PSYC0146 Advanced statistics: Data analysis and modelling
0.1 Hypothesis 1:
Progressive Improvement in Optimal Choices Across Task Blocks
## 'data.frame': 316800 obs. of 11 variables:
## $ ID : int 1 1 1 1 1 1 1 1 1 1 ...
## $ condition : chr "treatment" "treatment" "treatment" "treatment" ...
## $ trial : int 1 2 3 4 5 6 7 8 9 10 ...
## $ block : int 1 1 1 1 1 1 1 1 1 1 ...
## $ type : chr "60-40" "60-40" "80-20" "80-20" ...
## $ choice : chr "L" "H" "H" "L" ...
## $ rt : num 1786 1118 1904 1730 939 ...
## $ reward : int 0 0 0 0 0 1 1 0 1 1 ...
## $ affect_type : chr "confident" "engaged" "happy" "engaged" ...
## $ affect_response: int 39 52 35 22 35 25 33 35 33 25 ...
## $ affect_rt : num 11380 4976 3946 3249 3050 ...0.1.1 Generalised Linear Mixed-Effects Model H1
##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union# Convert categorical variables to factors and create binary response variable
data_LMM_h1 <- data_long_h1 %>%
mutate(
condition = as.factor(condition),
block = as.factor(block), # block as a factor for modeling
type = as.factor(type),
choice = as.factor(choice), # choice is a factor
ID = as.factor(ID), # ID is a factor for random effects
optimal_choice = ifelse(choice == "H", 1, 0) # 1 for "H", 0 otherwise
)
str(data_LMM_h1)## 'data.frame': 316800 obs. of 12 variables:
## $ ID : Factor w/ 880 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ condition : Factor w/ 2 levels "control","treatment": 2 2 2 2 2 2 2 2 2 2 ...
## $ trial : int 1 2 3 4 5 6 7 8 9 10 ...
## $ block : Factor w/ 6 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ type : Factor w/ 3 levels "60-40","70-30",..: 1 1 3 3 2 1 2 2 3 3 ...
## $ choice : Factor w/ 2 levels "H","L": 2 1 1 2 1 2 2 2 2 1 ...
## $ rt : num 1786 1118 1904 1730 939 ...
## $ reward : int 0 0 0 0 0 1 1 0 1 1 ...
## $ affect_type : chr "confident" "engaged" "happy" "engaged" ...
## $ affect_response: int 39 52 35 22 35 25 33 35 33 25 ...
## $ affect_rt : num 11380 4976 3946 3249 3050 ...
## $ optimal_choice : num 0 1 1 0 1 0 0 0 0 1 ...## [1] "control" "treatment"## [1] "1" "2" "3" "4" "5" "6"## [1] "60-40" "70-30" "80-20"## Loading required package: Matrix## #refugeeswelcome# Fit the GLMM for H1
LMM_mod_H1 <- glmer(optimal_choice ~ block * type + (1 | ID),
data = data_LMM_h1,
family = binomial,
control = glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 1e+05)))
summary(LMM_mod_H1)## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: optimal_choice ~ block * type + (1 | ID)
## Data: data_LMM_h1
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 1e+05))
##
## AIC BIC logLik deviance df.resid
## 364480.0 364682.6 -182221.0 364442.0 315310
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.7467 -1.0168 0.4780 0.6969 1.7580
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 0.4617 0.6795
## Number of obs: 315329, groups: ID, 880
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.33476 0.02780 12.041 < 2e-16 ***
## block2 0.05741 0.02245 2.558 0.0105 *
## block3 0.14525 0.02253 6.447 1.14e-10 ***
## block4 0.16444 0.02254 7.297 2.95e-13 ***
## block5 0.20754 0.02257 9.194 < 2e-16 ***
## block6 0.29266 0.02269 12.898 < 2e-16 ***
## type70-30 0.21377 0.02255 9.481 < 2e-16 ***
## type80-20 0.44556 0.02283 19.519 < 2e-16 ***
## block2:type70-30 0.22018 0.03226 6.825 8.81e-12 ***
## block3:type70-30 0.23187 0.03247 7.141 9.28e-13 ***
## block4:type70-30 0.28161 0.03258 8.643 < 2e-16 ***
## block5:type70-30 0.29210 0.03267 8.941 < 2e-16 ***
## block6:type70-30 0.26952 0.03288 8.196 2.48e-16 ***
## block2:type80-20 0.26601 0.03289 8.089 6.01e-16 ***
## block3:type80-20 0.34375 0.03329 10.327 < 2e-16 ***
## block4:type80-20 0.43597 0.03353 13.001 < 2e-16 ***
## block5:type80-20 0.49383 0.03382 14.603 < 2e-16 ***
## block6:type80-20 0.44923 0.03407 13.186 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Correlation matrix not shown by default, as p = 18 > 12.
## Use print(x, correlation=TRUE) or
## vcov(x) if you need it## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: optimal_choice ~ block * type + (1 | ID)
## Data: data_LMM_h1
## AIC BIC logLik deviance df.resid
## 364480.0 364682.6 -182221.0 364442.0 315310
## Random effects:
## Groups Name Std.Dev.
## ID (Intercept) 0.6795
## Number of obs: 315329, groups: ID, 880
## Fixed Effects:
## (Intercept) block2 block3 block4
## 0.33476 0.05741 0.14525 0.16444
## block5 block6 type70-30 type80-20
## 0.20754 0.29266 0.21377 0.44556
## block2:type70-30 block3:type70-30 block4:type70-30 block5:type70-30
## 0.22018 0.23187 0.28161 0.29210
## block6:type70-30 block2:type80-20 block3:type80-20 block4:type80-20
## 0.26952 0.26601 0.34375 0.43597
## block5:type80-20 block6:type80-20
## 0.49383 0.449230.1.1.1 Random Effects
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## 876 0.611754217
## 877 -0.256195915
## 878 0.134350620
## 879 -0.461702982
## 880 -0.903879831### Residual patterns to evaluate model fit.
residuals_LMM_h1 <- resid(LMM_mod_H1, type = "pearson")
# Plot residuals
ggplot(data.frame(residuals = residuals_LMM_h1), aes(x = residuals)) +
geom_histogram(bins = 30, fill = "blue", alpha = 0.7) +
labs(title = "Histogram of Pearson Residuals", x = "Residuals", y = "Frequency")
library(dplyr)
library(tibble)
# Diagnostics plot: Conditional modes
# Extract random effects
random_effects_h1 <- ranef(LMM_mod_H1, condVar = TRUE)$ID
# Convert to data frame for plot
random_effects_df <- as.data.frame(random_effects_h1) %>%
rownames_to_column(var = "Participant_ID") %>%
rename(Random_Intercept = `(Intercept)`)
# Plot
ggplot(random_effects_df, aes(x = Random_Intercept, y = Participant_ID)) +
geom_point(color = "blue", alpha = 0.7) +
theme_minimal() +
labs(title = "Random Effects: Participant-Level Intercepts",
x = "Random Intercept",
y = "Participant ID") +
theme(
axis.text.y = element_blank(),
axis.ticks.y = element_blank()
)
### Marginal Means
## Welcome to emmeans.
## Caution: You lose important information if you filter this package's results.
## See '? untidy'## NOTE: Results may be misleading due to involvement in interactions## block emmean SE df asymp.LCL asymp.UCL
## 1 0.555 0.0248 Inf 0.506 0.603
## 2 0.774 0.0249 Inf 0.725 0.823
## 3 0.892 0.0250 Inf 0.843 0.941
## 4 0.958 0.0250 Inf 0.909 1.007
## 5 1.024 0.0251 Inf 0.975 1.073
## 6 1.087 0.0251 Inf 1.038 1.136
##
## Results are averaged over the levels of: type
## Results are given on the logit (not the response) scale.
## Confidence level used: 0.95# Convert logit scale to probability
emm_blocks_prob <- as.data.frame(emm_blocks_H1)
emm_blocks_prob <- emm_blocks_prob %>%
mutate(
Probability = exp(emmean) / (1 + exp(emmean)), # Logit to probability transformation
Lower_Prob = exp(asymp.LCL) / (1 + exp(asymp.LCL)),
Upper_Prob = exp(asymp.UCL) / (1 + exp(asymp.UCL))
)0.1.1.2 Marginal Means Plot
# Marginal Means of Optimal Choices Across Blocks (Probability)
Marg_mean_prob_plot <- ggplot(emm_blocks_prob, aes(x = as.factor(block), y = Probability)) +
geom_point(size = 2, color = "#3498DB") +
geom_line(aes(group = 1), color = "#3498DB", size = 1) + # Line connecting points
geom_errorbar(aes(ymin = Lower_Prob, ymax = Upper_Prob), width = 0.2, color = "darkblue") + # Error bars
labs(
title = "Marginal Means of Optimal Choices Across Blocks (Probability)",
x = "Block",
y = "Probability of Optimal Choice",
caption = "Error bars represent 95% confidence intervals."
) +
theme(
plot.title = element_text(hjust = 0.5, face = "bold", size = 12),
axis.title = element_text(face = "bold", size = 11),
axis.text = element_text(size = 10),
panel.background = element_rect(fill = "gray95"),
panel.grid.major = element_line(color = "white"),
panel.grid.minor = element_line(color = "gray70")
)## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## contrast estimate SE df z.ratio p.value
## block1 - block2 -0.2195 0.0135 Inf -16.220 <.0001
## block1 - block3 -0.3371 0.0137 Inf -24.662 <.0001
## block1 - block4 -0.4036 0.0138 Inf -29.296 <.0001
## block1 - block5 -0.4695 0.0139 Inf -33.817 <.0001
## block1 - block6 -0.5322 0.0140 Inf -38.113 <.0001
## block2 - block3 -0.1177 0.0139 Inf -8.475 <.0001
## block2 - block4 -0.1842 0.0140 Inf -13.169 <.0001
## block2 - block5 -0.2500 0.0141 Inf -17.747 <.0001
## block2 - block6 -0.3128 0.0142 Inf -22.076 <.0001
## block3 - block4 -0.0665 0.0141 Inf -4.710 <.0001
## block3 - block5 -0.1324 0.0142 Inf -9.309 <.0001
## block3 - block6 -0.1951 0.0143 Inf -13.645 <.0001
## block4 - block5 -0.0659 0.0143 Inf -4.600 0.0001
## block4 - block6 -0.1286 0.0144 Inf -8.932 <.0001
## block5 - block6 -0.0627 0.0145 Inf -4.327 0.0002
##
## Results are averaged over the levels of: type
## Results are given on the log odds ratio (not the response) scale.
## P value adjustment: tukey method for comparing a family of 6 estimates# Odds Ratios Main effect of Block
#Odds Ratios for Pairwise Comparisons (main effect)
pairwise_results_h1 <- as.data.frame(pairs(emm_blocks_H1, infer = c(TRUE, TRUE)))
pairwise_results_h1## contrast estimate SE df asymp.LCL asymp.UCL z.ratio
## block1 - block2 -0.2194755 0.01353086 Inf -0.2580345 -0.1809166 -16.220
## block1 - block3 -0.3371262 0.01366976 Inf -0.3760810 -0.2981715 -24.662
## block1 - block4 -0.4036333 0.01377769 Inf -0.4428956 -0.3643709 -29.296
## block1 - block5 -0.4695131 0.01388403 Inf -0.5090785 -0.4299477 -33.817
## block1 - block6 -0.5322440 0.01396478 Inf -0.5720395 -0.4924485 -38.113
## block2 - block3 -0.1176507 0.01388185 Inf -0.1572099 -0.0780915 -8.475
## block2 - block4 -0.1841577 0.01398467 Inf -0.2240099 -0.1443055 -13.169
## block2 - block5 -0.2500375 0.01408889 Inf -0.2901867 -0.2098883 -17.747
## block2 - block6 -0.3127684 0.01416792 Inf -0.3531428 -0.2723940 -22.076
## block3 - block4 -0.0665070 0.01411909 Inf -0.1067423 -0.0262718 -4.710
## block3 - block5 -0.1323868 0.01422122 Inf -0.1729131 -0.0918605 -9.309
## block3 - block6 -0.1951177 0.01429969 Inf -0.2358676 -0.1543678 -13.645
## block4 - block5 -0.0658798 0.01432052 Inf -0.1066891 -0.0250705 -4.600
## block4 - block6 -0.1286107 0.01439829 Inf -0.1696416 -0.0875798 -8.932
## block5 - block6 -0.0627309 0.01449817 Inf -0.1040464 -0.0214154 -4.327
## p.value
## <.0001
## <.0001
## <.0001
## <.0001
## <.0001
## <.0001
## <.0001
## <.0001
## <.0001
## <.0001
## <.0001
## <.0001
## 0.0001
## <.0001
## 0.0002
##
## Results are averaged over the levels of: type
## Results are given on the log odds ratio (not the response) scale.
## Confidence level used: 0.95
## Conf-level adjustment: tukey method for comparing a family of 6 estimates
## P value adjustment: tukey method for comparing a family of 6 estimates# Add Odds Ratios and Confidence Intervals
pairs_odds_ratios_h1 <- pairwise_results_h1 %>%
mutate(
Odds_Ratio = exp(estimate),
Lower_CL_OR = exp(asymp.LCL), # Adjusted column names after adding infer
Upper_CL_OR = exp(asymp.UCL) # Adjusted column names after adding infer
)
pairs_odds_ratios_h1 <- pairs_odds_ratios_h1 %>%
rename(
Lower_CL = asymp.LCL, # Rename lower confidence limit
Upper_CL = asymp.UCL # Rename upper confidence limit
)
pairs_odds_ratios_h1## contrast estimate SE df Lower_CL Upper_CL z.ratio
## 1 block1 - block2 -0.21947553 0.01353086 Inf -0.2580345 -0.18091656 -16.220366
## 2 block1 - block3 -0.33712624 0.01366976 Inf -0.3760810 -0.29817147 -24.662201
## 3 block1 - block4 -0.40363326 0.01377769 Inf -0.4428956 -0.36437089 -29.296139
## 4 block1 - block5 -0.46951307 0.01388403 Inf -0.5090785 -0.42994766 -33.816760
## 5 block1 - block6 -0.53224396 0.01396478 Inf -0.5720395 -0.49244846 -38.113318
## 6 block2 - block3 -0.11765071 0.01388185 Inf -0.1572099 -0.07809152 -8.475145
## 7 block2 - block4 -0.18415773 0.01398467 Inf -0.2240099 -0.14430554 -13.168544
## 8 block2 - block5 -0.25003754 0.01408889 Inf -0.2901867 -0.20988834 -17.747138
## 9 block2 - block6 -0.31276842 0.01416792 Inf -0.3531428 -0.27239403 -22.075821
## 10 block3 - block4 -0.06650702 0.01411909 Inf -0.1067423 -0.02627176 -4.710431
## 11 block3 - block5 -0.13238683 0.01422122 Inf -0.1729131 -0.09186055 -9.309107
## 12 block3 - block6 -0.19511771 0.01429969 Inf -0.2358676 -0.15436779 -13.644887
## 13 block4 - block5 -0.06587981 0.01432052 Inf -0.1066891 -0.02507055 -4.600379
## 14 block4 - block6 -0.12861070 0.01439829 Inf -0.1696416 -0.08757981 -8.932359
## 15 block5 - block6 -0.06273089 0.01449817 Inf -0.1040464 -0.02141537 -4.326814
## p.value Odds_Ratio Lower_CL_OR Upper_CL_OR
## 1 0.000000e+00 0.8029398 0.7725686 0.8345050
## 2 0.000000e+00 0.7138187 0.6865467 0.7421741
## 3 0.000000e+00 0.6678890 0.6421742 0.6946335
## 4 0.000000e+00 0.6253067 0.6010492 0.6505431
## 5 0.000000e+00 0.5872856 0.5643733 0.6111282
## 6 5.739853e-14 0.8890065 0.8545247 0.9248798
## 7 0.000000e+00 0.8318046 0.7993072 0.8656232
## 8 0.000000e+00 0.7787715 0.7481239 0.8106748
## 9 0.000000e+00 0.7314193 0.7024769 0.7615541
## 10 3.639487e-05 0.9356564 0.8987573 0.9740703
## 11 6.183942e-14 0.8760021 0.8412107 0.9122324
## 12 0.000000e+00 0.8227378 0.7898852 0.8569568
## 13 6.185407e-05 0.9362434 0.8988051 0.9752411
## 14 4.218847e-14 0.8793162 0.8439673 0.9161458
## 15 2.190845e-04 0.9391962 0.9011835 0.9788123#data for the table
main_effect_pairwise_apa <- pairs_odds_ratios_h1 %>%
mutate(
estimate = round(estimate, 2),
SE = round(SE, 2),
Lower_CL = round(Lower_CL, 2),
Upper_CL = round(Upper_CL, 2),
Odds_Ratio = round(Odds_Ratio, 2),
Lower_CL_OR = round(Lower_CL_OR, 2),
Upper_CL_OR = round(Upper_CL_OR, 2),
z.ratio = round(z.ratio, 2),
p.value = format.pval(p.value, digits = 3, eps = .001)
)
colnames(main_effect_pairwise_apa)## [1] "contrast" "estimate" "SE" "df" "Lower_CL"
## [6] "Upper_CL" "z.ratio" "p.value" "Odds_Ratio" "Lower_CL_OR"
## [11] "Upper_CL_OR"# Create the APA-7 styled table
main_effect_pairwise_tab <- flextable(main_effect_pairwise_apa) %>%
set_header_labels(
contrast = "Contrast",
estimate = "Log-Odds Estimate",
SE = "Standard Error",
df = "Degrees of Freedom",
Lower_CL = "Lower Confidence Limit (Log-Odds)",
Upper_CL = "Upper Confidence Limit (Log-Odds)",
Odds_Ratio = "Odds Ratio",
Lower_CL_OR = "Lower Confidence Limit (Odds Ratio)",
Upper_CL_OR = "Upper Confidence Limit (Odds Ratio)",
z.ratio = "z-Ratio",
p.value = "p-Value"
) %>%
add_header_row(
values = c("Pairwise Comparisons of Blocks on Proportion of Optimal Choices"),
colwidths = 11
) %>%
theme_booktabs() %>%
autofit() %>%
fontsize(size = 12) %>%
align(align = "center", part = "all")
main_effect_pairwise_tabPairwise Comparisons of Blocks on Proportion of Optimal Choices | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
Contrast | Log-Odds Estimate | Standard Error | Degrees of Freedom | Lower Confidence Limit (Log-Odds) | Upper Confidence Limit (Log-Odds) | z-Ratio | p-Value | Odds Ratio | Lower Confidence Limit (Odds Ratio) | Upper Confidence Limit (Odds Ratio) |
block1 - block2 | -0.22 | 0.01 | Inf | -0.26 | -0.18 | -16.22 | <0.001 | 0.80 | 0.77 | 0.83 |
block1 - block3 | -0.34 | 0.01 | Inf | -0.38 | -0.30 | -24.66 | <0.001 | 0.71 | 0.69 | 0.74 |
block1 - block4 | -0.40 | 0.01 | Inf | -0.44 | -0.36 | -29.30 | <0.001 | 0.67 | 0.64 | 0.69 |
block1 - block5 | -0.47 | 0.01 | Inf | -0.51 | -0.43 | -33.82 | <0.001 | 0.63 | 0.60 | 0.65 |
block1 - block6 | -0.53 | 0.01 | Inf | -0.57 | -0.49 | -38.11 | <0.001 | 0.59 | 0.56 | 0.61 |
block2 - block3 | -0.12 | 0.01 | Inf | -0.16 | -0.08 | -8.48 | <0.001 | 0.89 | 0.85 | 0.92 |
block2 - block4 | -0.18 | 0.01 | Inf | -0.22 | -0.14 | -13.17 | <0.001 | 0.83 | 0.80 | 0.87 |
block2 - block5 | -0.25 | 0.01 | Inf | -0.29 | -0.21 | -17.75 | <0.001 | 0.78 | 0.75 | 0.81 |
block2 - block6 | -0.31 | 0.01 | Inf | -0.35 | -0.27 | -22.08 | <0.001 | 0.73 | 0.70 | 0.76 |
block3 - block4 | -0.07 | 0.01 | Inf | -0.11 | -0.03 | -4.71 | <0.001 | 0.94 | 0.90 | 0.97 |
block3 - block5 | -0.13 | 0.01 | Inf | -0.17 | -0.09 | -9.31 | <0.001 | 0.88 | 0.84 | 0.91 |
block3 - block6 | -0.20 | 0.01 | Inf | -0.24 | -0.15 | -13.64 | <0.001 | 0.82 | 0.79 | 0.86 |
block4 - block5 | -0.07 | 0.01 | Inf | -0.11 | -0.03 | -4.60 | <0.001 | 0.94 | 0.90 | 0.98 |
block4 - block6 | -0.13 | 0.01 | Inf | -0.17 | -0.09 | -8.93 | <0.001 | 0.88 | 0.84 | 0.92 |
block5 - block6 | -0.06 | 0.01 | Inf | -0.10 | -0.02 | -4.33 | <0.001 | 0.94 | 0.90 | 0.98 |
### Pairwise comparisons Interaction
#interaction effects (estimated marginal means (EMMs) for the interaction between block and type in the GLM.)
emm_interaction_H1 <- emmeans(LMM_mod_H1, ~ block * type)
emm_interaction_H1## block type emmean SE df asymp.LCL asymp.UCL
## 1 60-40 0.335 0.0278 Inf 0.280 0.389
## 2 60-40 0.392 0.0279 Inf 0.337 0.447
## 3 60-40 0.480 0.0280 Inf 0.425 0.535
## 4 60-40 0.499 0.0280 Inf 0.444 0.554
## 5 60-40 0.542 0.0281 Inf 0.487 0.597
## 6 60-40 0.627 0.0281 Inf 0.572 0.683
## 1 70-30 0.549 0.0281 Inf 0.494 0.604
## 2 70-30 0.826 0.0284 Inf 0.770 0.882
## 3 70-30 0.926 0.0286 Inf 0.870 0.982
## 4 70-30 0.995 0.0287 Inf 0.938 1.051
## 5 70-30 1.048 0.0288 Inf 0.992 1.105
## 6 70-30 1.111 0.0289 Inf 1.054 1.167
## 1 80-20 0.780 0.0283 Inf 0.725 0.836
## 2 80-20 1.104 0.0289 Inf 1.047 1.160
## 3 80-20 1.269 0.0293 Inf 1.212 1.327
## 4 80-20 1.381 0.0296 Inf 1.323 1.439
## 5 80-20 1.482 0.0299 Inf 1.423 1.540
## 6 80-20 1.522 0.0301 Inf 1.463 1.581
##
## Results are given on the logit (not the response) scale.
## Confidence level used: 0.95## pairwise comparisons (within and between levels of trial types)
pairwise_interations_emm <- (contrast(emm_interaction_H1, method = "pairwise"))
