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## %+%, alpha## Registered S3 methods overwritten by 'huge':
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## 320 617 968 1056## lavaan 0.6-6 ended normally after 73 iterations
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## Estimator ML
## Optimization method NLMINB
## Number of free parameters 56
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## Used Total
## Number of observations 1956 1960
## Number of clusters [id] 1960
## Number of missing patterns 48
##
## Model Test User Model:
## Standard Robust
## Test Statistic 514.080 452.027
## Degrees of freedom 79 79
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.137
## Yuan-Bentler correction (Mplus variant)
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## Model Test Baseline Model:
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## Test statistic 10004.298 7917.842
## Degrees of freedom 105 105
## P-value 0.000 0.000
## Scaling correction factor 1.264
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## User Model versus Baseline Model:
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## Comparative Fit Index (CFI) 0.956 0.952
## Tucker-Lewis Index (TLI) 0.942 0.937
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## Robust Comparative Fit Index (CFI) 0.957
## Robust Tucker-Lewis Index (TLI) 0.943
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## Loglikelihood and Information Criteria:
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## Loglikelihood user model (H0) -40488.545 -40488.545
## Scaling correction factor 1.302
## for the MLR correction
## Loglikelihood unrestricted model (H1) -40231.505 -40231.505
## Scaling correction factor 1.206
## for the MLR correction
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## Akaike (AIC) 81089.090 81089.090
## Bayesian (BIC) 81401.495 81401.495
## Sample-size adjusted Bayesian (BIC) 81223.581 81223.581
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## Root Mean Square Error of Approximation:
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## RMSEA 0.053 0.049
## 90 Percent confidence interval - lower 0.049 0.045
## 90 Percent confidence interval - upper 0.057 0.053
## P-value RMSEA <= 0.05 0.120 0.627
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## Robust RMSEA 0.052
## 90 Percent confidence interval - lower 0.048
## 90 Percent confidence interval - upper 0.057
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## Standardized Root Mean Square Residual:
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## SRMR 0.034 0.034
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## Parameter Estimates:
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## Standard errors Robust.cluster
## Information Observed
## Observed information based on Hessian
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## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## util_1 =~
## util4w1 1.000 0.610 0.638
## util5w1 0.942 0.057 16.598 0.000 0.574 0.601
## util6w1 1.096 0.075 14.670 0.000 0.668 0.533
## util_2 =~
## util4w2 1.000 0.856 0.723
## util5w2 0.864 0.037 23.112 0.000 0.740 0.677
## util6w2 0.917 0.047 19.414 0.000 0.785 0.626
## util_3 =~
## util4w3 1.000 1.024 0.773
## util5w3 0.952 0.034 27.652 0.000 0.975 0.791
## util6w3 0.836 0.044 18.833 0.000 0.856 0.664
## sb_cc_1 =~
## sbcc1w1 1.000 1.459 0.869
## sbcc2w1 0.964 0.031 31.031 0.000 1.407 0.843
## sb_cc_2 =~
## sbcc1w2 1.000 1.474 0.848
## sbcc2w2 1.001 0.028 35.444 0.000 1.476 0.839
## sb_cc_3 =~
## sbcc1w3 1.000 1.474 0.848
## sbcc2w3 1.017 0.033 31.034 0.000 1.500 0.870
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## util_2 ~
## util_1 1.002 0.063 15.832 0.000 0.714 0.714
## sb_cc_1 -0.008 0.019 -0.397 0.691 -0.013 -0.013
## sb_cc_2 ~
## util_1 0.016 0.069 0.230 0.818 0.007 0.007
## sb_cc_1 0.699 0.030 23.303 0.000 0.692 0.692
## util_3 ~
## util_2 0.802 0.049 16.360 0.000 0.671 0.671
## sb_cc_2 0.078 0.022 3.578 0.000 0.112 0.112
## sb_cc_3 ~
## util_2 0.088 0.055 1.614 0.107 0.051 0.051
## sb_cc_2 0.702 0.034 20.923 0.000 0.702 0.702
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## util_1 ~~
## sb_cc_1 0.251 0.030 8.456 0.000 0.282 0.282
## .util_2 ~~
## .sb_cc_2 0.186 0.033 5.689 0.000 0.290 0.290
## .util_3 ~~
## .sb_cc_3 0.174 0.040 4.380 0.000 0.236 0.236
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .util4w1 6.140 0.022 279.411 0.000 6.140 6.422
## .util5w1 5.746 0.022 261.480 0.000 5.746 6.011
## .util6w1 5.263 0.029 182.569 0.000 5.263 4.193
## .util4w2 5.808 0.027 211.410 0.000 5.808 4.903
## .util5w2 5.727 0.025 224.983 0.000 5.727 5.234
## .util6w2 5.166 0.029 176.796 0.000 5.166 4.120
## .util4w3 5.383 0.033 163.453 0.000 5.383 4.065
## .util5w3 5.392 0.031 175.216 0.000 5.392 4.379
## .util6w3 4.855 0.032 153.018 0.000 4.855 3.768
## .sbcc1w1 3.716 0.038 96.573 0.000 3.716 2.212
## .sbcc2w1 4.092 0.038 106.889 0.000 4.092 2.452
## .sbcc1w2 3.810 0.040 94.757 0.000 3.810 2.193
## .sbcc2w2 4.101 0.041 100.623 0.000 4.101 2.332
## .sbcc1w3 3.908 0.043 91.684 0.000 3.908 2.248
## .sbcc2w3 4.009 0.042 94.917 0.000 4.009 2.324
## util_1 0.000 0.000 0.000
## .util_2 0.000 0.000 0.000
## .util_3 0.000 0.000 0.000
## sb_cc_1 0.000 0.000 0.000
## .sb_cc_2 0.000 0.000 0.000
## .sb_cc_3 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .util4w1 0.542 0.028 19.495 0.000 0.542 0.593
## .util5w1 0.584 0.026 22.287 0.000 0.584 0.639
## .util6w1 1.129 0.081 13.870 0.000 1.129 0.716
## .util4w2 0.670 0.040 16.818 0.000 0.670 0.477
## .util5w2 0.649 0.039 16.587 0.000 0.649 0.542
## .util6w2 0.956 0.069 13.885 0.000 0.956 0.608
## .util4w3 0.705 0.049 14.496 0.000 0.705 0.402
## .util5w3 0.567 0.038 14.746 0.000 0.567 0.374
## .util6w3 0.928 0.078 11.905 0.000 0.928 0.559
## .sbcc1w1 0.690 0.075 9.190 0.000 0.690 0.245
## .sbcc2w1 0.805 0.067 12.064 0.000 0.805 0.289
## .sbcc1w2 0.845 0.073 11.619 0.000 0.845 0.280
## .sbcc2w2 0.916 0.074 12.367 0.000 0.916 0.296
## .sbcc1w3 0.851 0.086 9.914 0.000 0.851 0.281
## .sbcc2w3 0.725 0.082 8.802 0.000 0.725 0.244
## util_1 0.372 0.033 11.163 0.000 1.000 1.000
## .util_2 0.364 0.044 8.272 0.000 0.496 0.496
## .util_3 0.519 0.056 9.240 0.000 0.495 0.495
## sb_cc_1 2.130 0.100 21.201 0.000 1.000 1.000
## .sb_cc_2 1.126 0.080 14.040 0.000 0.519 0.519
## .sb_cc_3 1.053 0.081 13.074 0.000 0.485 0.485## lhs op rhs est.std se z pvalue ci.lower ci.upper
## 1 util_1 =~ util4w1 0.638 0.023 27.648 0.000 0.593 0.683
## 2 util_1 =~ util5w1 0.601 0.023 25.984 0.000 0.556 0.646
## 3 util_1 =~ util6w1 0.533 0.028 18.977 0.000 0.478 0.588
## 4 util_2 =~ util4w2 0.723 0.019 37.675 0.000 0.685 0.761
## 5 util_2 =~ util5w2 0.677 0.023 29.275 0.000 0.631 0.722
## 6 util_2 =~ util6w2 0.626 0.026 24.402 0.000 0.576 0.677
## 7 util_3 =~ util4w3 0.773 0.018 42.587 0.000 0.738 0.809
## 8 util_3 =~ util5w3 0.791 0.018 44.835 0.000 0.757 0.826
## 9 util_3 =~ util6w3 0.664 0.028 23.398 0.000 0.609 0.720
## 10 sb_cc_1 =~ sbcc1w1 0.869 0.015 56.277 0.000 0.839 0.899
## 11 sb_cc_1 =~ sbcc2w1 0.843 0.014 58.394 0.000 0.815 0.871
## 12 sb_cc_2 =~ sbcc1w2 0.848 0.015 58.428 0.000 0.820 0.877
## 13 sb_cc_2 =~ sbcc2w2 0.839 0.015 57.844 0.000 0.811 0.867
## 14 sb_cc_3 =~ sbcc1w3 0.848 0.017 50.478 0.000 0.815 0.881
## 15 sb_cc_3 =~ sbcc2w3 0.870 0.016 54.214 0.000 0.838 0.901
## 16 util_2 ~ util_1 0.714 0.032 22.465 0.000 0.651 0.776
## 17 util_2 ~ sb_cc_1 -0.013 0.033 -0.398 0.691 -0.077 0.051
## 18 sb_cc_2 ~ util_1 0.007 0.028 0.230 0.818 -0.049 0.062
## 19 sb_cc_2 ~ sb_cc_1 0.692 0.023 30.627 0.000 0.648 0.736
## 20 util_3 ~ util_2 0.671 0.033 20.391 0.000 0.606 0.735
## 21 util_3 ~ sb_cc_2 0.112 0.031 3.624 0.000 0.051 0.172
## 22 sb_cc_3 ~ util_2 0.051 0.032 1.613 0.107 -0.011 0.114
## 23 sb_cc_3 ~ sb_cc_2 0.702 0.023 30.012 0.000 0.656 0.748
## 24 util_1 ~~ sb_cc_1 0.282 0.031 9.149 0.000 0.221 0.342
## 25 util_2 ~~ sb_cc_2 0.290 0.047 6.156 0.000 0.198 0.383
## 26 util_3 ~~ sb_cc_3 0.236 0.048 4.877 0.000 0.141 0.331
## 27 util4w1 ~~ util4w1 0.593 0.029 20.164 0.000 0.536 0.651
## 28 util5w1 ~~ util5w1 0.639 0.028 22.989 0.000 0.584 0.693
## 29 util6w1 ~~ util6w1 0.716 0.030 23.963 0.000 0.658 0.775
## 30 util4w2 ~~ util4w2 0.477 0.028 17.197 0.000 0.423 0.532
## 31 util5w2 ~~ util5w2 0.542 0.031 17.334 0.000 0.481 0.603
## 32 util6w2 ~~ util6w2 0.608 0.032 18.912 0.000 0.545 0.671
## 33 util4w3 ~~ util4w3 0.402 0.028 14.320 0.000 0.347 0.457
## 34 util5w3 ~~ util5w3 0.374 0.028 13.378 0.000 0.319 0.428
## 35 util6w3 ~~ util6w3 0.559 0.038 14.814 0.000 0.485 0.633
## 36 sbcc1w1 ~~ sbcc1w1 0.245 0.027 9.120 0.000 0.192 0.297
## 37 sbcc2w1 ~~ sbcc2w1 0.289 0.024 11.870 0.000 0.241 0.337
## 38 sbcc1w2 ~~ sbcc1w2 0.280 0.025 11.371 0.000 0.232 0.328
## 39 sbcc2w2 ~~ sbcc2w2 0.296 0.024 12.163 0.000 0.248 0.344
## 40 sbcc1w3 ~~ sbcc1w3 0.281 0.028 9.885 0.000 0.226 0.337
## 41 sbcc2w3 ~~ sbcc2w3 0.244 0.028 8.739 0.000 0.189 0.298
## 42 util_1 ~~ util_1 1.000 0.000 NA NA 1.000 1.000
## 43 util_2 ~~ util_2 0.496 0.041 12.061 0.000 0.415 0.576
## 44 util_3 ~~ util_3 0.495 0.040 12.245 0.000 0.416 0.574
## 45 sb_cc_1 ~~ sb_cc_1 1.000 0.000 NA NA 1.000 1.000
## 46 sb_cc_2 ~~ sb_cc_2 0.519 0.028 18.282 0.000 0.463 0.574
## 47 sb_cc_3 ~~ sb_cc_3 0.485 0.030 16.317 0.000 0.426 0.543
## 48 util4w1 ~1 6.422 0.128 50.190 0.000 6.171 6.672
## 49 util5w1 ~1 6.011 0.092 65.016 0.000 5.829 6.192
## 50 util6w1 ~1 4.193 0.103 40.895 0.000 3.992 4.394
## 51 util4w2 ~1 4.903 0.112 43.830 0.000 4.683 5.122
## 52 util5w2 ~1 5.234 0.117 44.800 0.000 5.005 5.463
## 53 util6w2 ~1 4.120 0.089 46.309 0.000 3.946 4.295
## 54 util4w3 ~1 4.065 0.093 43.654 0.000 3.882 4.247
## 55 util5w3 ~1 4.379 0.104 42.291 0.000 4.176 4.582
## 56 util6w3 ~1 3.768 0.086 43.864 0.000 3.600 3.937
## 57 sbcc1w1 ~1 2.212 0.033 66.094 0.000 2.147 2.278
## 58 sbcc2w1 ~1 2.452 0.038 64.826 0.000 2.378 2.526
## 59 sbcc1w2 ~1 2.193 0.035 63.394 0.000 2.126 2.261
## 60 sbcc2w2 ~1 2.332 0.038 61.488 0.000 2.258 2.406
## 61 sbcc1w3 ~1 2.248 0.039 57.240 0.000 2.171 2.325
## 62 sbcc2w3 ~1 2.324 0.042 55.939 0.000 2.243 2.406
## 63 util_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 64 util_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 65 util_3 ~1 0.000 0.000 NA NA 0.000 0.000
## 66 sb_cc_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 67 sb_cc_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 68 sb_cc_3 ~1 0.000 0.000 NA NA 0.000 0.000## Warning in lav_data_full(data = data, group = group, cluster = cluster, : lavaan WARNING: some cases are empty and will be ignored:
## 320 617 968 1056## lavaan 0.6-6 ended normally after 84 iterations
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## Estimator ML
## Optimization method NLMINB
## Number of free parameters 86
##
## Used Total
## Number of observations 1956 1960
## Number of missing patterns 64
##
## Model Test User Model:
##
## Test statistic 1444.174
## Degrees of freedom 238
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 16179.096
## Degrees of freedom 276
## P-value 0.000
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## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.924
## Tucker-Lewis Index (TLI) 0.912
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -70904.070
## Loglikelihood unrestricted model (H1) -70181.983
##
## Akaike (AIC) 141980.141
## Bayesian (BIC) 142459.905
## Sample-size adjusted Bayesian (BIC) 142186.680
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.051
## 90 Percent confidence interval - lower 0.048
## 90 Percent confidence interval - upper 0.053
## P-value RMSEA <= 0.05 0.274
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## Standardized Root Mean Square Residual:
##
## SRMR 0.044
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## util_1 =~
## util4w1 1.000 0.607 0.634
## util5w1 0.965 0.057 17.061 0.000 0.585 0.612
## util6w1 1.086 0.070 15.586 0.000 0.659 0.525
## util_2 =~
## util4w2 1.000 0.862 0.728
## util5w2 0.863 0.037 23.287 0.000 0.745 0.680
## util6w2 0.896 0.042 21.466 0.000 0.773 0.616
## util_3 =~
## util4w3 1.000 1.021 0.771
## util5w3 0.964 0.036 26.532 0.000 0.984 0.799
## util6w3 0.830 0.037 22.597 0.000 0.848 0.658
## sb_ps_1 =~
## sbps1w1 1.000 1.266 0.639
## sbps2w1 1.064 0.042 25.371 0.000 1.347 0.729
## sbps3w1 1.276 0.047 27.311 0.000 1.616 0.840
## sbiso1w1 -0.989 0.045 -21.856 0.000 -1.252 -0.607
## sbiso2w1 -0.819 0.039 -21.093 0.000 -1.037 -0.586
## sb_ps_2 =~
## sbps1w2 1.000 1.105 0.652
## sbps2w2 1.248 0.046 26.932 0.000 1.380 0.774
## sbps3w2 1.344 0.048 28.081 0.000 1.486 0.824
## sbiso1w2 -1.126 0.051 -22.002 0.000 -1.245 -0.607
## sbiso2w2 -1.046 0.048 -21.576 0.000 -1.156 -0.598
## sb_ps_3 =~
## sbps1w3 1.000 1.268 0.742
## sbps2w3 1.123 0.037 30.212 0.000 1.424 0.802
## sbps3w3 1.216 0.037 32.641 0.000 1.542 0.878
## sbiso1w3 -0.764 0.042 -18.173 0.000 -0.969 -0.489
## sbiso2w3 -0.659 0.039 -16.714 0.000 -0.836 -0.450
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## util_2 ~
## util_1 1.009 0.063 16.146 0.000 0.710 0.710
## sb_ps_1 -0.009 0.019 -0.453 0.651 -0.013 -0.013
## sb_ps_2 ~
## util_1 0.161 0.052 3.076 0.002 0.088 0.088
## sb_ps_1 0.533 0.030 17.530 0.000 0.611 0.611
## util_3 ~
## util_2 0.817 0.045 18.075 0.000 0.690 0.690
## sb_ps_2 0.038 0.026 1.457 0.145 0.041 0.041
## sb_ps_3 ~
## util_2 0.152 0.042 3.579 0.000 0.103 0.103
## sb_ps_2 0.752 0.040 18.806 0.000 0.655 0.655
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## util_1 ~~
