ESEM1b Step1
Vas
2022-07-13
Setup
## Skipping install of 'esem' from a github remote, the SHA1 (a5d637bf) has not changed since last install.
## Use `force = TRUE` to force installation## -- Attaching packages --------------------------------------- tidyverse 1.3.1 --## v ggplot2 3.3.5 v purrr 0.3.4
## v tibble 3.1.6 v dplyr 1.0.7
## v tidyr 1.1.4 v stringr 1.4.0
## v readr 2.1.1 v forcats 0.5.1## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()## This is lavaan 0.6-11
## lavaan is FREE software! Please report any bugs.##
## Attaching package: 'psych'## The following object is masked from 'package:lavaan':
##
## cor2cov## The following objects are masked from 'package:ggplot2':
##
## %+%, alphaLoading the demonstration data
sdq_lsac<-sdq_lsac
describe(sdq_lsac)## vars n mean sd median trimmed mad min max range skew kurtosis
## s1_1 1 3837 2.75 0.47 3 2.83 0.00 1 3 2 -1.57 1.44
## s2_1 2 3837 1.90 0.70 2 1.88 0.00 1 3 2 0.14 -0.96
## s3_1 3 3837 1.49 0.64 1 1.38 0.00 1 3 2 0.96 -0.17
## s4_1 4 3836 2.39 0.62 2 2.46 1.48 1 3 2 -0.51 -0.64
## s5_1 5 3837 1.45 0.63 1 1.34 0.00 1 3 2 1.09 0.08
## s6_1 6 3837 1.26 0.53 1 1.14 0.00 1 3 2 1.95 2.89
## s7_1R 7 3837 1.55 0.56 2 1.52 1.48 1 3 2 0.39 -0.83
## s8_1 8 3836 1.66 0.70 2 1.58 1.48 1 3 2 0.58 -0.83
## s9_1 9 3837 2.64 0.53 3 2.71 0.00 1 3 2 -1.09 0.14
## s10_1 10 3836 1.59 0.70 1 1.49 0.00 1 3 2 0.76 -0.65
## s11_1R 11 3837 1.11 0.36 1 1.00 0.00 1 3 2 3.54 12.63
## s12_1 12 3837 1.08 0.31 1 1.00 0.00 1 3 2 4.04 17.05
## s13_1 13 3836 1.23 0.50 1 1.12 0.00 1 3 2 2.10 3.60
## s14_1R 14 3837 1.44 0.58 1 1.37 0.00 1 3 2 0.93 -0.13
## s15_1 15 3837 1.71 0.72 2 1.64 1.48 1 3 2 0.50 -0.97
## s16_1 16 3837 1.72 0.69 2 1.65 1.48 1 3 2 0.44 -0.89
## s17_1 17 3837 2.78 0.47 3 2.87 0.00 1 3 2 -1.95 3.04
## s18_1 18 3836 1.35 0.61 1 1.23 0.00 1 3 2 1.53 1.17
## s19_1 19 3837 1.21 0.50 1 1.08 0.00 1 3 2 2.41 4.91
## s20_1 20 3836 2.19 0.65 2 2.24 0.00 1 3 2 -0.22 -0.71
## s21_1R 21 3837 1.68 0.58 2 1.66 0.00 1 3 2 0.17 -0.63
## s22_1 22 3837 1.07 0.28 1 1.00 0.00 1 3 2 4.32 19.71
## s23_1 23 3837 1.37 0.57 1 1.28 0.00 1 3 2 1.29 0.66
## s24_1 24 3837 1.41 0.61 1 1.31 0.00 1 3 2 1.20 0.37
## s25_1R 25 3837 1.75 0.63 2 1.69 0.00 1 3 2 0.26 -0.66
## se
## s1_1 0.01
## s2_1 0.01
## s3_1 0.01
## s4_1 0.01
## s5_1 0.01
## s6_1 0.01
## s7_1R 0.01
## s8_1 0.01
## s9_1 0.01
## s10_1 0.01
## s11_1R 0.01
## s12_1 0.00
## s13_1 0.01
## s14_1R 0.01
## s15_1 0.01
## s16_1 0.01
## s17_1 0.01
## s18_1 0.01
## s19_1 0.01
## s20_1 0.01
## s21_1R 0.01
## s22_1 0.00
## s23_1 0.01
## s24_1 0.01
## s25_1R 0.01Step 1
## Loading required namespace: GPArotation## Adding missing grouping variables: `item`Step 2
summary(esem_results, fit.measures = TRUE, standardized = TRUE, ci = TRUE)## lavaan 0.6-11 ended normally after 103 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 160