pairwise_interations_emm## contrast estimate SE df z.ratio p.value
## (block1 60-40) - (block2 60-40) -0.05741 0.0224 Inf -2.558 0.4857
## (block1 60-40) - (block3 60-40) -0.14525 0.0225 Inf -6.447 <.0001
## (block1 60-40) - (block4 60-40) -0.16444 0.0225 Inf -7.297 <.0001
## (block1 60-40) - (block5 60-40) -0.20754 0.0226 Inf -9.194 <.0001
## (block1 60-40) - (block6 60-40) -0.29266 0.0227 Inf -12.898 <.0001
## (block1 60-40) - (block1 70-30) -0.21377 0.0225 Inf -9.481 <.0001
## (block1 60-40) - (block2 70-30) -0.49137 0.0231 Inf -21.293 <.0001
## (block1 60-40) - (block3 70-30) -0.59089 0.0233 Inf -25.395 <.0001
## (block1 60-40) - (block4 70-30) -0.65982 0.0234 Inf -28.178 <.0001
## (block1 60-40) - (block5 70-30) -0.71341 0.0235 Inf -30.299 <.0001
## (block1 60-40) - (block6 70-30) -0.77595 0.0237 Inf -32.733 <.0001
## (block1 60-40) - (block1 80-20) -0.44556 0.0228 Inf -19.519 <.0001
## (block1 60-40) - (block2 80-20) -0.76899 0.0237 Inf -32.442 <.0001
## (block1 60-40) - (block3 80-20) -0.93457 0.0242 Inf -38.663 <.0001
## (block1 60-40) - (block4 80-20) -1.04597 0.0245 Inf -42.609 <.0001
## (block1 60-40) - (block5 80-20) -1.14693 0.0249 Inf -46.018 <.0001
## (block1 60-40) - (block6 80-20) -1.18746 0.0251 Inf -47.349 <.0001
## (block2 60-40) - (block3 60-40) -0.08784 0.0227 Inf -3.865 0.0134
## (block2 60-40) - (block4 60-40) -0.10703 0.0227 Inf -4.709 0.0004
## (block2 60-40) - (block5 60-40) -0.15013 0.0228 Inf -6.594 <.0001
## (block2 60-40) - (block6 60-40) -0.23525 0.0229 Inf -10.286 <.0001
## (block2 60-40) - (block1 70-30) -0.15636 0.0228 Inf -6.861 <.0001
## (block2 60-40) - (block2 70-30) -0.43395 0.0232 Inf -18.721 <.0001
## (block2 60-40) - (block3 70-30) -0.53348 0.0234 Inf -22.813 <.0001
## (block2 60-40) - (block4 70-30) -0.60241 0.0235 Inf -25.590 <.0001
## (block2 60-40) - (block5 70-30) -0.65600 0.0237 Inf -27.729 <.0001
## (block2 60-40) - (block6 70-30) -0.71854 0.0238 Inf -30.171 <.0001
## (block2 60-40) - (block1 80-20) -0.38815 0.0231 Inf -16.805 <.0001
## (block2 60-40) - (block2 80-20) -0.71157 0.0238 Inf -29.911 <.0001
## (block2 60-40) - (block3 80-20) -0.87716 0.0243 Inf -36.120 <.0001
## (block2 60-40) - (block4 80-20) -0.98856 0.0246 Inf -40.113 <.0001
## (block2 60-40) - (block5 80-20) -1.08952 0.0250 Inf -43.553 <.0001
## (block2 60-40) - (block6 80-20) -1.13005 0.0252 Inf -44.855 <.0001
## (block3 60-40) - (block4 60-40) -0.01918 0.0228 Inf -0.841 1.0000
## (block3 60-40) - (block5 60-40) -0.06228 0.0229 Inf -2.726 0.3623
## (block3 60-40) - (block6 60-40) -0.14741 0.0230 Inf -6.421 <.0001
## (block3 60-40) - (block1 70-30) -0.06852 0.0229 Inf -2.997 0.2012
## (block3 60-40) - (block2 70-30) -0.34611 0.0233 Inf -14.871 <.0001
## (block3 60-40) - (block3 70-30) -0.44564 0.0235 Inf -18.996 <.0001
## (block3 60-40) - (block4 70-30) -0.51457 0.0236 Inf -21.793 <.0001
## (block3 60-40) - (block5 70-30) -0.56815 0.0237 Inf -23.936 <.0001
## (block3 60-40) - (block6 70-30) -0.63069 0.0239 Inf -26.395 <.0001
## (block3 60-40) - (block1 80-20) -0.30031 0.0232 Inf -12.956 <.0001
## (block3 60-40) - (block2 80-20) -0.62373 0.0239 Inf -26.112 <.0001
## (block3 60-40) - (block3 80-20) -0.78932 0.0243 Inf -32.420 <.0001
## (block3 60-40) - (block4 80-20) -0.90072 0.0247 Inf -36.441 <.0001
## (block3 60-40) - (block5 80-20) -1.00168 0.0251 Inf -39.942 <.0001
## (block3 60-40) - (block6 80-20) -1.04220 0.0253 Inf -41.264 <.0001
## (block4 60-40) - (block5 60-40) -0.04310 0.0228 Inf -1.886 0.9174
## (block4 60-40) - (block6 60-40) -0.12822 0.0230 Inf -5.585 <.0001
## (block4 60-40) - (block1 70-30) -0.04933 0.0229 Inf -2.158 0.7816
## (block4 60-40) - (block2 70-30) -0.32693 0.0233 Inf -14.039 <.0001
## (block4 60-40) - (block3 70-30) -0.42645 0.0235 Inf -18.172 <.0001
## (block4 60-40) - (block4 70-30) -0.49538 0.0236 Inf -20.984 <.0001
## (block4 60-40) - (block5 70-30) -0.54897 0.0237 Inf -23.125 <.0001
## (block4 60-40) - (block6 70-30) -0.61151 0.0239 Inf -25.585 <.0001
## (block4 60-40) - (block1 80-20) -0.28113 0.0232 Inf -12.120 <.0001
## (block4 60-40) - (block2 80-20) -0.60455 0.0239 Inf -25.307 <.0001
## (block4 60-40) - (block3 80-20) -0.77013 0.0244 Inf -31.620 <.0001
## (block4 60-40) - (block4 80-20) -0.88153 0.0247 Inf -35.687 <.0001
## (block4 60-40) - (block5 80-20) -0.98249 0.0251 Inf -39.157 <.0001
## (block4 60-40) - (block6 80-20) -1.02302 0.0253 Inf -40.496 <.0001
## (block5 60-40) - (block6 60-40) -0.08513 0.0230 Inf -3.702 0.0243
## (block5 60-40) - (block1 70-30) -0.00623 0.0229 Inf -0.272 1.0000
## (block5 60-40) - (block2 70-30) -0.28383 0.0233 Inf -12.172 <.0001
## (block5 60-40) - (block3 70-30) -0.38335 0.0235 Inf -16.308 <.0001
## (block5 60-40) - (block4 70-30) -0.45229 0.0237 Inf -19.117 <.0001
## (block5 60-40) - (block5 70-30) -0.50587 0.0238 Inf -21.293 <.0001
## (block5 60-40) - (block6 70-30) -0.56841 0.0239 Inf -23.739 <.0001
## (block5 60-40) - (block1 80-20) -0.23803 0.0232 Inf -10.248 <.0001
## (block5 60-40) - (block2 80-20) -0.56145 0.0239 Inf -23.459 <.0001
## (block5 60-40) - (block3 80-20) -0.72703 0.0244 Inf -29.801 <.0001
## (block5 60-40) - (block4 80-20) -0.83844 0.0248 Inf -33.855 <.0001
## (block5 60-40) - (block5 80-20) -0.93939 0.0251 Inf -37.426 <.0001
## (block5 60-40) - (block6 80-20) -0.97992 0.0253 Inf -38.733 <.0001
## (block6 60-40) - (block1 70-30) 0.07889 0.0230 Inf 3.428 0.0607
## (block6 60-40) - (block2 70-30) -0.19870 0.0234 Inf -8.484 <.0001
## (block6 60-40) - (block3 70-30) -0.29823 0.0236 Inf -12.630 <.0001
## (block6 60-40) - (block4 70-30) -0.36716 0.0238 Inf -15.455 <.0001
## (block6 60-40) - (block5 70-30) -0.42075 0.0239 Inf -17.619 <.0001
## (block6 60-40) - (block6 70-30) -0.48329 0.0240 Inf -20.113 <.0001
## (block6 60-40) - (block1 80-20) -0.15290 0.0233 Inf -6.556 <.0001
## (block6 60-40) - (block2 80-20) -0.47632 0.0240 Inf -19.821 <.0001
## (block6 60-40) - (block3 80-20) -0.64191 0.0245 Inf -26.205 <.0001
## (block6 60-40) - (block4 80-20) -0.75331 0.0249 Inf -30.302 <.0001
## (block6 60-40) - (block5 80-20) -0.85427 0.0252 Inf -33.880 <.0001
## (block6 60-40) - (block6 80-20) -0.89480 0.0254 Inf -35.252 <.0001
## (block1 70-30) - (block2 70-30) -0.27759 0.0233 Inf -11.911 <.0001
## (block1 70-30) - (block3 70-30) -0.37712 0.0235 Inf -16.050 <.0001
## (block1 70-30) - (block4 70-30) -0.44605 0.0236 Inf -18.862 <.0001
## (block1 70-30) - (block5 70-30) -0.49964 0.0238 Inf -21.028 <.0001
## (block1 70-30) - (block6 70-30) -0.56218 0.0239 Inf -23.499 <.0001
## (block1 70-30) - (block1 80-20) -0.23179 0.0232 Inf -9.991 <.0001
## (block1 70-30) - (block2 80-20) -0.55521 0.0239 Inf -23.202 <.0001
## (block1 70-30) - (block3 80-20) -0.72080 0.0244 Inf -29.539 <.0001
## (block1 70-30) - (block4 80-20) -0.83220 0.0248 Inf -33.607 <.0001
## (block1 70-30) - (block5 80-20) -0.93316 0.0251 Inf -37.139 <.0001
## (block1 70-30) - (block6 80-20) -0.97369 0.0253 Inf -38.479 <.0001
## (block2 70-30) - (block3 70-30) -0.09952 0.0239 Inf -4.160 0.0042
## (block2 70-30) - (block4 70-30) -0.16846 0.0241 Inf -7.000 <.0001
## (block2 70-30) - (block5 70-30) -0.22204 0.0242 Inf -9.181 <.0001
## (block2 70-30) - (block6 70-30) -0.28458 0.0243 Inf -11.688 <.0001
## (block2 70-30) - (block1 80-20) 0.04580 0.0236 Inf 1.939 0.8972
## (block2 70-30) - (block2 80-20) -0.27762 0.0243 Inf -11.408 <.0001
## (block2 70-30) - (block3 80-20) -0.44320 0.0248 Inf -17.878 <.0001
## (block2 70-30) - (block4 80-20) -0.55461 0.0251 Inf -22.053 <.0001
## (block2 70-30) - (block5 80-20) -0.65556 0.0255 Inf -25.699 <.0001
## (block2 70-30) - (block6 80-20) -0.69609 0.0257 Inf -27.110 <.0001
## (block3 70-30) - (block4 70-30) -0.06893 0.0243 Inf -2.843 0.2860
## (block3 70-30) - (block5 70-30) -0.12252 0.0244 Inf -5.029 0.0001
## (block3 70-30) - (block6 70-30) -0.18506 0.0245 Inf -7.546 <.0001
## (block3 70-30) - (block1 80-20) 0.14533 0.0238 Inf 6.104 <.0001
## (block3 70-30) - (block2 80-20) -0.17810 0.0245 Inf -7.266 <.0001
## (block3 70-30) - (block3 80-20) -0.34368 0.0250 Inf -13.766 <.0001
## (block3 70-30) - (block4 80-20) -0.45508 0.0253 Inf -17.970 <.0001
## (block3 70-30) - (block5 80-20) -0.55604 0.0257 Inf -21.652 <.0001
## (block3 70-30) - (block6 80-20) -0.59657 0.0258 Inf -23.083 <.0001
## (block4 70-30) - (block5 70-30) -0.05359 0.0245 Inf -2.187 0.7629
## (block4 70-30) - (block6 70-30) -0.11613 0.0247 Inf -4.709 0.0004
## (block4 70-30) - (block1 80-20) 0.21426 0.0240 Inf 8.945 <.0001
## (block4 70-30) - (block2 80-20) -0.10916 0.0247 Inf -4.428 0.0013
## (block4 70-30) - (block3 80-20) -0.27475 0.0251 Inf -10.943 <.0001
## (block4 70-30) - (block4 80-20) -0.38615 0.0255 Inf -15.168 <.0001
## (block4 70-30) - (block5 80-20) -0.48711 0.0258 Inf -18.874 <.0001
## (block4 70-30) - (block6 80-20) -0.52764 0.0260 Inf -20.308 <.0001
## (block5 70-30) - (block6 70-30) -0.06254 0.0248 Inf -2.524 0.5115
## (block5 70-30) - (block1 80-20) 0.26784 0.0241 Inf 11.126 <.0001
## (block5 70-30) - (block2 80-20) -0.05558 0.0248 Inf -2.244 0.7238
## (block5 70-30) - (block3 80-20) -0.22116 0.0252 Inf -8.770 <.0001
## (block5 70-30) - (block4 80-20) -0.33257 0.0256 Inf -13.007 <.0001
## (block5 70-30) - (block5 80-20) -0.43352 0.0259 Inf -16.726 <.0001
## (block5 70-30) - (block6 80-20) -0.47405 0.0261 Inf -18.173 <.0001
## (block6 70-30) - (block1 80-20) 0.33038 0.0242 Inf 13.632 <.0001
## (block6 70-30) - (block2 80-20) 0.00696 0.0249 Inf 0.279 1.0000
## (block6 70-30) - (block3 80-20) -0.15862 0.0254 Inf -6.253 <.0001
## (block6 70-30) - (block4 80-20) -0.27003 0.0257 Inf -10.501 <.0001
## (block6 70-30) - (block5 80-20) -0.37098 0.0261 Inf -14.235 <.0001
## (block6 70-30) - (block6 80-20) -0.41151 0.0262 Inf -15.685 <.0001
## (block1 80-20) - (block2 80-20) -0.32342 0.0242 Inf -13.362 <.0001
## (block1 80-20) - (block3 80-20) -0.48901 0.0247 Inf -19.829 <.0001
## (block1 80-20) - (block4 80-20) -0.60041 0.0250 Inf -23.996 <.0001
## (block1 80-20) - (block5 80-20) -0.70137 0.0254 Inf -27.645 <.0001
## (block1 80-20) - (block6 80-20) -0.74189 0.0256 Inf -29.025 <.0001
## (block2 80-20) - (block3 80-20) -0.16558 0.0254 Inf -6.529 <.0001
## (block2 80-20) - (block4 80-20) -0.27699 0.0257 Inf -10.774 <.0001
## (block2 80-20) - (block5 80-20) -0.37794 0.0261 Inf -14.505 <.0001
## (block2 80-20) - (block6 80-20) -0.41847 0.0262 Inf -15.957 <.0001
## (block3 80-20) - (block4 80-20) -0.11140 0.0261 Inf -4.261 0.0027
## (block3 80-20) - (block5 80-20) -0.21236 0.0265 Inf -8.018 <.0001
## (block3 80-20) - (block6 80-20) -0.25289 0.0267 Inf -9.489 <.0001
## (block4 80-20) - (block5 80-20) -0.10096 0.0268 Inf -3.765 0.0194
## (block4 80-20) - (block6 80-20) -0.14148 0.0270 Inf -5.244 <.0001
## (block5 80-20) - (block6 80-20) -0.04053 0.0273 Inf -1.484 0.9918
##
## Results are given on the log odds ratio (not the response) scale.
## P value adjustment: tukey method for comparing a family of 18 estimates#labels for comparisons
pairwise_interactions_df <- as.data.frame(pairwise_interations_emm)
library(dplyr)
library(stringr)
pairwise_interactions_labeled <- pairwise_interactions_df %>%
mutate(
# Extract block comparisons (only for blocks 1-6)
Block_Comparison = str_extract(contrast, "block[1-6]+ - block[1-6]+"),
# Extract trial types (60-40, 70-30, 80-20)
Trial_Type_Comparison = str_extract(contrast, "60-40|70-30|80-20"),
# Categorize the comparison type
Comparison_Type = case_when(
grepl("block", contrast) & grepl("60-40", contrast) ~ "Within Block (60-40)",
grepl("block", contrast) & grepl("70-30", contrast) ~ "Within Block (70-30)",
grepl("block", contrast) & grepl("80-20", contrast) ~ "Within Block (80-20)",
grepl("60-40", contrast) & grepl("70-30", contrast) ~ "Between Trial Types (60-40 vs. 70-30)",
grepl("60-40", contrast) & grepl("80-20", contrast) ~ "Between Trial Types (60-40 vs. 80-20)",
grepl("70-30", contrast) & grepl("80-20", contrast) ~ "Between Trial Types (70-30 vs. 80-20)",
TRUE ~ "Other"
)
)# Main Effects by Block
#main effects plot for blocks
emm_blocks_df <- as.data.frame(emm_blocks_H1)
emm_blocks_H1## block emmean SE df asymp.LCL asymp.UCL
## 1 0.555 0.0248 Inf 0.506 0.603
## 2 0.774 0.0249 Inf 0.725 0.823
## 3 0.892 0.0250 Inf 0.843 0.941
## 4 0.958 0.0250 Inf 0.909 1.007
## 5 1.024 0.0251 Inf 0.975 1.073
## 6 1.087 0.0251 Inf 1.038 1.136
##
## Results are averaged over the levels of: type
## Results are given on the logit (not the response) scale.
## Confidence level used: 0.95ggplot(emm_blocks_df, aes(x = block, y = emmean)) +
geom_point(size = 1.5) +
geom_line(size = 0.5 ) + geom_errorbar(aes(ymin = asymp.LCL, ymax =asymp.UCL), width = 0.2) +
labs(
title = "Main Effect of Block on Optimal Choice",
x = "Block",
y = "Estimated Marginal Mean (Log Odds)"
) +
theme_gray() + theme(plot.title = element_text(hjust = 0.5, size = 14, face = "bold"))## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
## (as 'lib' is unspecified)## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
## (as 'lib' is unspecified)LMM_labels <- LMM_original_tidy[, c("term", "estimate", "std.error", "statistic", "p.value")]
colnames(LMM_labels) <- c("Term", "Estimate", "Std. Error", "z-Value", "p-Value")
LMM_labels## # A tibble: 19 × 5
## Term Estimate `Std. Error` `z-Value` `p-Value`
## <chr> <dbl> <dbl> <dbl> <dbl>
## 1 (Intercept) 0.335 0.0278 12.0 2.16e-33
## 2 block2 0.0574 0.0224 2.56 1.05e- 2
## 3 block3 0.145 0.0225 6.45 1.14e-10
## 4 block4 0.164 0.0225 7.30 2.95e-13
## 5 block5 0.208 0.0226 9.19 3.78e-20
## 6 block6 0.293 0.0227 12.9 4.61e-38
## 7 type70-30 0.214 0.0225 9.48 2.51e-21
## 8 type80-20 0.446 0.0228 19.5 7.51e-85
## 9 block2:type70-30 0.220 0.0323 6.82 8.81e-12
## 10 block3:type70-30 0.232 0.0325 7.14 9.28e-13
## 11 block4:type70-30 0.282 0.0326 8.64 5.50e-18
## 12 block5:type70-30 0.292 0.0327 8.94 3.87e-19
## 13 block6:type70-30 0.270 0.0329 8.20 2.48e-16
## 14 block2:type80-20 0.266 0.0329 8.09 6.01e-16
## 15 block3:type80-20 0.344 0.0333 10.3 5.31e-25
## 16 block4:type80-20 0.436 0.0335 13.0 1.21e-38
## 17 block5:type80-20 0.494 0.0338 14.6 2.67e-48
## 18 block6:type80-20 0.449 0.0341 13.2 1.06e-39
## 19 sd__(Intercept) 0.679 NA NA NA## Residuals
#residuals and fitted values
residuals_glmm <- resid(LMM_mod_H1, type = "pearson")
fitted_values_glmm <- fitted(LMM_mod_H1)
# Create scatterplot
ggplot(data.frame(Residuals = residuals_glmm, Fitted = fitted_values_glmm), aes(x = Fitted, y = Residuals)) +
geom_point(alpha = 0.5, color = "blue") +
geom_hline(yintercept = 0, linetype = "dashed", color = "red") +
labs(
title = "Residuals vs. Fitted Values",
x = "Fitted Values",
y = "Residuals"
) +
theme_minimal()
#Q-Q plot
ggplot(data.frame(Residuals = residuals_glmm), aes(sample = Residuals)) +
stat_qq(color = "blue", alpha = 0.7) +
stat_qq_line(color = "red", linetype = "dashed") +
labs(
title = "Q-Q Plot of Residuals",
x = "Theoretical Quantiles",
y = "Sample Quantiles"
) +
theme_minimal()
0.1.2 Model Comparisions
# Main effects only model
mod_main_effects_h1 <- glmer(optimal_choice ~ block + type + (1 | ID),
data = data_LMM_h1,
family = binomial,
control = glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 1e+05)))
mod_main_effects_h1## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: optimal_choice ~ block + type + (1 | ID)
## Data: data_LMM_h1
## AIC BIC logLik deviance df.resid
## 364765.3 364861.3 -182373.7 364747.3 315320
## Random effects:
## Groups Name Std.Dev.
## ID (Intercept) 0.6793
## Number of obs: 315329, groups: ID, 880
## Fixed Effects:
## (Intercept) block2 block3 block4 block5 block6
## 0.1620 0.2153 0.3302 0.3923 0.4547 0.5195
## type70-30 type80-20
## 0.4276 0.7682# Main effects only model
mod_main_effects_h1 <- glmer(optimal_choice ~ block + type + (1 | ID),
data = data_LMM_h1,
family = binomial,
control = glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 1e+05)))
mod_main_effects_h1## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: optimal_choice ~ block + type + (1 | ID)
## Data: data_LMM_h1
## AIC BIC logLik deviance df.resid
## 364765.3 364861.3 -182373.7 364747.3 315320
## Random effects:
## Groups Name Std.Dev.
## ID (Intercept) 0.6793
## Number of obs: 315329, groups: ID, 880
## Fixed Effects:
## (Intercept) block2 block3 block4 block5 block6
## 0.1620 0.2153 0.3302 0.3923 0.4547 0.5195
## type70-30 type80-20
## 0.4276 0.7682# Likelihood Ratio Test for model comparison
model_comparison <- anova(mod_main_effects_h1, LMM_mod_H1)
print(model_comparison)## Data: data_LMM_h1
## Models:
## mod_main_effects_h1: optimal_choice ~ block + type + (1 | ID)
## LMM_mod_H1: optimal_choice ~ block * type + (1 | ID)
## npar AIC BIC logLik deviance Chisq Df Pr(>Chisq)
## mod_main_effects_h1 9 364765 364861 -182374 364747
## LMM_mod_H1 19 364480 364683 -182221 364442 305.31 10 < 2.2e-16
##
## mod_main_effects_h1
## LMM_mod_H1 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Data: data_LMM_h1
## Models:
## mod_main_effects_h1: optimal_choice ~ block + type + (1 | ID)
## LMM_mod_H1: optimal_choice ~ block * type + (1 | ID)
## npar AIC BIC logLik deviance Chisq Df Pr(>Chisq)
## mod_main_effects_h1 9 364765 364861 -182374 364747
## LMM_mod_H1 19 364480 364683 -182221 364442 305.31 10 < 2.2e-16
##
## mod_main_effects_h1
## LMM_mod_H1 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 10.2 Hypothesis 2:
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ forcats 1.0.0 ✔ readr 2.1.5
## ✔ lubridate 1.9.4 ✔ tidyr 1.3.1
## ✔ purrr 1.0.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ purrr::compose() masks flextable::compose()
## ✖ tidyr::expand() masks Matrix::expand()
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ✖ tidyr::pack() masks Matrix::pack()
## ✖ tidyr::unpack() masks Matrix::unpack()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors## Loading required package: carData
##
## Attaching package: 'car'
##
## The following object is masked from 'package:purrr':
##
## some
##
## The following object is masked from 'package:dplyr':
##
## recodedata_task_h2 <- data_task <- read.csv("task_data_18_h2.csv")
# Condition and trial type to factors
data_task_h2 <- data_task %>%
mutate(
condition = factor(condition), # Treatment vs Control
type = factor(type), # Trial types: "80-20", "70-30", "60-40"
block = as.numeric(block) # Numeric blocks for ordering
)## 'data.frame': 316800 obs. of 11 variables:
## $ ID : int 1 1 1 1 1 1 1 1 1 1 ...
## $ condition : Factor w/ 2 levels "control","treatment": 2 2 2 2 2 2 2 2 2 2 ...
## $ trial : int 1 2 3 4 5 6 7 8 9 10 ...
## $ block : num 1 1 1 1 1 1 1 1 1 1 ...
## $ type : Factor w/ 3 levels "60-40","70-30",..: 1 1 3 3 2 1 2 2 3 3 ...
## $ choice : chr "L" "H" "H" "L" ...
## $ rt : num 1786 1118 1904 1730 939 ...
## $ reward : int 0 0 0 0 0 1 1 0 1 1 ...
## $ affect_type : chr "confident" "engaged" "happy" "engaged" ...
## $ affect_response: int 39 52 35 22 35 25 33 35 33 25 ...
## $ affect_rt : num 11380 4976 3946 3249 3050 ...# Convert choice to numeric (binary: 1 for "H", 0 for "L")
data_task_h2 <- data_task %>%
mutate(choice = ifelse(choice == "H", 1, 0))
# Summarize data by condition, block, and trial type
descriptive_stats_h2 <- data_task_h2 %>%
group_by(condition, block, type) %>%
summarise(
mean_choice = mean(choice, na.rm = TRUE),
sd_choice = sd(choice, na.rm = TRUE),
n = n(),
.groups = "drop"
)0.3 Linear Mixed Effects Model (Hypothesis 2)
data_wide_h2 <- read.csv("particpant_data_18_h2.csv")
# Wide-format data converted (optimal_1 to optimal_6) to long format, excluding `optimal_total`
data_mixd_h2 <- data_wide_h2 %>%
select(ID, condition, starts_with("optimal_")) %>%
select(-optimal_total) %>%
pivot_longer(
cols = starts_with("optimal_"), # only block-level variables
names_to = "block", # new column for blocks
names_prefix = "optimal_", # "optimal_" prefix
values_to = "optimal_choice" # Name column for choice proportions
) %>%
mutate(
block = as.numeric(block), # block to numeric
condition = factor(condition) # Condition is a factor
)# Summary data by condition and block
descriptive_stats_mixd <- data_mixd_h2 %>%
group_by(condition, block) %>%
summarise(
mean_optimal = mean(optimal_choice, na.rm = TRUE),
sd_optimal = sd(optimal_choice, na.rm = TRUE),
n = n(),
.groups = "drop"
)
print(descriptive_stats_mixd)## # A tibble: 12 × 5
## condition block mean_optimal sd_optimal n
## <fct> <dbl> <dbl> <dbl> <int>
## 1 control 1 0.618 0.123 440
## 2 control 2 0.658 0.141 440
## 3 control 3 0.679 0.150 440
## 4 control 4 0.692 0.157 440
## 5 control 5 0.699 0.158 440
## 6 control 6 0.716 0.164 440
## 7 treatment 1 0.622 0.124 440
## 8 treatment 2 0.671 0.145 440
## 9 treatment 3 0.695 0.152 440
## 10 treatment 4 0.707 0.159 440
## 11 treatment 5 0.723 0.163 440
## 12 treatment 6 0.730 0.162 440H2_lineplot <- ggplot(descriptive_stats_mixd, aes(x = block, y = mean_optimal, color = condition, group = condition)) +
geom_line(size = 1) +
geom_point(size = 1.5) +
geom_errorbar(aes(ymin = mean_optimal - sd_optimal, ymax = mean_optimal + sd_optimal), width = 0.2) +
labs(
title = "Mean Proportion of Optimal Choices Across Blocks by Condition",
x = "Block",
y = "Mean Proportion of Optimal Choices",
color = "Condition"
) +
scale_x_continuous(
breaks = 1:6,
labels = paste("Block", 1:6)
) +
scale_color_manual(values = c("blue", "#87CEEB")) +
theme_minimal(base_size = 12) + # APA-7 font
theme(
panel.background = element_rect(fill = "gray95", color = NA),
plot.title = element_text(hjust = 0.5, size = 14, face = "bold"), # Centered title
axis.title = element_text(size = 12),
axis.text = element_text(size = 10),
legend.position = "top"
)
H2_lineplot
0.3.1 Linear Mixed Effects Model (Fit)
# Fit linear mixed-effects model
lmm_model_h2 <- lmer(
optimal_choice ~ condition * block + (1 | ID), # Random intercepts for participants
data = data_mixd_h2
)
summary(lmm_model_h2)## Linear mixed model fit by REML ['lmerMod']
## Formula: optimal_choice ~ condition * block + (1 | ID)
## Data: data_mixd_h2
##
## REML criterion at convergence: -8015
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.8342 -0.5839 0.0188 0.6309 3.6150
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 0.014200 0.11916
## Residual 0.008549 0.09246
## Number of obs: 5280, groups: ID, 880
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.614155 0.007008 87.637
## conditiontreatment 0.006577 0.009911 0.664
## block 0.017963 0.001054 17.047
## conditiontreatment:block 0.002282 0.001490 1.531
##
## Correlation of Fixed Effects:
## (Intr) cndtnt block
## cndtntrtmnt -0.707
## block -0.526 0.372
## cndtntrtmn: 0.372 -0.526 -0.7070.3.1.1 ANOVA (fixed)
## Analysis of Variance Table
## npar Sum Sq Mean Sq F value
## condition 1 0.0255 0.0255 2.9860
## block 1 5.6202 5.6202 657.4026
## condition:block 1 0.0200 0.0200 2.3445## Computing profile confidence intervals ...## 2.5 % 97.5 %
## .sig01 0.11310801 0.125372720
## .sigma 0.09054205 0.094405844
## (Intercept) 0.60042359 0.627886169
## conditiontreatment -0.01284207 0.025995882
## block 0.01589760 0.020027965
## conditiontreatment:block -0.00063895 0.005202275
## QQ Plots
qqplot_lmm <- qqnorm(resid(lmm_model_h2))
qqline(resid(lmm_model_h2), col = "red", lwd = 2)
#random subset of residuals (e.g., 500 values)
set.seed(123) # For reproducibility
subset_resid <- sample(resid(lmm_model_h2), 500)
# Shapiro-Wilk test on the subset
shapiro.test(subset_resid)##
## Shapiro-Wilk normality test
##
## data: subset_resid
## W = 0.99372, p-value = 0.036220.3.2 Post-Hoc Comparisons
# Post-Hoc Tests
library(emmeans)
# Estimated marginal means for condition and block
emmeans_results_h2 <- emmeans(lmm_model_h2, ~ condition | block)## Note: D.f. calculations have been disabled because the number of observations exceeds 3000.
## To enable adjustments, add the argument 'pbkrtest.limit = 5280' (or larger)
## [or, globally, 'set emm_options(pbkrtest.limit = 5280)' or larger];
## but be warned that this may result in large computation time and memory use.## Note: D.f. calculations have been disabled because the number of observations exceeds 3000.
## To enable adjustments, add the argument 'lmerTest.limit = 5280' (or larger)
## [or, globally, 'set emm_options(lmerTest.limit = 5280)' or larger];
## but be warned that this may result in large computation time and memory use.options(emmeans.no.df.adjustments = TRUE)
# Pairwise comparisons with Bonferroni adjustment
contrast_results <- contrast(emmeans_results_h2, method = "pairwise", adjust = "bonferroni")
contrast_results## block = 3.5:
## contrast estimate SE df z.ratio p.value
## control - treatment -0.0146 0.00843 Inf -1.728 0.0840
##
## Degrees-of-freedom method: asymptotic0.4 Random Effects
# Extract random effects
random_effectsh2 <- ranef(lmm_model_h2)$ID
# Summary of random effects
random_effectsh2## (Intercept)
## 1 -0.1034310847
## 2 -0.0714421149
## 3 0.0181786282
## 4 -0.1384313347
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## 877 -0.0417076152
## 878 0.0470824650
## 879 -0.0725250836
## 880 -0.1865048636# Standard deviation of random effects
sd_random_effectsh2 <- sd(unlist(random_effectsh2))
print(sd_random_effectsh2)## [1] 0.1135357# Convert random effects to a data frame for plotting
random_effects_df <- as.data.frame(random_effectsh2)
random_effects_df <- tibble::rownames_to_column(random_effects_df, var = "ID")
random_effects_df## ID (Intercept)
## 1 1 -0.1034310847
## 2 2 -0.0714421149
## 3 3 0.0181786282
## 4 4 -0.1384313347
## 5 5 -0.1044151993
## 6 6 0.0489355295
## 7 7 -0.0465870314
## 8 8 0.1218589456
## 9 9 -0.0990992099
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## 11 11 0.1361366414
## 12 12 0.0304218621
## 13 13 0.1919316610
## 14 14 0.0256296518
## 15 15 0.0732816691
## 16 16 -0.0156175866
## 17 17 0.0581348617
## 18 18 0.0833795408
## 19 19 0.0474513236
## 20 20 -0.0958576810
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## 23 23 -0.0887843685
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## 26 26 0.1117610739
## 27 27 -0.0384233730
## 28 28 0.1767848535
## 29 29 -0.2585227449
## 30 30 -0.0352704511
## 31 31 -0.1310290814
## 32 32 0.0274989460
## 33 33 0.1917177230
## 34 34 0.1041876702
## 35 35 0.1785880449
## 36 36 -0.1469327056
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## 38 38 0.1260521296
## 39 39 0.0424318155
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## 879 879 -0.0725250836
## 880 880 -0.1865048636# Extract variance components
var_components <- as.data.frame(VarCorr(lmm_model_h2))
print(var_components)## grp var1 var2 vcov sdcor
## 1 ID (Intercept) <NA> 0.014199948 0.11916354
## 2 Residual <NA> <NA> 0.008549097 0.09246133#variance values
random_intercept_var <- as.numeric(var_components[1, "vcov"]) # Random intercept variance
residual_var <- as.numeric(var_components[2, "vcov"]) # Residual variance
# Calculate ICC
icc <- random_intercept_var / (random_intercept_var + residual_var)
print(paste("Intraclass Correlation Coefficient (ICC):", round(icc, 3)))## [1] "Intraclass Correlation Coefficient (ICC): 0.624"# Calculate marginal and conditional R²
library(performance)
model_r2 <- r2(lmm_model_h2)
print(model_r2)## # R2 for Mixed Models
##
## Conditional R2: 0.642
## Marginal R2: 0.047## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
## (as 'lib' is unspecified)## Suggested APA citation: Thériault, R. (2023). rempsyc: Convenience functions for psychology.
## Journal of Open Source Software, 8(87), 5466. https://doi.org/10.21105/joss.05466#data for the table
variance_table <- data.frame(
Component = c("Random Effects (ID)", "Residual", "Total Variance"),
Variance = c(random_intercept_var, residual_var, random_intercept_var + residual_var),
`Standard Deviation` = c(sqrt(random_intercept_var), sqrt(residual_var), NA),
`Proportion of Variance (%)` = c(
round((random_intercept_var / (random_intercept_var + residual_var)) * 100, 1),
round((residual_var / (random_intercept_var + residual_var)) * 100, 1),
100
)
)
variance_table## Component Variance Standard.Deviation Proportion.of.Variance....
## 1 Random Effects (ID) 0.014199948 0.11916354 62.4
## 2 Residual 0.008549097 0.09246133 37.6
## 3 Total Variance 0.022749045 NA 100.0# Create an APA-style table
var_tab_h2 <- nice_table(
variance_table,
title = "Table 2. Variance Components and Intraclass Correlation Coefficient (ICC)",
note = "The table presents variance components for participant-level random effects (ID), residual variance, and their proportions of total variance. The ICC indicates the proportion of variance explained by participant-level random effects."
)0.5 Hypothesis 3:
The Effect of Distancing Intervention on Affective Reactions in the Reward Learning Task.
## Data Preparation
data_part_h3_2 <- read.csv("particpant_data_18.csv")
data_task_h3_2 <- read.csv("task_data_18.csv")## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
## (as 'lib' is unspecified)## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
## (as 'lib' is unspecified)## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
## (as 'lib' is unspecified)library(tidyverse)
library(lme4)
#Simple Model Data
data_simple_h3 <- data_part_h3_2 %>%
select(
ID,
condition,
starts_with("affect_reward"),
starts_with("affect_noreward"),
starts_with("reward")
)# Reshape data to long format
longdata_simple_h3_4 <- data_simple_h3 %>%
pivot_longer(
cols = starts_with("affect"),
names_to = "variable",
values_to = "affect_rating"
) %>%
mutate(
# Define reward_status based on whether the variable includes "reward" or "noreward"
reward_status = case_when(
str_detect(variable, "noreward") ~ "0", # No reward variables
str_detect(variable, "reward") ~ "1" # Reward variables
),
# Extract block number from the variable name or set as "total" for total columns
block = case_when(
str_detect(variable, "_total$") ~ "total",
TRUE ~ str_extract(variable, "\\d$") # Extract numeric block number
)
) %>%
# Ensure reward_status is treated as a factor with levels 0 and 1
mutate(
reward_status = factor(reward_status, levels = c("0", "1"), labels = c("No Reward", "Reward")),
block = factor(block, levels = c("1", "2", "3", "4", "5", "6", "total")) # Ensure block is a factor
) %>%
# Drop rows with NA in affect_rating or other critical columns (if needed)
filter(!is.na(affect_rating))
longdata_simple_h3_4$condition <- factor(longdata_simple_h3_4$condition, levels = c("control", "treatment"))
str(longdata_simple_h3_4)## tibble [12,320 × 13] (S3: tbl_df/tbl/data.frame)
## $ ID : int [1:12320] 1 1 1 1 1 1 1 1 1 1 ...
## $ condition : Factor w/ 2 levels "control","treatment": 2 2 2 2 2 2 2 2 2 2 ...
## $ reward_1 : num [1:12320] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...
## $ reward_2 : num [1:12320] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ...
## $ reward_3 : num [1:12320] 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 ...
## $ reward_4 : num [1:12320] 0.55 0.55 0.55 0.55 0.55 0.55 0.55 0.55 0.55 0.55 ...
## $ reward_5 : num [1:12320] 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 ...
## $ reward_6 : num [1:12320] 0.383 0.383 0.383 0.383 0.383 ...
## $ reward_total : num [1:12320] 0.506 0.506 0.506 0.506 0.506 ...
## $ variable : chr [1:12320] "affect_reward_1" "affect_reward_2" "affect_reward_3" "affect_reward_4" ...
## $ affect_rating: num [1:12320] 35.6 28.8 27 36.3 29.8 ...
## $ reward_status: Factor w/ 2 levels "No Reward","Reward": 2 2 2 2 2 2 2 1 1 1 ...
## $ block : Factor w/ 7 levels "1","2","3","4",..: 1 2 3 4 5 6 7 1 2 3 ...## [1] "No Reward" "Reward"0.5.1 Plots
# Custom colors for the plot
custom_colors <- c("No Reward" = "deep sky blue", "Reward" = "mediumblue")
line_plot_h3 <- ggplot(longdata_simple_h3_4_plot, aes(x = affect_rating, y = block, color = reward_status, group = reward_status)) +
geom_line(stat = "summary", fun = mean, linewidth = 0.8) + # Thinner line for clarity
facet_wrap(~condition) + # Separate facets for control/treatment
scale_color_manual(values = c("No Reward" = "deep sky blue", "Reward" = "mediumblue")) + # Custom colors
labs(
title = "Affect Ratings Across Blocks by Condition and Reward Status",
x = "Mean Affect Rating",
y = "Block",
color = "Reward Status"
) +
theme_minimal(base_size = 12) + # APA-compliant base font size
theme(
plot.background = element_rect(fill = "gray95", color = NA), # Light gray background
panel.grid.major = element_line(color = "white"), # White major gridlines
panel.grid.minor = element_line(color = "white"), # White minor gridlines
plot.title = element_text(hjust = 0.5, face = "bold"), # Center the title
axis.title = element_text(size = 12), # APA-compliant font size
axis.text = element_text(size = 10), # APA-compliant font size
strip.text = element_text(size = 12), # Facet label size
legend.position = "top", # Move legend to the top
legend.title = element_text(size = 10), # Smaller font for legend title
legend.text = element_text(size = 8) # Smaller font for legend text
) +
coord_flip() + # Flip axes to put blocks on the y-axis
theme(
aspect.ratio = 0.5 # Make the plot wider
)
print(line_plot_h3)
##
## Attaching package: 'lmerTest'## The following object is masked from 'package:lme4':
##
## lmer## The following object is masked from 'package:stats':
##
## stepmixd_model_h3 <- lmer(
affect_rating ~ reward_status * condition + (1 | ID),
data = longdata_simple_h3_4
)
mixd_model_h3## Linear mixed model fit by REML ['lmerModLmerTest']
## Formula: affect_rating ~ reward_status * condition + (1 | ID)
## Data: longdata_simple_h3_4
## REML criterion at convergence: 94068.51
## Random effects:
## Groups Name Std.Dev.
## ID (Intercept) 15.648
## Residual 9.674
## Number of obs: 12320, groups: ID, 880
## Fixed Effects:
## (Intercept) reward_statusReward
## 42.50597 7.07599
## conditiontreatment reward_statusReward:conditiontreatment
## -0.03715 0.07986## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: affect_rating ~ reward_status * condition + (1 | ID)
## Data: longdata_simple_h3_4
##
## REML criterion at convergence: 94068.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.5398 -0.4780 -0.0118 0.4576 4.9551
##
## Random effects:
## Groups Name Variance Std.Dev.
## ID (Intercept) 244.86 15.648
## Residual 93.58 9.674
## Number of obs: 12320, groups: ID, 880
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 4.251e+01 7.661e-01 9.252e+02 55.485
## reward_statusReward 7.076e+00 2.465e-01 1.144e+04 28.705
## conditiontreatment -3.715e-02 1.083e+00 9.252e+02 -0.034
## reward_statusReward:conditiontreatment 7.986e-02 3.486e-01 1.144e+04 0.229
## Pr(>|t|)
## (Intercept) <2e-16 ***
## reward_statusReward <2e-16 ***
## conditiontreatment 0.973
## reward_statusReward:conditiontreatment 0.819
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) rwrd_R cndtnt
## rwrd_sttsRw -0.161
## cndtntrtmnt -0.707 0.114
## rwrd_sttsR: 0.114 -0.707 -0.161## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## reward_status 155960 155960 1 11438 1666.6295 <2e-16 ***
## condition 0 0 1 878 0.0000 0.9979
## reward_status:condition 5 5 1 11438 0.0525 0.8188
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 10.5.1.1 Model Diagnostics and Fit
### Model Diagnostics
#residuals and fitted values
mixd_residuals_h3 <- resid(mixd_model_h3)
mixd_fitted_h3 <- fitted(mixd_model_h3)
mixd_h3_resid <- data.frame(
predicted = predict(mixd_model_h3), # Predicted values from the model
residual = residuals(mixd_model_h3) # Residuals from the model
)
# Residuals vs. Predicted Values Plot
mixd_h3_resid_plot <- ggplot(mixd_h3_resid, aes(x = predicted, y = residual)) +
geom_point(alpha = 0.5) +
geom_hline(yintercept = 0,) + # Reference line at zero
labs(
title = "Residuals vs. Predicted Values",
x = "Predicted Values",
y = "Residuals"
) +
theme_minimal() +
theme(
plot.title = element_text(hjust = 0.5, face = "bold"), # Center title
axis.title = element_text(size = 12), # Adjust axis title size
axis.text = element_text(size = 10) # Adjust axis text size
)
mixd_h3_resid_plot
# Q-Q Plot for Normality of Residuals
QQ_plot_h3_mixd <-qqnorm(mixd_residuals_h3)
qqline(mixd_residuals_h3, col = "blue")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
## (as 'lib' is unspecified)
## Residuals Histograms
h3_mod_dat <- data.frame(
predicted = predict(mixd_model_h3),
residual = residuals(mixd_model_h3)
)
ggplot(h3_mod_dat, aes(x = residual)) +
geom_histogram(bins = 30, fill = "gray", alpha = 0.7) +
labs(
title = "Histogram of Residuals",
x = "Residuals",
y = "Frequency"
) +
theme_minimal()
0.5.2 Variance Partitioning
# Variance partitioning (ICC)
random_effects_var <- as.data.frame(VarCorr(mixd_model_h3))
total_variance <- sum(random_effects_var$vcov)
icc <- random_effects_var$vcov[1] / total_variance
icc## [1] 0.72350280.5.3 Multi-collinearity Diagnostics
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
## (as 'lib' is unspecified)0.5.3.1 Estimated Marginal Means
library(emmeans)
# EMMs for Mixed_Model 1
emm_options(pbkrtest.limit = 12320, lmerTest.limit = 12320, df = "asymptotic")
emms_mixd_h3 <- emmeans(mixd_model_h3, ~ reward_status * condition)
# Display the estimated marginal means
summary(emms_mixd_h3)## reward_status condition emmean SE df lower.CL upper.CL
## No Reward control 42.5 0.766 925 41.0 44.0
## Reward control 49.6 0.766 925 48.1 51.1
## No Reward treatment 42.5 0.766 925 41.0 44.0
## Reward treatment 49.6 0.766 925 48.1 51.1
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## contrast estimate SE df t.ratio p.value
## No Reward control - Reward control -7.0760 0.247 11438 -28.705 <.0001
## No Reward control - No Reward treatment 0.0371 1.080 925 0.034 1.0000
## No Reward control - Reward treatment -7.1187 1.080 925 -6.571 <.0001
## Reward control - No Reward treatment 7.1131 1.080 925 6.566 <.0001
## Reward control - Reward treatment -0.0427 1.080 925 -0.039 1.0000
## No Reward treatment - Reward treatment -7.1558 0.247 11438 -29.029 <.0001
##
## Degrees-of-freedom method: kenward-roger
## P value adjustment: tukey method for comparing a family of 4 estimates0.5.3.2 Tables
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
## (as 'lib' is unspecified)#data for estimated marginal means
emmeans_data <- data.frame(
reward_status = c("No Reward", "Reward", "No Reward", "Reward"),
condition = c("control", "control", "treatment", "treatment"),
emmean = c(42.5, 49.6, 42.5, 49.6),
SE = c(0.766, 0.766, 0.766, 0.766),
df = c(925, 925, 925, 925),
lower.CL = c(41.0, 48.1, 41.0, 48.1),
upper.CL = c(44.0, 51.1, 44.0, 51.1)
)
#data for contrasts
contrast_data <- data.frame(
contrast = c(
"No Reward control - Reward control",
"No Reward control - No Reward treatment",
"No Reward control - Reward treatment",
"Reward control - No Reward treatment",
"Reward control - Reward treatment",
"No Reward treatment - Reward treatment"
),
estimate = c(-7.0760, 0.0371, -7.1187, 7.1131, -0.0427, -7.1558),
SE = c(0.247, 1.080, 1.080, 1.080, 1.080, 0.247),
df = c(11438, 925, 925, 925, 925, 11438),
t.ratio = c(-28.705, 0.034, -6.571, 6.566, -0.039, -29.029),
p.value = c("<.0001", "1.0000", "<.0001", "<.0001", "1.0000", "<.0001")
)
# Table for the estimated marginal means
emmeans_table_h3 <- nice_table(
emmeans_data,
title = "Estimated Marginal Means for Reward Status Across Conditions",
note = "Degrees-of-freedom method: Kenward-Roger. Confidence level used: 0.95."
)
emmeans_table_h3Estimated Marginal Means for Reward Status Across Conditions | ||||||
|---|---|---|---|---|---|---|
reward_status | condition | emmean | SE | df | lower.CL | upper.CL |
No Reward | control | 42.50 | 0.77 | 925 | 41.00 | 44.00 |
Reward | control | 49.60 | 0.77 | 925 | 48.10 | 51.10 |
No Reward | treatment | 42.50 | 0.77 | 925 | 41.00 | 44.00 |
Reward | treatment | 49.60 | 0.77 | 925 | 48.10 | 51.10 |
Note. Degrees-of-freedom method: Kenward-Roger. Confidence level used: 0.95. | ||||||
save_as_docx(emmeans_table_h3, path = "Estimated Marginal Means for Reward Status Across Conditions_H3.docx")
# Replace "<.0001" with a numeric value and convert the p.value column to numeric
contrast_data$p.value <- as.numeric(gsub("<.0001", "0.0001", contrast_data$p.value))
# Table for Contrasts
contrasts_table_h3 <- nice_table(
contrast_data,
title = "Pairwise Contrasts for Reward Status and Condition Effects",
note = "Degrees-of-freedom method: Kenward-Roger. P-value adjustment: Tukey method for comparing a family of 4 estimates."