## sb_ps_1 0.138 0.025 5.485 0.000 0.180 0.180
## .util_2 ~~
## .sb_ps_2 0.105 0.023 4.538 0.000 0.201 0.201
## .util_3 ~~
## .sb_ps_3 0.213 0.030 7.211 0.000 0.318 0.318
## .sbiso1w1 ~~
## .sbiso2w1 0.347 0.063 5.516 0.000 0.347 0.148
## .sbiso1w2 ~~
## .sbiso2w2 0.904 0.072 12.624 0.000 0.904 0.358
## .sbiso1w3 ~~
## .sbiso2w3 1.368 0.085 16.093 0.000 1.368 0.476
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .util4w1 6.140 0.022 279.662 0.000 6.140 6.422
## .util5w1 5.746 0.022 261.662 0.000 5.746 6.011
## .util6w1 5.263 0.029 182.535 0.000 5.263 4.193
## .util4w2 5.807 0.027 211.257 0.000 5.807 4.902
## .util5w2 5.727 0.025 225.206 0.000 5.727 5.234
## .util6w2 5.166 0.029 177.113 0.000 5.166 4.120
## .util4w3 5.382 0.033 163.990 0.000 5.382 4.064
## .util5w3 5.391 0.030 176.840 0.000 5.391 4.377
## .util6w3 4.854 0.032 151.068 0.000 4.854 3.768
## .sbps1w1 4.878 0.046 107.100 0.000 4.878 2.461
## .sbps2w1 4.208 0.042 99.105 0.000 4.208 2.278
## .sbps3w1 4.192 0.044 94.931 0.000 4.192 2.179
## .sbiso1w1 4.084 0.047 86.128 0.000 4.084 1.979
## .sbiso2w1 3.512 0.041 86.237 0.000 3.512 1.983
## .sbps1w2 5.526 0.039 140.246 0.000 5.526 3.261
## .sbps2w2 4.815 0.041 116.418 0.000 4.815 2.700
## .sbps3w2 4.903 0.042 117.386 0.000 4.903 2.720
## .sbiso1w2 3.413 0.048 71.548 0.000 3.413 1.665
## .sbiso2w2 3.410 0.045 75.643 0.000 3.410 1.763
## .sbps1w3 5.288 0.043 124.291 0.000 5.288 3.093
## .sbps2w3 4.649 0.044 105.518 0.000 4.649 2.618
## .sbps3w3 4.908 0.043 113.211 0.000 4.908 2.795
## .sbiso1w3 3.452 0.050 69.020 0.000 3.452 1.740
## .sbiso2w3 3.652 0.047 77.777 0.000 3.652 1.965
## util_1 0.000 0.000 0.000
## .util_2 0.000 0.000 0.000
## .util_3 0.000 0.000 0.000
## sb_ps_1 0.000 0.000 0.000
## .sb_ps_2 0.000 0.000 0.000
## .sb_ps_3 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .util4w1 0.546 0.026 20.880 0.000 0.546 0.597
## .util5w1 0.571 0.026 21.870 0.000 0.571 0.625
## .util6w1 1.142 0.045 25.287 0.000 1.142 0.725
## .util4w2 0.659 0.033 20.052 0.000 0.659 0.470
## .util5w2 0.643 0.029 22.407 0.000 0.643 0.537
## .util6w2 0.975 0.039 24.735 0.000 0.975 0.620
## .util4w3 0.711 0.039 18.321 0.000 0.711 0.405
## .util5w3 0.549 0.033 16.473 0.000 0.549 0.362
## .util6w3 0.941 0.041 23.043 0.000 0.941 0.567
## .sbps1w1 2.327 0.087 26.778 0.000 2.327 0.592
## .sbps2w1 1.597 0.066 24.136 0.000 1.597 0.468
## .sbps3w1 1.093 0.064 17.093 0.000 1.093 0.295
## .sbiso1w1 2.691 0.099 27.201 0.000 2.691 0.632
## .sbiso2w1 2.060 0.075 27.392 0.000 2.060 0.657
## .sbps1w2 1.650 0.062 26.457 0.000 1.650 0.575
## .sbps2w2 1.277 0.056 22.733 0.000 1.277 0.401
## .sbps3w2 1.040 0.053 19.507 0.000 1.040 0.320
## .sbiso1w2 2.653 0.098 27.119 0.000 2.653 0.631
## .sbiso2w2 2.407 0.088 27.222 0.000 2.407 0.643
## .sbps1w3 1.315 0.057 22.995 0.000 1.315 0.450
## .sbps2w3 1.127 0.054 20.718 0.000 1.127 0.357
## .sbps3w3 0.705 0.048 14.756 0.000 0.705 0.229
## .sbiso1w3 2.995 0.113 26.575 0.000 2.995 0.761
## .sbiso2w3 2.754 0.103 26.793 0.000 2.754 0.798
## util_1 0.368 0.031 12.053 0.000 1.000 1.000
## .util_2 0.371 0.034 10.985 0.000 0.499 0.499
## .util_3 0.530 0.042 12.550 0.000 0.508 0.508
## sb_ps_1 1.602 0.112 14.368 0.000 1.000 1.000
## .sb_ps_2 0.733 0.054 13.685 0.000 0.600 0.600
## .sb_ps_3 0.848 0.059 14.461 0.000 0.527 0.527## lhs op rhs est.std se z pvalue ci.lower ci.upper
## 1 util_1 =~ util4w1 0.634 0.021 29.558 0.000 0.592 0.677
## 2 util_1 =~ util5w1 0.612 0.022 28.084 0.000 0.569 0.655
## 3 util_1 =~ util6w1 0.525 0.023 23.089 0.000 0.480 0.569
## 4 util_2 =~ util4w2 0.728 0.016 44.778 0.000 0.696 0.760
## 5 util_2 =~ util5w2 0.680 0.017 39.540 0.000 0.647 0.714
## 6 util_2 =~ util6w2 0.616 0.019 33.198 0.000 0.580 0.653
## 7 util_3 =~ util4w3 0.771 0.015 50.991 0.000 0.742 0.801
## 8 util_3 =~ util5w3 0.799 0.015 54.958 0.000 0.770 0.827
## 9 util_3 =~ util6w3 0.658 0.018 36.179 0.000 0.622 0.694
## 10 sb_ps_1 =~ sbps1w1 0.639 0.016 39.779 0.000 0.607 0.670
## 11 sb_ps_1 =~ sbps2w1 0.729 0.014 53.887 0.000 0.703 0.756
## 12 sb_ps_1 =~ sbps3w1 0.840 0.011 76.920 0.000 0.818 0.861
## 13 sb_ps_1 =~ sbiso1w1 -0.607 0.017 -35.572 0.000 -0.640 -0.573
## 14 sb_ps_1 =~ sbiso2w1 -0.586 0.018 -33.070 0.000 -0.620 -0.551
## 15 sb_ps_2 =~ sbps1w2 0.652 0.016 41.745 0.000 0.622 0.683
## 16 sb_ps_2 =~ sbps2w2 0.774 0.012 64.387 0.000 0.750 0.797
## 17 sb_ps_2 =~ sbps3w2 0.824 0.011 77.327 0.000 0.804 0.845
## 18 sb_ps_2 =~ sbiso1w2 -0.607 0.017 -35.778 0.000 -0.641 -0.574
## 19 sb_ps_2 =~ sbiso2w2 -0.598 0.017 -34.664 0.000 -0.631 -0.564
## 20 sb_ps_3 =~ sbps1w3 0.742 0.014 54.605 0.000 0.715 0.768
## 21 sb_ps_3 =~ sbps2w3 0.802 0.012 69.536 0.000 0.779 0.824
## 22 sb_ps_3 =~ sbps3w3 0.878 0.009 92.908 0.000 0.860 0.897
## 23 sb_ps_3 =~ sbiso1w3 -0.489 0.021 -23.115 0.000 -0.530 -0.447
## 24 sb_ps_3 =~ sbiso2w3 -0.450 0.022 -20.415 0.000 -0.493 -0.407
## 25 util_2 ~ util_1 0.710 0.026 27.592 0.000 0.660 0.761
## 26 util_2 ~ sb_ps_1 -0.013 0.029 -0.453 0.651 -0.069 0.043
## 27 sb_ps_2 ~ util_1 0.088 0.028 3.109 0.002 0.033 0.144
## 28 sb_ps_2 ~ sb_ps_1 0.611 0.020 29.953 0.000 0.571 0.651
## 29 util_3 ~ util_2 0.690 0.024 28.727 0.000 0.643 0.738
## 30 util_3 ~ sb_ps_2 0.041 0.028 1.461 0.144 -0.014 0.095
## 31 sb_ps_3 ~ util_2 0.103 0.028 3.628 0.000 0.047 0.159
## 32 sb_ps_3 ~ sb_ps_2 0.655 0.020 32.136 0.000 0.615 0.695
## 33 util_1 ~~ sb_ps_1 0.180 0.031 5.763 0.000 0.119 0.241
## 34 util_2 ~~ sb_ps_2 0.201 0.042 4.781 0.000 0.119 0.284
## 35 util_3 ~~ sb_ps_3 0.318 0.039 8.165 0.000 0.241 0.394
## 36 sbiso1w1 ~~ sbiso2w1 0.148 0.025 5.859 0.000 0.098 0.197
## 37 sbiso1w2 ~~ sbiso2w2 0.358 0.022 16.084 0.000 0.314 0.401
## 38 sbiso1w3 ~~ sbiso2w3 0.476 0.020 23.520 0.000 0.437 0.516
## 39 util4w1 ~~ util4w1 0.597 0.027 21.934 0.000 0.544 0.651
## 40 util5w1 ~~ util5w1 0.625 0.027 23.422 0.000 0.573 0.678
## 41 util6w1 ~~ util6w1 0.725 0.024 30.381 0.000 0.678 0.771
## 42 util4w2 ~~ util4w2 0.470 0.024 19.846 0.000 0.423 0.516
## 43 util5w2 ~~ util5w2 0.537 0.023 22.932 0.000 0.491 0.583
## 44 util6w2 ~~ util6w2 0.620 0.023 27.081 0.000 0.575 0.665
## 45 util4w3 ~~ util4w3 0.405 0.023 17.378 0.000 0.360 0.451
## 46 util5w3 ~~ util5w3 0.362 0.023 15.566 0.000 0.316 0.407
## 47 util6w3 ~~ util6w3 0.567 0.024 23.700 0.000 0.520 0.614
## 48 sbps1w1 ~~ sbps1w1 0.592 0.021 28.885 0.000 0.552 0.632
## 49 sbps2w1 ~~ sbps2w1 0.468 0.020 23.705 0.000 0.429 0.507
## 50 sbps3w1 ~~ sbps3w1 0.295 0.018 16.098 0.000 0.259 0.331
## 51 sbiso1w1 ~~ sbiso1w1 0.632 0.021 30.543 0.000 0.591 0.673
## 52 sbiso2w1 ~~ sbiso2w1 0.657 0.021 31.657 0.000 0.616 0.698
## 53 sbps1w2 ~~ sbps1w2 0.575 0.020 28.185 0.000 0.535 0.614
## 54 sbps2w2 ~~ sbps2w2 0.401 0.019 21.596 0.000 0.365 0.438
## 55 sbps3w2 ~~ sbps3w2 0.320 0.018 18.216 0.000 0.286 0.355
## 56 sbiso1w2 ~~ sbiso1w2 0.631 0.021 30.621 0.000 0.591 0.672
## 57 sbiso2w2 ~~ sbiso2w2 0.643 0.021 31.192 0.000 0.602 0.683
## 58 sbps1w3 ~~ sbps1w3 0.450 0.020 22.324 0.000 0.410 0.489
## 59 sbps2w3 ~~ sbps2w3 0.357 0.018 19.332 0.000 0.321 0.394
## 60 sbps3w3 ~~ sbps3w3 0.229 0.017 13.781 0.000 0.196 0.261
## 61 sbiso1w3 ~~ sbiso1w3 0.761 0.021 36.858 0.000 0.721 0.802
## 62 sbiso2w3 ~~ sbiso2w3 0.798 0.020 40.216 0.000 0.759 0.836
## 63 util_1 ~~ util_1 1.000 0.000 NA NA 1.000 1.000
## 64 util_2 ~~ util_2 0.499 0.035 14.272 0.000 0.430 0.567
## 65 util_3 ~~ util_3 0.508 0.031 16.332 0.000 0.447 0.569
## 66 sb_ps_1 ~~ sb_ps_1 1.000 0.000 NA NA 1.000 1.000
## 67 sb_ps_2 ~~ sb_ps_2 0.600 0.024 24.898 0.000 0.553 0.647
## 68 sb_ps_3 ~~ sb_ps_3 0.527 0.025 21.044 0.000 0.478 0.576
## 69 util4w1 ~1 6.422 0.107 60.074 0.000 6.212 6.631
## 70 util5w1 ~1 6.011 0.101 59.793 0.000 5.814 6.208
## 71 util6w1 ~1 4.193 0.072 58.273 0.000 4.052 4.334
## 72 util4w2 ~1 4.902 0.084 58.405 0.000 4.738 5.067
## 73 util5w2 ~1 5.234 0.089 58.587 0.000 5.059 5.409
## 74 util6w2 ~1 4.120 0.072 57.420 0.000 3.979 4.260
## 75 util4w3 ~1 4.064 0.079 51.741 0.000 3.910 4.218
## 76 util5w3 ~1 4.377 0.084 52.054 0.000 4.212 4.541
## 77 util6w3 ~1 3.768 0.074 51.268 0.000 3.624 3.912
## 78 sbps1w1 ~1 2.461 0.046 53.260 0.000 2.370 2.551
## 79 sbps2w1 ~1 2.278 0.044 52.146 0.000 2.192 2.364
## 80 sbps3w1 ~1 2.179 0.042 51.550 0.000 2.096 2.261
## 81 sbiso1w1 ~1 1.979 0.040 50.010 0.000 1.902 2.057
## 82 sbiso2w1 ~1 1.983 0.040 50.012 0.000 1.905 2.061
## 83 sbps1w2 ~1 3.261 0.059 55.603 0.000 3.146 3.376
## 84 sbps2w2 ~1 2.700 0.050 53.759 0.000 2.602 2.798
## 85 sbps3w2 ~1 2.720 0.050 53.876 0.000 2.621 2.819
## 86 sbiso1w2 ~1 1.665 0.036 46.206 0.000 1.594 1.736
## 87 sbiso2w2 ~1 1.763 0.037 47.211 0.000 1.689 1.836
## 88 sbps1w3 ~1 3.093 0.061 50.451 0.000 2.973 3.213
## 89 sbps2w3 ~1 2.618 0.054 48.846 0.000 2.513 2.723
## 90 sbps3w3 ~1 2.795 0.056 49.693 0.000 2.685 2.906
## 91 sbiso1w3 ~1 1.740 0.040 43.795 0.000 1.663 1.818
## 92 sbiso2w3 ~1 1.965 0.043 45.702 0.000 1.881 2.050
## 93 util_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 94 util_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 95 util_3 ~1 0.000 0.000 NA NA 0.000 0.000
## 96 sb_ps_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 97 sb_ps_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 98 sb_ps_3 ~1 0.000 0.000 NA NA 0.000 0.000## Warning in lav_data_full(data = data, group = group, cluster = cluster, : lavaan WARNING: some cases are empty and will be ignored:
## 320 617 968 1056## lavaan 0.6-6 ended normally after 82 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 74
##
## Used Total
## Number of observations 1956 1960
## Number of missing patterns 62
##
## Model Test User Model:
##
## Test statistic 1355.621
## Degrees of freedom 178
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 14118.308
## Degrees of freedom 210
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.915
## Tucker-Lewis Index (TLI) 0.900
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -58320.060
## Loglikelihood unrestricted model (H1) -57642.249
##
## Akaike (AIC) 116788.120
## Bayesian (BIC) 117200.941
## Sample-size adjusted Bayesian (BIC) 116965.840
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.058
## 90 Percent confidence interval - lower 0.055
## 90 Percent confidence interval - upper 0.061
## P-value RMSEA <= 0.05 0.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.047
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## util_1 =~
## util4w1 1.000 0.618 0.647
## util5w1 0.923 0.053 17.507 0.000 0.571 0.597
## util6w1 1.068 0.067 15.947 0.000 0.660 0.526
## util_2 =~
## util4w2 1.000 0.859 0.725
## util5w2 0.860 0.037 23.403 0.000 0.738 0.675
## util6w2 0.912 0.042 21.696 0.000 0.784 0.625
## util_3 =~
## util4w3 1.000 1.030 0.778
## util5w3 0.941 0.035 26.770 0.000 0.969 0.787
## util6w3 0.829 0.036 22.726 0.000 0.854 0.663
## sb_fs_1 =~
## sbfs1w1 1.000 1.352 0.863
## sbfs2w1 0.929 0.026 36.282 0.000 1.256 0.799
## sbfs3w1 0.715 0.030 23.594 0.000 0.967 0.550
## sbfu1w1 0.623 0.024 25.587 0.000 0.843 0.589
## sb_fs_2 =~
## sbfs1w2 1.000 1.397 0.846
## sbfs2w2 0.983 0.025 38.715 0.000 1.372 0.822
## sbfs3w2 0.735 0.030 24.860 0.000 1.026 0.571
## sbfu1w2 0.606 0.024 25.043 0.000 0.847 0.580
## sb_fs_3 =~
## sbfs1w3 1.000 1.464 0.890
## sbfs2w3 0.934 0.025 36.694 0.000 1.367 0.822
## sbfs3w3 0.759 0.030 25.306 0.000 1.111 0.605
## sbfu1w3 0.719 0.026 27.531 0.000 1.053 0.652
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## util_2 ~
## util_1 1.009 0.064 15.671 0.000 0.727 0.727
## sb_fs_1 -0.031 0.020 -1.555 0.120 -0.049 -0.049
## sb_fs_2 ~
## util_1 0.065 0.067 0.961 0.336 0.029 0.029
## sb_fs_1 0.666 0.030 22.397 0.000 0.645 0.645
## util_3 ~
## util_2 0.797 0.046 17.310 0.000 0.665 0.665
## sb_fs_2 0.078 0.022 3.586 0.000 0.106 0.106
## sb_fs_3 ~
## util_2 0.052 0.052 1.012 0.312 0.031 0.031
## sb_fs_2 0.688 0.032 21.774 0.000 0.656 0.656
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## util_1 ~~
## sb_fs_1 0.289 0.029 9.970 0.000 0.346 0.346
## .util_2 ~~
## .sb_fs_2 0.239 0.029 8.248 0.000 0.375 0.375
## .util_3 ~~
## .sb_fs_3 0.279 0.034 8.180 0.000 0.353 0.353
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .util4w1 6.140 0.022 279.667 0.000 6.140 6.421
