6 (ta_V) 0.065 0.007 9.545 0.000 0.065 0.067
g_i -0.660 0.008 -81.387 0.000 -1.705 -1.705
g_s 0.472 0.004 128.335 0.000 9.781 9.781
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
.p___001 (t_PS) 0.055 0.004 15.131 0.000 0.055 0.049
.p___001 (t_PS) 0.055 0.004 15.131 0.000 0.055 0.054
.p___001 (t_PS) 0.055 0.004 15.131 0.000 0.055 0.059
.p___001 (t_PS) 0.055 0.004 15.131 0.000 0.055 0.065
.p___001 (t_PS) 0.055 0.004 15.131 0.000 0.055 0.073
.p___001 (t_PS) 0.055 0.004 15.131 0.000 0.055 0.079
.p___001 (t_PS) 0.055 0.004 15.131 0.000 0.055 0.081
.p___002 (t_PR) 0.115 0.002 49.204 0.000 0.115 0.142
.p___002 (t_PR) 0.115 0.002 49.204 0.000 0.115 0.134
.p___002 (t_PR) 0.115 0.002 49.204 0.000 0.115 0.135
.p___002 (t_PR) 0.115 0.002 49.204 0.000 0.115 0.143
.p___002 (t_PR) 0.115 0.002 49.204 0.000 0.115 0.159
.p___002 (t_PR) 0.115 0.002 49.204 0.000 0.115 0.183
.p___002 (t_PR) 0.115 0.002 49.204 0.000 0.115 0.205
.p___003 (t_PM) 0.105 0.003 41.386 0.000 0.105 0.132
.p___003 (t_PM) 0.105 0.003 41.386 0.000 0.105 0.119
.p___003 (t_PM) 0.105 0.003 41.386 0.000 0.105 0.117
.p___003 (t_PM) 0.105 0.003 41.386 0.000 0.105 0.122
.p___003 (t_PM) 0.105 0.003 41.386 0.000 0.105 0.133
.p___003 (t_PM) 0.105 0.003 41.386 0.000 0.105 0.149
.p___003 (t_PM) 0.105 0.003 41.386 0.000 0.105 0.161
pu_i -0.735 0.007 -110.459 0.000 -1.714 -1.714
pu_s 0.597 0.007 86.627 0.000 1.498 1.498
pu_q -0.043 0.002 -22.473 0.000 -0.361 -0.361
.pu_etaB 0.000 0.000 0.000
.pu_eta1 0.000 0.000 0.000
.pu_eta2 0.000 0.000 0.000
.pu_eta3 0.000 0.000 0.000
.pu_eta4 0.000 0.000 0.000
.pu_eta5 0.000 0.000 0.000
.pu_eta6 0.000 0.000 0.000
.p_i -0.180 0.026 -6.890 0.000 -0.192 -0.192
.p_s 1.307 0.508 2.575 0.010 2.306 2.306
.p_q -0.333 0.144 -2.310 0.021 -2.020 -2.020
.Ext_c_0 0.000 0.000 0.000
.Ext_c_1 0.000 0.000 0.000
.Ext_c_2 0.000 0.000 0.000
.Ext_c_3 0.000 0.000 0.000
.Ext_c_4 0.000 0.000 0.000
.Ext_c_5 0.000 0.000 0.000
.Ext_c_6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.111 0.007 16.169 0.000 0.157 0.157
.a_eta2 0.179 0.005 37.525 0.000 0.262 0.262
.a_eta4 0.100 0.008 13.213 0.000 0.158 0.158
.asr_nxdp_cmp_0 0.316 0.006 53.186 0.000 0.316 0.309
.asr_wthdp_cm_0 0.486 0.008 62.796 0.000 0.486 0.463
.asr_soma_cmp_0 0.558 0.008 66.517 0.000 0.558 0.555
.asr_thprb_cm_0 0.472 0.007 65.029 0.000 0.472 0.435
.asr_ttprb_cm_0 0.412 0.006 64.333 0.000 0.412 0.414
.asr_rlbrk_cm_0 0.652 0.009 69.320 0.000 0.652 0.598
.asr_ggrss_cm_0 0.439 0.007 63.461 0.000 0.439 0.418
.asr_intr_cmp_0 0.898 0.012 74.817 0.000 0.898 0.841
.asr_nxdp_cmp_2 0.346 0.006 53.501 0.000 0.346 0.336
.asr_wthdp_cm_2 0.481 0.008 60.946 0.000 0.481 0.468
.asr_soma_cmp_2 0.567 0.009 64.682 0.000 0.567 0.566
.asr_thprb_cm_2 0.412 0.007 61.575 0.000 0.412 0.409
.asr_ttprb_cm_2 0.387 0.006 61.203 0.000 0.387 0.407
.asr_rlbrk_cm_2 0.596 0.009 66.271 0.000 0.596 0.584
.asr_ggrss_cm_2 0.427 0.007 61.385 0.000 0.427 0.419
.asr_intr_cmp_2 0.821 0.011 71.971 0.000 0.821 0.833
.asr_nxdp_cmp_4 0.360 0.007 50.879 0.000 0.360 0.362
.asr_wthdp_cm_4 0.462 0.008 57.106 0.000 0.462 0.477
.asr_soma_cmp_4 0.561 0.009 60.452 0.000 0.561 0.582
.asr_thprb_cm_4 0.384 0.007 56.995 0.000 0.384 0.410
.asr_ttprb_cm_4 0.425 0.007 58.495 0.000 0.425 0.448
.asr_rlbrk_cm_4 0.554 0.009 61.491 0.000 0.554 0.584
.asr_ggrss_cm_4 0.407 0.007 57.275 0.000 0.407 0.426
.asr_intr_cmp_4 0.805 0.012 67.678 0.000 0.805 0.841
a_i 0.595 0.013 47.516 0.000 1.000 1.000
a_s 0.059 0.003 17.129 0.000 1.000 1.000
.g_etaB 0.013 0.002 5.924 0.000 0.082 0.082
.g_eta2 0.008 0.002 5.054 0.000 0.047 0.047
.g_eta4 0.017 0.002 8.241 0.000 0.088 0.088
.g_eta6 0.046 0.004 11.576 0.000 0.186 0.186
.flanker_0 0.683 0.010 68.022 0.000 0.683 0.807
.flanker_2 0.465 0.009 54.386 0.000 0.465 0.732
.flanker_4 0.434 0.009 49.456 0.000 0.434 0.688
.flanker_6 0.417 0.011 38.662 0.000 0.417 0.628
.pattern_0 0.341 0.006 52.906 0.000 0.341 0.586
.pattern_2 0.344 0.008 45.561 0.000 0.344 0.578
.pattern_4 0.390 0.009 43.193 0.000 0.390 0.574
.pattern_6 0.371 0.011 33.206 0.000 0.371 0.504
.picture_0 0.652 0.009 73.346 0.000 0.652 0.917
.picture_2 0.732 0.011 69.137 0.000 0.732 0.923
.picture_4 1.054 0.016 66.178 0.000 1.054 0.937
.picture_6 1.034 0.022 47.829 0.000 1.034 0.921
.picvocab_0 0.559 0.008 68.966 0.000 0.559 0.798
.picvocab_2 0.615 0.009 66.205 0.000 0.615 0.807
.picvocab_4 0.683 0.011 63.055 0.000 0.683 0.801
.picvocab_6 0.658 0.013 49.232 0.000 0.658 0.755
.reading_0 0.572 0.008 68.315 0.000 0.572 0.785
.reading_2 0.546 0.008 64.909 0.000 0.546 0.769
.reading_4 0.662 0.011 62.045 0.000 0.662 0.778
.reading_6 0.702 0.015 47.883 0.000 0.702 0.747
g_i 0.150 0.004 35.860 0.000 1.000 1.000
g_s 0.002 0.001 3.663 0.000 1.000 1.000
.pu_etaB 0.009 0.003 2.764 0.006 0.046 0.046
.pu_eta1 0.054 0.002 23.636 0.000 0.233 0.233
.pu_eta2 0.052 0.002 24.148 0.000 0.215 0.215
.pu_eta3 0.047 0.002 23.345 0.000 0.196 0.196
.pu_eta4 0.040 0.002 22.389 0.000 0.191 0.191
.pu_eta5 0.026 0.002 17.041 0.000 0.168 0.168
.pu_eta6 0.013 0.003 4.862 0.000 0.108 0.108
.ph_p_pds_001_0 1.052 0.015 69.922 0.000 1.052 0.845
.ph_p_pds_002_0 0.313 0.007 47.801 0.000 0.313 0.476
.ph_p_pds_003_0 0.322 0.006 51.668 0.000 0.322 0.511
.ph_p_pds_001_1 0.818 0.012 68.478 0.000 0.818 0.779
.ph_p_pds_002_1 0.326 0.007 44.811 0.000 0.326 0.441
.ph_p_pds_003_1 0.405 0.008 53.817 0.000 0.405 0.523
.ph_p_pds_001_2 0.614 0.009 65.673 0.000 0.614 0.716
.ph_p_pds_002_2 0.292 0.007 43.063 0.000 0.292 0.402
.ph_p_pds_003_2 0.410 0.007 55.249 0.000 0.410 0.513
.ph_p_pds_001_3 0.465 0.007 62.373 0.000 0.465 0.659
.ph_p_pds_002_3 0.215 0.006 37.957 0.000 0.215 0.335
.ph_p_pds_003_3 0.358 0.007 53.761 0.000 0.358 0.483
.ph_p_pds_001_4 0.353 0.006 60.351 0.000 0.353 0.628
.ph_p_pds_002_4 0.146 0.004 32.863 0.000 0.146 0.282
.ph_p_pds_003_4 0.286 0.006 50.181 0.000 0.286 0.461
.ph_p_pds_001_5 0.331 0.006 58.164 0.000 0.331 0.678
.ph_p_pds_002_5 0.116 0.004 30.625 0.000 0.116 0.294
.ph_p_pds_003_5 0.248 0.005 49.263 0.000 0.248 0.498
.ph_p_pds_001_6 0.339 0.008 44.155 0.000 0.339 0.739
.ph_p_pds_002_6 0.101 0.004 22.710 0.000 0.101 0.321
.ph_p_pds_003_6 0.233 0.006 38.409 0.000 0.233 0.549
pu_i 0.184 0.005 37.256 0.000 1.000 1.000
pu_s 0.159 0.007 23.422 0.000 1.000 1.000
pu_q 0.014 0.001 22.144 0.000 1.000 1.000
.p_i 0.587 0.012 48.837 0.000 0.667 0.667
.p_s 0.181 0.017 10.364 0.000 0.563 0.563
.p_q 0.019 0.002 12.027 0.000 0.714 0.714
.Ext_comp_0 0.207 0.007 28.652 0.000 0.207 0.191
.Ext_comp_1 0.277 0.005 57.047 0.000 0.277 0.263
.Ext_comp_2 0.277 0.005 57.071 0.000 0.277 0.269
.Ext_comp_3 0.273 0.005 53.984 0.000 0.273 0.267
.Ext_comp_4 0.249 0.005 52.084 0.000 0.249 0.252
.Ext_comp_5 0.260 0.006 47.026 0.000 0.260 0.260
.Ext_comp_6 0.100 0.008 12.233 0.000 0.100 0.110
R-Square:
Estimate
a_etaB 0.843
a_eta2 0.738
a_eta4 0.842
asr_nxdp_cmp_0 0.691
asr_wthdp_cm_0 0.537
asr_soma_cmp_0 0.445
asr_thprb_cm_0 0.565
asr_ttprb_cm_0 0.586
asr_rlbrk_cm_0 0.402
asr_ggrss_cm_0 0.582
asr_intr_cmp_0 0.159
asr_nxdp_cmp_2 0.664
asr_wthdp_cm_2 0.532
asr_soma_cmp_2 0.434
asr_thprb_cm_2 0.591
asr_ttprb_cm_2 0.593
asr_rlbrk_cm_2 0.416
asr_ggrss_cm_2 0.581
asr_intr_cmp_2 0.167
asr_nxdp_cmp_4 0.638
asr_wthdp_cm_4 0.523
asr_soma_cmp_4 0.418
asr_thprb_cm_4 0.590
asr_ttprb_cm_4 0.552
asr_rlbrk_cm_4 0.416
asr_ggrss_cm_4 0.574
asr_intr_cmp_4 0.159
g_etaB 0.918
g_eta2 0.953
g_eta4 0.912
g_eta6 0.814
flanker_0 0.193
flanker_2 0.268
flanker_4 0.312
flanker_6 0.372
pattern_0 0.414
pattern_2 0.422
pattern_4 0.426
pattern_6 0.496
picture_0 0.083
picture_2 0.077
picture_4 0.063
picture_6 0.079
picvocab_0 0.202
picvocab_2 0.193
picvocab_4 0.199
picvocab_6 0.245
reading_0 0.215
reading_2 0.231
reading_4 0.222
reading_6 0.253
pu_etaB 0.954
pu_eta1 0.767
pu_eta2 0.785
pu_eta3 0.804
pu_eta4 0.809
pu_eta5 0.832
pu_eta6 0.892
ph_p_pds_001_0 0.155
ph_p_pds_002_0 0.524
ph_p_pds_003_0 0.489
ph_p_pds_001_1 0.221
ph_p_pds_002_1 0.559
ph_p_pds_003_1 0.477
ph_p_pds_001_2 0.284
ph_p_pds_002_2 0.598
ph_p_pds_003_2 0.487
ph_p_pds_001_3 0.341
ph_p_pds_002_3 0.665
ph_p_pds_003_3 0.517
ph_p_pds_001_4 0.372
ph_p_pds_002_4 0.718
ph_p_pds_003_4 0.539
ph_p_pds_001_5 0.322
ph_p_pds_002_5 0.706
ph_p_pds_003_5 0.502
ph_p_pds_001_6 0.261
ph_p_pds_002_6 0.679
ph_p_pds_003_6 0.451
p_i 0.333
p_s 0.437
p_q 0.286
Ext_comp_0 0.809
Ext_comp_1 0.737
Ext_comp_2 0.731
Ext_comp_3 0.733
Ext_comp_4 0.748
Ext_comp_5 0.740
Ext_comp_6 0.890
Ext ~ pp + g + pu model with sex
Children’s Externalizing symptoms (Ext) was regressed on parental psychopathology (pp), children’s cognitive functioning (g) and children’s puberty (pu), with sex as covariate.
model fit
# Add sex as covariate
Ext.pga_pu6.sex.model <- Ext.pga_pu6.model %>%
str_replace_all(
c(
"_i ~ 1" = "_i ~ 1 + dummy_sex",
"_s ~ 1" = "_s ~ 1 + dummy_sex",
"_q ~ 1" = "_q ~ 1 + dummy_sex",
"_i~1" = "_i~1 + dummy_sex",
"_s~1" = "_s~1 + dummy_sex",
"_q~1" = "_q~1 + dummy_sex"
)
)
writeLines(Ext.pga_pu6.sex.model)# second-order pp factor
#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#observed variable intercepts
asr_anxdep_comp_0~tau_AX*1
asr_withdep_comp_0~tau_AW*1
asr_soma_comp_0~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_attprob_comp_0~tau_AH*1
asr_rulebreak_comp_0~tau_AA*1
asr_aggress_comp_0~tau_AR*1
asr_intru_comp_0~tau_AG*1
asr_anxdep_comp_2~tau_AX*1
asr_withdep_comp_2~tau_AW*1
asr_soma_comp_2~tau_AS*1
asr_thouprob_comp_2~tau_AP*1
asr_attprob_comp_2~tau_AH*1
asr_rulebreak_comp_2~tau_AA*1
asr_aggress_comp_2~tau_AR*1
asr_intru_comp_2~tau_AG*1
asr_anxdep_comp_4~tau_AX*1
asr_withdep_comp_4~tau_AW*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_4~tau_AP*1
asr_attprob_comp_4~tau_AH*1
asr_rulebreak_comp_4~tau_AA*1
asr_aggress_comp_4~tau_AR*1
asr_intru_comp_4~tau_AG*1
#latent basis model
a_i =~ 1*a_etaB+1*a_eta2+1*a_eta4
a_s =~ 0*a_etaB+1*a_eta2+2*a_eta4
a_i~~NA*a_i
a_s~~NA*a_s
a_i~~a_s
a_i~1 + dummy_sex
a_s~1 + dummy_sex
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
# second-order g factor
#factor loadings # S & S2
g_etaB =~ 1*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ 1*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ 1*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ 1*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances
g_etaB~~NA*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1
#latent basis model
g_i =~ 1*g_etaB + 1*g_eta2 + 1*g_eta4 + 1*g_eta6
g_s =~ 0*g_etaB + 1*g_eta2 + 2*g_eta4 + 3*g_eta6
g_i~~NA*g_i
g_s~~NA*g_s
g_i~~g_s
g_i~1 + dummy_sex
g_s~1 + dummy_sex
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
# second-order puberty factor
#factor loadings
pu_etaB =~ 1*ph_p_pds_001_0 +
lambda_PR*ph_p_pds_002_0 +
lambda_PM*ph_p_pds_003_0
pu_eta1 =~ 1*ph_p_pds_001_1 +
lambda_PR*ph_p_pds_002_1 +
lambda_PM*ph_p_pds_003_1
pu_eta2 =~ 1*ph_p_pds_001_2 +
lambda_PR*ph_p_pds_002_2 +
lambda_PM*ph_p_pds_003_2
pu_eta3 =~ 1*ph_p_pds_001_3 +
lambda_PR*ph_p_pds_002_3 +
lambda_PM*ph_p_pds_003_3
pu_eta4 =~ 1*ph_p_pds_001_4 +
lambda_PR*ph_p_pds_002_4 +
lambda_PM*ph_p_pds_003_4
pu_eta5 =~ 1*ph_p_pds_001_5 +
lambda_PR*ph_p_pds_002_5 +
lambda_PM*ph_p_pds_003_5
pu_eta6 =~ 1*ph_p_pds_001_6 +
lambda_PR*ph_p_pds_002_6 +
lambda_PM*ph_p_pds_003_6
#latent variable variances
pu_etaB~~NA*pu_etaB
pu_eta1~~NA*pu_eta1
pu_eta2~~NA*pu_eta2
pu_eta3~~NA*pu_eta3
pu_eta4~~NA*pu_eta4
pu_eta5~~NA*pu_eta5
pu_eta6~~NA*pu_eta6
#unique variances
ph_p_pds_001_0 ~~ ph_p_pds_001_0
ph_p_pds_002_0 ~~ ph_p_pds_002_0
ph_p_pds_003_0 ~~ ph_p_pds_003_0
ph_p_pds_001_1 ~~ ph_p_pds_001_1
ph_p_pds_002_1 ~~ ph_p_pds_002_1
ph_p_pds_003_1 ~~ ph_p_pds_003_1
ph_p_pds_001_2 ~~ ph_p_pds_001_2
ph_p_pds_002_2 ~~ ph_p_pds_002_2
ph_p_pds_003_2 ~~ ph_p_pds_003_2
ph_p_pds_001_3 ~~ ph_p_pds_001_3
ph_p_pds_002_3 ~~ ph_p_pds_002_3
ph_p_pds_003_3 ~~ ph_p_pds_003_3
ph_p_pds_001_4 ~~ ph_p_pds_001_4
ph_p_pds_002_4 ~~ ph_p_pds_002_4
ph_p_pds_003_4 ~~ ph_p_pds_003_4
ph_p_pds_001_5 ~~ ph_p_pds_001_5
ph_p_pds_002_5 ~~ ph_p_pds_002_5
ph_p_pds_003_5 ~~ ph_p_pds_003_5
ph_p_pds_001_6 ~~ ph_p_pds_001_6
ph_p_pds_002_6 ~~ ph_p_pds_002_6
ph_p_pds_003_6 ~~ ph_p_pds_003_6
#unique covariances
ph_p_pds_001_0 ~~ ph_p_pds_001_1 + ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_1 ~~ ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_2 ~~ ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_3 ~~ ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_4 ~~ ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_5 ~~ ph_p_pds_001_6
ph_p_pds_002_0 ~~ ph_p_pds_002_1 + ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_1 ~~ ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_2 ~~ ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_3 ~~ ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_4 ~~ ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_5 ~~ ph_p_pds_002_6
ph_p_pds_003_0 ~~ ph_p_pds_003_1 + ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_1 ~~ ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_2 ~~ ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_3 ~~ ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_4 ~~ ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_5 ~~ ph_p_pds_003_6
#observed variable intercepts
ph_p_pds_001_0 ~ tau_PS*1
ph_p_pds_001_1 ~ tau_PS*1
ph_p_pds_001_2 ~ tau_PS*1
ph_p_pds_001_3 ~ tau_PS*1
ph_p_pds_001_4 ~ tau_PS*1
ph_p_pds_001_5 ~ tau_PS*1
ph_p_pds_001_6 ~ tau_PS*1
ph_p_pds_002_0 ~ tau_PR*1
ph_p_pds_002_1 ~ tau_PR*1
ph_p_pds_002_2 ~ tau_PR*1
ph_p_pds_002_3 ~ tau_PR*1
ph_p_pds_002_4 ~ tau_PR*1
ph_p_pds_002_5 ~ tau_PR*1
ph_p_pds_002_6 ~ tau_PR*1
ph_p_pds_003_0 ~ tau_PM*1
ph_p_pds_003_1 ~ tau_PM*1
ph_p_pds_003_2 ~ tau_PM*1
ph_p_pds_003_3 ~ tau_PM*1
ph_p_pds_003_4 ~ tau_PM*1
ph_p_pds_003_5 ~ tau_PM*1
ph_p_pds_003_6 ~ tau_PM*1
#latent basis model
pu_i =~ 1*pu_etaB + 1*pu_eta1 + 1*pu_eta2 + 1*pu_eta3 + 1*pu_eta4 + 1*pu_eta5 + 1*pu_eta6
pu_s =~ 0*pu_etaB + 0.5*pu_eta1 + 1*pu_eta2 + 1.5*pu_eta3 + 2*pu_eta4 + 2.5*pu_eta5 + 3*pu_eta6
pu_q =~ 0*pu_etaB + 0.25*pu_eta1 + 1*pu_eta2 + 2.25*pu_eta3 + 4*pu_eta4 + 6.25*pu_eta5 + 9*pu_eta6
pu_i~~NA*pu_i
pu_s~~NA*pu_s
pu_q~~NA*pu_q
pu_i~~pu_s + pu_q
pu_s~~pu_q
pu_i~1 + dummy_sex
pu_s~1 + dummy_sex
pu_q~1 + dummy_sex
pu_etaB~0*1
pu_eta1~0*1
pu_eta2~0*1
pu_eta3~0*1
pu_eta4~0*1
pu_eta5~0*1
pu_eta6~0*1
# Externalizing model
p_i =~ 1*Ext_comp_0 + 1*Ext_comp_1 + 1*Ext_comp_2 + 1*Ext_comp_3 + 1*Ext_comp_4 + 1*Ext_comp_5 + 1*Ext_comp_6
p_s =~ 0*Ext_comp_0 + .5*Ext_comp_1 + 1*Ext_comp_2 + 1.5*Ext_comp_3 + 2*Ext_comp_4 + 2.5*Ext_comp_5 + 3*Ext_comp_6
p_q =~ 0*Ext_comp_0 + .25*Ext_comp_1 + 1*Ext_comp_2 + 2.25*Ext_comp_3 + 4*Ext_comp_4 + 6.25*Ext_comp_5 + 9*Ext_comp_6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1 + dummy_sex
p_s~1 + dummy_sex
p_q~1 + dummy_sex
Ext_comp_0 ~~ NA*Ext_comp_0
Ext_comp_1 ~~ NA*Ext_comp_1
Ext_comp_2 ~~ NA*Ext_comp_2
Ext_comp_3 ~~ NA*Ext_comp_3
Ext_comp_4 ~~ NA*Ext_comp_4
Ext_comp_5 ~~ NA*Ext_comp_5
Ext_comp_6 ~~ NA*Ext_comp_6
Ext_comp_0 ~ 0*1
Ext_comp_1 ~ 0*1
Ext_comp_2 ~ 0*1
Ext_comp_3 ~ 0*1
Ext_comp_4 ~ 0*1
Ext_comp_5 ~ 0*1
Ext_comp_6 ~ 0*1
# regression
p_i ~ g_i + a_i + pu_i
p_s ~ g_i + g_s + a_i + a_s + pu_i + pu_s + pu_q
p_q ~ g_i + g_s + a_i + a_s + pu_i + pu_s + pu_q
lavaan(Ext.pga_pu6.sex.model,
data = readRDS("pga6_all_data_sex.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = T,
std.lv = T
) %>%
saveRDS("pgcm_Ext_pga_pu6_sex_model.rds")result
readRDS("pgcm_Ext_pga_pu6_sex_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_Ext_pga_pu6_sex_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_Ext_pga_pu6_sex_model.rds"), "cor.lv"))$value [1] 5.938453725 4.801088378 3.808011623 2.459030441 2.225633441 0.968685305
[7] 0.931319825 0.613323981 0.573290207 0.229579268 0.217413136 0.198548263