)
contrasts_table_h3Pairwise Contrasts for Reward Status and Condition Effects | |||||
|---|---|---|---|---|---|
contrast | estimate | SE | df | t | p |
No Reward control - Reward control | -7.08 | 0.25 | 11,438 | -28.70 | < .001*** |
No Reward control - No Reward treatment | 0.04 | 1.08 | 925 | 0.03 | 1.00 |
No Reward control - Reward treatment | -7.12 | 1.08 | 925 | -6.57 | < .001*** |
Reward control - No Reward treatment | 7.11 | 1.08 | 925 | 6.57 | < .001*** |
Reward control - Reward treatment | -0.04 | 1.08 | 925 | -0.04 | 1.00 |
No Reward treatment - Reward treatment | -7.16 | 0.25 | 11,438 | -29.03 | < .001*** |
Note. Degrees-of-freedom method: Kenward-Roger. P-value adjustment: Tukey method for comparing a family of 4 estimates. | |||||
save_as_docx(contrasts_table_h3, path = "Pairwise Contrasts for Reward Status and Condition Effects_H3.docx") 0.5.3.2.1 Multi- Level Models
0.6 Hypothesis 4
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
## (as 'lib' is unspecified)##
## Attaching package: 'psych'## The following object is masked from 'package:car':
##
## logit## The following objects are masked from 'package:ggplot2':
##
## %+%, alpha## 'data.frame': 880 obs. of 118 variables:
## $ ID : int 1 2 3 4 5 6 7 8 9 10 ...
## $ condition : chr "treatment" "control" "treatment" "treatment" ...
## $ age : int 57 35 37 49 60 35 59 68 27 67 ...
## $ sex : chr "Female" "Male" "Female" "Male" ...
## $ gender : chr "Female" "Male" "Female" "Male" ...
## $ digit_span : int 7 8 9 8 6 9 8 7 8 7 ...
## $ optimal_1 : num 0.733 0.617 0.586 0.633 0.4 ...
## $ optimal_2 : num 0.6 0.655 0.75 0.593 0.7 ...
## $ optimal_3 : num 0.55 0.559 0.783 0.55 0.61 ...
## $ optimal_4 : num 0.617 0.617 0.7 0.467 0.583 ...
## $ optimal_5 : num 0.483 0.559 0.733 0.45 0.55 ...
## $ optimal_6 : num 0.483 0.583 0.717 0.542 0.617 ...
## $ optimal_total : num 0.578 0.598 0.712 0.539 0.577 ...
## $ reward_1 : num 0.7 0.483 0.517 0.567 0.433 ...
## $ reward_2 : num 0.5 0.567 0.583 0.533 0.567 ...
## $ reward_3 : num 0.45 0.517 0.617 0.517 0.5 ...
## $ reward_4 : num 0.55 0.517 0.567 0.467 0.55 ...
## $ reward_5 : num 0.45 0.483 0.667 0.383 0.517 ...
## $ reward_6 : num 0.383 0.583 0.583 0.5 0.483 ...
## $ reward_total : num 0.506 0.525 0.589 0.494 0.508 ...
## $ affect_reward_1 : num 35.6 43.8 58.2 55.6 64.7 ...
## $ affect_reward_2 : num 28.8 40.1 55.4 52.3 68 ...
## $ affect_reward_3 : num 27 38 59.7 48 46.6 ...
## $ affect_reward_4 : num 36.3 35 60.8 50 34.2 ...
## $ affect_reward_5 : num 29.8 30.2 59.8 50 31.5 ...
## $ affect_reward_6 : num 25.6 28.7 55.1 50.4 33.1 ...
## $ affect_reward_total : num 31.2 35.9 58.2 51.2 46.2 ...
## $ affect_noreward_1 : num 34.3 40.5 44.6 54.8 63 ...
## $ affect_noreward_2 : num 24.6 37.3 38.2 46.7 64.3 ...
## $ affect_noreward_3 : num 24.2 38 47.1 38.6 45.7 ...
## $ affect_noreward_4 : num 39.1 30 50.9 50.2 34.5 ...
## $ affect_noreward_5 : num 27.5 24.6 48.5 50.6 31.6 ...
## $ affect_noreward_6 : num 24.4 24.1 50.4 49.6 32.8 ...
## $ affect_noreward_total : num 28.2 32.6 46.5 48.4 45.5 ...
## $ SDS_1 : int 1 1 1 2 2 2 1 1 2 1 ...
## $ SDS_11 : int 1 2 2 2 3 2 2 3 2 1 ...
## $ SDS_12 : int 1 2 2 3 3 1 3 3 2 2 ...
## $ SDS_14 : int 1 3 2 2 3 3 2 3 2 1 ...
## $ SDS_16 : int 1 2 2 3 3 1 4 2 2 1 ...
## $ SDS_17 : int 1 3 2 4 2 2 2 3 2 1 ...
## $ SDS_18 : int 2 3 1 4 3 1 4 2 2 1 ...
## $ SDS_20 : int 1 2 2 3 4 1 2 2 3 1 ...
## $ AES_17 : int 0 0 1 2 2 0 2 1 2 1 ...
## $ AES_18 : int 0 2 0 2 2 0 2 1 2 0 ...
## $ STAI_1 : int 2 2 1 3 3 2 2 3 2 1 ...
## $ STAI_3 : int 2 2 1 4 3 2 2 2 2 1 ...
## $ STAI_4 : int 2 3 4 3 1 2 2 1 4 1 ...
## $ STAI_5 : int 1 2 1 4 1 2 1 1 1 1 ...
## $ STAI_8 : int 1 1 1 3 1 2 1 1 1 1 ...
## $ STAI_10 : int 1 2 2 3 2 2 2 2 3 1 ...
## $ STAI_12 : int 2 2 2 4 2 3 2 1 1 1 ...
## $ STAI_13 : int 2 1 2 4 3 2 2 1 2 1 ...
## $ STAI_15 : int 1 1 2 3 2 2 2 1 1 1 ...
## $ STAI_16 : int 1 1 2 3 2 2 2 1 3 1 ...
## $ STAI_17 : int 2 2 2 3 2 2 2 2 2 1 ...
## $ STAI_19 : int 2 1 1 3 2 2 3 1 3 1 ...
## $ STAI_20 : int 1 3 2 2 2 2 1 2 2 1 ...
## $ OCI_2 : int 0 0 2 4 0 2 0 3 2 1 ...
## $ OCI_3 : int 0 2 1 4 0 3 2 2 2 1 ...
## $ OCI_4 : int 1 0 0 4 0 1 0 2 1 1 ...
## $ OCI_5 : int 0 1 3 3 0 0 0 2 0 0 ...
## $ OCI_6 : int 0 0 0 3 1 2 0 1 2 0 ...
## $ OCI_7 : int 0 0 1 0 2 0 2 1 1 1 ...
## $ OCI_8 : int 0 0 1 3 0 0 1 2 0 1 ...
## $ OCI_9 : int 0 0 1 4 0 2 3 2 1 1 ...
## $ OCI_11 : int 0 1 2 0 0 0 0 0 1 0 ...
## $ OCI_12 : int 0 2 0 2 1 1 1 1 0 1 ...
## $ OCI_13 : int 1 1 2 0 1 0 3 1 3 3 ...
## $ OCI_14 : int 0 0 2 2 0 0 1 2 0 0 ...
## $ OCI_15 : int 0 0 2 3 0 2 2 0 1 1 ...
## $ OCI_16 : int 0 0 0 3 0 2 0 0 2 1 ...
## $ OCI_18 : int 0 0 0 2 0 2 0 0 2 1 ...
## $ EAT_1 : int 2 2 4 3 1 0 1 3 4 1 ...
## $ EAT_2 : int 0 0 0 1 1 2 1 1 1 0 ...
## $ EAT_3 : int 3 3 1 2 3 2 1 2 2 0 ...
## $ EAT_4 : int 0 2 1 2 1 1 0 2 2 0 ...
## $ EAT_6 : int 5 0 1 4 3 3 1 3 2 3 ...
## $ EAT_7 : int 5 0 2 2 3 1 0 1 1 1 ...
## $ EAT_8 : int 0 0 0 0 1 4 0 1 0 0 ...
## $ EAT_10 : int 0 2 1 1 3 0 1 2 0 0 ...
## $ EAT_11 : int 2 2 2 3 2 0 2 2 2 1 ...
## $ EAT_12 : int 3 0 2 4 3 1 1 1 2 2 ...
## $ EAT_14 : int 2 0 1 2 3 2 2 3 1 1 ...
## $ EAT_15 : int 0 1 2 0 0 1 4 1 0 2 ...
## $ EAT_18 : int 2 1 0 1 2 1 0 2 0 0 ...
## $ EAT_20 : int 0 0 1 0 1 3 0 2 0 1 ...
## $ EAT_21 : int 2 2 2 3 3 1 1 3 0 1 ...
## $ EAT_22 : int 2 0 2 2 3 2 0 3 0 1 ...
## $ EAT_23 : int 4 0 1 3 4 0 0 2 2 1 ...
## $ EAT_24 : int 0 1 1 2 0 2 1 3 0 1 ...
## $ BIS_6 : int 3 1 1 3 2 3 2 2 4 1 ...
## $ BIS_9 : int 2 3 2 3 3 2 2 2 3 1 ...
## $ BIS_10 : int 1 1 2 3 3 1 2 3 3 4 ...
## $ BIS_13 : int 2 1 2 4 3 1 3 4 3 4 ...
## $ BIS_14 : int 2 3 2 4 3 3 2 2 3 2 ...
## $ LSAS_2 : num 1 1 0.5 1 1 0.5 0 1.5 2 0.5 ...
## $ LSAS_6 : num 3 2 3 3 3 2 2 1 2.5 1 ...
## $ LSAS_7 : num 1 1.5 1.5 2.5 0.5 1.5 2 1.5 2.5 0.5 ...
## $ LSAS_8 : num 0 2.5 1.5 2 2 1.5 0.5 1 2.5 1 ...
## [list output truncated]library(dplyr)
# Select relevant questionnaire items
EFA_items_h4 <- dat_efa_h4 %>%
select(
# Anxiety/Depression
SDS_1, SDS_11, SDS_12, SDS_14, SDS_16, SDS_17, SDS_18, SDS_20,
AES_17, AES_18,
STAI_1, STAI_3, STAI_4, STAI_5, STAI_8, STAI_10, STAI_12, STAI_13,
STAI_15, STAI_16, STAI_17, STAI_19, STAI_20,
DARS_hobbies, DARS_food_drink, DARS_social, DARS_sensory,
# Compulsive Behaviour and Intrusive Thought
OCI_2, OCI_3, OCI_4, OCI_5, OCI_6, OCI_7, OCI_8, OCI_9,
OCI_11, OCI_12, OCI_13, OCI_14, OCI_15, OCI_16, OCI_18,
EAT_1, EAT_2, EAT_3, EAT_4, EAT_6, EAT_7, EAT_8,
EAT_10, EAT_11, EAT_12, EAT_14, EAT_15, EAT_18,
EAT_20, EAT_21, EAT_22, EAT_23, EAT_24,
BIS_6, BIS_9, BIS_10, BIS_13, BIS_14,
# Social Withdrawal
LSAS_2, LSAS_6, LSAS_7, LSAS_8, LSAS_9, LSAS_10, LSAS_11,
LSAS_12, LSAS_15, LSAS_16, LSAS_18, LSAS_19, LSAS_20,
LSAS_21, LSAS_23, LSAS_24,
SPQ_cognitive_perceptual, SPQ_interpersonal, SPQ_disorganised
)
str(EFA_items_h4)## 'data.frame': 880 obs. of 84 variables:
## $ SDS_1 : int 1 1 1 2 2 2 1 1 2 1 ...
## $ SDS_11 : int 1 2 2 2 3 2 2 3 2 1 ...
## $ SDS_12 : int 1 2 2 3 3 1 3 3 2 2 ...
## $ SDS_14 : int 1 3 2 2 3 3 2 3 2 1 ...
## $ SDS_16 : int 1 2 2 3 3 1 4 2 2 1 ...
## $ SDS_17 : int 1 3 2 4 2 2 2 3 2 1 ...
## $ SDS_18 : int 2 3 1 4 3 1 4 2 2 1 ...
## $ SDS_20 : int 1 2 2 3 4 1 2 2 3 1 ...
## $ AES_17 : int 0 0 1 2 2 0 2 1 2 1 ...
## $ AES_18 : int 0 2 0 2 2 0 2 1 2 0 ...
## $ STAI_1 : int 2 2 1 3 3 2 2 3 2 1 ...
## $ STAI_3 : int 2 2 1 4 3 2 2 2 2 1 ...
## $ STAI_4 : int 2 3 4 3 1 2 2 1 4 1 ...
## $ STAI_5 : int 1 2 1 4 1 2 1 1 1 1 ...
## $ STAI_8 : int 1 1 1 3 1 2 1 1 1 1 ...
## $ STAI_10 : int 1 2 2 3 2 2 2 2 3 1 ...
## $ STAI_12 : int 2 2 2 4 2 3 2 1 1 1 ...
## $ STAI_13 : int 2 1 2 4 3 2 2 1 2 1 ...
## $ STAI_15 : int 1 1 2 3 2 2 2 1 1 1 ...
## $ STAI_16 : int 1 1 2 3 2 2 2 1 3 1 ...
## $ STAI_17 : int 2 2 2 3 2 2 2 2 2 1 ...
## $ STAI_19 : int 2 1 1 3 2 2 3 1 3 1 ...
## $ STAI_20 : int 1 3 2 2 2 2 1 2 2 1 ...
## $ DARS_hobbies : int 16 16 13 16 16 16 16 14 16 15 ...
## $ DARS_food_drink : int 15 16 11 16 14 12 15 9 16 14 ...
## $ DARS_social : int 16 12 10 10 11 9 14 11 16 14 ...
## $ DARS_sensory : int 20 18 11 20 19 17 17 13 20 20 ...
## $ OCI_2 : int 0 0 2 4 0 2 0 3 2 1 ...
## $ OCI_3 : int 0 2 1 4 0 3 2 2 2 1 ...
## $ OCI_4 : int 1 0 0 4 0 1 0 2 1 1 ...
## $ OCI_5 : int 0 1 3 3 0 0 0 2 0 0 ...
## $ OCI_6 : int 0 0 0 3 1 2 0 1 2 0 ...
## $ OCI_7 : int 0 0 1 0 2 0 2 1 1 1 ...
## $ OCI_8 : int 0 0 1 3 0 0 1 2 0 1 ...
## $ OCI_9 : int 0 0 1 4 0 2 3 2 1 1 ...
## $ OCI_11 : int 0 1 2 0 0 0 0 0 1 0 ...
## $ OCI_12 : int 0 2 0 2 1 1 1 1 0 1 ...
## $ OCI_13 : int 1 1 2 0 1 0 3 1 3 3 ...
## $ OCI_14 : int 0 0 2 2 0 0 1 2 0 0 ...
## $ OCI_15 : int 0 0 2 3 0 2 2 0 1 1 ...
## $ OCI_16 : int 0 0 0 3 0 2 0 0 2 1 ...
## $ OCI_18 : int 0 0 0 2 0 2 0 0 2 1 ...
## $ EAT_1 : int 2 2 4 3 1 0 1 3 4 1 ...
## $ EAT_2 : int 0 0 0 1 1 2 1 1 1 0 ...
## $ EAT_3 : int 3 3 1 2 3 2 1 2 2 0 ...
## $ EAT_4 : int 0 2 1 2 1 1 0 2 2 0 ...
## $ EAT_6 : int 5 0 1 4 3 3 1 3 2 3 ...
## $ EAT_7 : int 5 0 2 2 3 1 0 1 1 1 ...
## $ EAT_8 : int 0 0 0 0 1 4 0 1 0 0 ...
## $ EAT_10 : int 0 2 1 1 3 0 1 2 0 0 ...
## $ EAT_11 : int 2 2 2 3 2 0 2 2 2 1 ...
## $ EAT_12 : int 3 0 2 4 3 1 1 1 2 2 ...
## $ EAT_14 : int 2 0 1 2 3 2 2 3 1 1 ...
## $ EAT_15 : int 0 1 2 0 0 1 4 1 0 2 ...
## $ EAT_18 : int 2 1 0 1 2 1 0 2 0 0 ...
## $ EAT_20 : int 0 0 1 0 1 3 0 2 0 1 ...
## $ EAT_21 : int 2 2 2 3 3 1 1 3 0 1 ...
## $ EAT_22 : int 2 0 2 2 3 2 0 3 0 1 ...
## $ EAT_23 : int 4 0 1 3 4 0 0 2 2 1 ...
## $ EAT_24 : int 0 1 1 2 0 2 1 3 0 1 ...
## $ BIS_6 : int 3 1 1 3 2 3 2 2 4 1 ...
## $ BIS_9 : int 2 3 2 3 3 2 2 2 3 1 ...
## $ BIS_10 : int 1 1 2 3 3 1 2 3 3 4 ...
## $ BIS_13 : int 2 1 2 4 3 1 3 4 3 4 ...
## $ BIS_14 : int 2 3 2 4 3 3 2 2 3 2 ...
## $ LSAS_2 : num 1 1 0.5 1 1 0.5 0 1.5 2 0.5 ...
## $ LSAS_6 : num 3 2 3 3 3 2 2 1 2.5 1 ...
## $ LSAS_7 : num 1 1.5 1.5 2.5 0.5 1.5 2 1.5 2.5 0.5 ...
## $ LSAS_8 : num 0 2.5 1.5 2 2 1.5 0.5 1 2.5 1 ...
## $ LSAS_9 : num 0 2 2 1 2 1.5 0.5 1 2 0.5 ...
## $ LSAS_10 : num 1 2.5 1 2 0 1 1.5 1.5 2 0 ...
## $ LSAS_11 : num 1 2 1 2 1 1 2 2 2 0 ...
## $ LSAS_12 : num 1 1.5 0.5 2 0.5 1.5 2.5 1.5 2.5 0 ...
## $ LSAS_15 : num 1 3 2.5 3 2 0 2.5 2 2 0 ...
## $ LSAS_16 : num 2 2 2.5 2 3 1 2 2.5 2.5 0 ...
## $ LSAS_18 : num 2 1.5 2.5 1.5 1.5 0.5 2 2 2.5 0 ...
## $ LSAS_19 : num 0 0 1 0 1 1 2 2 2.5 0 ...
## $ LSAS_20 : num 1 1.5 1.5 2 3 1 2 1.5 2 0 ...
## $ LSAS_21 : num 2 3 1.5 0.5 3 3 2 3 2.5 0 ...
## $ LSAS_23 : num 2 2.5 1.5 1 1 2.5 2.5 2 3 0 ...
## $ LSAS_24 : num 0 1.5 0.5 0 0 0 1 1 2.5 0 ...
## $ SPQ_cognitive_perceptual: int 17 14 19 8 12 19 19 19 22 8 ...
## $ SPQ_interpersonal : int 15 18 26 31 18 27 26 17 1 0 ...
## $ SPQ_disorganised : int 21 15 13 18 16 21 17 15 15 6 ...# Reverse scoring for DARS items (lower scores indicate more anhedonia)
EFA_items_h4 <- EFA_items_h4 %>%
mutate(
DARS_hobbies = max(DARS_hobbies, na.rm = TRUE) - DARS_hobbies,
DARS_food_drink = max(DARS_food_drink, na.rm = TRUE) - DARS_food_drink,
DARS_social = max(DARS_social, na.rm = TRUE) - DARS_social,
DARS_sensory = max(DARS_sensory, na.rm = TRUE) - DARS_sensory
)0.6.0.1 KMO & Bartletts
## Kaiser-Meyer-Olkin factor adequacy
## Call: KMO(r = EFA_items_h4)
## Overall MSA = 0.96
## MSA for each item =
## SDS_1 SDS_11 SDS_12
## 0.98 0.97 0.97
## SDS_14 SDS_16 SDS_17
## 0.97 0.98 0.98
## SDS_18 SDS_20 AES_17
## 0.97 0.98 0.95
## AES_18 STAI_1 STAI_3
## 0.97 0.98 0.98
## STAI_4 STAI_5 STAI_8
## 0.98 0.97 0.98
## STAI_10 STAI_12 STAI_13
## 0.97 0.98 0.98
## STAI_15 STAI_16 STAI_17
## 0.98 0.97 0.98
## STAI_19 STAI_20 DARS_hobbies
## 0.98 0.98 0.85
## DARS_food_drink DARS_social DARS_sensory
## 0.75 0.96 0.77
## OCI_2 OCI_3 OCI_4
## 0.96 0.91 0.95
## OCI_5 OCI_6 OCI_7
## 0.90 0.98 0.91
## OCI_8 OCI_9 OCI_11
## 0.86 0.93 0.91
## OCI_12 OCI_13 OCI_14
## 0.95 0.90 0.86
## OCI_15 OCI_16 OCI_18
## 0.89 0.93 0.95
## EAT_1 EAT_2 EAT_3
## 0.96 0.94 0.95
## EAT_4 EAT_6 EAT_7
## 0.95 0.87 0.88
## EAT_8 EAT_10 EAT_11
## 0.82 0.97 0.95
## EAT_12 EAT_14 EAT_15
## 0.93 0.95 0.87
## EAT_18 EAT_20 EAT_21
## 0.96 0.89 0.95
## EAT_22 EAT_23 EAT_24
## 0.96 0.94 0.93
## BIS_6 BIS_9 BIS_10
## 0.97 0.97 0.86
## BIS_13 BIS_14 LSAS_2
## 0.87 0.92 0.97
## LSAS_6 LSAS_7 LSAS_8
## 0.96 0.95 0.94
## LSAS_9 LSAS_10 LSAS_11
## 0.94 0.96 0.94
## LSAS_12 LSAS_15 LSAS_16
## 0.96 0.97 0.95
## LSAS_18 LSAS_19 LSAS_20
## 0.97 0.98 0.95
## LSAS_21 LSAS_23 LSAS_24
## 0.96 0.94 0.97
## SPQ_cognitive_perceptual SPQ_interpersonal SPQ_disorganised
## 0.97 0.98 0.95# Bartlett
bartlett_result_h4 <- cortest.bartlett(cor(EFA_items_h4), n = nrow(EFA_items_h4))
print(bartlett_result_h4)## $chisq
## [1] 50249.91
##
## $p.value
## [1] 0
##
## $df
## [1] 34860.6.1 Correlations
# Correlation matrix for EFA items
cor_matrix <- cor(EFA_items_h4, use = "pairwise.complete.obs")
library(corrplot)## corrplot 0.95 loaded
## [1] 880## [1] 23.88055129 7.27166599 4.32068049 4.15359897 2.25942460 1.86418135
## [7] 1.66549100 1.50192034 1.41214868 1.30830508 1.23493492 1.18965949
## [13] 1.12648332 1.10843200 1.01156671 0.94692247 0.92265575 0.89517333
## [19] 0.86670944 0.81239801 0.78707232 0.77374193 0.73741899 0.70771984
## [25] 0.70075574 0.67862814 0.66420206 0.64646309 0.63295203 0.61019479
## [31] 0.60162074 0.57039410 0.55063988 0.54674020 0.54069171 0.51092968
## [37] 0.49082313 0.48122688 0.46552545 0.45531977 0.44850102 0.43507987
## [43] 0.43189213 0.42310205 0.41332568 0.40795241 0.39960387 0.37357206
## [49] 0.36958081 0.35901784 0.35669710 0.34931169 0.34040668 0.33257075
## [55] 0.33231876 0.32033801 0.31954407 0.30284448 0.29547673 0.28959508
## [61] 0.27746041 0.26927230 0.26799421 0.26162389 0.25487188 0.24088660
## [67] 0.23599890 0.22904461 0.22681282 0.21960660 0.21250443 0.20588066
## [73] 0.19779135 0.18975135 0.18383794 0.18306408 0.17948625 0.17164602
## [79] 0.16064960 0.14378580 0.14104372 0.13761093 0.12175735 0.08092351# Parallel analysis
psych::fa.parallel(cor_matrix, n.obs = 880, fa = "fa", fm = "pa", main = "Parallel Analysis")
## Parallel analysis suggests that the number of factors = 12 and the number of components = NApng("parallel_analysis_plot.png", width = 800, height = 600)
fa.parallel(EFA_items_h4, fm = "pa", fa = "fa")## Parallel analysis suggests that the number of factors = 12 and the number of components = NA## png
## 2## Parallel analysis suggests that the number of factors = 13 and the number of components = NAeigen_table <- data.frame(
Factor = 1:length(eigenvalues),
Eigenvalue = eigenvalues,
Random_Eigenvalue = parallel_results$fa.values
)
eigen_table## Factor Eigenvalue Random_Eigenvalue
## 1 1 23.88055129 23.255226452
## 2 2 7.27166599 6.480470337
## 3 3 4.32068049 3.657575540
## 4 4 4.15359897 3.364249335
## 5 5 2.25942460 1.421532265
## 6 6 1.86418135 1.074711701
## 7 7 1.66549100 0.912350518
## 8 8 1.50192034 0.707118666
## 9 9 1.41214868 0.607828029
## 10 10 1.30830508 0.598085513
## 11 11 1.23493492 0.452170329
## 12 12 1.18965949 0.431037481
## 13 13 1.12648332 0.376104786
## 14 14 1.10843200 0.306405060
## 15 15 1.01156671 0.262156681
## 16 16 0.94692247 0.209531288
## 17 17 0.92265575 0.156507642
## 18 18 0.89517333 0.140697781
## 19 19 0.86670944 0.115741088
## 20 20 0.81239801 0.085028827
## 21 21 0.78707232 0.043301522
## 22 22 0.77374193 0.021871242
## 23 23 0.73741899 -0.002876035
## 24 24 0.70771984 -0.006833596
## 25 25 0.70075574 -0.043990979
## 26 26 0.67862814 -0.053218510
## 27 27 0.66420206 -0.081460742
## 28 28 0.64646309 -0.103268432
## 29 29 0.63295203 -0.109813085
## 30 30 0.61019479 -0.113454050
## 31 31 0.60162074 -0.136910181
## 32 32 0.57039410 -0.146477860
## 33 33 0.55063988 -0.157189270
## 34 34 0.54674020 -0.171798407
## 35 35 0.54069171 -0.186062918
## 36 36 0.51092968 -0.191213821
## 37 37 0.49082313 -0.200547106
## 38 38 0.48122688 -0.210811528
## 39 39 0.46552545 -0.214910673
## 40 40 0.45531977 -0.232559626
## 41 41 0.44850102 -0.241535098
## 42 42 0.43507987 -0.257643034
## 43 43 0.43189213 -0.260920082
## 44 44 0.42310205 -0.272463534
## 45 45 0.41332568 -0.278507753
## 46 46 0.40795241 -0.281212732
## 47 47 0.39960387 -0.293193937
## 48 48 0.37357206 -0.296635705
## 49 49 0.36958081 -0.306995366
## 50 50 0.35901784 -0.308302506
## 51 51 0.35669710 -0.324990139
## 52 52 0.34931169 -0.333337599
## 53 53 0.34040668 -0.336130951
## 54 54 0.33257075 -0.345666853
## 55 55 0.33231876 -0.352276874
## 56 56 0.32033801 -0.363002277
## 57 57 0.31954407 -0.369311338
## 58 58 0.30284448 -0.373354580
## 59 59 0.29547673 -0.384877213
## 60 60 0.28959508 -0.399673480
## 61 61 0.27746041 -0.403820872
## 62 62 0.26927230 -0.416613639
## 63 63 0.26799421 -0.435860927
## 64 64 0.26162389 -0.440318876
## 65 65 0.25487188 -0.445386391
## 66 66 0.24088660 -0.452768540
## 67 67 0.23599890 -0.466246303
## 68 68 0.22904461 -0.477129358
## 69 69 0.22681282 -0.484980175
## 70 70 0.21960660 -0.488446580
## 71 71 0.21250443 -0.503265764
## 72 72 0.20588066 -0.514351894
## 73 73 0.19779135 -0.524751422
## 74 74 0.18975135 -0.544687623
## 75 75 0.18383794 -0.547520248
## 76 76 0.18306408 -0.556139336
## 77 77 0.17948625 -0.567436135
## 78 78 0.17164602 -0.593239668
## 79 79 0.16064960 -0.599119889
## 80 80 0.14378580 -0.608691272
## 81 81 0.14104372 -0.612510087
## 82 82 0.13761093 -0.640095795
## 83 83 0.12175735 -0.646733187
## 84 84 0.08092351 -0.710933388## Loading required namespace: GPArotation##
## Loadings:
## PA1 PA3 PA2
## SDS_1 0.752
## SDS_11 0.626
## SDS_12 0.637
## SDS_14 0.782
## SDS_16 0.630
## SDS_17 0.769
## SDS_18 0.646
## SDS_20 0.740
## AES_17 0.480
## AES_18 0.667
## STAI_1 0.799
## STAI_3 0.837
## STAI_4 0.458
## STAI_5 0.685
## STAI_8 0.641
## STAI_10 0.881
## STAI_12 0.441
## STAI_13 0.758
## STAI_15 0.618
## STAI_16 0.847
## STAI_17
## STAI_19 0.627
## STAI_20 0.480
## DARS_hobbies
## DARS_food_drink
## DARS_social
## DARS_sensory
## OCI_2 0.408
## OCI_3 0.436
## OCI_4 0.411
## OCI_5
## OCI_6 0.458
## OCI_7
## OCI_8
## OCI_9
## OCI_11 0.402
## OCI_12 0.420
## OCI_13
## OCI_14
## OCI_15
## OCI_16 0.404
## OCI_18
## EAT_1 0.664
## EAT_2 0.452
## EAT_3 0.625
## EAT_4 0.610
## EAT_6 0.454
## EAT_7 0.405
## EAT_8
## EAT_10 0.708
## EAT_11 0.718
## EAT_12 0.622
## EAT_14 0.754
## EAT_15
## EAT_18 0.713
## EAT_20 0.460
## EAT_21 0.718
## EAT_22 0.549
## EAT_23 0.670
## EAT_24 0.521
## BIS_6
## BIS_9 0.596
## BIS_10
## BIS_13
## BIS_14
## LSAS_2 0.647
## LSAS_6 0.721
## LSAS_7 0.713
## LSAS_8 0.657
## LSAS_9 0.634
## LSAS_10 0.688
## LSAS_11 0.834
## LSAS_12 0.833
## LSAS_15 0.803
## LSAS_16 0.797
## LSAS_18 0.712
## LSAS_19 0.668
## LSAS_20 0.752
## LSAS_21 0.572
## LSAS_23 0.634
## LSAS_24 0.575
## SPQ_cognitive_perceptual 0.463
## SPQ_interpersonal 0.578
## SPQ_disorganised
##
## PA1 PA3 PA2
## SS loadings 12.552 9.515 9.276
## Proportion Var 0.149 0.113 0.110
## Cumulative Var 0.149 0.263 0.373## PA1 PA3 PA2
## SS loadings 13.5416805 10.4501011 9.8753522
## Proportion Var 0.1612105 0.1244060 0.1175637
## Cumulative Var 0.1612105 0.2856164 0.4031802
## Proportion Explained 0.3998473 0.3085617 0.2915910
## Cumulative Proportion 0.3998473 0.7084090 1.0000000# Extract goodness-of-fit indices
efa_fit <- fa(cor_matrix, nfactors = 3, rotate = "oblimin", fm = "ml")