## .util5w1 5.746 0.022 261.613 0.000 5.746 6.011
## .util6w1 5.263 0.029 182.527 0.000 5.263 4.193
## .util4w2 5.808 0.027 211.250 0.000 5.808 4.902
## .util5w2 5.727 0.025 225.174 0.000 5.727 5.234
## .util6w2 5.166 0.029 177.150 0.000 5.166 4.120
## .util4w3 5.380 0.033 164.215 0.000 5.380 4.064
## .util5w3 5.390 0.030 177.025 0.000 5.390 4.379
## .util6w3 4.853 0.032 151.200 0.000 4.853 3.768
## .sbfs1w1 4.788 0.036 133.220 0.000 4.788 3.057
## .sbfs2w1 4.979 0.036 137.985 0.000 4.979 3.169
## .sbfs3w1 3.217 0.040 79.462 0.000 3.217 1.828
## .sbfu1w1 5.338 0.033 161.905 0.000 5.338 3.729
## .sbfs1w2 4.475 0.038 117.059 0.000 4.475 2.710
## .sbfs2w2 4.844 0.039 125.366 0.000 4.844 2.902
## .sbfs3w2 3.105 0.042 74.097 0.000 3.105 1.727
## .sbfu1w2 5.184 0.034 152.312 0.000 5.184 3.548
## .sbfs1w3 4.280 0.041 105.393 0.000 4.280 2.602
## .sbfs2w3 4.624 0.041 112.193 0.000 4.624 2.782
## .sbfs3w3 3.081 0.046 66.785 0.000 3.081 1.679
## .sbfu1w3 4.653 0.041 114.874 0.000 4.653 2.880
## util_1 0.000 0.000 0.000
## .util_2 0.000 0.000 0.000
## .util_3 0.000 0.000 0.000
## sb_fs_1 0.000 0.000 0.000
## .sb_fs_2 0.000 0.000 0.000
## .sb_fs_3 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .util4w1 0.532 0.026 20.796 0.000 0.532 0.582
## .util5w1 0.588 0.026 22.910 0.000 0.588 0.644
## .util6w1 1.139 0.045 25.483 0.000 1.139 0.723
## .util4w2 0.666 0.033 20.383 0.000 0.666 0.474
## .util5w2 0.652 0.029 22.741 0.000 0.652 0.545
## .util6w2 0.958 0.039 24.548 0.000 0.958 0.609
## .util4w3 0.693 0.038 18.059 0.000 0.693 0.395
## .util5w3 0.577 0.033 17.418 0.000 0.577 0.381
## .util6w3 0.930 0.041 22.886 0.000 0.930 0.561
## .sbfs1w1 0.625 0.041 15.360 0.000 0.625 0.255
## .sbfs2w1 0.892 0.043 20.962 0.000 0.892 0.361
## .sbfs3w1 2.161 0.076 28.433 0.000 2.161 0.698
## .sbfu1w1 1.339 0.048 27.890 0.000 1.339 0.653
## .sbfs1w2 0.777 0.043 18.181 0.000 0.777 0.285
## .sbfs2w2 0.903 0.044 20.375 0.000 0.903 0.324
## .sbfs3w2 2.179 0.078 27.902 0.000 2.179 0.674
## .sbfu1w2 1.418 0.051 27.811 0.000 1.418 0.664
## .sbfs1w3 0.562 0.042 13.244 0.000 0.562 0.208
## .sbfs2w3 0.894 0.047 18.962 0.000 0.894 0.324
## .sbfs3w3 2.134 0.083 25.670 0.000 2.134 0.634
## .sbfu1w3 1.501 0.060 25.042 0.000 1.501 0.575
## util_1 0.382 0.031 12.502 0.000 1.000 1.000
## .util_2 0.364 0.034 10.808 0.000 0.494 0.494
## .util_3 0.527 0.042 12.582 0.000 0.497 0.497
## sb_fs_1 1.829 0.085 21.517 0.000 1.000 1.000
## .sb_fs_2 1.113 0.065 17.112 0.000 0.571 0.571
## .sb_fs_3 1.188 0.069 17.151 0.000 0.555 0.555## lhs op rhs est.std se z pvalue ci.lower ci.upper
## 1 util_1 =~ util4w1 0.647 0.021 31.146 0.000 0.606 0.687
## 2 util_1 =~ util5w1 0.597 0.022 27.691 0.000 0.555 0.639
## 3 util_1 =~ util6w1 0.526 0.022 23.474 0.000 0.482 0.570
## 4 util_2 =~ util4w2 0.725 0.016 44.779 0.000 0.693 0.757
## 5 util_2 =~ util5w2 0.675 0.017 39.114 0.000 0.641 0.709
## 6 util_2 =~ util6w2 0.625 0.018 34.114 0.000 0.589 0.661
## 7 util_3 =~ util4w3 0.778 0.015 52.376 0.000 0.749 0.807
## 8 util_3 =~ util5w3 0.787 0.015 53.618 0.000 0.758 0.816
## 9 util_3 =~ util6w3 0.663 0.018 36.724 0.000 0.627 0.698
## 10 sb_fs_1 =~ sbfs1w1 0.863 0.010 84.819 0.000 0.843 0.883
## 11 sb_fs_1 =~ sbfs2w1 0.799 0.011 69.843 0.000 0.777 0.822
## 12 sb_fs_1 =~ sbfs3w1 0.550 0.018 30.344 0.000 0.514 0.585
## 13 sb_fs_1 =~ sbfu1w1 0.589 0.017 34.288 0.000 0.555 0.622
## 14 sb_fs_2 =~ sbfs1w2 0.846 0.010 85.033 0.000 0.826 0.865
## 15 sb_fs_2 =~ sbfs2w2 0.822 0.010 79.029 0.000 0.802 0.842
## 16 sb_fs_2 =~ sbfs3w2 0.571 0.018 32.301 0.000 0.536 0.605
## 17 sb_fs_2 =~ sbfu1w2 0.580 0.017 33.211 0.000 0.545 0.614
## 18 sb_fs_3 =~ sbfs1w3 0.890 0.009 94.843 0.000 0.872 0.908
## 19 sb_fs_3 =~ sbfs2w3 0.822 0.011 73.414 0.000 0.800 0.844
## 20 sb_fs_3 =~ sbfs3w3 0.605 0.018 33.669 0.000 0.570 0.641
## 21 sb_fs_3 =~ sbfu1w3 0.652 0.017 39.423 0.000 0.619 0.684
## 22 util_2 ~ util_1 0.727 0.029 25.124 0.000 0.670 0.783
## 23 util_2 ~ sb_fs_1 -0.049 0.031 -1.556 0.120 -0.110 0.013
## 24 sb_fs_2 ~ util_1 0.029 0.030 0.962 0.336 -0.030 0.087
## 25 sb_fs_2 ~ sb_fs_1 0.645 0.022 29.804 0.000 0.602 0.687
## 26 util_3 ~ util_2 0.665 0.026 25.457 0.000 0.614 0.716
## 27 util_3 ~ sb_fs_2 0.106 0.029 3.617 0.000 0.049 0.164
## 28 sb_fs_3 ~ util_2 0.031 0.030 1.013 0.311 -0.029 0.090
## 29 sb_fs_3 ~ sb_fs_2 0.656 0.022 29.478 0.000 0.612 0.700
## 30 util_1 ~~ sb_fs_1 0.346 0.029 11.803 0.000 0.288 0.403
## 31 util_2 ~~ sb_fs_2 0.375 0.042 9.015 0.000 0.293 0.456
## 32 util_3 ~~ sb_fs_3 0.353 0.038 9.316 0.000 0.279 0.427
## 33 util4w1 ~~ util4w1 0.582 0.027 21.661 0.000 0.529 0.634
## 34 util5w1 ~~ util5w1 0.644 0.026 25.009 0.000 0.593 0.694
## 35 util6w1 ~~ util6w1 0.723 0.024 30.675 0.000 0.677 0.769
## 36 util4w2 ~~ util4w2 0.474 0.023 20.204 0.000 0.428 0.520
## 37 util5w2 ~~ util5w2 0.545 0.023 23.395 0.000 0.499 0.590
## 38 util6w2 ~~ util6w2 0.609 0.023 26.618 0.000 0.565 0.654
## 39 util4w3 ~~ util4w3 0.395 0.023 17.107 0.000 0.350 0.440
## 40 util5w3 ~~ util5w3 0.381 0.023 16.476 0.000 0.335 0.426
## 41 util6w3 ~~ util6w3 0.561 0.024 23.434 0.000 0.514 0.608
## 42 sbfs1w1 ~~ sbfs1w1 0.255 0.018 14.495 0.000 0.220 0.289
## 43 sbfs2w1 ~~ sbfs2w1 0.361 0.018 19.742 0.000 0.325 0.397
## 44 sbfs3w1 ~~ sbfs3w1 0.698 0.020 35.040 0.000 0.659 0.737
## 45 sbfu1w1 ~~ sbfu1w1 0.653 0.020 32.327 0.000 0.614 0.693
## 46 sbfs1w2 ~~ sbfs1w2 0.285 0.017 16.937 0.000 0.252 0.318
## 47 sbfs2w2 ~~ sbfs2w2 0.324 0.017 18.955 0.000 0.291 0.358
## 48 sbfs3w2 ~~ sbfs3w2 0.674 0.020 33.440 0.000 0.635 0.714
## 49 sbfu1w2 ~~ sbfu1w2 0.664 0.020 32.840 0.000 0.625 0.704
## 50 sbfs1w3 ~~ sbfs1w3 0.208 0.017 12.442 0.000 0.175 0.241
## 51 sbfs2w3 ~~ sbfs2w3 0.324 0.018 17.563 0.000 0.288 0.360
## 52 sbfs3w3 ~~ sbfs3w3 0.634 0.022 29.104 0.000 0.591 0.676
## 53 sbfu1w3 ~~ sbfu1w3 0.575 0.022 26.695 0.000 0.533 0.617
## 54 util_1 ~~ util_1 1.000 0.000 NA NA 1.000 1.000
## 55 util_2 ~~ util_2 0.494 0.035 13.925 0.000 0.425 0.564
## 56 util_3 ~~ util_3 0.497 0.030 16.307 0.000 0.437 0.557
## 57 sb_fs_1 ~~ sb_fs_1 1.000 0.000 NA NA 1.000 1.000
## 58 sb_fs_2 ~~ sb_fs_2 0.571 0.024 23.982 0.000 0.524 0.617
## 59 sb_fs_3 ~~ sb_fs_3 0.555 0.025 22.197 0.000 0.506 0.604
## 60 util4w1 ~1 6.421 0.107 60.067 0.000 6.212 6.631
## 61 util5w1 ~1 6.011 0.101 59.784 0.000 5.813 6.208
## 62 util6w1 ~1 4.193 0.072 58.268 0.000 4.052 4.334
## 63 util4w2 ~1 4.902 0.084 58.406 0.000 4.738 5.067
## 64 util5w2 ~1 5.234 0.089 58.582 0.000 5.059 5.409
## 65 util6w2 ~1 4.120 0.072 57.428 0.000 3.979 4.261
## 66 util4w3 ~1 4.064 0.078 51.784 0.000 3.910 4.217
## 67 util5w3 ~1 4.379 0.084 52.110 0.000 4.214 4.543
## 68 util6w3 ~1 3.768 0.073 51.287 0.000 3.624 3.912
## 69 sbfs1w1 ~1 3.057 0.055 55.642 0.000 2.949 3.164
## 70 sbfs2w1 ~1 3.169 0.057 56.023 0.000 3.058 3.280
## 71 sbfs3w1 ~1 1.828 0.038 48.504 0.000 1.754 1.902
## 72 sbfu1w1 ~1 3.729 0.065 57.206 0.000 3.601 3.857
## 73 sbfs1w2 ~1 2.710 0.050 53.968 0.000 2.611 2.808
## 74 sbfs2w2 ~1 2.902 0.053 54.721 0.000 2.798 3.006
## 75 sbfs3w2 ~1 1.727 0.037 46.934 0.000 1.655 1.800
## 76 sbfu1w2 ~1 3.548 0.063 56.266 0.000 3.424 3.672
## 77 sbfs1w3 ~1 2.602 0.053 48.755 0.000 2.498 2.707
## 78 sbfs2w3 ~1 2.782 0.056 49.374 0.000 2.672 2.893
## 79 sbfs3w3 ~1 1.679 0.040 42.115 0.000 1.601 1.757
## 80 sbfu1w3 ~1 2.880 0.058 49.507 0.000 2.766 2.994
## 81 util_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 82 util_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 83 util_3 ~1 0.000 0.000 NA NA 0.000 0.000
## 84 sb_fs_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 85 sb_fs_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 86 sb_fs_3 ~1 0.000 0.000 NA NA 0.000 0.000## Warning in lav_data_full(data = data, group = group, cluster = cluster, : lavaan WARNING: some cases are empty and will be ignored:
## 320 617 968 1056## lavaan 0.6-6 ended normally after 61 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 47
##
## Used Total
## Number of observations 1956 1960
## Number of clusters [id] 1960
## Number of missing patterns 46
##
## Model Test User Model:
## Standard Robust
## Test Statistic 402.595 338.901
## Degrees of freedom 43 43
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.188
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 12166.198 8922.960
## Degrees of freedom 66 66
## P-value 0.000 0.000
## Scaling correction factor 1.363
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.970 0.967
## Tucker-Lewis Index (TLI) 0.954 0.949
##
## Robust Comparative Fit Index (CFI) 0.971
## Robust Tucker-Lewis Index (TLI) 0.955
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -33569.290 -33569.290
## Scaling correction factor 1.274
## for the MLR correction
## Loglikelihood unrestricted model (H1) -33367.993 -33367.993
## Scaling correction factor 1.233
## for the MLR correction
##
## Akaike (AIC) 67232.580 67232.580
## Bayesian (BIC) 67494.777 67494.777
## Sample-size adjusted Bayesian (BIC) 67345.457 67345.457
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.065 0.059
## 90 Percent confidence interval - lower 0.060 0.054
## 90 Percent confidence interval - upper 0.071 0.065
## P-value RMSEA <= 0.05 0.000 0.002
##
## Robust RMSEA 0.065
## 90 Percent confidence interval - lower 0.058
## 90 Percent confidence interval - upper 0.071
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.026 0.026
##
## Parameter Estimates:
##
## Standard errors Robust.cluster
## Information Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## conf_1 =~
## conf1w1 1.000 1.127 0.872
## conf2w1 0.952 0.034 28.120 0.000 1.073 0.793
## conf_2 =~
## conf1w2 1.000 1.299 0.887
## conf2w2 0.995 0.026 37.751 0.000 1.292 0.841
## conf_3 =~
## conf1w3 1.000 1.484 0.924
## conf2w3 0.942 0.026 36.039 0.000 1.399 0.847
## sb_cc_1 =~
## sbcc1w1 1.000 1.470 0.875
## sbcc2w1 0.950 0.028 33.889 0.000 1.396 0.837
## sb_cc_2 =~
## sbcc1w2 1.000 1.477 0.850
## sbcc2w2 0.999 0.028 35.731 0.000 1.476 0.839
## sb_cc_3 =~
## sbcc1w3 1.000 1.474 0.847
## sbcc2w3 1.020 0.031 32.432 0.000 1.503 0.871
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## conf_2 ~
## conf_1 0.752 0.039 19.274 0.000 0.653 0.653
## sb_cc_1 0.082 0.027 3.013 0.003 0.092 0.092
## sb_cc_2 ~
## conf_1 0.071 0.039 1.833 0.067 0.054 0.054
## sb_cc_1 0.668 0.033 20.353 0.000 0.665 0.665
## conf_3 ~
## conf_2 0.796 0.039 20.357 0.000 0.697 0.697
## sb_cc_2 0.080 0.029 2.765 0.006 0.079 0.079
## sb_cc_3 ~
## conf_2 0.122 0.040 3.037 0.002 0.108 0.108
## sb_cc_2 0.656 0.038 17.264 0.000 0.658 0.658
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## conf_1 ~~
## sb_cc_1 0.795 0.050 15.928 0.000 0.480 0.480
## .conf_2 ~~
## .sb_cc_2 0.374 0.042 8.902 0.000 0.379 0.379
## .conf_3 ~~
## .sb_cc_3 0.403 0.053 7.545 0.000 0.394 0.394
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .conf1w1 5.136 0.030 173.434 0.000 5.136 3.973
## .conf2w1 5.077 0.031 163.595 0.000 5.077 3.750
## .conf1w2 4.754 0.034 140.522 0.000 4.754 3.248
## .conf2w2 4.630 0.036 130.141 0.000 4.630 3.014
## .conf1w3 4.504 0.039 114.399 0.000 4.504 2.804
## .conf2w3 4.274 0.041 105.250 0.000 4.274 2.587
## .sbcc1w1 3.716 0.038 96.612 0.000 3.716 2.213
## .sbcc2w1 4.092 0.038 106.953 0.000 4.092 2.453
## .sbcc1w2 3.811 0.040 94.829 0.000 3.811 2.194
## .sbcc2w2 4.102 0.041 100.687 0.000 4.102 2.332
## .sbcc1w3 3.902 0.043 91.051 0.000 3.902 2.242
## .sbcc2w3 4.001 0.042 94.364 0.000 4.001 2.318
## conf_1 0.000 0.000 0.000
## .conf_2 0.000 0.000 0.000
## .conf_3 0.000 0.000 0.000
## sb_cc_1 0.000 0.000 0.000
## .sb_cc_2 0.000 0.000 0.000
## .sb_cc_3 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .conf1w1 0.401 0.042 9.660 0.000 0.401 0.240
## .conf2w1 0.681 0.054 12.633 0.000 0.681 0.372
## .conf1w2 0.456 0.043 10.530 0.000 0.456 0.213
## .conf2w2 0.691 0.053 13.044 0.000 0.691 0.293
## .conf1w3 0.377 0.051 7.396 0.000 0.377 0.146
## .conf2w3 0.771 0.063 12.320 0.000 0.771 0.283
## .sbcc1w1 0.659 0.069 9.623 0.000 0.659 0.234
## .sbcc2w1 0.833 0.064 13.047 0.000 0.833 0.300
## .sbcc1w2 0.835 0.072 11.524 0.000 0.835 0.277
## .sbcc2w2 0.915 0.074 12.430 0.000 0.915 0.296
## .sbcc1w3 0.856 0.084 10.191 0.000 0.856 0.283
## .sbcc2w3 0.720 0.078 9.275 0.000 0.720 0.242
## conf_1 1.271 0.062 20.401 0.000 1.000 1.000
## .conf_2 0.857 0.065 13.091 0.000 0.508 0.508
## .conf_3 0.997 0.081 12.267 0.000 0.453 0.453
## sb_cc_1 2.160 0.096 22.461 0.000 1.000 1.000
## .sb_cc_2 1.135 0.080 14.222 0.000 0.520 0.520
## .sb_cc_3 1.052 0.079 13.362 0.000 0.484 0.484## lhs op rhs est.std se z pvalue ci.lower ci.upper
## 1 conf_1 =~ conf1w1 0.872 0.014 61.173 0.000 0.844 0.900
## 2 conf_1 =~ conf2w1 0.793 0.018 44.227 0.000 0.758 0.828
## 3 conf_2 =~ conf1w2 0.887 0.012 76.188 0.000 0.864 0.910
## 4 conf_2 =~ conf2w2 0.841 0.014 61.258 0.000 0.814 0.868
## 5 conf_3 =~ conf1w3 0.924 0.011 83.434 0.000 0.902 0.946
## 6 conf_3 =~ conf2w3 0.847 0.014 60.778 0.000 0.820 0.874
## 7 sb_cc_1 =~ sbcc1w1 0.875 0.014 62.429 0.000 0.848 0.903
## 8 sb_cc_1 =~ sbcc2w1 0.837 0.014 60.316 0.000 0.810 0.864
## 9 sb_cc_2 =~ sbcc1w2 0.850 0.014 59.068 0.000 0.822 0.879
## 10 sb_cc_2 =~ sbcc2w2 0.839 0.014 58.162 0.000 0.811 0.867
## 11 sb_cc_3 =~ sbcc1w3 0.847 0.016 51.626 0.000 0.815 0.879
## 12 sb_cc_3 =~ sbcc2w3 0.871 0.015 57.429 0.000 0.841 0.901
## 13 conf_2 ~ conf_1 0.653 0.029 22.687 0.000 0.596 0.709
## 14 conf_2 ~ sb_cc_1 0.092 0.031 3.007 0.003 0.032 0.152
## 15 sb_cc_2 ~ conf_1 0.054 0.030 1.841 0.066 -0.004 0.112
## 16 sb_cc_2 ~ sb_cc_1 0.665 0.027 24.838 0.000 0.612 0.717
## 17 conf_3 ~ conf_2 0.697 0.028 24.785 0.000 0.642 0.752
## 18 conf_3 ~ sb_cc_2 0.079 0.029 2.774 0.006 0.023 0.135
## 19 sb_cc_3 ~ conf_2 0.108 0.035 3.057 0.002 0.039 0.177
## 20 sb_cc_3 ~ sb_cc_2 0.658 0.030 21.791 0.000 0.599 0.717
## 21 conf_1 ~~ sb_cc_1 0.480 0.024 20.404 0.000 0.434 0.526
## 22 conf_2 ~~ sb_cc_2 0.379 0.036 10.457 0.000 0.308 0.451
## 23 conf_3 ~~ sb_cc_3 0.394 0.041 9.497 0.000 0.313 0.475
## 24 conf1w1 ~~ conf1w1 0.240 0.025 9.656 0.000 0.191 0.289
## 25 conf2w1 ~~ conf2w1 0.372 0.028 13.081 0.000 0.316 0.427
## 26 conf1w2 ~~ conf1w2 0.213 0.021 10.303 0.000 0.172 0.253
## 27 conf2w2 ~~ conf2w2 0.293 0.023 12.685 0.000 0.248 0.338
## 28 conf1w3 ~~ conf1w3 0.146 0.020 7.141 0.000 0.106 0.186
## 29 conf2w3 ~~ conf2w3 0.283 0.024 11.977 0.000 0.236 0.329
## 30 sbcc1w1 ~~ sbcc1w1 0.234 0.025 9.527 0.000 0.186 0.282
## 31 sbcc2w1 ~~ sbcc2w1 0.300 0.023 12.895 0.000 0.254 0.345
## 32 sbcc1w2 ~~ sbcc1w2 0.277 0.024 11.306 0.000 0.229 0.325
## 33 sbcc2w2 ~~ sbcc2w2 0.296 0.024 12.225 0.000 0.249 0.343
## 34 sbcc1w3 ~~ sbcc1w3 0.283 0.028 10.171 0.000 0.228 0.337
## 35 sbcc2w3 ~~ sbcc2w3 0.242 0.026 9.150 0.000 0.190 0.293
## 36 conf_1 ~~ conf_1 1.000 0.000 NA NA 1.000 1.000
## 37 conf_2 ~~ conf_2 0.508 0.029 17.742 0.000 0.452 0.564
## 38 conf_3 ~~ conf_3 0.453 0.031 14.442 0.000 0.391 0.514
## 39 sb_cc_1 ~~ sb_cc_1 1.000 0.000 NA NA 1.000 1.000
## 40 sb_cc_2 ~~ sb_cc_2 0.520 0.028 18.509 0.000 0.465 0.576
## 41 sb_cc_3 ~~ sb_cc_3 0.484 0.029 16.689 0.000 0.428 0.541
## 42 conf1w1 ~1 3.973 0.074 53.713 0.000 3.828 4.118
## 43 conf2w1 ~1 3.750 0.074 50.458 0.000 3.604 3.895
## 44 conf1w2 ~1 3.248 0.062 52.107 0.000 3.125 3.370
## 45 conf2w2 ~1 3.014 0.057 52.982 0.000 2.903 3.126
## 46 conf1w3 ~1 2.804 0.058 48.110 0.000 2.689 2.918
## 47 conf2w3 ~1 2.587 0.050 51.595 0.000 2.489 2.686
## 48 sbcc1w1 ~1 2.213 0.033 66.145 0.000 2.148 2.279
## 49 sbcc2w1 ~1 2.453 0.038 64.869 0.000 2.379 2.527
## 50 sbcc1w2 ~1 2.194 0.035 63.435 0.000 2.126 2.262
## 51 sbcc2w2 ~1 2.332 0.038 61.512 0.000 2.258 2.407
## 52 sbcc1w3 ~1 2.242 0.039 56.961 0.000 2.165 2.320
## 53 sbcc2w3 ~1 2.318 0.042 55.728 0.000 2.237 2.400
## 54 conf_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 55 conf_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 56 conf_3 ~1 0.000 0.000 NA NA 0.000 0.000
## 57 sb_cc_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 58 sb_cc_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 59 sb_cc_3 ~1 0.000 0.000 NA NA 0.000 0.000## Warning in lav_data_full(data = data, group = group, cluster = cluster, : lavaan WARNING: some cases are empty and will be ignored:
## 320 617 968 1056## lavaan 0.6-6 ended normally after 74 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 77
##
## Used Total
## Number of observations 1956 1960
## Number of missing patterns 60
##
## Model Test User Model:
##
## Test statistic 1460.476
## Degrees of freedom 175
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 17940.504