##
## Used Total
## Number of observations 3835 3837
##
## Model Test User Model:
## Standard Robust
## Test Statistic 673.476 1173.021
## Degrees of freedom 190 190
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 0.585
## Shift parameter 21.594
## simple second-order correction (WLSMV)
##
## Model Test Baseline Model:
##
## Test statistic 54969.048 31974.414
## Degrees of freedom 300 300
## P-value 0.000 0.000
## Scaling correction factor 1.726
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.991 0.969
## Tucker-Lewis Index (TLI) 0.986 0.951
##
## Robust Comparative Fit Index (CFI) NA
## Robust Tucker-Lewis Index (TLI) NA
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.026 0.037
## 90 Percent confidence interval - lower 0.024 0.035
## 90 Percent confidence interval - upper 0.028 0.039
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA NA
## 90 Percent confidence interval - lower NA
## 90 Percent confidence interval - upper NA
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.035 0.035
##
## Weighted Root Mean Square Residual:
##
## WRMR 1.387 1.387
##
## Parameter Estimates:
##
## Standard errors Robust.sem
## Information Expected
## Information saturated (h1) model Unstructured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## F1 =~
## s1_1 -0.171 0.037 -4.649 0.000 -0.243 -0.099
## s2_1 0.341 0.341 0.341
## s3_1 0.570 0.028 20.048 0.000 0.514 0.625
## s4_1 0.066 0.040 1.645 0.100 -0.013 0.145
## s5_1 0.657 0.031 21.009 0.000 0.596 0.718
## s6_1 0.572 0.055 10.401 0.000 0.464 0.679
## s7_1R 0.176 0.176 0.176
## s8_1 0.558 0.558 0.558
## s9_1 0.015 0.015 0.015
## s10_1 0.500 0.031 16.398 0.000 0.441 0.560
## s11_1R 0.317 0.061 5.227 0.000 0.198 0.435
## s12_1 0.573 0.046 12.525 0.000 0.484 0.663
## s13_1 0.642 0.642 0.642
## s14_1R 0.376 0.051 7.351 0.000 0.276 0.476
## s15_1 0.514 0.037 13.728 0.000 0.441 0.588
## s16_1 0.377 0.040 9.496 0.000 0.299 0.455
## s17_1 -0.008 0.036 -0.219 0.827 -0.079 0.063
## s18_1 0.737 0.042 17.494 0.000 0.655 0.820
## s19_1 0.901 0.060 15.097 0.000 0.784 1.019
## s20_1 0.298 0.051 5.896 0.000 0.199 0.397
## s21_1R 0.124 0.035 3.530 0.000 0.055 0.193
## s22_1 0.538 0.056 9.641 0.000 0.429 0.648
## s23_1 0.641 0.062 10.365 0.000 0.520 0.762
## s24_1 0.473 0.032 14.685 0.000 0.410 0.536
## s25_1R 0.160 0.045 3.560 0.000 0.072 0.248
## F2 =~
## s1_1 -0.442 0.037 -12.058 0.000 -0.514 -0.370
## s2_1 0.169 0.169 0.169
## s3_1 -0.001 0.034 -0.042 0.967 -0.068 0.065
## s4_1 -0.126 0.037 -3.444 0.001 -0.198 -0.054