print(efa_fit)## Factor Analysis using method = ml
## Call: fa(r = cor_matrix, nfactors = 3, rotate = "oblimin", fm = "ml")
## Standardized loadings (pattern matrix) based upon correlation matrix
## ML1 ML3 ML2 h2 u2 com
## SDS_1 0.79 -0.09 0.01 0.545 0.46 1.0
## SDS_11 0.63 0.02 0.09 0.454 0.55 1.0
## SDS_12 0.62 0.01 0.06 0.424 0.58 1.0
## SDS_14 0.79 0.00 -0.09 0.578 0.42 1.0
## SDS_16 0.61 0.10 0.06 0.490 0.51 1.1
## SDS_17 0.75 0.07 -0.03 0.623 0.38 1.0
## SDS_18 0.66 0.04 -0.12 0.432 0.57 1.1
## SDS_20 0.73 0.02 0.00 0.554 0.45 1.0
## AES_17 0.44 0.15 -0.10 0.272 0.73 1.3
## AES_18 0.62 0.12 -0.12 0.445 0.55 1.2
## STAI_1 0.81 0.00 -0.06 0.628 0.37 1.0
## STAI_3 0.84 -0.01 -0.04 0.670 0.33 1.0
## STAI_4 0.50 0.09 0.13 0.387 0.61 1.2
## STAI_5 0.71 0.09 0.06 0.617 0.38 1.0
## STAI_8 0.68 0.04 0.14 0.586 0.41 1.1
## STAI_10 0.91 -0.04 -0.12 0.732 0.27 1.0
## STAI_12 0.43 0.36 0.08 0.552 0.45 2.0
## STAI_13 0.77 0.03 0.01 0.630 0.37 1.0
## STAI_15 0.63 0.15 0.10 0.603 0.40 1.2
## STAI_16 0.89 -0.05 -0.05 0.708 0.29 1.0
## STAI_17 0.43 0.09 0.27 0.404 0.60 1.8
## STAI_19 0.63 0.03 0.05 0.453 0.55 1.0
## STAI_20 0.53 0.08 0.22 0.468 0.53 1.4
## DARS_hobbies 0.24 0.03 -0.03 0.061 0.94 1.1
## DARS_food_drink 0.21 -0.09 -0.09 0.029 0.97 1.7
## DARS_social 0.28 0.31 -0.16 0.248 0.75 2.5
## DARS_sensory 0.17 0.04 -0.17 0.044 0.96 2.1
## OCI_2 0.15 0.14 0.30 0.212 0.79 2.0
## OCI_3 0.06 0.12 0.32 0.166 0.83 1.4
## OCI_4 0.05 0.11 0.31 0.143 0.86 1.3
## OCI_5 -0.05 0.25 0.24 0.132 0.87 2.1
## OCI_6 0.56 -0.05 0.29 0.460 0.54 1.5
## OCI_7 0.14 0.11 0.23 0.138 0.86 2.1
## OCI_8 0.08 0.06 0.25 0.096 0.90 1.3
## OCI_9 0.12 0.19 0.28 0.206 0.79 2.1
## OCI_11 0.04 0.12 0.29 0.128 0.87 1.4
## OCI_12 0.50 -0.02 0.32 0.442 0.56 1.7
## OCI_13 0.12 0.14 0.21 0.132 0.87 2.4
## OCI_14 0.07 0.09 0.21 0.080 0.92 1.6
## OCI_15 0.06 0.15 0.27 0.141 0.86 1.7
## OCI_16 -0.07 0.14 0.33 0.129 0.87 1.5
## OCI_18 0.50 -0.02 0.30 0.424 0.58 1.6
## EAT_1 -0.05 0.09 0.72 0.536 0.46 1.0
## EAT_2 0.12 0.00 0.44 0.242 0.76 1.2
## EAT_3 0.05 -0.01 0.70 0.514 0.49 1.0
## EAT_4 0.08 -0.01 0.65 0.454 0.55 1.0
## EAT_6 -0.14 -0.09 0.47 0.196 0.80 1.2
## EAT_7 -0.06 -0.06 0.42 0.158 0.84 1.1
## EAT_8 -0.01 0.13 0.16 0.050 0.95 1.9
## EAT_10 0.06 0.05 0.76 0.641 0.36 1.0
## EAT_11 -0.01 0.02 0.80 0.646 0.35 1.0
## EAT_12 -0.15 -0.04 0.65 0.378 0.62 1.1
## EAT_14 0.02 0.01 0.79 0.640 0.36 1.0
## EAT_15 0.10 0.00 0.19 0.060 0.94 1.5
## EAT_18 0.03 0.01 0.77 0.607 0.39 1.0
## EAT_20 0.04 -0.02 0.42 0.184 0.82 1.0
## EAT_21 -0.01 -0.02 0.78 0.597 0.40 1.0
## EAT_22 0.01 0.10 0.57 0.366 0.63 1.1
## EAT_23 -0.08 -0.04 0.72 0.472 0.53 1.0
## EAT_24 0.09 -0.09 0.52 0.282 0.72 1.1
## BIS_6 0.46 -0.05 0.29 0.349 0.65 1.7
## BIS_9 0.58 0.08 0.08 0.436 0.56 1.1
## BIS_10 0.34 -0.02 -0.02 0.103 0.90 1.0
## BIS_13 0.33 0.01 -0.08 0.103 0.90 1.1
## BIS_14 0.16 0.02 0.18 0.085 0.92 2.0
## LSAS_2 0.07 0.65 0.05 0.500 0.50 1.0
## LSAS_6 -0.02 0.73 -0.03 0.502 0.50 1.0
## LSAS_7 0.02 0.69 -0.08 0.470 0.53 1.0
## LSAS_8 0.06 0.64 0.08 0.504 0.50 1.1
## LSAS_9 0.02 0.63 0.10 0.456 0.54 1.1
## LSAS_10 0.05 0.72 0.04 0.586 0.41 1.0
## LSAS_11 -0.02 0.87 0.02 0.753 0.25 1.0
## LSAS_12 -0.03 0.87 0.02 0.724 0.28 1.0
## LSAS_15 -0.06 0.83 -0.04 0.625 0.38 1.0
## LSAS_16 -0.02 0.81 -0.04 0.622 0.38 1.0
## LSAS_18 -0.04 0.75 0.07 0.556 0.44 1.0
## LSAS_19 0.03 0.70 0.08 0.556 0.44 1.0
## LSAS_20 0.04 0.77 -0.03 0.614 0.39 1.0
## LSAS_21 0.02 0.58 -0.06 0.337 0.66 1.0
## LSAS_23 0.08 0.61 -0.11 0.403 0.60 1.1
## LSAS_24 -0.03 0.58 0.01 0.325 0.67 1.0
## SPQ_cognitive_perceptual 0.27 0.14 0.39 0.389 0.61 2.1
## SPQ_interpersonal 0.31 0.58 -0.03 0.628 0.37 1.5
## SPQ_disorganised 0.36 0.11 0.23 0.315 0.69 1.9
##
## ML1 ML3 ML2
## SS loadings 14.15 10.22 9.25
## Proportion Var 0.17 0.12 0.11
## Cumulative Var 0.17 0.29 0.40
## Proportion Explained 0.42 0.30 0.28
## Cumulative Proportion 0.42 0.72 1.00
##
## With factor correlations of
## ML1 ML3 ML2
## ML1 1.00 0.61 0.33
## ML3 0.61 1.00 0.27
## ML2 0.33 0.27 1.00
##
## Mean item complexity = 1.3
## Test of the hypothesis that 3 factors are sufficient.
##
## df null model = 3486 with the objective function = 59.11
## df of the model are 3237 and the objective function was 20.06
##
## The root mean square of the residuals (RMSR) is 0.06
## The df corrected root mean square of the residuals is 0.06
##
## Fit based upon off diagonal values = 0.96
## Measures of factor score adequacy
## ML1 ML3 ML2
## Correlation of (regression) scores with factors 0.98 0.98 0.97
## Multiple R square of scores with factors 0.97 0.96 0.95
## Minimum correlation of possible factor scores 0.94 0.92 0.89## [,1] [,2] [,3]
## [1,] 1.0000000 0.6353038 0.3497981
## [2,] 0.6353038 1.0000000 0.2874289
## [3,] 0.3497981 0.2874289 1.0000000## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
## (as 'lib' is unspecified)##
## Attaching package: 'GPArotation'## The following objects are masked from 'package:psych':
##
## equamax, varimin# Communalities and uniqueness
efa_results_h4 <- efa_3$loadings
#Extract Loadings for Reporting
efa_loadings <- as.data.frame(unclass(efa_3$loadings))
efa_loadings <- efa_loadings[rowSums(abs(efa_loadings) >= 0.4) > 0, ] # Retain items with loadings >= 0.4
efa_loadings$Communality <- efa_3$communality[row.names(efa_loadings)]
#EFA Loadings Table
efa_loadings_table <- efa_loadings
rownames(efa_loadings_table) <- rownames(efa_loadings)
efa_loadings_table## PA1 PA3 PA2 Communality
## SDS_1 0.752435494 -0.068087875 0.04661736 0.5333249
## SDS_11 0.625612096 0.009980964 0.11891987 0.4654160
## SDS_12 0.636871470 -0.001119841 0.06492194 0.4375612
## SDS_14 0.781751504 0.003231070 -0.08083392 0.5768192
## SDS_16 0.630119995 0.085507783 0.06697613 0.5066703
## SDS_17 0.768794663 0.059514185 -0.02101379 0.6386665
## SDS_18 0.646308633 0.060003314 -0.10499537 0.4288769
## SDS_20 0.740198753 0.015282660 0.01006831 0.5672068
## AES_17 0.480418340 0.129588856 -0.11672439 0.2894904
## AES_18 0.666989901 0.093601162 -0.13666259 0.4777958
## STAI_1 0.799412470 0.002419995 -0.04585004 0.6180604
## STAI_3 0.837156630 -0.008966132 -0.04454683 0.6681723
## STAI_4 0.458384787 0.116219245 0.16418560 0.3780141
## STAI_5 0.685366527 0.092828409 0.08874475 0.6101640
## STAI_8 0.641145818 0.061293393 0.18658725 0.5865903
## STAI_10 0.880502080 -0.020507434 -0.08790515 0.7088984
## STAI_12 0.441427554 0.343427540 0.07675200 0.5408427
## STAI_13 0.757862389 0.031130131 0.02572656 0.6185728
## STAI_15 0.618407635 0.152765069 0.11989411 0.5963709
## STAI_16 0.847445653 -0.030550023 -0.01319021 0.6803321
## STAI_19 0.626611126 0.032575001 0.07327804 0.4569873
## STAI_20 0.480113488 0.096360300 0.27392227 0.4768063
## OCI_2 0.017838383 0.227055228 0.40833396 0.2802657
## OCI_3 -0.105061356 0.237678259 0.43604431 0.2534053
## OCI_4 -0.089839920 0.203984937 0.41144491 0.2179140
## OCI_6 0.458162601 0.008940600 0.38459378 0.4868728
## OCI_11 -0.118540540 0.227809152 0.40182524 0.2126783
## OCI_12 0.388364793 0.052114127 0.41954841 0.4792038
## OCI_16 -0.189542777 0.223071768 0.40423358 0.1949733
## EAT_1 -0.013069064 0.046913919 0.66374882 0.4535424
## EAT_2 0.125289228 -0.026529180 0.45150319 0.2487356
## EAT_3 0.095195865 -0.054308100 0.62460157 0.4181458
## EAT_4 0.085313576 -0.030368040 0.61024077 0.4031868
## EAT_6 -0.139960528 -0.108196812 0.45419913 0.1845273
## EAT_7 -0.056013786 -0.088040883 0.40467554 0.1450665
## EAT_10 0.085772880 0.017154105 0.70787281 0.5593567
## EAT_11 0.038347207 -0.029460678 0.71816930 0.5240177
## EAT_12 -0.144000153 -0.060595373 0.62223945 0.3390780
## EAT_14 0.027347111 -0.022953252 0.75372539 0.5732492
## EAT_18 0.043577762 -0.013038930 0.71331687 0.5265506
## EAT_20 -0.005776249 -0.004200607 0.46022451 0.2089674
## EAT_21 0.021679616 -0.049363972 0.71771033 0.5077420
## EAT_22 0.014711962 0.074175679 0.54902680 0.3367761
## EAT_23 -0.048991126 -0.085660434 0.66951447 0.4083787
## EAT_24 0.099428008 -0.124153276 0.52120359 0.2817955
## BIS_9 0.595556171 0.062934409 0.09421180 0.4551899
## LSAS_2 0.067809583 0.646816048 0.05660030 0.5024737
## LSAS_6 -0.007026055 0.720979628 -0.04634798 0.4974553
## LSAS_7 0.009663466 0.712658172 -0.08665573 0.4888287
## LSAS_8 0.049640169 0.656668764 0.08067645 0.5120603
## LSAS_9 0.012534698 0.634464279 0.10019261 0.4587063
## LSAS_10 0.071009694 0.687887031 0.04825122 0.5607202
## LSAS_11 0.005266264 0.834019689 0.02877149 0.7152592
## LSAS_12 -0.017887989 0.832819468 0.03165470 0.6911373
## LSAS_15 -0.022029650 0.803365007 -0.06909519 0.5992811
## LSAS_16 -0.001688677 0.796912853 -0.05447461 0.6122660
## LSAS_18 -0.003217767 0.711811166 0.04354820 0.5229888
## LSAS_19 0.050871187 0.667995523 0.08145392 0.5298899
## LSAS_20 0.066419240 0.752389838 -0.05698135 0.6078704
## LSAS_21 0.043999571 0.571820706 -0.09094203 0.3359523
## LSAS_23 0.069167273 0.633558419 -0.12654682 0.4246094
## LSAS_24 -0.013602811 0.574647841 0.00258195 0.3217282
## SPQ_cognitive_perceptual 0.182120785 0.193906172 0.46294258 0.4364054
## SPQ_interpersonal 0.298441273 0.578084219 -0.01440061 0.62521370.6.2 Tables and Output
#Factor Loadings Table & Communalities
factor_loadings_efa <- data.frame(
Variable = c("SDS_1", "SDS_11", "SDS_12", "SDS_14", "SDS_16", "OCI_2", "OCI_3", "LSAS_2", "EAT_1"),
`Factor 1 (Anxiety/Depression)` = c(0.752, 0.626, 0.637, 0.782, 0.630, NA, NA, NA, NA),
`Factor 2 (Compulsive Behaviour)` = c(NA, NA, NA, NA, NA, 0.408, 0.436, NA, NA),
`Factor 3 (Social Withdrawal)` = c(NA, NA, NA, NA, NA, NA, NA, 0.647, 0.664),
Communalities = c(0.65, 0.58, 0.60, 0.70, 0.62, 0.50, 0.55, 0.62, 0.65)
)
# Create an APA-style table
factor_table_efa <- nice_table(
factor_loadings_efa,
title = "Factor Loadings and Communalities from EFA Using Oblimin Rotation",
note = "Factor loadings below 0.4 are suppressed. Communalities represent the variance shared with all factors."
)
factor_table_efaFactor Loadings and Communalities from EFA Using Oblimin Rotation | ||||
|---|---|---|---|---|
Variable | Factor.1..Anxiety.Depression. | Factor.2..Compulsive.Behaviour. | Factor.3..Social.Withdrawal. | Communalities |
SDS_1 | 0.75 | 0.65 | ||
SDS_11 | 0.63 | 0.58 | ||
SDS_12 | 0.64 | 0.60 | ||
SDS_14 | 0.78 | 0.70 | ||
SDS_16 | 0.63 | 0.62 | ||
OCI_2 | 0.41 | 0.50 | ||
OCI_3 | 0.44 | 0.55 | ||
LSAS_2 | 0.65 | 0.62 | ||
EAT_1 | 0.66 | 0.65 | ||
Note. Factor loadings below 0.4 are suppressed. Communalities represent the variance shared with all factors. | ||||
save_as_docx(factor_table_efa, path = "Factor Loadings and Communalities from EFA Using Oblimin Rotation.docx")0.6.2.1 Model Comparison
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
## (as 'lib' is unspecified)## This is lavaan 0.6-19
## lavaan is FREE software! Please report any bugs.##
## Attaching package: 'lavaan'## The following object is masked from 'package:psych':
##
## cor2cov#single-factor model and 3-factor comparison
single_factor_model <- '
General_Factor =~ SDS_1 + SDS_11 + SDS_12 + SDS_14 + SDS_16 +
SDS_17 + SDS_18 + SDS_20 + AES_17 + AES_18 +
STAI_1 + STAI_3 + STAI_4 + STAI_5 + STAI_8 +
STAI_10 + STAI_12 + STAI_13 + STAI_15 +
STAI_16 + STAI_19 + STAI_20 +
OCI_2 + OCI_3 + OCI_4 + OCI_11 + OCI_12 +
OCI_16 + EAT_1 + EAT_3 + EAT_4 + EAT_10 +
EAT_11 + EAT_12 + EAT_14 + EAT_18 + EAT_21 +
EAT_23 + LSAS_2 + LSAS_6 + LSAS_7 + LSAS_8 +
LSAS_9 + LSAS_10 + LSAS_11 + LSAS_12 + LSAS_15 +
LSAS_16 + LSAS_18 + LSAS_19 + LSAS_20 +
SPQ_cognitive_perceptual + SPQ_interpersonal
'
single_fit <- cfa(model = single_factor_model, data = dat_efa_h4)
summary(single_fit, fit.measures = TRUE, standardized = TRUE)## lavaan 0.6-19 ended normally after 48 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 106
##
## Number of observations 880
##
## Model Test User Model:
##
## Test statistic 16849.204
## Degrees of freedom 1325
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 35483.036
## Degrees of freedom 1378
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.545
## Tucker-Lewis Index (TLI) 0.527
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -61493.072
## Loglikelihood unrestricted model (H1) -53068.470
##
## Akaike (AIC) 123198.144
## Bayesian (BIC) 123704.816
## Sample-size adjusted Bayesian (SABIC) 123368.183
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.115
## 90 Percent confidence interval - lower 0.114
## 90 Percent confidence interval - upper 0.117
## P-value H_0: RMSEA <= 0.050 0.000
## P-value H_0: RMSEA >= 0.080 1.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.120
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Structured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## General_Factor =~
## SDS_1 1.000 0.599 0.670
## SDS_11 1.124 0.062 18.130 0.000 0.674 0.649
## SDS_12 1.009 0.058 17.525 0.000 0.605 0.625
## SDS_14 1.196 0.062 19.434 0.000 0.717 0.701
## SDS_16 1.107 0.058 19.171 0.000 0.663 0.690
## SDS_17 1.236 0.059 20.853 0.000 0.741 0.758
## SDS_18 1.032 0.061 17.010 0.000 0.618 0.605
## SDS_20 1.128 0.058 19.603 0.000 0.676 0.708
## AES_17 0.663 0.046 14.350 0.000 0.398 0.505
## AES_18 0.889 0.050 17.774 0.000 0.533 0.635
## STAI_1 1.020 0.050 20.429 0.000 0.611 0.741
## STAI_3 1.169 0.055 21.090 0.000 0.701 0.768
## STAI_4 0.999 0.058 17.257 0.000 0.599 0.615
## STAI_5 1.173 0.055 21.139 0.000 0.703 0.770
## STAI_8 1.135 0.056 20.358 0.000 0.680 0.738
## STAI_10 1.142 0.054 21.134 0.000 0.684 0.770
## STAI_12 1.270 0.061 20.665 0.000 0.761 0.751
## STAI_13 1.152 0.055 20.923 0.000 0.691 0.761
## STAI_15 1.147 0.054 21.228 0.000 0.687 0.774
## STAI_16 1.153 0.055 21.151 0.000 0.691 0.771
## STAI_19 0.913 0.051 17.928 0.000 0.547 0.641
## STAI_20 0.983 0.054 18.180 0.000 0.589 0.651
## OCI_2 0.730 0.067 10.940 0.000 0.437 0.380
## OCI_3 0.495 0.060 8.256 0.000 0.297 0.285
## OCI_4 0.433 0.057 7.590 0.000 0.260 0.262
## OCI_11 0.376 0.052 7.202 0.000 0.225 0.248
## OCI_12 1.124 0.070 16.152 0.000 0.674 0.573
## OCI_16 0.277 0.051 5.472 0.000 0.166 0.188
## EAT_1 0.939 0.091 10.329 0.000 0.563 0.358
## EAT_3 0.789 0.076 10.372 0.000 0.473 0.360
## EAT_4 0.759 0.073 10.352 0.000 0.455 0.359
## EAT_10 0.943 0.073 12.835 0.000 0.565 0.449
## EAT_11 0.944 0.087 10.797 0.000 0.565 0.375
## EAT_12 0.322 0.086 3.729 0.000 0.193 0.128
## EAT_14 0.896 0.082 10.939 0.000 0.537 0.380
## EAT_18 0.835 0.075 11.085 0.000 0.500 0.385
## EAT_21 0.783 0.080 9.734 0.000 0.469 0.337
## EAT_23 0.489 0.076 6.437 0.000 0.293 0.221
## LSAS_2 0.855 0.050 17.113 0.000 0.512 0.609
## LSAS_6 1.002 0.063 15.888 0.000 0.600 0.563
## LSAS_7 0.854 0.056 15.148 0.000 0.512 0.535
## LSAS_8 0.965 0.055 17.424 0.000 0.578 0.621
## LSAS_9 0.889 0.055 16.285 0.000 0.533 0.578
## LSAS_10 0.963 0.053 18.068 0.000 0.577 0.647
## LSAS_11 1.024 0.053 19.406 0.000 0.614 0.700
## LSAS_12 1.064 0.057 18.802 0.000 0.638 0.676
## LSAS_15 0.999 0.059 17.029 0.000 0.599 0.606
## LSAS_16 1.072 0.061 17.634 0.000 0.643 0.630
## LSAS_18 0.917 0.054 17.073 0.000 0.550 0.608
## LSAS_19 0.956 0.054 17.767 0.000 0.573 0.635
## LSAS_20 1.094 0.060 18.237 0.000 0.656 0.653
## SPQ_cgntv_prcp 8.386 0.558 15.029 0.000 5.026 0.530
## SPQ_interprsnl 11.400 0.556 20.502 0.000 6.832 0.744
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .SDS_1 0.440 0.021 20.483 0.000 0.440 0.551
## .SDS_11 0.624 0.030 20.537 0.000 0.624 0.579
## .SDS_12 0.570 0.028 20.588 0.000 0.570 0.609
## .SDS_14 0.533 0.026 20.393 0.000 0.533 0.509
## .SDS_16 0.483 0.024 20.427 0.000 0.483 0.524
## .SDS_17 0.406 0.020 20.158 0.000 0.406 0.425
## .SDS_18 0.660 0.032 20.627 0.000 0.660 0.633
## .SDS_20 0.456 0.022 20.371 0.000 0.456 0.499
## .AES_17 0.462 0.022 20.770 0.000 0.462 0.745
## .AES_18 0.420 0.020 20.568 0.000 0.420 0.597
## .STAI_1 0.307 0.015 20.241 0.000 0.307 0.451
## .STAI_3 0.341 0.017 20.107 0.000 0.341 0.410
## .STAI_4 0.589 0.029 20.609 0.000 0.589 0.622
## .STAI_5 0.339 0.017 20.095 0.000 0.339 0.407
## .STAI_8 0.387 0.019 20.253 0.000 0.387 0.455
## .STAI_10 0.322 0.016 20.096 0.000 0.322 0.407
## .STAI_12 0.449 0.022 20.196 0.000 0.449 0.437
## .STAI_13 0.346 0.017 20.144 0.000 0.346 0.421
## .STAI_15 0.316 0.016 20.074 0.000 0.316 0.401
## .STAI_16 0.327 0.016 20.093 0.000 0.327 0.406
## .STAI_19 0.429 0.021 20.555 0.000 0.429 0.589
## .STAI_20 0.472 0.023 20.532 0.000 0.472 0.576
## .OCI_2 1.132 0.054 20.874 0.000 1.132 0.855
## .OCI_3 0.997 0.048 20.923 0.000 0.997 0.919
## .OCI_4 0.918 0.044 20.932 0.000 0.918 0.932
## .OCI_11 0.775 0.037 20.937 0.000 0.775 0.939
## .OCI_12 0.931 0.045 20.682 0.000 0.931 0.672
## .OCI_16 0.752 0.036 20.954 0.000 0.752 0.965
## .EAT_1 2.151 0.103 20.887 0.000 2.151 0.872
## .EAT_3 1.505 0.072 20.886 0.000 1.505 0.871
## .EAT_4 1.397 0.067 20.887 0.000 1.397 0.871
## .EAT_10 1.266 0.061 20.824 0.000 1.266 0.799
## .EAT_11 1.954 0.094 20.877 0.000 1.954 0.859
## .EAT_12 2.252 0.107 20.966 0.000 2.252 0.984
## .EAT_14 1.708 0.082 20.874 0.000 1.708 0.855
## .EAT_18 1.435 0.069 20.871 0.000 1.435 0.851
## .EAT_21 1.718 0.082 20.899 0.000 1.718 0.886
## .EAT_23 1.666 0.080 20.945 0.000 1.666 0.951
## .LSAS_2 0.444 0.022 20.619 0.000 0.444 0.629
## .LSAS_6 0.779 0.038 20.697 0.000 0.779 0.684
## .LSAS_7 0.655 0.032 20.735 0.000 0.655 0.714
## .LSAS_8 0.531 0.026 20.596 0.000 0.531 0.614
## .LSAS_9 0.567 0.027 20.674 0.000 0.567 0.666
## .LSAS_10 0.464 0.023 20.542 0.000 0.464 0.582
## .LSAS_11 0.393 0.019 20.397 0.000 0.393 0.511
## .LSAS_12 0.485 0.024 20.469 0.000 0.485 0.544
## .LSAS_15 0.618 0.030 20.625 0.000 0.618 0.633
## .LSAS_16 0.629 0.031 20.580 0.000 0.629 0.604
## .LSAS_18 0.515 0.025 20.622 0.000 0.515 0.630
## .LSAS_19 0.486 0.024 20.569 0.000 0.486 0.597
## .LSAS_20 0.578 0.028 20.527 0.000 0.578 0.573
## .SPQ_cgntv_prcp 64.640 3.117 20.740 0.000 64.640 0.719
## .SPQ_interprsnl 37.665 1.862 20.227 0.000 37.665 0.447
## General_Factor 0.359 0.032 11.176 0.000 1.000 1.000#3-factor comparison
three_factor_model <- '
Anxiety_Depression =~ SDS_1 + SDS_11 + SDS_12 + SDS_14 + SDS_16 +
SDS_17 + SDS_18 + SDS_20 + AES_17 + AES_18 +
STAI_1 + STAI_3 + STAI_4 + STAI_5 + STAI_8 +
STAI_10 + STAI_12 + STAI_13 + STAI_15 +
STAI_16 + STAI_19 + STAI_20
Compulsive_Behavior =~ OCI_2 + OCI_3 + OCI_4 + OCI_11 + OCI_12 + OCI_16 +
EAT_1 + EAT_3 + EAT_4 + EAT_10 +
EAT_11 + EAT_12 + EAT_14 + EAT_18 + EAT_21 +
EAT_23
Social_Withdrawal =~ LSAS_2 + LSAS_6 + LSAS_7 + LSAS_8 +
LSAS_9 + LSAS_10 + LSAS_11 + LSAS_12 + LSAS_15 +
LSAS_16 + LSAS_18 + LSAS_19 + LSAS_20 +
SPQ_cognitive_perceptual + SPQ_interpersonal
'
three_fit <- cfa(model = three_factor_model, data = dat_efa_h4)
summary(three_fit, fit.measures = TRUE, standardized = TRUE)## lavaan 0.6-19 ended normally after 73 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 109
##
## Number of observations 880
##
## Model Test User Model:
##
## Test statistic 8563.058
## Degrees of freedom 1322
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 35483.036
## Degrees of freedom 1378
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.788
## Tucker-Lewis Index (TLI) 0.779
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -57349.999
## Loglikelihood unrestricted model (H1) -53068.470
##
## Akaike (AIC) 114917.998
## Bayesian (BIC) 115439.009
## Sample-size adjusted Bayesian (SABIC) 115092.849
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.079
## 90 Percent confidence interval - lower 0.077
## 90 Percent confidence interval - upper 0.080
## P-value H_0: RMSEA <= 0.050 0.000
## P-value H_0: RMSEA >= 0.080 0.128
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.089
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Structured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Anxiety_Depression =~
## SDS_1 1.000 0.643 0.719
## SDS_11 1.073 0.055 19.626 0.000 0.689 0.664
## SDS_12 0.980 0.051 19.217 0.000 0.629 0.651
## SDS_14 1.208 0.054 22.516 0.000 0.776 0.759
## SDS_16 1.045 0.051 20.676 0.000 0.671 0.699
## SDS_17 1.206 0.051 23.568 0.000 0.775 0.793
## SDS_18 1.036 0.054 19.245 0.000 0.665 0.652
## SDS_20 1.108 0.050 22.089 0.000 0.712 0.745
## AES_17 0.636 0.042 15.240 0.000 0.408 0.518
## AES_18 0.866 0.044 19.586 0.000 0.556 0.663
## STAI_1 1.024 0.043 23.714 0.000 0.658 0.798
## STAI_3 1.176 0.048 24.663 0.000 0.756 0.828
## STAI_4 0.920 0.051 17.908 0.000 0.591 0.607
## STAI_5 1.117 0.048 23.360 0.000 0.718 0.786
## STAI_8 1.071 0.048 22.134 0.000 0.688 0.746
## STAI_10 1.168 0.046 25.152 0.000 0.750 0.844
## STAI_12 1.115 0.053 20.909 0.000 0.717 0.706
## STAI_13 1.134 0.047 23.883 0.000 0.729 0.803
## STAI_15 1.068 0.047 22.950 0.000 0.686 0.773
## STAI_16 1.172 0.047 25.003 0.000 0.753 0.839
## STAI_19 0.874 0.045 19.443 0.000 0.562 0.658
## STAI_20 0.888 0.048 18.595 0.000 0.570 0.630
## Compulsive_Behavior =~
## OCI_2 1.000 0.371 0.322
## OCI_3 0.865 0.128 6.750 0.000 0.321 0.308
## OCI_4 0.785 0.120 6.556 0.000 0.291 0.293
## OCI_11 0.623 0.104 5.990 0.000 0.231 0.254
## OCI_12 1.305 0.167 7.821 0.000 0.484 0.411
## OCI_16 0.686 0.106 6.486 0.000 0.254 0.288
## EAT_1 3.155 0.337 9.368 0.000 1.170 0.745
## EAT_3 2.730 0.290 9.426 0.000 1.013 0.770
## EAT_4 2.383 0.258 9.246 0.000 0.884 0.698
## EAT_10 2.806 0.294 9.540 0.000 1.041 0.826
## EAT_11 3.438 0.359 9.574 0.000 1.275 0.846
## EAT_12 2.301 0.262 8.766 0.000 0.853 0.564
## EAT_14 3.057 0.322 9.493 0.000 1.134 0.802
## EAT_18 2.838 0.298 9.510 0.000 1.052 0.811
## EAT_21 3.018 0.318 9.497 0.000 1.119 0.804
## EAT_23 2.397 0.261 9.169 0.000 0.889 0.672
## Social_Withdrawal =~
## LSAS_2 1.000 0.592 0.704
## LSAS_6 1.261 0.063 20.139 0.000 0.746 0.699
## LSAS_7 1.069 0.056 19.028 0.000 0.632 0.660
## LSAS_8 1.114 0.055 20.404 0.000 0.659 0.708
## LSAS_9 1.051 0.054 19.430 0.000 0.622 0.674
## LSAS_10 1.163 0.052 22.161 0.000 0.688 0.770
## LSAS_11 1.300 0.052 25.151 0.000 0.769 0.877
## LSAS_12 1.364 0.056 24.540 0.000 0.807 0.855
## LSAS_15 1.298 0.058 22.349 0.000 0.768 0.777
## LSAS_16 1.350 0.060 22.492 0.000 0.798 0.782
## LSAS_18 1.128 0.053 21.242 0.000 0.667 0.738
## LSAS_19 1.143 0.053 21.575 0.000 0.676 0.750
## LSAS_20 1.326 0.059 22.462 0.000 0.784 0.781
## SPQ_cgntv_prcp 6.999 0.554 12.631 0.000 4.140 0.437
## SPQ_interprsnl 11.795 0.540 21.859 0.000 6.977 0.760
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Anxiety_Depression ~~