[13] 0.188108644 0.160487970 0.154697871 0.133207643 0.095530934 0.082709241
[19] 0.074511618 0.060771645 0.041785198 0.024575528 0.016667977 0.002568137
readRDS("pgcm_Ext_pga_pu6_sex_result.rds")lavaan 0.6-19 ended normally after 313 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 444
Number of equality constraints 87
Number of observations 11867
Number of missing patterns 2195
Model Test User Model:
Test statistic 23163.459
Degrees of freedom 2415
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 425000.453
Degrees of freedom 2628
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.951
Tucker-Lewis Index (TLI) 0.947
Robust Comparative Fit Index (CFI) 0.947
Robust Tucker-Lewis Index (TLI) 0.943
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -715360.823
Loglikelihood unrestricted model (H1) -703779.094
Akaike (AIC) 1431435.647
Bayesian (BIC) 1434070.848
Sample-size adjusted Bayesian (SABIC) 1432936.343
Root Mean Square Error of Approximation:
RMSEA 0.027
90 Percent confidence interval - lower 0.027
90 Percent confidence interval - upper 0.027
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.032
90 Percent confidence interval - lower 0.031
90 Percent confidence interval - upper 0.032
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.052
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.840 0.831
asr___0 (l_AW) 0.894 0.007 126.190 0.000 0.751 0.733
asr___0 (l_AS) 0.796 0.007 111.253 0.000 0.669 0.667
asr___0 (l_AC) 0.933 0.007 124.630 0.000 0.784 0.752
asr___0 (l_AH) 0.908 0.007 130.175 0.000 0.763 0.765
asr___0 (l_AA) 0.787 0.008 98.168 0.000 0.662 0.634
asr___0 (l_AR) 0.930 0.007 124.758 0.000 0.781 0.763
asr___0 (l_AG) 0.490 0.008 59.696 0.000 0.412 0.399
a_eta2 =~
asr___2 1.000 0.827 0.815
asr___2 (l_AW) 0.894 0.007 126.190 0.000 0.740 0.729
asr___2 (l_AS) 0.796 0.007 111.253 0.000 0.659 0.658
asr___2 (l_AC) 0.933 0.007 124.630 0.000 0.771 0.769
asr___2 (l_AH) 0.908 0.007 130.175 0.000 0.751 0.770
asr___2 (l_AA) 0.787 0.008 98.168 0.000 0.651 0.645
asr___2 (l_AR) 0.930 0.007 124.758 0.000 0.769 0.762
asr___2 (l_AG) 0.490 0.008 59.696 0.000 0.406 0.409
a_eta4 =~
asr___4 1.000 0.797 0.799
asr___4 (l_AW) 0.894 0.007 126.190 0.000 0.712 0.724
asr___4 (l_AS) 0.796 0.007 111.253 0.000 0.635 0.646
asr___4 (l_AC) 0.933 0.007 124.630 0.000 0.743 0.768
asr___4 (l_AH) 0.908 0.007 130.175 0.000 0.724 0.743
asr___4 (l_AA) 0.787 0.008 98.168 0.000 0.627 0.645
asr___4 (l_AR) 0.930 0.007 124.758 0.000 0.741 0.758
asr___4 (l_AG) 0.490 0.008 59.696 0.000 0.391 0.399
a_i =~
a_etaB 1.000 0.918 0.918
a_eta2 1.000 0.932 0.932
a_eta4 1.000 0.968 0.968
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.294 0.294
a_eta4 2.000 0.610 0.610
g_etaB =~
flnkr_0 1.000 0.404 0.439
pttrn_0 (lm_R) 1.216 0.011 112.672 0.000 0.491 0.644
pictr_0 (lm_M) 0.600 0.009 64.833 0.000 0.242 0.287
pcvcb_0 (lm_P) 0.930 0.009 107.770 0.000 0.375 0.448
redng_0 (lm_V) 0.981 0.009 111.444 0.000 0.396 0.464
g_eta2 =~
flnkr_2 1.000 0.412 0.517
pttrn_2 (lm_R) 1.216 0.011 112.672 0.000 0.501 0.650
pictr_2 (lm_M) 0.600 0.009 64.833 0.000 0.247 0.278
pcvcb_2 (lm_P) 0.930 0.009 107.770 0.000 0.383 0.439
redng_2 (lm_V) 0.981 0.009 111.444 0.000 0.405 0.480
g_eta4 =~
flnkr_4 1.000 0.443 0.558
pttrn_4 (lm_R) 1.216 0.011 112.672 0.000 0.539 0.654
pictr_4 (lm_M) 0.600 0.009 64.833 0.000 0.266 0.251
pcvcb_4 (lm_P) 0.930 0.009 107.770 0.000 0.412 0.446
redng_4 (lm_V) 0.981 0.009 111.444 0.000 0.435 0.471
g_eta6 =~
flnkr_6 1.000 0.496 0.609
pttrn_6 (lm_R) 1.216 0.011 112.672 0.000 0.604 0.704
pictr_6 (lm_M) 0.600 0.009 64.833 0.000 0.298 0.281
pcvcb_6 (lm_P) 0.930 0.009 107.770 0.000 0.462 0.494
redng_6 (lm_V) 0.981 0.009 111.444 0.000 0.487 0.503
g_i =~
g_etaB 1.000 0.958 0.958
g_eta2 1.000 0.939 0.939
g_eta4 1.000 0.873 0.873
g_eta6 1.000 0.779 0.779
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.118 0.118
g_eta4 2.000 0.219 0.219
g_eta6 3.000 0.294 0.294
pu_etaB =~
p___001 1.000 0.441 0.396
p___002 (l_PR) 1.344 0.010 141.219 0.000 0.593 0.731
p___003 (l_PM) 1.253 0.009 136.286 0.000 0.553 0.694
pu_eta1 =~
p___001 1.000 0.483 0.471
p___002 (l_PR) 1.344 0.010 141.219 0.000 0.648 0.758
p___003 (l_PM) 1.253 0.009 136.286 0.000 0.605 0.685
pu_eta2 =~
p___001 1.000 0.497 0.535
p___002 (l_PR) 1.344 0.010 141.219 0.000 0.667 0.787
p___003 (l_PM) 1.253 0.009 136.286 0.000 0.622 0.691
pu_eta3 =~
p___001 1.000 0.495 0.586
p___002 (l_PR) 1.344 0.010 141.219 0.000 0.665 0.831
p___003 (l_PM) 1.253 0.009 136.286 0.000 0.620 0.712
pu_eta4 =~
p___001 1.000 0.464 0.615
p___002 (l_PR) 1.344 0.010 141.219 0.000 0.623 0.865
p___003 (l_PM) 1.253 0.009 136.286 0.000 0.581 0.725
pu_eta5 =~
p___001 1.000 0.402 0.576
p___002 (l_PR) 1.344 0.010 141.219 0.000 0.541 0.860
p___003 (l_PM) 1.253 0.009 136.286 0.000 0.504 0.699
pu_eta6 =~
p___001 1.000 0.349 0.519
p___002 (l_PR) 1.344 0.010 141.219 0.000 0.469 0.846
p___003 (l_PM) 1.253 0.009 136.286 0.000 0.438 0.660
pu_i =~
pu_etaB 1.000 0.974 0.974
pu_eta1 1.000 0.891 0.891
pu_eta2 1.000 0.865 0.865
pu_eta3 1.000 0.869 0.869
pu_eta4 1.000 0.927 0.927
pu_eta5 1.000 1.068 1.068
pu_eta6 1.000 1.231 1.231
pu_s =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.500 0.413 0.413
pu_eta2 1.000 0.803 0.803
pu_eta3 1.500 1.208 1.208
pu_eta4 2.000 1.719 1.719
pu_eta5 2.500 2.476 2.476
pu_eta6 3.000 3.424 3.424
pu_q =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.250 0.062 0.062
pu_eta2 1.000 0.240 0.240
pu_eta3 2.250 0.542 0.542
pu_eta4 4.000 1.028 1.028
pu_eta5 6.250 1.850 1.850
pu_eta6 9.000 3.070 3.070
p_i =~
Ext_c_0 1.000 0.936 0.899
Ext_c_1 1.000 0.936 0.913
Ext_c_2 1.000 0.936 0.923
Ext_c_3 1.000 0.936 0.927
Ext_c_4 1.000 0.936 0.944
Ext_c_5 1.000 0.936 0.938
Ext_c_6 1.000 0.936 0.980
p_s =~
Ext_c_0 0.000 0.000 0.000
Ext_c_1 0.500 0.283 0.276
Ext_c_2 1.000 0.566 0.558
Ext_c_3 1.500 0.849 0.841
Ext_c_4 2.000 1.132 1.141
Ext_c_5 2.500 1.415 1.417
Ext_c_6 3.000 1.698 1.777
p_q =~
Ext_c_0 0.000 0.000 0.000
Ext_c_1 0.250 0.041 0.040
Ext_c_2 1.000 0.165 0.162
Ext_c_3 2.250 0.370 0.367
Ext_c_4 4.000 0.658 0.663
Ext_c_5 6.250 1.028 1.030
Ext_c_6 9.000 1.481 1.550
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_i ~
dummy_sex 0.031 0.016 1.933 0.053 0.040 0.020
a_s ~
dummy_sex -0.014 0.007 -1.923 0.054 -0.057 -0.028
g_i ~
dummy_sex -0.040 0.009 -4.356 0.000 -0.104 -0.052
g_s ~
dummy_sex 0.004 0.003 1.222 0.222 0.087 0.043
pu_i ~
dummy_sex -0.273 0.010 -28.337 0.000 -0.636 -0.318
pu_s ~
dummy_sex -0.220 0.011 -19.402 0.000 -0.553 -0.276
pu_q ~
dummy_sex 0.062 0.004 16.904 0.000 0.518 0.259
p_i ~
dummy_sex 0.243 0.018 13.283 0.000 0.259 0.129
p_s ~
dummy_sex 0.018 0.026 0.696 0.487 0.032 0.016
p_q ~
dummy_sex -0.022 0.008 -2.724 0.006 -0.136 -0.068
p_i ~
g_i -0.338 0.027 -12.543 0.000 -0.140 -0.140
a_i 0.672 0.013 49.990 0.000 0.553 0.553
pu_i 0.098 0.025 3.938 0.000 0.045 0.045
p_s ~
g_i 0.160 0.058 2.749 0.006 0.109 0.109
g_s -2.525 0.977 -2.585 0.010 -0.217 -0.217
a_i 0.003 0.015 0.219 0.827 0.004 0.004
a_s 1.455 0.088 16.501 0.000 0.625 0.625
pu_i 0.041 0.051 0.810 0.418 0.031 0.031
pu_s 0.244 0.136 1.789 0.074 0.172 0.172
pu_q 0.582 0.473 1.230 0.219 0.122 0.122
p_q ~
g_i -0.039 0.017 -2.298 0.022 -0.091 -0.091
g_s 0.583 0.278 2.100 0.036 0.172 0.172
a_i -0.013 0.005 -2.781 0.005 -0.062 -0.062
a_s -0.354 0.026 -13.812 0.000 -0.523 -0.523
pu_i -0.016 0.017 -0.949 0.343 -0.042 -0.042
pu_s -0.047 0.046 -1.032 0.302 -0.115 -0.115
pu_q -0.072 0.158 -0.457 0.648 -0.052 -0.052
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.186 0.005 37.234 0.000 0.186 0.563
.asr_nxdp_cmp_4 0.170 0.005 33.023 0.000 0.170 0.504
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.207 0.006 37.621 0.000 0.207 0.588
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.227 0.006 36.998 0.000 0.227 0.471
.asr_wthdp_cm_4 0.206 0.006 33.037 0.000 0.206 0.436
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.225 0.006 35.398 0.000 0.225 0.477
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.282 0.007 41.276 0.000 0.282 0.501
.asr_soma_cmp_4 0.245 0.007 35.390 0.000 0.245 0.438
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.289 0.007 39.564 0.000 0.289 0.511
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.193 0.005 35.360 0.000 0.193 0.437
.asr_thprb_cm_4 0.160 0.005 29.276 0.000 0.160 0.376
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.168 0.005 31.753 0.000 0.168 0.422
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.258 0.005 48.716 0.000 0.258 0.646
.asr_ttprb_cm_4 0.252 0.006 45.103 0.000 0.252 0.603
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.272 0.006 47.772 0.000 0.272 0.670
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.298 0.007 40.846 0.000 0.298 0.478
.asr_rlbrk_cm_4 0.255 0.007 35.284 0.000 0.255 0.424
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.276 0.007 38.097 0.000 0.276 0.481
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.236 0.006 42.251 0.000 0.236 0.545
.asr_ggrss_cm_4 0.212 0.006 38.212 0.000 0.212 0.502
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.240 0.006 41.587 0.000 0.240 0.574
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.495 0.010 51.751 0.000 0.495 0.576
.asr_intr_cmp_4 0.464 0.010 47.813 0.000 0.464 0.545
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.473 0.010 49.497 0.000 0.473 0.582
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.021 0.005 4.189 0.000 0.021 0.054
.asr_soma_cmp_0 0.032 0.005 6.188 0.000 0.032 0.076
.asr_wthdp_cm_2 0.021 0.005 4.290 0.000 0.021 0.054
.asr_soma_cmp_2 0.038 0.005 7.288 0.000 0.038 0.089
.asr_wthdp_cm_4 0.019 0.005 3.787 0.000 0.019 0.050
.asr_soma_cmp_4 0.036 0.005 6.562 0.000 0.036 0.085
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 0.011 0.005 2.243 0.025 0.011 0.028
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.030 0.005 5.802 0.000 0.030 0.069
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.038 0.005 7.215 0.000 0.038 0.093
.asr_soma_cmp_2 0.052 0.006 9.363 0.000 0.052 0.117
.asr_wthdp_cm_4 0.025 0.005 4.793 0.000 0.025 0.063
.asr_soma_cmp_4 0.033 0.006 5.875 0.000 0.033 0.075
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 0.003 0.005 0.596 0.551 0.003 0.008
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.029 0.006 5.240 0.000 0.029 0.065
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.019 0.005 3.484 0.000 0.019 0.045
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.049 0.006 8.482 0.000 0.049 0.108
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.045 0.006 7.964 0.000 0.045 0.109
.asr_soma_cmp_4 0.065 0.006 10.785 0.000 0.065 0.144
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.029 0.006 -4.993 0.000 -0.029 -0.055
.asr_soma_cmp_2 -0.017 0.006 -2.839 0.005 -0.017 -0.032
.asr_soma_cmp_4 -0.032 0.006 -5.215 0.000 -0.032 -0.062
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.011 0.006 -1.930 0.054 -0.011 -0.022
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.012 0.006 -2.010 0.044 -0.012 -0.023
.asr_soma_cmp_4 -0.020 0.006 -3.187 0.001 -0.020 -0.038
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.014 0.006 -2.330 0.020 -0.014 -0.027
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.017 0.006 -2.776 0.005 -0.017 -0.033
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.018 0.006 -2.879 0.004 -0.018 -0.035
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.129 0.007 19.232 0.000 0.129 0.205
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.065 0.006 10.898 0.000 0.065 0.121
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.082 0.006 12.750 0.000 0.082 0.137
.asr_rlbrk_cm_2 0.017 0.006 3.034 0.002 0.017 0.034
.asr_intr_cmp_4 0.090 0.007 13.580 0.000 0.090 0.152
.asr_rlbrk_cm_4 0.025 0.006 4.317 0.000 0.025 0.050
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.091 0.007 13.723 0.000 0.091 0.146
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.043 0.006 7.385 0.000 0.043 0.082
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.133 0.007 20.296 0.000 0.133 0.225
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.037 0.006 6.440 0.000 0.037 0.073
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.104 0.007 15.516 0.000 0.104 0.177
.asr_rlbrk_cm_4 0.035 0.006 6.027 0.000 0.035 0.072
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.093 0.007 13.730 0.000 0.093 0.154
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.049 0.006 8.190 0.000 0.049 0.096
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.099 0.007 15.020 0.000 0.099 0.172
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.039 0.006 6.554 0.000 0.039 0.078
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.134 0.007 19.665 0.000 0.134 0.233
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.056 0.006 9.467 0.000 0.056 0.117
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.117 0.008 15.199 0.000 0.117 0.153
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.065 0.007 8.730 0.000 0.065 0.089
.asr_rlbrk_cm_4 0.070 0.008 9.204 0.000 0.070 0.099
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.070 0.008 9.264 0.000 0.070 0.095
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.109 0.007 14.825 0.000 0.109 0.155
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.068 0.007 9.237 0.000 0.068 0.101
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.083 0.008 10.693 0.000 0.083 0.115
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.075 0.008 9.910 0.000 0.075 0.109
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.107 0.008 14.226 0.000 0.107 0.160
.a_i ~~
.a_s -0.074 0.005 -15.841 0.000 -0.395 -0.395
.flanker_0 ~~
.flanker_2 0.138 0.007 18.781 0.000 0.138 0.244
.flanker_4 0.098 0.007 13.045 0.000 0.098 0.179
.flanker_6 0.087 0.009 9.327 0.000 0.087 0.162
.flanker_2 ~~
.flanker_4 0.144 0.007 19.808 0.000 0.144 0.320
.flanker_6 0.102 0.008 12.571 0.000 0.102 0.231
.flanker_4 ~~
.flanker_6 0.153 0.009 16.862 0.000 0.153 0.358
.pattern_0 ~~
.pattern_2 0.076 0.005 13.864 0.000 0.076 0.223
.pattern_4 0.041 0.006 6.989 0.000 0.041 0.114
.pattern_6 0.034 0.007 4.804 0.000 0.034 0.097
.pattern_2 ~~
.pattern_4 0.107 0.007 15.623 0.000 0.107 0.294
.pattern_6 0.076 0.008 10.083 0.000 0.076 0.214
.pattern_4 ~~
.pattern_6 0.129 0.009 14.429 0.000 0.129 0.340
.picture_0 ~~
.picture_2 0.252 0.007 33.855 0.000 0.252 0.364
.picture_4 0.257 0.009 28.085 0.000 0.257 0.310
.picture_6 0.281 0.012 23.533 0.000 0.281 0.343
.picture_2 ~~
.picture_4 0.285 0.010 28.068 0.000 0.285 0.325
.picture_6 0.266 0.013 19.858 0.000 0.266 0.306
.picture_4 ~~
.picture_6 0.390 0.016 24.730 0.000 0.390 0.374
.picvocab_0 ~~
.picvocab_2 0.398 0.007 53.218 0.000 0.398 0.677
.picvocab_4 0.401 0.008 50.646 0.000 0.401 0.647
.picvocab_6 0.380 0.009 43.203 0.000 0.380 0.625
.picvocab_2 ~~
.picvocab_4 0.472 0.009 54.010 0.000 0.472 0.727
.picvocab_6 0.459 0.010 47.388 0.000 0.459 0.720
.picvocab_4 ~~
.picvocab_6 0.507 0.010 48.360 0.000 0.507 0.756
.reading_0 ~~
.reading_2 0.404 0.007 54.985 0.000 0.404 0.722
.reading_4 0.408 0.008 50.798 0.000 0.408 0.661
.reading_6 0.417 0.010 43.555 0.000 0.417 0.657
.reading_2 ~~
.reading_4 0.416 0.008 51.290 0.000 0.416 0.692
.reading_6 0.433 0.010 45.266 0.000 0.433 0.698
.reading_4 ~~
.reading_6 0.456 0.011 42.920 0.000 0.456 0.669
.picvocab_0 ~~
.reading_0 0.233 0.006 35.922 0.000 0.233 0.411
.reading_2 0.246 0.007 37.641 0.000 0.246 0.445
.reading_4 0.264 0.007 36.180 0.000 0.264 0.434
.reading_6 0.283 0.009 32.088 0.000 0.283 0.451
.picvocab_2 ~~
.reading_2 0.288 0.007 40.414 0.000 0.288 0.497
.reading_0 ~~
.picvocab_2 0.267 0.007 38.307 0.000 0.267 0.450
.picvocab_2 ~~
.reading_4 0.313 0.008 39.479 0.000 0.313 0.490
.reading_6 0.338 0.010 35.407 0.000 0.338 0.515