## s5_1 0.167 0.043 3.899 0.000 0.083 0.251
## s6_1 -0.194 0.049 -3.955 0.000 -0.290 -0.098
## s7_1R 0.556 0.556 0.556
## s8_1 -0.106 -0.106 -0.106
## s9_1 -0.481 -0.481 -0.481
## s10_1 0.054 0.032 1.695 0.090 -0.008 0.116
## s11_1R 0.015 0.053 0.276 0.783 -0.090 0.119
## s12_1 0.256 0.059 4.370 0.000 0.141 0.372
## s13_1 0.037 0.037 0.037
## s14_1R 0.020 0.043 0.461 0.645 -0.065 0.105
## s15_1 0.402 0.033 12.226 0.000 0.338 0.467
## s16_1 0.163 0.038 4.273 0.000 0.088 0.238
## s17_1 -0.452 0.036 -12.570 0.000 -0.522 -0.381
## s18_1 0.180 0.060 3.021 0.003 0.063 0.297
## s19_1 -0.264 0.074 -3.571 0.000 -0.409 -0.119
## s20_1 -0.670 0.057 -11.819 0.000 -0.781 -0.559
## s21_1R 0.589 0.029 20.304 0.000 0.532 0.646
## s22_1 0.170 0.070 2.420 0.016 0.032 0.308
## s23_1 -0.382 0.063 -6.064 0.000 -0.506 -0.259
## s24_1 -0.049 0.033 -1.479 0.139 -0.114 0.016
## s25_1R 0.668 0.034 19.488 0.000 0.601 0.735
## F3 =~
## s1_1 0.402 0.033 12.079 0.000 0.337 0.468
## s2_1 0.021 0.021 0.021
## s3_1 0.041 0.035 1.163 0.245 -0.028 0.109
## s4_1 0.407 0.031 12.982 0.000 0.346 0.469
## s5_1 0.037 0.044 0.831 0.406 -0.050 0.124
## s6_1 -0.388 0.048 -8.120 0.000 -0.481 -0.294
## s7_1R -0.016 -0.016 -0.016
## s8_1 -0.022 -0.022 -0.022
## s9_1 0.428 0.428 0.428
## s10_1 -0.008 0.034 -0.245 0.807 -0.076 0.059
## s11_1R -0.505 0.047 -10.685 0.000 -0.598 -0.412
## s12_1 0.040 0.062 0.642 0.521 -0.082 0.162
## s13_1 -0.081 -0.081 -0.081
## s14_1R -0.502 0.034 -14.635 0.000 -0.569 -0.435
## s15_1 0.198 0.031 6.387 0.000 0.138 0.259
## s16_1 0.081 0.040 2.007 0.045 0.002 0.160
## s17_1 0.389 0.036 10.890 0.000 0.319 0.459
## s18_1 0.048 0.065 0.742 0.458 -0.079 0.175
## s19_1 -0.170 0.082 -2.071 0.038 -0.331 -0.009
## s20_1 0.201 0.069 2.917 0.004 0.066 0.336
## s21_1R -0.025 0.033 -0.774 0.439 -0.089 0.039
## s22_1 0.096 0.076 1.272 0.204 -0.052 0.245
## s23_1 -0.279 0.069 -4.029 0.000 -0.415 -0.143
## s24_1 0.050 0.034 1.493 0.135 -0.016 0.116
## s25_1R 0.070 0.040 1.761 0.078 -0.008 0.148
## F4 =~
## s1_1 0.074 0.038 1.971 0.049 0.000 0.148
## s2_1 0.630 0.630 0.630
## s3_1 -0.001 0.034 -0.016 0.987 -0.066 0.065
## s4_1 0.013 0.038 0.341 0.733 -0.062 0.088
## s5_1 -0.032 0.041 -0.779 0.436 -0.113 0.049
## s6_1 -0.012 0.063 -0.187 0.852 -0.136 0.112
## s7_1R 0.029 0.029 0.029
## s8_1 0.014 0.014 0.014
## s9_1 0.031 0.031 0.031
## s10_1 0.662 0.041 16.312 0.000 0.582 0.741
## s11_1R -0.117 0.063 -1.871 0.061 -0.240 0.006
## s12_1 -0.069 0.058 -1.192 0.233 -0.182 0.044
## s13_1 -0.093 -0.093 -0.093
## s14_1R -0.024 0.052 -0.463 0.643 -0.126 0.078
## s15_1 0.248 0.038 6.497 0.000 0.173 0.323
## s16_1 0.021 0.044 0.482 0.630 -0.066 0.108
## s17_1 -0.075 0.037 -1.997 