## Degrees of freedom 210
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.927
## Tucker-Lewis Index (TLI) 0.913
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -64248.955
## Loglikelihood unrestricted model (H1) -63518.717
##
## Akaike (AIC) 128651.909
## Bayesian (BIC) 129081.466
## Sample-size adjusted Bayesian (BIC) 128836.834
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.061
## 90 Percent confidence interval - lower 0.058
## 90 Percent confidence interval - upper 0.064
## P-value RMSEA <= 0.05 0.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.050
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## conf_1 =~
## conf1w1 1.000 1.111 0.860
## conf2w1 0.979 0.034 28.846 0.000 1.088 0.803
## conf_2 =~
## conf1w2 1.000 1.288 0.879
## conf2w2 1.012 0.026 38.302 0.000 1.303 0.848
## conf_3 =~
## conf1w3 1.000 1.488 0.926
## conf2w3 0.939 0.027 35.138 0.000 1.398 0.846
## sb_ps_1 =~
## sbps1w1 1.000 1.267 0.639
## sbps2w1 1.065 0.042 25.399 0.000 1.349 0.730
## sbps3w1 1.273 0.047 27.322 0.000 1.613 0.838
## sbiso1w1 -0.988 0.045 -21.859 0.000 -1.251 -0.606
## sbiso2w1 -0.819 0.039 -21.107 0.000 -1.038 -0.586
## sb_ps_2 =~
## sbps1w2 1.000 1.103 0.651
## sbps2w2 1.252 0.047 26.884 0.000 1.381 0.774
## sbps3w2 1.350 0.048 28.038 0.000 1.489 0.826
## sbiso1w2 -1.125 0.051 -21.917 0.000 -1.241 -0.605
## sbiso2w2 -1.049 0.049 -21.554 0.000 -1.157 -0.598
## sb_ps_3 =~
## sbps1w3 1.000 1.268 0.742
## sbps2w3 1.123 0.037 30.274 0.000 1.425 0.803
## sbps3w3 1.215 0.037 32.677 0.000 1.541 0.878
## sbiso1w3 -0.758 0.042 -18.042 0.000 -0.961 -0.485
## sbiso2w3 -0.658 0.039 -16.708 0.000 -0.835 -0.449
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## conf_2 ~
## conf_1 0.815 0.032 25.306 0.000 0.704 0.704
## sb_ps_1 -0.011 0.024 -0.486 0.627 -0.011 -0.011
## sb_ps_2 ~
## conf_1 0.044 0.024 1.785 0.074 0.044 0.044
## sb_ps_1 0.539 0.030 17.699 0.000 0.620 0.620
## conf_3 ~
## conf_2 0.847 0.030 28.195 0.000 0.733 0.733
## sb_ps_2 0.041 0.031 1.301 0.193 0.030 0.030
## sb_ps_3 ~
## conf_2 0.134 0.025 5.284 0.000 0.136 0.136
## sb_ps_2 0.751 0.040 18.988 0.000 0.653 0.653
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## conf_1 ~~
## sb_ps_1 0.234 0.040 5.844 0.000 0.166 0.166
## .conf_2 ~~
## .sb_ps_2 0.138 0.028 4.932 0.000 0.176 0.176
## .conf_3 ~~
## .sb_ps_3 0.268 0.036 7.470 0.000 0.292 0.292
## .sbiso1w1 ~~
## .sbiso2w1 0.347 0.063 5.515 0.000 0.347 0.147
## .sbiso1w2 ~~
## .sbiso2w2 0.908 0.072 12.666 0.000 0.908 0.359
## .sbiso1w3 ~~
## .sbiso2w3 1.375 0.085 16.141 0.000 1.375 0.477
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .conf1w1 5.136 0.030 173.464 0.000 5.136 3.974
## .conf2w1 5.077 0.031 163.548 0.000 5.077 3.751
## .conf1w2 4.754 0.034 140.604 0.000 4.754 3.247
## .conf2w2 4.629 0.036 130.284 0.000 4.629 3.013
## .conf1w3 4.501 0.039 114.872 0.000 4.501 2.799
## .conf2w3 4.270 0.041 105.355 0.000 4.270 2.584
## .sbps1w1 4.878 0.046 107.102 0.000 4.878 2.461
## .sbps2w1 4.208 0.042 99.109 0.000 4.208 2.278
## .sbps3w1 4.192 0.044 94.932 0.000 4.192 2.179
## .sbiso1w1 4.084 0.047 86.127 0.000 4.084 1.979
## .sbiso2w1 3.512 0.041 86.237 0.000 3.512 1.983
## .sbps1w2 5.526 0.039 140.223 0.000 5.526 3.261
## .sbps2w2 4.815 0.041 116.401 0.000 4.815 2.700
## .sbps3w2 4.902 0.042 117.352 0.000 4.902 2.719
## .sbiso1w2 3.413 0.048 71.543 0.000 3.413 1.665
## .sbiso2w2 3.410 0.045 75.639 0.000 3.410 1.762
## .sbps1w3 5.286 0.043 124.298 0.000 5.286 3.092
## .sbps2w3 4.647 0.044 105.529 0.000 4.647 2.617
## .sbps3w3 4.905 0.043 113.200 0.000 4.905 2.794
## .sbiso1w3 3.454 0.050 69.049 0.000 3.454 1.741
## .sbiso2w3 3.654 0.047 77.816 0.000 3.654 1.966
## conf_1 0.000 0.000 0.000
## .conf_2 0.000 0.000 0.000
## .conf_3 0.000 0.000 0.000
## sb_ps_1 0.000 0.000 0.000
## .sb_ps_2 0.000 0.000 0.000
## .sb_ps_3 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .conf1w1 0.436 0.038 11.379 0.000 0.436 0.261
## .conf2w1 0.650 0.040 16.200 0.000 0.650 0.355
## .conf1w2 0.486 0.036 13.627 0.000 0.486 0.227
## .conf2w2 0.662 0.040 16.763 0.000 0.662 0.281
## .conf1w3 0.370 0.049 7.545 0.000 0.370 0.143
## .conf2w3 0.778 0.050 15.518 0.000 0.778 0.285
## .sbps1w1 2.324 0.087 26.760 0.000 2.324 0.592
## .sbps2w1 1.592 0.066 24.093 0.000 1.592 0.467
## .sbps3w1 1.100 0.064 17.206 0.000 1.100 0.297
## .sbiso1w1 2.691 0.099 27.196 0.000 2.691 0.632
## .sbiso2w1 2.059 0.075 27.392 0.000 2.059 0.657
## .sbps1w2 1.656 0.063 26.493 0.000 1.656 0.576
## .sbps2w2 1.274 0.056 22.687 0.000 1.274 0.401
## .sbps3w2 1.034 0.053 19.401 0.000 1.034 0.318
## .sbiso1w2 2.663 0.098 27.150 0.000 2.663 0.634
## .sbiso2w2 2.406 0.088 27.220 0.000 2.406 0.643
## .sbps1w3 1.313 0.057 22.992 0.000 1.313 0.449
## .sbps2w3 1.122 0.054 20.683 0.000 1.122 0.356
## .sbps3w3 0.707 0.048 14.822 0.000 0.707 0.229
## .sbiso1w3 3.010 0.113 26.607 0.000 3.010 0.765
## .sbiso2w3 2.755 0.103 26.800 0.000 2.755 0.798
## conf_1 1.235 0.063 19.496 0.000 1.000 1.000
## .conf_2 0.841 0.050 16.795 0.000 0.507 0.507
## .conf_3 1.005 0.064 15.609 0.000 0.454 0.454
## sb_ps_1 1.605 0.112 14.382 0.000 1.000 1.000
## .sb_ps_2 0.736 0.054 13.676 0.000 0.605 0.605
## .sb_ps_3 0.837 0.058 14.447 0.000 0.520 0.520## lhs op rhs est.std se z pvalue ci.lower ci.upper
## 1 conf_1 =~ conf1w1 0.860 0.014 62.514 0.000 0.833 0.887
## 2 conf_1 =~ conf2w1 0.803 0.014 56.808 0.000 0.776 0.831
## 3 conf_2 =~ conf1w2 0.879 0.010 88.335 0.000 0.860 0.899
## 4 conf_2 =~ conf2w2 0.848 0.011 80.707 0.000 0.828 0.869
## 5 conf_3 =~ conf1w3 0.926 0.011 87.860 0.000 0.905 0.946
## 6 conf_3 =~ conf2w3 0.846 0.012 72.737 0.000 0.823 0.869
## 7 sb_ps_1 =~ sbps1w1 0.639 0.016 39.841 0.000 0.608 0.671
## 8 sb_ps_1 =~ sbps2w1 0.730 0.014 54.060 0.000 0.704 0.757
## 9 sb_ps_1 =~ sbps3w1 0.838 0.011 76.679 0.000 0.817 0.860
## 10 sb_ps_1 =~ sbiso1w1 -0.606 0.017 -35.540 0.000 -0.640 -0.573
## 11 sb_ps_1 =~ sbiso2w1 -0.586 0.018 -33.095 0.000 -0.621 -0.551
## 12 sb_ps_2 =~ sbps1w2 0.651 0.016 41.540 0.000 0.620 0.682
## 13 sb_ps_2 =~ sbps2w2 0.774 0.012 64.498 0.000 0.751 0.798
## 14 sb_ps_2 =~ sbps3w2 0.826 0.011 77.670 0.000 0.805 0.847
## 15 sb_ps_2 =~ sbiso1w2 -0.605 0.017 -35.550 0.000 -0.639 -0.572
## 16 sb_ps_2 =~ sbiso2w2 -0.598 0.017 -34.682 0.000 -0.632 -0.564
## 17 sb_ps_3 =~ sbps1w3 0.742 0.014 54.719 0.000 0.715 0.769
## 18 sb_ps_3 =~ sbps2w3 0.803 0.011 69.858 0.000 0.780 0.825
## 19 sb_ps_3 =~ sbps3w3 0.878 0.009 92.984 0.000 0.859 0.896
## 20 sb_ps_3 =~ sbiso1w3 -0.485 0.021 -22.845 0.000 -0.526 -0.443
## 21 sb_ps_3 =~ sbiso2w3 -0.449 0.022 -20.396 0.000 -0.493 -0.406
## 22 conf_2 ~ conf_1 0.704 0.018 39.986 0.000 0.669 0.738
## 23 conf_2 ~ sb_ps_1 -0.011 0.023 -0.485 0.627 -0.057 0.034
## 24 sb_ps_2 ~ conf_1 0.044 0.025 1.787 0.074 -0.004 0.092
## 25 sb_ps_2 ~ sb_ps_1 0.620 0.020 31.029 0.000 0.580 0.659
## 26 conf_3 ~ conf_2 0.733 0.017 43.068 0.000 0.699 0.766
## 27 conf_3 ~ sb_ps_2 0.030 0.023 1.302 0.193 -0.015 0.075
## 28 sb_ps_3 ~ conf_2 0.136 0.025 5.370 0.000 0.087 0.186
## 29 sb_ps_3 ~ sb_ps_2 0.653 0.020 33.103 0.000 0.615 0.692
## 30 conf_1 ~~ sb_ps_1 0.166 0.027 6.139 0.000 0.113 0.219
## 31 conf_2 ~~ sb_ps_2 0.176 0.034 5.131 0.000 0.109 0.243
## 32 conf_3 ~~ sb_ps_3 0.292 0.035 8.400 0.000 0.224 0.360
## 33 sbiso1w1 ~~ sbiso2w1 0.147 0.025 5.857 0.000 0.098 0.197
## 34 sbiso1w2 ~~ sbiso2w2 0.359 0.022 16.157 0.000 0.315 0.402
## 35 sbiso1w3 ~~ sbiso2w3 0.477 0.020 23.627 0.000 0.438 0.517
## 36 conf1w1 ~~ conf1w1 0.261 0.024 11.025 0.000 0.214 0.307
## 37 conf2w1 ~~ conf2w1 0.355 0.023 15.603 0.000 0.310 0.399
## 38 conf1w2 ~~ conf1w2 0.227 0.018 12.948 0.000 0.192 0.261
## 39 conf2w2 ~~ conf2w2 0.281 0.018 15.739 0.000 0.246 0.316
## 40 conf1w3 ~~ conf1w3 0.143 0.020 7.339 0.000 0.105 0.181
## 41 conf2w3 ~~ conf2w3 0.285 0.020 14.476 0.000 0.246 0.323
## 42 sbps1w1 ~~ sbps1w1 0.592 0.021 28.845 0.000 0.551 0.632
## 43 sbps2w1 ~~ sbps2w1 0.467 0.020 23.644 0.000 0.428 0.505
## 44 sbps3w1 ~~ sbps3w1 0.297 0.018 16.202 0.000 0.261 0.333
## 45 sbiso1w1 ~~ sbiso1w1 0.632 0.021 30.542 0.000 0.592 0.673
## 46 sbiso2w1 ~~ sbiso2w1 0.657 0.021 31.649 0.000 0.616 0.697
## 47 sbps1w2 ~~ sbps1w2 0.576 0.020 28.270 0.000 0.536 0.616
## 48 sbps2w2 ~~ sbps2w2 0.401 0.019 21.545 0.000 0.364 0.437
## 49 sbps3w2 ~~ sbps3w2 0.318 0.018 18.111 0.000 0.284 0.352
## 50 sbiso1w2 ~~ sbiso1w2 0.634 0.021 30.735 0.000 0.593 0.674
## 51 sbiso2w2 ~~ sbiso2w2 0.643 0.021 31.181 0.000 0.602 0.683
## 52 sbps1w3 ~~ sbps1w3 0.449 0.020 22.328 0.000 0.410 0.489
## 53 sbps2w3 ~~ sbps2w3 0.356 0.018 19.293 0.000 0.320 0.392
## 54 sbps3w3 ~~ sbps3w3 0.229 0.017 13.843 0.000 0.197 0.262
## 55 sbiso1w3 ~~ sbiso1w3 0.765 0.021 37.215 0.000 0.725 0.805
## 56 sbiso2w3 ~~ sbiso2w3 0.798 0.020 40.300 0.000 0.759 0.837
## 57 conf_1 ~~ conf_1 1.000 0.000 NA NA 1.000 1.000
## 58 conf_2 ~~ conf_2 0.507 0.024 21.270 0.000 0.461 0.554
## 59 conf_3 ~~ conf_3 0.454 0.024 19.077 0.000 0.407 0.500
## 60 sb_ps_1 ~~ sb_ps_1 1.000 0.000 NA NA 1.000 1.000
## 61 sb_ps_2 ~~ sb_ps_2 0.605 0.024 25.145 0.000 0.558 0.652
## 62 sb_ps_3 ~~ sb_ps_3 0.520 0.025 20.914 0.000 0.471 0.569
## 63 conf1w1 ~1 3.974 0.068 58.015 0.000 3.840 4.108
## 64 conf2w1 ~1 3.751 0.065 57.588 0.000 3.623 3.878
## 65 conf1w2 ~1 3.247 0.058 55.861 0.000 3.133 3.361
## 66 conf2w2 ~1 3.013 0.055 54.915 0.000 2.906 3.121
## 67 conf1w3 ~1 2.799 0.057 49.506 0.000 2.688 2.910
## 68 conf2w3 ~1 2.584 0.053 48.467 0.000 2.479 2.688
## 69 sbps1w1 ~1 2.461 0.046 53.260 0.000 2.370 2.551
## 70 sbps2w1 ~1 2.278 0.044 52.148 0.000 2.193 2.364
## 71 sbps3w1 ~1 2.179 0.042 51.550 0.000 2.096 2.261
## 72 sbiso1w1 ~1 1.979 0.040 50.009 0.000 1.902 2.057
## 73 sbiso2w1 ~1 1.983 0.040 50.012 0.000 1.905 2.061
## 74 sbps1w2 ~1 3.261 0.059 55.593 0.000 3.146 3.376
## 75 sbps2w2 ~1 2.700 0.050 53.749 0.000 2.601 2.798
## 76 sbps3w2 ~1 2.719 0.050 53.859 0.000 2.620 2.818
## 77 sbiso1w2 ~1 1.665 0.036 46.203 0.000 1.594 1.736
## 78 sbiso2w2 ~1 1.762 0.037 47.208 0.000 1.689 1.836
## 79 sbps1w3 ~1 3.092 0.061 50.456 0.000 2.972 3.212
## 80 sbps2w3 ~1 2.617 0.054 48.855 0.000 2.512 2.722
## 81 sbps3w3 ~1 2.794 0.056 49.702 0.000 2.684 2.904
## 82 sbiso1w3 ~1 1.741 0.040 43.826 0.000 1.663 1.819
## 83 sbiso2w3 ~1 1.966 0.043 45.736 0.000 1.882 2.051
## 84 conf_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 85 conf_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 86 conf_3 ~1 0.000 0.000 NA NA 0.000 0.000
## 87 sb_ps_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 88 sb_ps_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 89 sb_ps_3 ~1 0.000 0.000 NA NA 0.000 0.000## Warning in lav_data_full(data = data, group = group, cluster = cluster, : lavaan WARNING: some cases are empty and will be ignored:
## 320 617 968 1056## lavaan 0.6-6 ended normally after 69 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 65
##
## Used Total
## Number of observations 1956 1960
## Number of missing patterns 59
##
## Model Test User Model:
##
## Test statistic 1206.525
## Degrees of freedom 124
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 16157.099
## Degrees of freedom 153
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.932
## Tucker-Lewis Index (TLI) 0.917
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -51443.554
## Loglikelihood unrestricted model (H1) -50840.291
##
## Akaike (AIC) 103017.108
## Bayesian (BIC) 103379.720
## Sample-size adjusted Bayesian (BIC) 103173.213
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.067
## 90 Percent confidence interval - lower 0.063
## 90 Percent confidence interval - upper 0.070
## P-value RMSEA <= 0.05 0.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.045
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## conf_1 =~
## conf1w1 1.000 1.118 0.865
## conf2w1 0.967 0.031 30.975 0.000 1.081 0.799
## conf_2 =~
## conf1w2 1.000 1.298 0.887
## conf2w2 0.995 0.025 39.502 0.000 1.292 0.841
## conf_3 =~
## conf1w3 1.000 1.495 0.930
## conf2w3 0.930 0.025 37.336 0.000 1.391 0.842
## sb_fs_1 =~
## sbfs1w1 1.000 1.342 0.857
## sbfs2w1 0.941 0.026 36.623 0.000 1.263 0.804
## sbfs3w1 0.727 0.031 23.809 0.000 0.976 0.554
## sbfu1w1 0.627 0.024 25.621 0.000 0.842 0.588
## sb_fs_2 =~
## sbfs1w2 1.000 1.403 0.850
## sbfs2w2 0.974 0.025 38.934 0.000 1.367 0.819
## sbfs3w2 0.735 0.029 25.079 0.000 1.032 0.574
## sbfu1w2 0.601 0.024 25.060 0.000 0.844 0.578
## sb_fs_3 =~
## sbfs1w3 1.000 1.456 0.884
## sbfs2w3 0.945 0.025 37.349 0.000 1.376 0.827
## sbfs3w3 0.764 0.030 25.319 0.000 1.113 0.606
## sbfu1w3 0.728 0.026 27.781 0.000 1.060 0.656
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## conf_2 ~