.picvocab_4 ~~
.reading_4 0.337 0.009 38.874 0.000 0.337 0.500
.reading_0 ~~
.picvocab_4 0.275 0.007 36.722 0.000 0.275 0.440
.reading_2 ~~
.picvocab_4 0.300 0.008 39.323 0.000 0.300 0.490
.picvocab_4 ~~
.reading_6 0.367 0.010 35.609 0.000 0.367 0.529
.picvocab_6 ~~
.reading_6 0.360 0.011 32.216 0.000 0.360 0.530
.reading_0 ~~
.picvocab_6 0.256 0.009 29.845 0.000 0.256 0.417
.reading_2 ~~
.picvocab_6 0.284 0.009 32.983 0.000 0.284 0.473
.reading_4 ~~
.picvocab_6 0.322 0.010 33.321 0.000 0.322 0.488
.g_i ~~
.g_s 0.005 0.001 4.203 0.000 0.267 0.267
.ph_p_pds_001_0 ~~
.ph_p_pds_001_1 0.425 0.011 40.345 0.000 0.425 0.459
.ph_p_pds_001_2 0.252 0.009 28.505 0.000 0.252 0.314
.ph_p_pds_001_3 0.135 0.008 17.340 0.000 0.135 0.193
.ph_p_pds_001_4 0.051 0.007 7.317 0.000 0.051 0.084
.ph_p_pds_001_5 0.026 0.007 3.715 0.000 0.026 0.044
.ph_p_pds_001_6 0.021 0.009 2.321 0.020 0.021 0.035
.ph_p_pds_001_1 ~~
.ph_p_pds_001_2 0.297 0.008 36.411 0.000 0.297 0.418
.ph_p_pds_001_3 0.168 0.007 23.663 0.000 0.168 0.271
.ph_p_pds_001_4 0.070 0.006 11.222 0.000 0.070 0.130
.ph_p_pds_001_5 0.033 0.006 5.407 0.000 0.033 0.064
.ph_p_pds_001_6 0.017 0.008 2.175 0.030 0.017 0.033
.ph_p_pds_001_2 ~~
.ph_p_pds_001_3 0.216 0.006 33.330 0.000 0.216 0.402
.ph_p_pds_001_4 0.093 0.005 16.968 0.000 0.093 0.200
.ph_p_pds_001_5 0.039 0.005 7.382 0.000 0.039 0.088
.ph_p_pds_001_6 0.025 0.007 3.693 0.000 0.025 0.056
.ph_p_pds_001_3 ~~
.ph_p_pds_001_4 0.121 0.005 24.132 0.000 0.121 0.299
.ph_p_pds_001_5 0.061 0.005 12.659 0.000 0.061 0.155
.ph_p_pds_001_6 0.033 0.006 5.543 0.000 0.033 0.084
.ph_p_pds_001_4 ~~
.ph_p_pds_001_5 0.132 0.004 29.509 0.000 0.132 0.388
.ph_p_pds_001_6 0.079 0.006 14.244 0.000 0.079 0.232
.ph_p_pds_001_5 ~~
.ph_p_pds_001_6 0.135 0.005 24.630 0.000 0.135 0.413
.ph_p_pds_002_0 ~~
.ph_p_pds_002_1 0.110 0.005 20.595 0.000 0.110 0.357
.ph_p_pds_002_2 0.047 0.005 9.805 0.000 0.047 0.162
.ph_p_pds_002_3 0.016 0.004 3.686 0.000 0.016 0.065
.ph_p_pds_002_4 0.001 0.004 0.391 0.696 0.001 0.007
.ph_p_pds_002_5 -0.005 0.003 -1.460 0.144 -0.005 -0.029
.ph_p_pds_002_6 -0.006 0.004 -1.331 0.183 -0.006 -0.035
.ph_p_pds_002_1 ~~
.ph_p_pds_002_2 0.109 0.005 21.188 0.000 0.109 0.373
.ph_p_pds_002_3 0.043 0.004 9.505 0.000 0.043 0.172
.ph_p_pds_002_4 -0.000 0.004 -0.075 0.940 -0.000 -0.001
.ph_p_pds_002_5 -0.005 0.004 -1.343 0.179 -0.005 -0.026
.ph_p_pds_002_6 0.014 0.004 3.166 0.002 0.014 0.084
.ph_p_pds_002_2 ~~
.ph_p_pds_002_3 0.083 0.005 18.279 0.000 0.083 0.357
.ph_p_pds_002_4 0.014 0.004 3.597 0.000 0.014 0.073
.ph_p_pds_002_5 -0.005 0.003 -1.497 0.134 -0.005 -0.031
.ph_p_pds_002_6 0.016 0.004 4.009 0.000 0.016 0.106
.ph_p_pds_002_3 ~~
.ph_p_pds_002_4 0.031 0.004 8.577 0.000 0.031 0.191
.ph_p_pds_002_5 0.005 0.003 1.682 0.093 0.005 0.037
.ph_p_pds_002_6 0.018 0.004 4.802 0.000 0.018 0.133
.ph_p_pds_002_4 ~~
.ph_p_pds_002_5 0.024 0.003 8.261 0.000 0.024 0.206
.ph_p_pds_002_6 0.010 0.003 2.920 0.004 0.010 0.091
.ph_p_pds_002_5 ~~
.ph_p_pds_002_6 0.014 0.003 4.575 0.000 0.014 0.153
.ph_p_pds_003_0 ~~
.ph_p_pds_003_1 0.141 0.005 26.228 0.000 0.141 0.382
.ph_p_pds_003_2 0.090 0.005 17.804 0.000 0.090 0.241
.ph_p_pds_003_3 0.054 0.005 11.361 0.000 0.054 0.153
.ph_p_pds_003_4 0.025 0.004 5.710 0.000 0.025 0.080
.ph_p_pds_003_5 0.027 0.004 6.308 0.000 0.027 0.090
.ph_p_pds_003_6 0.014 0.005 2.673 0.008 0.014 0.048
.ph_p_pds_003_1 ~~
.ph_p_pds_003_2 0.174 0.006 30.443 0.000 0.174 0.415
.ph_p_pds_003_3 0.097 0.005 18.591 0.000 0.097 0.248
.ph_p_pds_003_4 0.036 0.005 7.460 0.000 0.036 0.101
.ph_p_pds_003_5 0.021 0.005 4.565 0.000 0.021 0.063
.ph_p_pds_003_6 0.014 0.006 2.507 0.012 0.014 0.044
.ph_p_pds_003_2 ~~
.ph_p_pds_003_3 0.169 0.005 30.991 0.000 0.169 0.427
.ph_p_pds_003_4 0.079 0.005 16.006 0.000 0.079 0.219
.ph_p_pds_003_5 0.049 0.005 10.608 0.000 0.049 0.147
.ph_p_pds_003_6 0.027 0.006 4.844 0.000 0.027 0.084
.ph_p_pds_003_3 ~~
.ph_p_pds_003_4 0.121 0.005 25.272 0.000 0.121 0.359
.ph_p_pds_003_5 0.070 0.004 15.835 0.000 0.070 0.223
.ph_p_pds_003_6 0.052 0.005 9.798 0.000 0.052 0.171
.ph_p_pds_003_4 ~~
.ph_p_pds_003_5 0.104 0.004 24.181 0.000 0.104 0.364
.ph_p_pds_003_6 0.080 0.005 15.939 0.000 0.080 0.292
.ph_p_pds_003_5 ~~
.ph_p_pds_003_6 0.090 0.005 18.946 0.000 0.090 0.350
.pu_i ~~
.pu_s -0.047 0.004 -10.456 0.000 -0.301 -0.301
.pu_q -0.002 0.001 -1.360 0.174 -0.037 -0.037
.pu_s ~~
.pu_q -0.040 0.002 -20.768 0.000 -0.912 -0.912
.p_i ~~
.p_s -0.095 0.011 -9.050 0.000 -0.296 -0.296
.p_q 0.007 0.003 2.179 0.029 0.066 0.066
.p_s ~~
.p_q -0.050 0.005 -9.824 0.000 -0.848 -0.848
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) -0.000 0.004 -0.106 0.915 -0.000 -0.000
.asr___0 (t_AW) 0.007 0.005 1.377 0.168 0.007 0.007
.asr___0 (t_AS) 0.002 0.005 0.398 0.691 0.002 0.002
.asr___0 (t_AP) 0.005 0.005 1.091 0.275 0.005 0.005
.asr___0 (t_AH) 0.004 0.005 0.890 0.373 0.004 0.004
.asr___0 (t_AA) 0.010 0.005 1.897 0.058 0.010 0.010
.asr___0 (t_AR) 0.006 0.005 1.246 0.213 0.006 0.006
.asr___0 (t_AG) 0.002 0.007 0.282 0.778 0.002 0.002
.asr___2 (t_AX) -0.000 0.004 -0.106 0.915 -0.000 -0.000
.asr___2 (t_AW) 0.007 0.005 1.377 0.168 0.007 0.007
.asr___2 (t_AS) 0.002 0.005 0.398 0.691 0.002 0.002
.asr___2 (t_AP) 0.005 0.005 1.091 0.275 0.005 0.005
.asr___2 (t_AH) 0.004 0.005 0.890 0.373 0.004 0.005
.asr___2 (t_AA) 0.010 0.005 1.897 0.058 0.010 0.010
.asr___2 (t_AR) 0.006 0.005 1.246 0.213 0.006 0.006
.asr___2 (t_AG) 0.002 0.007 0.282 0.778 0.002 0.002
.asr___4 (t_AX) -0.000 0.004 -0.106 0.915 -0.000 -0.000
.asr___4 (t_AW) 0.007 0.005 1.377 0.168 0.007 0.007
.asr___4 (t_AS) 0.002 0.005 0.398 0.691 0.002 0.002
.asr___4 (t_AP) 0.005 0.005 1.091 0.275 0.005 0.005
.asr___4 (t_AH) 0.004 0.005 0.890 0.373 0.004 0.005
.asr___4 (t_AA) 0.010 0.005 1.897 0.058 0.010 0.011
.asr___4 (t_AR) 0.006 0.005 1.246 0.213 0.006 0.006
.asr___4 (t_AG) 0.002 0.007 0.282 0.778 0.002 0.002
.a_i 0.004 0.011 0.375 0.708 0.005 0.005
.a_s -0.016 0.005 -3.092 0.002 -0.067 -0.067
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.flnkr_0 (ta_S) 0.091 0.006 14.089 0.000 0.091 0.098
.flnkr_2 (ta_S) 0.091 0.006 14.089 0.000 0.091 0.114
.flnkr_4 (ta_S) 0.091 0.006 14.089 0.000 0.091 0.114
.flnkr_6 (ta_S) 0.091 0.006 14.089 0.000 0.091 0.111
.pttrn_0 (ta_R) 0.104 0.007 15.276 0.000 0.104 0.137
.pttrn_2 (ta_R) 0.104 0.007 15.276 0.000 0.104 0.135
.pttrn_4 (ta_R) 0.104 0.007 15.276 0.000 0.104 0.127
.pttrn_6 (ta_R) 0.104 0.007 15.276 0.000 0.104 0.122
.pictr_0 (ta_M) 0.047 0.007 6.901 0.000 0.047 0.056
.pictr_2 (ta_M) 0.047 0.007 6.901 0.000 0.047 0.053
.pictr_4 (ta_M) 0.047 0.007 6.901 0.000 0.047 0.045
.pictr_6 (ta_M) 0.047 0.007 6.901 0.000 0.047 0.045
.pcvcb_0 (ta_P) 0.040 0.006 6.130 0.000 0.040 0.047
.pcvcb_2 (ta_P) 0.040 0.006 6.130 0.000 0.040 0.045
.pcvcb_4 (ta_P) 0.040 0.006 6.130 0.000 0.040 0.043
.pcvcb_6 (ta_P) 0.040 0.006 6.130 0.000 0.040 0.043
.redng_0 (ta_V) 0.050 0.006 7.646 0.000 0.050 0.058
.redng_2 (ta_V) 0.050 0.006 7.646 0.000 0.050 0.059
.redng_4 (ta_V) 0.050 0.006 7.646 0.000 0.050 0.054
.redng_6 (ta_V) 0.050 0.006 7.646 0.000 0.050 0.051
.g_i -0.623 0.009 -69.054 0.000 -1.609 -1.609
.g_s 0.470 0.004 115.420 0.000 9.668 9.668
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
.p___001 (t_PS) 0.051 0.004 13.966 0.000 0.051 0.046
.p___001 (t_PS) 0.051 0.004 13.966 0.000 0.051 0.050
.p___001 (t_PS) 0.051 0.004 13.966 0.000 0.051 0.055
.p___001 (t_PS) 0.051 0.004 13.966 0.000 0.051 0.061
.p___001 (t_PS) 0.051 0.004 13.966 0.000 0.051 0.068
.p___001 (t_PS) 0.051 0.004 13.966 0.000 0.051 0.073
.p___001 (t_PS) 0.051 0.004 13.966 0.000 0.051 0.076
.p___002 (t_PR) 0.106 0.002 43.605 0.000 0.106 0.131
.p___002 (t_PR) 0.106 0.002 43.605 0.000 0.106 0.124
.p___002 (t_PR) 0.106 0.002 43.605 0.000 0.106 0.126
.p___002 (t_PR) 0.106 0.002 43.605 0.000 0.106 0.133
.p___002 (t_PR) 0.106 0.002 43.605 0.000 0.106 0.148
.p___002 (t_PR) 0.106 0.002 43.605 0.000 0.106 0.169
.p___002 (t_PR) 0.106 0.002 43.605 0.000 0.106 0.192
.p___003 (t_PM) 0.097 0.003 35.389 0.000 0.097 0.121
.p___003 (t_PM) 0.097 0.003 35.389 0.000 0.097 0.110
.p___003 (t_PM) 0.097 0.003 35.389 0.000 0.097 0.107
.p___003 (t_PM) 0.097 0.003 35.389 0.000 0.097 0.111
.p___003 (t_PM) 0.097 0.003 35.389 0.000 0.097 0.121
.p___003 (t_PM) 0.097 0.003 35.389 0.000 0.097 0.134
.p___003 (t_PM) 0.097 0.003 35.389 0.000 0.097 0.146
.pu_i -0.587 0.008 -76.941 0.000 -1.365 -1.365
.pu_s 0.713 0.009 78.094 0.000 1.789 1.789
.pu_q -0.076 0.003 -28.550 0.000 -0.640 -0.640
.pu_etaB 0.000 0.000 0.000
.pu_eta1 0.000 0.000 0.000
.pu_eta2 0.000 0.000 0.000
.pu_eta3 0.000 0.000 0.000
.pu_eta4 0.000 0.000 0.000
.pu_eta5 0.000 0.000 0.000
.pu_eta6 0.000 0.000 0.000
.p_i -0.197 0.025 -7.774 0.000 -0.211 -0.211
.p_s 1.173 0.490 2.397 0.017 2.074 2.074
.p_q -0.284 0.139 -2.043 0.041 -1.728 -1.728
.Ext_c_0 0.000 0.000 0.000
.Ext_c_1 0.000 0.000 0.000
.Ext_c_2 0.000 0.000 0.000
.Ext_c_3 0.000 0.000 0.000
.Ext_c_4 0.000 0.000 0.000
.Ext_c_5 0.000 0.000 0.000
.Ext_c_6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.112 0.007 16.240 0.000 0.158 0.158
.a_eta2 0.179 0.005 37.506 0.000 0.261 0.261
.a_eta4 0.100 0.008 13.249 0.000 0.158 0.158
.asr_nxdp_cmp_0 0.316 0.006 53.161 0.000 0.316 0.309
.asr_wthdp_cm_0 0.486 0.008 62.784 0.000 0.486 0.463
.asr_soma_cmp_0 0.558 0.008 66.519 0.000 0.558 0.555
.asr_thprb_cm_0 0.472 0.007 65.037 0.000 0.472 0.435
.asr_ttprb_cm_0 0.412 0.006 64.328 0.000 0.412 0.414
.asr_rlbrk_cm_0 0.652 0.009 69.321 0.000 0.652 0.598
.asr_ggrss_cm_0 0.439 0.007 63.472 0.000 0.439 0.418
.asr_intr_cmp_0 0.898 0.012 74.818 0.000 0.898 0.841
.asr_nxdp_cmp_2 0.346 0.006 53.492 0.000 0.346 0.336
.asr_wthdp_cm_2 0.481 0.008 60.946 0.000 0.481 0.468
.asr_soma_cmp_2 0.567 0.009 64.684 0.000 0.567 0.567
.asr_thprb_cm_2 0.412 0.007 61.575 0.000 0.412 0.409
.asr_ttprb_cm_2 0.387 0.006 61.204 0.000 0.387 0.407
.asr_rlbrk_cm_2 0.596 0.009 66.275 0.000 0.596 0.584
.asr_ggrss_cm_2 0.427 0.007 61.389 0.000 0.427 0.419
.asr_intr_cmp_2 0.821 0.011 71.971 0.000 0.821 0.833
.asr_nxdp_cmp_4 0.360 0.007 50.874 0.000 0.360 0.362
.asr_wthdp_cm_4 0.462 0.008 57.092 0.000 0.462 0.476
.asr_soma_cmp_4 0.561 0.009 60.456 0.000 0.561 0.582
.asr_thprb_cm_4 0.384 0.007 56.996 0.000 0.384 0.410
.asr_ttprb_cm_4 0.425 0.007 58.502 0.000 0.425 0.448
.asr_rlbrk_cm_4 0.554 0.009 61.493 0.000 0.554 0.584
.asr_ggrss_cm_4 0.407 0.007 57.279 0.000 0.407 0.426
.asr_intr_cmp_4 0.805 0.012 67.679 0.000 0.805 0.841
.a_i 0.594 0.013 47.494 0.000 1.000 1.000
.a_s 0.059 0.003 17.068 0.000 0.999 0.999
.g_etaB 0.013 0.002 5.880 0.000 0.081 0.081
.g_eta2 0.008 0.002 5.055 0.000 0.047 0.047
.g_eta4 0.017 0.002 8.242 0.000 0.088 0.088
.g_eta6 0.046 0.004 11.552 0.000 0.186 0.186
.flanker_0 0.684 0.010 68.027 0.000 0.684 0.808
.flanker_2 0.466 0.009 54.401 0.000 0.466 0.733
.flanker_4 0.434 0.009 49.429 0.000 0.434 0.689
.flanker_6 0.417 0.011 38.678 0.000 0.417 0.629
.pattern_0 0.340 0.006 52.673 0.000 0.340 0.585
.pattern_2 0.343 0.008 45.371 0.000 0.343 0.577
.pattern_4 0.389 0.009 42.999 0.000 0.389 0.573
.pattern_6 0.370 0.011 33.110 0.000 0.370 0.504
.picture_0 0.652 0.009 73.349 0.000 0.652 0.917
.picture_2 0.732 0.011 69.141 0.000 0.732 0.923
.picture_4 1.054 0.016 66.181 0.000 1.054 0.937
.picture_6 1.034 0.022 47.825 0.000 1.034 0.921
.picvocab_0 0.560 0.008 68.949 0.000 0.560 0.799
.picvocab_2 0.616 0.009 66.195 0.000 0.616 0.807
.picvocab_4 0.684 0.011 63.040 0.000 0.684 0.801
.picvocab_6 0.659 0.013 49.232 0.000 0.659 0.755
.reading_0 0.573 0.008 68.310 0.000 0.573 0.785
.reading_2 0.547 0.008 64.903 0.000 0.547 0.770
.reading_4 0.662 0.011 62.038 0.000 0.662 0.778
.reading_6 0.702 0.015 47.887 0.000 0.702 0.747
.g_i 0.149 0.004 35.794 0.000 0.997 0.997
.g_s 0.002 0.001 3.703 0.000 0.998 0.998
.pu_etaB 0.010 0.003 3.100 0.002 0.051 0.051
.pu_eta1 0.053 0.002 23.494 0.000 0.229 0.229
.pu_eta2 0.052 0.002 24.064 0.000 0.211 0.211
.pu_eta3 0.048 0.002 23.745 0.000 0.195 0.195
.pu_eta4 0.041 0.002 23.047 0.000 0.190 0.190
.pu_eta5 0.027 0.002 17.715 0.000 0.165 0.165
.pu_eta6 0.011 0.003 4.442 0.000 0.093 0.093
.ph_p_pds_001_0 1.049 0.015 70.011 0.000 1.049 0.843
.ph_p_pds_002_0 0.307 0.006 47.201 0.000 0.307 0.466
.ph_p_pds_003_0 0.329 0.006 52.817 0.000 0.329 0.518
.ph_p_pds_001_1 0.818 0.012 68.713 0.000 0.818 0.779
.ph_p_pds_002_1 0.311 0.007 43.935 0.000 0.311 0.425
.ph_p_pds_003_1 0.414 0.007 55.290 0.000 0.414 0.531
.ph_p_pds_001_2 0.616 0.009 66.090 0.000 0.616 0.714
.ph_p_pds_002_2 0.274 0.007 41.939 0.000 0.274 0.381
.ph_p_pds_003_2 0.423 0.007 57.208 0.000 0.423 0.522
.ph_p_pds_001_3 0.468 0.007 62.966 0.000 0.468 0.656
.ph_p_pds_002_3 0.198 0.005 36.680 0.000 0.198 0.309
.ph_p_pds_003_3 0.373 0.007 56.130 0.000 0.373 0.492
.ph_p_pds_001_4 0.353 0.006 60.971 0.000 0.353 0.622
.ph_p_pds_002_4 0.131 0.004 31.688 0.000 0.131 0.252
.ph_p_pds_003_4 0.305 0.006 53.532 0.000 0.305 0.475
.ph_p_pds_001_5 0.326 0.006 58.984 0.000 0.326 0.668
.ph_p_pds_002_5 0.103 0.003 29.999 0.000 0.103 0.261
.ph_p_pds_003_5 0.266 0.005 52.866 0.000 0.266 0.512
.ph_p_pds_001_6 0.331 0.007 44.745 0.000 0.331 0.730
.ph_p_pds_002_6 0.087 0.004 21.969 0.000 0.087 0.284
.ph_p_pds_003_6 0.249 0.006 41.017 0.000 0.249 0.565
.pu_i 0.166 0.005 35.485 0.000 0.899 0.899
.pu_s 0.147 0.007 22.523 0.000 0.924 0.924
.pu_q 0.013 0.001 21.359 0.000 0.933 0.933
.p_i 0.574 0.012 48.511 0.000 0.655 0.655
.p_s 0.180 0.017 10.389 0.000 0.561 0.561
.p_q 0.019 0.002 12.062 0.000 0.715 0.715
.Ext_comp_0 0.208 0.007 28.785 0.000 0.208 0.192
.Ext_comp_1 0.277 0.005 57.130 0.000 0.277 0.263
.Ext_comp_2 0.277 0.005 57.106 0.000 0.277 0.269
.Ext_comp_3 0.273 0.005 54.002 0.000 0.273 0.268
.Ext_comp_4 0.249 0.005 52.090 0.000 0.249 0.253
.Ext_comp_5 0.260 0.006 47.033 0.000 0.260 0.260
.Ext_comp_6 0.101 0.008 12.288 0.000 0.101 0.111
R-Square:
Estimate
a_etaB 0.842
a_eta2 0.739
a_eta4 0.842
asr_nxdp_cmp_0 0.691
asr_wthdp_cm_0 0.537
asr_soma_cmp_0 0.445
asr_thprb_cm_0 0.565
asr_ttprb_cm_0 0.586
asr_rlbrk_cm_0 0.402
asr_ggrss_cm_0 0.582
asr_intr_cmp_0 0.159
asr_nxdp_cmp_2 0.664
asr_wthdp_cm_2 0.532
asr_soma_cmp_2 0.433
asr_thprb_cm_2 0.591
asr_ttprb_cm_2 0.593
asr_rlbrk_cm_2 0.416
asr_ggrss_cm_2 0.581
asr_intr_cmp_2 0.167
asr_nxdp_cmp_4 0.638
asr_wthdp_cm_4 0.524
asr_soma_cmp_4 0.418
asr_thprb_cm_4 0.590
asr_ttprb_cm_4 0.552
asr_rlbrk_cm_4 0.416
asr_ggrss_cm_4 0.574
asr_intr_cmp_4 0.159
a_i 0.000
a_s 0.001
g_etaB 0.919
g_eta2 0.953
g_eta4 0.912
g_eta6 0.814
flanker_0 0.192
flanker_2 0.267
flanker_4 0.311
flanker_6 0.371
pattern_0 0.415
pattern_2 0.423
pattern_4 0.427
pattern_6 0.496
picture_0 0.083
picture_2 0.077
picture_4 0.063
picture_6 0.079
picvocab_0 0.201
picvocab_2 0.193
picvocab_4 0.199
picvocab_6 0.245
reading_0 0.215
reading_2 0.230
reading_4 0.222
reading_6 0.253
g_i 0.003
g_s 0.002
pu_etaB 0.949
pu_eta1 0.771
pu_eta2 0.789
pu_eta3 0.805
pu_eta4 0.810
pu_eta5 0.835
pu_eta6 0.907
ph_p_pds_001_0 0.157
ph_p_pds_002_0 0.534
ph_p_pds_003_0 0.482
ph_p_pds_001_1 0.221
ph_p_pds_002_1 0.575
ph_p_pds_003_1 0.469
ph_p_pds_001_2 0.286
ph_p_pds_002_2 0.619
ph_p_pds_003_2 0.478
ph_p_pds_001_3 0.344
ph_p_pds_002_3 0.691
ph_p_pds_003_3 0.508
ph_p_pds_001_4 0.378
ph_p_pds_002_4 0.748
ph_p_pds_003_4 0.525
ph_p_pds_001_5 0.332
ph_p_pds_002_5 0.739
ph_p_pds_003_5 0.488
ph_p_pds_001_6 0.270
ph_p_pds_002_6 0.716
ph_p_pds_003_6 0.435
pu_i 0.101
pu_s 0.076
pu_q 0.067
p_i 0.345
p_s 0.439
p_q 0.285
Ext_comp_0 0.808
Ext_comp_1 0.737
Ext_comp_2 0.731
Ext_comp_3 0.732
Ext_comp_4 0.747
Ext_comp_5 0.740
Ext_comp_6 0.889
Internalizing symptoms
Int ~ pp + g + pu model
Children’s Internalizing symptoms (Int) was regressed on parental psychopathology (pp), children’s cognitive functioning (g) and children’s puberty (pu).