0.046 -0.148 -0.001
## s18_1 -0.120 0.060 -2.008 0.045 -0.237 -0.003
## s19_1 -0.232 0.087 -2.677 0.007 -0.401 -0.062
## s20_1 -0.186 0.069 -2.697 0.007 -0.321 -0.051
## s21_1R 0.136 0.036 3.744 0.000 0.065 0.207
## s22_1 -0.142 0.066 -2.138 0.032 -0.271 -0.012
## s23_1 -0.130 0.081 -1.597 0.110 -0.289 0.029
## s24_1 -0.019 0.033 -0.591 0.554 -0.083 0.045
## s25_1R 0.151 0.049 3.070 0.002 0.055 0.248
## F5 =~
## s1_1 0.196 0.043 4.535 0.000 0.111 0.281
## s2_1 0.008 0.008 0.008
## s3_1 0.027 0.039 0.697 0.486 -0.050 0.105
## s4_1 -0.013 0.051 -0.252 0.801 -0.112 0.087
## s5_1 -0.125 0.044 -2.855 0.004 -0.210 -0.039
## s6_1 -0.079 0.065 -1.205 0.228 -0.207 0.049
## s7_1R -0.096 -0.096 -0.096
## s8_1 0.370 0.370 0.370
## s9_1 0.011 0.011 0.011
## s10_1 -0.023 0.038 -0.618 0.536 -0.098 0.051
## s11_1R -0.064 0.072 -0.882 0.378 -0.205 0.078
## s12_1 -0.290 0.061 -4.754 0.000 -0.409 -0.170
## s13_1 0.020 0.020 0.020
## s14_1R -0.011 0.061 -0.185 0.853 -0.131 0.108
## s15_1 0.017 0.047 0.361 0.718 -0.076 0.110
## s16_1 0.416 0.044 9.359 0.000 0.329 0.503
## s17_1 -0.006 0.046 -0.132 0.895 -0.097 0.085
## s18_1 -0.326 0.054 -5.989 0.000 -0.433 -0.220
## s19_1 -0.348 0.069 -5.045 0.000 -0.483 -0.213
## s20_1 -0.344 0.056 -6.146 0.000 -0.454 -0.235
## s21_1R 0.018 0.043 0.423 0.672 -0.066 0.103
## s22_1 -0.400 0.066 -6.023 0.000 -0.530 -0.270
## s23_1 -0.278 0.071 -3.890 0.000 -0.418 -0.138
## s24_1 0.308 0.041 7.541 0.000 0.228 0.389
## s25_1R 0.128 0.052 2.479 0.013 0.027 0.230
## Std.lv Std.all
##
## -0.171 -0.171
## 0.341 0.341
## 0.570 0.570
## 0.066 0.066
## 0.657 0.657
## 0.572 0.572
## 0.176 0.176
## 0.558 0.558
## 0.015 0.015
## 0.500 0.500
## 0.317 0.317
## 0.573 0.573
## 0.642 0.642
## 0.376 0.376
## 0.514 0.514
## 0.377 0.377
## -0.008 -0.008
## 0.737 0.737
## 0.901 0.901
## 0.298 0.298
## 0.124 0.124
## 0.538 0.538
## 0.641 0.641
## 0.473 0.473
## 0.160 0.160
##
## -0.442 -0.442
## 0.169 0.169
## -0.001 -0.001
## -0.126 -0.126
## 0.167 0.167
## -0.194 -0.194
## 0.556 0.556
## -0.106 -0.106
## -0.481 -0.481
## 0.054 0.054
## 0.015 0.015
## 0.256 0.256
## 0.037 0.037
## 0.020 0.020
## 0.402 0.402
## 0.163 0.163
## -0.452 -0.452
## 0.180 0.180
## -0.264 -0.264
## -0.670 -0.670
## 0.589 0.589
## 0.170 0.170
## -0.382 -0.382
## -0.049 -0.049
## 0.668 0.668
##
## 0.402 0.402
## 0.021 0.021
## 0.041 0.041
## 0.407 0.407
## 0.037 0.037
## -0.388 -0.388
## -0.016 -0.016
## -0.022 -0.022
## 0.428 0.428
## -0.008 -0.008
## -0.505 -0.505
## 0.040 0.040
## -0.081 -0.081
## -0.502 -0.502
## 0.198 0.198
## 0.081 0.081
## 0.389 0.389
## 0.048 0.048
## -0.170 -0.170
## 0.201 0.201
## -0.025 -0.025
## 0.096 0.096
## -0.279 -0.279
## 0.050 0.050
## 