## conf_1 0.802 0.036 22.273 0.000 0.691 0.691
## sb_fs_1 0.016 0.026 0.626 0.531 0.017 0.017
## sb_fs_2 ~
## conf_1 0.105 0.035 3.007 0.003 0.084 0.084
## sb_fs_1 0.641 0.031 20.412 0.000 0.613 0.613
## conf_3 ~
## conf_2 0.786 0.034 23.354 0.000 0.683 0.683
## sb_fs_2 0.112 0.029 3.902 0.000 0.106 0.106
## sb_fs_3 ~
## conf_2 0.152 0.034 4.493 0.000 0.135 0.135
## sb_fs_2 0.623 0.033 18.847 0.000 0.601 0.601
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## conf_1 ~~
## sb_fs_1 0.701 0.046 15.328 0.000 0.467 0.467
## .conf_2 ~~
## .sb_fs_2 0.408 0.037 11.180 0.000 0.416 0.416
## .conf_3 ~~
## .sb_fs_3 0.455 0.042 10.938 0.000 0.423 0.423
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .conf1w1 5.136 0.030 173.443 0.000 5.136 3.973
## .conf2w1 5.077 0.031 163.528 0.000 5.077 3.750
## .conf1w2 4.754 0.034 140.679 0.000 4.754 3.248
## .conf2w2 4.630 0.036 130.317 0.000 4.630 3.014
## .conf1w3 4.500 0.039 115.087 0.000 4.500 2.799
## .conf2w3 4.271 0.040 105.465 0.000 4.271 2.585
## .sbfs1w1 4.789 0.036 133.246 0.000 4.789 3.057
## .sbfs2w1 4.980 0.036 138.022 0.000 4.980 3.169
## .sbfs3w1 3.217 0.040 79.472 0.000 3.217 1.828
## .sbfu1w1 5.338 0.033 161.916 0.000 5.338 3.729
## .sbfs1w2 4.475 0.038 117.082 0.000 4.475 2.710
## .sbfs2w2 4.844 0.039 125.364 0.000 4.844 2.902
## .sbfs3w2 3.106 0.042 74.115 0.000 3.106 1.728
## .sbfu1w2 5.184 0.034 152.304 0.000 5.184 3.548
## .sbfs1w3 4.274 0.041 105.309 0.000 4.274 2.597
## .sbfs2w3 4.618 0.041 112.133 0.000 4.618 2.776
## .sbfs3w3 3.076 0.046 66.682 0.000 3.076 1.675
## .sbfu1w3 4.649 0.040 114.810 0.000 4.649 2.875
## conf_1 0.000 0.000 0.000
## .conf_2 0.000 0.000 0.000
## .conf_3 0.000 0.000 0.000
## sb_fs_1 0.000 0.000 0.000
## .sb_fs_2 0.000 0.000 0.000
## .sb_fs_3 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .conf1w1 0.420 0.035 11.990 0.000 0.420 0.252
## .conf2w1 0.664 0.037 17.893 0.000 0.664 0.362
## .conf1w2 0.458 0.034 13.460 0.000 0.458 0.214
## .conf2w2 0.689 0.038 18.119 0.000 0.689 0.292
## .conf1w3 0.349 0.044 7.854 0.000 0.349 0.135
## .conf2w3 0.796 0.047 17.053 0.000 0.796 0.292
## .sbfs1w1 0.651 0.040 16.171 0.000 0.651 0.265
## .sbfs2w1 0.874 0.042 20.838 0.000 0.874 0.354
## .sbfs3w1 2.145 0.076 28.381 0.000 2.145 0.693
## .sbfu1w1 1.341 0.048 27.932 0.000 1.341 0.654
## .sbfs1w2 0.759 0.042 17.978 0.000 0.759 0.278
## .sbfs2w2 0.916 0.044 20.735 0.000 0.916 0.329
## .sbfs3w2 2.167 0.078 27.910 0.000 2.167 0.671
## .sbfu1w2 1.423 0.051 27.892 0.000 1.423 0.666
## .sbfs1w3 0.591 0.041 14.267 0.000 0.591 0.218
## .sbfs2w3 0.874 0.046 19.081 0.000 0.874 0.316
## .sbfs3w3 2.134 0.083 25.681 0.000 2.134 0.633
## .sbfu1w3 1.490 0.060 25.023 0.000 1.490 0.570
## conf_1 1.251 0.062 20.271 0.000 1.000 1.000
## .conf_2 0.862 0.051 17.069 0.000 0.512 0.512
## .conf_3 1.010 0.063 16.131 0.000 0.452 0.452
## sb_fs_1 1.802 0.084 21.366 0.000 1.000 1.000
## .sb_fs_2 1.120 0.065 17.261 0.000 0.569 0.569
## .sb_fs_3 1.146 0.066 17.240 0.000 0.541 0.541## lhs op rhs est.std se z pvalue ci.lower ci.upper
## 1 conf_1 =~ conf1w1 0.865 0.013 68.804 0.000 0.841 0.890
## 2 conf_1 =~ conf2w1 0.799 0.013 60.312 0.000 0.773 0.824
## 3 conf_2 =~ conf1w2 0.887 0.009 94.068 0.000 0.868 0.905
## 4 conf_2 =~ conf2w2 0.841 0.010 81.961 0.000 0.821 0.861
## 5 conf_3 =~ conf1w3 0.930 0.010 97.555 0.000 0.911 0.949
## 6 conf_3 =~ conf2w3 0.842 0.011 76.617 0.000 0.820 0.863
## 7 sb_fs_1 =~ sbfs1w1 0.857 0.010 84.192 0.000 0.837 0.877
## 8 sb_fs_1 =~ sbfs2w1 0.804 0.011 71.435 0.000 0.782 0.826
## 9 sb_fs_1 =~ sbfs3w1 0.554 0.018 30.797 0.000 0.519 0.590
## 10 sb_fs_1 =~ sbfu1w1 0.588 0.017 34.261 0.000 0.554 0.622
## 11 sb_fs_2 =~ sbfs1w2 0.850 0.010 86.879 0.000 0.830 0.869
## 12 sb_fs_2 =~ sbfs2w2 0.819 0.010 78.660 0.000 0.799 0.840
## 13 sb_fs_2 =~ sbfs3w2 0.574 0.018 32.723 0.000 0.540 0.608
## 14 sb_fs_2 =~ sbfu1w2 0.578 0.017 33.101 0.000 0.543 0.612
## 15 sb_fs_3 =~ sbfs1w3 0.884 0.009 95.441 0.000 0.866 0.902
## 16 sb_fs_3 =~ sbfs2w3 0.827 0.011 76.180 0.000 0.806 0.848
## 17 sb_fs_3 =~ sbfs3w3 0.606 0.018 33.701 0.000 0.571 0.641
## 18 sb_fs_3 =~ sbfu1w3 0.656 0.016 40.022 0.000 0.624 0.688
## 19 conf_2 ~ conf_1 0.691 0.023 30.402 0.000 0.646 0.735
## 20 conf_2 ~ sb_fs_1 0.017 0.027 0.626 0.531 -0.036 0.070
## 21 sb_fs_2 ~ conf_1 0.084 0.028 3.019 0.003 0.029 0.138
## 22 sb_fs_2 ~ sb_fs_1 0.613 0.024 25.556 0.000 0.566 0.660
## 23 conf_3 ~ conf_2 0.683 0.023 30.077 0.000 0.638 0.727
## 24 conf_3 ~ sb_fs_2 0.106 0.027 3.919 0.000 0.053 0.158
## 25 sb_fs_3 ~ conf_2 0.135 0.030 4.536 0.000 0.077 0.194
## 26 sb_fs_3 ~ sb_fs_2 0.601 0.026 23.320 0.000 0.550 0.651
## 27 conf_1 ~~ sb_fs_1 0.467 0.023 20.439 0.000 0.422 0.512
## 28 conf_2 ~~ sb_fs_2 0.416 0.031 13.468 0.000 0.355 0.476
## 29 conf_3 ~~ sb_fs_3 0.423 0.031 13.514 0.000 0.362 0.484
## 30 conf1w1 ~~ conf1w1 0.252 0.022 11.561 0.000 0.209 0.294
## 31 conf2w1 ~~ conf2w1 0.362 0.021 17.136 0.000 0.321 0.404
## 32 conf1w2 ~~ conf1w2 0.214 0.017 12.771 0.000 0.181 0.246
## 33 conf2w2 ~~ conf2w2 0.292 0.017 16.916 0.000 0.258 0.326
## 34 conf1w3 ~~ conf1w3 0.135 0.018 7.623 0.000 0.100 0.170
## 35 conf2w3 ~~ conf2w3 0.292 0.018 15.762 0.000 0.255 0.328
## 36 sbfs1w1 ~~ sbfs1w1 0.265 0.017 15.211 0.000 0.231 0.300
## 37 sbfs2w1 ~~ sbfs2w1 0.354 0.018 19.583 0.000 0.319 0.390
## 38 sbfs3w1 ~~ sbfs3w1 0.693 0.020 34.712 0.000 0.654 0.732
## 39 sbfu1w1 ~~ sbfu1w1 0.654 0.020 32.424 0.000 0.615 0.694
## 40 sbfs1w2 ~~ sbfs1w2 0.278 0.017 16.738 0.000 0.246 0.311
## 41 sbfs2w2 ~~ sbfs2w2 0.329 0.017 19.283 0.000 0.296 0.362
## 42 sbfs3w2 ~~ sbfs3w2 0.671 0.020 33.303 0.000 0.631 0.710
## 43 sbfu1w2 ~~ sbfu1w2 0.666 0.020 33.057 0.000 0.627 0.706
## 44 sbfs1w3 ~~ sbfs1w3 0.218 0.016 13.311 0.000 0.186 0.250
## 45 sbfs2w3 ~~ sbfs2w3 0.316 0.018 17.593 0.000 0.281 0.351
## 46 sbfs3w3 ~~ sbfs3w3 0.633 0.022 29.059 0.000 0.590 0.676
## 47 sbfu1w3 ~~ sbfu1w3 0.570 0.021 26.517 0.000 0.528 0.612
## 48 conf_1 ~~ conf_1 1.000 0.000 NA NA 1.000 1.000
## 49 conf_2 ~~ conf_2 0.512 0.024 21.548 0.000 0.465 0.558
## 50 conf_3 ~~ conf_3 0.452 0.023 19.416 0.000 0.406 0.498
## 51 sb_fs_1 ~~ sb_fs_1 1.000 0.000 NA NA 1.000 1.000
## 52 sb_fs_2 ~~ sb_fs_2 0.569 0.024 24.158 0.000 0.523 0.615
## 53 sb_fs_3 ~~ sb_fs_3 0.541 0.024 22.202 0.000 0.493 0.589
## 54 conf1w1 ~1 3.973 0.068 58.003 0.000 3.839 4.107
## 55 conf2w1 ~1 3.750 0.065 57.578 0.000 3.622 3.878
## 56 conf1w2 ~1 3.248 0.058 55.893 0.000 3.134 3.361
## 57 conf2w2 ~1 3.014 0.055 54.934 0.000 2.907 3.122
## 58 conf1w3 ~1 2.799 0.056 49.597 0.000 2.689 2.910
## 59 conf2w3 ~1 2.585 0.053 48.514 0.000 2.480 2.689
## 60 sbfs1w1 ~1 3.057 0.055 55.654 0.000 2.950 3.165
## 61 sbfs2w1 ~1 3.169 0.057 56.038 0.000 3.058 3.280
## 62 sbfs3w1 ~1 1.828 0.038 48.511 0.000 1.754 1.902
## 63 sbfu1w1 ~1 3.729 0.065 57.211 0.000 3.601 3.857
## 64 sbfs1w2 ~1 2.710 0.050 53.977 0.000 2.611 2.808
## 65 sbfs2w2 ~1 2.902 0.053 54.722 0.000 2.798 3.006
## 66 sbfs3w2 ~1 1.728 0.037 46.945 0.000 1.656 1.800
## 67 sbfu1w2 ~1 3.548 0.063 56.263 0.000 3.424 3.671
## 68 sbfs1w3 ~1 2.597 0.053 48.670 0.000 2.492 2.701
## 69 sbfs2w3 ~1 2.776 0.056 49.287 0.000 2.665 2.886
## 70 sbfs3w3 ~1 1.675 0.040 42.003 0.000 1.597 1.753
## 71 sbfu1w3 ~1 2.875 0.058 49.414 0.000 2.761 2.990
## 72 conf_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 73 conf_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 74 conf_3 ~1 0.000 0.000 NA NA 0.000 0.000
## 75 sb_fs_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 76 sb_fs_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 77 sb_fs_3 ~1 0.000 0.000 NA NA 0.000 0.000## Warning in lav_data_full(data = data, group = group, cluster = cluster, : lavaan WARNING: some cases are empty and will be ignored:
## 320 617 968 1056## lavaan 0.6-6 ended normally after 77 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 56
##
## Used Total
## Number of observations 1956 1960
## Number of clusters [id] 1960
## Number of missing patterns 45
##
## Model Test User Model:
## Standard Robust
## Test Statistic 633.161 552.146
## Degrees of freedom 79 79
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.147
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 14603.603 11295.826
## Degrees of freedom 105 105
## P-value 0.000 0.000
## Scaling correction factor 1.293
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.962 0.958
## Tucker-Lewis Index (TLI) 0.949 0.944
##
## Robust Comparative Fit Index (CFI) 0.962
## Robust Tucker-Lewis Index (TLI) 0.950
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -38480.784 -38480.784
## Scaling correction factor 1.356
## for the MLR correction
## Loglikelihood unrestricted model (H1) -38164.203 -38164.203
## Scaling correction factor 1.234
## for the MLR correction
##
## Akaike (AIC) 77073.568 77073.568
## Bayesian (BIC) 77385.972 77385.972
## Sample-size adjusted Bayesian (BIC) 77208.059 77208.059
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.060 0.055
## 90 Percent confidence interval - lower 0.056 0.051
## 90 Percent confidence interval - upper 0.064 0.059
## P-value RMSEA <= 0.05 0.000 0.015
##
## Robust RMSEA 0.059
## 90 Percent confidence interval - lower 0.055
## 90 Percent confidence interval - upper 0.064
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.034 0.034
##
## Parameter Estimates:
##
## Standard errors Robust.cluster
## Information Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## int_1 =~
## int5w1 1.000 0.913 0.842
## int6w1 0.895 0.025 36.203 0.000 0.817 0.739
## int7w1 0.871 0.028 31.543 0.000 0.795 0.758
## int_2 =~
## int5w2 1.000 1.037 0.858
## int6w2 0.954 0.026 36.697 0.000 0.989 0.778
## int7w2 0.894 0.025 35.530 0.000 0.927 0.796
## int_3 =~
## int5w3 1.000 1.115 0.883
## int6w3 0.943 0.028 33.388 0.000 1.052 0.783
## int7w3 0.847 0.028 30.752 0.000 0.945 0.788
## sb_cc_1 =~
## sbcc1w1 1.000 1.463 0.871
## sbcc2w1 0.959 0.030 31.941 0.000 1.404 0.841
## sb_cc_2 =~
## sbcc1w2 1.000 1.478 0.850
## sbcc2w2 0.998 0.028 35.753 0.000 1.474 0.838
## sb_cc_3 =~
## sbcc1w3 1.000 1.478 0.848
## sbcc2w3 1.019 0.033 31.214 0.000 1.506 0.871
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## int_2 ~
## int_1 0.848 0.035 24.088 0.000 0.746 0.746
## sb_cc_1 -0.010 0.018 -0.589 0.556 -0.015 -0.015
## sb_cc_2 ~
## int_1 0.064 0.042 1.506 0.132 0.039 0.039
## sb_cc_1 0.687 0.030 22.961 0.000 0.680 0.680
## int_3 ~
## int_2 0.856 0.035 24.479 0.000 0.796 0.796
## sb_cc_2 0.040 0.019 2.086 0.037 0.053 0.053
## sb_cc_3 ~
## int_2 0.140 0.041 3.367 0.001 0.098 0.098
## sb_cc_2 0.683 0.034 20.316 0.000 0.683 0.683
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## int_1 ~~
## sb_cc_1 0.455 0.037 12.177 0.000 0.340 0.340
## .int_2 ~~
## .sb_cc_2 0.234 0.032 7.315 0.000 0.316 0.316
## .int_3 ~~
## .sb_cc_3 0.159 0.033 4.749 0.000 0.241 0.241
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .int5w1 5.802 0.025 233.569 0.000 5.802 5.353
## .int6w1 5.794 0.025 228.463 0.000 5.794 5.236
## .int7w1 5.133 0.024 213.629 0.000 5.133 4.892
## .int5w2 5.655 0.028 203.216 0.000 5.655 4.680
## .int6w2 5.690 0.029 193.638 0.000 5.690 4.472
## .int7w2 5.022 0.027 186.562 0.000 5.022 4.310
## .int5w3 5.500 0.031 177.949 0.000 5.500 4.355
## .int6w3 5.535 0.033 165.912 0.000 5.535 4.121
## .int7w3 4.823 0.029 164.913 0.000 4.823 4.022
## .sbcc1w1 3.716 0.038 96.560 0.000 3.716 2.213
## .sbcc2w1 4.093 0.038 106.888 0.000 4.093 2.453
## .sbcc1w2 3.811 0.040 94.783 0.000 3.811 2.193
## .sbcc2w2 4.102 0.041 100.668 0.000 4.102 2.332
## .sbcc1w3 3.901 0.043 91.204 0.000 3.901 2.238
## .sbcc2w3 4.002 0.042 94.325 0.000 4.002 2.314
## int_1 0.000 0.000 0.000
## .int_2 0.000 0.000 0.000
## .int_3 0.000 0.000 0.000
## sb_cc_1 0.000 0.000 0.000
## .sb_cc_2 0.000 0.000 0.000
## .sb_cc_3 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .int5w1 0.341 0.030 11.530 0.000 0.341 0.291
## .int6w1 0.556 0.027 20.413 0.000 0.556 0.454
## .int7w1 0.468 0.034 13.944 0.000 0.468 0.425
## .int5w2 0.384 0.025 15.113 0.000 0.384 0.263
## .int6w2 0.640 0.036 17.926 0.000 0.640 0.395
## .int7w2 0.498 0.037 13.547 0.000 0.498 0.367
## .int5w3 0.351 0.026 13.631 0.000 0.351 0.220
## .int6w3 0.697 0.044 15.968 0.000 0.697 0.387
## .int7w3 0.545 0.043 12.599 0.000 0.545 0.379
## .sbcc1w1 0.680 0.073 9.326 0.000 0.680 0.241
## .sbcc2w1 0.814 0.065 12.524 0.000 0.814 0.292
## .sbcc1w2 0.836 0.072 11.670 0.000 0.836 0.277
## .sbcc2w2 0.922 0.075 12.373 0.000 0.922 0.298
## .sbcc1w3 0.854 0.087 9.857 0.000 0.854 0.281
## .sbcc2w3 0.721 0.081 8.935 0.000 0.721 0.241
## int_1 0.833 0.045 18.583 0.000 1.000 1.000
## .int_2 0.484 0.049 9.890 0.000 0.450 0.450
## .int_3 0.415 0.038 10.818 0.000 0.334 0.334
## sb_cc_1 2.141 0.099 21.595 0.000 1.000 1.000
## .sb_cc_2 1.130 0.080 14.136 0.000 0.517 0.517
## .sb_cc_3 1.043 0.079 13.149 0.000 0.478 0.478## lhs op rhs est.std se z pvalue ci.lower ci.upper
## 1 int_1 =~ int5w1 0.842 0.014 58.894 0.000 0.814 0.870
## 2 int_1 =~ int6w1 0.739 0.015 49.102 0.000 0.709 0.768
## 3 int_1 =~ int7w1 0.758 0.017 44.710 0.000 0.725 0.791
## 4 int_2 =~ int5w2 0.858 0.011 77.593 0.000 0.837 0.880
## 5 int_2 =~ int6w2 0.778 0.015 52.092 0.000 0.748 0.807