model fit
Int.pga_pu6.model <- "# second-order pp factor
#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#observed variable intercepts
asr_anxdep_comp_0~tau_AX*1
asr_withdep_comp_0~tau_AW*1
asr_soma_comp_0~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_attprob_comp_0~tau_AH*1
asr_rulebreak_comp_0~tau_AA*1
asr_aggress_comp_0~tau_AR*1
asr_intru_comp_0~tau_AG*1
asr_anxdep_comp_2~tau_AX*1
asr_withdep_comp_2~tau_AW*1
asr_soma_comp_2~tau_AS*1
asr_thouprob_comp_2~tau_AP*1
asr_attprob_comp_2~tau_AH*1
asr_rulebreak_comp_2~tau_AA*1
asr_aggress_comp_2~tau_AR*1
asr_intru_comp_2~tau_AG*1
asr_anxdep_comp_4~tau_AX*1
asr_withdep_comp_4~tau_AW*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_4~tau_AP*1
asr_attprob_comp_4~tau_AH*1
asr_rulebreak_comp_4~tau_AA*1
asr_aggress_comp_4~tau_AR*1
asr_intru_comp_4~tau_AG*1
#latent basis model
a_i =~ 1*a_etaB+1*a_eta2+1*a_eta4
a_s =~ 0*a_etaB+1*a_eta2+2*a_eta4
a_i~~NA*a_i
a_s~~NA*a_s
a_i~~a_s
a_i~1
a_s~1
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
# second-order g factor
#factor loadings # S & S2
g_etaB =~ 1*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ 1*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ 1*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ 1*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances
g_etaB~~NA*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1
#latent basis model
g_i =~ 1*g_etaB + 1*g_eta2 + 1*g_eta4 + 1*g_eta6
g_s =~ 0*g_etaB + 1*g_eta2 + 2*g_eta4 + 3*g_eta6
g_i~~NA*g_i
g_s~~NA*g_s
g_i~~g_s
g_i~1
g_s~1
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
# second-order puberty factor
#factor loadings
pu_etaB =~ 1*ph_p_pds_001_0 +
lambda_PR*ph_p_pds_002_0 +
lambda_PM*ph_p_pds_003_0
pu_eta1 =~ 1*ph_p_pds_001_1 +
lambda_PR*ph_p_pds_002_1 +
lambda_PM*ph_p_pds_003_1
pu_eta2 =~ 1*ph_p_pds_001_2 +
lambda_PR*ph_p_pds_002_2 +
lambda_PM*ph_p_pds_003_2
pu_eta3 =~ 1*ph_p_pds_001_3 +
lambda_PR*ph_p_pds_002_3 +
lambda_PM*ph_p_pds_003_3
pu_eta4 =~ 1*ph_p_pds_001_4 +
lambda_PR*ph_p_pds_002_4 +
lambda_PM*ph_p_pds_003_4
pu_eta5 =~ 1*ph_p_pds_001_5 +
lambda_PR*ph_p_pds_002_5 +
lambda_PM*ph_p_pds_003_5
pu_eta6 =~ 1*ph_p_pds_001_6 +
lambda_PR*ph_p_pds_002_6 +
lambda_PM*ph_p_pds_003_6
#latent variable variances
pu_etaB~~NA*pu_etaB
pu_eta1~~NA*pu_eta1
pu_eta2~~NA*pu_eta2
pu_eta3~~NA*pu_eta3
pu_eta4~~NA*pu_eta4
pu_eta5~~NA*pu_eta5
pu_eta6~~NA*pu_eta6
#unique variances
ph_p_pds_001_0 ~~ ph_p_pds_001_0
ph_p_pds_002_0 ~~ ph_p_pds_002_0
ph_p_pds_003_0 ~~ ph_p_pds_003_0
ph_p_pds_001_1 ~~ ph_p_pds_001_1
ph_p_pds_002_1 ~~ ph_p_pds_002_1
ph_p_pds_003_1 ~~ ph_p_pds_003_1
ph_p_pds_001_2 ~~ ph_p_pds_001_2
ph_p_pds_002_2 ~~ ph_p_pds_002_2
ph_p_pds_003_2 ~~ ph_p_pds_003_2
ph_p_pds_001_3 ~~ ph_p_pds_001_3
ph_p_pds_002_3 ~~ ph_p_pds_002_3
ph_p_pds_003_3 ~~ ph_p_pds_003_3
ph_p_pds_001_4 ~~ ph_p_pds_001_4
ph_p_pds_002_4 ~~ ph_p_pds_002_4
ph_p_pds_003_4 ~~ ph_p_pds_003_4
ph_p_pds_001_5 ~~ ph_p_pds_001_5
ph_p_pds_002_5 ~~ ph_p_pds_002_5
ph_p_pds_003_5 ~~ ph_p_pds_003_5
ph_p_pds_001_6 ~~ ph_p_pds_001_6
ph_p_pds_002_6 ~~ ph_p_pds_002_6
ph_p_pds_003_6 ~~ ph_p_pds_003_6
#unique covariances
ph_p_pds_001_0 ~~ ph_p_pds_001_1 + ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_1 ~~ ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_2 ~~ ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_3 ~~ ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_4 ~~ ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_5 ~~ ph_p_pds_001_6
ph_p_pds_002_0 ~~ ph_p_pds_002_1 + ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_1 ~~ ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_2 ~~ ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_3 ~~ ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_4 ~~ ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_5 ~~ ph_p_pds_002_6
ph_p_pds_003_0 ~~ ph_p_pds_003_1 + ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_1 ~~ ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_2 ~~ ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_3 ~~ ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_4 ~~ ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_5 ~~ ph_p_pds_003_6
#observed variable intercepts
ph_p_pds_001_0 ~ tau_PS*1
ph_p_pds_001_1 ~ tau_PS*1
ph_p_pds_001_2 ~ tau_PS*1
ph_p_pds_001_3 ~ tau_PS*1
ph_p_pds_001_4 ~ tau_PS*1
ph_p_pds_001_5 ~ tau_PS*1
ph_p_pds_001_6 ~ tau_PS*1
ph_p_pds_002_0 ~ tau_PR*1
ph_p_pds_002_1 ~ tau_PR*1
ph_p_pds_002_2 ~ tau_PR*1
ph_p_pds_002_3 ~ tau_PR*1
ph_p_pds_002_4 ~ tau_PR*1
ph_p_pds_002_5 ~ tau_PR*1
ph_p_pds_002_6 ~ tau_PR*1
ph_p_pds_003_0 ~ tau_PM*1
ph_p_pds_003_1 ~ tau_PM*1
ph_p_pds_003_2 ~ tau_PM*1
ph_p_pds_003_3 ~ tau_PM*1
ph_p_pds_003_4 ~ tau_PM*1
ph_p_pds_003_5 ~ tau_PM*1
ph_p_pds_003_6 ~ tau_PM*1
#latent basis model
pu_i =~ 1*pu_etaB + 1*pu_eta1 + 1*pu_eta2 + 1*pu_eta3 + 1*pu_eta4 + 1*pu_eta5 + 1*pu_eta6
pu_s =~ 0*pu_etaB + 0.5*pu_eta1 + 1*pu_eta2 + 1.5*pu_eta3 + 2*pu_eta4 + 2.5*pu_eta5 + 3*pu_eta6
pu_q =~ 0*pu_etaB + 0.25*pu_eta1 + 1*pu_eta2 + 2.25*pu_eta3 + 4*pu_eta4 + 6.25*pu_eta5 + 9*pu_eta6
pu_i~~NA*pu_i
pu_s~~NA*pu_s
pu_q~~NA*pu_q
pu_i~~pu_s + pu_q
pu_s~~pu_q
pu_i~1
pu_s~1
pu_q~1
pu_etaB~0*1
pu_eta1~0*1
pu_eta2~0*1
pu_eta3~0*1
pu_eta4~0*1
pu_eta5~0*1
pu_eta6~0*1
# Internalizing model
p_i =~ 1*Int_comp_0 + 1*Int_comp_1 + 1*Int_comp_2 + 1*Int_comp_3 + 1*Int_comp_4 + 1*Int_comp_5 + 1*Int_comp_6
p_s =~ 0*Int_comp_0 + .5*Int_comp_1 + 1*Int_comp_2 + 1.5*Int_comp_3 + 2*Int_comp_4 + 2.5*Int_comp_5 + 3*Int_comp_6
p_q =~ 0*Int_comp_0 + .25*Int_comp_1 + 1*Int_comp_2 + 2.25*Int_comp_3 + 4*Int_comp_4 + 6.25*Int_comp_5 + 9*Int_comp_6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1
p_s~1
p_q~1
Int_comp_0 ~~ NA*Int_comp_0
Int_comp_1 ~~ NA*Int_comp_1
Int_comp_2 ~~ NA*Int_comp_2
Int_comp_3 ~~ NA*Int_comp_3
Int_comp_4 ~~ NA*Int_comp_4
Int_comp_5 ~~ NA*Int_comp_5
Int_comp_6 ~~ NA*Int_comp_6
Int_comp_0 ~ 0*1
Int_comp_1 ~ 0*1
Int_comp_2 ~ 0*1
Int_comp_3 ~ 0*1
Int_comp_4 ~ 0*1
Int_comp_5 ~ 0*1
Int_comp_6 ~ 0*1
# regression
p_i ~ g_i + a_i + pu_i
p_s ~ g_i + g_s + a_i + a_s + pu_i + pu_s + pu_q
p_q ~ g_i + g_s + a_i + a_s + pu_i + pu_s + pu_q"lavaan(Int.pga_pu6.model,
data = readRDS("pga6_all_data.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = FALSE,
std.lv = T
) %>%
saveRDS("pgcm_Int_pga_pu6_model.rds")result
readRDS("pgcm_Int_pga_pu6_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_Int_pga_pu6_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_Int_pga_pu6_model.rds"), "cor.lv"))$value [1] 5.874310680 4.760674176 3.879318347 2.419086008 2.269518918 0.979826484
[7] 0.949152440 0.673384142 0.505511967 0.227658198 0.221575234 0.200516767
[13] 0.189536338 0.158594418 0.157972191 0.128216038 0.096272979 0.088430375
[19] 0.079837203 0.059683264 0.039888790 0.021763540 0.016575655 0.002695849
readRDS("pgcm_Int_pga_pu6_result.rds")lavaan 0.6-19 ended normally after 298 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 434
Number of equality constraints 87
Used Total
Number of observations 11866 11867
Number of missing patterns 2190
Model Test User Model:
Test statistic 22690.383
Degrees of freedom 2353
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 415182.707
Degrees of freedom 2556
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.951
Tucker-Lewis Index (TLI) 0.946
Robust Comparative Fit Index (CFI) 0.947
Robust Tucker-Lewis Index (TLI) 0.942
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -719826.231
Loglikelihood unrestricted model (H1) -708481.039
Akaike (AIC) 1440346.462
Bayesian (BIC) 1442907.819
Sample-size adjusted Bayesian (SABIC) 1441805.092
Root Mean Square Error of Approximation:
RMSEA 0.027
90 Percent confidence interval - lower 0.027
90 Percent confidence interval - upper 0.027
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.032
90 Percent confidence interval - lower 0.032
90 Percent confidence interval - upper 0.032
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.052
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.851 0.844
asr___0 (l_AW) 0.887 0.007 127.142 0.000 0.755 0.737
asr___0 (l_AS) 0.799 0.007 112.967 0.000 0.680 0.680
asr___0 (l_AC) 0.914 0.007 125.311 0.000 0.778 0.746
asr___0 (l_AH) 0.897 0.007 131.615 0.000 0.764 0.766
asr___0 (l_AA) 0.763 0.008 97.362 0.000 0.649 0.621
asr___0 (l_AR) 0.905 0.007 125.111 0.000 0.770 0.751
asr___0 (l_AG) 0.476 0.008 59.064 0.000 0.405 0.392
a_eta2 =~
asr___2 1.000 0.839 0.828
asr___2 (l_AW) 0.887 0.007 127.142 0.000 0.745 0.734
asr___2 (l_AS) 0.799 0.007 112.967 0.000 0.671 0.671
asr___2 (l_AC) 0.914 0.007 125.311 0.000 0.767 0.764
asr___2 (l_AH) 0.897 0.007 131.615 0.000 0.753 0.772
asr___2 (l_AA) 0.763 0.008 97.362 0.000 0.640 0.633
asr___2 (l_AR) 0.905 0.007 125.111 0.000 0.760 0.751
asr___2 (l_AG) 0.476 0.008 59.064 0.000 0.399 0.402
a_eta4 =~
asr___4 1.000 0.809 0.814
asr___4 (l_AW) 0.887 0.007 127.142 0.000 0.718 0.730
asr___4 (l_AS) 0.799 0.007 112.967 0.000 0.647 0.659
asr___4 (l_AC) 0.914 0.007 125.311 0.000 0.739 0.763
asr___4 (l_AH) 0.897 0.007 131.615 0.000 0.726 0.746
asr___4 (l_AA) 0.763 0.008 97.362 0.000 0.617 0.633
asr___4 (l_AR) 0.905 0.007 125.111 0.000 0.732 0.746
asr___4 (l_AG) 0.476 0.008 59.064 0.000 0.385 0.393
a_i =~
a_etaB 1.000 0.923 0.923
a_eta2 1.000 0.936 0.936
a_eta4 1.000 0.971 0.971
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.300 0.300
a_eta4 2.000 0.622 0.622
g_etaB =~
flnkr_0 1.000 0.403 0.438
pttrn_0 (lm_R) 1.218 0.011 112.690 0.000 0.491 0.646
pictr_0 (lm_M) 0.598 0.009 64.689 0.000 0.241 0.286
pcvcb_0 (lm_P) 0.929 0.009 107.713 0.000 0.375 0.448
redng_0 (lm_V) 0.981 0.009 111.411 0.000 0.396 0.463
g_eta2 =~
flnkr_2 1.000 0.412 0.517
pttrn_2 (lm_R) 1.218 0.011 112.690 0.000 0.502 0.653
pictr_2 (lm_M) 0.598 0.009 64.689 0.000 0.246 0.276
pcvcb_2 (lm_P) 0.929 0.009 107.713 0.000 0.383 0.438
redng_2 (lm_V) 0.981 0.009 111.411 0.000 0.404 0.479
g_eta4 =~
flnkr_4 1.000 0.442 0.557
pttrn_4 (lm_R) 1.218 0.011 112.690 0.000 0.539 0.655
pictr_4 (lm_M) 0.598 0.009 64.689 0.000 0.264 0.249
pcvcb_4 (lm_P) 0.929 0.009 107.713 0.000 0.411 0.444
redng_4 (lm_V) 0.981 0.009 111.411 0.000 0.434 0.470
g_eta6 =~
flnkr_6 1.000 0.495 0.609
pttrn_6 (lm_R) 1.218 0.011 112.690 0.000 0.603 0.705
pictr_6 (lm_M) 0.598 0.009 64.689 0.000 0.296 0.279
pcvcb_6 (lm_P) 0.929 0.009 107.713 0.000 0.460 0.492
redng_6 (lm_V) 0.981 0.009 111.411 0.000 0.486 0.501
g_i =~
g_etaB 1.000 0.962 0.962
g_eta2 1.000 0.941 0.941
g_eta4 1.000 0.878 0.878
g_eta6 1.000 0.784 0.784
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.125 0.125
g_eta4 2.000 0.234 0.234
g_eta6 3.000 0.313 0.313
pu_etaB =~
p___001 1.000 0.439 0.394
p___002 (l_PR) 1.335 0.010 140.306 0.000 0.586 0.724
p___003 (l_PM) 1.262 0.009 135.005 0.000 0.554 0.699
pu_eta1 =~
p___001 1.000 0.482 0.470
p___002 (l_PR) 1.335 0.010 140.306 0.000 0.643 0.748
p___003 (l_PM) 1.262 0.009 135.005 0.000 0.608 0.691
pu_eta2 =~
p___001 1.000 0.494 0.533
p___002 (l_PR) 1.335 0.010 140.306 0.000 0.660 0.774
p___003 (l_PM) 1.262 0.009 135.005 0.000 0.624 0.698
pu_eta3 =~
p___001 1.000 0.490 0.584
p___002 (l_PR) 1.335 0.010 140.306 0.000 0.654 0.816
p___003 (l_PM) 1.262 0.009 135.005 0.000 0.619 0.719
pu_eta4 =~
p___001 1.000 0.458 0.611
p___002 (l_PR) 1.335 0.010 140.306 0.000 0.612 0.848
p___003 (l_PM) 1.262 0.009 135.005 0.000 0.578 0.734
pu_eta5 =~
p___001 1.000 0.397 0.568
p___002 (l_PR) 1.335 0.010 140.306 0.000 0.530 0.841
p___003 (l_PM) 1.262 0.009 135.005 0.000 0.501 0.709
pu_eta6 =~
p___001 1.000 0.346 0.512
p___002 (l_PR) 1.335 0.010 140.306 0.000 0.462 0.825
p___003 (l_PM) 1.262 0.009 135.005 0.000 0.437 0.671
pu_i =~
pu_etaB 1.000 0.977 0.977
pu_eta1 1.000 0.892 0.892
pu_eta2 1.000 0.869 0.869
pu_eta3 1.000 0.876 0.876
pu_eta4 1.000 0.937 0.937
pu_eta5 1.000 1.082 1.082
pu_eta6 1.000 1.240 1.240
pu_s =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.500 0.414 0.414
pu_eta2 1.000 0.807 0.807
pu_eta3 1.500 1.221 1.221
pu_eta4 2.000 1.742 1.742
pu_eta5 2.500 2.514 2.514
pu_eta6 3.000 3.458 3.458
pu_q =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.250 0.062 0.062
pu_eta2 1.000 0.242 0.242
pu_eta3 2.250 0.548 0.548
pu_eta4 4.000 1.043 1.043
pu_eta5 6.250 1.881 1.881
pu_eta6 9.000 3.106 3.106
p_i =~
Int_c_0 1.000 0.803 0.885
Int_c_1 1.000 0.803 0.851
Int_c_2 1.000 0.803 0.823
Int_c_3 1.000 0.803 0.787
Int_c_4 1.000 0.803 0.758
Int_c_5 1.000 0.803 0.716
Int_c_6 1.000 0.803 0.699
p_s =~
Int_c_0 0.000 0.000 0.000
Int_c_1 0.500 0.309 0.328
Int_c_2 1.000 0.618 0.634
Int_c_3 1.500 0.927 0.909
Int_c_4 2.000 1.236 1.167
Int_c_5 2.500 1.546 1.378
Int_c_6 3.000 1.855 1.615
p_q =~
Int_c_0 0.000 0.000 0.000
Int_c_1 0.250 0.046 0.049
Int_c_2 1.000 0.184 0.189
Int_c_3 2.250 0.415 0.406
Int_c_4 4.000 0.737 0.696
Int_c_5 6.250 1.152 1.027
Int_c_6 9.000 1.659 1.445
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
p_i ~
g_i -0.027 0.022 -1.206 0.228 -0.013 -0.013
a_i 0.672 0.011 59.603 0.000 0.657 0.657
pu_i 0.033 0.020 1.703 0.088 0.018 0.018
p_s ~
g_i 0.126 0.038 3.310 0.001 0.079 0.079
g_s -0.187 0.577 -0.324 0.746 -0.016 -0.016
a_i 0.087 0.016 5.522 0.000 0.110 0.110
a_s 1.588 0.083 19.070 0.000 0.646 0.646
pu_i 0.117 0.044 2.684 0.007 0.082 0.082
pu_s 0.201 0.121 1.652 0.099 0.130 0.130
pu_q 0.342 0.439 0.778 0.436 0.066 0.066
p_q ~
g_i -0.046 0.014 -3.331 0.001 -0.097 -0.097
g_s 0.184 0.213 0.863 0.388 0.052 0.052
a_i -0.018 0.005 -3.422 0.001 -0.075 -0.075
a_s -0.356 0.025 -14.312 0.000 -0.486 -0.486
pu_i 0.015 0.015 0.989 0.323 0.035 0.035
pu_s 0.099 0.043 2.312 0.021 0.215 0.215
pu_q 0.354 0.155 2.292 0.022 0.230 0.230
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.166 0.005 34.759 0.000 0.166 0.540
.asr_nxdp_cmp_4 0.151 0.005 30.751 0.000 0.151 0.483
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.185 0.005 35.274 0.000 0.185 0.565
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.223 0.006 36.493 0.000 0.223 0.466
.asr_wthdp_cm_4 0.201 0.006 32.593 0.000 0.201 0.433
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.219 0.006 34.789 0.000 0.219 0.472
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.265 0.007 39.947 0.000 0.265 0.488
.asr_soma_cmp_4 0.230 0.007 34.119 0.000 0.230 0.425
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.272 0.007 38.264 0.000 0.272 0.498
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.199 0.005 36.236 0.000 0.199 0.443
.asr_thprb_cm_4 0.167 0.006 30.287 0.000 0.167 0.384
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.175 0.005 32.836 0.000 0.175 0.432
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.255 0.005 48.775 0.000 0.255 0.644
.asr_ttprb_cm_4 0.248 0.006 45.084 0.000 0.248 0.599
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.267 0.006 47.838 0.000 0.267 0.666
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.313 0.007 42.055 0.000 0.313 0.488
.asr_rlbrk_cm_4 0.269 0.007 36.515 0.000 0.269 0.434
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.291 0.007 39.450 0.000 0.291 0.493
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.252 0.006 44.260 0.000 0.252 0.558
.asr_ggrss_cm_4 0.228 0.006 40.141 0.000 0.228 0.515
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.257 0.006 43.684 0.000 0.257 0.590
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.500 0.010 52.015 0.000 0.500 0.578
.asr_intr_cmp_4 0.469 0.010 48.107 0.000 0.469 0.547
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.479 0.010 49.833 0.000 0.479 0.584
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.007 0.005 1.494 0.135 0.007 0.019
.asr_soma_cmp_0 0.011 0.005 2.227 0.026 0.011 0.028
.asr_wthdp_cm_2 0.010 0.005 2.087 0.037 0.010 0.027
.asr_soma_cmp_2 0.020 0.005 3.902 0.000 0.020 0.049
.asr_wthdp_cm_4 0.008 0.005 1.640 0.101 0.008 0.022
.asr_soma_cmp_4 0.019 0.005 3.524 0.000 0.019 0.046
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 -0.001 0.005 -0.158 0.875 -0.001 -0.002
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.013 0.005 2.489 0.013 0.013 0.030
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.024 0.005 4.741 0.000 0.024 0.062
.asr_soma_cmp_2 0.031 0.005 5.848 0.000 0.031 0.075
.asr_wthdp_cm_4 0.011 0.005 2.143 0.032 0.011 0.029
.asr_soma_cmp_4 0.014 0.005 2.592 0.010 0.014 0.034
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 -0.008 0.005 -1.539 0.124 -0.008 -0.020
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.013 0.005 2.365 0.018 0.013 0.030
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.006 0.005 1.231 0.218 0.006 0.016
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.029 0.006 5.279 0.000 0.029 0.068
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.027 0.005 5.059 0.000 0.027 0.071
.asr_soma_cmp_4 0.043 0.006 7.436 0.000 0.043 0.101
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.042 0.006 -7.475 0.000 -0.042 -0.084
.asr_soma_cmp_2 -0.028 0.006 -4.895 0.000 -0.028 -0.055
.asr_soma_cmp_4 -0.043 0.006 -7.034 0.000 -0.043 -0.084
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.022 0.006 -3.811 0.000 -0.022 -0.043
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.025 0.006 -4.207 0.000 -0.025 -0.048
.asr_soma_cmp_4 -0.031 0.006 -5.029 0.000 -0.031 -0.060
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.024 0.006 -4.094 0.000 -0.024 -0.049
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.030 0.006 -4.983 0.000 -0.030 -0.060
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.032 0.006 -5.315 0.000 -0.032 -0.065
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.140 0.007 20.615 0.000 0.140 0.218
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.084 0.006 13.887 0.000 0.084 0.151
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.091 0.007 13.942 0.000 0.091 0.148
.asr_rlbrk_cm_2 0.033 0.006 5.651 0.000 0.033 0.062
.asr_intr_cmp_4 0.100 0.007 14.779 0.000 0.100 0.163
.asr_rlbrk_cm_4 0.040 0.006 6.765 0.000 0.040 0.078
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.100 0.007 14.946 0.000 0.100 0.158
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.059 0.006 9.847 0.000 0.059 0.108
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.144 0.007 21.591 0.000 0.144 0.237
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.054 0.006 9.270 0.000 0.054 0.104
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.115 0.007 16.873 0.000 0.115 0.191
.asr_rlbrk_cm_4 0.052 0.006 8.708 0.000 0.052 0.102
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.102 0.007 14.871 0.000 0.102 0.165
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.064 0.006 10.430 0.000 0.064 0.119
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.109 0.007 16.283 0.000 0.109 0.184
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.055 0.006 9.140 0.000 0.055 0.108