## Compulsiv_Bhvr 0.091 0.013 6.881 0.000 0.382 0.382
## Social_Wthdrwl 0.254 0.020 12.780 0.000 0.668 0.668
## Compulsive_Behavior ~~
## Social_Wthdrwl 0.073 0.011 6.462 0.000 0.335 0.335
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .SDS_1 0.386 0.019 20.190 0.000 0.386 0.483
## .SDS_11 0.602 0.030 20.396 0.000 0.602 0.559
## .SDS_12 0.539 0.026 20.436 0.000 0.539 0.577
## .SDS_14 0.444 0.022 19.978 0.000 0.444 0.424
## .SDS_16 0.472 0.023 20.275 0.000 0.472 0.512
## .SDS_17 0.354 0.018 19.729 0.000 0.354 0.371
## .SDS_18 0.600 0.029 20.434 0.000 0.600 0.575
## .SDS_20 0.406 0.020 20.059 0.000 0.406 0.445
## .AES_17 0.454 0.022 20.706 0.000 0.454 0.731
## .AES_18 0.395 0.019 20.400 0.000 0.395 0.561
## .STAI_1 0.247 0.013 19.688 0.000 0.247 0.364
## .STAI_3 0.261 0.013 19.366 0.000 0.261 0.314
## .STAI_4 0.598 0.029 20.547 0.000 0.598 0.631
## .STAI_5 0.318 0.016 19.785 0.000 0.318 0.382
## .STAI_8 0.376 0.019 20.051 0.000 0.376 0.443
## .STAI_10 0.227 0.012 19.150 0.000 0.227 0.287
## .STAI_12 0.516 0.025 20.244 0.000 0.516 0.501
## .STAI_13 0.292 0.015 19.638 0.000 0.292 0.355
## .STAI_15 0.317 0.016 19.884 0.000 0.317 0.402
## .STAI_16 0.238 0.012 19.220 0.000 0.238 0.295
## .STAI_19 0.413 0.020 20.415 0.000 0.413 0.567
## .STAI_20 0.494 0.024 20.492 0.000 0.494 0.603
## .OCI_2 1.186 0.057 20.824 0.000 1.186 0.896
## .OCI_3 0.983 0.047 20.839 0.000 0.983 0.905
## .OCI_4 0.901 0.043 20.853 0.000 0.901 0.914
## .OCI_11 0.772 0.037 20.886 0.000 0.772 0.935
## .OCI_12 1.150 0.056 20.709 0.000 1.150 0.831
## .OCI_16 0.715 0.034 20.858 0.000 0.715 0.917
## .EAT_1 1.099 0.057 19.336 0.000 1.099 0.445
## .EAT_3 0.703 0.037 19.056 0.000 0.703 0.407
## .EAT_4 0.823 0.042 19.729 0.000 0.823 0.513
## .EAT_10 0.502 0.028 18.131 0.000 0.502 0.317
## .EAT_11 0.648 0.037 17.662 0.000 0.648 0.285
## .EAT_12 1.561 0.077 20.364 0.000 1.561 0.682
## .EAT_14 0.712 0.038 18.595 0.000 0.712 0.356
## .EAT_18 0.577 0.031 18.444 0.000 0.577 0.343
## .EAT_21 0.686 0.037 18.567 0.000 0.686 0.354
## .EAT_23 0.962 0.048 19.897 0.000 0.962 0.549
## .LSAS_2 0.356 0.018 20.020 0.000 0.356 0.505
## .LSAS_6 0.582 0.029 20.045 0.000 0.582 0.511
## .LSAS_7 0.518 0.026 20.225 0.000 0.518 0.564
## .LSAS_8 0.431 0.022 19.995 0.000 0.431 0.498
## .LSAS_9 0.464 0.023 20.165 0.000 0.464 0.546
## .LSAS_10 0.324 0.017 19.552 0.000 0.324 0.406
## .LSAS_11 0.178 0.010 17.725 0.000 0.178 0.231
## .LSAS_12 0.240 0.013 18.321 0.000 0.240 0.269
## .LSAS_15 0.387 0.020 19.490 0.000 0.387 0.396
## .LSAS_16 0.405 0.021 19.439 0.000 0.405 0.388
## .LSAS_18 0.372 0.019 19.811 0.000 0.372 0.455
## .LSAS_19 0.356 0.018 19.725 0.000 0.356 0.438
## .LSAS_20 0.393 0.020 19.450 0.000 0.393 0.390
## .SPQ_cgntv_prcp 72.759 3.507 20.747 0.000 72.759 0.809
## .SPQ_interprsnl 35.662 1.815 19.645 0.000 35.662 0.423
## Anxiety_Dprssn 0.413 0.034 12.233 0.000 1.000 1.000
## Compulsiv_Bhvr 0.138 0.029 4.771 0.000 1.000 1.000
## Social_Wthdrwl 0.350 0.030 11.840 0.000 1.000 1.000##
## Chi-Squared Difference Test
##
## Df AIC BIC Chisq Chisq diff RMSEA Df diff Pr(>Chisq)
## three_fit 1322 114918 115439 8563.1
## single_fit 1325 123198 123705 16849.2 8286.1 1.7713 3 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## cfi tli rmsea srmr
## 0.545 0.527 0.115 0.120## cfi tli rmsea srmr
## 0.788 0.779 0.079 0.089## lhs op rhs est.std se z
## 1 General_Factor =~ SDS_1 0.670 0.019 35.184
## 2 General_Factor =~ SDS_11 0.649 0.020 32.443
## 3 General_Factor =~ SDS_12 0.625 0.021 29.754
## 4 General_Factor =~ SDS_14 0.701 0.018 39.688
## 5 General_Factor =~ SDS_16 0.690 0.018 38.029
## 6 General_Factor =~ SDS_17 0.758 0.015 51.136
## 7 General_Factor =~ SDS_18 0.605 0.022 27.716
## 8 General_Factor =~ SDS_20 0.708 0.017 40.812
## 9 General_Factor =~ AES_17 0.505 0.026 19.706
## 10 General_Factor =~ AES_18 0.635 0.021 30.816
## 11 General_Factor =~ STAI_1 0.741 0.016 47.183
## 12 General_Factor =~ STAI_3 0.768 0.014 53.606
## 13 General_Factor =~ STAI_4 0.615 0.021 28.665
## 14 General_Factor =~ STAI_5 0.770 0.014 54.149
## 15 General_Factor =~ STAI_8 0.738 0.016 46.567
## 16 General_Factor =~ STAI_10 0.770 0.014 54.096
## 17 General_Factor =~ STAI_12 0.751 0.015 49.311
## 18 General_Factor =~ STAI_13 0.761 0.015 51.844
## 19 General_Factor =~ STAI_15 0.774 0.014 55.153
## 20 General_Factor =~ STAI_16 0.771 0.014 54.280
## 21 General_Factor =~ STAI_19 0.641 0.020 31.504
## 22 General_Factor =~ STAI_20 0.651 0.020 32.677
## 23 General_Factor =~ OCI_2 0.380 0.029 12.964
## 24 General_Factor =~ OCI_3 0.285 0.031 9.057
## 25 General_Factor =~ OCI_4 0.262 0.032 8.202
## 26 General_Factor =~ OCI_11 0.248 0.032 7.720
## 27 General_Factor =~ OCI_12 0.573 0.023 24.731
## 28 General_Factor =~ OCI_16 0.188 0.033 5.692
## 29 General_Factor =~ EAT_1 0.358 0.030 11.997
## 30 General_Factor =~ EAT_3 0.360 0.030 12.063
## 31 General_Factor =~ EAT_4 0.359 0.030 12.032
## 32 General_Factor =~ EAT_10 0.449 0.027 16.377
## 33 General_Factor =~ EAT_11 0.375 0.029 12.733
## 34 General_Factor =~ EAT_12 0.128 0.034 3.797
## 35 General_Factor =~ EAT_14 0.380 0.029 12.964
## 36 General_Factor =~ EAT_18 0.385 0.029 13.203
## 37 General_Factor =~ EAT_21 0.337 0.030 11.103
## 38 General_Factor =~ EAT_23 0.221 0.033 6.801
## 39 General_Factor =~ LSAS_2 0.609 0.022 28.107
## 40 General_Factor =~ LSAS_6 0.563 0.024 23.902
## 41 General_Factor =~ LSAS_7 0.535 0.025 21.760
## 42 General_Factor =~ LSAS_8 0.621 0.021 29.335
## 43 General_Factor =~ LSAS_9 0.578 0.023 25.166
## 44 General_Factor =~ LSAS_10 0.647 0.020 32.148
## 45 General_Factor =~ LSAS_11 0.700 0.018 39.503
## 46 General_Factor =~ LSAS_12 0.676 0.019 35.885
## 47 General_Factor =~ LSAS_15 0.606 0.022 27.786
## 48 General_Factor =~ LSAS_16 0.630 0.021 30.210
## 49 General_Factor =~ LSAS_18 0.608 0.022 27.953
## 50 General_Factor =~ LSAS_19 0.635 0.021 30.785
## 51 General_Factor =~ LSAS_20 0.653 0.020 32.955
## 52 General_Factor =~ SPQ_cognitive_perceptual 0.530 0.025 21.438
## 53 General_Factor =~ SPQ_interpersonal 0.744 0.016 47.819
## 54 SDS_1 ~~ SDS_1 0.551 0.026 21.547
## 55 SDS_11 ~~ SDS_11 0.579 0.026 22.288
## 56 SDS_12 ~~ SDS_12 0.609 0.026 23.160
## 57 SDS_14 ~~ SDS_14 0.509 0.025 20.568
## 58 SDS_16 ~~ SDS_16 0.524 0.025 20.900
## 59 SDS_17 ~~ SDS_17 0.425 0.022 18.891
## 60 SDS_18 ~~ SDS_18 0.633 0.026 23.946
## 61 SDS_20 ~~ SDS_20 0.499 0.025 20.360
## 62 AES_17 ~~ AES_17 0.745 0.026 28.829
## 63 AES_18 ~~ AES_18 0.597 0.026 22.796
## 64 STAI_1 ~~ STAI_1 0.451 0.023 19.375
## 65 STAI_3 ~~ STAI_3 0.410 0.022 18.625
## 66 STAI_4 ~~ STAI_4 0.622 0.026 23.565
## 67 STAI_5 ~~ STAI_5 0.407 0.022 18.570
## 68 STAI_8 ~~ STAI_8 0.455 0.023 19.458
## 69 STAI_10 ~~ STAI_10 0.407 0.022 18.576
## 70 STAI_12 ~~ STAI_12 0.437 0.023 19.104
## 71 STAI_13 ~~ STAI_13 0.421 0.022 18.812
## 72 STAI_15 ~~ STAI_15 0.401 0.022 18.471
## 73 STAI_16 ~~ STAI_16 0.406 0.022 18.557
## 74 STAI_19 ~~ STAI_19 0.589 0.026 22.574
## 75 STAI_20 ~~ STAI_20 0.576 0.026 22.220
## 76 OCI_2 ~~ OCI_2 0.855 0.022 38.372
## 77 OCI_3 ~~ OCI_3 0.919 0.018 51.263
## 78 OCI_4 ~~ OCI_4 0.932 0.017 55.853
## 79 OCI_11 ~~ OCI_11 0.939 0.016 58.915
## 80 OCI_12 ~~ OCI_12 0.672 0.027 25.358
## 81 OCI_16 ~~ OCI_16 0.965 0.012 77.808
## 82 EAT_1 ~~ EAT_1 0.872 0.021 40.723
## 83 EAT_3 ~~ EAT_3 0.871 0.021 40.551
## 84 EAT_4 ~~ EAT_4 0.871 0.021 40.631
## 85 EAT_10 ~~ EAT_10 0.799 0.025 32.461
## 86 EAT_11 ~~ EAT_11 0.859 0.022 38.899
## 87 EAT_12 ~~ EAT_12 0.984 0.009 114.452
## 88 EAT_14 ~~ EAT_14 0.855 0.022 38.373
## 89 EAT_18 ~~ EAT_18 0.851 0.022 37.849
## 90 EAT_21 ~~ EAT_21 0.886 0.020 43.297
## 91 EAT_23 ~~ EAT_23 0.951 0.014 66.021
## 92 LSAS_2 ~~ LSAS_2 0.629 0.026 23.786
## 93 LSAS_6 ~~ LSAS_6 0.684 0.026 25.820
## 94 LSAS_7 ~~ LSAS_7 0.714 0.026 27.195
## 95 LSAS_8 ~~ LSAS_8 0.614 0.026 23.312
## 96 LSAS_9 ~~ LSAS_9 0.666 0.027 25.129
## 97 LSAS_10 ~~ LSAS_10 0.582 0.026 22.376
## 98 LSAS_11 ~~ LSAS_11 0.511 0.025 20.604
## 99 LSAS_12 ~~ LSAS_12 0.544 0.025 21.378
## 100 LSAS_15 ~~ LSAS_15 0.633 0.026 23.917
## 101 LSAS_16 ~~ LSAS_16 0.604 0.026 23.000
## 102 LSAS_18 ~~ LSAS_18 0.630 0.026 23.848
## 103 LSAS_19 ~~ LSAS_19 0.597 0.026 22.806
## 104 LSAS_20 ~~ LSAS_20 0.573 0.026 22.140
## 105 SPQ_cognitive_perceptual ~~ SPQ_cognitive_perceptual 0.719 0.026 27.428
## 106 SPQ_interpersonal ~~ SPQ_interpersonal 0.447 0.023 19.291
## 107 General_Factor ~~ General_Factor 1.000 0.000 NA
## pvalue ci.lower ci.upper
## 1 0 0.633 0.708
## 2 0 0.610 0.688
## 3 0 0.584 0.667
## 4 0 0.666 0.735
## 5 0 0.655 0.726
## 6 0 0.729 0.787
## 7 0 0.563 0.648
## 8 0 0.674 0.741
## 9 0 0.455 0.555
## 10 0 0.595 0.675
## 11 0 0.710 0.772
## 12 0 0.740 0.796
## 13 0 0.573 0.657
## 14 0 0.742 0.798
## 15 0 0.707 0.769
## 16 0 0.742 0.798
## 17 0 0.721 0.780
## 18 0 0.732 0.790
## 19 0 0.746 0.801
## 20 0 0.743 0.798
## 21 0 0.601 0.681
## 22 0 0.612 0.690
## 23 0 0.323 0.438
## 24 0 0.223 0.347
## 25 0 0.199 0.324
## 26 0 0.185 0.311
## 27 0 0.527 0.618
## 28 0 0.123 0.253
## 29 0 0.300 0.417
## 30 0 0.301 0.418
## 31 0 0.301 0.418
## 32 0 0.395 0.503
## 33 0 0.317 0.433
## 34 0 0.062 0.194
## 35 0 0.323 0.438
## 36 0 0.328 0.443
## 37 0 0.278 0.397
## 38 0 0.158 0.285
## 39 0 0.567 0.652
## 40 0 0.516 0.609
## 41 0 0.486 0.583
## 42 0 0.580 0.663
## 43 0 0.533 0.623
## 44 0 0.607 0.686
## 45 0 0.665 0.734
## 46 0 0.639 0.712
## 47 0 0.563 0.649
## 48 0 0.589 0.670
## 49 0 0.565 0.650
## 50 0 0.594 0.675
## 51 0 0.614 0.692
## 52 0 0.482 0.579
## 53 0 0.713 0.774
## 54 0 0.500 0.601
## 55 0 0.528 0.630
## 56 0 0.557 0.660
## 57 0 0.460 0.557
## 58 0 0.475 0.573
## 59 0 0.381 0.469
## 60 0 0.582 0.685
## 61 0 0.451 0.548
## 62 0 0.695 0.796
## 63 0 0.545 0.648
## 64 0 0.405 0.497
## 65 0 0.367 0.453
## 66 0 0.570 0.674
## 67 0 0.364 0.450
## 68 0 0.409 0.501
## 69 0 0.364 0.450
## 70 0 0.392 0.481
## 71 0 0.377 0.464
## 72 0 0.359 0.444
## 73 0 0.363 0.449
## 74 0 0.538 0.640
## 75 0 0.525 0.627
## 76 0 0.812 0.899
## 77 0 0.884 0.954
## 78 0 0.899 0.964
## 79 0 0.907 0.970
## 80 0 0.620 0.724
## 81 0 0.940 0.989
## 82 0 0.830 0.914
## 83 0 0.828 0.913
## 84 0 0.829 0.913
## 85 0 0.750 0.847
## 86 0 0.816 0.903
## 87 0 0.967 1.001
## 88 0 0.812 0.899
## 89 0 0.807 0.896
## 90 0 0.846 0.926
## 91 0 0.923 0.979
## 92 0 0.577 0.680
## 93 0 0.632 0.735
## 94 0 0.663 0.766
## 95 0 0.562 0.665
## 96 0 0.614 0.718
## 97 0 0.531 0.633
## 98 0 0.462 0.559
## 99 0 0.494 0.594
## 100 0 0.581 0.684
## 101 0 0.552 0.655
## 102 0 0.579 0.682
## 103 0 0.546 0.648
## 104 0 0.523 0.624
## 105 0 0.668 0.770
## 106 0 0.401 0.492
## 107 NA 1.000 1.000## lhs op rhs est.std se z
## 1 Anxiety_Depression =~ SDS_1 0.719 0.017 42.515
## 2 Anxiety_Depression =~ SDS_11 0.664 0.019 34.156
## 3 Anxiety_Depression =~ SDS_12 0.651 0.020 32.468
## 4 Anxiety_Depression =~ SDS_14 0.759 0.015 50.866
## 5 Anxiety_Depression =~ SDS_16 0.699 0.018 39.115
## 6 Anxiety_Depression =~ SDS_17 0.793 0.013 60.353
## 7 Anxiety_Depression =~ SDS_18 0.652 0.020 32.578
## 8 Anxiety_Depression =~ SDS_20 0.745 0.016 47.690
## 9 Anxiety_Depression =~ AES_17 0.518 0.025 20.537
## 10 Anxiety_Depression =~ AES_18 0.663 0.020 33.987
## 11 Anxiety_Depression =~ STAI_1 0.798 0.013 61.898
## 12 Anxiety_Depression =~ STAI_3 0.828 0.011 73.826
## 13 Anxiety_Depression =~ STAI_4 0.607 0.022 27.767
## 14 Anxiety_Depression =~ STAI_5 0.786 0.013 58.254
## 15 Anxiety_Depression =~ STAI_8 0.746 0.016 48.008
## 16 Anxiety_Depression =~ STAI_10 0.844 0.010 81.638
## 17 Anxiety_Depression =~ STAI_12 0.706 0.018 40.356
## 18 Anxiety_Depression =~ STAI_13 0.803 0.013 63.769
## 19 Anxiety_Depression =~ STAI_15 0.773 0.014 54.461
## 20 Anxiety_Depression =~ STAI_16 0.839 0.011 79.116
## 21 Anxiety_Depression =~ STAI_19 0.658 0.020 33.384
## 22 Anxiety_Depression =~ STAI_20 0.630 0.021 30.111
## 23 Compulsive_Behavior =~ OCI_2 0.322 0.031 10.317
## 24 Compulsive_Behavior =~ OCI_3 0.308 0.032 9.759
## 25 Compulsive_Behavior =~ OCI_4 0.293 0.032 9.203
## 26 Compulsive_Behavior =~ OCI_11 0.254 0.033 7.811
## 27 Compulsive_Behavior =~ OCI_12 0.411 0.029 14.159
## 28 Compulsive_Behavior =~ OCI_16 0.288 0.032 9.012
## 29 Compulsive_Behavior =~ EAT_1 0.745 0.016 46.101
## 30 Compulsive_Behavior =~ EAT_3 0.770 0.015 51.720
## 31 Compulsive_Behavior =~ EAT_4 0.698 0.018 37.878
## 32 Compulsive_Behavior =~ EAT_10 0.826 0.012 69.255
## 33 Compulsive_Behavior =~ EAT_11 0.846 0.011 77.583
## 34 Compulsive_Behavior =~ EAT_12 0.564 0.024 23.436
## 35 Compulsive_Behavior =~ EAT_14 0.802 0.013 60.663
## 36 Compulsive_Behavior =~ EAT_18 0.811 0.013 63.497
## 37 Compulsive_Behavior =~ EAT_21 0.804 0.013 61.190
## 38 Compulsive_Behavior =~ EAT_23 0.672 0.020 34.240
## 39 Social_Withdrawal =~ LSAS_2 0.704 0.018 39.477
## 40 Social_Withdrawal =~ LSAS_6 0.699 0.018 38.722
## 41 Social_Withdrawal =~ LSAS_7 0.660 0.020 33.280
## 42 Social_Withdrawal =~ LSAS_8 0.708 0.018 40.219
## 43 Social_Withdrawal =~ LSAS_9 0.674 0.019 35.109
## 44 Social_Withdrawal =~ LSAS_10 0.770 0.015 52.962
## 45 Social_Withdrawal =~ LSAS_11 0.877 0.009 100.204
## 46 Social_Withdrawal =~ LSAS_12 0.855 0.010 85.597
## 47 Social_Withdrawal =~ LSAS_15 0.777 0.014 54.712
## 48 Social_Withdrawal =~ LSAS_16 0.782 0.014 56.112
## 49 Social_Withdrawal =~ LSAS_18 0.738 0.016 45.604
## 50 Social_Withdrawal =~ LSAS_19 0.750 0.016 48.065
## 51 Social_Withdrawal =~ LSAS_20 0.781 0.014 55.817
## 52 Social_Withdrawal =~ SPQ_cognitive_perceptual 0.437 0.028 15.559
## 53 Social_Withdrawal =~ SPQ_interpersonal 0.760 0.015 50.339
## 54 SDS_1 ~~ SDS_1 0.483 0.024 19.885
## 55 SDS_11 ~~ SDS_11 0.559 0.026 21.635
## 56 SDS_12 ~~ SDS_12 0.577 0.026 22.106
## 57 SDS_14 ~~ SDS_14 0.424 0.023 18.730
## 58 SDS_16 ~~ SDS_16 0.512 0.025 20.502
## 59 SDS_17 ~~ SDS_17 0.371 0.021 17.803
## 60 SDS_18 ~~ SDS_18 0.575 0.026 22.074
## 61 SDS_20 ~~ SDS_20 0.445 0.023 19.121
## 62 AES_17 ~~ AES_17 0.731 0.026 27.935
## 63 AES_18 ~~ AES_18 0.561 0.026 21.681
## 64 STAI_1 ~~ STAI_1 0.364 0.021 17.677
## 65 STAI_3 ~~ STAI_3 0.314 0.019 16.871
## 66 STAI_4 ~~ STAI_4 0.631 0.027 23.749
## 67 STAI_5 ~~ STAI_5 0.382 0.021 17.983
## 68 STAI_8 ~~ STAI_8 0.443 0.023 19.079
## 69 STAI_10 ~~ STAI_10 0.287 0.017 16.454
## 70 STAI_12 ~~ STAI_12 0.501 0.025 20.264
## 71 STAI_13 ~~ STAI_13 0.355 0.020 17.533
## 72 STAI_15 ~~ STAI_15 0.402 0.022 18.342
## 73 STAI_16 ~~ STAI_16 0.295 0.018 16.581
## 74 STAI_19 ~~ STAI_19 0.567 0.026 21.845
## 75 STAI_20 ~~ STAI_20 0.603 0.026 22.861
## 76 OCI_2 ~~ OCI_2 0.896 0.020 44.464
## 77 OCI_3 ~~ OCI_3 0.905 0.019 46.564
## 78 OCI_4 ~~ OCI_4 0.914 0.019 48.933
## 79 OCI_11 ~~ OCI_11 0.935 0.017 56.439
## 80 OCI_12 ~~ OCI_12 0.831 0.024 34.744
## 81 OCI_16 ~~ OCI_16 0.917 0.018 49.818
## 82 EAT_1 ~~ EAT_1 0.445 0.024 18.493
## 83 EAT_3 ~~ EAT_3 0.407 0.023 17.742
## 84 EAT_4 ~~ EAT_4 0.513 0.026 19.963
## 85 EAT_10 ~~ EAT_10 0.317 0.020 16.066
## 86 EAT_11 ~~ EAT_11 0.285 0.018 15.462
## 87 EAT_12 ~~ EAT_12 0.682 0.027 25.122
## 88 EAT_14 ~~ EAT_14 0.356 0.021 16.796
## 89 EAT_18 ~~ EAT_18 0.343 0.021 16.540
## 90 EAT_21 ~~ EAT_21 0.354 0.021 16.747
## 91 EAT_23 ~~ EAT_23 0.549 0.026 20.835
## 92 LSAS_2 ~~ LSAS_2 0.505 0.025 20.104
## 93 LSAS_6 ~~ LSAS_6 0.511 0.025 20.255
## 94 LSAS_7 ~~ LSAS_7 0.564 0.026 21.555
## 95 LSAS_8 ~~ LSAS_8 0.498 0.025 19.961
## 96 LSAS_9 ~~ LSAS_9 0.546 0.026 21.071
## 97 LSAS_10 ~~ LSAS_10 0.406 0.022 18.134
## 98 LSAS_11 ~~ LSAS_11 0.231 0.015 15.068
## 99 LSAS_12 ~~ LSAS_12 0.269 0.017 15.755
## 100 LSAS_15 ~~ LSAS_15 0.396 0.022 17.947
## 101 LSAS_16 ~~ LSAS_16 0.388 0.022 17.805
## 102 LSAS_18 ~~ LSAS_18 0.455 0.024 19.066
## 103 LSAS_19 ~~ LSAS_19 0.438 0.023 18.724
## 104 LSAS_20 ~~ LSAS_20 0.390 0.022 17.835
## 105 SPQ_cognitive_perceptual ~~ SPQ_cognitive_perceptual 0.809 0.025 33.019
## 106 SPQ_interpersonal ~~ SPQ_interpersonal 0.423 0.023 18.436
## 107 Anxiety_Depression ~~ Anxiety_Depression 1.000 0.000 NA
## 108 Compulsive_Behavior ~~ Compulsive_Behavior 1.000 0.000 NA
## 109 Social_Withdrawal ~~ Social_Withdrawal 1.000 0.000 NA
## 110 Anxiety_Depression ~~ Compulsive_Behavior 0.382 0.030 12.535
## 111 Anxiety_Depression ~~ Social_Withdrawal 0.668 0.020 33.205
## 112 Compulsive_Behavior ~~ Social_Withdrawal 0.335 0.032 10.515
## pvalue ci.lower ci.upper
## 1 0 0.686 0.752
## 2 0 0.626 0.702
## 3 0 0.611 0.690
## 4 0 0.730 0.788
## 5 0 0.664 0.734
## 6 0 0.767 0.819
## 7 0 0.612 0.691
## 8 0 0.714 0.776
## 9 0 0.469 0.568
## 10 0 0.625 0.701
## 11 0 0.773 0.823
## 12 0 0.806 0.850
## 13 0 0.565 0.650
## 14 0 0.760 0.813
## 15 0 0.716 0.777
## 16 0 0.824 0.864
## 17 0 0.672 0.741
## 18 0 0.779 0.828
## 19 0 0.745 0.801
## 20 0 0.819 0.860
## 21 0 0.619 0.697
## 22 0 0.589 0.671
## 23 0 0.261 0.384
## 24 0 0.246 0.370
## 25 0 0.231 0.356
## 26 0 0.191 0.318
## 27 0 0.354 0.468
## 28 0 0.225 0.351
## 29 0 0.713 0.777
## 30 0 0.741 0.799
## 31 0 0.662 0.734
## 32 0 0.803 0.850
## 33 0 0.824 0.867
## 34 0 0.517 0.611
## 35 0 0.776 0.828
## 36 0 0.786 0.836
## 37 0 0.778 0.830
## 38 0 0.633 0.710
## 39 0 0.669 0.739
## 40 0 0.664 0.734
## 41 0 0.621 0.699
## 42 0 0.674 0.743
## 43 0 0.637 0.712
## 44 0 0.742 0.799
## 45 0 0.860 0.894
## 46 0 0.835 0.875
## 47 0 0.749 0.805
## 48 0 0.755 0.809
## 49 0 0.706 0.770
## 50 0 0.719 0.780
## 51 0 0.754 0.809
## 52 0 0.382 0.492
## 53 0 0.730 0.789
## 54 0 0.436 0.531
## 55 0 0.508 0.609
## 56 0 0.525 0.628
## 57 0 0.380 0.468
## 58 0 0.463 0.561
## 59 0 0.330 0.412
## 60 0 0.524 0.626
## 61 0 0.399 0.491
## 62 0 0.680 0.783
## 63 0 0.510 0.611
## 64 0 0.323 0.404
## 65 0 0.277 0.350
## 66 0 0.579 0.683
## 67 0 0.340 0.423
## 68 0 0.397 0.488
## 69 0 0.253 0.322
## 70 0 0.453 0.550
## 71 0 0.315 0.394
## 72 0 0.359 0.445
## 73 0 0.260 0.330
## 74 0 0.516 0.618
## 75 0 0.551 0.655
## 76 0 0.857 0.936
## 77 0 0.867 0.943
## 78 0 0.877 0.951
## 79 0 0.903 0.968
## 80 0 0.784 0.878
## 81 0 0.881 0.953
## 82 0 0.398 0.492
## 83 0 0.362 0.452
## 84 0 0.463 0.564
## 85 0 0.278 0.356
## 86 0 0.249 0.321
## 87 0 0.629 0.735
## 88 0 0.315 0.398
## 89 0 0.302 0.383
## 90 0 0.312 0.395
## 91 0 0.497 0.601
## 92 0 0.455 0.554
## 93 0 0.462 0.561
## 94 0 0.513 0.616
## 95 0 0.449 0.547
## 96 0 0.495 0.596
## 97 0 0.363 0.450
## 98 0 0.201 0.261
## 99 0 0.236 0.303
## 100 0 0.353 0.439
## 101 0 0.346 0.431
## 102 0 0.409 0.502
## 103 0 0.392 0.484
## 104 0 0.347 0.433
## 105 0 0.761 0.857
## 106 0 0.378 0.468
## 107 NA 1.000 1.000
## 108 NA 1.000 1.000
## 109 NA 1.000 1.000
## 110 0 0.322 0.442
## 111 0 0.628 0.707
## 112 0 0.272 0.3970.6.3 CFA Model
# latent factor structure and fitting model based on the EFA
#CFA model
CFA_model <- '
# Anxiety/Depression
Anxiety_Depression =~ SDS_1 + SDS_11 + SDS_12 + SDS_14 + SDS_16 +
SDS_17 + SDS_18 + SDS_20 + AES_17 + AES_18 +
STAI_1 + STAI_3 + STAI_4 + STAI_5 + STAI_8 +
STAI_10 + STAI_12 + STAI_13 + STAI_15 +
STAI_16 + STAI_19 + STAI_20
# Compulsive Behavior
Compulsive_Behavior =~ OCI_2 + OCI_3 + OCI_4 + OCI_11 + OCI_12 +
OCI_16 + EAT_1 + EAT_3 + EAT_4 + EAT_10 +
EAT_11 + EAT_12 + EAT_14 + EAT_18 + EAT_21 +
EAT_23
# Social Withdrawal
Social_Withdrawal =~ LSAS_2 + LSAS_6 + LSAS_7 + LSAS_8 + LSAS_9 +
LSAS_10 + LSAS_11 + LSAS_12 + LSAS_15 + LSAS_16 +
LSAS_18 + LSAS_19 + LSAS_20 + SPQ_cognitive_perceptual +
SPQ_interpersonal
'0.6.3.1 Model Fitting
# Fit of the CFA model
CFA_fit <- cfa(model = CFA_model, data = dat_efa_h4)
summary(CFA_fit, fit.measures = TRUE, standardized = TRUE)## lavaan 0.6-19 ended normally after 73 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 109
##
## Number of observations 880
##
## Model Test User Model:
##
## Test statistic 8563.058
## Degrees of freedom 1322
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 35483.036
## Degrees of freedom 1378
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.788
## Tucker-Lewis Index (TLI) 0.779
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -57349.999
## Loglikelihood unrestricted model (H1) -53068.470
##
## Akaike (AIC) 114917.998
## Bayesian (BIC) 115439.009
## Sample-size adjusted Bayesian (SABIC) 115092.849
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.079
## 90 Percent confidence interval - lower 0.077
## 90 Percent confidence interval - upper 0.080
## P-value H_0: RMSEA <= 0.050 0.000
## P-value H_0: RMSEA >= 0.080 0.128
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.089
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Structured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Anxiety_Depression =~
## SDS_1 1.000 0.643 0.719
## SDS_11 1.073 0.055 19.626 0.000 0.689 0.664
## SDS_12 0.980 0.051 19.217 0.000 0.629 0.651
## SDS_14 1.208 0.054 22.516 0.000 0.776 0.759
## SDS_16 1.045 0.051 20.676 0.000 0.671 0.699
## SDS_17 1.206 0.051 23.568 0.000 0.775 0.793
## SDS_18 1.036 0.054 19.245 0.000 0.665 0.652
## SDS_20 1.108 0.050 22.089 0.000 0.712 0.745
## AES_17 0.636 0.042 15.240 0.000 0.408 0.518
## AES_18 0.866 0.044 19.586 0.000 0.556 0.663
## STAI_1 1.024 0.043 23.714 0.000 0.658 0.798
## STAI_3 1.176 0.048 24.663 0.000 0.756 0.828
## STAI_4 0.920 0.051 17.908 0.000 0.591 0.607
## STAI_5 1.117 0.048 23.360 0.000 0.718 0.786
## STAI_8 1.071 0.048 22.134 0.000 0.688 0.746
## STAI_10 1.168 0.046 25.152 0.000 0.750 0.844
## STAI_12 1.115 0.053 20.909 0.000 0.717 0.706
## STAI_13 1.134 0.047 23.883 0.000 0.729 0.803
## STAI_15 1.068 0.047 22.950 0.000 0.686 0.773
## STAI_16 1.172 0.047 25.003 0.000 0.753 0.839
## STAI_19 0.874 0.045 19.443 0.000 0.562 0.658
## STAI_20 0.888 0.048 18.595 0.000 0.570 0.630
## Compulsive_Behavior =~
## OCI_2 1.000 0.371 0.322
## OCI_3 0.865 0.128 6.750 0.000 0.321 0.308
## OCI_4 0.785 0.120 6.556 0.000 0.291 0.293
## OCI_11 0.623 0.104 5.990 0.000 0.231 0.254
## OCI_12 1.305 0.167 7.821 0.000 0.484 0.411
## OCI_16 0.686 0.106 6.486 0.000 0.254 0.288
## EAT_1 3.155 0.337 9.368 0.000 1.170 0.745
## EAT_3 2.730 0.290 9.426 0.000 1.013 0.770
## EAT_4 2.383 0.258 9.246 0.000 0.884 0.698
## EAT_10 2.806 0.294 9.540 0.000 1.041 0.826
## EAT_11 3.438 0.359 9.574 0.000 1.275 0.846
## EAT_12 2.301 0.262 8.766 0.000 0.853 0.564
## EAT_14 3.057 0.322 9.493 0.000 1.134 0.802
## EAT_18 2.838 0.298 9.510 0.000 1.052 0.811
## EAT_21 3.018 0.318 9.497 0.000 1.119 0.804
## EAT_23 2.397 0.261 9.169 0.000 0.889 0.672
## Social_Withdrawal =~
## LSAS_2 1.000 0.592 0.704
## LSAS_6 1.261 0.063 20.139 0.000 0.746 0.699
## LSAS_7 1.069 0.056 19.028 0.000 0.632 0.660
## LSAS_8 1.114 0.055 20.404 0.000 0.659 0.708
## LSAS_9 1.051 0.054 19.430 0.000 0.622 0.674
## LSAS_10 1.163 0.052 22.161 0.000 0.688 0.770
## LSAS_11 1.300 0.052 25.151 0.000 0.769 0.877
## LSAS_12 1.364 0.056 24.540 0.000 0.807 0.855
## LSAS_15 1.298 0.058 22.349 0.000 0.768 0.777
## LSAS_16 1.350 0.060 22.492 0.000 0.798 0.782
## LSAS_18 1.128 0.053 21.242 0.000 0.667 0.738
## LSAS_19 1.143 0.053 21.575 0.000 0.676 0.750
## LSAS_20 1.326 0.059 22.462 0.000 0.784 0.781
## SPQ_cgntv_prcp 6.999 0.554 12.631 0.000 4.140 0.437
## SPQ_interprsnl 11.795 0.540 21.859 0.000 6.977 0.760
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Anxiety_Depression ~~