## 6 int_2 =~ int7w2 0.796 0.016 49.855 0.000 0.765 0.827
## 7 int_3 =~ int5w3 0.883 0.010 89.406 0.000 0.864 0.902
## 8 int_3 =~ int6w3 0.783 0.016 48.918 0.000 0.752 0.815
## 9 int_3 =~ int7w3 0.788 0.017 45.039 0.000 0.754 0.822
## 10 sb_cc_1 =~ sbcc1w1 0.871 0.015 58.208 0.000 0.842 0.901
## 11 sb_cc_1 =~ sbcc2w1 0.841 0.014 59.530 0.000 0.813 0.869
## 12 sb_cc_2 =~ sbcc1w2 0.850 0.014 59.701 0.000 0.823 0.878
## 13 sb_cc_2 =~ sbcc2w2 0.838 0.015 57.400 0.000 0.809 0.866
## 14 sb_cc_3 =~ sbcc1w3 0.848 0.017 50.243 0.000 0.815 0.881
## 15 sb_cc_3 =~ sbcc2w3 0.871 0.016 55.642 0.000 0.840 0.902
## 16 int_2 ~ int_1 0.746 0.023 33.020 0.000 0.702 0.791
## 17 int_2 ~ sb_cc_1 -0.015 0.025 -0.590 0.555 -0.064 0.034
## 18 sb_cc_2 ~ int_1 0.039 0.026 1.513 0.130 -0.012 0.091
## 19 sb_cc_2 ~ sb_cc_1 0.680 0.023 29.309 0.000 0.635 0.726
## 20 int_3 ~ int_2 0.796 0.021 38.151 0.000 0.756 0.837
## 21 int_3 ~ sb_cc_2 0.053 0.025 2.087 0.037 0.003 0.102
## 22 sb_cc_3 ~ int_2 0.098 0.029 3.384 0.001 0.041 0.155
## 23 sb_cc_3 ~ sb_cc_2 0.683 0.024 28.282 0.000 0.636 0.731
## 24 int_1 ~~ sb_cc_1 0.340 0.025 13.655 0.000 0.292 0.389
## 25 int_2 ~~ sb_cc_2 0.316 0.039 8.161 0.000 0.240 0.392
## 26 int_3 ~~ sb_cc_3 0.241 0.049 4.938 0.000 0.146 0.337
## 27 int5w1 ~~ int5w1 0.291 0.024 12.066 0.000 0.243 0.338
## 28 int6w1 ~~ int6w1 0.454 0.022 20.435 0.000 0.411 0.498
## 29 int7w1 ~~ int7w1 0.425 0.026 16.553 0.000 0.375 0.476
## 30 int5w2 ~~ int5w2 0.263 0.019 13.860 0.000 0.226 0.300
## 31 int6w2 ~~ int6w2 0.395 0.023 17.019 0.000 0.350 0.441
## 32 int7w2 ~~ int7w2 0.367 0.025 14.429 0.000 0.317 0.416
## 33 int5w3 ~~ int5w3 0.220 0.017 12.616 0.000 0.186 0.254
## 34 int6w3 ~~ int6w3 0.387 0.025 15.416 0.000 0.337 0.436
## 35 int7w3 ~~ int7w3 0.379 0.028 13.752 0.000 0.325 0.433
## 36 sbcc1w1 ~~ sbcc1w1 0.241 0.026 9.244 0.000 0.190 0.292
## 37 sbcc2w1 ~~ sbcc2w1 0.292 0.024 12.304 0.000 0.246 0.339
## 38 sbcc1w2 ~~ sbcc1w2 0.277 0.024 11.421 0.000 0.229 0.324
## 39 sbcc2w2 ~~ sbcc2w2 0.298 0.024 12.181 0.000 0.250 0.346
## 40 sbcc1w3 ~~ sbcc1w3 0.281 0.029 9.828 0.000 0.225 0.337
## 41 sbcc2w3 ~~ sbcc2w3 0.241 0.027 8.844 0.000 0.188 0.295
## 42 int_1 ~~ int_1 1.000 0.000 NA NA 1.000 1.000
## 43 int_2 ~~ int_2 0.450 0.031 14.391 0.000 0.389 0.512
## 44 int_3 ~~ int_3 0.334 0.027 12.420 0.000 0.281 0.387
## 45 sb_cc_1 ~~ sb_cc_1 1.000 0.000 NA NA 1.000 1.000
## 46 sb_cc_2 ~~ sb_cc_2 0.517 0.028 18.384 0.000 0.462 0.573
## 47 sb_cc_3 ~~ sb_cc_3 0.478 0.029 16.295 0.000 0.420 0.535
## 48 int5w1 ~1 5.353 0.115 46.724 0.000 5.128 5.577
## 49 int6w1 ~1 5.236 0.107 49.051 0.000 5.027 5.446
## 50 int7w1 ~1 4.892 0.090 54.427 0.000 4.716 5.068
## 51 int5w2 ~1 4.680 0.114 40.964 0.000 4.456 4.904
## 52 int6w2 ~1 4.472 0.109 41.046 0.000 4.258 4.685
## 53 int7w2 ~1 4.310 0.097 44.213 0.000 4.119 4.501
## 54 int5w3 ~1 4.355 0.106 41.055 0.000 4.147 4.563
## 55 int6w3 ~1 4.121 0.102 40.552 0.000 3.922 4.320
## 56 int7w3 ~1 4.022 0.089 45.356 0.000 3.848 4.196
## 57 sbcc1w1 ~1 2.213 0.033 66.080 0.000 2.147 2.278
## 58 sbcc2w1 ~1 2.453 0.038 64.831 0.000 2.378 2.527
## 59 sbcc1w2 ~1 2.193 0.035 63.394 0.000 2.125 2.261
## 60 sbcc2w2 ~1 2.332 0.038 61.507 0.000 2.257 2.406
## 61 sbcc1w3 ~1 2.238 0.039 56.797 0.000 2.161 2.315
## 62 sbcc2w3 ~1 2.314 0.042 55.504 0.000 2.232 2.396
## 63 int_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 64 int_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 65 int_3 ~1 0.000 0.000 NA NA 0.000 0.000
## 66 sb_cc_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 67 sb_cc_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 68 sb_cc_3 ~1 0.000 0.000 NA NA 0.000 0.000## Warning in lav_data_full(data = data, group = group, cluster = cluster, : lavaan WARNING: some cases are empty and will be ignored:
## 320 617 968 1056## lavaan 0.6-6 ended normally after 85 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 86
##
## Used Total
## Number of observations 1956 1960
## Number of missing patterns 57
##
## Model Test User Model:
##
## Test statistic 1608.312
## Degrees of freedom 238
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 20705.597
## Degrees of freedom 276
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.933
## Tucker-Lewis Index (TLI) 0.922
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -68955.239
## Loglikelihood unrestricted model (H1) -68151.084
##
## Akaike (AIC) 138082.479
## Bayesian (BIC) 138562.243
## Sample-size adjusted Bayesian (BIC) 138289.019
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.054
## 90 Percent confidence interval - lower 0.052
## 90 Percent confidence interval - upper 0.057
## P-value RMSEA <= 0.05 0.003
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.044
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## int_1 =~
## int5w1 1.000 0.915 0.844
## int6w1 0.900 0.027 32.938 0.000 0.823 0.744
## int7w1 0.862 0.026 33.144 0.000 0.788 0.751
## int_2 =~
## int5w2 1.000 1.038 0.859
## int6w2 0.954 0.025 38.269 0.000 0.991 0.779
## int7w2 0.889 0.023 38.804 0.000 0.923 0.792
## int_3 =~
## int5w3 1.000 1.114 0.882
## int6w3 0.952 0.028 34.494 0.000 1.060 0.789
## int7w3 0.845 0.025 34.117 0.000 0.941 0.785
## sb_ps_1 =~
## sbps1w1 1.000 1.266 0.639
## sbps2w1 1.066 0.042 25.380 0.000 1.349 0.730
## sbps3w1 1.275 0.047 27.308 0.000 1.614 0.839
## sbiso1w1 -0.989 0.045 -21.854 0.000 -1.252 -0.607
## sbiso2w1 -0.819 0.039 -21.086 0.000 -1.037 -0.586
## sb_ps_2 =~
## sbps1w2 1.000 1.106 0.653
## sbps2w2 1.247 0.046 26.944 0.000 1.379 0.773
## sbps3w2 1.344 0.048 28.104 0.000 1.486 0.824
## sbiso1w2 -1.124 0.051 -21.999 0.000 -1.244 -0.607
## sbiso2w2 -1.045 0.048 -21.591 0.000 -1.156 -0.598
## sb_ps_3 =~
## sbps1w3 1.000 1.274 0.744
## sbps2w3 1.122 0.037 30.259 0.000 1.428 0.803
## sbps3w3 1.210 0.037 32.652 0.000 1.542 0.876
## sbiso1w3 -0.762 0.042 -18.164 0.000 -0.970 -0.489
## sbiso2w3 -0.659 0.039 -16.750 0.000 -0.840 -0.452
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## int_2 ~
## int_1 0.838 0.030 27.692 0.000 0.738 0.738
## sb_ps_1 0.017 0.018 0.964 0.335 0.021 0.021
## sb_ps_2 ~
## int_1 0.091 0.030 3.074 0.002 0.076 0.076
## sb_ps_1 0.539 0.030 17.768 0.000 0.617 0.617
## int_3 ~
## int_2 0.872 0.030 29.364 0.000 0.813 0.813
## sb_ps_2 0.012 0.022 0.549 0.583 0.012 0.012
## sb_ps_3 ~
## int_2 0.140 0.033 4.203 0.000 0.114 0.114
## sb_ps_2 0.754 0.040 18.888 0.000 0.655 0.655
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## int_1 ~~
## sb_ps_1 0.160 0.032 4.914 0.000 0.138 0.138
## .int_2 ~~
## .sb_ps_2 0.135 0.022 6.120 0.000 0.225 0.225
## .int_3 ~~
## .sb_ps_3 0.184 0.025 7.257 0.000 0.310 0.310
## .sbiso1w1 ~~
## .sbiso2w1 0.347 0.063 5.512 0.000 0.347 0.147
## .sbiso1w2 ~~
## .sbiso2w2 0.905 0.072 12.648 0.000 0.905 0.358
## .sbiso1w3 ~~
## .sbiso2w3 1.367 0.085 16.081 0.000 1.367 0.476
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .int5w1 5.802 0.025 233.882 0.000 5.802 5.352
## .int6w1 5.794 0.025 228.600 0.000 5.794 5.236
## .int7w1 5.133 0.024 213.572 0.000 5.133 4.892
## .int5w2 5.655 0.028 203.141 0.000 5.655 4.682
## .int6w2 5.690 0.029 193.584 0.000 5.690 4.473
## .int7w2 5.022 0.027 186.610 0.000 5.022 4.311
## .int5w3 5.499 0.031 179.840 0.000 5.499 4.353
## .int6w3 5.533 0.033 168.575 0.000 5.533 4.117
## .int7w3 4.822 0.029 164.573 0.000 4.822 4.022
## .sbps1w1 4.878 0.046 107.100 0.000 4.878 2.461
## .sbps2w1 4.208 0.042 99.107 0.000 4.208 2.278
## .sbps3w1 4.192 0.044 94.932 0.000 4.192 2.179
## .sbiso1w1 4.084 0.047 86.128 0.000 4.084 1.979
## .sbiso2w1 3.512 0.041 86.237 0.000 3.512 1.983
## .sbps1w2 5.526 0.039 140.236 0.000 5.526 3.261
## .sbps2w2 4.815 0.041 116.411 0.000 4.815 2.700
## .sbps3w2 4.902 0.042 117.372 0.000 4.902 2.720
## .sbiso1w2 3.414 0.048 71.560 0.000 3.414 1.665
## .sbiso2w2 3.411 0.045 75.657 0.000 3.411 1.763
## .sbps1w3 5.285 0.043 124.079 0.000 5.285 3.087
## .sbps2w3 4.646 0.044 105.301 0.000 4.646 2.612
## .sbps3w3 4.904 0.043 112.918 0.000 4.904 2.788
## .sbiso1w3 3.455 0.050 69.031 0.000 3.455 1.741
## .sbiso2w3 3.654 0.047 77.788 0.000 3.654 1.966
## int_1 0.000 0.000 0.000
## .int_2 0.000 0.000 0.000
## .int_3 0.000 0.000 0.000
## sb_ps_1 0.000 0.000 0.000
## .sb_ps_2 0.000 0.000 0.000
## .sb_ps_3 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .int5w1 0.338 0.020 17.024 0.000 0.338 0.288
## .int6w1 0.547 0.023 23.828 0.000 0.547 0.447
## .int7w1 0.479 0.020 23.441 0.000 0.479 0.435
## .int5w2 0.381 0.020 18.953 0.000 0.381 0.261
## .int6w2 0.636 0.026 24.166 0.000 0.636 0.393
## .int7w2 0.505 0.022 23.465 0.000 0.505 0.372
## .int5w3 0.355 0.023 15.221 0.000 0.355 0.223
## .int6w3 0.682 0.031 21.910 0.000 0.682 0.378
## .int7w3 0.553 0.025 22.013 0.000 0.553 0.384
## .sbps1w1 2.328 0.087 26.779 0.000 2.328 0.592
## .sbps2w1 1.592 0.066 24.091 0.000 1.592 0.467
## .sbps3w1 1.097 0.064 17.160 0.000 1.097 0.296
## .sbiso1w1 2.690 0.099 27.192 0.000 2.690 0.632
## .sbiso2w1 2.060 0.075 27.393 0.000 2.060 0.657
## .sbps1w2 1.649 0.062 26.460 0.000 1.649 0.574
## .sbps2w2 1.279 0.056 22.766 0.000 1.279 0.402
## .sbps3w2 1.041 0.053 19.535 0.000 1.041 0.320
## .sbiso1w2 2.656 0.098 27.147 0.000 2.656 0.632
## .sbiso2w2 2.407 0.088 27.235 0.000 2.407 0.643
## .sbps1w3 1.308 0.057 22.920 0.000 1.308 0.447
## .sbps2w3 1.122 0.054 20.652 0.000 1.122 0.355
## .sbps3w3 0.717 0.048 14.946 0.000 0.717 0.232
## .sbiso1w3 2.997 0.113 26.571 0.000 2.997 0.761
## .sbiso2w3 2.751 0.103 26.782 0.000 2.751 0.796
## int_1 0.837 0.040 20.794 0.000 1.000 1.000
## .int_2 0.485 0.029 16.799 0.000 0.450 0.450
## .int_3 0.414 0.029 14.158 0.000 0.334 0.334
## sb_ps_1 1.602 0.112 14.366 0.000 1.000 1.000
## .sb_ps_2 0.735 0.054 13.709 0.000 0.601 0.601
## .sb_ps_3 0.845 0.058 14.469 0.000 0.521 0.521## lhs op rhs est.std se z pvalue ci.lower ci.upper
## 1 int_1 =~ int5w1 0.844 0.011 79.212 0.000 0.823 0.865
## 2 int_1 =~ int6w1 0.744 0.013 57.157 0.000 0.718 0.769
## 3 int_1 =~ int7w1 0.751 0.013 58.598 0.000 0.726 0.777
## 4 int_2 =~ int5w2 0.859 0.009 98.543 0.000 0.842 0.877
## 5 int_2 =~ int6w2 0.779 0.011 70.214 0.000 0.757 0.801
## 6 int_2 =~ int7w2 0.792 0.011 73.835 0.000 0.771 0.813
## 7 int_3 =~ int5w3 0.882 0.009 97.060 0.000 0.864 0.899
## 8 int_3 =~ int6w3 0.789 0.012 65.661 0.000 0.765 0.812
## 9 int_3 =~ int7w3 0.785 0.012 64.329 0.000 0.761 0.808
## 10 sb_ps_1 =~ sbps1w1 0.639 0.016 39.769 0.000 0.607 0.670
## 11 sb_ps_1 =~ sbps2w1 0.730 0.014 54.021 0.000 0.704 0.757
## 12 sb_ps_1 =~ sbps3w1 0.839 0.011 76.760 0.000 0.817 0.860
## 13 sb_ps_1 =~ sbiso1w1 -0.607 0.017 -35.577 0.000 -0.640 -0.573
## 14 sb_ps_1 =~ sbiso2w1 -0.586 0.018 -33.068 0.000 -0.620 -0.551
## 15 sb_ps_2 =~ sbps1w2 0.653 0.016 41.808 0.000 0.622 0.683
## 16 sb_ps_2 =~ sbps2w2 0.773 0.012 64.356 0.000 0.750 0.797
## 17 sb_ps_2 =~ sbps3w2 0.824 0.011 77.394 0.000 0.804 0.845
## 18 sb_ps_2 =~ sbiso1w2 -0.607 0.017 -35.735 0.000 -0.640 -0.573
## 19 sb_ps_2 =~ sbiso2w2 -0.598 0.017 -34.681 0.000 -0.631 -0.564
## 20 sb_ps_3 =~ sbps1w3 0.744 0.014 54.972 0.000 0.717 0.770
## 21 sb_ps_3 =~ sbps2w3 0.803 0.011 69.878 0.000 0.781 0.826
## 22 sb_ps_3 =~ sbps3w3 0.876 0.009 92.325 0.000 0.858 0.895
## 23 sb_ps_3 =~ sbiso1w3 -0.489 0.021 -23.098 0.000 -0.530 -0.448
## 24 sb_ps_3 =~ sbiso2w3 -0.452 0.022 -20.483 0.000 -0.495 -0.408
## 25 int_2 ~ int_1 0.738 0.016 46.939 0.000 0.708 0.769
## 26 int_2 ~ sb_ps_1 0.021 0.022 0.965 0.335 -0.022 0.064
## 27 sb_ps_2 ~ int_1 0.076 0.024 3.096 0.002 0.028 0.123
## 28 sb_ps_2 ~ sb_ps_1 0.617 0.020 31.168 0.000 0.578 0.656
## 29 int_3 ~ int_2 0.813 0.015 54.910 0.000 0.784 0.842
## 30 int_3 ~ sb_ps_2 0.012 0.022 0.549 0.583 -0.031 0.055
## 31 sb_ps_3 ~ int_2 0.114 0.027 4.257 0.000 0.062 0.167
## 32 sb_ps_3 ~ sb_ps_2 0.655 0.020 32.318 0.000 0.615 0.694
## 33 int_1 ~~ sb_ps_1 0.138 0.027 5.078 0.000 0.085 0.191
## 34 int_2 ~~ sb_ps_2 0.225 0.034 6.550 0.000 0.158 0.293
## 35 int_3 ~~ sb_ps_3 0.310 0.039 8.020 0.000 0.235 0.386
## 36 sbiso1w1 ~~ sbiso2w1 0.147 0.025 5.854 0.000 0.098 0.197
## 37 sbiso1w2 ~~ sbiso2w2 0.358 0.022 16.118 0.000 0.315 0.402
## 38 sbiso1w3 ~~ sbiso2w3 0.476 0.020 23.495 0.000 0.436 0.516
## 39 int5w1 ~~ int5w1 0.288 0.018 15.995 0.000 0.252 0.323
## 40 int6w1 ~~ int6w1 0.447 0.019 23.080 0.000 0.409 0.485
## 41 int7w1 ~~ int7w1 0.435 0.019 22.588 0.000 0.398 0.473
## 42 int5w2 ~~ int5w2 0.261 0.015 17.437 0.000 0.232 0.291
## 43 int6w2 ~~ int6w2 0.393 0.017 22.748 0.000 0.359 0.427
## 44 int7w2 ~~ int7w2 0.372 0.017 21.911 0.000 0.339 0.406
## 45 int5w3 ~~ int5w3 0.223 0.016 13.901 0.000 0.191 0.254
## 46 int6w3 ~~ int6w3 0.378 0.019 19.939 0.000 0.341 0.415
## 47 int7w3 ~~ int7w3 0.384 0.019 20.087 0.000 0.347 0.422
## 48 sbps1w1 ~~ sbps1w1 0.592 0.021 28.889 0.000 0.552 0.632
## 49 sbps2w1 ~~ sbps2w1 0.467 0.020 23.644 0.000 0.428 0.505
## 50 sbps3w1 ~~ sbps3w1 0.296 0.018 16.160 0.000 0.260 0.332
## 51 sbiso1w1 ~~ sbiso1w1 0.632 0.021 30.526 0.000 0.591 0.672
## 52 sbiso2w1 ~~ sbiso2w1 0.657 0.021 31.658 0.000 0.616 0.698
## 53 sbps1w2 ~~ sbps1w2 0.574 0.020 28.177 0.000 0.534 0.614
## 54 sbps2w2 ~~ sbps2w2 0.402 0.019 21.631 0.000 0.366 0.438
## 55 sbps3w2 ~~ sbps3w2 0.320 0.018 18.236 0.000 0.286 0.355
## 56 sbiso1w2 ~~ sbiso1w2 0.632 0.021 30.684 0.000 0.592 0.672
## 57 sbiso2w2 ~~ sbiso2w2 0.643 0.021 31.217 0.000 0.603 0.683
## 58 sbps1w3 ~~ sbps1w3 0.447 0.020 22.174 0.000 0.407 0.486
## 59 sbps2w3 ~~ sbps2w3 0.355 0.018 19.222 0.000 0.319 0.391
## 60 sbps3w3 ~~ sbps3w3 0.232 0.017 13.931 0.000 0.199 0.264
## 61 sbiso1w3 ~~ sbiso1w3 0.761 0.021 36.749 0.000 0.720 0.801
## 62 sbiso2w3 ~~ sbiso2w3 0.796 