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.146 0.007 21.173 0.000 0.146 0.248
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.074 0.006 12.401 0.000 0.074 0.150
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.128 0.008 16.405 0.000 0.128 0.164
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.074 0.008 9.799 0.000 0.074 0.099
.asr_rlbrk_cm_4 0.079 0.008 10.228 0.000 0.079 0.109
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.078 0.008 10.271 0.000 0.078 0.105
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.119 0.007 15.978 0.000 0.119 0.167
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.078 0.007 10.384 0.000 0.078 0.113
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.092 0.008 11.679 0.000 0.092 0.124
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.085 0.008 11.074 0.000 0.085 0.121
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.118 0.008 15.566 0.000 0.118 0.174
a_i ~~
a_s -0.080 0.005 -17.698 0.000 -0.404 -0.404
.flanker_0 ~~
.flanker_2 0.138 0.007 18.754 0.000 0.138 0.244
.flanker_4 0.098 0.008 13.083 0.000 0.098 0.180
.flanker_6 0.087 0.009 9.332 0.000 0.087 0.162
.flanker_2 ~~
.flanker_4 0.144 0.007 19.874 0.000 0.144 0.321
.flanker_6 0.102 0.008 12.569 0.000 0.102 0.231
.flanker_4 ~~
.flanker_6 0.153 0.009 16.853 0.000 0.153 0.358
.pattern_0 ~~
.pattern_2 0.073 0.005 13.390 0.000 0.073 0.216
.pattern_4 0.040 0.006 6.758 0.000 0.040 0.111
.pattern_6 0.033 0.007 4.606 0.000 0.033 0.093
.pattern_2 ~~
.pattern_4 0.105 0.007 15.303 0.000 0.105 0.289
.pattern_6 0.074 0.008 9.810 0.000 0.074 0.209
.pattern_4 ~~
.pattern_6 0.127 0.009 14.175 0.000 0.127 0.336
.picture_0 ~~
.picture_2 0.253 0.007 33.988 0.000 0.253 0.365
.picture_4 0.259 0.009 28.233 0.000 0.259 0.312
.picture_6 0.284 0.012 23.734 0.000 0.284 0.345
.picture_2 ~~
.picture_4 0.288 0.010 28.238 0.000 0.288 0.327
.picture_6 0.269 0.013 20.063 0.000 0.269 0.309
.picture_4 ~~
.picture_6 0.393 0.016 24.845 0.000 0.393 0.375
.picvocab_0 ~~
.picvocab_2 0.399 0.007 53.242 0.000 0.399 0.677
.picvocab_4 0.402 0.008 50.708 0.000 0.402 0.648
.picvocab_6 0.381 0.009 43.289 0.000 0.381 0.626
.picvocab_2 ~~
.picvocab_4 0.474 0.009 54.099 0.000 0.474 0.728
.picvocab_6 0.461 0.010 47.492 0.000 0.461 0.721
.picvocab_4 ~~
.picvocab_6 0.510 0.011 48.403 0.000 0.510 0.757
.reading_0 ~~
.reading_2 0.406 0.007 55.013 0.000 0.406 0.723
.reading_4 0.409 0.008 50.848 0.000 0.409 0.662
.reading_6 0.418 0.010 43.629 0.000 0.418 0.657
.reading_2 ~~
.reading_4 0.419 0.008 51.351 0.000 0.419 0.693
.reading_6 0.435 0.010 45.338 0.000 0.435 0.699
.reading_4 ~~
.reading_6 0.458 0.011 42.953 0.000 0.458 0.670
.picvocab_0 ~~
.reading_0 0.234 0.007 36.030 0.000 0.234 0.413
.reading_2 0.247 0.007 37.724 0.000 0.247 0.446
.reading_4 0.266 0.007 36.278 0.000 0.266 0.435
.reading_6 0.284 0.009 32.203 0.000 0.284 0.452
.picvocab_2 ~~
.reading_2 0.290 0.007 40.536 0.000 0.290 0.499
.reading_0 ~~
.picvocab_2 0.269 0.007 38.396 0.000 0.269 0.451
.picvocab_2 ~~
.reading_4 0.315 0.008 39.609 0.000 0.315 0.492
.reading_6 0.341 0.010 35.535 0.000 0.341 0.516
.picvocab_4 ~~
.reading_4 0.339 0.009 38.971 0.000 0.339 0.502
.reading_0 ~~
.picvocab_4 0.277 0.008 36.845 0.000 0.277 0.441
.reading_2 ~~
.picvocab_4 0.302 0.008 39.475 0.000 0.302 0.492
.picvocab_4 ~~
.reading_6 0.369 0.010 35.679 0.000 0.369 0.530
.picvocab_6 ~~
.reading_6 0.363 0.011 32.315 0.000 0.363 0.531
.reading_0 ~~
.picvocab_6 0.258 0.009 29.966 0.000 0.258 0.418
.reading_2 ~~
.picvocab_6 0.286 0.009 33.130 0.000 0.286 0.475
.reading_4 ~~
.picvocab_6 0.324 0.010 33.428 0.000 0.324 0.490
g_i ~~
g_s 0.004 0.001 3.511 0.000 0.212 0.212
.ph_p_pds_001_0 ~~
.ph_p_pds_001_1 0.426 0.011 40.298 0.000 0.426 0.460
.ph_p_pds_001_2 0.253 0.009 28.440 0.000 0.253 0.315
.ph_p_pds_001_3 0.135 0.008 17.254 0.000 0.135 0.193
.ph_p_pds_001_4 0.052 0.007 7.321 0.000 0.052 0.085
.ph_p_pds_001_5 0.027 0.007 3.880 0.000 0.027 0.046
.ph_p_pds_001_6 0.023 0.009 2.594 0.009 0.023 0.039
.ph_p_pds_001_1 ~~
.ph_p_pds_001_2 0.296 0.008 36.173 0.000 0.296 0.418
.ph_p_pds_001_3 0.166 0.007 23.359 0.000 0.166 0.269
.ph_p_pds_001_4 0.069 0.006 11.022 0.000 0.069 0.129
.ph_p_pds_001_5 0.034 0.006 5.482 0.000 0.034 0.065
.ph_p_pds_001_6 0.019 0.008 2.379 0.017 0.019 0.036
.ph_p_pds_001_2 ~~
.ph_p_pds_001_3 0.214 0.007 32.904 0.000 0.214 0.400
.ph_p_pds_001_4 0.092 0.006 16.705 0.000 0.092 0.198
.ph_p_pds_001_5 0.040 0.005 7.508 0.000 0.040 0.090
.ph_p_pds_001_6 0.028 0.007 4.054 0.000 0.028 0.062
.ph_p_pds_001_3 ~~
.ph_p_pds_001_4 0.120 0.005 23.640 0.000 0.120 0.295
.ph_p_pds_001_5 0.061 0.005 12.563 0.000 0.061 0.156
.ph_p_pds_001_6 0.035 0.006 5.745 0.000 0.035 0.088
.ph_p_pds_001_4 ~~
.ph_p_pds_001_5 0.134 0.005 29.374 0.000 0.134 0.391
.ph_p_pds_001_6 0.083 0.006 14.638 0.000 0.083 0.241
.ph_p_pds_001_5 ~~
.ph_p_pds_001_6 0.141 0.006 24.920 0.000 0.141 0.423
.ph_p_pds_002_0 ~~
.ph_p_pds_002_1 0.119 0.005 21.791 0.000 0.119 0.373
.ph_p_pds_002_2 0.056 0.005 11.371 0.000 0.056 0.186
.ph_p_pds_002_3 0.024 0.004 5.296 0.000 0.024 0.091
.ph_p_pds_002_4 0.008 0.004 1.936 0.053 0.008 0.036
.ph_p_pds_002_5 0.001 0.004 0.270 0.787 0.001 0.005
.ph_p_pds_002_6 0.000 0.005 0.101 0.920 0.000 0.003
.ph_p_pds_002_1 ~~
.ph_p_pds_002_2 0.124 0.005 23.166 0.000 0.124 0.401
.ph_p_pds_002_3 0.057 0.005 12.069 0.000 0.057 0.215
.ph_p_pds_002_4 0.012 0.004 3.029 0.002 0.012 0.056
.ph_p_pds_002_5 0.008 0.004 2.050 0.040 0.008 0.040
.ph_p_pds_002_6 0.026 0.005 5.623 0.000 0.026 0.143
.ph_p_pds_002_2 ~~
.ph_p_pds_002_3 0.100 0.005 20.815 0.000 0.100 0.398
.ph_p_pds_002_4 0.029 0.004 7.177 0.000 0.029 0.142
.ph_p_pds_002_5 0.010 0.004 2.742 0.006 0.010 0.055
.ph_p_pds_002_6 0.032 0.004 7.318 0.000 0.032 0.187
.ph_p_pds_002_3 ~~
.ph_p_pds_002_4 0.045 0.004 11.689 0.000 0.045 0.255
.ph_p_pds_002_5 0.019 0.003 5.554 0.000 0.019 0.122
.ph_p_pds_002_6 0.032 0.004 8.119 0.000 0.032 0.218
.ph_p_pds_002_4 ~~
.ph_p_pds_002_5 0.037 0.003 11.409 0.000 0.037 0.284
.ph_p_pds_002_6 0.023 0.004 6.282 0.000 0.023 0.190
.ph_p_pds_002_5 ~~
.ph_p_pds_002_6 0.028 0.003 7.960 0.000 0.028 0.257
.ph_p_pds_003_0 ~~
.ph_p_pds_003_1 0.134 0.005 24.748 0.000 0.134 0.370
.ph_p_pds_003_2 0.082 0.005 16.227 0.000 0.082 0.226
.ph_p_pds_003_3 0.046 0.005 9.733 0.000 0.046 0.135
.ph_p_pds_003_4 0.018 0.004 4.039 0.000 0.018 0.058
.ph_p_pds_003_5 0.020 0.004 4.690 0.000 0.020 0.069
.ph_p_pds_003_6 0.006 0.005 1.261 0.207 0.006 0.024
.ph_p_pds_003_1 ~~
.ph_p_pds_003_2 0.165 0.006 28.794 0.000 0.165 0.405
.ph_p_pds_003_3 0.089 0.005 16.878 0.000 0.089 0.233
.ph_p_pds_003_4 0.027 0.005 5.589 0.000 0.027 0.078
.ph_p_pds_003_5 0.013 0.005 2.766 0.006 0.013 0.040
.ph_p_pds_003_6 0.007 0.006 1.212 0.226 0.007 0.022
.ph_p_pds_003_2 ~~
.ph_p_pds_003_3 0.157 0.005 28.668 0.000 0.157 0.410
.ph_p_pds_003_4 0.066 0.005 13.384 0.000 0.066 0.191
.ph_p_pds_003_5 0.037 0.005 8.021 0.000 0.037 0.116
.ph_p_pds_003_6 0.016 0.006 2.772 0.006 0.016 0.051
.ph_p_pds_003_3 ~~
.ph_p_pds_003_4 0.106 0.005 22.094 0.000 0.106 0.331
.ph_p_pds_003_5 0.056 0.004 12.559 0.000 0.056 0.187
.ph_p_pds_003_6 0.039 0.005 7.275 0.000 0.039 0.133
.ph_p_pds_003_4 ~~
.ph_p_pds_003_5 0.086 0.004 20.040 0.000 0.086 0.324
.ph_p_pds_003_6 0.064 0.005 12.627 0.000 0.064 0.247
.ph_p_pds_003_5 ~~
.ph_p_pds_003_6 0.074 0.005 15.618 0.000 0.074 0.308
pu_i ~~
pu_s -0.034 0.005 -7.354 0.000 -0.197 -0.197
pu_q -0.006 0.001 -4.215 0.000 -0.109 -0.109
pu_s ~~
pu_q -0.044 0.002 -21.807 0.000 -0.918 -0.918
.p_i ~~
.p_s -0.069 0.010 -6.791 0.000 -0.234 -0.234
.p_q 0.008 0.003 2.494 0.013 0.081 0.081
.p_s ~~
.p_q -0.067 0.005 -12.595 0.000 -0.855 -0.855
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) -0.002 0.004 -0.348 0.728 -0.002 -0.002
.asr___0 (t_AW) 0.006 0.005 1.152 0.249 0.006 0.006
.asr___0 (t_AS) 0.001 0.005 0.195 0.845 0.001 0.001
.asr___0 (t_AP) 0.003 0.005 0.707 0.480 0.003 0.003
.asr___0 (t_AH) 0.003 0.005 0.665 0.506 0.003 0.003
.asr___0 (t_AA) 0.009 0.006 1.640 0.101 0.009 0.009
.asr___0 (t_AR) 0.005 0.005 0.951 0.341 0.005 0.005
.asr___0 (t_AG) 0.001 0.007 0.205 0.837 0.001 0.001
.asr___2 (t_AX) -0.002 0.004 -0.348 0.728 -0.002 -0.002
.asr___2 (t_AW) 0.006 0.005 1.152 0.249 0.006 0.006
.asr___2 (t_AS) 0.001 0.005 0.195 0.845 0.001 0.001
.asr___2 (t_AP) 0.003 0.005 0.707 0.480 0.003 0.003
.asr___2 (t_AH) 0.003 0.005 0.665 0.506 0.003 0.003
.asr___2 (t_AA) 0.009 0.006 1.640 0.101 0.009 0.009
.asr___2 (t_AR) 0.005 0.005 0.951 0.341 0.005 0.005
.asr___2 (t_AG) 0.001 0.007 0.205 0.837 0.001 0.001
.asr___4 (t_AX) -0.002 0.004 -0.348 0.728 -0.002 -0.002
.asr___4 (t_AW) 0.006 0.005 1.152 0.249 0.006 0.006
.asr___4 (t_AS) 0.001 0.005 0.195 0.845 0.001 0.001
.asr___4 (t_AP) 0.003 0.005 0.707 0.480 0.003 0.004
.asr___4 (t_AH) 0.003 0.005 0.665 0.506 0.003 0.003
.asr___4 (t_AA) 0.009 0.006 1.640 0.101 0.009 0.009
.asr___4 (t_AR) 0.005 0.005 0.951 0.341 0.005 0.005
.asr___4 (t_AG) 0.001 0.007 0.205 0.837 0.001 0.001
a_i 0.021 0.008 2.665 0.008 0.027 0.027
a_s -0.023 0.004 -6.252 0.000 -0.091 -0.091
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.flnkr_0 (ta_S) 0.100 0.005 19.039 0.000 0.100 0.108
.flnkr_2 (ta_S) 0.100 0.005 19.039 0.000 0.100 0.125
.flnkr_4 (ta_S) 0.100 0.005 19.039 0.000 0.100 0.126
.flnkr_6 (ta_S) 0.100 0.005 19.039 0.000 0.100 0.123
.pttrn_0 (ta_R) 0.116 0.005 22.930 0.000 0.116 0.153
.pttrn_2 (ta_R) 0.116 0.005 22.930 0.000 0.116 0.151
.pttrn_4 (ta_R) 0.116 0.005 22.930 0.000 0.116 0.141
.pttrn_6 (ta_R) 0.116 0.005 22.930 0.000 0.116 0.136
.pictr_0 (ta_M) 0.052 0.006 8.021 0.000 0.052 0.062
.pictr_2 (ta_M) 0.052 0.006 8.021 0.000 0.052 0.058
.pictr_4 (ta_M) 0.052 0.006 8.021 0.000 0.052 0.049
.pictr_6 (ta_M) 0.052 0.006 8.021 0.000 0.052 0.049
.pcvcb_0 (ta_P) 0.048 0.006 8.680 0.000 0.048 0.057
.pcvcb_2 (ta_P) 0.048 0.006 8.680 0.000 0.048 0.055
.pcvcb_4 (ta_P) 0.048 0.006 8.680 0.000 0.048 0.052
.pcvcb_6 (ta_P) 0.048 0.006 8.680 0.000 0.048 0.051
.redng_0 (ta_V) 0.058 0.005 10.851 0.000 0.058 0.068
.redng_2 (ta_V) 0.058 0.005 10.851 0.000 0.058 0.069
.redng_4 (ta_V) 0.058 0.005 10.851 0.000 0.058 0.063
.redng_6 (ta_V) 0.058 0.005 10.851 0.000 0.058 0.060
g_i -0.653 0.007 -97.707 0.000 -1.684 -1.684
g_s 0.473 0.004 128.143 0.000 9.145 9.145
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
.p___001 (t_PS) 0.044 0.004 11.586 0.000 0.044 0.039
.p___001 (t_PS) 0.044 0.004 11.586 0.000 0.044 0.043
.p___001 (t_PS) 0.044 0.004 11.586 0.000 0.044 0.047
.p___001 (t_PS) 0.044 0.004 11.586 0.000 0.044 0.052
.p___001 (t_PS) 0.044 0.004 11.586 0.000 0.044 0.058
.p___001 (t_PS) 0.044 0.004 11.586 0.000 0.044 0.063
.p___001 (t_PS) 0.044 0.004 11.586 0.000 0.044 0.065
.p___002 (t_PR) 0.100 0.003 37.330 0.000 0.100 0.123
.p___002 (t_PR) 0.100 0.003 37.330 0.000 0.100 0.116
.p___002 (t_PR) 0.100 0.003 37.330 0.000 0.100 0.117
.p___002 (t_PR) 0.100 0.003 37.330 0.000 0.100 0.125
.p___002 (t_PR) 0.100 0.003 37.330 0.000 0.100 0.138
.p___002 (t_PR) 0.100 0.003 37.330 0.000 0.100 0.159
.p___002 (t_PR) 0.100 0.003 37.330 0.000 0.100 0.178
.p___003 (t_PM) 0.091 0.003 32.144 0.000 0.091 0.114
.p___003 (t_PM) 0.091 0.003 32.144 0.000 0.091 0.103
.p___003 (t_PM) 0.091 0.003 32.144 0.000 0.091 0.101
.p___003 (t_PM) 0.091 0.003 32.144 0.000 0.091 0.105
.p___003 (t_PM) 0.091 0.003 32.144 0.000 0.091 0.115
.p___003 (t_PM) 0.091 0.003 32.144 0.000 0.091 0.128
.p___003 (t_PM) 0.091 0.003 32.144 0.000 0.091 0.139
pu_i -0.724 0.007 -108.272 0.000 -1.686 -1.686
pu_s 0.596 0.007 86.633 0.000 1.495 1.495
pu_q -0.043 0.002 -22.468 0.000 -0.360 -0.360
.pu_etaB 0.000 0.000 0.000
.pu_eta1 0.000 0.000 0.000
.pu_eta2 0.000 0.000 0.000
.pu_eta3 0.000 0.000 0.000
.pu_eta4 0.000 0.000 0.000
.pu_eta5 0.000 0.000 0.000
.pu_eta6 0.000 0.000 0.000
.p_i -0.053 0.022 -2.445 0.014 -0.066 -0.066
.p_s 0.219 0.290 0.756 0.450 0.354 0.354
.p_q -0.154 0.107 -1.442 0.149 -0.838 -0.838
.Int_c_0 0.000 0.000 0.000
.Int_c_1 0.000 0.000 0.000
.Int_c_2 0.000 0.000 0.000
.Int_c_3 0.000 0.000 0.000
.Int_c_4 0.000 0.000 0.000
.Int_c_5 0.000 0.000 0.000
.Int_c_6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.107 0.006 16.898 0.000 0.148 0.148
.a_eta2 0.184 0.005 39.164 0.000 0.261 0.261
.a_eta4 0.104 0.007 14.146 0.000 0.159 0.159
.asr_nxdp_cmp_0 0.294 0.006 51.200 0.000 0.294 0.288
.asr_wthdp_cm_0 0.479 0.008 62.298 0.000 0.479 0.456
.asr_soma_cmp_0 0.538 0.008 65.701 0.000 0.538 0.538
.asr_thprb_cm_0 0.481 0.007 65.764 0.000 0.481 0.443
.asr_ttprb_cm_0 0.410 0.006 64.479 0.000 0.410 0.413
.asr_rlbrk_cm_0 0.671 0.010 70.147 0.000 0.671 0.614
.asr_ggrss_cm_0 0.459 0.007 65.216 0.000 0.459 0.436
.asr_intr_cmp_0 0.904 0.012 75.005 0.000 0.904 0.846
.asr_nxdp_cmp_2 0.323 0.006 51.806 0.000 0.323 0.314
.asr_wthdp_cm_2 0.475 0.008 60.556 0.000 0.475 0.461
.asr_soma_cmp_2 0.549 0.009 64.029 0.000 0.549 0.550
.asr_thprb_cm_2 0.419 0.007 62.277 0.000 0.419 0.416
.asr_ttprb_cm_2 0.384 0.006 61.448 0.000 0.384 0.404
.asr_rlbrk_cm_2 0.612 0.009 67.049 0.000 0.612 0.599
.asr_ggrss_cm_2 0.445 0.007 62.971 0.000 0.445 0.435
.asr_intr_cmp_2 0.827 0.011 72.171 0.000 0.827 0.838
.asr_nxdp_cmp_4 0.334 0.007 49.279 0.000 0.334 0.338
.asr_wthdp_cm_4 0.452 0.008 56.596 0.000 0.452 0.467
.asr_soma_cmp_4 0.543 0.009 59.873 0.000 0.543 0.565
.asr_thprb_cm_4 0.392 0.007 57.767 0.000 0.392 0.418
.asr_ttprb_cm_4 0.419 0.007 58.850 0.000 0.419 0.443
.asr_rlbrk_cm_4 0.571 0.009 62.328 0.000 0.571 0.600
.asr_ggrss_cm_4 0.428 0.007 58.927 0.000 0.428 0.444
.asr_intr_cmp_4 0.813 0.012 67.935 0.000 0.813 0.846
a_i 0.617 0.012 49.406 0.000 1.000 1.000
a_s 0.063 0.003 19.595 0.000 1.000 1.000
.g_etaB 0.012 0.002 5.321 0.000 0.075 0.075
.g_eta2 0.008 0.002 5.234 0.000 0.048 0.048
.g_eta4 0.017 0.002 8.204 0.000 0.088 0.088
.g_eta6 0.045 0.004 11.350 0.000 0.184 0.184
.flanker_0 0.684 0.010 68.035 0.000 0.684 0.808
.flanker_2 0.466 0.009 54.406 0.000 0.466 0.733
.flanker_4 0.435 0.009 49.464 0.000 0.435 0.690
.flanker_6 0.417 0.011 38.672 0.000 0.417 0.630
.pattern_0 0.337 0.006 52.425 0.000 0.337 0.583
.pattern_2 0.339 0.008 45.091 0.000 0.339 0.574
.pattern_4 0.387 0.009 42.822 0.000 0.387 0.572
.pattern_6 0.367 0.011 32.935 0.000 0.367 0.502
.picture_0 0.654 0.009 73.393 0.000 0.654 0.918
.picture_2 0.734 0.011 69.176 0.000 0.734 0.924
.picture_4 1.056 0.016 66.198 0.000 1.056 0.938
.picture_6 1.036 0.022 47.862 0.000 1.036 0.922
.picvocab_0 0.561 0.008 68.958 0.000 0.561 0.800
.picvocab_2 0.618 0.009 66.213 0.000 0.618 0.808
.picvocab_4 0.686 0.011 63.054 0.000 0.686 0.803
.picvocab_6 0.661 0.013 49.270 0.000 0.661 0.758
.reading_0 0.575 0.008 68.331 0.000 0.575 0.786
.reading_2 0.549 0.008 64.907 0.000 0.549 0.771
.reading_4 0.664 0.011 62.005 0.000 0.664 0.779
.reading_6 0.704 0.015 47.900 0.000 0.704 0.749
g_i 0.151 0.004 35.985 0.000 1.000 1.000
g_s 0.003 0.001 4.132 0.000 1.000 1.000
.pu_etaB 0.009 0.003 2.668 0.008 0.045 0.045
.pu_eta1 0.054 0.002 23.658 0.000 0.234 0.234
.pu_eta2 0.052 0.002 24.144 0.000 0.215 0.215
.pu_eta3 0.047 0.002 23.348 0.000 0.196 0.196
.pu_eta4 0.040 0.002 22.434 0.000 0.191 0.191
.pu_eta5 0.026 0.002 17.139 0.000 0.168 0.168
.pu_eta6 0.012 0.003 4.715 0.000 0.104 0.104
.ph_p_pds_001_0 1.052 0.015 69.920 0.000 1.052 0.845
.ph_p_pds_002_0 0.313 0.007 47.808 0.000 0.313 0.476
.ph_p_pds_003_0 0.321 0.006 51.633 0.000 0.321 0.511
.ph_p_pds_001_1 0.818 0.012 68.480 0.000 0.818 0.779
.ph_p_pds_002_1 0.326 0.007 44.810 0.000 0.326 0.441
.ph_p_pds_003_1 0.405 0.008 53.811 0.000 0.405 0.523
.ph_p_pds_001_2 0.615 0.009 65.688 0.000 0.615 0.716
.ph_p_pds_002_2 0.292 0.007 43.060 0.000 0.292 0.401
.ph_p_pds_003_2 0.410 0.007 55.293 0.000 0.410 0.513
.ph_p_pds_001_3 0.465 0.007 62.391 0.000 0.465 0.659
.ph_p_pds_002_3 0.215 0.006 37.977 0.000 0.215 0.334
.ph_p_pds_003_3 0.358 0.007 53.837 0.000 0.358 0.483
.ph_p_pds_001_4 0.353 0.006 60.371 0.000 0.353 0.627
.ph_p_pds_002_4 0.146 0.004 32.885 0.000 0.146 0.281
.ph_p_pds_003_4 0.286 0.006 50.377 0.000 0.286 0.461
.ph_p_pds_001_5 0.330 0.006 58.202 0.000 0.330 0.677
.ph_p_pds_002_5 0.116 0.004 30.659 0.000 0.116 0.292
.ph_p_pds_003_5 0.249 0.005 49.480 0.000 0.249 0.498
.ph_p_pds_001_6 0.338 0.008 44.192 0.000 0.338 0.738
.ph_p_pds_002_6 0.100 0.004 22.763 0.000 0.100 0.319
.ph_p_pds_003_6 0.233 0.006 38.603 0.000 0.233 0.550
pu_i 0.184 0.005 37.344 0.000 1.000 1.000
pu_s 0.159 0.007 23.561 0.000 1.000 1.000
pu_q 0.014 0.001 22.243 0.000 1.000 1.000
.p_i 0.366 0.009 39.516 0.000 0.568 0.568
.p_s 0.235 0.017 13.718 0.000 0.615 0.615
.p_q 0.026 0.002 14.575 0.000 0.773 0.773
.Int_comp_0 0.179 0.007 25.939 0.000 0.179 0.217
.Int_comp_1 0.280 0.005 58.282 0.000 0.280 0.315
.Int_comp_2 0.287 0.005 56.481 0.000 0.287 0.302
.Int_comp_3 0.305 0.006 53.745 0.000 0.305 0.293
.Int_comp_4 0.321 0.006 52.400 0.000 0.321 0.286
.Int_comp_5 0.369 0.008 46.980 0.000 0.369 0.293
.Int_comp_6 0.241 0.013 18.361 0.000 0.241 0.183
R-Square:
Estimate
a_etaB 0.852
a_eta2 0.739
a_eta4 0.841
asr_nxdp_cmp_0 0.712
asr_wthdp_cm_0 0.544
asr_soma_cmp_0 0.462
asr_thprb_cm_0 0.557
asr_ttprb_cm_0 0.587
asr_rlbrk_cm_0 0.386
asr_ggrss_cm_0 0.564
asr_intr_cmp_0 0.154
asr_nxdp_cmp_2 0.686
asr_wthdp_cm_2 0.539
asr_soma_cmp_2 0.450
asr_thprb_cm_2 0.584
asr_ttprb_cm_2 0.596
asr_rlbrk_cm_2 0.401
asr_ggrss_cm_2 0.565
asr_intr_cmp_2 0.162
asr_nxdp_cmp_4 0.662
asr_wthdp_cm_4 0.533
asr_soma_cmp_4 0.435
asr_thprb_cm_4 0.582
asr_ttprb_cm_4 0.557
asr_rlbrk_cm_4 0.400
asr_ggrss_cm_4 0.556
asr_intr_cmp_4 0.154
g_etaB 0.925
g_eta2 0.952
g_eta4 0.912
g_eta6 0.816
flanker_0 0.192
flanker_2 0.267
flanker_4 0.310
flanker_6 0.370
pattern_0 0.417
pattern_2 0.426
pattern_4 0.428
pattern_6 0.498
picture_0 0.082
picture_2 0.076
picture_4 0.062
picture_6 0.078
picvocab_0 0.200
picvocab_2 0.192
picvocab_4 0.197
picvocab_6 0.242
reading_0 0.214
reading_2 0.229
reading_4 0.221
reading_6 0.251
pu_etaB 0.955
pu_eta1 0.766
pu_eta2 0.785
pu_eta3 0.804
pu_eta4 0.809
pu_eta5 0.832
pu_eta6 0.896
ph_p_pds_001_0 0.155
ph_p_pds_002_0 0.524
ph_p_pds_003_0 0.489
ph_p_pds_001_1 0.221
ph_p_pds_002_1 0.559
ph_p_pds_003_1 0.477
ph_p_pds_001_2 0.284
ph_p_pds_002_2 0.599
ph_p_pds_003_2 0.487
ph_p_pds_001_3 0.341
ph_p_pds_002_3 0.666
ph_p_pds_003_3 0.517
ph_p_pds_001_4 0.373
ph_p_pds_002_4 0.719
ph_p_pds_003_4 0.539
ph_p_pds_001_5 0.323
ph_p_pds_002_5 0.708
ph_p_pds_003_5 0.502
ph_p_pds_001_6 0.262
ph_p_pds_002_6 0.681
ph_p_pds_003_6 0.450
p_i 0.432
p_s 0.385
p_q 0.227
Int_comp_0 0.783
Int_comp_1 0.685
Int_comp_2 0.698
Int_comp_3 0.707
Int_comp_4 0.714
Int_comp_5 0.707
Int_comp_6 0.817
Int ~ pp + g + pu model with sex
Children’s Internalizing symptoms (Int) was regressed on parental psychopathology (pp), children’s cognitive functioning (g) and children’s puberty (pu), with sex as covariate.