0.070 0.070
##
## 0.074 0.074
## 0.630 0.630
## -0.001 -0.001
## 0.013 0.013
## -0.032 -0.032
## -0.012 -0.012
## 0.029 0.029
## 0.014 0.014
## 0.031 0.031
## 0.662 0.662
## -0.117 -0.117
## -0.069 -0.069
## -0.093 -0.093
## -0.024 -0.024
## 0.248 0.248
## 0.021 0.021
## -0.075 -0.075
## -0.120 -0.120
## -0.232 -0.232
## -0.186 -0.186
## 0.136 0.136
## -0.142 -0.142
## -0.130 -0.130
## -0.019 -0.019
## 0.151 0.151
##
## 0.196 0.196
## 0.008 0.008
## 0.027 0.027
## -0.013 -0.013
## -0.125 -0.125
## -0.079 -0.079
## -0.096 -0.096
## 0.370 0.370
## 0.011 0.011
## -0.023 -0.023
## -0.064 -0.064
## -0.290 -0.290
## 0.020 0.020
## -0.011 -0.011
## 0.017 0.017
## 0.416 0.416
## -0.006 -0.006
## -0.326 -0.326
## -0.348 -0.348
## -0.344 -0.344
## 0.018 0.018
## -0.400 -0.400
## -0.278 -0.278
## 0.308 0.308
## 0.128 0.128
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## F1 ~~
## F2 0.218 0.048 4.495 0.000 0.123 0.313
## F3 -0.049 0.073 -0.673 0.501 -0.194 0.095
## F4 0.135 0.047 2.901 0.004 0.044 0.227
## F5 0.382 0.050 7.565 0.000 0.283 0.481
## F2 ~~
## F3 -0.342 0.049 -7.029 0.000 -0.437 -0.246
## F4 0.021 0.053 0.396 0.692 -0.083 0.125
## F5 -0.306 0.073 -4.190 0.000 -0.449 -0.163
## F3 ~~
## F4 0.181 0.077 2.358 0.018 0.031 0.331
## F5 0.038 0.104 0.370 0.711 -0.165 0.242
## F4 ~~
## F5 -0.209 0.085 -2.464 0.014 -0.375 -0.043
## Std.lv Std.all
##
## 0.218 0.218
## -0.049 -0.049
## 0.135 0.135
## 0.382 0.382
##
## -0.342 -0.342
## 0.021 0.021
## -0.306 -0.306
##
## 0.181 0.181
## 0.038 0.038
##
## -0.209 -0.209
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .s1_1 0.000 0.000 0.000
## .s2_1 0.000 0.000 0.000
## .s3_1 0.000 0.000 0.000
## .s4_1 0.000 0.000 0.000
## .s5_1 0.000 0.000 0.000
## .s6_1 0.000 0.000 0.000
## .s7_1R 0.000 0.000 0.000
## .s8_1 0.000 0.000 0.000
## .s9_1 0.000 0.000 0.000
## .s10_1 0.000 0.000 0.000
## .s11_1R 0.000 0.000 0.000
## .s12_1 0.000 0.000 0.000
## .s13_1 0.000 0.000 0.000
## .s14_1R 0.000 0.000 0.000
## .s15_1 0.000 0.000 0.000
## .s16_1 0.000 0.000 0.000
## .s17_1 0.000 0.000 0.000
## .s18_1 0.000 0.000 0.000
## .s19_1 0.000 0.000 0.000
## .s20_1 0.000 0.000 0.000
## .s21_1R 0.000 0.000 0.000
## .s22_1 0.000 0.000 0.000
## .s23_1 0.000 0.000 0.000
## .s24_1 0.000 0.000 0.000
## .s25_1R 0.000 0.000 0.000
## F1 0.000 0.000 0.000
## F2 0.000 0.000 0.000
## F3 0.000 0.000 0.000
## F4 0.000 0.000 0.000
## F5 0.000 0.000 0.000
## Std.lv Std.all
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