0.020 39.962 0.000 0.757 0.835
## 63 int_1 ~~ int_1 1.000 0.000 NA NA 1.000 1.000
## 64 int_2 ~~ int_2 0.450 0.023 19.931 0.000 0.406 0.494
## 65 int_3 ~~ int_3 0.334 0.022 15.317 0.000 0.291 0.377
## 66 sb_ps_1 ~~ sb_ps_1 1.000 0.000 NA NA 1.000 1.000
## 67 sb_ps_2 ~~ sb_ps_2 0.601 0.024 24.983 0.000 0.553 0.648
## 68 sb_ps_3 ~~ sb_ps_3 0.521 0.025 20.947 0.000 0.472 0.570
## 69 int5w1 ~1 5.352 0.090 59.342 0.000 5.175 5.529
## 70 int6w1 ~1 5.236 0.088 59.313 0.000 5.063 5.409
## 71 int7w1 ~1 4.892 0.083 59.011 0.000 4.730 5.055
## 72 int5w2 ~1 4.682 0.080 58.384 0.000 4.524 4.839
## 73 int6w2 ~1 4.473 0.077 58.053 0.000 4.322 4.624
## 74 int7w2 ~1 4.311 0.075 57.802 0.000 4.165 4.457
## 75 int5w3 ~1 4.353 0.084 51.728 0.000 4.188 4.518
## 76 int6w3 ~1 4.117 0.080 51.251 0.000 3.960 4.275
## 77 int7w3 ~1 4.022 0.079 51.120 0.000 3.867 4.176
## 78 sbps1w1 ~1 2.461 0.046 53.259 0.000 2.370 2.551
## 79 sbps2w1 ~1 2.278 0.044 52.147 0.000 2.192 2.364
## 80 sbps3w1 ~1 2.179 0.042 51.550 0.000 2.096 2.261
## 81 sbiso1w1 ~1 1.979 0.040 50.009 0.000 1.902 2.057
## 82 sbiso2w1 ~1 1.983 0.040 50.012 0.000 1.905 2.061
## 83 sbps1w2 ~1 3.261 0.059 55.595 0.000 3.146 3.376
## 84 sbps2w2 ~1 2.700 0.050 53.751 0.000 2.601 2.798
## 85 sbps3w2 ~1 2.720 0.050 53.865 0.000 2.621 2.818
## 86 sbiso1w2 ~1 1.665 0.036 46.215 0.000 1.595 1.736
## 87 sbiso2w2 ~1 1.763 0.037 47.221 0.000 1.690 1.836
## 88 sbps1w3 ~1 3.087 0.061 50.308 0.000 2.967 3.208
## 89 sbps2w3 ~1 2.612 0.054 48.689 0.000 2.507 2.717
## 90 sbps3w3 ~1 2.788 0.056 49.509 0.000 2.678 2.899
## 91 sbiso1w3 ~1 1.741 0.040 43.812 0.000 1.663 1.819
## 92 sbiso2w3 ~1 1.966 0.043 45.716 0.000 1.881 2.050
## 93 int_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 94 int_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 95 int_3 ~1 0.000 0.000 NA NA 0.000 0.000
## 96 sb_ps_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 97 sb_ps_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 98 sb_ps_3 ~1 0.000 0.000 NA NA 0.000 0.000## Warning in lav_data_full(data = data, group = group, cluster = cluster, : lavaan WARNING: some cases are empty and will be ignored:
## 320 617 968 1056## lavaan 0.6-6 ended normally after 82 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 74
##
## Used Total
## Number of observations 1956 1960
## Number of missing patterns 58
##
## Model Test User Model:
##
## Test statistic 1456.320
## Degrees of freedom 178
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 18625.267
## Degrees of freedom 210
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.931
## Tucker-Lewis Index (TLI) 0.918
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -56349.281
## Loglikelihood unrestricted model (H1) -55621.120
##
## Akaike (AIC) 112846.561
## Bayesian (BIC) 113259.382
## Sample-size adjusted Bayesian (BIC) 113024.281
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.061
## 90 Percent confidence interval - lower 0.058
## 90 Percent confidence interval - upper 0.063
## P-value RMSEA <= 0.05 0.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.047
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## int_1 =~
## int5w1 1.000 0.915 0.844
## int6w1 0.894 0.027 33.127 0.000 0.818 0.739
## int7w1 0.867 0.026 33.459 0.000 0.793 0.756
## int_2 =~
## int5w2 1.000 1.037 0.858
## int6w2 0.956 0.025 38.257 0.000 0.991 0.779
## int7w2 0.892 0.023 38.828 0.000 0.925 0.794
## int_3 =~
## int5w3 1.000 1.111 0.881
## int6w3 0.948 0.027 34.478 0.000 1.053 0.784
## int7w3 0.851 0.025 34.240 0.000 0.946 0.789
## sb_fs_1 =~
## sbfs1w1 1.000 1.352 0.863
## sbfs2w1 0.930 0.026 36.338 0.000 1.257 0.800
## sbfs3w1 0.717 0.030 23.646 0.000 0.969 0.551
## sbfu1w1 0.622 0.024 25.560 0.000 0.841 0.587
## sb_fs_2 =~
## sbfs1w2 1.000 1.399 0.847
## sbfs2w2 0.983 0.025 38.751 0.000 1.375 0.824
## sbfs3w2 0.732 0.029 24.825 0.000 1.024 0.569
## sbfu1w2 0.603 0.024 24.992 0.000 0.844 0.578
## sb_fs_3 =~
## sbfs1w3 1.000 1.469 0.892
## sbfs2w3 0.932 0.025 36.627 0.000 1.368 0.822
## sbfs3w3 0.758 0.030 25.287 0.000 1.113 0.606
## sbfu1w3 0.718 0.026 27.518 0.000 1.055 0.653
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## int_2 ~
## int_1 0.850 0.032 26.326 0.000 0.749 0.749
## sb_fs_1 -0.019 0.018 -1.038 0.299 -0.025 -0.025
## sb_fs_2 ~
## int_1 0.103 0.039 2.628 0.009 0.067 0.067
## sb_fs_1 0.653 0.029 22.421 0.000 0.631 0.631
## int_3 ~
## int_2 0.844 0.031 27.529 0.000 0.788 0.788
## sb_fs_2 0.058 0.019 3.131 0.002 0.074 0.074
## sb_fs_3 ~
## int_2 0.124 0.041 3.030 0.002 0.087 0.087
## sb_fs_2 0.666 0.031 21.350 0.000 0.635 0.635
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## int_1 ~~
## sb_fs_1 0.439 0.036 12.186 0.000 0.355 0.355
## .int_2 ~~
## .sb_fs_2 0.236 0.027 8.705 0.000 0.321 0.321
## .int_3 ~~
## .sb_fs_3 0.205 0.029 7.150 0.000 0.294 0.294
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .int5w1 5.801 0.025 233.896 0.000 5.801 5.352
## .int6w1 5.793 0.025 228.591 0.000 5.793 5.236
## .int7w1 5.132 0.024 213.581 0.000 5.132 4.892
## .int5w2 5.655 0.028 203.070 0.000 5.655 4.680
## .int6w2 5.690 0.029 193.535 0.000 5.690 4.472
## .int7w2 5.022 0.027 186.571 0.000 5.022 4.310
## .int5w3 5.498 0.031 180.113 0.000 5.498 4.357
## .int6w3 5.533 0.033 168.762 0.000 5.533 4.121
## .int7w3 4.821 0.029 164.769 0.000 4.821 4.023
## .sbfs1w1 4.788 0.036 133.241 0.000 4.788 3.057
## .sbfs2w1 4.980 0.036 137.997 0.000 4.980 3.169
## .sbfs3w1 3.217 0.040 79.465 0.000 3.217 1.828
## .sbfu1w1 5.338 0.033 161.907 0.000 5.338 3.729
## .sbfs1w2 4.475 0.038 117.032 0.000 4.475 2.709
## .sbfs2w2 4.844 0.039 125.348 0.000 4.844 2.902
## .sbfs3w2 3.105 0.042 74.092 0.000 3.105 1.727
## .sbfu1w2 5.184 0.034 152.285 0.000 5.184 3.547
## .sbfs1w3 4.275 0.041 105.120 0.000 4.275 2.595
## .sbfs2w3 4.619 0.041 111.917 0.000 4.619 2.775
## .sbfs3w3 3.077 0.046 66.647 0.000 3.077 1.675
## .sbfu1w3 4.650 0.041 114.682 0.000 4.650 2.875
## int_1 0.000 0.000 0.000
## .int_2 0.000 0.000 0.000
## .int_3 0.000 0.000 0.000
## sb_fs_1 0.000 0.000 0.000
## .sb_fs_2 0.000 0.000 0.000
## .sb_fs_3 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .int5w1 0.338 0.020 17.292 0.000 0.338 0.287
## .int6w1 0.556 0.023 24.234 0.000 0.556 0.454
## .int7w1 0.472 0.020 23.343 0.000 0.472 0.429
## .int5w2 0.384 0.020 19.040 0.000 0.384 0.263
## .int6w2 0.636 0.026 24.155 0.000 0.636 0.393
## .int7w2 0.502 0.021 23.360 0.000 0.502 0.370
## .int5w3 0.358 0.023 15.361 0.000 0.358 0.225
## .int6w3 0.693 0.031 22.164 0.000 0.693 0.385
## .int7w3 0.542 0.025 21.722 0.000 0.542 0.377
## .sbfs1w1 0.626 0.041 15.435 0.000 0.626 0.255
## .sbfs2w1 0.889 0.042 20.939 0.000 0.889 0.360
## .sbfs3w1 2.158 0.076 28.429 0.000 2.158 0.697
## .sbfu1w1 1.343 0.048 27.936 0.000 1.343 0.655
## .sbfs1w2 0.772 0.043 18.094 0.000 0.772 0.283
## .sbfs2w2 0.896 0.044 20.264 0.000 0.896 0.321
## .sbfs3w2 2.184 0.078 27.923 0.000 2.184 0.676
## .sbfu1w2 1.423 0.051 27.859 0.000 1.423 0.666
## .sbfs1w3 0.557 0.043 13.097 0.000 0.557 0.205
## .sbfs2w3 0.898 0.047 18.995 0.000 0.898 0.324
## .sbfs3w3 2.135 0.083 25.678 0.000 2.135 0.633
## .sbfu1w3 1.502 0.060 25.036 0.000 1.502 0.574
## int_1 0.837 0.040 20.885 0.000 1.000 1.000
## .int_2 0.485 0.029 16.716 0.000 0.451 0.451
## .int_3 0.409 0.029 14.205 0.000 0.331 0.331
## sb_fs_1 1.827 0.085 21.524 0.000 1.000 1.000
## .sb_fs_2 1.111 0.065 17.164 0.000 0.568 0.568
## .sb_fs_3 1.185 0.069 17.227 0.000 0.549 0.549## lhs op rhs est.std se z pvalue ci.lower ci.upper
## 1 int_1 =~ int5w1 0.844 0.010 80.404 0.000 0.824 0.865
## 2 int_1 =~ int6w1 0.739 0.013 56.650 0.000 0.713 0.765
## 3 int_1 =~ int7w1 0.756 0.013 59.742 0.000 0.731 0.781
## 4 int_2 =~ int5w2 0.858 0.009 98.091 0.000 0.841 0.876
## 5 int_2 =~ int6w2 0.779 0.011 70.227 0.000 0.757 0.801
## 6 int_2 =~ int7w2 0.794 0.011 74.307 0.000 0.773 0.815
## 7 int_3 =~ int5w3 0.881 0.009 96.802 0.000 0.863 0.898
## 8 int_3 =~ int6w3 0.784 0.012 64.744 0.000 0.761 0.808
## 9 int_3 =~ int7w3 0.789 0.012 65.380 0.000 0.765 0.813
## 10 sb_fs_1 =~ sbfs1w1 0.863 0.010 84.979 0.000 0.843 0.883
## 11 sb_fs_1 =~ sbfs2w1 0.800 0.011 70.070 0.000 0.778 0.822
## 12 sb_fs_1 =~ sbfs3w1 0.551 0.018 30.434 0.000 0.515 0.586
## 13 sb_fs_1 =~ sbfu1w1 0.587 0.017 34.156 0.000 0.553 0.621
## 14 sb_fs_2 =~ sbfs1w2 0.847 0.010 85.478 0.000 0.827 0.866
## 15 sb_fs_2 =~ sbfs2w2 0.824 0.010 79.551 0.000 0.803 0.844
## 16 sb_fs_2 =~ sbfs3w2 0.569 0.018 32.170 0.000 0.535 0.604
## 17 sb_fs_2 =~ sbfu1w2 0.578 0.017 33.026 0.000 0.543 0.612
## 18 sb_fs_3 =~ sbfs1w3 0.892 0.009 95.336 0.000 0.873 0.910
## 19 sb_fs_3 =~ sbfs2w3 0.822 0.011 73.199 0.000 0.800 0.844
## 20 sb_fs_3 =~ sbfs3w3 0.606 0.018 33.680 0.000 0.571 0.641
## 21 sb_fs_3 =~ sbfu1w3 0.653 0.017 39.468 0.000 0.620 0.685
## 22 int_2 ~ int_1 0.749 0.018 41.455 0.000 0.714 0.785
## 23 int_2 ~ sb_fs_1 -0.025 0.024 -1.038 0.299 -0.071 0.022
## 24 sb_fs_2 ~ int_1 0.067 0.026 2.637 0.008 0.017 0.117
## 25 sb_fs_2 ~ sb_fs_1 0.631 0.021 29.710 0.000 0.589 0.672
## 26 int_3 ~ int_2 0.788 0.017 46.028 0.000 0.754 0.822
## 27 int_3 ~ sb_fs_2 0.074 0.023 3.135 0.002 0.028 0.120
## 28 sb_fs_3 ~ int_2 0.087 0.029 3.049 0.002 0.031 0.143
## 29 sb_fs_3 ~ sb_fs_2 0.635 0.022 28.211 0.000 0.591 0.679
## 30 int_1 ~~ sb_fs_1 0.355 0.025 14.441 0.000 0.307 0.404
## 31 int_2 ~~ sb_fs_2 0.321 0.034 9.562 0.000 0.255 0.387
## 32 int_3 ~~ sb_fs_3 0.294 0.038 7.773 0.000 0.220 0.369
## 33 int5w1 ~~ int5w1 0.287 0.018 16.218 0.000 0.253 0.322
## 34 int6w1 ~~ int6w1 0.454 0.019 23.548 0.000 0.416 0.492
## 35 int7w1 ~~ int7w1 0.429 0.019 22.423 0.000 0.391 0.466
## 36 int5w2 ~~ int5w2 0.263 0.015 17.513 0.000 0.234 0.293
## 37 int6w2 ~~ int6w2 0.393 0.017 22.734 0.000 0.359 0.427
## 38 int7w2 ~~ int7w2 0.370 0.017 21.784 0.000 0.336 0.403
## 39 int5w3 ~~ int5w3 0.225 0.016 14.025 0.000 0.193 0.256
## 40 int6w3 ~~ int6w3 0.385 0.019 20.228 0.000 0.347 0.422
## 41 int7w3 ~~ int7w3 0.377 0.019 19.813 0.000 0.340 0.415
## 42 sbfs1w1 ~~ sbfs1w1 0.255 0.018 14.560 0.000 0.221 0.290
## 43 sbfs2w1 ~~ sbfs2w1 0.360 0.018 19.714 0.000 0.324 0.396
## 44 sbfs3w1 ~~ sbfs3w1 0.697 0.020 34.986 0.000 0.658 0.736
## 45 sbfu1w1 ~~ sbfu1w1 0.655 0.020 32.462 0.000 0.616 0.695
## 46 sbfs1w2 ~~ sbfs1w2 0.283 0.017 16.853 0.000 0.250 0.316
## 47 sbfs2w2 ~~ sbfs2w2 0.321 0.017 18.841 0.000 0.288 0.355
## 48 sbfs3w2 ~~ sbfs3w2 0.676 0.020 33.521 0.000 0.636 0.715
## 49 sbfu1w2 ~~ sbfu1w2 0.666 0.020 32.990 0.000 0.627 0.706
## 50 sbfs1w3 ~~ sbfs1w3 0.205 0.017 12.301 0.000 0.172 0.238
## 51 sbfs2w3 ~~ sbfs2w3 0.324 0.018 17.561 0.000 0.288 0.360
## 52 sbfs3w3 ~~ sbfs3w3 0.633 0.022 29.037 0.000 0.590 0.676
## 53 sbfu1w3 ~~ sbfu1w3 0.574 0.022 26.607 0.000 0.532 0.616
## 54 int_1 ~~ int_1 1.000 0.000 NA NA 1.000 1.000
## 55 int_2 ~~ int_2 0.451 0.023 19.823 0.000 0.406 0.496
## 56 int_3 ~~ int_3 0.331 0.022 15.399 0.000 0.289 0.374
## 57 sb_fs_1 ~~ sb_fs_1 1.000 0.000 NA NA 1.000 1.000
## 58 sb_fs_2 ~~ sb_fs_2 0.568 0.024 24.018 0.000 0.521 0.614
## 59 sb_fs_3 ~~ sb_fs_3 0.549 0.025 22.210 0.000 0.501 0.598
## 60 int5w1 ~1 5.352 0.090 59.347 0.000 5.176 5.529
## 61 int6w1 ~1 5.236 0.088 59.313 0.000 5.063 5.409
## 62 int7w1 ~1 4.892 0.083 59.012 0.000 4.730 5.055
## 63 int5w2 ~1 4.680 0.080 58.365 0.000 4.523 4.837
## 64 int6w2 ~1 4.472 0.077 58.038 0.000 4.321 4.623
## 65 int7w2 ~1 4.310 0.075 57.788 0.000 4.164 4.456
## 66 int5w3 ~1 4.357 0.084 51.815 0.000 4.193 4.522
## 67 int6w3 ~1 4.121 0.080 51.319 0.000 3.964 4.279
## 68 int7w3 ~1 4.023 0.079 51.192 0.000 3.869 4.177
## 69 sbfs1w1 ~1 3.057 0.055 55.650 0.000 2.950 3.165
## 70 sbfs2w1 ~1 3.169 0.057 56.028 0.000 3.058 3.280
## 71 sbfs3w1 ~1 1.828 0.038 48.506 0.000 1.754 1.902
## 72 sbfu1w1 ~1 3.729 0.065 57.207 0.000 3.601 3.857
## 73 sbfs1w2 ~1 2.709 0.050 53.949 0.000 2.610 2.807
## 74 sbfs2w2 ~1 2.902 0.053 54.705 0.000 2.798 3.005
## 75 sbfs3w2 ~1 1.727 0.037 46.929 0.000 1.655 1.799
## 76 sbfu1w2 ~1 3.547 0.063 56.250 0.000 3.424 3.671
## 77 sbfs1w3 ~1 2.595 0.053 48.559 0.000 2.490 2.700
## 78 sbfs2w3 ~1 2.775 0.056 49.187 0.000 2.665 2.886
## 79 sbfs3w3 ~1 1.675 0.040 41.985 0.000 1.597 1.753
## 80 sbfu1w3 ~1 2.875 0.058 49.368 0.000 2.761 2.989
## 81 int_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 82 int_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 83 int_3 ~1 0.000 0.000 NA NA 0.000 0.000
## 84 sb_fs_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 85 sb_fs_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 86 sb_fs_3 ~1 0.000 0.000 NA NA 0.000 0.000## Warning in lav_data_full(data = data, group = group, cluster = cluster, : lavaan WARNING: some cases are empty and will be ignored:
## 320 617 968 1056## lavaan 0.6-6 ended normally after 67 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 56
##
## Used Total
## Number of observations 1956 1960
## Number of clusters [id] 1960
## Number of missing patterns 44
##
## Model Test User Model:
## Standard Robust
## Test Statistic 504.623 432.295
## Degrees of freedom 79 79
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.167
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 14837.162 11221.701
## Degrees of freedom 105 105
## P-value 0.000 0.000
## Scaling correction factor 1.322
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.971 0.968
## Tucker-Lewis Index (TLI) 0.962 0.958
##
## Robust Comparative Fit Index (CFI) 0.972
## Robust Tucker-Lewis Index (TLI) 0.963
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -40432.040 -40432.040