model fit
# Add sex as covariate
Int.pga_pu6.sex.model <- Int.pga_pu6.model %>%
str_replace_all(
c(
"_i ~ 1" = "_i ~ 1 + dummy_sex",
"_s ~ 1" = "_s ~ 1 + dummy_sex",
"_q ~ 1" = "_q ~ 1 + dummy_sex",
"_i~1" = "_i~1 + dummy_sex",
"_s~1" = "_s~1 + dummy_sex",
"_q~1" = "_q~1 + dummy_sex"
)
)
writeLines(Int.pga_pu6.sex.model)# second-order pp factor
#factor loadings (with constraints)
a_etaB =~ 1*asr_anxdep_comp_0+
lambda_AW*asr_withdep_comp_0+
lambda_AS*asr_soma_comp_0+
lambda_AC*asr_thouprob_comp_0+
lambda_AH*asr_attprob_comp_0+
lambda_AA*asr_rulebreak_comp_0+
lambda_AR*asr_aggress_comp_0+
lambda_AG*asr_intru_comp_0
a_eta2 =~ 1*asr_anxdep_comp_2+
lambda_AW*asr_withdep_comp_2+
lambda_AS*asr_soma_comp_2+
lambda_AC*asr_thouprob_comp_2+
lambda_AH*asr_attprob_comp_2+
lambda_AA*asr_rulebreak_comp_2+
lambda_AR*asr_aggress_comp_2+
lambda_AG*asr_intru_comp_2
a_eta4 =~ 1*asr_anxdep_comp_4+
lambda_AW*asr_withdep_comp_4+
lambda_AS*asr_soma_comp_4+
lambda_AC*asr_thouprob_comp_4+
lambda_AH*asr_attprob_comp_4+
lambda_AA*asr_rulebreak_comp_4+
lambda_AR*asr_aggress_comp_4+
lambda_AG*asr_intru_comp_4
#latent variable variances
a_etaB~~NA*a_etaB
a_eta2~~NA*a_eta2
a_eta4~~NA*a_eta4
#unique variances # No need to constrict these
asr_anxdep_comp_0~~asr_anxdep_comp_0
asr_withdep_comp_0~~asr_withdep_comp_0
asr_soma_comp_0~~asr_soma_comp_0
asr_thouprob_comp_0~~asr_thouprob_comp_0
asr_attprob_comp_0~~asr_attprob_comp_0
asr_rulebreak_comp_0~~asr_rulebreak_comp_0
asr_aggress_comp_0~~asr_aggress_comp_0
asr_intru_comp_0~~asr_intru_comp_0
asr_anxdep_comp_2~~asr_anxdep_comp_2
asr_withdep_comp_2~~asr_withdep_comp_2
asr_soma_comp_2~~asr_soma_comp_2
asr_thouprob_comp_2~~asr_thouprob_comp_2
asr_attprob_comp_2~~asr_attprob_comp_2
asr_rulebreak_comp_2~~asr_rulebreak_comp_2
asr_aggress_comp_2~~asr_aggress_comp_2
asr_intru_comp_2~~asr_intru_comp_2
asr_anxdep_comp_4~~asr_anxdep_comp_4
asr_withdep_comp_4~~asr_withdep_comp_4
asr_soma_comp_4~~asr_soma_comp_4
asr_thouprob_comp_4~~asr_thouprob_comp_4
asr_attprob_comp_4~~asr_attprob_comp_4
asr_rulebreak_comp_4~~asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_aggress_comp_4
asr_intru_comp_4~~asr_intru_comp_4
#unique covariances
# Scores arcoss times
asr_anxdep_comp_0~~ asr_anxdep_comp_2 + asr_anxdep_comp_4
asr_anxdep_comp_2~~ asr_anxdep_comp_4
asr_withdep_comp_0 ~~ asr_withdep_comp_2 + asr_withdep_comp_4
asr_withdep_comp_2 ~~ asr_withdep_comp_4
asr_soma_comp_0~~ asr_soma_comp_2 + asr_soma_comp_4
asr_soma_comp_2~~ asr_soma_comp_4
asr_thouprob_comp_0~~ asr_thouprob_comp_2 + asr_thouprob_comp_4
asr_thouprob_comp_2~~ asr_thouprob_comp_4
asr_attprob_comp_0~~ asr_attprob_comp_2 + asr_attprob_comp_4
asr_attprob_comp_2~~ asr_attprob_comp_4
asr_rulebreak_comp_0~~ asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_rulebreak_comp_2~~ asr_rulebreak_comp_4
asr_aggress_comp_0~~ asr_aggress_comp_2 + asr_aggress_comp_4
asr_aggress_comp_2~~ asr_aggress_comp_4
asr_intru_comp_0~~ asr_intru_comp_2 + asr_intru_comp_4
asr_intru_comp_2~~ asr_intru_comp_4
# Internalizeing subscale covariances
asr_anxdep_comp_0~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_2~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_anxdep_comp_4~~asr_withdep_comp_0 + asr_soma_comp_0 + asr_withdep_comp_2 + asr_soma_comp_2 + asr_withdep_comp_4 + asr_soma_comp_4
asr_withdep_comp_0~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_2~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
asr_withdep_comp_4~~asr_soma_comp_0 + asr_soma_comp_2 + asr_soma_comp_4
# Externalizeing subscale covariances
asr_aggress_comp_0~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_2~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_aggress_comp_4~~asr_intru_comp_0 + asr_rulebreak_comp_0 + asr_intru_comp_2 + asr_rulebreak_comp_2 + asr_intru_comp_4 + asr_rulebreak_comp_4
asr_intru_comp_0~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_2~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
asr_intru_comp_4~~asr_rulebreak_comp_0 + asr_rulebreak_comp_2 + asr_rulebreak_comp_4
#observed variable intercepts
asr_anxdep_comp_0~tau_AX*1
asr_withdep_comp_0~tau_AW*1
asr_soma_comp_0~tau_AS*1
asr_thouprob_comp_0~tau_AP*1
asr_attprob_comp_0~tau_AH*1
asr_rulebreak_comp_0~tau_AA*1
asr_aggress_comp_0~tau_AR*1
asr_intru_comp_0~tau_AG*1
asr_anxdep_comp_2~tau_AX*1
asr_withdep_comp_2~tau_AW*1
asr_soma_comp_2~tau_AS*1
asr_thouprob_comp_2~tau_AP*1
asr_attprob_comp_2~tau_AH*1
asr_rulebreak_comp_2~tau_AA*1
asr_aggress_comp_2~tau_AR*1
asr_intru_comp_2~tau_AG*1
asr_anxdep_comp_4~tau_AX*1
asr_withdep_comp_4~tau_AW*1
asr_soma_comp_4~tau_AS*1
asr_thouprob_comp_4~tau_AP*1
asr_attprob_comp_4~tau_AH*1
asr_rulebreak_comp_4~tau_AA*1
asr_aggress_comp_4~tau_AR*1
asr_intru_comp_4~tau_AG*1
#latent basis model
a_i =~ 1*a_etaB+1*a_eta2+1*a_eta4
a_s =~ 0*a_etaB+1*a_eta2+2*a_eta4
a_i~~NA*a_i
a_s~~NA*a_s
a_i~~a_s
a_i~1 + dummy_sex
a_s~1 + dummy_sex
a_etaB~0*1
a_eta2~0*1
a_eta4~0*1
# second-order g factor
#factor loadings # S & S2
g_etaB =~ 1*flanker_0+
lambda_R*pattern_0+
lambda_M*picture_0+
lambda_P*picvocab_0+
lambda_V*reading_0
g_eta2 =~ 1*flanker_2+
lambda_R*pattern_2+
lambda_M*picture_2+
lambda_P*picvocab_2+
lambda_V*reading_2
g_eta4 =~ 1*flanker_4+
lambda_R*pattern_4+
lambda_M*picture_4+
lambda_P*picvocab_4+
lambda_V*reading_4
g_eta6 =~ 1*flanker_6+
lambda_R*pattern_6+
lambda_M*picture_6+
lambda_P*picvocab_6+
lambda_V*reading_6
#latent variable variances
g_etaB~~NA*g_etaB
g_eta2~~NA*g_eta2
g_eta4~~NA*g_eta4
g_eta6~~NA*g_eta6
#unique variances
flanker_0~~flanker_0
flanker_2~~flanker_2
flanker_4~~flanker_4
flanker_6~~flanker_6
pattern_0~~pattern_0
pattern_2~~pattern_2
pattern_4~~pattern_4
pattern_6~~pattern_6
picture_0~~picture_0
picture_2~~picture_2
picture_4~~picture_4
picture_6~~picture_6
picvocab_0~~picvocab_0
picvocab_2~~picvocab_2
picvocab_4~~picvocab_4
picvocab_6~~picvocab_6
reading_0~~reading_0
reading_2~~reading_2
reading_4~~reading_4
reading_6~~reading_6
#unique covariances
# Task across times
flanker_0~~flanker_2 + flanker_4 + flanker_6
flanker_2~~flanker_4 + flanker_6
flanker_4~~flanker_6
pattern_0~~pattern_2 + pattern_4 + pattern_6
pattern_2~~pattern_4 + pattern_6
pattern_4~~pattern_6
picture_0~~picture_2 + picture_4 + picture_6
picture_2~~picture_4 + picture_6
picture_4~~picture_6
picvocab_0~~picvocab_2 + picvocab_4 + picvocab_6
picvocab_2~~picvocab_4 + picvocab_6
picvocab_4~~picvocab_6
reading_0~~reading_2 + reading_4 + reading_6
reading_2~~reading_4 + reading_6
reading_4~~reading_6
#Language
picvocab_0~~reading_0 + reading_2 + reading_4 + reading_6
picvocab_2~~reading_2 + reading_0 + reading_4 + reading_6
picvocab_4~~reading_4 + reading_0 + reading_2 + reading_6
picvocab_6~~reading_6 + reading_0 + reading_2 + reading_4
#observed variable intercepts # S & S2
flanker_0~tau_S*1
flanker_2~tau_S*1
flanker_4~tau_S*1
flanker_6~tau_S*1
pattern_0~tau_R*1
pattern_2~tau_R*1
pattern_4~tau_R*1
pattern_6~tau_R*1
picture_0~tau_M*1
picture_2~tau_M*1
picture_4~tau_M*1
picture_6~tau_M*1
picvocab_0~tau_P*1
picvocab_2~tau_P*1
picvocab_4~tau_P*1
picvocab_6~tau_P*1
reading_0~tau_V*1
reading_2~tau_V*1
reading_4~tau_V*1
reading_6~tau_V*1
#latent basis model
g_i =~ 1*g_etaB + 1*g_eta2 + 1*g_eta4 + 1*g_eta6
g_s =~ 0*g_etaB + 1*g_eta2 + 2*g_eta4 + 3*g_eta6
g_i~~NA*g_i
g_s~~NA*g_s
g_i~~g_s
g_i~1 + dummy_sex
g_s~1 + dummy_sex
g_etaB~0*1
g_eta2~0*1
g_eta4~0*1
g_eta6~0*1
# second-order puberty factor
#factor loadings
pu_etaB =~ 1*ph_p_pds_001_0 +
lambda_PR*ph_p_pds_002_0 +
lambda_PM*ph_p_pds_003_0
pu_eta1 =~ 1*ph_p_pds_001_1 +
lambda_PR*ph_p_pds_002_1 +
lambda_PM*ph_p_pds_003_1
pu_eta2 =~ 1*ph_p_pds_001_2 +
lambda_PR*ph_p_pds_002_2 +
lambda_PM*ph_p_pds_003_2
pu_eta3 =~ 1*ph_p_pds_001_3 +
lambda_PR*ph_p_pds_002_3 +
lambda_PM*ph_p_pds_003_3
pu_eta4 =~ 1*ph_p_pds_001_4 +
lambda_PR*ph_p_pds_002_4 +
lambda_PM*ph_p_pds_003_4
pu_eta5 =~ 1*ph_p_pds_001_5 +
lambda_PR*ph_p_pds_002_5 +
lambda_PM*ph_p_pds_003_5
pu_eta6 =~ 1*ph_p_pds_001_6 +
lambda_PR*ph_p_pds_002_6 +
lambda_PM*ph_p_pds_003_6
#latent variable variances
pu_etaB~~NA*pu_etaB
pu_eta1~~NA*pu_eta1
pu_eta2~~NA*pu_eta2
pu_eta3~~NA*pu_eta3
pu_eta4~~NA*pu_eta4
pu_eta5~~NA*pu_eta5
pu_eta6~~NA*pu_eta6
#unique variances
ph_p_pds_001_0 ~~ ph_p_pds_001_0
ph_p_pds_002_0 ~~ ph_p_pds_002_0
ph_p_pds_003_0 ~~ ph_p_pds_003_0
ph_p_pds_001_1 ~~ ph_p_pds_001_1
ph_p_pds_002_1 ~~ ph_p_pds_002_1
ph_p_pds_003_1 ~~ ph_p_pds_003_1
ph_p_pds_001_2 ~~ ph_p_pds_001_2
ph_p_pds_002_2 ~~ ph_p_pds_002_2
ph_p_pds_003_2 ~~ ph_p_pds_003_2
ph_p_pds_001_3 ~~ ph_p_pds_001_3
ph_p_pds_002_3 ~~ ph_p_pds_002_3
ph_p_pds_003_3 ~~ ph_p_pds_003_3
ph_p_pds_001_4 ~~ ph_p_pds_001_4
ph_p_pds_002_4 ~~ ph_p_pds_002_4
ph_p_pds_003_4 ~~ ph_p_pds_003_4
ph_p_pds_001_5 ~~ ph_p_pds_001_5
ph_p_pds_002_5 ~~ ph_p_pds_002_5
ph_p_pds_003_5 ~~ ph_p_pds_003_5
ph_p_pds_001_6 ~~ ph_p_pds_001_6
ph_p_pds_002_6 ~~ ph_p_pds_002_6
ph_p_pds_003_6 ~~ ph_p_pds_003_6
#unique covariances
ph_p_pds_001_0 ~~ ph_p_pds_001_1 + ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_1 ~~ ph_p_pds_001_2 + ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_2 ~~ ph_p_pds_001_3 + ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_3 ~~ ph_p_pds_001_4 + ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_4 ~~ ph_p_pds_001_5 + ph_p_pds_001_6
ph_p_pds_001_5 ~~ ph_p_pds_001_6
ph_p_pds_002_0 ~~ ph_p_pds_002_1 + ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_1 ~~ ph_p_pds_002_2 + ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_2 ~~ ph_p_pds_002_3 + ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_3 ~~ ph_p_pds_002_4 + ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_4 ~~ ph_p_pds_002_5 + ph_p_pds_002_6
ph_p_pds_002_5 ~~ ph_p_pds_002_6
ph_p_pds_003_0 ~~ ph_p_pds_003_1 + ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_1 ~~ ph_p_pds_003_2 + ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_2 ~~ ph_p_pds_003_3 + ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_3 ~~ ph_p_pds_003_4 + ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_4 ~~ ph_p_pds_003_5 + ph_p_pds_003_6
ph_p_pds_003_5 ~~ ph_p_pds_003_6
#observed variable intercepts
ph_p_pds_001_0 ~ tau_PS*1
ph_p_pds_001_1 ~ tau_PS*1
ph_p_pds_001_2 ~ tau_PS*1
ph_p_pds_001_3 ~ tau_PS*1
ph_p_pds_001_4 ~ tau_PS*1
ph_p_pds_001_5 ~ tau_PS*1
ph_p_pds_001_6 ~ tau_PS*1
ph_p_pds_002_0 ~ tau_PR*1
ph_p_pds_002_1 ~ tau_PR*1
ph_p_pds_002_2 ~ tau_PR*1
ph_p_pds_002_3 ~ tau_PR*1
ph_p_pds_002_4 ~ tau_PR*1
ph_p_pds_002_5 ~ tau_PR*1
ph_p_pds_002_6 ~ tau_PR*1
ph_p_pds_003_0 ~ tau_PM*1
ph_p_pds_003_1 ~ tau_PM*1
ph_p_pds_003_2 ~ tau_PM*1
ph_p_pds_003_3 ~ tau_PM*1
ph_p_pds_003_4 ~ tau_PM*1
ph_p_pds_003_5 ~ tau_PM*1
ph_p_pds_003_6 ~ tau_PM*1
#latent basis model
pu_i =~ 1*pu_etaB + 1*pu_eta1 + 1*pu_eta2 + 1*pu_eta3 + 1*pu_eta4 + 1*pu_eta5 + 1*pu_eta6
pu_s =~ 0*pu_etaB + 0.5*pu_eta1 + 1*pu_eta2 + 1.5*pu_eta3 + 2*pu_eta4 + 2.5*pu_eta5 + 3*pu_eta6
pu_q =~ 0*pu_etaB + 0.25*pu_eta1 + 1*pu_eta2 + 2.25*pu_eta3 + 4*pu_eta4 + 6.25*pu_eta5 + 9*pu_eta6
pu_i~~NA*pu_i
pu_s~~NA*pu_s
pu_q~~NA*pu_q
pu_i~~pu_s + pu_q
pu_s~~pu_q
pu_i~1 + dummy_sex
pu_s~1 + dummy_sex
pu_q~1 + dummy_sex
pu_etaB~0*1
pu_eta1~0*1
pu_eta2~0*1
pu_eta3~0*1
pu_eta4~0*1
pu_eta5~0*1
pu_eta6~0*1
# Internalizing model
p_i =~ 1*Int_comp_0 + 1*Int_comp_1 + 1*Int_comp_2 + 1*Int_comp_3 + 1*Int_comp_4 + 1*Int_comp_5 + 1*Int_comp_6
p_s =~ 0*Int_comp_0 + .5*Int_comp_1 + 1*Int_comp_2 + 1.5*Int_comp_3 + 2*Int_comp_4 + 2.5*Int_comp_5 + 3*Int_comp_6
p_q =~ 0*Int_comp_0 + .25*Int_comp_1 + 1*Int_comp_2 + 2.25*Int_comp_3 + 4*Int_comp_4 + 6.25*Int_comp_5 + 9*Int_comp_6
p_i~~NA*p_i
p_s~~NA*p_s
p_q~~NA*p_q
p_i~~p_s + p_q
p_s~~p_q
p_i~1 + dummy_sex
p_s~1 + dummy_sex
p_q~1 + dummy_sex
Int_comp_0 ~~ NA*Int_comp_0
Int_comp_1 ~~ NA*Int_comp_1
Int_comp_2 ~~ NA*Int_comp_2
Int_comp_3 ~~ NA*Int_comp_3
Int_comp_4 ~~ NA*Int_comp_4
Int_comp_5 ~~ NA*Int_comp_5
Int_comp_6 ~~ NA*Int_comp_6
Int_comp_0 ~ 0*1
Int_comp_1 ~ 0*1
Int_comp_2 ~ 0*1
Int_comp_3 ~ 0*1
Int_comp_4 ~ 0*1
Int_comp_5 ~ 0*1
Int_comp_6 ~ 0*1
# regression
p_i ~ g_i + a_i + pu_i
p_s ~ g_i + g_s + a_i + a_s + pu_i + pu_s + pu_q
p_q ~ g_i + g_s + a_i + a_s + pu_i + pu_s + pu_q
lavaan(Int.pga_pu6.sex.model,
data = readRDS("pga6_all_data_sex.rds"),
meanstructure = TRUE,
estimator = "ML",
missing = "fiml",
fixed.x = T,
std.lv = T
) %>%
saveRDS("pgcm_Int_pga_pu6_sex_model.rds")result
readRDS("pgcm_Int_pga_pu6_sex_model.rds") %>%
summary(
std = T,
fit.measures = TRUE,
rsq = T
) %>%
saveRDS("pgcm_Int_pga_pu6_sex_result.rds")# Check for Haywood case
eigen(inspect(readRDS("pgcm_Int_pga_pu6_sex_model.rds"), "cor.lv"))$value [1] 5.942091026 4.746105053 3.876523840 2.419837580 2.246679982 0.969015904
[7] 0.942657463 0.670618822 0.505330318 0.227635470 0.217510227 0.198560158
[13] 0.188207466 0.158237667 0.154725393 0.128552373 0.095445901 0.088727282
[19] 0.080053096 0.059763781 0.039961825 0.024636482 0.016578654 0.002544238
readRDS("pgcm_Int_pga_pu6_sex_result.rds")lavaan 0.6-19 ended normally after 297 iterations
Estimator ML
Optimization method NLMINB
Number of model parameters 444
Number of equality constraints 87
Number of observations 11867
Number of missing patterns 2191
Model Test User Model:
Test statistic 23578.211
Degrees of freedom 2415
P-value (Chi-square) 0.000
Model Test Baseline Model:
Test statistic 420003.159
Degrees of freedom 2628
P-value 0.000
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.949
Tucker-Lewis Index (TLI) 0.945
Robust Comparative Fit Index (CFI) 0.945
Robust Tucker-Lewis Index (TLI) 0.940
Loglikelihood and Information Criteria:
Loglikelihood user model (H0) -717859.919
Loglikelihood unrestricted model (H1) -706070.813
Akaike (AIC) 1436433.838
Bayesian (BIC) 1439069.039
Sample-size adjusted Bayesian (SABIC) 1437934.534
Root Mean Square Error of Approximation:
RMSEA 0.027
90 Percent confidence interval - lower 0.027
90 Percent confidence interval - upper 0.027
P-value H_0: RMSEA <= 0.050 1.000
P-value H_0: RMSEA >= 0.080 0.000
Robust RMSEA 0.032
90 Percent confidence interval - lower 0.032
90 Percent confidence interval - upper 0.033
P-value H_0: Robust RMSEA <= 0.050 1.000
P-value H_0: Robust RMSEA >= 0.080 0.000
Standardized Root Mean Square Residual:
SRMR 0.052
Parameter Estimates:
Standard errors Standard
Information Observed
Observed information based on Hessian
Latent Variables:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_etaB =~
asr___0 1.000 0.851 0.844
asr___0 (l_AW) 0.887 0.007 127.138 0.000 0.755 0.737
asr___0 (l_AS) 0.799 0.007 112.979 0.000 0.680 0.680
asr___0 (l_AC) 0.914 0.007 125.316 0.000 0.778 0.746
asr___0 (l_AH) 0.897 0.007 131.639 0.000 0.764 0.766
asr___0 (l_AA) 0.763 0.008 97.362 0.000 0.649 0.621
asr___0 (l_AR) 0.905 0.007 125.124 0.000 0.770 0.751
asr___0 (l_AG) 0.476 0.008 59.069 0.000 0.405 0.392
a_eta2 =~
asr___2 1.000 0.840 0.828
asr___2 (l_AW) 0.887 0.007 127.138 0.000 0.745 0.734
asr___2 (l_AS) 0.799 0.007 112.979 0.000 0.671 0.671
asr___2 (l_AC) 0.914 0.007 125.316 0.000 0.767 0.764
asr___2 (l_AH) 0.897 0.007 131.639 0.000 0.753 0.772
asr___2 (l_AA) 0.763 0.008 97.362 0.000 0.640 0.633
asr___2 (l_AR) 0.905 0.007 125.124 0.000 0.760 0.751
asr___2 (l_AG) 0.476 0.008 59.069 0.000 0.399 0.402
a_eta4 =~
asr___4 1.000 0.810 0.814
asr___4 (l_AW) 0.887 0.007 127.138 0.000 0.718 0.730
asr___4 (l_AS) 0.799 0.007 112.979 0.000 0.647 0.660
asr___4 (l_AC) 0.914 0.007 125.316 0.000 0.740 0.763
asr___4 (l_AH) 0.897 0.007 131.639 0.000 0.726 0.746
asr___4 (l_AA) 0.763 0.008 97.362 0.000 0.617 0.633
asr___4 (l_AR) 0.905 0.007 125.124 0.000 0.732 0.746
asr___4 (l_AG) 0.476 0.008 59.069 0.000 0.385 0.393
a_i =~
a_etaB 1.000 0.923 0.923
a_eta2 1.000 0.936 0.936
a_eta4 1.000 0.970 0.970
a_s =~
a_etaB 0.000 0.000 0.000
a_eta2 1.000 0.299 0.299
a_eta4 2.000 0.621 0.621
g_etaB =~
flnkr_0 1.000 0.403 0.438
pttrn_0 (lm_R) 1.220 0.011 112.455 0.000 0.492 0.647
pictr_0 (lm_M) 0.598 0.009 64.681 0.000 0.241 0.286
pcvcb_0 (lm_P) 0.930 0.009 107.662 0.000 0.375 0.447
redng_0 (lm_V) 0.982 0.009 111.348 0.000 0.395 0.462
g_eta2 =~
flnkr_2 1.000 0.412 0.516
pttrn_2 (lm_R) 1.220 0.011 112.455 0.000 0.502 0.654
pictr_2 (lm_M) 0.598 0.009 64.681 0.000 0.246 0.276
pcvcb_2 (lm_P) 0.930 0.009 107.662 0.000 0.383 0.437
redng_2 (lm_V) 0.982 0.009 111.348 0.000 0.404 0.479
g_eta4 =~
flnkr_4 1.000 0.441 0.556
pttrn_4 (lm_R) 1.220 0.011 112.455 0.000 0.539 0.656
pictr_4 (lm_M) 0.598 0.009 64.681 0.000 0.264 0.249
pcvcb_4 (lm_P) 0.930 0.009 107.662 0.000 0.410 0.444
redng_4 (lm_V) 0.982 0.009 111.348 0.000 0.433 0.469
g_eta6 =~
flnkr_6 1.000 0.494 0.608
pttrn_6 (lm_R) 1.220 0.011 112.455 0.000 0.603 0.706
pictr_6 (lm_M) 0.598 0.009 64.681 0.000 0.296 0.279
pcvcb_6 (lm_P) 0.930 0.009 107.662 0.000 0.460 0.492
redng_6 (lm_V) 0.982 0.009 111.348 0.000 0.485 0.500
g_i =~
g_etaB 1.000 0.962 0.962
g_eta2 1.000 0.941 0.941
g_eta4 1.000 0.878 0.878
g_eta6 1.000 0.784 0.784
g_s =~
g_etaB 0.000 0.000 0.000
g_eta2 1.000 0.125 0.125
g_eta4 2.000 0.233 0.233
g_eta6 3.000 0.313 0.313
pu_etaB =~
p___001 1.000 0.441 0.396
p___002 (l_PR) 1.343 0.010 141.257 0.000 0.593 0.730
p___003 (l_PM) 1.253 0.009 136.297 0.000 0.553 0.694
pu_eta1 =~
p___001 1.000 0.483 0.471
p___002 (l_PR) 1.343 0.010 141.257 0.000 0.648 0.758