##
## Thresholds:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## s1_1|t1 -2.181 0.052 -41.650 0.000 -2.283 -2.078
## s1_1|t2 -0.719 0.022 -32.303 0.000 -0.763 -0.676
## s2_1|t1 -0.527 0.021 -24.744 0.000 -0.569 -0.485
## s2_1|t2 0.842 0.023 36.469 0.000 0.796 0.887
## s3_1|t1 0.237 0.020 11.565 0.000 0.196 0.277
## s3_1|t2 1.403 0.029 47.654 0.000 1.345 1.461
## s4_1|t1 -1.463 0.030 -48.024 0.000 -1.523 -1.403
## s4_1|t2 0.083 0.020 4.084 0.000 0.043 0.123
## s5_1|t1 0.321 0.021 15.552 0.000 0.280 0.361
## s5_1|t2 1.437 0.030 47.883 0.000 1.378 1.496
## s6_1|t1 0.794 0.023 34.917 0.000 0.750 0.839
## s6_1|t2 1.700 0.035 47.972 0.000 1.630 1.769
## s7_1R|t1 -0.040 0.020 -1.953 0.051 -0.079 0.000
## s7_1R|t2 1.806 0.038 47.219 0.000 1.731 1.881
## s8_1|t1 -0.068 0.020 -3.374 0.001 -0.108 -0.029
## s8_1|t2 1.109 0.025 43.509 0.000 1.059 1.159
## s9_1|t1 -1.951 0.043 -45.556 0.000 -2.034 -1.867
## s9_1|t2 -0.432 0.021 -20.611 0.000 -0.473 -0.391
## s10_1|t1 0.083 0.020 4.116 0.000 0.044 0.123
## s10_1|t2 1.152 0.026 44.363 0.000 1.101 1.203
## s11_1R|t1 1.338 0.028 47.071 0.000 1.282 1.393
## s11_1R|t2 2.128 0.050 42.669 0.000 2.030 2.225
## s12_1|t1 1.469 0.031 48.051 0.000 1.409 1.529
## s12_1|t2 2.340 0.061 38.280 0.000 2.220 2.460
## s13_1|t1 0.861 0.023 37.088 0.000 0.816 0.907
## s13_1|t2 1.816 0.039 47.126 0.000 1.741 1.892
## s14_1R|t1 0.274 0.021 13.367 0.000 0.234 0.315
## s14_1R|t2 1.705 0.036 47.943 0.000 1.636 1.775
## s15_1|t1 -0.129 0.020 -6.343 0.000 -0.169 -0.089
## s15_1|t2 0.995 0.024 40.878 0.000 0.947 1.043
## s16_1|t1 -0.203 0.020 -9.954 0.000 -0.243 -0.163
## s16_1|t2 1.077 0.025 42.823 0.000 1.027 1.126
## s17_1|t1 -2.026 0.046 -44.429 0.000 -2.115 -1.937
## s17_1|t2 -0.839 0.023 -36.380 0.000 -0.884 -0.794
## s18_1|t1 0.581 0.022 26.984 0.000 0.539 0.623
## s18_1|t2 1.463 0.030 48.024 0.000 1.403 1.523
## s19_1|t1 0.984 0.024 40.603 0.000 0.937 1.032
## s19_1|t2 1.700 0.035 47.972 0.000 1.630 1.769
## s20_1|t1 -1.111 0.026 -43.558 0.000 -1.161 -1.061
## s20_1|t2 0.449 0.021 21.376 0.000 0.408 0.490
## s21_1R|t1 -0.317 0.021 -15.391 0.000 -0.358 -0.277
## s21_1R|t2 1.568 0.032 48.291 0.000 1.505 1.632
## s22_1|t1 1.533 0.032 48.255 0.000 1.471 1.596
## s22_1|t2 2.417 0.066 36.506 0.000 2.287 2.547
## s23_1|t1 0.466 0.021 22.109 0.000 0.424 0.507
## s23_1|t2 1.662 0.035 48.134 0.000 1.594 1.730
## s24_1|t1 0.396 0.021 19.013 0.000 0.355 0.437
## s24_1|t2 1.525 0.032 48.238 0.000 1.463 1.587
## s25_1R|t1 -0.364 0.021 -17.573 0.000 -0.405 -0.324
## s25_1R|t2 1.249 0.027 45.967 0.000 1.196 1.302
## Std.lv Std.all
## -2.181 -2.181
## -0.719 -0.719
## -0.527 -0.527
## 0.842 0.842
## 0.237 0.237
## 1.403 1.403
## -1.463 -1.463
## 0.083 0.083
## 0.321 0.321
## 1.437 1.437
## 0.794 0.794
## 1.700 1.700
## -0.040 -0.040
## 1.806 1.806
## -0.068 -0.068
## 1.109 1.109
## -1.951 -1.951
## -0.432 -0.432
## 0.083 0.083
## 