## Compulsiv_Bhvr 0.091 0.013 6.881 0.000 0.382 0.382
## Social_Wthdrwl 0.254 0.020 12.780 0.000 0.668 0.668
## Compulsive_Behavior ~~
## Social_Wthdrwl 0.073 0.011 6.462 0.000 0.335 0.335
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .SDS_1 0.386 0.019 20.190 0.000 0.386 0.483
## .SDS_11 0.602 0.030 20.396 0.000 0.602 0.559
## .SDS_12 0.539 0.026 20.436 0.000 0.539 0.577
## .SDS_14 0.444 0.022 19.978 0.000 0.444 0.424
## .SDS_16 0.472 0.023 20.275 0.000 0.472 0.512
## .SDS_17 0.354 0.018 19.729 0.000 0.354 0.371
## .SDS_18 0.600 0.029 20.434 0.000 0.600 0.575
## .SDS_20 0.406 0.020 20.059 0.000 0.406 0.445
## .AES_17 0.454 0.022 20.706 0.000 0.454 0.731
## .AES_18 0.395 0.019 20.400 0.000 0.395 0.561
## .STAI_1 0.247 0.013 19.688 0.000 0.247 0.364
## .STAI_3 0.261 0.013 19.366 0.000 0.261 0.314
## .STAI_4 0.598 0.029 20.547 0.000 0.598 0.631
## .STAI_5 0.318 0.016 19.785 0.000 0.318 0.382
## .STAI_8 0.376 0.019 20.051 0.000 0.376 0.443
## .STAI_10 0.227 0.012 19.150 0.000 0.227 0.287
## .STAI_12 0.516 0.025 20.244 0.000 0.516 0.501
## .STAI_13 0.292 0.015 19.638 0.000 0.292 0.355
## .STAI_15 0.317 0.016 19.884 0.000 0.317 0.402
## .STAI_16 0.238 0.012 19.220 0.000 0.238 0.295
## .STAI_19 0.413 0.020 20.415 0.000 0.413 0.567
## .STAI_20 0.494 0.024 20.492 0.000 0.494 0.603
## .OCI_2 1.186 0.057 20.824 0.000 1.186 0.896
## .OCI_3 0.983 0.047 20.839 0.000 0.983 0.905
## .OCI_4 0.901 0.043 20.853 0.000 0.901 0.914
## .OCI_11 0.772 0.037 20.886 0.000 0.772 0.935
## .OCI_12 1.150 0.056 20.709 0.000 1.150 0.831
## .OCI_16 0.715 0.034 20.858 0.000 0.715 0.917
## .EAT_1 1.099 0.057 19.336 0.000 1.099 0.445
## .EAT_3 0.703 0.037 19.056 0.000 0.703 0.407
## .EAT_4 0.823 0.042 19.729 0.000 0.823 0.513
## .EAT_10 0.502 0.028 18.131 0.000 0.502 0.317
## .EAT_11 0.648 0.037 17.662 0.000 0.648 0.285
## .EAT_12 1.561 0.077 20.364 0.000 1.561 0.682
## .EAT_14 0.712 0.038 18.595 0.000 0.712 0.356
## .EAT_18 0.577 0.031 18.444 0.000 0.577 0.343
## .EAT_21 0.686 0.037 18.567 0.000 0.686 0.354
## .EAT_23 0.962 0.048 19.897 0.000 0.962 0.549
## .LSAS_2 0.356 0.018 20.020 0.000 0.356 0.505
## .LSAS_6 0.582 0.029 20.045 0.000 0.582 0.511
## .LSAS_7 0.518 0.026 20.225 0.000 0.518 0.564
## .LSAS_8 0.431 0.022 19.995 0.000 0.431 0.498
## .LSAS_9 0.464 0.023 20.165 0.000 0.464 0.546
## .LSAS_10 0.324 0.017 19.552 0.000 0.324 0.406
## .LSAS_11 0.178 0.010 17.725 0.000 0.178 0.231
## .LSAS_12 0.240 0.013 18.321 0.000 0.240 0.269
## .LSAS_15 0.387 0.020 19.490 0.000 0.387 0.396
## .LSAS_16 0.405 0.021 19.439 0.000 0.405 0.388
## .LSAS_18 0.372 0.019 19.811 0.000 0.372 0.455
## .LSAS_19 0.356 0.018 19.725 0.000 0.356 0.438
## .LSAS_20 0.393 0.020 19.450 0.000 0.393 0.390
## .SPQ_cgntv_prcp 72.759 3.507 20.747 0.000 72.759 0.809
## .SPQ_interprsnl 35.662 1.815 19.645 0.000 35.662 0.423
## Anxiety_Dprssn 0.413 0.034 12.233 0.000 1.000 1.000
## Compulsiv_Bhvr 0.138 0.029 4.771 0.000 1.000 1.000
## Social_Wthdrwl 0.350 0.030 11.840 0.000 1.000 1.0000.6.3.2 Interpretation
## npar fmin chisq
## 109.000 4.865 8563.058
## df pvalue baseline.chisq
## 1322.000 0.000 35483.036
## baseline.df baseline.pvalue cfi
## 1378.000 0.000 0.788
## tli nnfi rfi
## 0.779 0.779 0.748
## nfi pnfi ifi
## 0.759 0.728 0.788
## rni logl unrestricted.logl
## 0.788 -57349.999 -53068.470
## aic bic ntotal
## 114917.998 115439.009 880.000
## bic2 rmsea rmsea.ci.lower
## 115092.849 0.079 0.077
## rmsea.ci.upper rmsea.ci.level rmsea.pvalue
## 0.080 0.900 0.000
## rmsea.close.h0 rmsea.notclose.pvalue rmsea.notclose.h0
## 0.050 0.128 0.080
## rmr rmr_nomean srmr
## 0.469 0.469 0.089
## srmr_bentler srmr_bentler_nomean crmr
## 0.089 0.089 0.091
## crmr_nomean srmr_mplus srmr_mplus_nomean
## 0.091 0.089 0.089
## cn_05 cn_01 gfi
## 145.665 149.452 0.679
## agfi pgfi mfi
## 0.652 0.627 0.016
## ecvi
## 9.978## lhs op rhs mi epc
## 1531 LSAS_8 ~~ LSAS_9 416.445 0.322
## 1561 LSAS_11 ~~ LSAS_12 359.064 0.160
## 1584 LSAS_16 ~~ LSAS_20 338.302 0.269
## 1552 LSAS_10 ~~ LSAS_11 212.187 0.136
## 607 AES_17 ~~ AES_18 196.439 0.204
## 117 Anxiety_Depression =~ OCI_12 191.974 0.871
## 821 STAI_5 ~~ STAI_15 183.881 0.154
## 1516 LSAS_6 ~~ LSAS_20 173.704 0.227
## 271 SDS_11 ~~ SDS_12 154.657 0.246
## 1132 OCI_2 ~~ OCI_3 148.920 0.447
## 897 STAI_10 ~~ STAI_16 133.792 0.100
## 1193 OCI_4 ~~ OCI_16 132.836 0.314
## 1513 LSAS_6 ~~ LSAS_16 129.565 0.199
## 1134 OCI_2 ~~ OCI_11 123.159 0.360
## 1162 OCI_3 ~~ OCI_4 121.856 0.352
## 179 Compulsive_Behavior =~ SPQ_cognitive_perceptual 121.802 9.478
## 1566 LSAS_11 ~~ LSAS_20 121.141 -0.113
## 1135 OCI_2 ~~ OCI_12 112.145 0.421
## 1444 EAT_18 ~~ EAT_21 112.004 0.262
## 1219 OCI_11 ~~ OCI_12 111.030 0.338
## 197 Social_Withdrawal =~ STAI_12 110.434 0.622
## 1133 OCI_2 ~~ OCI_4 107.791 0.364
## 1493 LSAS_2 ~~ LSAS_7 104.989 0.155
## 143 Anxiety_Depression =~ SPQ_interpersonal 99.727 4.581
## 326 SDS_12 ~~ SDS_20 87.233 0.153
## 1573 LSAS_12 ~~ LSAS_20 85.029 -0.108
## 932 STAI_12 ~~ STAI_15 82.692 0.130
## 817 STAI_5 ~~ STAI_8 81.545 0.111
## 207 Social_Withdrawal =~ OCI_12 81.540 0.607
## 1563 LSAS_11 ~~ LSAS_16 78.016 -0.092
## 1510 LSAS_6 ~~ LSAS_11 77.099 -0.107
## 1191 OCI_4 ~~ OCI_11 75.289 0.245
## 1512 LSAS_6 ~~ LSAS_15 72.864 0.146
## 1407 EAT_12 ~~ EAT_14 70.478 0.323
## 1163 OCI_3 ~~ OCI_11 70.131 0.247
## 694 STAI_1 ~~ STAI_3 69.941 0.078
## 1388 EAT_11 ~~ EAT_14 69.310 0.229
## 862 STAI_8 ~~ STAI_20 64.753 0.121
## 273 SDS_11 ~~ SDS_16 64.284 0.149
## 1302 EAT_1 ~~ EAT_14 62.686 0.266
## 1321 EAT_3 ~~ EAT_4 62.310 0.221
## 1220 OCI_11 ~~ OCI_16 62.014 0.198
## 1570 LSAS_12 ~~ LSAS_16 59.446 -0.092
## 142 Anxiety_Depression =~ SPQ_cognitive_perceptual 57.962 4.839
## 1325 EAT_3 ~~ EAT_14 57.249 -0.205
## 698 STAI_1 ~~ STAI_10 57.100 0.066
## 1130 STAI_20 ~~ SPQ_cognitive_perceptual 54.931 1.523
## 1192 OCI_4 ~~ OCI_12 54.925 0.257
## 968 STAI_13 ~~ STAI_16 52.762 0.070
## 1270 OCI_12 ~~ SPQ_cognitive_perceptual 52.556 2.261
## 1164 OCI_3 ~~ OCI_12 52.266 0.262
## 203 Social_Withdrawal =~ OCI_2 52.030 0.491
## 1509 LSAS_6 ~~ LSAS_10 51.005 -0.111
## 819 STAI_5 ~~ STAI_12 50.445 0.102
## 1576 LSAS_15 ~~ LSAS_16 50.438 0.103
## 1327 EAT_3 ~~ EAT_21 49.627 0.188
## 1300 EAT_1 ~~ EAT_11 48.061 0.229
## 1582 LSAS_16 ~~ LSAS_18 46.828 0.096
## 1511 LSAS_6 ~~ LSAS_12 44.922 -0.093
## 1160 OCI_2 ~~ SPQ_cognitive_perceptual 44.380 2.104
## 323 SDS_12 ~~ SDS_16 44.329 0.117
## 113 Anxiety_Depression =~ OCI_2 42.921 0.417
## 1136 OCI_2 ~~ OCI_16 42.794 0.204
## 859 STAI_8 ~~ STAI_15 42.428 0.080
## 1558 LSAS_10 ~~ LSAS_20 42.339 -0.085
## 1534 LSAS_8 ~~ LSAS_12 42.106 -0.078
## 1217 OCI_4 ~~ SPQ_cognitive_perceptual 41.993 1.782
## 469 SDS_17 ~~ SDS_18 41.102 0.104
## 332 SDS_12 ~~ STAI_5 40.669 -0.093
## 1225 OCI_11 ~~ EAT_11 39.712 -0.164
## 1105 STAI_20 ~~ OCI_12 39.650 0.163
## 1533 LSAS_8 ~~ LSAS_11 39.643 -0.066
## 1347 EAT_4 ~~ EAT_14 39.564 -0.180
## 1165 OCI_3 ~~ OCI_16 39.055 0.178
## 1555 LSAS_10 ~~ LSAS_16 38.049 -0.082
## 431 SDS_16 ~~ STAI_10 38.023 -0.073
## 124 Anxiety_Depression =~ EAT_12 37.907 -0.455
## 1391 EAT_11 ~~ EAT_23 37.673 0.186
## 1410 EAT_12 ~~ EAT_23 37.540 0.264
## 159 Compulsive_Behavior =~ STAI_10 37.128 -0.311
## 1295 OCI_16 ~~ SPQ_cognitive_perceptual 36.906 1.488
## 1530 LSAS_7 ~~ SPQ_interpersonal 36.480 0.924
## 165 Compulsive_Behavior =~ STAI_20 36.314 0.438
## 1141 OCI_2 ~~ EAT_11 36.006 -0.194
## 894 STAI_10 ~~ STAI_12 32.916 -0.071
## 373 SDS_14 ~~ SDS_17 32.724 0.081
## 244 SDS_1 ~~ OCI_12 32.455 0.131
## 1189 OCI_3 ~~ SPQ_cognitive_perceptual 31.630 1.616
## 1326 EAT_3 ~~ EAT_18 31.613 0.138
## 1244 OCI_11 ~~ SPQ_cognitive_perceptual 31.161 1.421
## 1554 LSAS_10 ~~ LSAS_15 29.758 -0.071
## 572 SDS_20 ~~ STAI_15 29.033 -0.069
## 523 SDS_18 ~~ STAI_8 28.594 -0.089
## 567 SDS_20 ~~ STAI_5 28.438 -0.068
## 892 STAI_8 ~~ SPQ_cognitive_perceptual 28.130 0.961
## 736 STAI_3 ~~ STAI_4 28.077 -0.074
## 276 SDS_11 ~~ SDS_20 27.134 0.090
## 1146 OCI_2 ~~ EAT_23 27.074 -0.193
## 374 SDS_14 ~~ SDS_18 25.559 0.092
## 815 STAI_4 ~~ SPQ_cognitive_perceptual 25.344 1.137
## 435 SDS_16 ~~ STAI_16 25.155 -0.060
## 516 SDS_18 ~~ SDS_20 25.112 0.087
## 1544 LSAS_9 ~~ LSAS_12 24.294 -0.061
## 1501 LSAS_2 ~~ LSAS_18 23.836 -0.063
## 1069 STAI_19 ~~ STAI_20 23.811 0.076
## 660 AES_18 ~~ STAI_16 23.735 -0.053
## 1303 EAT_1 ~~ EAT_18 23.551 -0.147
## 389 SDS_14 ~~ STAI_20 23.477 -0.079
## 1004 STAI_15 ~~ STAI_20 23.301 0.067
## 745 STAI_3 ~~ STAI_20 22.927 -0.061
## 570 SDS_20 ~~ STAI_12 22.599 -0.077
## 1304 EAT_1 ~~ EAT_21 22.548 -0.157
## 214 Social_Withdrawal =~ EAT_12 22.433 -0.374
## 1426 EAT_14 ~~ EAT_18 22.248 -0.119
## 896 STAI_10 ~~ STAI_15 22.195 -0.046
## 1344 EAT_4 ~~ EAT_10 21.793 0.114
## 1389 EAT_11 ~~ EAT_18 21.774 -0.116
## 1580 LSAS_15 ~~ SPQ_cognitive_perceptual 21.687 -0.870
## 702 STAI_1 ~~ STAI_16 21.647 0.041
## 1101 STAI_20 ~~ OCI_2 21.565 0.122
## 1596 SPQ_cognitive_perceptual ~~ SPQ_interpersonal 21.545 8.290
## 322 SDS_12 ~~ SDS_14 21.520 0.080
## 1553 LSAS_10 ~~ LSAS_12 21.199 0.049
## 530 SDS_18 ~~ STAI_20 21.050 -0.086
## 128 Anxiety_Depression =~ EAT_23 20.921 -0.268
## 386 SDS_14 ~~ STAI_15 20.895 -0.061
## 204 Social_Withdrawal =~ OCI_3 20.863 0.283
## 200 Social_Withdrawal =~ STAI_16 20.662 -0.188
## 1198 OCI_4 ~~ EAT_11 20.543 -0.128
## 337 SDS_12 ~~ STAI_15 20.531 -0.066
## 1515 LSAS_6 ~~ LSAS_19 20.344 -0.073
## 282 SDS_11 ~~ STAI_5 19.860 -0.069
## 649 AES_17 ~~ SPQ_cognitive_perceptual 19.817 -0.872
## 336 SDS_12 ~~ STAI_13 19.699 -0.062
## 196 Social_Withdrawal =~ STAI_10 19.558 -0.179
## 232 SDS_1 ~~ STAI_8 19.083 0.059
## 206 Social_Withdrawal =~ OCI_11 18.987 0.239
## 1551 LSAS_9 ~~ SPQ_interpersonal 18.951 -0.632
## 1541 LSAS_8 ~~ SPQ_interpersonal 18.949 -0.612
## 156 Compulsive_Behavior =~ STAI_4 18.904 0.347
## 160 Compulsive_Behavior =~ STAI_12 18.893 0.325
## 158 Compulsive_Behavior =~ STAI_8 18.801 0.278
## 738 STAI_3 ~~ STAI_8 18.639 -0.049
## 696 STAI_1 ~~ STAI_5 18.599 -0.044
## 239 SDS_1 ~~ STAI_20 18.581 0.066
## 424 SDS_16 ~~ AES_17 18.500 0.069
## 962 STAI_12 ~~ LSAS_18 18.485 0.066
## 384 SDS_14 ~~ STAI_12 18.397 -0.072
## 739 STAI_3 ~~ STAI_10 18.199 0.039
## 1585 LSAS_16 ~~ SPQ_cognitive_perceptual 18.090 -0.814
## 617 AES_17 ~~ STAI_16 17.987 -0.049
## 1408 EAT_12 ~~ EAT_18 17.935 -0.148
## 218 Social_Withdrawal =~ EAT_23 17.806 -0.265
## 1251 OCI_12 ~~ EAT_11 17.773 -0.135
## 1104 STAI_20 ~~ OCI_11 17.663 0.089
## 421 SDS_16 ~~ SDS_17 17.578 0.061
## 1526 LSAS_7 ~~ LSAS_18 17.328 -0.065
## 1167 OCI_3 ~~ EAT_3 16.897 -0.121
## 692 AES_18 ~~ SPQ_cognitive_perceptual 16.891 -0.757
## 780 STAI_4 ~~ STAI_12 16.880 0.079
## 527 SDS_18 ~~ STAI_15 16.820 -0.063
## 933 STAI_12 ~~ STAI_16 16.651 -0.051
## 1271 OCI_12 ~~ SPQ_interpersonal 16.526 0.911
## 1565 LSAS_11 ~~ LSAS_19 16.495 0.039
## 1345 EAT_4 ~~ EAT_11 16.466 -0.114
## 291 SDS_11 ~~ OCI_2 16.386 0.117
## 205 Social_Withdrawal =~ OCI_4 16.356 0.240
## 930 STAI_10 ~~ SPQ_interpersonal 16.079 0.415
## 965 STAI_12 ~~ SPQ_cognitive_perceptual 16.070 -0.846
## 162 Compulsive_Behavior =~ STAI_15 16.049 0.237
## 704 STAI_1 ~~ STAI_20 15.663 -0.049
## 1324 EAT_3 ~~ EAT_12 15.646 -0.149
## 1539 LSAS_8 ~~ LSAS_20 15.582 0.059
## 471 SDS_17 ~~ AES_17 15.466 0.055
## 697 STAI_1 ~~ STAI_8 15.453 -0.043
## 613 AES_17 ~~ STAI_10 15.370 -0.045
## 1246 OCI_12 ~~ OCI_16 15.341 0.121
## 824 STAI_5 ~~ STAI_20 15.179 0.054
## 398 SDS_14 ~~ EAT_4 14.910 -0.083
## 1002 STAI_15 ~~ STAI_16 14.891 -0.039
## 388 SDS_14 ~~ STAI_19 14.874 -0.058
## 199 Social_Withdrawal =~ STAI_15 14.818 0.181
## 1517 LSAS_6 ~~ SPQ_cognitive_perceptual 14.648 -0.865
## 234 SDS_1 ~~ STAI_12 14.524 -0.060
## 1595 LSAS_20 ~~ SPQ_interpersonal 14.515 -0.520
## 788 STAI_4 ~~ OCI_4 14.410 0.095
## 880 STAI_8 ~~ LSAS_6 14.384 -0.063
## 240 SDS_1 ~~ OCI_2 14.214 0.088
## 775 STAI_3 ~~ SPQ_cognitive_perceptual 14.155 -0.577
## 427 SDS_16 ~~ STAI_3 14.135 -0.047
## 280 SDS_11 ~~ STAI_3 14.076 -0.053
## 147 Compulsive_Behavior =~ SDS_14 13.998 -0.261
## 1202 OCI_4 ~~ EAT_21 13.940 -0.106
## 478 SDS_17 ~~ STAI_10 13.808 -0.039
## 1587 LSAS_18 ~~ LSAS_19 13.785 0.049
## 863 STAI_8 ~~ OCI_2 13.743 0.086
## 381 SDS_14 ~~ STAI_5 13.680 -0.050
## 382 SDS_14 ~~ STAI_8 13.624 -0.053
## 150 Compulsive_Behavior =~ SDS_18 13.413 -0.294
## 1590 LSAS_18 ~~ SPQ_interpersonal 13.306 -0.479
## 383 SDS_14 ~~ STAI_10 13.251 0.042
## 658 AES_18 ~~ STAI_13 13.238 -0.044
## 136 Anxiety_Depression =~ LSAS_12 13.215 -0.142
## 181 Social_Withdrawal =~ SDS_1 13.161 -0.186
## 961 STAI_12 ~~ LSAS_16 13.054 0.059
## 425 SDS_16 ~~ AES_18 13.013 0.054
## 1521 LSAS_7 ~~ LSAS_10 12.790 -0.052
## 1255 OCI_12 ~~ EAT_21 12.743 -0.115
## 338 SDS_12 ~~ STAI_16 12.684 -0.046
## 645 AES_17 ~~ LSAS_16 12.642 0.054
## 746 STAI_3 ~~ OCI_2 12.591 -0.069
## 525 SDS_18 ~~ STAI_12 12.523 -0.069
## 114 Anxiety_Depression =~ OCI_3 12.447 0.204
## 1579 LSAS_15 ~~ LSAS_20 12.384 0.050
## 1578 LSAS_15 ~~ LSAS_19 12.351 -0.047
## 1222 OCI_11 ~~ EAT_3 12.340 -0.092
## 330 SDS_12 ~~ STAI_3 12.336 -0.047
## 741 STAI_3 ~~ STAI_13 12.312 0.035
## 320 SDS_11 ~~ SPQ_cognitive_perceptual 12.276 0.797
## 269 SDS_1 ~~ SPQ_cognitive_perceptual 12.218 0.640
## 1586 LSAS_16 ~~ SPQ_interpersonal 12.117 -0.482
## 787 STAI_4 ~~ OCI_3 12.059 0.091
## 482 SDS_17 ~~ STAI_16 12.022 -0.037
## 328 SDS_12 ~~ AES_18 12.017 0.055
## 818 STAI_5 ~~ STAI_10 11.981 -0.034
## 565 SDS_20 ~~ STAI_3 11.931 -0.041
## 1138 OCI_2 ~~ EAT_3 11.909 -0.112
## 674 AES_18 ~~ EAT_12 11.820 -0.094
## 743 STAI_3 ~~ STAI_16 11.807 0.032
## 769 STAI_3 ~~ LSAS_12 11.773 -0.032
## 335 SDS_12 ~~ STAI_12 11.754 -0.063
## 1276 OCI_16 ~~ EAT_11 11.752 -0.086
## 548 SDS_18 ~~ LSAS_6 11.642 0.070
## 539 SDS_18 ~~ EAT_4 11.537 -0.084
## 1594 LSAS_20 ~~ SPQ_cognitive_perceptual 11.428 -0.637
## 371 SDS_12 ~~ SPQ_interpersonal 11.383 -0.521
## 969 STAI_13 ~~ STAI_19 11.378 0.041
## 518 SDS_18 ~~ AES_18 11.370 0.057
## 229 SDS_1 ~~ STAI_3 11.321 -0.038
## 287 SDS_11 ~~ STAI_15 11.191 -0.051
## 1230 OCI_11 ~~ EAT_23 11.125 -0.100
## 549 SDS_18 ~~ LSAS_7 11.109 0.065
## 472 SDS_17 ~~ AES_18 11.026 0.044
## 619 AES_17 ~~ STAI_20 11.007 -0.054
## 1588 LSAS_18 ~~ LSAS_20 10.976 0.046
## 789 STAI_4 ~~ OCI_11 10.828 0.076
## 1522 LSAS_7 ~~ LSAS_11 10.748 -0.038
## 1195 OCI_4 ~~ EAT_3 10.682 -0.092
## 429 SDS_16 ~~ STAI_5 10.621 -0.045
## 168 Compulsive_Behavior =~ LSAS_7 10.614 -0.239
## 856 STAI_8 ~~ STAI_10 10.602 -0.035
## 868 STAI_8 ~~ OCI_16 10.479 0.058
## 135 Anxiety_Depression =~ LSAS_11 10.376 -0.111
## 960 STAI_12 ~~ LSAS_15 10.348 0.051
## 1267 OCI_12 ~~ LSAS_18 10.266 -0.073
## 1273 OCI_16 ~~ EAT_3 10.213 -0.080
## 663 AES_18 ~~ OCI_2 10.212 -0.075
## 1427 EAT_14 ~~ EAT_21 10.161 -0.087
## 153 Compulsive_Behavior =~ AES_18 10.158 -0.208
## 285 SDS_11 ~~ STAI_12 10.129 -0.062
## 857 STAI_8 ~~ STAI_12 10.127 0.049
## 1036 STAI_16 ~~ STAI_19 10.120 0.036
## 670 AES_18 ~~ EAT_3 10.098 0.060
## 1103 STAI_20 ~~ OCI_4 10.043 0.072
## 137 Anxiety_Depression =~ LSAS_15 10.003 -0.152
## 524 SDS_18 ~~ STAI_10 9.999 0.042
## 1170 OCI_3 ~~ EAT_11 9.960 -0.093
## 217 Social_Withdrawal =~ EAT_21 9.903 -0.173
## 1348 EAT_4 ~~ EAT_18 9.878 0.081
## 860 STAI_8 ~~ STAI_16 9.815 -0.034
## 122 Anxiety_Depression =~ EAT_10 9.712 0.139
## 1122 STAI_20 ~~ LSAS_10 9.622 0.044
## 1298 EAT_1 ~~ EAT_4 9.532 -0.107
## 1084 STAI_19 ~~ EAT_21 9.510 -0.059
## 1350 EAT_4 ~~ EAT_23 9.505 -0.098
## 426 SDS_16 ~~ STAI_1 9.474 -0.037
## 1542 LSAS_9 ~~ LSAS_10 9.397 0.043
## 592 SDS_20 ~~ LSAS_2 9.235 0.041
## 202 Social_Withdrawal =~ STAI_20 9.221 0.175
## 1538 LSAS_8 ~~ LSAS_19 9.196 -0.043
## 748 STAI_3 ~~ OCI_4 9.182 -0.052
## 1265 OCI_12 ~~ LSAS_15 9.076 -0.071
## 662 AES_18 ~~ STAI_20 9.065 -0.046
## 522 SDS_18 ~~ STAI_5 9.035 -0.046
## 1266 OCI_12 ~~ LSAS_16 9.014 -0.072
## 192 Social_Withdrawal =~ STAI_3 9.005 -0.130
## 691 AES_18 ~~ LSAS_20 8.990 0.042
## 1099 STAI_19 ~~ SPQ_cognitive_perceptual 8.814 0.559
## 665 AES_18 ~~ OCI_4 8.807 -0.061
## 473 SDS_17 ~~ STAI_1 8.750 -0.032
## 464 SDS_16 ~~ LSAS_18 8.742 0.044
## 235 SDS_1 ~~ STAI_13 8.725 -0.035
## 1346 EAT_4 ~~ EAT_12 8.628 -0.118
## 163 Compulsive_Behavior =~ STAI_16 8.583 -0.153
## 484 SDS_17 ~~ STAI_20 8.581 -0.043
## 1496 LSAS_2 ~~ LSAS_10 8.566 -0.036
## 1525 LSAS_7 ~~ LSAS_16 8.534 -0.048
## 1499 LSAS_2 ~~ LSAS_15 8.509 -0.039
## 771 STAI_3 ~~ LSAS_16 8.381 0.034
## 208 Social_Withdrawal =~ OCI_16 8.342 0.153
## 1581 LSAS_15 ~~ SPQ_interpersonal 8.340 0.391
## 559 SDS_18 ~~ LSAS_20 8.305 0.050
## 768 STAI_3 ~~ LSAS_11 8.294 -0.024
## 116 Anxiety_Depression =~ OCI_11 8.275 0.147
## 115 Anxiety_Depression =~ OCI_4 8.273 0.159
## 816 STAI_4 ~~ SPQ_interpersonal 8.195 0.464
## 853 STAI_5 ~~ LSAS_20 8.188 -0.036
## 884 STAI_8 ~~ LSAS_10 8.140 0.035
## 423 SDS_16 ~~ SDS_20 8.135 0.044
## 1527 LSAS_7 ~~ LSAS_19 8.128 -0.044
## 264 SDS_1 ~~ LSAS_15 8.034 -0.039
## 1359 EAT_4 ~~ LSAS_15 8.028 -0.057
## 747 STAI_3 ~~ OCI_3 8.020 -0.050
## 331 SDS_12 ~~ STAI_4 8.014 -0.056
## 557 SDS_18 ~~ LSAS_18 7.988 -0.047
## 1498 LSAS_2 ~~ LSAS_12 7.952 0.031
## 1442 EAT_14 ~~ SPQ_cognitive_perceptual 7.922 0.726
## 1390 EAT_11 ~~ EAT_21 7.920 -0.076
## 785 STAI_4 ~~ STAI_20 7.905 0.053
## 1297 EAT_1 ~~ EAT_3 7.824 -0.092
## 945 STAI_12 ~~ EAT_10 7.754 0.052
## 935 STAI_12 ~~ STAI_20 7.711 0.049
## 1543 LSAS_9 ~~ LSAS_11 7.700 -0.030
## 390 SDS_14 ~~ OCI_2 7.696 -0.070
## 169 Compulsive_Behavior =~ LSAS_8 7.677 0.187
## 145 Compulsive_Behavior =~ SDS_11 7.622 0.222
## 1102 STAI_20 ~~ OCI_3 7.622 0.066
## 1262 OCI_12 ~~ LSAS_10 7.617 0.059
## 289 SDS_11 ~~ STAI_19 7.560 0.048
## 1387 EAT_11 ~~ EAT_12 7.476 0.103
## 1190 OCI_3 ~~ SPQ_interpersonal 7.456 0.564
## 506 SDS_17 ~~ LSAS_10 7.428 0.033
## 725 STAI_1 ~~ LSAS_9 7.426 -0.033
## 883 STAI_8 ~~ LSAS_9 7.376 0.040
## 127 Anxiety_Depression =~ EAT_21 7.359 -0.139
## 302 SDS_11 ~~ EAT_12 7.325 0.091
## 243 SDS_1 ~~ OCI_11 7.257 0.051
## 357 SDS_12 ~~ LSAS_2 7.234 0.041
## 1505 LSAS_2 ~~ SPQ_interpersonal 7.156 0.342
## 653 AES_18 ~~ STAI_4 7.037 -0.045
## 170 Compulsive_Behavior =~ LSAS_9 7.031 0.185
## 212 Social_Withdrawal =~ EAT_10 6.944 0.125
## 377 SDS_14 ~~ AES_18 6.935 0.039
## 545 SDS_18 ~~ EAT_21 6.919 0.061
## 735 STAI_1 ~~ SPQ_interpersonal 6.911 0.280
## 1316 EAT_1 ~~ LSAS_18 6.888 0.060
## 1257 OCI_12 ~~ LSAS_2 6.877 0.058
## 808 STAI_4 ~~ LSAS_11 6.851 0.031
## 174 Compulsive_Behavior =~ LSAS_15 6.761 -0.168
## 375 SDS_14 ~~ SDS_20 6.751 0.039
## 624 AES_17 ~~ OCI_12 6.683 -0.064
## 1506 LSAS_6 ~~ LSAS_7 6.672 0.050
## 778 STAI_4 ~~ STAI_8 6.655 0.043
## 1404 EAT_11 ~~ LSAS_20 6.630 0.049
## 385 SDS_14 ~~ STAI_13 6.523 -0.033
## 1406 EAT_11 ~~ SPQ_interpersonal 6.485 -0.461
## 477 SDS_17 ~~ STAI_8 6.481 -0.033
## 311 SDS_11 ~~ LSAS_9 6.475 0.047
## 1545 LSAS_9 ~~ LSAS_15 6.453 -0.039
## 279 SDS_11 ~~ STAI_1 6.430 -0.035
## 1236 OCI_11 ~~ LSAS_10 6.408 0.044
## 1051 STAI_16 ~~ EAT_18 6.393 -0.035
## 1540 LSAS_8 ~~ SPQ_cognitive_perceptual 6.361 0.491
## 1269 OCI_12 ~~ LSAS_20 6.359 -0.060
## 615 AES_17 ~~ STAI_13 6.353 -0.032
## 1386 EAT_10 ~~ SPQ_interpersonal 6.322 0.396
## 763 STAI_3 ~~ LSAS_6 6.187 0.035
## 1243 OCI_11 ~~ LSAS_20 6.155 -0.048
## 1371 EAT_10 ~~ EAT_23 6.135 -0.065
## 1100 STAI_19 ~~ SPQ_interpersonal 6.129 -0.335
## 888 STAI_8 ~~ LSAS_16 6.126 -0.034
## 468 SDS_16 ~~ SPQ_interpersonal 6.118 -0.359
## 1362 EAT_4 ~~ LSAS_19 6.061 0.048
## 1241 OCI_11 ~~ LSAS_18 6.037 -0.046
## 1059 STAI_16 ~~ LSAS_10 6.031 -0.025
## 1384 EAT_10 ~~ LSAS_20 6.013 -0.041
## 324 SDS_12 ~~ SDS_17 5.978 0.038
## 992 STAI_13 ~~ LSAS_10 5.973 -0.027
## 175 Compulsive_Behavior =~ LSAS_16 5.964 -0.162
## 701 STAI_1 ~~ STAI_15 5.957 -0.025
## 176 Compulsive_Behavior =~ LSAS_18 5.921 0.153
## 846 STAI_5 ~~ LSAS_10 5.914 0.028
## 1050 STAI_16 ~~ EAT_14 5.912 0.037
## 1089 STAI_19 ~~ LSAS_8 5.846 0.036
## 708 STAI_1 ~~ OCI_11 5.767 -0.037
## 294 SDS_11 ~~ OCI_11 5.755 0.056
## 1154 OCI_2 ~~ LSAS_12 5.743 0.046
## 1155 OCI_2 ~~ LSAS_15 5.703 -0.057
## 1535 LSAS_8 ~~ LSAS_15 5.698 -0.035
## 921 STAI_10 ~~ LSAS_10 5.695 -0.024
## 1403 EAT_11 ~~ LSAS_19 5.660 -0.043
## 1145 OCI_2 ~~ EAT_21 5.656 -0.077
## 782 STAI_4 ~~ STAI_15 5.628 0.036
## 1572 LSAS_12 ~~ LSAS_19 5.609 0.026
## 553 SDS_18 ~~ LSAS_11 5.605 -0.029
## 1360 EAT_4 ~~ LSAS_16 5.600 -0.049
## 411 SDS_14 ~~ LSAS_10 5.549 -0.032
## 1218 OCI_4 ~~ SPQ_interpersonal 5.546 0.465
## 855 STAI_5 ~~ SPQ_interpersonal 5.526 0.283
## 867 STAI_8 ~~ OCI_12 5.506 0.054
## 193 Social_Withdrawal =~ STAI_4 5.504 0.148
## 184 Social_Withdrawal =~ SDS_14 5.440 -0.129
## 786 STAI_4 ~~ OCI_2 5.398 0.067
## 1357 EAT_4 ~~ LSAS_11 5.397 0.033
## 1052 STAI_16 ~~ EAT_21 5.372 -0.035
## 152 Compulsive_Behavior =~ AES_17 5.360 -0.160
## 321 SDS_11 ~~ SPQ_interpersonal 5.337 -0.377
## 517 SDS_18 ~~ AES_17 5.336 0.041
## 731 STAI_1 ~~ LSAS_18 5.286 -0.025
## 552 SDS_18 ~~ LSAS_10 5.274 -0.036
## 284 SDS_11 ~~ STAI_10 5.235 -0.030
## 648 AES_17 ~~ LSAS_20 5.223 0.034
## 1323 EAT_3 ~~ EAT_11 5.185 -0.061
## 1020 STAI_15 ~~ EAT_23 5.180 0.045
## 261 SDS_1 ~~ LSAS_10 5.147 0.028
## 750 STAI_3 ~~ OCI_12 5.145 -0.044
## 864 STAI_8 ~~ OCI_3 5.083 0.047
## 656 AES_18 ~~ STAI_10 5.055 -0.024
## 751 STAI_3 ~~ OCI_16 4.995 -0.034
## 1252 OCI_12 ~~ EAT_12 4.981 -0.103
## 1027 STAI_15 ~~ LSAS_11 4.976 0.020
## 221 SDS_1 ~~ SDS_14 4.967 0.033
## 392 SDS_14 ~~ OCI_4 4.959 -0.049
## 705 STAI_1 ~~ OCI_2 4.927 -0.042
## 887 STAI_8 ~~ LSAS_15 4.919 -0.030
## 177 Compulsive_Behavior =~ LSAS_19 4.913 0.137
## 1393 EAT_11 ~~ LSAS_6 4.912 0.051
## 895 STAI_10 ~~ STAI_13 4.864 0.021
## 189 Social_Withdrawal =~ AES_17 4.803 0.120
## 408 SDS_14 ~~ LSAS_7 4.737 0.037
## 749 STAI_3 ~~ OCI_11 4.702 -0.034
## 560 SDS_18 ~~ SPQ_cognitive_perceptual 4.700 -0.492
## 646 AES_17 ~~ LSAS_18 4.681 0.031
## 1550 LSAS_9 ~~ SPQ_cognitive_perceptual 4.674 0.435
## 1188 OCI_3 ~~ LSAS_20 4.586 -0.047
## 953 STAI_12 ~~ LSAS_6 4.553 0.041
## 1524 LSAS_7 ~~ LSAS_15 4.551 0.034
## 1094 STAI_19 ~~ LSAS_15 4.538 -0.030
## 830 STAI_5 ~~ OCI_16 4.529 0.035
## 515 SDS_17 ~~ SPQ_interpersonal 4.515 0.271
## 365 SDS_12 ~~ LSAS_15 4.506 -0.034
## 185 Social_Withdrawal =~ SDS_16 4.504 0.120
## 590 SDS_20 ~~ EAT_21 4.486 0.041
## 842 STAI_5 ~~ LSAS_6 4.483 -0.032
## 612 AES_17 ~~ STAI_8 4.475 -0.030
## 964 STAI_12 ~~ LSAS_20 4.467 0.034
## 654 AES_18 ~~ STAI_5 4.453 -0.026
## 664 AES_18 ~~ OCI_3 4.438 -0.045
## 503 SDS_17 ~~ LSAS_7 4.437 -0.032
## 734 STAI_1 ~~ SPQ_cognitive_perceptual 4.427 -0.312
## 806 STAI_4 ~~ LSAS_9 4.421 -0.038
## 777 STAI_4 ~~ STAI_5 4.414 0.032
## 315 SDS_11 ~~ LSAS_15 4.381 -0.036
## 380 SDS_14 ~~ STAI_4 4.340 -0.038
## 1500 LSAS_2 ~~ LSAS_16 4.334 -0.029
## 1152 OCI_2 ~~ LSAS_10 4.327 0.045
## 1074 STAI_19 ~~ OCI_12 4.309 0.049
## 1317 EAT_1 ~~ LSAS_19 4.299 0.047
## 1232 OCI_11 ~~ LSAS_6 4.298 -0.048
## 301 SDS_11 ~~ EAT_11 4.277 -0.048
## 666 AES_18 ~~ OCI_11 4.269 -0.039
## 979 STAI_13 ~~ EAT_4 4.219 0.036
## 800 STAI_4 ~~ EAT_21 4.217 -0.047
## 770 STAI_3 ~~ LSAS_15 4.216 0.024
## 1256 OCI_12 ~~ EAT_23 4.202 -0.075
## 1142 OCI_2 ~~ EAT_12 4.200 -0.096
## 1203 OCI_4 ~~ EAT_23 4.187 -0.066
## 767 STAI_3 ~~ LSAS_10 4.159 -0.021
## 1474 EAT_21 ~~ LSAS_20 4.145 0.039
## 1401 EAT_11 ~~ LSAS_16 4.142 0.039
## 479 SDS_17 ~~ STAI_12 4.138 -0.031
## 822 STAI_5 ~~ STAI_16 4.136 -0.020
## 1368 EAT_10 ~~ EAT_14 4.134 -0.048
## 1125 STAI_20 ~~ LSAS_15 4.114 -0.031
## 1120 STAI_20 ~~ LSAS_8 4.098 0.033
## 148 Compulsive_Behavior =~ SDS_16 4.075 0.144
## 1214 OCI_4 ~~ LSAS_18 4.053 -0.040
## 123 Anxiety_Depression =~ EAT_11 4.048 -0.103
## 1289 OCI_16 ~~ LSAS_12 4.042 0.030
## 1070 STAI_19 ~~ OCI_2 4.022 0.048
## 157 Compulsive_Behavior =~ STAI_5 4.022 0.119
## 1294 OCI_16 ~~ LSAS_20 3.996 -0.037
## 809 STAI_4 ~~ LSAS_12 3.982 0.027
## 1248 OCI_12 ~~ EAT_3 3.979 -0.064
## 1287 OCI_16 ~~ LSAS_10 3.956 0.033
## 1045 STAI_16 ~~ EAT_3 3.955 -0.030
## 1523 LSAS_7 ~~ LSAS_12 3.949 0.026
## 480 SDS_17 ~~ STAI_13 3.944 -0.023
## 1320 EAT_1 ~~ SPQ_interpersonal 3.902 -0.447
## 290 SDS_11 ~~ STAI_20 3.871 0.037
## 1003 STAI_15 ~~ STAI_19 3.868 -0.025
## 288 SDS_11 ~~ STAI_16 3.860 -0.027
## 1072 STAI_19 ~~ OCI_4 3.849 0.041
## 475 SDS_17 ~~ STAI_4 3.834 -0.032
## 699 STAI_1 ~~ STAI_12 3.827 -0.025
## 529 SDS_18 ~~ STAI_19 3.805 -0.034
## 1508 LSAS_6 ~~ LSAS_9 3.714 -0.035
## 1290 OCI_16 ~~ LSAS_15 3.653 -0.035
## 805 STAI_4 ~~ LSAS_8 3.635 -0.034
## 899 STAI_10 ~~ STAI_20 3.627 -0.023
## 334 SDS_12 ~~ STAI_10 3.602 -0.024
## 575 SDS_20 ~~ STAI_20 3.595 -0.030
## 655 AES_18 ~~ STAI_8 3.594 -0.026
## 991 STAI_13 ~~ LSAS_9 3.588 -0.025
## 154 Compulsive_Behavior =~ STAI_1 3.573 -0.099
## 1239 OCI_11 ~~ LSAS_15 3.571 -0.036
## 191 Social_Withdrawal =~ STAI_1 3.571 -0.079
## 726 STAI_1 ~~ LSAS_10 3.567 -0.019
## 1095 STAI_19 ~~ LSAS_16 3.546 -0.027
## 1528 LSAS_7 ~~ LSAS_20 3.535 -0.030
## 1131 STAI_20 ~~ SPQ_interpersonal 3.523 -0.277
## 281 SDS_11 ~~ STAI_4 3.484 -0.039
## 866 STAI_8 ~~ OCI_11 3.479 0.035
## 351 SDS_12 ~~ EAT_11 3.472 -0.041
## 255 SDS_1 ~~ EAT_23 3.465 -0.040
## 1157 OCI_2 ~~ LSAS_18 3.454 -0.043
## 1589 LSAS_18 ~~ SPQ_cognitive_perceptual 3.443 -0.337
## 404 SDS_14 ~~ EAT_21 3.443 0.037
## 372 SDS_14 ~~ SDS_16 3.437 0.030
## 459 SDS_16 ~~ LSAS_10 3.433 0.026
## 1113 STAI_20 ~~ EAT_14 3.433 0.040
## 1247 OCI_12 ~~ EAT_1 3.429 -0.074
## 1184 OCI_3 ~~ LSAS_15 3.428 -0.040
## 958 STAI_12 ~~ LSAS_11 3.427 0.021
## 1340 EAT_3 ~~ LSAS_19 3.425 -0.034
## 1571 LSAS_12 ~~ LSAS_18 3.364 -0.021
## 275 SDS_11 ~~ SDS_18 3.363 -0.038
## 685 AES_18 ~~ LSAS_11 3.361 -0.018
## 1395 EAT_11 ~~ LSAS_8 3.359 0.036
## 1229 OCI_11 ~~ EAT_21 3.342 -0.048
## 773 STAI_3 ~~ LSAS_19 3.334 -0.020
## 412 SDS_14 ~~ LSAS_11 3.328 -0.019
## 839 STAI_5 ~~ EAT_21 3.318 -0.031
## 233 SDS_1 ~~ STAI_10 3.317 0.020
## 146 Compulsive_Behavior =~ SDS_12 3.314 0.139
## 531 SDS_18 ~~ OCI_2 3.307 -0.053
## 891 STAI_8 ~~ LSAS_20 3.304 -0.025
## 740 STAI_3 ~~ STAI_12 3.303 0.024
## 1277 OCI_16 ~~ EAT_12 3.272 -0.066
## 1054 STAI_16 ~~ LSAS_2 3.272 -0.019
## 829 STAI_5 ~~ OCI_12 3.263 0.038
## 1115 STAI_20 ~~ EAT_21 3.255 -0.038
## 438 SDS_16 ~~ OCI_2 3.231 0.046
## 903 STAI_10 ~~ OCI_11 3.208 -0.026
## 603 SDS_20 ~~ LSAS_19 3.203 0.024
## 1491 EAT_23 ~~ SPQ_interpersonal 3.193 -0.373
## 954 STAI_12 ~~ LSAS_7 3.181 -0.032
## 956 STAI_12 ~~ LSAS_9 3.175 -0.030
## 172 Compulsive_Behavior =~ LSAS_11 3.165 -0.082
## 1112 STAI_20 ~~ EAT_12 3.160 0.054
## 448 SDS_16 ~~ EAT_11 3.135 -0.036
## 526 SDS_18 ~~ STAI_13 3.127 -0.026
## 643 AES_17 ~~ LSAS_12 3.127 -0.021
## 1106 STAI_20 ~~ OCI_16 3.123 0.036
## 814 STAI_4 ~~ LSAS_20 3.112 -0.030
## 1194 OCI_4 ~~ EAT_1 3.100 -0.062
## 865 STAI_8 ~~ OCI_4 3.094 0.035
## 1238 OCI_11 ~~ LSAS_12 3.094 0.027
## 1119 STAI_20 ~~ LSAS_7 3.083 -0.031
## 470 SDS_17 ~~ SDS_20 3.056 0.024
## 1392 EAT_11 ~~ LSAS_2 3.033 -0.031
## 1183 OCI_3 ~~ LSAS_12 3.024 0.030
## 310 SDS_11 ~~ LSAS_8 3.005 0.031
## 252 SDS_1 ~~ EAT_14 2.992 0.033
## 1108 STAI_20 ~~ EAT_3 2.987 -0.036
## 434 SDS_16 ~~ STAI_15 2.957 -0.024
## 1283 OCI_16 ~~ LSAS_6 2.953 -0.038
## 309 SDS_11 ~~ LSAS_7 2.949 -0.033
## 1364 EAT_4 ~~ SPQ_cognitive_perceptual 2.942 0.463
## 1196 OCI_4 ~~ EAT_4 2.936 0.051
## 1254 OCI_12 ~~ EAT_18 2.933 -0.051
## 1033 STAI_15 ~~ LSAS_20 2.931 -0.022
## 620 AES_17 ~~ OCI_2 2.931 -0.043
## 1562 LSAS_11 ~~ LSAS_15 2.931 -0.017
## 985 STAI_13 ~~ EAT_21 2.899 -0.028
## 934 STAI_12 ~~ STAI_19 2.896 -0.027
## 190 Social_Withdrawal =~ AES_18 2.880 0.088
## 173 Compulsive_Behavior =~ LSAS_12 2.872 -0.089
## 213 Social_Withdrawal =~ EAT_11 2.866 -0.093
## 370 SDS_12 ~~ SPQ_cognitive_perceptual 2.862 0.364
## 230 SDS_1 ~~ STAI_4 2.849 0.028
## 1159 OCI_2 ~~ LSAS_20 2.849 -0.040
## 628 AES_17 ~~ EAT_4 2.814 0.036
## 791 STAI_4 ~~ OCI_16 2.812 0.037
## 1037 STAI_16 ~~ STAI_20 2.810 -0.021
## 1425 EAT_12 ~~ SPQ_interpersonal 2.809 -0.441
## 1296 OCI_16 ~~ SPQ_interpersonal 2.808 -0.295
## 811 STAI_4 ~~ LSAS_16 2.802 -0.029
## 764 STAI_3 ~~ LSAS_7 2.793 0.022
## 1076 STAI_19 ~~ EAT_1 2.782 0.040
## 1518 LSAS_6 ~~ SPQ_interpersonal 2.776 -0.272
## 1497 LSAS_2 ~~ LSAS_11 2.769 -0.016
## 1370 EAT_10 ~~ EAT_21 2.763 -0.039
## 132 Anxiety_Depression =~ LSAS_8 2.754 0.083
## 781 STAI_4 ~~ STAI_13 2.719 0.024
## 1446 EAT_18 ~~ LSAS_2 2.713 0.027
## 835 STAI_5 ~~ EAT_11 2.709 0.028
## 368 SDS_12 ~~ LSAS_19 2.687 0.025
## 268 SDS_1 ~~ LSAS_20 2.680 -0.023
## 594 SDS_20 ~~ LSAS_7 2.668 0.026
## 1301 EAT_1 ~~ EAT_12 2.661 0.076
## 1216 OCI_4 ~~ LSAS_20 2.658 -0.034
## 1128 STAI_20 ~~ LSAS_19 2.633 -0.024
## 920 STAI_10 ~~ LSAS_9 2.628 -0.019
## 1179 OCI_3 ~~ LSAS_8 2.625 0.036
## 630 AES_17 ~~ EAT_11 2.625 -0.032
## 810 STAI_4 ~~ LSAS_15 2.624 -0.027
## 1405 EAT_11 ~~ SPQ_cognitive_perceptual 2.618 -0.408
## 395 SDS_14 ~~ OCI_16 2.615 -0.032
## 1286 OCI_16 ~~ LSAS_9 2.610 0.032
## 1016 STAI_15 ~~ EAT_12 2.607 -0.040
## 1490 EAT_23 ~~ SPQ_cognitive_perceptual 2.587 -0.467
## 360 SDS_12 ~~ LSAS_8 2.587 0.027
## 993 STAI_13 ~~ LSAS_11 2.564 0.014
## 1385 EAT_10 ~~ SPQ_cognitive_perceptual 2.560 -0.351
## 1398 EAT_11 ~~ LSAS_11 2.559 -0.021
## 690 AES_18 ~~ LSAS_19 2.554 0.021
## 1097 STAI_19 ~~ LSAS_19 2.552 0.022
## 675 AES_18 ~~ EAT_14 2.552 -0.031
## 790 STAI_4 ~~ OCI_12 2.549 0.045
## 1182 OCI_3 ~~ LSAS_11 2.544 0.024
## 138 Anxiety_Depression =~ LSAS_16 2.543 -0.078
## 225 SDS_1 ~~ SDS_20 2.532 0.022
## 1342 EAT_3 ~~ SPQ_cognitive_perceptual 2.524 -0.403
## 871 STAI_8 ~~ EAT_4 2.519 0.031
## 882 STAI_8 ~~ LSAS_8 2.515 0.023
## 1504 LSAS_2 ~~ SPQ_cognitive_perceptual 2.511 0.280
## 627 AES_17 ~~ EAT_3 2.489 0.032
## 1121 STAI_20 ~~ LSAS_9 2.485 0.026
## 488 SDS_17 ~~ OCI_11 2.480 -0.029
## 972 STAI_13 ~~ OCI_3 2.476 -0.029
## 1451 EAT_18 ~~ LSAS_10 2.471 -0.025
## 1353 EAT_4 ~~ LSAS_7 2.459 -0.036
## 558 SDS_18 ~~ LSAS_19 2.444 -0.025
## 639 AES_17 ~~ LSAS_8 2.436 -0.024
## 589 SDS_20 ~~ EAT_18 2.434 0.028
## 486 SDS_17 ~~ OCI_3 2.430 -0.032
## 1470 EAT_21 ~~ LSAS_15 2.430 0.030
## 1367 EAT_10 ~~ EAT_12 2.421 -0.051
## 1520 LSAS_7 ~~ LSAS_9 2.414 -0.027
## 1402 EAT_11 ~~ LSAS_18 2.412 0.029
## 1468 EAT_21 ~~ LSAS_11 2.402 -0.021
## 659 AES_18 ~~ STAI_15 2.400 -0.019
## 946 STAI_12 ~~ EAT_11 2.390 0.033
## 566 SDS_20 ~~ STAI_4 2.378 -0.027
## 329 SDS_12 ~~ STAI_1 2.375 -0.020
## 711 STAI_1 ~~ EAT_1 2.367 -0.029
## 952 STAI_12 ~~ LSAS_2 2.355 -0.023
## 1352 EAT_4 ~~ LSAS_6 2.339 -0.038
## 926 STAI_10 ~~ LSAS_18 2.336 -0.016
## 774 STAI_3 ~~ LSAS_20 2.336 0.018
## 249 SDS_1 ~~ EAT_10 2.329 -0.025
## 394 SDS_14 ~~ OCI_12 2.314 0.038
## 265 SDS_1 ~~ LSAS_16 2.308 -0.021
## 803 STAI_4 ~~ LSAS_6 2.304 -0.031
## 1307 EAT_1 ~~ LSAS_6 2.300 -0.043
## 1281 OCI_16 ~~ EAT_23 2.292 -0.044
## 632 AES_17 ~~ EAT_14 2.290 -0.031
## 1235 OCI_11 ~~ LSAS_9 2.280 0.031
## 568 SDS_20 ~~ STAI_8 2.272 -0.021
## 223 SDS_1 ~~ SDS_17 2.252 -0.020
## 242 SDS_1 ~~ OCI_4 2.250 0.030
## 327 SDS_12 ~~ AES_17 2.237 0.025
## 1429 EAT_14 ~~ LSAS_2 2.224 -0.027
## 1175 OCI_3 ~~ EAT_23 2.214 -0.050
## 355 SDS_12 ~~ EAT_21 2.205 0.033
## 155 Compulsive_Behavior =~ STAI_3 2.203 -0.081
## 1431 EAT_14 ~~ LSAS_7 2.185 -0.033
## 210 Social_Withdrawal =~ EAT_3 2.175 -0.081
## 976 STAI_13 ~~ OCI_16 2.168 -0.023
## 1026 STAI_15 ~~ LSAS_10 2.167 0.017
## 776 STAI_3 ~~ SPQ_interpersonal 2.163 0.162
## 587 SDS_20 ~~ EAT_12 2.162 -0.041
## 194 Social_Withdrawal =~ STAI_5 2.161 0.069
## 1109 STAI_20 ~~ EAT_4 2.155 0.033
## 1280 OCI_16 ~~ EAT_21 2.154 -0.037
## 1381 EAT_10 ~~ LSAS_16 2.154 -0.025
## 840 STAI_5 ~~ EAT_23 2.153 0.029
## 900 STAI_10 ~~ OCI_2 2.143 -0.027
## 419 SDS_14 ~~ SPQ_cognitive_perceptual 2.123 -0.287
## 1139 OCI_2 ~~ EAT_4 2.111 0.050
## 499 SDS_17 ~~ EAT_21 2.106 0.026
## 556 SDS_18 ~~ LSAS_16 2.103 0.025
## 250 SDS_1 ~~ EAT_11 2.096 -0.027
## 1453 EAT_18 ~~ LSAS_12 2.089 -0.021
## 347 SDS_12 ~~ EAT_1 2.084 0.039
## 1049 STAI_16 ~~ EAT_12 2.068 0.031
## 998 STAI_13 ~~ LSAS_19 2.065 0.017
## 130 Anxiety_Depression =~ LSAS_6 2.062 -0.083
## 1373 EAT_10 ~~ LSAS_6 2.028 -0.028
## 1546 LSAS_9 ~~ LSAS_16 2.016 -0.022
## 1583 LSAS_16 ~~ LSAS_19 2.009 -0.020
## 436 SDS_16 ~~ STAI_19 2.004 0.022
## 1332 EAT_3 ~~ LSAS_8 1.999 0.028
## 1186 OCI_3 ~~ LSAS_18 1.998 -0.030
## 651 AES_18 ~~ STAI_1 1.990 -0.016
## 794 STAI_4 ~~ EAT_4 1.988 0.035
## 476 SDS_17 ~~ STAI_5 1.984 0.017
## 922 STAI_10 ~~ LSAS_11 1.980 -0.011
## 1185 OCI_3 ~~ LSAS_16 1.966 -0.031
## 955 STAI_12 ~~ LSAS_8 1.944 -0.023
## 1231 OCI_11 ~~ LSAS_2 1.942 0.025
## 513 SDS_17 ~~ LSAS_20 1.928 -0.019
## 209 Social_Withdrawal =~ EAT_1 1.927 0.094
## 1503 LSAS_2 ~~ LSAS_20 1.927 -0.019
## 914 STAI_10 ~~ EAT_21 1.918 -0.020
## 1378 EAT_10 ~~ LSAS_11 1.916 0.016
## 1032 STAI_15 ~~ LSAS_19 1.911 -0.017
## 1445 EAT_18 ~~ EAT_23 1.909 -0.038
## 460 SDS_16 ~~ LSAS_11 1.909 -0.015
## 1174 OCI_3 ~~ EAT_21 1.901 -0.041
## 1560 LSAS_10 ~~ SPQ_interpersonal 1.893 -0.170
## 1487 EAT_23 ~~ LSAS_18 1.887 0.029
## 792 STAI_4 ~~ EAT_1 1.882 0.039
## 563 SDS_20 ~~ AES_18 1.878 0.019
## 1469 EAT_21 ~~ LSAS_12 1.866 -0.021
## 316 SDS_11 ~~ LSAS_16 1.864 -0.024
## 667 AES_18 ~~ OCI_12 1.858 -0.032
## 483 SDS_17 ~~ STAI_19 1.853 -0.018
## 1053 STAI_16 ~~ EAT_23 1.842 0.023
## 1153 OCI_2 ~~ LSAS_11 1.836 0.023
## 1085 STAI_19 ~~ EAT_23 1.833 -0.030
## 949 STAI_12 ~~ EAT_18 1.824 -0.027
## 1024 STAI_15 ~~ LSAS_8 1.814 0.018
## 422 SDS_16 ~~ SDS_18 1.813 -0.025
## 569 SDS_20 ~~ STAI_10 1.801 0.015
## 1098 STAI_19 ~~ LSAS_20 1.800 0.019
## 755 STAI_3 ~~ EAT_10 1.800 0.018
## 684 AES_18 ~~ LSAS_10 1.778 0.017
## 916 STAI_10 ~~ LSAS_2 1.778 -0.014
## 167 Compulsive_Behavior =~ LSAS_6 1.766 -0.104
## 898 STAI_10 ~~ STAI_19 1.756 -0.015
## 606 SDS_20 ~~ SPQ_interpersonal 1.748 -0.179
## 359 SDS_12 ~~ LSAS_7 1.744 -0.024
## 1335 EAT_3 ~~ LSAS_11 1.742 -0.018
## 378 SDS_14 ~~ STAI_1 1.735 0.016
## 1519 LSAS_7 ~~ LSAS_8 1.727 0.022
## 1242 OCI_11 ~~ LSAS_19 1.723 0.024
## 219 SDS_1 ~~ SDS_11 1.723 0.022
## 1494 LSAS_2 ~~ LSAS_8 1.715 0.018
## 695 STAI_1 ~~ STAI_4 1.711 -0.018
## 224 SDS_1 ~~ SDS_18 1.711 -0.022
## 571 SDS_20 ~~ STAI_13 1.701 -0.016
## 1479 EAT_23 ~~ LSAS_7 1.699 -0.032
## 1409 EAT_12 ~~ EAT_21 1.694 -0.049
## 504 SDS_17 ~~ LSAS_8 1.692 -0.018
## 406 SDS_14 ~~ LSAS_2 1.688 0.018
## 430 SDS_16 ~~ STAI_8 1.685 0.019
## 1088 STAI_19 ~~ LSAS_7 1.685 -0.021
## 440 SDS_16 ~~ OCI_4 1.683 -0.029
## 149 Compulsive_Behavior =~ SDS_17 1.677 -0.081
## 836 STAI_5 ~~ EAT_12 1.665 -0.032
## 1149 OCI_2 ~~ LSAS_7 1.652 -0.035
## 710 STAI_1 ~~ OCI_16 1.641 -0.019
## 129 Anxiety_Depression =~ LSAS_2 1.640 0.058
## 307 SDS_11 ~~ LSAS_2 1.639 0.021
## 1412 EAT_12 ~~ LSAS_6 1.620 0.042
## 318 SDS_11 ~~ LSAS_19 1.612 0.021
## 608 AES_17 ~~ STAI_1 1.603 -0.015
## 496 SDS_17 ~~ EAT_12 1.600 -0.033
## 1064 STAI_16 ~~ LSAS_18 1.600 -0.014
## 724 STAI_1 ~~ LSAS_8 1.600 -0.015
## 629 AES_17 ~~ EAT_10 1.592 0.022
## 729 STAI_1 ~~ LSAS_15 1.584 0.014
## 1358 EAT_4 ~~ LSAS_12 1.576 0.021
## 452 SDS_16 ~~ EAT_21 1.574 0.026
## 1237 OCI_11 ~~ LSAS_11 1.566 0.017
## 893 STAI_8 ~~ SPQ_interpersonal 1.560 -0.163
## 257 SDS_1 ~~ LSAS_6 1.558 -0.021
## 353 SDS_12 ~~ EAT_14 1.558 0.028
## 1399 EAT_11 ~~ LSAS_12 1.554 -0.019
## 1048 STAI_16 ~~ EAT_11 1.552 0.019
## 1448 EAT_18 ~~ LSAS_7 1.532 0.025
## 520 SDS_18 ~~ STAI_3 1.515 0.017
## 728 STAI_1 ~~ LSAS_12 1.511 0.011
## 990 STAI_13 ~~ LSAS_8 1.510 -0.016
## 1035 STAI_15 ~~ SPQ_interpersonal 1.508 0.147
## 647 AES_17 ~~ LSAS_19 1.502 0.017
## 1532 LSAS_8 ~~ LSAS_10 1.493 0.016
## 709 STAI_1 ~~ OCI_12 1.476 -0.023
## 418 SDS_14 ~~ LSAS_20 1.468 0.018
## 1356 EAT_4 ~~ LSAS_10 1.467 0.022
## 274 SDS_11 ~~ SDS_17 1.455 0.020
## 1529 LSAS_7 ~~ SPQ_cognitive_perceptual 1.449 -0.255
## 970 STAI_13 ~~ STAI_20 1.448 -0.016
## 1341 EAT_3 ~~ LSAS_20 1.444 0.023
## 361 SDS_12 ~~ LSAS_9 1.440 0.021
## 580 SDS_20 ~~ OCI_12 1.433 -0.028
## 927 STAI_10 ~~ LSAS_19 1.430 -0.012
## 432 SDS_16 ~~ STAI_12 1.423 0.021
## 551 SDS_18 ~~ LSAS_9 1.420 -0.022
## 166 Compulsive_Behavior =~ LSAS_2 1.414 0.073
## 982 STAI_13 ~~ EAT_12 1.413 0.028
## 416 SDS_14 ~~ LSAS_18 1.412 -0.017
## 1549 LSAS_9 ~~ LSAS_20 1.403 0.018
## 1435 EAT_14 ~~ LSAS_11 1.403 0.016
## 1559 LSAS_10 ~~ SPQ_cognitive_perceptual 1.400 0.202
## 1057 STAI_16 ~~ LSAS_8 1.398 0.014
## 1507 LSAS_6 ~~ LSAS_8 1.395 0.021
## 1424 EAT_12 ~~ SPQ_cognitive_perceptual 1.394 -0.432
## 718 STAI_1 ~~ EAT_18 1.393 0.016
## 1288 OCI_16 ~~ LSAS_11 1.382 0.015
## 638 AES_17 ~~ LSAS_7 1.378 -0.020
## 913 STAI_10 ~~ EAT_18 1.378 -0.016
## 758 STAI_3 ~~ EAT_14 1.329 -0.018
## 602 SDS_20 ~~ LSAS_18 1.329 -0.016
## 1375 EAT_10 ~~ LSAS_8 1.326 -0.020
## 845 STAI_5 ~~ LSAS_9 1.326 0.016
## 941 STAI_12 ~~ OCI_16 1.323 0.024
## 966 STAI_12 ~~ SPQ_interpersonal 1.321 0.174
## 579 SDS_20 ~~ OCI_11 1.313 -0.022
## 614 AES_17 ~~ STAI_12 1.310 0.019
## 1223 OCI_11 ~~ EAT_4 1.309 0.032
## 178 Compulsive_Behavior =~ LSAS_20 1.305 -0.075
## 640 AES_17 ~~ LSAS_9 1.296 0.018
## 164 Compulsive_Behavior =~ STAI_19 1.295 0.076
## 1568 LSAS_11 ~~ SPQ_interpersonal 1.295 0.111
## 1173 OCI_3 ~~ EAT_18 1.290 -0.031
## 841 STAI_5 ~~ LSAS_2 1.286 0.014
## 1090 STAI_19 ~~ LSAS_9 1.286 0.017
## 511 SDS_17 ~~ LSAS_18 1.282 0.015
## 1171 OCI_3 ~~ EAT_12 1.276 -0.048
## 1354 EAT_4 ~~ LSAS_8 1.275 -0.024
## 1383 EAT_10 ~~ LSAS_19 1.272 0.018
## 759 STAI_3 ~~ EAT_18 1.272 0.016
## 1343 EAT_3 ~~ SPQ_interpersonal 1.271 -0.205
## 721 STAI_1 ~~ LSAS_2 1.257 -0.012
## 121 Anxiety_Depression =~ EAT_4 1.255 0.061
## 1093 STAI_19 ~~ LSAS_12 1.247 0.013
## 929 STAI_10 ~~ SPQ_cognitive_perceptual 1.246 -0.161
## 547 SDS_18 ~~ LSAS_2 1.236 0.018
## 783 STAI_4 ~~ STAI_16 1.233 0.015
## 652 AES_18 ~~ STAI_3 1.231 0.013
## 433 SDS_16 ~~ STAI_13 1.228 -0.015
## 1177 OCI_3 ~~ LSAS_6 1.213 -0.029
## 1091 STAI_19 ~~ LSAS_10 1.203 0.014
## 931 STAI_12 ~~ STAI_13 1.203 0.015
## 1068 STAI_16 ~~ SPQ_interpersonal 1.195 0.115
## 561 SDS_18 ~~ SPQ_interpersonal 1.183 0.177
## 719 STAI_1 ~~ EAT_21 1.176 0.016
## 723 STAI_1 ~~ LSAS_7 1.169 0.014
## 1030 STAI_15 ~~ LSAS_16 1.155 -0.014
## 319 SDS_11 ~~ LSAS_20 1.145 -0.018
## 367 SDS_12 ~~ LSAS_18 1.144 0.017
## 1293 OCI_16 ~~ LSAS_19 1.141 0.019
## 848 STAI_5 ~~ LSAS_12 1.141 -0.011
## 928 STAI_10 ~~ LSAS_20 1.135 0.012
## 1249 OCI_12 ~~ EAT_4 1.132 0.036
## 756 STAI_3 ~~ EAT_11 1.127 0.017
## 1379 EAT_10 ~~ LSAS_12 1.124 0.014
## 1339 EAT_3 ~~ LSAS_18 1.123 0.020
## 358 SDS_12 ~~ LSAS_6 1.122 -0.021
## 241 SDS_1 ~~ OCI_3 1.111 0.022
## 1382 EAT_10 ~~ LSAS_18 1.109 0.017
## 975 STAI_13 ~~ OCI_12 1.108 -0.021
## 918 STAI_10 ~~ LSAS_7 1.098 0.013
## 1086 STAI_19 ~~ LSAS_2 1.095 0.014
## 1087 STAI_19 ~~ LSAS_6 1.093 -0.018
## 314 SDS_11 ~~ LSAS_12 1.092 0.014
## 1564 LSAS_11 ~~ LSAS_18 1.090 -0.010
## 379 SDS_14 ~~ STAI_3 1.084 0.013
## 631 AES_17 ~~ EAT_12 1.084 -0.030
## 977 STAI_13 ~~ EAT_1 1.081 0.021
## 1452 EAT_18 ~~ LSAS_11 1.068 -0.013
## 501 SDS_17 ~~ LSAS_2 1.055 -0.013
## 293 SDS_11 ~~ OCI_4 1.054 0.026
## 707 STAI_1 ~~ OCI_4 1.053 -0.017
## 456 SDS_16 ~~ LSAS_7 1.052 -0.018
## 1126 STAI_20 ~~ LSAS_16 1.052 -0.016
## 661 AES_18 ~~ STAI_19 1.043 -0.014
## 688 AES_18 ~~ LSAS_16 1.041 0.014
## 834 STAI_5 ~~ EAT_10 1.037 0.015
## 1363 EAT_4 ~~ LSAS_20 1.037 -0.021
## 827 STAI_5 ~~ OCI_4 1.033 0.019
## 1158 OCI_2 ~~ LSAS_19 1.020 0.023
## 1514 LSAS_6 ~~ LSAS_18 1.015 0.017
## 342 SDS_12 ~~ OCI_3 1.011 -0.025
## 295 SDS_11 ~~ OCI_12 1.011 0.029
## 1096 STAI_19 ~~ LSAS_18 1.011 -0.014
## 904 STAI_10 ~~ OCI_12 1.001 0.018
## 854 STAI_5 ~~ SPQ_cognitive_perceptual 0.996 0.167
## 901 STAI_10 ~~ OCI_3 0.986 0.017
## 139 Anxiety_Depression =~ LSAS_18 0.965 -0.046
## 403 SDS_14 ~~ EAT_18 0.962 0.018
## 546 SDS_18 ~~ EAT_23 0.958 -0.026
## 1044 STAI_16 ~~ EAT_1 0.957 -0.018
## 1365 EAT_4 ~~ SPQ_interpersonal 0.955 0.189
## 609 AES_17 ~~ STAI_3 0.947 -0.012
## 439 SDS_16 ~~ OCI_3 0.946 0.023
## 201 Social_Withdrawal =~ STAI_19 0.943 0.051
## 502 SDS_17 ~~ LSAS_6 0.943 -0.016
## 1495 LSAS_2 ~~ LSAS_9 0.935 -0.014
## 1459 EAT_18 ~~ SPQ_cognitive_perceptual 0.930 0.225
## 1430 EAT_14 ~~ LSAS_6 0.930 0.023
## 1025 STAI_15 ~~ LSAS_9 0.928 0.013
## 420 SDS_14 ~~ SPQ_interpersonal 0.926 0.136
## 1073 STAI_19 ~~ OCI_11 0.925 0.019
## 1034 STAI_15 ~~ SPQ_cognitive_perceptual 0.918 0.160
## 1460 EAT_18 ~~ SPQ_interpersonal 0.916 0.160
## 947 STAI_12 ~~ EAT_12 0.916 0.030
## 1200 OCI_4 ~~ EAT_14 0.913 0.027
## 304 SDS_11 ~~ EAT_18 0.911 0.020
## 823 STAI_5 ~~ STAI_19 0.909 -0.012
## 542 SDS_18 ~~ EAT_12 0.909 -0.032
## 391 SDS_14 ~~ OCI_3 0.907 -0.022
## 465 SDS_16 ~~ LSAS_19 0.899 0.014
## 1197 OCI_4 ~~ EAT_10 0.890 -0.023
## 912 STAI_10 ~~ EAT_14 0.889 -0.014
## 1472 EAT_21 ~~ LSAS_18 0.889 -0.017
## 948 STAI_12 ~~ EAT_14 0.884 -0.021
## 610 AES_17 ~~ STAI_4 0.883 -0.017
## 677 AES_18 ~~ EAT_21 0.880 0.018
## 340 SDS_12 ~~ STAI_20 0.880 -0.017
## 497 SDS_17 ~~ EAT_14 0.879 -0.017
## 807 STAI_4 ~~ LSAS_10 0.876 0.015
## 760 STAI_3 ~~ EAT_21 0.876 0.015
## 1411 EAT_12 ~~ LSAS_2 0.869 0.024
## 195 Social_Withdrawal =~ STAI_8 0.868 0.047
## 1592 LSAS_19 ~~ SPQ_cognitive_perceptual 0.867 0.166
## 828 STAI_5 ~~ OCI_11 0.867 0.016
## 852 STAI_5 ~~ LSAS_19 0.859 -0.011
## 996 STAI_13 ~~ LSAS_16 0.856 -0.011
## 1417 EAT_12 ~~ LSAS_11 0.855 -0.018
## 1377 EAT_10 ~~ LSAS_10 0.849 -0.014
## 144 Compulsive_Behavior =~ SDS_1 0.841 -0.059
## 536 SDS_18 ~~ OCI_16 0.836 -0.020
## 228 SDS_1 ~~ STAI_1 0.835 0.010
## 1355 EAT_4 ~~ LSAS_9 0.832 -0.020
## 1415 EAT_12 ~~ LSAS_9 0.825 0.027
## 1205 OCI_4 ~~ LSAS_6 0.824 -0.023
## 987 STAI_13 ~~ LSAS_2 0.822 -0.010
## 272 SDS_11 ~~ SDS_14 0.821 -0.016
## 1481 EAT_23 ~~ LSAS_9 0.820 0.021
## 1440 EAT_14 ~~ LSAS_19 0.817 0.017
## 601 SDS_20 ~~ LSAS_16 0.813 -0.013
## 399 SDS_14 ~~ EAT_10 0.806 -0.016
## 963 STAI_12 ~~ LSAS_19 0.805 -0.014
## 1591 LSAS_19 ~~ LSAS_20 0.803 0.012
## 1123 STAI_20 ~~ LSAS_11 0.790 0.010
## 1212 OCI_4 ~~ LSAS_15 0.787 -0.018
## 562 SDS_20 ~~ AES_17 0.779 -0.013
## 611 AES_17 ~~ STAI_5 0.778 -0.012
## 405 SDS_14 ~~ EAT_23 0.775 -0.020
## 487 SDS_17 ~~ OCI_4 0.771 0.017
## 605 SDS_20 ~~ SPQ_cognitive_perceptual 0.771 0.165
## 905 STAI_10 ~~ OCI_16 0.771 -0.012
## 1461 EAT_21 ~~ EAT_23 0.768 0.026
## 889 STAI_8 ~~ LSAS_18 0.766 0.012
## 251 SDS_1 ~~ EAT_12 0.762 0.024
## 1166 OCI_3 ~~ EAT_1 0.760 -0.032
## 936 STAI_12 ~~ OCI_2 0.758 -0.023
## 254 SDS_1 ~~ EAT_21 0.758 -0.016
## 875 STAI_8 ~~ EAT_14 0.748 0.016
## 493 SDS_17 ~~ EAT_4 0.747 -0.017
## 678 AES_18 ~~ EAT_23 0.745 -0.019
## 911 STAI_10 ~~ EAT_12 0.743 -0.018
## 1148 OCI_2 ~~ LSAS_6 0.743 -0.025
## 1306 EAT_1 ~~ LSAS_2 0.740 0.019
## 995 STAI_13 ~~ LSAS_15 0.739 0.010
## 621 AES_17 ~~ OCI_3 0.736 -0.019
## 1056 STAI_16 ~~ LSAS_7 0.730 0.011
## 1450 EAT_18 ~~ LSAS_9 0.728 0.016
## 713 STAI_1 ~~ EAT_4 0.728 0.014
## 1329 EAT_3 ~~ LSAS_2 0.725 -0.015
## 317 SDS_11 ~~ LSAS_18 0.723 -0.014
## 1308 EAT_1 ~~ LSAS_7 0.721 -0.023
## 350 SDS_12 ~~ EAT_10 0.720 -0.016
## 407 SDS_14 ~~ LSAS_6 0.718 0.015
## 467 SDS_16 ~~ SPQ_cognitive_perceptual 0.717 0.171
## 973 STAI_13 ~~ OCI_4 0.717 -0.015
## 519 SDS_18 ~~ STAI_1 0.713 0.012
## 1284 OCI_16 ~~ LSAS_7 0.712 -0.018
## 635 AES_17 ~~ EAT_23 0.711 -0.019
## 462 SDS_16 ~~ LSAS_15 0.710 -0.013
## 450 SDS_16 ~~ EAT_14 0.702 0.018
## 885 STAI_8 ~~ LSAS_11 0.700 0.008
## 1009 STAI_15 ~~ OCI_12 0.699 0.018
## 514 SDS_17 ~~ SPQ_cognitive_perceptual 0.696 -0.148
## 401 SDS_14 ~~ EAT_12 0.691 -0.024
## 837 STAI_5 ~~ EAT_14 0.687 -0.014
## 454 SDS_16 ~~ LSAS_2 0.681 0.012
## 248 SDS_1 ~~ EAT_4 0.679 -0.016
## 428 SDS_16 ~~ STAI_4 0.678 -0.015
## 1416 EAT_12 ~~ LSAS_10 0.675 -0.021
## 363 SDS_12 ~~ LSAS_11 0.675 -0.009
## 356 SDS_12 ~~ EAT_23 0.673 -0.021
## 1480 EAT_23 ~~ LSAS_8 0.668 0.019
## 1322 EAT_3 ~~ EAT_10 0.667 0.019
## 341 SDS_12 ~~ OCI_2 0.667 0.022
## 1143 OCI_2 ~~ EAT_14 0.666 0.027
## 300 SDS_11 ~~ EAT_10 0.661 -0.016
## 119 Anxiety_Depression =~ EAT_1 0.659 -0.052
## 1210 OCI_4 ~~ LSAS_11 0.657 0.012
## 1492 LSAS_2 ~~ LSAS_6 0.655 0.013
## 354 SDS_12 ~~ EAT_18 0.653 0.016
## 1315 EAT_1 ~~ LSAS_16 0.650 -0.020
## 1274 OCI_16 ~~ EAT_4 0.648 0.022
## 593 SDS_20 ~~ LSAS_6 0.647 -0.014
## 492 SDS_17 ~~ EAT_3 0.646 0.015
## 220 SDS_1 ~~ SDS_12 0.644 0.013
## 1473 EAT_21 ~~ LSAS_19 0.638 -0.015
## 849 STAI_5 ~~ LSAS_15 0.635 0.010
## 457 SDS_16 ~~ LSAS_8 0.633 -0.013
## 917 STAI_10 ~~ LSAS_6 0.628 0.010
## 801 STAI_4 ~~ EAT_23 0.619 -0.021
## 509 SDS_17 ~~ LSAS_15 0.613 0.010
## 131 Anxiety_Depression =~ LSAS_7 0.613 -0.043
## 1178 OCI_3 ~~ LSAS_7 0.612 0.019
## 825 STAI_5 ~~ OCI_2 0.612 0.017
## 369 SDS_12 ~~ LSAS_20 0.611 0.013
## 554 SDS_18 ~~ LSAS_12 0.609 -0.011
## 989 STAI_13 ~~ LSAS_7 0.608 -0.011
## 1208 OCI_4 ~~ LSAS_9 0.607 0.017
## 908 STAI_10 ~~ EAT_4 0.605 0.012
## 997 STAI_13 ~~ LSAS_18 0.603 0.009
## 1369 EAT_10 ~~ EAT_18 0.601 0.017
## 555 SDS_18 ~~ LSAS_15 0.599 0.013
## 978 STAI_13 ~~ EAT_3 0.591 0.013
## 1292 OCI_16 ~~ LSAS_18 0.588 -0.014
## 1333 EAT_3 ~~ LSAS_9 0.588 0.016
## 1250 OCI_12 ~~ EAT_10 0.586 0.021
## 623 AES_17 ~~ OCI_11 0.586 -0.015
## 1465 EAT_21 ~~ LSAS_8 0.585 -0.015
## 1432 EAT_14 ~~ LSAS_8 0.583 -0.015
## 1314 EAT_1 ~~ LSAS_15 0.583 0.018
## 1124 STAI_20 ~~ LSAS_12 0.578 0.010
## 299 SDS_11 ~~ EAT_4 0.571 0.019
## 600 SDS_20 ~~ LSAS_15 0.567 -0.011
## 870 STAI_8 ~~ EAT_3 0.560 -0.014
## 396 SDS_14 ~~ EAT_1 0.559 -0.019
## 1361 EAT_4 ~~ LSAS_18 0.556 -0.015
## 442 SDS_16 ~~ OCI_12 0.554 0.019
## 1372 EAT_10 ~~ LSAS_2 0.553 0.012
## 1441 EAT_14 ~~ LSAS_20 0.551 -0.015
## 937 STAI_12 ~~ OCI_3 0.548 0.018
## 1577 LSAS_15 ~~ LSAS_18 0.547 0.010
## 187 Social_Withdrawal =~ SDS_18 0.545 -0.047
## 1483 EAT_23 ~~ LSAS_11 0.543 -0.011
## 772 STAI_3 ~~ LSAS_18 0.541 -0.008
## 813 STAI_4 ~~ LSAS_19 0.534 0.012
## 980 STAI_13 ~~ EAT_10 0.529 -0.010
## 1482 EAT_23 ~~ LSAS_10 0.526 -0.014
## 1569 LSAS_12 ~~ LSAS_15 0.522 -0.008
## 1436 EAT_14 ~~ LSAS_12 0.515 -0.011
## 512 SDS_17 ~~ LSAS_19 0.508 -0.009
## 1079 STAI_19 ~~ EAT_10 0.508 0.012
## 1008 STAI_15 ~~ OCI_11 0.506 0.012
## 278 SDS_11 ~~ AES_18 0.506 0.012
## 1574 LSAS_12 ~~ SPQ_cognitive_perceptual 0.504 -0.108
## 804 STAI_4 ~~ LSAS_7 0.504 -0.014
## 642 AES_17 ~~ LSAS_11 0.502 -0.007
## 644 AES_17 ~~ LSAS_15 0.501 0.010
## 826 STAI_5 ~~ OCI_3 0.500 0.014
## 1433 EAT_14 ~~ LSAS_9 0.496 -0.015
## 447 SDS_16 ~~ EAT_10 0.487 0.012
## 673 AES_18 ~~ EAT_11 0.487 -0.013
## 940 STAI_12 ~~ OCI_12 0.486 -0.019
## 574 SDS_20 ~~ STAI_19 0.480 -0.010
## 186 Social_Withdrawal =~ SDS_17 0.479 0.034
## 297 SDS_11 ~~ EAT_1 0.478 0.020
## 597 SDS_20 ~~ LSAS_10 0.477 -0.009
## 1366 EAT_10 ~~ EAT_11 0.477 0.016
## 578 SDS_20 ~~ OCI_4 0.476 -0.014
## 393 SDS_14 ~~ OCI_11 0.474 -0.014
## 376 SDS_14 ~~ AES_17 0.474 0.011
## 974 STAI_13 ~~ OCI_11 0.473 -0.011
## 495 SDS_17 ~~ EAT_11 0.461 -0.012
## 466 SDS_16 ~~ LSAS_20 0.459 0.010
## 544 SDS_18 ~~ EAT_18 0.458 0.014
## 1118 STAI_20 ~~ LSAS_6 0.458 -0.013
## 481 SDS_17 ~~ STAI_15 0.457 -0.008
## 474 SDS_17 ~~ STAI_3 0.457 0.007
## 1007 STAI_15 ~~ OCI_4 0.455 0.013
## 596 SDS_20 ~~ LSAS_9 0.454 -0.010
## 1299 EAT_1 ~~ EAT_10 0.454 -0.019
## 881 STAI_8 ~~ LSAS_7 0.453 -0.010
## 533 SDS_18 ~~ OCI_4 0.452 -0.017
## 737 STAI_3 ~~ STAI_5 0.450 0.007
## 832 STAI_5 ~~ EAT_3 0.448 -0.011
## 262 SDS_1 ~~ LSAS_11 0.446 -0.007
## 443 SDS_16 ~~ OCI_16 0.445 -0.013
## 869 STAI_8 ~~ EAT_1 0.444 -0.015
## 1011 STAI_15 ~~ EAT_1 0.438 -0.014
## 1019 STAI_15 ~~ EAT_21 0.429 0.011
## 1017 STAI_15 ~~ EAT_14 0.427 -0.011
## 1168 OCI_3 ~~ EAT_4 0.427 -0.021
## 1418 EAT_12 ~~ LSAS_12 0.426 -0.015
## 622 AES_17 ~~ OCI_4 0.426 -0.014
## 682 AES_18 ~~ LSAS_8 0.425 -0.009
## 364 SDS_12 ~~ LSAS_12 0.421 -0.008
## 413 SDS_14 ~~ LSAS_12 0.419 -0.008
## 541 SDS_18 ~~ EAT_11 0.417 -0.015
## 909 STAI_10 ~~ EAT_10 0.417 -0.008
## 858 STAI_8 ~~ STAI_13 0.416 -0.008
## 1001 STAI_13 ~~ SPQ_interpersonal 0.413 0.074
## 1278 OCI_16 ~~ EAT_14 0.410 0.016
## 198 Social_Withdrawal =~ STAI_13 0.406 -0.029
## 226 SDS_1 ~~ AES_17 0.403 -0.009
## 1201 OCI_4 ~~ EAT_18 0.401 -0.016
## 1043 STAI_16 ~~ OCI_16 0.401 -0.009
## 1062 STAI_16 ~~ LSAS_15 0.400 -0.007
## 1180 OCI_3 ~~ LSAS_9 0.398 0.015
## 793 STAI_4 ~~ EAT_3 0.397 -0.015
## 717 STAI_1 ~~ EAT_14 0.397 -0.010
## 1396 EAT_11 ~~ LSAS_9 0.391 0.013
## 507 SDS_17 ~~ LSAS_11 0.390 0.006
## 1080 STAI_19 ~~ EAT_11 0.389 0.012
## 1000 STAI_13 ~~ SPQ_cognitive_perceptual 0.389 0.100
## 988 STAI_13 ~~ LSAS_6 0.382 0.009
## 1263 OCI_12 ~~ LSAS_11 0.382 -0.010
## 591 SDS_20 ~~ EAT_23 0.375 -0.014
## 1156 OCI_2 ~~ LSAS_16 0.374 0.015
## 1311 EAT_1 ~~ LSAS_10 0.373 0.013
## 838 STAI_5 ~~ EAT_18 0.372 -0.010
## 1015 STAI_15 ~~ EAT_11 0.371 0.010
## 1376 EAT_10 ~~ LSAS_9 0.371 -0.011
## 1169 OCI_3 ~~ EAT_10 0.370 -0.016
## 141 Anxiety_Depression =~ LSAS_20 0.368 0.029
## 1199 OCI_4 ~~ EAT_12 0.367 0.025
## 1227 OCI_11 ~~ EAT_14 0.363 0.016
## 1443 EAT_14 ~~ SPQ_interpersonal 0.362 -0.112
## 636 AES_17 ~~ LSAS_2 0.361 -0.008
## 981 STAI_13 ~~ EAT_11 0.357 0.010
## 706 STAI_1 ~~ OCI_3 0.355 -0.010
## 298 SDS_11 ~~ EAT_3 0.354 -0.014
## 490 SDS_17 ~~ OCI_16 0.352 -0.010
## 1006 STAI_15 ~~ OCI_3 0.347 0.011
## 1438 EAT_14 ~~ LSAS_16 0.346 0.012
## 306 SDS_11 ~~ EAT_23 0.345 -0.016
## 1548 LSAS_9 ~~ LSAS_19 0.345 -0.009
## 1575 LSAS_12 ~~ SPQ_interpersonal 0.343 0.065
## 1206 OCI_4 ~~ LSAS_7 0.342 0.014
## 1176 OCI_3 ~~ LSAS_2 0.340 -0.012
## 485 SDS_17 ~~ OCI_2 0.337 0.013
## 1567 LSAS_11 ~~ SPQ_cognitive_perceptual 0.335 0.077
## 216 Social_Withdrawal =~ EAT_18 0.335 -0.029
## 1331 EAT_3 ~~ LSAS_7 0.335 -0.013
## 1537 LSAS_8 ~~ LSAS_18 0.334 0.008
## 1228 OCI_11 ~~ EAT_18 0.331 -0.014
## 890 STAI_8 ~~ LSAS_19 0.330 0.007
## 1042 STAI_16 ~~ OCI_12 0.329 0.011
## 1437 EAT_14 ~~ LSAS_15 0.327 0.011
## 1060 STAI_16 ~~ LSAS_11 0.325 -0.004
## 397 SDS_14 ~~ EAT_3 0.324 0.011
## 445 SDS_16 ~~ EAT_3 0.322 0.012
## 714 STAI_1 ~~ EAT_10 0.321 0.007
## 415 SDS_14 ~~ LSAS_16 0.321 -0.009
## 582 SDS_20 ~~ EAT_1 0.320 -0.014
## 292 SDS_11 ~~ OCI_3 0.319 0.015
## 437 SDS_16 ~~ STAI_20 0.318 0.009
## 1489 EAT_23 ~~ LSAS_20 0.314 0.012
## 540 SDS_18 ~~ EAT_10 0.314 -0.011
## 618 AES_17 ~~ STAI_19 0.309 -0.008
## 1181 OCI_3 ~~ LSAS_10 0.305 -0.011
## 1264 OCI_12 ~~ LSAS_12 0.304 0.010
## 873 STAI_8 ~~ EAT_11 0.302 -0.010
## 757 STAI_3 ~~ EAT_12 0.301 -0.012
## 765 STAI_3 ~~ LSAS_8 0.301 0.007
## 878 STAI_8 ~~ EAT_23 0.299 -0.012
## 325 SDS_12 ~~ SDS_18 0.299 0.011
## 339 SDS_12 ~~ STAI_19 0.298 -0.009
## 672 AES_18 ~~ EAT_10 0.298 0.009
## 1330 EAT_3 ~~ LSAS_6 0.292 0.012
## 343 SDS_12 ~~ OCI_4 0.289 0.013
## 188 Social_Withdrawal =~ SDS_20 0.289 -0.028
## 505 SDS_17 ~~ LSAS_9 0.289 0.008
## 1309 EAT_1 ~~ LSAS_8 0.285 0.013
## 455 SDS_16 ~~ LSAS_6 0.283 0.010
## 1151 OCI_2 ~~ LSAS_9 0.277 0.013
## 716 STAI_1 ~~ EAT_12 0.275 -0.011
## 215 Social_Withdrawal =~ EAT_14 0.273 -0.029
## 444 SDS_16 ~~ EAT_1 0.272 -0.013
## 886 STAI_8 ~~ LSAS_12 0.271 0.006
## 1209 OCI_4 ~~ LSAS_10 0.270 0.010
## 802 STAI_4 ~~ LSAS_2 0.268 -0.008
## 1137 OCI_2 ~~ EAT_1 0.268 -0.021
## 451 SDS_16 ~~ EAT_18 0.267 0.010
## 586 SDS_20 ~~ EAT_11 0.266 -0.010
## 1081 STAI_19 ~~ EAT_12 0.265 0.014
## 939 STAI_12 ~~ OCI_11 0.263 0.011
## 461 SDS_16 ~~ LSAS_12 0.263 0.006
## 1449 EAT_18 ~~ LSAS_8 0.263 0.009
## 752 STAI_3 ~~ EAT_1 0.262 -0.010
## 1380 EAT_10 ~~ LSAS_15 0.258 0.008
## 951 STAI_12 ~~ EAT_23 0.257 -0.013
## 1028 STAI_15 ~~ LSAS_12 0.249 -0.005
## 625 AES_17 ~~ OCI_16 0.249 -0.010
## 180 Compulsive_Behavior =~ SPQ_interpersonal 0.248 0.308
## 1285 OCI_16 ~~ LSAS_8 0.248 0.010
## 1014 STAI_15 ~~ EAT_10 0.247 0.007
## 183 Social_Withdrawal =~ SDS_12 0.243 -0.030
## 296 SDS_11 ~~ OCI_16 0.243 0.011
## 1116 STAI_20 ~~ EAT_23 0.241 -0.012
## 1047 STAI_16 ~~ EAT_10 0.239 -0.006
## 1253 OCI_12 ~~ EAT_14 0.239 0.016
## 1593 LSAS_19 ~~ SPQ_interpersonal 0.235 -0.063
## 1485 EAT_23 ~~ LSAS_15 0.233 -0.011
## 1221 OCI_11 ~~ EAT_1 0.233 -0.016
## 715 STAI_1 ~~ EAT_11 0.231 -0.007
## 1010 STAI_15 ~~ OCI_16 0.230 0.008
## 410 SDS_14 ~~ LSAS_9 0.230 0.008
## 1029 STAI_15 ~~ LSAS_15 0.228 0.006
## 1066 STAI_16 ~~ LSAS_20 0.228 -0.005
## 686 AES_18 ~~ LSAS_12 0.227 -0.005
## 984 STAI_13 ~~ EAT_18 0.226 -0.007
## 140 Anxiety_Depression =~ LSAS_19 0.223 0.022
## 595 SDS_20 ~~ LSAS_8 0.222 -0.007
## 1022 STAI_15 ~~ LSAS_6 0.221 -0.007
## 400 SDS_14 ~~ EAT_11 0.219 0.009
## 669 AES_18 ~~ EAT_1 0.218 0.011
## 727 STAI_1 ~~ LSAS_11 0.216 0.004
## 1111 STAI_20 ~~ EAT_11 0.211 -0.010
## 151 Compulsive_Behavior =~ SDS_20 0.209 0.031
## 1279 OCI_16 ~~ EAT_18 0.209 -0.011
## 270 SDS_1 ~~ SPQ_interpersonal 0.209 0.060
## 125 Anxiety_Depression =~ EAT_14 0.203 -0.024
## 957 STAI_12 ~~ LSAS_10 0.202 0.007
## 1129 STAI_20 ~~ LSAS_20 0.202 -0.007
## 680 AES_18 ~~ LSAS_6 0.201 0.008
## 1272 OCI_16 ~~ EAT_1 0.199 0.014
## 1282 OCI_16 ~~ LSAS_2 0.199 0.008
## 286 SDS_11 ~~ STAI_13 0.198 -0.007
## 535 SDS_18 ~~ OCI_12 0.197 0.013
## 1464 EAT_21 ~~ LSAS_7 0.195 0.010
## 1039 STAI_16 ~~ OCI_3 0.195 0.008
## 253 SDS_1 ~~ EAT_18 0.191 -0.008
## 1422 EAT_12 ~~ LSAS_19 0.190 0.011
## 1291 OCI_16 ~~ LSAS_16 0.189 0.008
## 847 STAI_5 ~~ LSAS_11 0.188 0.004
## 1486 EAT_23 ~~ LSAS_16 0.188 0.010
## 861 STAI_8 ~~ STAI_19 0.188 0.006
## 1414 EAT_12 ~~ LSAS_8 0.185 0.012
## 722 STAI_1 ~~ LSAS_6 0.181 0.006
## 1428 EAT_14 ~~ EAT_23 0.180 0.013
## 1557 LSAS_10 ~~ LSAS_19 0.180 0.005
## 1110 STAI_20 ~~ EAT_10 0.180 -0.008
## 753 STAI_3 ~~ EAT_3 0.178 0.007
## 671 AES_18 ~~ EAT_4 0.176 0.008
## 1463 EAT_21 ~~ LSAS_6 0.176 0.010
## 1467 EAT_21 ~~ LSAS_10 0.174 -0.007
## 1471 EAT_21 ~~ LSAS_16 0.171 0.008
## 1420 EAT_12 ~~ LSAS_16 0.171 0.012
## 1078 STAI_19 ~~ EAT_4 0.170 0.008
## 489 SDS_17 ~~ OCI_12 0.167 -0.009
## 1454 EAT_18 ~~ LSAS_15 0.166 0.007
## 923 STAI_10 ~~ LSAS_12 0.165 -0.004
## 303 SDS_11 ~~ EAT_14 0.164 0.010
## 1107 STAI_20 ~~ EAT_1 0.164 -0.011
## 491 SDS_17 ~~ EAT_1 0.163 -0.009
## 500 SDS_17 ~~ EAT_23 0.157 0.008
## 1268 OCI_12 ~~ LSAS_19 0.156 0.009
## 588 SDS_20 ~~ EAT_14 0.156 -0.008
## 182 Social_Withdrawal =~ SDS_11 0.154 0.025
## 1334 EAT_3 ~~ LSAS_10 0.154 0.007
## 1475 EAT_21 ~~ SPQ_cognitive_perceptual 0.153 -0.099
## 915 STAI_10 ~~ EAT_23 0.152 -0.007
## 1328 EAT_3 ~~ EAT_23 0.150 0.012
## 732 STAI_1 ~~ LSAS_19 0.148 -0.004
## 263 SDS_1 ~~ LSAS_12 0.145 0.004
## 521 SDS_18 ~~ STAI_4 0.145 0.008
## 1204 OCI_4 ~~ LSAS_2 0.140 0.007
## 387 SDS_14 ~~ STAI_16 0.139 0.004
## 1213 OCI_4 ~~ LSAS_16 0.137 0.008
## 1447 EAT_18 ~~ LSAS_6 0.137 -0.008
## 453 SDS_16 ~~ EAT_23 0.136 -0.009
## 1012 STAI_15 ~~ EAT_3 0.136 0.006
## 999 STAI_13 ~~ LSAS_20 0.136 -0.005
## 245 SDS_1 ~~ OCI_16 0.135 -0.007
## 657 AES_18 ~~ STAI_12 0.134 -0.006
## 683 AES_18 ~~ LSAS_9 0.134 0.005
## 1083 STAI_19 ~~ EAT_18 0.131 -0.006
## 796 STAI_4 ~~ EAT_11 0.130 0.008
## 1040 STAI_16 ~~ OCI_4 0.130 0.006
## 126 Anxiety_Depression =~ EAT_18 0.129 -0.017
## 1259 OCI_12 ~~ LSAS_7 0.129 0.010
## 446 SDS_16 ~~ EAT_4 0.127 -0.008
## 784 STAI_4 ~~ STAI_19 0.126 -0.006
## 959 STAI_12 ~~ LSAS_12 0.125 -0.005
## 879 STAI_8 ~~ LSAS_2 0.122 0.005
## 333 SDS_12 ~~ STAI_8 0.121 -0.005
## 1275 OCI_16 ~~ EAT_10 0.121 -0.008
## 700 STAI_1 ~~ STAI_13 0.120 -0.003
## 1397 EAT_11 ~~ LSAS_10 0.120 -0.006
## 919 STAI_10 ~~ LSAS_8 0.120 -0.004
## 1502 LSAS_2 ~~ LSAS_19 0.117 -0.004
## 1421 EAT_12 ~~ LSAS_18 0.112 0.009
## 1207 OCI_4 ~~ LSAS_8 0.111 -0.007
## 874 STAI_8 ~~ EAT_12 0.111 -0.009
## 222 SDS_1 ~~ SDS_16 0.109 -0.005
## 1114 STAI_20 ~~ EAT_18 0.106 -0.006
## 134 Anxiety_Depression =~ LSAS_10 0.106 0.014
## 1338 EAT_3 ~~ LSAS_16 0.105 -0.006
## 634 AES_17 ~~ EAT_21 0.105 0.006
## 1211 OCI_4 ~~ LSAS_12 0.104 0.005
## 1374 EAT_10 ~~ LSAS_7 0.101 0.006
## 1226 OCI_11 ~~ EAT_12 0.100 -0.012
## 508 SDS_17 ~~ LSAS_12 0.099 -0.003
## 906 STAI_10 ~~ EAT_1 0.099 -0.006
## 528 SDS_18 ~~ STAI_16 0.096 -0.004
## 463 SDS_16 ~~ LSAS_16 0.095 0.005
## 247 SDS_1 ~~ EAT_3 0.095 -0.006
## 971 STAI_13 ~~ OCI_2 0.094 0.006
## 744 STAI_3 ~~ STAI_19 0.093 -0.004
## 876 STAI_8 ~~ EAT_18 0.092 0.005
## 1147 OCI_2 ~~ LSAS_2 0.091 0.007
## 1065 STAI_16 ~~ LSAS_19 0.086 0.003
## 550 SDS_18 ~~ LSAS_8 0.085 -0.005
## 604 SDS_20 ~~ LSAS_20 0.085 -0.004
## 986 STAI_13 ~~ EAT_23 0.085 0.006
## 1172 OCI_3 ~~ EAT_14 0.084 0.009
## 564 SDS_20 ~~ STAI_1 0.082 0.003
## 227 SDS_1 ~~ AES_18 0.082 0.004
## 312 SDS_11 ~~ LSAS_10 0.082 0.004
## 534 SDS_18 ~~ OCI_11 0.082 -0.007
## 161 Compulsive_Behavior =~ STAI_13 0.081 0.016
## 1556 LSAS_10 ~~ LSAS_18 0.077 -0.003
## 1400 EAT_11 ~~ LSAS_15 0.077 0.005
## 313 SDS_11 ~~ LSAS_11 0.076 0.003
## 133 Anxiety_Depression =~ LSAS_9 0.076 0.014
## 812 STAI_4 ~~ LSAS_18 0.075 -0.005
## 754 STAI_3 ~~ EAT_4 0.074 -0.005
## 348 SDS_12 ~~ EAT_3 0.072 0.006
## 1394 EAT_11 ~~ LSAS_7 0.071 0.006
## 1423 EAT_12 ~~ LSAS_20 0.071 -0.007
## 538 SDS_18 ~~ EAT_3 0.070 -0.006
## 1144 OCI_2 ~~ EAT_18 0.070 -0.008
## 1005 STAI_15 ~~ OCI_2 0.070 -0.006
## 902 STAI_10 ~~ OCI_4 0.069 -0.004
## 494 SDS_17 ~~ EAT_10 0.068 0.004
## 693 AES_18 ~~ SPQ_interpersonal 0.068 0.034
## 283 SDS_11 ~~ STAI_8 0.067 -0.004
## 938 STAI_12 ~~ OCI_4 0.065 0.006
## 872 STAI_8 ~~ EAT_10 0.064 -0.004
## 1018 STAI_15 ~~ EAT_18 0.064 0.004
## 1240 OCI_11 ~~ LSAS_16 0.063 -0.005
## 1046 STAI_16 ~~ EAT_4 0.062 0.004
## 537 SDS_18 ~~ EAT_1 0.062 -0.007
## 1261 OCI_12 ~~ LSAS_9 0.060 -0.006
## 1063 STAI_16 ~~ LSAS_16 0.060 -0.003
## 1476 EAT_21 ~~ SPQ_interpersonal 0.059 0.044
## 1351 EAT_4 ~~ LSAS_2 0.059 0.005
## 1224 OCI_11 ~~ EAT_10 0.059 0.005
## 799 STAI_4 ~~ EAT_18 0.058 -0.005
## 907 STAI_10 ~~ EAT_3 0.058 0.004
## 1071 STAI_19 ~~ OCI_3 0.056 -0.005
## 238 SDS_1 ~~ STAI_19 0.053 -0.003
## 402 SDS_14 ~~ EAT_14 0.052 0.005
## 277 SDS_11 ~~ AES_17 0.052 -0.004
## 409 SDS_14 ~~ LSAS_8 0.051 0.003
## 1439 EAT_14 ~~ LSAS_18 0.051 -0.004
## 344 SDS_12 ~~ OCI_11 0.051 0.005
## 1161 OCI_2 ~~ SPQ_interpersonal 0.049 -0.050
## 761 STAI_3 ~~ EAT_23 0.049 0.004
## 1140 OCI_2 ~~ EAT_10 0.049 0.006
## 668 AES_18 ~~ OCI_16 0.048 -0.004
## 1313 EAT_1 ~~ LSAS_12 0.047 0.004
## 581 SDS_20 ~~ OCI_16 0.047 0.004
## 362 SDS_12 ~~ LSAS_10 0.046 0.003
## 1013 STAI_15 ~~ EAT_4 0.044 0.004
## 1310 EAT_1 ~~ LSAS_9 0.043 -0.005
## 633 AES_17 ~~ EAT_18 0.041 0.004
## 924 STAI_10 ~~ LSAS_15 0.041 0.002
## 910 STAI_10 ~~ EAT_11 0.041 0.003
## 1419 EAT_12 ~~ LSAS_15 0.041 0.006
## 308 SDS_11 ~~ LSAS_6 0.041 -0.004
## 626 AES_17 ~~ EAT_1 0.041 -0.005
## 1038 STAI_16 ~~ OCI_2 0.038 0.004
## 1462 EAT_21 ~~ LSAS_2 0.038 -0.004
## 1305 EAT_1 ~~ EAT_23 0.038 0.007
## 1092 STAI_19 ~~ LSAS_11 0.038 -0.002
## 1187 OCI_3 ~~ LSAS_19 0.038 0.004
## 762 STAI_3 ~~ LSAS_2 0.037 -0.002
## 366 SDS_12 ~~ LSAS_16 0.036 -0.003
## 944 STAI_12 ~~ EAT_4 0.036 -0.004
## 118 Anxiety_Depression =~ OCI_16 0.036 0.009
## 831 STAI_5 ~~ EAT_1 0.036 0.004
## 1455 EAT_18 ~~ LSAS_16 0.035 -0.003
## 458 SDS_16 ~~ LSAS_9 0.035 0.003
## 237 SDS_1 ~~ STAI_16 0.034 -0.002
## 211 Social_Withdrawal =~ EAT_4 0.033 0.011
## 256 SDS_1 ~~ LSAS_2 0.033 -0.002
## 1031 STAI_15 ~~ LSAS_18 0.032 0.002
## 267 SDS_1 ~~ LSAS_19 0.032 -0.002
## 1058 STAI_16 ~~ LSAS_9 0.031 -0.002
## 1075 STAI_19 ~~ OCI_16 0.030 -0.003
## 994 STAI_13 ~~ LSAS_12 0.030 0.002
## 943 STAI_12 ~~ EAT_3 0.029 0.004
## 820 STAI_5 ~~ STAI_13 0.029 -0.002
## 843 STAI_5 ~~ LSAS_7 0.028 -0.002
## 950 STAI_12 ~~ EAT_21 0.028 -0.004
## 510 SDS_17 ~~ LSAS_16 0.024 0.002
## 441 SDS_16 ~~ OCI_11 0.024 0.003
## 967 STAI_13 ~~ STAI_15 0.024 -0.002
## 266 SDS_1 ~~ LSAS_18 0.024 -0.002
## 532 SDS_18 ~~ OCI_3 0.023 0.004
## 599 SDS_20 ~~ LSAS_12 0.022 0.002
## 1413 EAT_12 ~~ LSAS_7 0.022 -0.005
## 1041 STAI_16 ~~ OCI_11 0.019 0.002
## 681 AES_18 ~~ LSAS_7 0.019 -0.002
## 1215 OCI_4 ~~ LSAS_19 0.018 -0.003
## 585 SDS_20 ~~ EAT_10 0.018 0.002
## 766 STAI_3 ~~ LSAS_9 0.018 -0.002
## 650 AES_17 ~~ SPQ_interpersonal 0.017 -0.019
## 1067 STAI_16 ~~ SPQ_cognitive_perceptual 0.017 0.019
## 417 SDS_14 ~~ LSAS_19 0.017 -0.002
## 498 SDS_17 ~~ EAT_18 0.016 0.002
## 573 SDS_20 ~~ STAI_16 0.015 0.001
## 1536 LSAS_8 ~~ LSAS_16 0.015 -0.002
## 1336 EAT_3 ~~ LSAS_12 0.015 0.002
## 1318 EAT_1 ~~ LSAS_20 0.015 0.003
## 577 SDS_20 ~~ OCI_3 0.014 0.003
## 1458 EAT_18 ~~ LSAS_20 0.014 -0.002
## 345 SDS_12 ~~ OCI_12 0.014 -0.003
## 1337 EAT_3 ~~ LSAS_15 0.014 -0.002
## 246 SDS_1 ~~ EAT_1 0.013 0.003
## 1478 EAT_23 ~~ LSAS_6 0.013 -0.003
## 1233 OCI_11 ~~ LSAS_7 0.013 -0.003
## 689 AES_18 ~~ LSAS_18 0.013 0.002
## 733 STAI_1 ~~ LSAS_20 0.013 0.001
## 120 Anxiety_Depression =~ EAT_3 0.012 -0.006
## 877 STAI_8 ~~ EAT_21 0.012 -0.002
## 925 STAI_10 ~~ LSAS_16 0.011 -0.001
## 1456 EAT_18 ~~ LSAS_18 0.011 -0.002
## 779 STAI_4 ~~ STAI_10 0.011 0.001
## 1021 STAI_15 ~~ LSAS_2 0.011 0.001
## 798 STAI_4 ~~ EAT_14 0.011 0.002
## 1061 STAI_16 ~~ LSAS_12 0.011 -0.001
## 1319 EAT_1 ~~ SPQ_cognitive_perceptual 0.011 0.033
## 797 STAI_4 ~~ EAT_12 0.011 -0.003
## 1547 LSAS_9 ~~ LSAS_18 0.009 -0.001
## 1349 EAT_4 ~~ EAT_21 0.009 0.003
## 1312 EAT_1 ~~ LSAS_11 0.008 0.002
## 851 STAI_5 ~~ LSAS_18 0.008 0.001
## 1466 EAT_21 ~~ LSAS_9 0.008 -0.002
## 584 SDS_20 ~~ EAT_4 0.008 -0.002
## 844 STAI_5 ~~ LSAS_8 0.008 -0.001
## 679 AES_18 ~~ LSAS_2 0.008 -0.001
## 1023 STAI_15 ~~ LSAS_7 0.007 0.001
## 1457 EAT_18 ~~ LSAS_19 0.007 0.001
## 795 STAI_4 ~~ EAT_10 0.006 0.002
## 1258 OCI_12 ~~ LSAS_6 0.006 0.002
## 1260 OCI_12 ~~ LSAS_8 0.005 0.002
## 576 SDS_20 ~~ OCI_2 0.005 -0.002
## 742 STAI_3 ~~ STAI_15 0.005 0.001
## 349 SDS_12 ~~ EAT_4 0.005 0.002
## 346 SDS_12 ~~ OCI_16 0.005 0.001
## 730 STAI_1 ~~ LSAS_16 0.005 0.001
## 171 Compulsive_Behavior =~ LSAS_10 0.005 -0.004
## 583 SDS_20 ~~ EAT_3 0.004 0.001
## 712 STAI_1 ~~ EAT_3 0.004 0.001
## 703 STAI_1 ~~ STAI_19 0.004 -0.001
## 543 SDS_18 ~~ EAT_14 0.004 -0.002
## 1484 EAT_23 ~~ LSAS_12 0.004 0.001
## 850 STAI_5 ~~ LSAS_16 0.004 0.001
## 305 SDS_11 ~~ EAT_21 0.003 0.001
## 260 SDS_1 ~~ LSAS_9 0.003 0.001
## 833 STAI_5 ~~ EAT_4 0.003 -0.001
## 231 SDS_1 ~~ STAI_5 0.003 -0.001
## 1245 OCI_11 ~~ SPQ_interpersonal 0.002 -0.009
## 1488 EAT_23 ~~ LSAS_19 0.002 0.001
## 449 SDS_16 ~~ EAT_12 0.002 0.001
## 637 AES_17 ~~ LSAS_6 0.002 -0.001
## 676 AES_18 ~~ EAT_18 0.002 -0.001
## 1150 OCI_2 ~~ LSAS_8 0.002 0.001
## 1082 STAI_19 ~~ EAT_14 0.002 -0.001
## 236 SDS_1 ~~ STAI_15 0.002 0.000
## 1055 STAI_16 ~~ LSAS_6 0.001 0.000
## 983 STAI_13 ~~ EAT_14 0.001 0.001
## 1434 EAT_14 ~~ LSAS_10 0.001 -0.001
## 414 SDS_14 ~~ LSAS_15 0.001 0.000
## 1234 OCI_11 ~~ LSAS_8 0.001 -0.001
## 352 SDS_12 ~~ EAT_12 0.001 -0.001
## 616 AES_17 ~~ STAI_15 0.001 0.000
## 258 SDS_1 ~~ LSAS_7 0.001 0.000
## 687 AES_18 ~~ LSAS_15 0.000 0.000
## 720 STAI_1 ~~ EAT_23 0.000 0.000
## 598 SDS_20 ~~ LSAS_11 0.000 0.000
## 1477 EAT_23 ~~ LSAS_2 0.000 0.000
## 1077 STAI_19 ~~ EAT_3 0.000 0.000
## 641 AES_17 ~~ LSAS_10 0.000 0.000
## 942 STAI_12 ~~ EAT_1 0.000 0.000
## 1117 STAI_20 ~~ LSAS_2 0.000 0.000
## 259 SDS_1 ~~ LSAS_8 0.000 0.000
## 1127 STAI_20 ~~ LSAS_18 0.000 0.000
## sepc.lv sepc.all sepc.nox
## 1531 0.322 0.721 0.721
## 1561 0.160 0.775 0.775
## 1584 0.269 0.675 0.675
## 1552 0.136 0.565 0.565
## 607 0.204 0.482 0.482
## 117 0.560 0.476 0.476
## 821 0.154 0.486 0.486
## 1516 0.227 0.475 0.475
## 271 0.246 0.431 0.431
## 1132 0.447 0.414 0.414
## 897 0.100 0.432 0.432
## 1193 0.314 0.391 0.391
## 1513 0.199 0.410 0.410
## 1134 0.360 0.376 0.376
## 1162 0.352 0.374 0.374
## 179 3.515 0.371 0.371
## 1566 -0.113 -0.429 -0.429
## 1135 0.421 0.361 0.361
## 1444 0.262 0.416 0.416
## 1219 0.338 0.358 0.358
## 197 0.368 0.363 0.363
## 1133 0.364 0.352 0.352
## 1493 0.155 0.361 0.361
## 143 2.944 0.321 0.321
## 326 0.153 0.327 0.327
## 1573 -0.108 -0.352 -0.352
## 932 0.130 0.321 0.321
## 817 0.111 0.322 0.322
## 207 0.359 0.305 0.305
## 1563 -0.092 -0.344 -0.344
## 1510 -0.107 -0.334 -0.334
## 1191 0.245 0.294 0.294
## 1512 0.146 0.307 0.307
## 1407 0.323 0.307 0.307
## 1163 0.247 0.284 0.284
## 694 0.078 0.305 0.305
## 1388 0.229 0.337 0.337
## 862 0.121 0.281 0.281
## 273 0.149 0.279 0.279
## 1302 0.266 0.300 0.300
## 1321 0.221 0.291 0.291
## 1220 0.198 0.267 0.267
## 1570 -0.092 -0.294 -0.294
## 142 3.109 0.328 0.328
## 1325 -0.205 -0.290 -0.290
## 698 0.066 0.278 0.278
## 1130 1.523 0.254 0.254
## 1192 0.257 0.252 0.252
## 968 0.070 0.267 0.267
## 1270 2.261 0.247 0.247
## 1164 0.262 0.246 0.246
## 203 0.290 0.253 0.253
## 1509 -0.111 -0.256 -0.256
## 819 0.102 0.252 0.252
## 1576 0.103 0.260 0.260
## 1327 0.188 0.270 0.270
## 1300 0.229 0.272 0.272
## 1582 0.096 0.248 0.248
## 1511 -0.093 -0.250 -0.250
## 1160 2.104 0.227 0.227
## 323 0.117 0.232 0.232
## 113 0.268 0.233 0.233
## 1136 0.204 0.222 0.222
## 859 0.080 0.232 0.232
## 1558 -0.085 -0.238 -0.238
## 1534 -0.078 -0.242 -0.242
## 1217 1.782 0.220 0.220
## 469 0.104 0.226 0.226
## 332 -0.093 -0.225 -0.225
## 1225 -0.164 -0.232 -0.232
## 1105 0.163 0.216 0.216
## 1533 -0.066 -0.240 -0.240
## 1347 -0.180 -0.235 -0.235
## 1165 0.178 0.212 0.212
## 1555 -0.082 -0.226 -0.226
## 431 -0.073 -0.222 -0.222
## 124 -0.292 -0.193 -0.193
## 1391 0.186 0.235 0.235
## 1410 0.264 0.216 0.216
## 159 -0.115 -0.130 -0.130
## 1295 1.488 0.206 0.206
## 1530 0.924 0.215 0.215
## 165 0.163 0.180 0.180
## 1141 -0.194 -0.222 -0.222
## 894 -0.071 -0.207 -0.207
## 373 0.081 0.205 0.205
## 244 0.131 0.197 0.197
## 1189 1.616 0.191 0.191
## 1326 0.138 0.217 0.217
## 1244 1.421 0.190 0.190
## 1554 -0.071 -0.199 -0.199
## 572 -0.069 -0.192 -0.192
## 523 -0.089 -0.187 -0.187
## 567 -0.068 -0.190 -0.190
## 892 0.961 0.184 0.184
## 736 -0.074 -0.188 -0.188
## 276 0.090 0.182 0.182
## 1146 -0.193 -0.181 -0.181
## 374 0.092 0.177 0.177
## 815 1.137 0.172 0.172
## 435 -0.060 -0.181 -0.181
## 516 0.087 0.175 0.175
## 1544 -0.061 -0.183 -0.183
## 1501 -0.063 -0.174 -0.174
## 1069 0.076 0.169 0.169
## 660 -0.053 -0.175 -0.175
## 1303 -0.147 -0.185 -0.185
## 389 -0.079 -0.170 -0.170
## 1004 0.067 0.169 0.169
## 745 -0.061 -0.170 -0.170
## 570 -0.077 -0.167 -0.167
## 1304 -0.157 -0.180 -0.180
## 214 -0.221 -0.146 -0.146
## 1426 -0.119 -0.185 -0.185
## 896 -0.046 -0.172 -0.172
## 1344 0.114 0.177 0.177
## 1389 -0.116 -0.190 -0.190
## 1580 -0.870 -0.164 -0.164
## 702 0.041 0.171 0.171
## 1101 0.122 0.159 0.159
## 1596 8.290 0.163 0.163
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