p___003 (l_PM) 1.253 0.009 136.297 0.000 0.605 0.685
pu_eta2 =~
p___001 1.000 0.497 0.535
p___002 (l_PR) 1.343 0.010 141.257 0.000 0.667 0.787
p___003 (l_PM) 1.253 0.009 136.297 0.000 0.622 0.692
pu_eta3 =~
p___001 1.000 0.495 0.586
p___002 (l_PR) 1.343 0.010 141.257 0.000 0.665 0.831
p___003 (l_PM) 1.253 0.009 136.297 0.000 0.620 0.713
pu_eta4 =~
p___001 1.000 0.464 0.615
p___002 (l_PR) 1.343 0.010 141.257 0.000 0.623 0.864
p___003 (l_PM) 1.253 0.009 136.297 0.000 0.581 0.725
pu_eta5 =~
p___001 1.000 0.402 0.576
p___002 (l_PR) 1.343 0.010 141.257 0.000 0.541 0.860
p___003 (l_PM) 1.253 0.009 136.297 0.000 0.504 0.699
pu_eta6 =~
p___001 1.000 0.349 0.519
p___002 (l_PR) 1.343 0.010 141.257 0.000 0.469 0.846
p___003 (l_PM) 1.253 0.009 136.297 0.000 0.437 0.659
pu_i =~
pu_etaB 1.000 0.974 0.974
pu_eta1 1.000 0.890 0.890
pu_eta2 1.000 0.865 0.865
pu_eta3 1.000 0.868 0.868
pu_eta4 1.000 0.927 0.927
pu_eta5 1.000 1.068 1.068
pu_eta6 1.000 1.231 1.231
pu_s =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.500 0.413 0.413
pu_eta2 1.000 0.802 0.802
pu_eta3 1.500 1.208 1.208
pu_eta4 2.000 1.719 1.719
pu_eta5 2.500 2.475 2.475
pu_eta6 3.000 3.423 3.423
pu_q =~
pu_etaB 0.000 0.000 0.000
pu_eta1 0.250 0.062 0.062
pu_eta2 1.000 0.240 0.240
pu_eta3 2.250 0.542 0.542
pu_eta4 4.000 1.028 1.028
pu_eta5 6.250 1.850 1.850
pu_eta6 9.000 3.070 3.070
p_i =~
Int_c_0 1.000 0.802 0.884
Int_c_1 1.000 0.802 0.851
Int_c_2 1.000 0.802 0.822
Int_c_3 1.000 0.802 0.786
Int_c_4 1.000 0.802 0.757
Int_c_5 1.000 0.802 0.716
Int_c_6 1.000 0.802 0.697
p_s =~
Int_c_0 0.000 0.000 0.000
Int_c_1 0.500 0.308 0.327
Int_c_2 1.000 0.617 0.632
Int_c_3 1.500 0.925 0.906
Int_c_4 2.000 1.234 1.164
Int_c_5 2.500 1.542 1.376
Int_c_6 3.000 1.851 1.608
p_q =~
Int_c_0 0.000 0.000 0.000
Int_c_1 0.250 0.046 0.049
Int_c_2 1.000 0.183 0.188
Int_c_3 2.250 0.413 0.404
Int_c_4 4.000 0.733 0.692
Int_c_5 6.250 1.146 1.022
Int_c_6 9.000 1.650 1.434
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
a_i ~
dummy_sex 0.031 0.016 1.924 0.054 0.040 0.020
a_s ~
dummy_sex -0.014 0.007 -1.982 0.047 -0.058 -0.029
g_i ~
dummy_sex -0.041 0.009 -4.417 0.000 -0.105 -0.053
g_s ~
dummy_sex 0.004 0.003 1.135 0.256 0.076 0.038
pu_i ~
dummy_sex -0.273 0.010 -28.321 0.000 -0.636 -0.318
pu_s ~
dummy_sex -0.220 0.011 -19.414 0.000 -0.553 -0.276
pu_q ~
dummy_sex 0.062 0.004 16.909 0.000 0.518 0.259
p_i ~
dummy_sex 0.024 0.015 1.532 0.125 0.029 0.015
p_s ~
dummy_sex -0.076 0.025 -3.035 0.002 -0.124 -0.062
p_q ~
dummy_sex -0.011 0.009 -1.307 0.191 -0.062 -0.031
p_i ~
g_i -0.024 0.022 -1.069 0.285 -0.011 -0.011
a_i 0.671 0.011 59.540 0.000 0.657 0.657
pu_i 0.046 0.021 2.177 0.030 0.025 0.025
p_s ~
g_i 0.125 0.038 3.250 0.001 0.078 0.078
g_s -0.223 0.583 -0.383 0.701 -0.019 -0.019
a_i 0.089 0.016 5.652 0.000 0.113 0.113
a_s 1.591 0.083 19.065 0.000 0.648 0.648
pu_i 0.040 0.053 0.760 0.447 0.028 0.028
pu_s 0.046 0.142 0.320 0.749 0.029 0.029
pu_q -0.078 0.492 -0.158 0.874 -0.015 -0.015
p_q ~
g_i -0.044 0.014 -3.185 0.001 -0.094 -0.094
g_s 0.181 0.215 0.844 0.399 0.051 0.051
a_i -0.018 0.005 -3.510 0.000 -0.077 -0.077
a_s -0.356 0.025 -14.301 0.000 -0.489 -0.489
pu_i 0.005 0.019 0.242 0.809 0.011 0.011
pu_s 0.067 0.050 1.336 0.182 0.146 0.146
pu_q 0.263 0.173 1.519 0.129 0.171 0.171
Covariances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr_anxdep_comp_0 ~~
.asr_nxdp_cmp_2 0.166 0.005 34.752 0.000 0.166 0.540
.asr_nxdp_cmp_4 0.151 0.005 30.747 0.000 0.151 0.483
.asr_anxdep_comp_2 ~~
.asr_nxdp_cmp_4 0.185 0.005 35.258 0.000 0.185 0.565
.asr_withdep_comp_0 ~~
.asr_wthdp_cm_2 0.223 0.006 36.502 0.000 0.223 0.467
.asr_wthdp_cm_4 0.201 0.006 32.613 0.000 0.201 0.433
.asr_withdep_comp_2 ~~
.asr_wthdp_cm_4 0.219 0.006 34.804 0.000 0.219 0.472
.asr_soma_comp_0 ~~
.asr_soma_cmp_2 0.265 0.007 39.941 0.000 0.265 0.488
.asr_soma_cmp_4 0.230 0.007 34.105 0.000 0.230 0.425
.asr_soma_comp_2 ~~
.asr_soma_cmp_4 0.272 0.007 38.264 0.000 0.272 0.498
.asr_thouprob_comp_0 ~~
.asr_thprb_cm_2 0.199 0.005 36.253 0.000 0.199 0.444
.asr_thprb_cm_4 0.167 0.006 30.308 0.000 0.167 0.385
.asr_thouprob_comp_2 ~~
.asr_thprb_cm_4 0.175 0.005 32.861 0.000 0.175 0.432
.asr_attprob_comp_0 ~~
.asr_ttprb_cm_2 0.255 0.005 48.763 0.000 0.255 0.644
.asr_ttprb_cm_4 0.248 0.006 45.069 0.000 0.248 0.599
.asr_attprob_comp_2 ~~
.asr_ttprb_cm_4 0.267 0.006 47.823 0.000 0.267 0.666
.asr_rulebreak_comp_0 ~~
.asr_rlbrk_cm_2 0.313 0.007 42.061 0.000 0.313 0.488
.asr_rlbrk_cm_4 0.269 0.007 36.524 0.000 0.269 0.434
.asr_rulebreak_comp_2 ~~
.asr_rlbrk_cm_4 0.292 0.007 39.459 0.000 0.292 0.493
.asr_aggress_comp_0 ~~
.asr_ggrss_cm_2 0.252 0.006 44.254 0.000 0.252 0.558
.asr_ggrss_cm_4 0.228 0.006 40.134 0.000 0.228 0.514
.asr_aggress_comp_2 ~~
.asr_ggrss_cm_4 0.257 0.006 43.690 0.000 0.257 0.590
.asr_intru_comp_0 ~~
.asr_intr_cmp_2 0.500 0.010 52.016 0.000 0.500 0.578
.asr_intr_cmp_4 0.469 0.010 48.109 0.000 0.469 0.547
.asr_intru_comp_2 ~~
.asr_intr_cmp_4 0.479 0.010 49.834 0.000 0.479 0.584
.asr_anxdep_comp_0 ~~
.asr_wthdp_cm_0 0.007 0.005 1.501 0.133 0.007 0.020
.asr_soma_cmp_0 0.011 0.005 2.220 0.026 0.011 0.028
.asr_wthdp_cm_2 0.010 0.005 2.087 0.037 0.010 0.027
.asr_soma_cmp_2 0.020 0.005 3.900 0.000 0.020 0.049
.asr_wthdp_cm_4 0.008 0.005 1.654 0.098 0.008 0.022
.asr_soma_cmp_4 0.019 0.005 3.516 0.000 0.019 0.046
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_2 -0.001 0.005 -0.152 0.879 -0.001 -0.002
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_2 0.013 0.005 2.468 0.014 0.013 0.030
.asr_anxdep_comp_2 ~~
.asr_wthdp_cm_2 0.024 0.005 4.737 0.000 0.024 0.062
.asr_soma_cmp_2 0.031 0.005 5.836 0.000 0.031 0.074
.asr_wthdp_cm_4 0.011 0.005 2.147 0.032 0.011 0.029
.asr_soma_cmp_4 0.014 0.005 2.565 0.010 0.014 0.033
.asr_withdep_comp_0 ~~
.asr_nxdp_cmp_4 -0.008 0.005 -1.528 0.126 -0.008 -0.020
.asr_soma_comp_0 ~~
.asr_nxdp_cmp_4 0.012 0.005 2.329 0.020 0.012 0.029
.asr_withdep_comp_2 ~~
.asr_nxdp_cmp_4 0.006 0.005 1.223 0.221 0.006 0.016
.asr_soma_comp_2 ~~
.asr_nxdp_cmp_4 0.029 0.006 5.262 0.000 0.029 0.068
.asr_anxdep_comp_4 ~~
.asr_wthdp_cm_4 0.027 0.005 5.060 0.000 0.027 0.071
.asr_soma_cmp_4 0.043 0.006 7.394 0.000 0.043 0.100
.asr_withdep_comp_0 ~~
.asr_soma_cmp_0 -0.042 0.006 -7.469 0.000 -0.042 -0.083
.asr_soma_cmp_2 -0.028 0.006 -4.883 0.000 -0.028 -0.055
.asr_soma_cmp_4 -0.043 0.006 -7.022 0.000 -0.043 -0.084
.asr_soma_comp_0 ~~
.asr_wthdp_cm_2 -0.022 0.006 -3.819 0.000 -0.022 -0.043
.asr_withdep_comp_2 ~~
.asr_soma_cmp_2 -0.025 0.006 -4.205 0.000 -0.025 -0.048
.asr_soma_cmp_4 -0.031 0.006 -5.033 0.000 -0.031 -0.060
.asr_soma_comp_0 ~~
.asr_wthdp_cm_4 -0.024 0.006 -4.103 0.000 -0.024 -0.049
.asr_soma_comp_2 ~~
.asr_wthdp_cm_4 -0.030 0.006 -4.969 0.000 -0.030 -0.060
.asr_withdep_comp_4 ~~
.asr_soma_cmp_4 -0.032 0.006 -5.314 0.000 -0.032 -0.065
.asr_aggress_comp_0 ~~
.asr_intr_cmp_0 0.140 0.007 20.614 0.000 0.140 0.218
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_0 0.084 0.006 13.890 0.000 0.084 0.151
.asr_aggress_comp_0 ~~
.asr_intr_cmp_2 0.091 0.007 13.940 0.000 0.091 0.148
.asr_rlbrk_cm_2 0.033 0.006 5.650 0.000 0.033 0.062
.asr_intr_cmp_4 0.100 0.007 14.775 0.000 0.100 0.163
.asr_rlbrk_cm_4 0.040 0.006 6.765 0.000 0.040 0.078
.asr_intru_comp_0 ~~
.asr_ggrss_cm_2 0.100 0.007 14.948 0.000 0.100 0.158
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_2 0.059 0.006 9.854 0.000 0.059 0.108
.asr_aggress_comp_2 ~~
.asr_intr_cmp_2 0.144 0.007 21.593 0.000 0.144 0.237
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_2 0.054 0.006 9.276 0.000 0.054 0.104
.asr_aggress_comp_2 ~~
.asr_intr_cmp_4 0.115 0.007 16.874 0.000 0.115 0.191
.asr_rlbrk_cm_4 0.052 0.006 8.721 0.000 0.052 0.103
.asr_intru_comp_0 ~~
.asr_ggrss_cm_4 0.102 0.007 14.875 0.000 0.102 0.165
.asr_rulebreak_comp_0 ~~
.asr_ggrss_cm_4 0.064 0.006 10.443 0.000 0.064 0.120
.asr_intru_comp_2 ~~
.asr_ggrss_cm_4 0.109 0.007 16.286 0.000 0.109 0.184
.asr_rulebreak_comp_2 ~~
.asr_ggrss_cm_4 0.055 0.006 9.151 0.000 0.055 0.108
.asr_aggress_comp_4 ~~
.asr_intr_cmp_4 0.146 0.007 21.176 0.000 0.146 0.248
.asr_rulebreak_comp_4 ~~
.asr_ggrss_cm_4 0.075 0.006 12.425 0.000 0.075 0.151
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_0 0.128 0.008 16.408 0.000 0.128 0.164
.asr_intru_comp_0 ~~
.asr_rlbrk_cm_2 0.074 0.008 9.803 0.000 0.074 0.099
.asr_rlbrk_cm_4 0.079 0.008 10.233 0.000 0.079 0.110
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_2 0.078 0.008 10.275 0.000 0.078 0.105
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_2 0.119 0.007 15.981 0.000 0.119 0.167
.asr_intru_comp_2 ~~
.asr_rlbrk_cm_4 0.078 0.007 10.388 0.000 0.078 0.113
.asr_rulebreak_comp_0 ~~
.asr_intr_cmp_4 0.092 0.008 11.684 0.000 0.092 0.124
.asr_rulebreak_comp_2 ~~
.asr_intr_cmp_4 0.085 0.008 11.077 0.000 0.085 0.121
.asr_rulebreak_comp_4 ~~
.asr_intr_cmp_4 0.118 0.008 15.572 0.000 0.118 0.174
.a_i ~~
.a_s -0.080 0.005 -17.646 0.000 -0.403 -0.403
.flanker_0 ~~
.flanker_2 0.139 0.007 18.883 0.000 0.139 0.246
.flanker_4 0.100 0.008 13.251 0.000 0.100 0.182
.flanker_6 0.088 0.009 9.469 0.000 0.088 0.164
.flanker_2 ~~
.flanker_4 0.146 0.007 20.018 0.000 0.146 0.323
.flanker_6 0.103 0.008 12.712 0.000 0.103 0.234
.flanker_4 ~~
.flanker_6 0.154 0.009 16.948 0.000 0.154 0.360
.pattern_0 ~~
.pattern_2 0.072 0.005 13.108 0.000 0.072 0.213
.pattern_4 0.038 0.006 6.483 0.000 0.038 0.107
.pattern_6 0.031 0.007 4.414 0.000 0.031 0.090
.pattern_2 ~~
.pattern_4 0.103 0.007 15.041 0.000 0.103 0.286
.pattern_6 0.072 0.008 9.609 0.000 0.072 0.206
.pattern_4 ~~
.pattern_6 0.125 0.009 14.008 0.000 0.125 0.334
.picture_0 ~~
.picture_2 0.253 0.007 33.976 0.000 0.253 0.365
.picture_4 0.259 0.009 28.224 0.000 0.259 0.312
.picture_6 0.284 0.012 23.696 0.000 0.284 0.345
.picture_2 ~~
.picture_4 0.288 0.010 28.231 0.000 0.288 0.327
.picture_6 0.269 0.013 20.037 0.000 0.269 0.308
.picture_4 ~~
.picture_6 0.393 0.016 24.836 0.000 0.393 0.375
.picvocab_0 ~~
.picvocab_2 0.400 0.008 53.264 0.000 0.400 0.678
.picvocab_4 0.403 0.008 50.725 0.000 0.403 0.649
.picvocab_6 0.382 0.009 43.325 0.000 0.382 0.627
.picvocab_2 ~~
.picvocab_4 0.475 0.009 54.102 0.000 0.475 0.728
.picvocab_6 0.462 0.010 47.507 0.000 0.462 0.721
.picvocab_4 ~~
.picvocab_6 0.511 0.011 48.408 0.000 0.511 0.757
.reading_0 ~~
.reading_2 0.407 0.007 55.027 0.000 0.407 0.723
.reading_4 0.410 0.008 50.861 0.000 0.410 0.663
.reading_6 0.419 0.010 43.662 0.000 0.419 0.658
.reading_2 ~~
.reading_4 0.419 0.008 51.359 0.000 0.419 0.694
.reading_6 0.436 0.010 45.359 0.000 0.436 0.700
.reading_4 ~~
.reading_6 0.459 0.011 42.970 0.000 0.459 0.670
.picvocab_0 ~~
.reading_0 0.235 0.007 36.094 0.000 0.235 0.414
.reading_2 0.248 0.007 37.773 0.000 0.248 0.447
.reading_4 0.266 0.007 36.313 0.000 0.266 0.436
.reading_6 0.285 0.009 32.241 0.000 0.285 0.453
.picvocab_2 ~~
.reading_2 0.291 0.007 40.580 0.000 0.291 0.499
.reading_0 ~~
.picvocab_2 0.270 0.007 38.457 0.000 0.270 0.452
.picvocab_2 ~~
.reading_4 0.316 0.008 39.634 0.000 0.316 0.493
.reading_6 0.341 0.010 35.561 0.000 0.341 0.517
.picvocab_4 ~~
.reading_4 0.340 0.009 38.993 0.000 0.340 0.503
.reading_0 ~~
.picvocab_4 0.278 0.008 36.898 0.000 0.278 0.442
.reading_2 ~~
.picvocab_4 0.303 0.008 39.511 0.000 0.303 0.493
.picvocab_4 ~~
.reading_6 0.370 0.010 35.700 0.000 0.370 0.531
.picvocab_6 ~~
.reading_6 0.363 0.011 32.333 0.000 0.363 0.532
.reading_0 ~~
.picvocab_6 0.259 0.009 30.036 0.000 0.259 0.419
.reading_2 ~~
.picvocab_6 0.287 0.009 33.180 0.000 0.287 0.476
.reading_4 ~~
.picvocab_6 0.325 0.010 33.463 0.000 0.325 0.490
.g_i ~~
.g_s 0.004 0.001 3.541 0.000 0.214 0.214
.ph_p_pds_001_0 ~~
.ph_p_pds_001_1 0.425 0.011 40.345 0.000 0.425 0.459
.ph_p_pds_001_2 0.253 0.009 28.506 0.000 0.253 0.314
.ph_p_pds_001_3 0.135 0.008 17.351 0.000 0.135 0.193
.ph_p_pds_001_4 0.051 0.007 7.325 0.000 0.051 0.084
.ph_p_pds_001_5 0.026 0.007 3.729 0.000 0.026 0.044
.ph_p_pds_001_6 0.021 0.009 2.343 0.019 0.021 0.035
.ph_p_pds_001_1 ~~
.ph_p_pds_001_2 0.297 0.008 36.414 0.000 0.297 0.418
.ph_p_pds_001_3 0.168 0.007 23.670 0.000 0.168 0.271
.ph_p_pds_001_4 0.070 0.006 11.228 0.000 0.070 0.130
.ph_p_pds_001_5 0.033 0.006 5.425 0.000 0.033 0.064
.ph_p_pds_001_6 0.017 0.008 2.188 0.029 0.017 0.033
.ph_p_pds_001_2 ~~
.ph_p_pds_001_3 0.216 0.006 33.330 0.000 0.216 0.402
.ph_p_pds_001_4 0.093 0.005 16.967 0.000 0.093 0.200
.ph_p_pds_001_5 0.039 0.005 7.393 0.000 0.039 0.088
.ph_p_pds_001_6 0.025 0.007 3.704 0.000 0.025 0.056
.ph_p_pds_001_3 ~~
.ph_p_pds_001_4 0.121 0.005 24.118 0.000 0.121 0.298
.ph_p_pds_001_5 0.061 0.005 12.658 0.000 0.061 0.155
.ph_p_pds_001_6 0.033 0.006 5.547 0.000 0.033 0.084
.ph_p_pds_001_4 ~~
.ph_p_pds_001_5 0.132 0.004 29.505 0.000 0.132 0.388
.ph_p_pds_001_6 0.079 0.006 14.239 0.000 0.079 0.232
.ph_p_pds_001_5 ~~
.ph_p_pds_001_6 0.135 0.005 24.616 0.000 0.135 0.412
.ph_p_pds_002_0 ~~
.ph_p_pds_002_1 0.111 0.005 20.666 0.000 0.111 0.358
.ph_p_pds_002_2 0.047 0.005 9.869 0.000 0.047 0.163
.ph_p_pds_002_3 0.016 0.004 3.751 0.000 0.016 0.066
.ph_p_pds_002_4 0.002 0.004 0.423 0.672 0.002 0.008
.ph_p_pds_002_5 -0.005 0.003 -1.402 0.161 -0.005 -0.028
.ph_p_pds_002_6 -0.006 0.004 -1.306 0.192 -0.006 -0.035
.ph_p_pds_002_1 ~~
.ph_p_pds_002_2 0.109 0.005 21.248 0.000 0.109 0.373
.ph_p_pds_002_3 0.043 0.004 9.572 0.000 0.043 0.173
.ph_p_pds_002_4 -0.000 0.004 -0.027 0.979 -0.000 -0.001
.ph_p_pds_002_5 -0.005 0.004 -1.276 0.202 -0.005 -0.025
.ph_p_pds_002_6 0.014 0.004 3.200 0.001 0.014 0.084
.ph_p_pds_002_2 ~~
.ph_p_pds_002_3 0.083 0.005 18.342 0.000 0.083 0.358
.ph_p_pds_002_4 0.014 0.004 3.644 0.000 0.014 0.074
.ph_p_pds_002_5 -0.005 0.003 -1.427 0.154 -0.005 -0.029
.ph_p_pds_002_6 0.017 0.004 4.072 0.000 0.017 0.108
.ph_p_pds_002_3 ~~
.ph_p_pds_002_4 0.031 0.004 8.641 0.000 0.031 0.192
.ph_p_pds_002_5 0.006 0.003 1.748 0.080 0.006 0.039
.ph_p_pds_002_6 0.018 0.004 4.827 0.000 0.018 0.134
.ph_p_pds_002_4 ~~
.ph_p_pds_002_5 0.024 0.003 8.334 0.000 0.024 0.208
.ph_p_pds_002_6 0.010 0.003 2.957 0.003 0.010 0.092
.ph_p_pds_002_5 ~~
.ph_p_pds_002_6 0.014 0.003 4.578 0.000 0.014 0.153
.ph_p_pds_003_0 ~~
.ph_p_pds_003_1 0.141 0.005 26.166 0.000 0.141 0.382
.ph_p_pds_003_2 0.089 0.005 17.728 0.000 0.089 0.240
.ph_p_pds_003_3 0.053 0.005 11.292 0.000 0.053 0.152
.ph_p_pds_003_4 0.025 0.004 5.652 0.000 0.025 0.079
.ph_p_pds_003_5 0.026 0.004 6.235 0.000 0.026 0.089
.ph_p_pds_003_6 0.014 0.005 2.643 0.008 0.014 0.048
.ph_p_pds_003_1 ~~
.ph_p_pds_003_2 0.173 0.006 30.384 0.000 0.173 0.415
.ph_p_pds_003_3 0.097 0.005 18.533 0.000 0.097 0.248
.ph_p_pds_003_4 0.035 0.005 7.410 0.000 0.035 0.100
.ph_p_pds_003_5 0.021 0.005 4.495 0.000 0.021 0.062
.ph_p_pds_003_6 0.014 0.006 2.483 0.013 0.014 0.044
.ph_p_pds_003_2 ~~
.ph_p_pds_003_3 0.169 0.005 30.941 0.000 0.169 0.427
.ph_p_pds_003_4 0.078 0.005 15.965 0.000 0.078 0.218
.ph_p_pds_003_5 0.049 0.005 10.549 0.000 0.049 0.146
.ph_p_pds_003_6 0.027 0.006 4.812 0.000 0.027 0.084
.ph_p_pds_003_3 ~~
.ph_p_pds_003_4 0.121 0.005 25.237 0.000 0.121 0.359
.ph_p_pds_003_5 0.070 0.004 15.781 0.000 0.070 0.222
.ph_p_pds_003_6 0.052 0.005 9.786 0.000 0.052 0.171
.ph_p_pds_003_4 ~~
.ph_p_pds_003_5 0.104 0.004 24.158 0.000 0.104 0.364
.ph_p_pds_003_6 0.080 0.005 15.933 0.000 0.080 0.292
.ph_p_pds_003_5 ~~
.ph_p_pds_003_6 0.090 0.005 18.951 0.000 0.090 0.350
.pu_i ~~
.pu_s -0.047 0.005 -10.417 0.000 -0.301 -0.301
.pu_q -0.002 0.001 -1.373 0.170 -0.038 -0.038
.pu_s ~~
.pu_q -0.040 0.002 -20.732 0.000 -0.912 -0.912
.p_i ~~
.p_s -0.067 0.010 -6.659 0.000 -0.232 -0.232
.p_q 0.008 0.003 2.471 0.013 0.081 0.081
.p_s ~~
.p_q -0.066 0.005 -12.480 0.000 -0.857 -0.857
Intercepts:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.asr___0 (t_AX) -0.006 0.004 -1.402 0.161 -0.006 -0.006
.asr___0 (t_AW) 0.002 0.005 0.327 0.744 0.002 0.002
.asr___0 (t_AS) -0.003 0.005 -0.494 0.622 -0.003 -0.003
.asr___0 (t_AP) -0.001 0.005 -0.186 0.853 -0.001 -0.001
.asr___0 (t_AH) -0.001 0.005 -0.173 0.863 -0.001 -0.001
.asr___0 (t_AA) 0.006 0.006 0.995 0.320 0.006 0.005
.asr___0 (t_AR) 0.000 0.005 0.078 0.938 0.000 0.000
.asr___0 (t_AG) -0.001 0.007 -0.116 0.908 -0.001 -0.001
.asr___2 (t_AX) -0.006 0.004 -1.402 0.161 -0.006 -0.006
.asr___2 (t_AW) 0.002 0.005 0.327 0.744 0.002 0.002
.asr___2 (t_AS) -0.003 0.005 -0.494 0.622 -0.003 -0.003
.asr___2 (t_AP) -0.001 0.005 -0.186 0.853 -0.001 -0.001
.asr___2 (t_AH) -0.001 0.005 -0.173 0.863 -0.001 -0.001
.asr___2 (t_AA) 0.006 0.006 0.995 0.320 0.006 0.006
.asr___2 (t_AR) 0.000 0.005 0.078 0.938 0.000 0.000
.asr___2 (t_AG) -0.001 0.007 -0.116 0.908 -0.001 -0.001
.asr___4 (t_AX) -0.006 0.004 -1.402 0.161 -0.006 -0.006
.asr___4 (t_AW) 0.002 0.005 0.327 0.744 0.002 0.002
.asr___4 (t_AS) -0.003 0.005 -0.494 0.622 -0.003 -0.003
.asr___4 (t_AP) -0.001 0.005 -0.186 0.853 -0.001 -0.001
.asr___4 (t_AH) -0.001 0.005 -0.173 0.863 -0.001 -0.001
.asr___4 (t_AA) 0.006 0.006 0.995 0.320 0.006 0.006
.asr___4 (t_AR) 0.000 0.005 0.078 0.938 0.000 0.000
.asr___4 (t_AG) -0.001 0.007 -0.116 0.908 -0.001 -0.001
.a_i 0.009 0.011 0.834 0.404 0.012 0.012
.a_s -0.015 0.005 -2.888 0.004 -0.061 -0.061
.a_etaB 0.000 0.000 0.000
.a_eta2 0.000 0.000 0.000
.a_eta4 0.000 0.000 0.000
.flnkr_0 (ta_S) 0.095 0.005 18.023 0.000 0.095 0.103