1.152 1.152
## 1.338 1.338
## 2.128 2.128
## 1.469 1.469
## 2.340 2.340
## 0.861 0.861
## 1.816 1.816
## 0.274 0.274
## 1.705 1.705
## -0.129 -0.129
## 0.995 0.995
## -0.203 -0.203
## 1.077 1.077
## -2.026 -2.026
## -0.839 -0.839
## 0.581 0.581
## 1.463 1.463
## 0.984 0.984
## 1.700 1.700
## -1.111 -1.111
## 0.449 0.449
## -0.317 -0.317
## 1.568 1.568
## 1.533 1.533
## 2.417 2.417
## 0.466 0.466
## 1.662 1.662
## 0.396 0.396
## 1.525 1.525
## -0.364 -0.364
## 1.249 1.249
##
## Variances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .s1_1 0.374 0.374 0.374
## .s2_1 0.369 0.369 0.369
## .s3_1 0.664 0.664 0.664
## .s4_1 0.785 0.785 0.785
## .s5_1 0.539 0.539 0.539
## .s6_1 0.599 0.599 0.599
## .s7_1R 0.577 0.577 0.577
## .s8_1 0.386 0.386 0.386
## .s9_1 0.440 0.440 0.440
## .s10_1 0.208 0.208 0.208
## .s11_1R 0.608 0.608 0.608
## .s12_1 0.563 0.563 0.563
## .s13_1 0.557 0.557 0.557
## .s14_1R 0.578 0.578 0.578
## .s15_1 0.389 0.389 0.389
## .s16_1 0.556 0.556 0.556
## .s17_1 0.528 0.528 0.528
## .s18_1 0.445 0.445 0.445
## .s19_1 0.397 0.397 0.397
## .s20_1 0.545 0.545 0.545
## .s21_1R 0.575 0.575 0.575
## .s22_1 0.644 0.644 0.644
## .s23_1 0.650 0.650 0.650
## .s24_1 0.565 0.565 0.565
## .s25_1R 0.500 0.500 0.500
## F1 1.000 1.000 1.000
## F2 1.000 1.000 1.000
## F3 1.000 1.000 1.000
## F4 1.000 1.000 1.000
## F5 1.000 1.000 1.000
## Std.lv Std.all
## 0.374 0.374
## 0.369 0.369
## 0.664 0.664
## 0.785 0.785
## 0.539 0.539
## 0.599 0.599
## 0.577 0.577
## 0.386 0.386
## 0.440 0.440
## 0.208 0.208
## 0.608 0.608
## 0.563 0.563
## 0.557 0.557
## 0.578 0.578
## 0.389 0.389
## 0.556 0.556
## 0.528 0.528
## 0.445 0.445
## 0.397 0.397
## 0.545 0.545
## 0.575 0.575
## 0.644 0.644
## 0.650 0.650
## 0.565 0.565
## 0.500 0.500
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
##
## Scales y*:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## s1_1 1.000 1.000 1.000
## s2_1 1.000 1.000 1.000
## s3_1 1.000 1.000 1.000
## s4_1 1.000 1.000 1.000
## s5_1 1.000 1.000 1.000
## s6_1 1.000 1.000 1.000
## s7_1R 1.000 1.000 1.000
## s8_1 1.000 1.000 1.000
## s9_1 1.000 1.000 1.000
## s10_1 1.000 1.000 1.000
## s11_1R 1.000 1.000 1.000
## s12_1 1.000 1.000 1.000
## s13_1 1.000 1.000 1.000
## s14_1R 1.000 1.000 1.000
## s15_1 1.000 1.000 1.000
## s16_1 1.000 1.000 1.000
## s17_1 1.000 1.000 1.000
## s18_1 1.000 1.000 1.000
## s19_1 1.000 1.000 1.000
## s20_1 1.000 1.000 1.000
## s21_1R 1.000 1.000 1.000
## s22_1 1.000 1.000 1.000
## s23_1 1.000 1.000 1.000
## s24_1 1.000 1.000 1.000
## s25_1R 1.000 1.000 1.000
## Std.lv Std.all
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000Step 3
semPaths(esem_results,whatLabels = "std",layout = "tree")