.flnkr_2 (ta_S) 0.095 0.005 18.023 0.000 0.095 0.118
.flnkr_4 (ta_S) 0.095 0.005 18.023 0.000 0.095 0.119
.flnkr_6 (ta_S) 0.095 0.005 18.023 0.000 0.095 0.116
.pttrn_0 (ta_R) 0.110 0.005 21.754 0.000 0.110 0.145
.pttrn_2 (ta_R) 0.110 0.005 21.754 0.000 0.110 0.143
.pttrn_4 (ta_R) 0.110 0.005 21.754 0.000 0.110 0.134
.pttrn_6 (ta_R) 0.110 0.005 21.754 0.000 0.110 0.129
.pictr_0 (ta_M) 0.049 0.006 7.565 0.000 0.049 0.058
.pictr_2 (ta_M) 0.049 0.006 7.565 0.000 0.049 0.055
.pictr_4 (ta_M) 0.049 0.006 7.565 0.000 0.049 0.046
.pictr_6 (ta_M) 0.049 0.006 7.565 0.000 0.049 0.046
.pcvcb_0 (ta_P) 0.043 0.006 7.785 0.000 0.043 0.051
.pcvcb_2 (ta_P) 0.043 0.006 7.785 0.000 0.043 0.049
.pcvcb_4 (ta_P) 0.043 0.006 7.785 0.000 0.043 0.046
.pcvcb_6 (ta_P) 0.043 0.006 7.785 0.000 0.043 0.046
.redng_0 (ta_V) 0.053 0.005 9.893 0.000 0.053 0.062
.redng_2 (ta_V) 0.053 0.005 9.893 0.000 0.053 0.063
.redng_4 (ta_V) 0.053 0.005 9.893 0.000 0.053 0.058
.redng_6 (ta_V) 0.053 0.005 9.893 0.000 0.053 0.055
.g_i -0.626 0.008 -77.277 0.000 -1.616 -1.616
.g_s 0.470 0.004 115.299 0.000 9.127 9.127
.g_etaB 0.000 0.000 0.000
.g_eta2 0.000 0.000 0.000
.g_eta4 0.000 0.000 0.000
.g_eta6 0.000 0.000 0.000
.p___001 (t_PS) 0.052 0.004 14.261 0.000 0.052 0.046
.p___001 (t_PS) 0.052 0.004 14.261 0.000 0.052 0.050
.p___001 (t_PS) 0.052 0.004 14.261 0.000 0.052 0.056
.p___001 (t_PS) 0.052 0.004 14.261 0.000 0.052 0.061
.p___001 (t_PS) 0.052 0.004 14.261 0.000 0.052 0.069
.p___001 (t_PS) 0.052 0.004 14.261 0.000 0.052 0.074
.p___001 (t_PS) 0.052 0.004 14.261 0.000 0.052 0.077
.p___002 (t_PR) 0.107 0.002 46.481 0.000 0.107 0.132
.p___002 (t_PR) 0.107 0.002 46.481 0.000 0.107 0.125
.p___002 (t_PR) 0.107 0.002 46.481 0.000 0.107 0.126
.p___002 (t_PR) 0.107 0.002 46.481 0.000 0.107 0.134
.p___002 (t_PR) 0.107 0.002 46.481 0.000 0.107 0.149
.p___002 (t_PR) 0.107 0.002 46.481 0.000 0.107 0.170
.p___002 (t_PR) 0.107 0.002 46.481 0.000 0.107 0.193
.p___003 (t_PM) 0.097 0.003 37.045 0.000 0.097 0.122
.p___003 (t_PM) 0.097 0.003 37.045 0.000 0.097 0.110
.p___003 (t_PM) 0.097 0.003 37.045 0.000 0.097 0.108
.p___003 (t_PM) 0.097 0.003 37.045 0.000 0.097 0.112
.p___003 (t_PM) 0.097 0.003 37.045 0.000 0.097 0.121
.p___003 (t_PM) 0.097 0.003 37.045 0.000 0.097 0.135
.p___003 (t_PM) 0.097 0.003 37.045 0.000 0.097 0.146
.pu_i -0.587 0.008 -77.244 0.000 -1.367 -1.367
.pu_s 0.713 0.009 78.111 0.000 1.789 1.789
.pu_q -0.076 0.003 -28.546 0.000 -0.640 -0.640
.pu_etaB 0.000 0.000 0.000
.pu_eta1 0.000 0.000 0.000
.pu_eta2 0.000 0.000 0.000
.pu_eta3 0.000 0.000 0.000
.pu_eta4 0.000 0.000 0.000
.pu_eta5 0.000 0.000 0.000
.pu_eta6 0.000 0.000 0.000
.p_i -0.057 0.021 -2.649 0.008 -0.071 -0.071
.p_s 0.293 0.292 1.004 0.315 0.476 0.476
.p_q -0.138 0.108 -1.284 0.199 -0.754 -0.754
.Int_c_0 0.000 0.000 0.000
.Int_c_1 0.000 0.000 0.000
.Int_c_2 0.000 0.000 0.000
.Int_c_3 0.000 0.000 0.000
.Int_c_4 0.000 0.000 0.000
.Int_c_5 0.000 0.000 0.000
.Int_c_6 0.000 0.000 0.000
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.a_etaB 0.108 0.006 16.926 0.000 0.148 0.148
.a_eta2 0.184 0.005 39.154 0.000 0.261 0.261
.a_eta4 0.104 0.007 14.200 0.000 0.159 0.159
.asr_nxdp_cmp_0 0.294 0.006 51.194 0.000 0.294 0.288
.asr_wthdp_cm_0 0.479 0.008 62.300 0.000 0.479 0.457
.asr_soma_cmp_0 0.538 0.008 65.698 0.000 0.538 0.538
.asr_thprb_cm_0 0.481 0.007 65.769 0.000 0.481 0.443
.asr_ttprb_cm_0 0.410 0.006 64.471 0.000 0.410 0.413
.asr_rlbrk_cm_0 0.671 0.010 70.150 0.000 0.671 0.614
.asr_ggrss_cm_0 0.459 0.007 65.211 0.000 0.459 0.436
.asr_intr_cmp_0 0.904 0.012 75.005 0.000 0.904 0.846
.asr_nxdp_cmp_2 0.322 0.006 51.800 0.000 0.322 0.314
.asr_wthdp_cm_2 0.475 0.008 60.560 0.000 0.475 0.461
.asr_soma_cmp_2 0.549 0.009 64.030 0.000 0.549 0.550
.asr_thprb_cm_2 0.419 0.007 62.289 0.000 0.419 0.416
.asr_ttprb_cm_2 0.383 0.006 61.440 0.000 0.383 0.403
.asr_rlbrk_cm_2 0.612 0.009 67.053 0.000 0.612 0.599
.asr_ggrss_cm_2 0.445 0.007 62.974 0.000 0.445 0.435
.asr_intr_cmp_2 0.827 0.011 72.172 0.000 0.827 0.838
.asr_nxdp_cmp_4 0.333 0.007 49.267 0.000 0.333 0.337
.asr_wthdp_cm_4 0.452 0.008 56.612 0.000 0.452 0.467
.asr_soma_cmp_4 0.543 0.009 59.872 0.000 0.543 0.565
.asr_thprb_cm_4 0.393 0.007 57.783 0.000 0.393 0.418
.asr_ttprb_cm_4 0.419 0.007 58.844 0.000 0.419 0.443
.asr_rlbrk_cm_4 0.571 0.009 62.337 0.000 0.571 0.600
.asr_ggrss_cm_4 0.428 0.007 58.938 0.000 0.428 0.444
.asr_intr_cmp_4 0.813 0.012 67.937 0.000 0.813 0.846
.a_i 0.617 0.012 49.401 0.000 1.000 1.000
.a_s 0.063 0.003 19.555 0.000 0.999 0.999
.g_etaB 0.012 0.002 5.350 0.000 0.075 0.075
.g_eta2 0.008 0.002 5.215 0.000 0.048 0.048
.g_eta4 0.017 0.002 8.206 0.000 0.088 0.088
.g_eta6 0.045 0.004 11.357 0.000 0.184 0.184
.flanker_0 0.686 0.010 68.062 0.000 0.686 0.809
.flanker_2 0.467 0.009 54.451 0.000 0.467 0.734
.flanker_4 0.436 0.009 49.481 0.000 0.436 0.691
.flanker_6 0.418 0.011 38.715 0.000 0.418 0.631
.pattern_0 0.336 0.006 52.198 0.000 0.336 0.581
.pattern_2 0.338 0.008 44.902 0.000 0.338 0.572
.pattern_4 0.385 0.009 42.610 0.000 0.385 0.570
.pattern_6 0.366 0.011 32.821 0.000 0.366 0.502
.picture_0 0.653 0.009 73.392 0.000 0.653 0.918
.picture_2 0.734 0.011 69.177 0.000 0.734 0.924
.picture_4 1.056 0.016 66.200 0.000 1.056 0.938
.picture_6 1.036 0.022 47.854 0.000 1.036 0.922
.picvocab_0 0.562 0.008 68.940 0.000 0.562 0.800
.picvocab_2 0.619 0.009 66.209 0.000 0.619 0.809
.picvocab_4 0.687 0.011 63.040 0.000 0.687 0.803
.picvocab_6 0.662 0.013 49.269 0.000 0.662 0.758
.reading_0 0.576 0.008 68.329 0.000 0.576 0.786
.reading_2 0.550 0.008 64.906 0.000 0.550 0.771
.reading_4 0.665 0.011 61.999 0.000 0.665 0.780
.reading_6 0.705 0.015 47.904 0.000 0.705 0.750
.g_i 0.150 0.004 35.905 0.000 0.997 0.997
.g_s 0.003 0.001 4.107 0.000 0.999 0.999
.pu_etaB 0.010 0.003 3.104 0.002 0.051 0.051
.pu_eta1 0.053 0.002 23.505 0.000 0.229 0.229
.pu_eta2 0.052 0.002 24.059 0.000 0.211 0.211
.pu_eta3 0.048 0.002 23.738 0.000 0.195 0.195
.pu_eta4 0.041 0.002 23.056 0.000 0.190 0.190
.pu_eta5 0.027 0.002 17.745 0.000 0.165 0.165
.pu_eta6 0.011 0.003 4.389 0.000 0.092 0.092
.ph_p_pds_001_0 1.050 0.015 70.005 0.000 1.050 0.844
.ph_p_pds_002_0 0.307 0.007 47.224 0.000 0.307 0.467
.ph_p_pds_003_0 0.328 0.006 52.748 0.000 0.328 0.518
.ph_p_pds_001_1 0.819 0.012 68.705 0.000 0.819 0.779
.ph_p_pds_002_1 0.312 0.007 43.973 0.000 0.312 0.426
.ph_p_pds_003_1 0.413 0.007 55.241 0.000 0.413 0.531
.ph_p_pds_001_2 0.616 0.009 66.086 0.000 0.616 0.714
.ph_p_pds_002_2 0.274 0.007 41.974 0.000 0.274 0.381
.ph_p_pds_003_2 0.422 0.007 57.171 0.000 0.422 0.522
.ph_p_pds_001_3 0.468 0.007 62.957 0.000 0.468 0.656
.ph_p_pds_002_3 0.198 0.005 36.734 0.000 0.198 0.309
.ph_p_pds_003_3 0.372 0.007 56.098 0.000 0.372 0.492
.ph_p_pds_001_4 0.353 0.006 60.961 0.000 0.353 0.622
.ph_p_pds_002_4 0.131 0.004 31.739 0.000 0.131 0.253
.ph_p_pds_003_4 0.305 0.006 53.522 0.000 0.305 0.475
.ph_p_pds_001_5 0.326 0.006 58.978 0.000 0.326 0.668
.ph_p_pds_002_5 0.103 0.003 30.031 0.000 0.103 0.261
.ph_p_pds_003_5 0.266 0.005 52.864 0.000 0.266 0.512
.ph_p_pds_001_6 0.330 0.007 44.745 0.000 0.330 0.730
.ph_p_pds_002_6 0.087 0.004 22.010 0.000 0.087 0.284
.ph_p_pds_003_6 0.249 0.006 41.029 0.000 0.249 0.565
.pu_i 0.166 0.005 35.443 0.000 0.899 0.899
.pu_s 0.147 0.007 22.471 0.000 0.924 0.924
.pu_q 0.013 0.001 21.338 0.000 0.933 0.933
.p_i 0.365 0.009 39.476 0.000 0.567 0.567
.p_s 0.231 0.017 13.509 0.000 0.608 0.608
.p_q 0.026 0.002 14.452 0.000 0.773 0.773
.Int_comp_0 0.180 0.007 26.103 0.000 0.180 0.218
.Int_comp_1 0.280 0.005 58.332 0.000 0.280 0.315
.Int_comp_2 0.287 0.005 56.509 0.000 0.287 0.302
.Int_comp_3 0.306 0.006 53.809 0.000 0.306 0.293
.Int_comp_4 0.320 0.006 52.471 0.000 0.320 0.285
.Int_comp_5 0.366 0.008 47.024 0.000 0.366 0.292
.Int_comp_6 0.247 0.013 18.814 0.000 0.247 0.187
R-Square:
Estimate
a_etaB 0.852
a_eta2 0.739
a_eta4 0.841
asr_nxdp_cmp_0 0.712
asr_wthdp_cm_0 0.543
asr_soma_cmp_0 0.462
asr_thprb_cm_0 0.557
asr_ttprb_cm_0 0.587
asr_rlbrk_cm_0 0.386
asr_ggrss_cm_0 0.564
asr_intr_cmp_0 0.154
asr_nxdp_cmp_2 0.686
asr_wthdp_cm_2 0.539
asr_soma_cmp_2 0.450
asr_thprb_cm_2 0.584
asr_ttprb_cm_2 0.597
asr_rlbrk_cm_2 0.401
asr_ggrss_cm_2 0.565
asr_intr_cmp_2 0.162
asr_nxdp_cmp_4 0.663
asr_wthdp_cm_4 0.533
asr_soma_cmp_4 0.435
asr_thprb_cm_4 0.582
asr_ttprb_cm_4 0.557
asr_rlbrk_cm_4 0.400
asr_ggrss_cm_4 0.556
asr_intr_cmp_4 0.154
a_i 0.000
a_s 0.001
g_etaB 0.925
g_eta2 0.952
g_eta4 0.912
g_eta6 0.816
flanker_0 0.191
flanker_2 0.266
flanker_4 0.309
flanker_6 0.369
pattern_0 0.419
pattern_2 0.428
pattern_4 0.430
pattern_6 0.498
picture_0 0.082
picture_2 0.076
picture_4 0.062
picture_6 0.078
picvocab_0 0.200
picvocab_2 0.191
picvocab_4 0.197
picvocab_6 0.242
reading_0 0.214
reading_2 0.229
reading_4 0.220
reading_6 0.250
g_i 0.003
g_s 0.001
pu_etaB 0.949
pu_eta1 0.771
pu_eta2 0.789
pu_eta3 0.805
pu_eta4 0.810
pu_eta5 0.835
pu_eta6 0.908
ph_p_pds_001_0 0.156
ph_p_pds_002_0 0.533
ph_p_pds_003_0 0.482
ph_p_pds_001_1 0.221
ph_p_pds_002_1 0.574
ph_p_pds_003_1 0.469
ph_p_pds_001_2 0.286
ph_p_pds_002_2 0.619
ph_p_pds_003_2 0.478
ph_p_pds_001_3 0.344
ph_p_pds_002_3 0.691
ph_p_pds_003_3 0.508
ph_p_pds_001_4 0.378
ph_p_pds_002_4 0.747
ph_p_pds_003_4 0.525
ph_p_pds_001_5 0.332
ph_p_pds_002_5 0.739
ph_p_pds_003_5 0.488
ph_p_pds_001_6 0.270
ph_p_pds_002_6 0.716
ph_p_pds_003_6 0.435
pu_i 0.101
pu_s 0.076
pu_q 0.067
p_i 0.433
p_s 0.392
p_q 0.227
Int_comp_0 0.782
Int_comp_1 0.685
Int_comp_2 0.698
Int_comp_3 0.707
Int_comp_4 0.715
Int_comp_5 0.708
Int_comp_6 0.813
Result summary
Model fit indices
lapply(
c(
"pgcm_pga_pu6_sex_result.rds",
"pgcm_Ext_pga_pu6_sex_result.rds",
"pgcm_Int_pga_pu6_sex_result.rds"
),
function(f) {
readRDS(f)$fit[c(
# "chisq", "df", "pvalue",
"cfi.robust", "tli.robust",
"rmsea.robust", "rmsea.ci.lower.robust",
"rmsea.ci.upper.robust", "srmr"
)]
}
) %>%
do.call(rbind, .) %>%
round(3) %>%
data.frame(model = c("pc", "Ext", "Int"), ., row.names = NULL) %>%
knitr::kable()| model | cfi.robust | tli.robust | rmsea.robust | rmsea.ci.lower.robust | rmsea.ci.upper.robust | srmr |
|---|---|---|---|---|---|---|
| pc | 0.949 | 0.945 | 0.027 | 0.027 | 0.027 | 0.054 |
| Ext | 0.947 | 0.943 | 0.032 | 0.031 | 0.032 | 0.052 |
| Int | 0.945 | 0.940 | 0.032 | 0.032 | 0.033 | 0.052 |
Result
pu_model_list <- c(
"pgcm_pga_pu6_sex_model.rds",
"pgcm_Ext_pga_pu6_sex_model.rds",
"pgcm_Int_pga_pu6_sex_model.rds"
)
# combine all significant results
final.pga.pu.sex.result <- data.frame()
for (a in 1:3) {
final.pga.pu.sex.result <- final.pga.pu.sex.result %>%
rbind(
readRDS(paste0(pu_model_list[a])) %>%
standardizedSolution() %>%
filter(op == "~") %>%
filter(rhs != "dummy_sex") %>%
mutate(label = str_sub(pu_model_list[a], 6, 8))
)
}
final.pga.pu.sex.result %>%
mutate(sig = case_when(
pvalue < .001 ~ "***",
pvalue < .01 ~ "**",
pvalue < .05 ~ "*",
pvalue >= .05 ~ ""
)) %>%
mutate(
std.lv = round(est.std, 3),
effsize = paste0(std.lv, " [", round(ci.lower, 3), ",", round(ci.upper, 3), "]")
) %>%
select(lhs, op, rhs, label, effsize) %>%
pivot_wider(
names_from = label,
values_from = effsize
) %>%
select(lhs, op, rhs, Int, Ext, pga) %>%
arrange(desc(rhs)) %>%
knitr::kable()| lhs | op | rhs | Int | Ext | pga |
|---|---|---|---|---|---|
| p_s | ~ | pu_s | 0.029 [-0.151,0.209] | 0.172 [-0.017,0.36] | 0.045 [-0.139,0.229] |
| p_q | ~ | pu_s | 0.146 [-0.068,0.359] | -0.115 [-0.332,0.103] | 0.061 [-0.155,0.276] |
| p_s | ~ | pu_q | -0.015 [-0.201,0.171] | 0.122 [-0.073,0.318] | 0.038 [-0.153,0.228] |
| p_q | ~ | pu_q | 0.171 [-0.049,0.391] | -0.052 [-0.277,0.172] | 0.065 [-0.157,0.287] |
| p_i | ~ | pu_i | 0.025 [0.002,0.047] | 0.045 [0.023,0.068] | 0.029 [0.007,0.051] |
| p_s | ~ | pu_i | 0.028 [-0.044,0.101] | 0.031 [-0.044,0.107] | -0.029 [-0.103,0.045] |
| p_q | ~ | pu_i | 0.011 [-0.075,0.097] | -0.042 [-0.129,0.045] | 0.043 [-0.043,0.13] |
| p_s | ~ | g_s | -0.019 [-0.114,0.076] | -0.217 [-0.344,-0.09] | -0.109 [-0.206,-0.012] |
| p_q | ~ | g_s | 0.051 [-0.065,0.167] | 0.172 [0.035,0.31] | 0.104 [-0.01,0.219] |
| p_i | ~ | g_i | -0.011 [-0.033,0.01] | -0.14 [-0.161,-0.118] | -0.147 [-0.168,-0.126] |
| p_s | ~ | g_i | 0.078 [0.031,0.125] | 0.109 [0.032,0.186] | 0.079 [0.028,0.129] |
| p_q | ~ | g_i | -0.094 [-0.151,-0.036] | -0.091 [-0.167,-0.014] | -0.056 [-0.114,0.002] |
| p_s | ~ | a_s | 0.648 [0.596,0.701] | 0.625 [0.569,0.68] | 0.761 [0.704,0.817] |
| p_q | ~ | a_s | -0.489 [-0.548,-0.429] | -0.523 [-0.585,-0.462] | -0.65 [-0.713,-0.588] |
| p_i | ~ | a_i | 0.657 [0.641,0.673] | 0.553 [0.536,0.57] | 0.691 [0.676,0.706] |
| p_s | ~ | a_i | 0.113 [0.073,0.152] | 0.004 [-0.036,0.045] | 0.029 [-0.013,0.071] |
| p_q | ~ | a_i | -0.077 [-0.121,-0.034] | -0.062 [-0.106,-0.018] | -0.116 [-0.161,-0.07] |
Visualization
p, int, ext with pu result plots
ggpubr::annotate_figure(
ggpubr::annotate_figure(
ggpubr::ggarrange(
simple_slope_lgc(readRDS("pgcm_pga_pu6_sex_model.rds"), "g_i") +
labs(color = "Decile\nof EV") +
coord_cartesian(ylim = c(-0.25, 0.25)),
simple_slope_lgc(readRDS("pgcm_pga_pu6_sex_model.rds"), "g_s") +
coord_cartesian(ylim = c(-0.25, 0.25)),
simple_slope_lgc(readRDS("pgcm_pga_pu6_sex_model.rds"), "a_i") +
coord_cartesian(ylim = c(-0.7, .7)),
simple_slope_lgc(readRDS("pgcm_pga_pu6_sex_model.rds"), "a_s") +
coord_cartesian(ylim = c(-0.7, .7)),
simple_slope_lgc(readRDS("pgcm_Int_pga_pu6_sex_model.rds"), "g_i") +
coord_cartesian(ylim = c(-0.25, 0.25)),
simple_slope_lgc(readRDS("pgcm_Int_pga_pu6_sex_model.rds"), "g_s") +
coord_cartesian(ylim = c(-0.25, 0.25)),
simple_slope_lgc(readRDS("pgcm_Int_pga_pu6_sex_model.rds"), "a_i") +
coord_cartesian(ylim = c(-0.7, .7)),
simple_slope_lgc(readRDS("pgcm_Int_pga_pu6_sex_model.rds"), "a_s") +
coord_cartesian(ylim = c(-0.7, .7)),
simple_slope_lgc(readRDS("pgcm_Ext_pga_pu6_sex_model.rds"), "g_i") +
coord_cartesian(ylim = c(-0.25, 0.25)),
simple_slope_lgc(readRDS("pgcm_Ext_pga_pu6_sex_model.rds"), "g_s") +
coord_cartesian(ylim = c(-0.25, 0.25)),
simple_slope_lgc(readRDS("pgcm_Ext_pga_pu6_sex_model.rds"), "a_i") +
coord_cartesian(ylim = c(-0.7, .7)),
simple_slope_lgc(readRDS("pgcm_Ext_pga_pu6_sex_model.rds"), "a_s") +
coord_cartesian(ylim = c(-0.7, .7)),
common.legend = TRUE,
legend = "right",
ncol = 4,
nrow = 3
),
top = ggpubr::text_grob("g intercept g slope pp intercept pp slope", hjust = .54, size = 10),
bottom = ggpubr::text_grob("Age (Years Old)", size = 10),
left = ggpubr::text_grob("Externalizing Internalizing p factor", size = 10, rot = 90)
),
top = ggpubr::text_grob("Explanatory Variables (EV)", face = "bold", size = 10),
left = ggpubr::text_grob("Response Variables (RV)", face = "bold", size = 10, rot = 90)
)
Result comparison from both models with and wthout puberty
p, int, ext result table
bind_rows(
standardizedSolution(readRDS("pgcm_pga6_sex_model.rds")) %>%
filter(op == "~" & rhs != "dummy_sex") %>%
mutate(
op = lhs,
label = "pga"
),
standardizedSolution(readRDS("pgcm_Int_pga6_sex_model.rds")) %>%
filter(op == "~" & rhs != "dummy_sex") %>%
mutate(
op = str_replace(lhs, "p_", "Int_"),
label = "pga"
),
standardizedSolution(readRDS("pgcm_Ext_pga6_sex_model.rds")) %>%
filter(op == "~" & rhs != "dummy_sex") %>%
mutate(
op = str_replace(lhs, "p_", "Ext_"),
label = "pga"
),
standardizedSolution(readRDS("pgcm_pga_pu6_sex_model.rds")) %>%
filter(op == "~" & rhs != "dummy_sex" & !str_detect(rhs, "pu_")) %>%
mutate(
op = lhs,
label = "pga_pu"
),
standardizedSolution(readRDS("pgcm_Int_pga_pu6_sex_model.rds")) %>%
filter(op == "~" & rhs != "dummy_sex" & !str_detect(rhs, "pu_")) %>%
mutate(
op = str_replace(lhs, "p_", "Int_"),
label = "pga_pu"
),
standardizedSolution(readRDS("pgcm_Ext_pga_pu6_sex_model.rds")) %>%
filter(op == "~" & rhs != "dummy_sex" & !str_detect(rhs, "pu_")) %>%
mutate(
op = str_replace(lhs, "p_", "Ext_"),
label = "pga_pu"
)
) %>%
select(label, op, rhs, est.std, ci.lower, ci.upper) %>%
mutate(No = row_number()) %>%
saveRDS("result_sum_table.rds")readRDS("result_sum_table.rds") %>%
DT::datatable(options = list(pageLength = 10, scrollY = "450px", scrollX = TRUE))result comparison plots
readRDS("result_sum_table.rds") %>%
mutate(
path = paste(rhs, "→", str_sub(op, -1)), # readable path
response = str_extract(op, "^[A-Za-z]+") %>%
recode(
"Int" = "Internalizing",
"Ext" = "Externalizing",
"p" = "general~italic(p)~factor"
)
) %>%
ggplot(aes(
x = est.std,
y = reorder(path, -No),
color = label
)) +
geom_point(position = position_dodge(width = 0.6), size = 1.5) +
geom_errorbarh(
aes(xmin = ci.lower, xmax = ci.upper),
position = position_dodge(width = 0.6),
height = 0.4,
linewidth = 1
) +
geom_vline(xintercept = 0, linetype = "dashed", color = "gray40") +
facet_wrap(~response, labeller = label_parsed) +
labs(
x = "Standardized Estimate with 95% CI",
y = "Path",
color = "Model"
) +
scale_x_continuous(labels = signs::signs_format(trim_leading_zeros = TRUE)) +
scale_color_discrete(
labels = c(
"pga" = "with puberty",
"pga_pu" = "w/o puberty"
)
) +
theme_minimal(base_size = 17) +
theme(
panel.grid.major.y = element_blank(),
panel.grid.minor.y = element_blank(),
strip.text = element_text(face = "bold")
)
# No noticeable differences were observed between the main and additional analyses.