## Scaling correction factor 1.338
## for the MLR correction
## Loglikelihood unrestricted model (H1) -40179.729 -40179.729
## Scaling correction factor 1.238
## for the MLR correction
##
## Akaike (AIC) 80976.081 80976.081
## Bayesian (BIC) 81288.486 81288.486
## Sample-size adjusted Bayesian (BIC) 81110.572 81110.572
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.052 0.048
## 90 Percent confidence interval - lower 0.048 0.044
## 90 Percent confidence interval - upper 0.057 0.052
## P-value RMSEA <= 0.05 0.170 0.805
##
## Robust RMSEA 0.052
## 90 Percent confidence interval - lower 0.047
## 90 Percent confidence interval - upper 0.056
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.031 0.031
##
## Parameter Estimates:
##
## Standard errors Robust.cluster
## Information Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## att_1 =~
## att4w1 1.000 1.153 0.836
## att5w1 0.847 0.024 36.014 0.000 0.976 0.812
## att6w1 0.843 0.023 36.342 0.000 0.972 0.784
## att_2 =~
## att4w2 1.000 1.240 0.868
## att5w2 0.866 0.023 38.291 0.000 1.074 0.811
## att6w2 0.834 0.023 35.563 0.000 1.035 0.784
## att_3 =~
## att4w3 1.000 1.344 0.898
## att5w3 0.869 0.024 36.442 0.000 1.168 0.826
## att6w3 0.777 0.027 29.247 0.000 1.044 0.774
## sb_cc_1 =~
## sbcc1w1 1.000 1.477 0.880
## sbcc2w1 0.941 0.030 31.285 0.000 1.390 0.833
## sb_cc_2 =~
## sbcc1w2 1.000 1.478 0.851
## sbcc2w2 0.997 0.028 35.302 0.000 1.474 0.838
## sb_cc_3 =~
## sbcc1w3 1.000 1.480 0.851
## sbcc2w3 1.009 0.033 30.858 0.000 1.494 0.866
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## att_2 ~
## att_1 0.742 0.030 24.839 0.000 0.690 0.690
## sb_cc_1 0.011 0.021 0.527 0.598 0.013 0.013
## sb_cc_2 ~
## att_1 0.020 0.032 0.609 0.543 0.015 0.015
## sb_cc_1 0.690 0.029 23.575 0.000 0.689 0.689
## att_3 ~
## att_2 0.718 0.032 22.130 0.000 0.662 0.662
## sb_cc_2 0.074 0.024 3.040 0.002 0.081 0.081
## sb_cc_3 ~
## att_2 0.043 0.034 1.278 0.201 0.036 0.036
## sb_cc_2 0.706 0.033 21.711 0.000 0.705 0.705
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## att_1 ~~
## sb_cc_1 0.394 0.051 7.760 0.000 0.231 0.231
## .att_2 ~~
## .sb_cc_2 0.214 0.039 5.484 0.000 0.225 0.225
## .att_3 ~~
## .sb_cc_3 0.256 0.047 5.456 0.000 0.253 0.253
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .att4w1 4.780 0.032 151.165 0.000 4.780 3.465
## .att5w1 5.241 0.028 190.294 0.000 5.241 4.358
## .att6w1 4.655 0.028 163.726 0.000 4.655 3.754
## .att4w2 4.780 0.033 144.900 0.000 4.780 3.346
## .att5w2 5.252 0.031 171.582 0.000 5.252 3.967
## .att6w2 4.681 0.031 153.076 0.000 4.681 3.548
## .att4w3 4.609 0.037 125.943 0.000 4.609 3.081
## .att5w3 5.035 0.035 143.890 0.000 5.035 3.561
## .att6w3 4.539 0.033 136.333 0.000 4.539 3.366
## .sbcc1w1 3.716 0.038 96.551 0.000 3.716 2.212
## .sbcc2w1 4.092 0.038 106.878 0.000 4.092 2.453
## .sbcc1w2 3.811 0.040 94.766 0.000 3.811 2.193
## .sbcc2w2 4.102 0.041 100.633 0.000 4.102 2.332
## .sbcc1w3 3.911 0.043 91.528 0.000 3.911 2.250
## .sbcc2w3 4.012 0.042 94.682 0.000 4.012 2.326
## att_1 0.000 0.000 0.000
## .att_2 0.000 0.000 0.000
## .att_3 0.000 0.000 0.000
## sb_cc_1 0.000 0.000 0.000
## .sb_cc_2 0.000 0.000 0.000
## .sb_cc_3 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .att4w1 0.574 0.035 16.222 0.000 0.574 0.301
## .att5w1 0.493 0.029 17.063 0.000 0.493 0.341
## .att6w1 0.594 0.048 12.279 0.000 0.594 0.386
## .att4w2 0.503 0.035 14.315 0.000 0.503 0.246
## .att5w2 0.600 0.031 19.104 0.000 0.600 0.342
## .att6w2 0.670 0.055 12.229 0.000 0.670 0.385
## .att4w3 0.432 0.034 12.647 0.000 0.432 0.193
## .att5w3 0.633 0.038 16.619 0.000 0.633 0.317
## .att6w3 0.728 0.066 10.997 0.000 0.728 0.400
## .sbcc1w1 0.639 0.075 8.533 0.000 0.639 0.226
## .sbcc2w1 0.852 0.067 12.778 0.000 0.852 0.306
## .sbcc1w2 0.834 0.072 11.532 0.000 0.834 0.276
## .sbcc2w2 0.923 0.074 12.403 0.000 0.923 0.298
## .sbcc1w3 0.832 0.087 9.577 0.000 0.832 0.275
## .sbcc2w3 0.744 0.083 8.985 0.000 0.744 0.250
## att_1 1.329 0.063 21.251 0.000 1.000 1.000
## .att_2 0.800 0.055 14.608 0.000 0.520 0.520
## .att_3 0.954 0.061 15.590 0.000 0.528 0.528
## sb_cc_1 2.182 0.101 21.649 0.000 1.000 1.000
## .sb_cc_2 1.135 0.081 14.039 0.000 0.520 0.520
## .sb_cc_3 1.070 0.083 12.932 0.000 0.489 0.489## lhs op rhs est.std se z pvalue ci.lower ci.upper
## 1 att_1 =~ att4w1 0.836 0.011 73.527 0.000 0.814 0.858
## 2 att_1 =~ att5w1 0.812 0.013 64.003 0.000 0.787 0.837
## 3 att_1 =~ att6w1 0.784 0.018 43.836 0.000 0.749 0.819
## 4 att_2 =~ att4w2 0.868 0.010 83.990 0.000 0.848 0.888
## 5 att_2 =~ att5w2 0.811 0.012 67.036 0.000 0.787 0.835
## 6 att_2 =~ att6w2 0.784 0.018 42.619 0.000 0.748 0.820
## 7 att_3 =~ att4w3 0.898 0.009 98.570 0.000 0.880 0.916
## 8 att_3 =~ att5w3 0.826 0.013 64.416 0.000 0.801 0.852
## 9 att_3 =~ att6w3 0.774 0.022 35.107 0.000 0.731 0.818
## 10 sb_cc_1 =~ sbcc1w1 0.880 0.015 57.882 0.000 0.850 0.909
## 11 sb_cc_1 =~ sbcc2w1 0.833 0.015 57.185 0.000 0.805 0.862
## 12 sb_cc_2 =~ sbcc1w2 0.851 0.014 59.096 0.000 0.823 0.879
## 13 sb_cc_2 =~ sbcc2w2 0.838 0.015 57.445 0.000 0.809 0.866
## 14 sb_cc_3 =~ sbcc1w3 0.851 0.017 50.350 0.000 0.818 0.884
## 15 sb_cc_3 =~ sbcc2w3 0.866 0.016 53.544 0.000 0.834 0.898
## 16 att_2 ~ att_1 0.690 0.022 30.972 0.000 0.646 0.733
## 17 att_2 ~ sb_cc_1 0.013 0.025 0.527 0.598 -0.036 0.062
## 18 sb_cc_2 ~ att_1 0.015 0.025 0.609 0.542 -0.034 0.065
## 19 sb_cc_2 ~ sb_cc_1 0.689 0.022 31.546 0.000 0.647 0.732
## 20 att_3 ~ att_2 0.662 0.024 27.709 0.000 0.615 0.709
## 21 att_3 ~ sb_cc_2 0.081 0.027 3.039 0.002 0.029 0.134
## 22 sb_cc_3 ~ att_2 0.036 0.028 1.281 0.200 -0.019 0.091
## 23 sb_cc_3 ~ sb_cc_2 0.705 0.022 31.523 0.000 0.662 0.749
## 24 att_1 ~~ sb_cc_1 0.231 0.028 8.182 0.000 0.176 0.287
## 25 att_2 ~~ sb_cc_2 0.225 0.039 5.731 0.000 0.148 0.302
## 26 att_3 ~~ sb_cc_3 0.253 0.042 6.061 0.000 0.171 0.335
## 27 att4w1 ~~ att4w1 0.301 0.019 15.862 0.000 0.264 0.339
## 28 att5w1 ~~ att5w1 0.341 0.021 16.558 0.000 0.301 0.381
## 29 att6w1 ~~ att6w1 0.386 0.028 13.776 0.000 0.331 0.441
## 30 att4w2 ~~ att4w2 0.246 0.018 13.737 0.000 0.211 0.282
## 31 att5w2 ~~ att5w2 0.342 0.020 17.454 0.000 0.304 0.381
## 32 att6w2 ~~ att6w2 0.385 0.029 13.332 0.000 0.328 0.441
## 33 att4w3 ~~ att4w3 0.193 0.016 11.787 0.000 0.161 0.225
## 34 att5w3 ~~ att5w3 0.317 0.021 14.943 0.000 0.275 0.358
## 35 att6w3 ~~ att6w3 0.400 0.034 11.716 0.000 0.333 0.467
## 36 sbcc1w1 ~~ sbcc1w1 0.226 0.027 8.472 0.000 0.174 0.279
## 37 sbcc2w1 ~~ sbcc2w1 0.306 0.024 12.598 0.000 0.258 0.353
## 38 sbcc1w2 ~~ sbcc1w2 0.276 0.024 11.280 0.000 0.228 0.324
## 39 sbcc2w2 ~~ sbcc2w2 0.298 0.024 12.202 0.000 0.250 0.346
## 40 sbcc1w3 ~~ sbcc1w3 0.275 0.029 9.563 0.000 0.219 0.332
## 41 sbcc2w3 ~~ sbcc2w3 0.250 0.028 8.930 0.000 0.195 0.305
## 42 att_1 ~~ att_1 1.000 0.000 NA NA 1.000 1.000
## 43 att_2 ~~ att_2 0.520 0.028 18.525 0.000 0.465 0.575
## 44 att_3 ~~ att_3 0.528 0.030 17.847 0.000 0.470 0.586
## 45 sb_cc_1 ~~ sb_cc_1 1.000 0.000 NA NA 1.000 1.000
## 46 sb_cc_2 ~~ sb_cc_2 0.520 0.028 18.327 0.000 0.464 0.575
## 47 sb_cc_3 ~~ sb_cc_3 0.489 0.030 16.331 0.000 0.430 0.547
## 48 att4w1 ~1 3.465 0.064 54.431 0.000 3.340 3.590
## 49 att5w1 ~1 4.358 0.086 50.725 0.000 4.189 4.526
## 50 att6w1 ~1 3.754 0.070 53.867 0.000 3.618 3.891
## 51 att4w2 ~1 3.346 0.063 53.194 0.000 3.222 3.469
## 52 att5w2 ~1 3.967 0.087 45.351 0.000 3.795 4.138
## 53 att6w2 ~1 3.548 0.069 51.343 0.000 3.413 3.683
## 54 att4w3 ~1 3.081 0.064 48.081 0.000 2.955 3.206
## 55 att5w3 ~1 3.561 0.081 44.210 0.000 3.404 3.719
## 56 att6w3 ~1 3.366 0.072 46.510 0.000 3.224 3.508
## 57 sbcc1w1 ~1 2.212 0.033 66.076 0.000 2.147 2.278
## 58 sbcc2w1 ~1 2.453 0.038 64.824 0.000 2.378 2.527
## 59 sbcc1w2 ~1 2.193 0.035 63.373 0.000 2.126 2.261
## 60 sbcc2w2 ~1 2.332 0.038 61.486 0.000 2.257 2.406
## 61 sbcc1w3 ~1 2.250 0.039 57.299 0.000 2.173 2.327
## 62 sbcc2w3 ~1 2.326 0.042 55.971 0.000 2.244 2.407
## 63 att_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 64 att_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 65 att_3 ~1 0.000 0.000 NA NA 0.000 0.000
## 66 sb_cc_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 67 sb_cc_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 68 sb_cc_3 ~1 0.000 0.000 NA NA 0.000 0.000## Warning in lav_data_full(data = data, group = group, cluster = cluster, : lavaan WARNING: some cases are empty and will be ignored:
## 320 617 968 1056## lavaan 0.6-6 ended normally after 81 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 86
##
## Used Total
## Number of observations 1956 1960
## Number of missing patterns 60
##
## Model Test User Model:
##
## Test statistic 1514.297
## Degrees of freedom 238
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 21085.765
## Degrees of freedom 276
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.939
## Tucker-Lewis Index (TLI) 0.929
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -70850.453
## Loglikelihood unrestricted model (H1) -70093.305
##
## Akaike (AIC) 141872.907
## Bayesian (BIC) 142352.671
## Sample-size adjusted Bayesian (BIC) 142079.446
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.052
## 90 Percent confidence interval - lower 0.050
## 90 Percent confidence interval - upper 0.055
## P-value RMSEA <= 0.05 0.060
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.046
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## att_1 =~
## att4w1 1.000 1.152 0.836
## att5w1 0.848 0.023 37.072 0.000 0.978 0.813
## att6w1 0.842 0.023 36.137 0.000 0.971 0.783
## att_2 =~
## att4w2 1.000 1.240 0.868
## att5w2 0.868 0.022 39.911 0.000 1.076 0.813
## att6w2 0.832 0.022 38.307 0.000 1.032 0.782
## att_3 =~
## att4w3 1.000 1.336 0.893
## att5w3 0.881 0.023 38.347 0.000 1.177 0.833
## att6w3 0.781 0.022 35.104 0.000 1.043 0.774
## sb_ps_1 =~
## sbps1w1 1.000 1.263 0.637
## sbps2w1 1.066 0.042 25.340 0.000 1.347 0.729
## sbps3w1 1.280 0.047 27.286 0.000 1.617 0.840
## sbiso1w1 -0.991 0.045 -21.844 0.000 -1.252 -0.607
## sbiso2w1 -0.821 0.039 -21.081 0.000 -1.037 -0.586
## sb_ps_2 =~
## sbps1w2 1.000 1.102 0.650
## sbps2w2 1.253 0.047 26.850 0.000 1.381 0.774
## sbps3w2 1.349 0.048 27.993 0.000 1.487 0.825
## sbiso1w2 -1.130 0.051 -21.959 0.000 -1.246 -0.608
## sbiso2w2 -1.051 0.049 -21.557 0.000 -1.159 -0.599
## sb_ps_3 =~
## sbps1w3 1.000 1.266 0.740
## sbps2w3 1.126 0.037 30.179 0.000 1.426 0.803
## sbps3w3 1.220 0.037 32.592 0.000 1.544 0.879
## sbiso1w3 -0.764 0.042 -18.108 0.000 -0.966 -0.487
## sbiso2w3 -0.660 0.040 -16.692 0.000 -0.836 -0.450
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## att_2 ~
## att_1 0.748 0.028 26.393 0.000 0.695 0.695
## sb_ps_1 -0.014 0.022 -0.610 0.542 -0.014 -0.014
## sb_ps_2 ~
## att_1 0.018 0.023 0.767 0.443 0.019 0.019
## sb_ps_1 0.544 0.031 17.681 0.000 0.623 0.623
## att_3 ~
## att_2 0.721 0.029 24.489 0.000 0.669 0.669
## sb_ps_2 0.095 0.029 3.257 0.001 0.078 0.078
## sb_ps_3 ~
## att_2 0.112 0.026 4.353 0.000 0.110 0.110
## sb_ps_2 0.760 0.040 19.092 0.000 0.662 0.662
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## att_1 ~~
## sb_ps_1 0.246 0.041 6.063 0.000 0.169 0.169
## .att_2 ~~
## .sb_ps_2 0.125 0.027 4.708 0.000 0.163 0.163
## .att_3 ~~
## .sb_ps_3 0.227 0.033 6.809 0.000 0.254 0.254
## .sbiso1w1 ~~
## .sbiso2w1 0.347 0.063 5.520 0.000 0.347 0.148
## .sbiso1w2 ~~
## .sbiso2w2 0.901 0.072 12.587 0.000 0.901 0.357
## .sbiso1w3 ~~
## .sbiso2w3 1.371 0.085 16.110 0.000 1.371 0.477
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .att4w1 4.780 0.032 151.260 0.000 4.780 3.465
## .att5w1 5.241 0.028 190.247 0.000 5.241 4.358
## .att6w1 4.655 0.028 163.795 0.000 4.655 3.754
## .att4w2 4.780 0.033 144.854 0.000 4.780 3.345
## .att5w2 5.252 0.031 171.531 0.000 5.252 3.967
## .att6w2 4.681 0.031 153.252 0.000 4.681 3.548
## .att4w3 4.607 0.037 125.679 0.000 4.607 3.080
## .att5w3 5.032 0.035 144.595 0.000 5.032 3.560
## .att6w3 4.537 0.033 136.147 0.000 4.537 3.365
## .sbps1w1 4.878 0.046 107.105 0.000 4.878 2.461
## .sbps2w1 4.208 0.042 99.110 0.000 4.208 2.278
## .sbps3w1 4.192 0.044 94.942 0.000 4.192 2.179
## .sbiso1w1 4.084 0.047 86.131 0.000 4.084 1.979
## .sbiso2w1 3.512 0.041 86.240 0.000 3.512 1.983
## .sbps1w2 5.526 0.039 140.201 0.000 5.526 3.260
## .sbps2w2 4.814 0.041 116.377 0.000 4.814 2.699
## .sbps3w2 4.902 0.042 117.331 0.000 4.902 2.719
## .sbiso1w2 3.414 0.048 71.556 0.000 3.414 1.665
## .sbiso2w2 3.411 0.045 75.650 0.000 3.411 1.763
## .sbps1w3 5.292 0.043 124.409 0.000 5.292 3.095
## .sbps2w3 4.653 0.044 105.651 0.000 4.653 2.620
## .sbps3w3 4.912 0.043 113.364 0.000 4.912 2.797
## .sbiso1w3 3.450 0.050 68.979 0.000 3.450 1.739
## .sbiso2w3 3.650 0.047 77.746 0.000 3.650 1.964
## att_1 0.000 0.000 0.000
## .att_2 0.000 0.000 0.000
## .att_3 0.000 0.000 0.000
## sb_ps_1 0.000 0.000 0.000
## .sb_ps_2 0.000 0.000 0.000
## .sb_ps_3 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .att4w1 0.574 0.030 19.030 0.000 0.574 0.302
## .att5w1 0.491 0.024 20.743 0.000 0.491 0.339
## .att6w1 0.596 0.026 22.830 0.000 0.596 0.387
## .att4w2 0.504 0.028 17.705 0.000 0.504 0.247
## .att5w2 0.595 0.027 22.026 0.000 0.595 0.339
## .att6w2 0.676 0.028 23.825 0.000 0.676 0.388
## .att4w3 0.452 0.033 13.578 0.000 0.452 0.202
## .att5w3 0.612 0.032 19.055 0.000 0.612 0.306
## .att6w3 0.729 0.032 22.529 0.000 0.729 0.401
## .sbps1w1 2.333 0.087 26.809 0.000 2.333 0.594
## .sbps2w1 1.597 0.066 24.163 0.000 1.597 0.468
## .sbps3w1 1.087 0.064 17.048 0.000 1.087 0.294
## .sbiso1w1 2.691 0.099 27.218 0.000 2.691 0.632
## .sbiso2w1 2.060 0.075 27.404 0.000 2.060 0.657
## .sbps1w2 1.658 0.063 26.487 0.000 1.658 0.577
## .sbps2w2 1.273 0.056 22.659 0.000 1.273 0.400
## .sbps3w2 1.038 0.053 19.443 0.000 1.038 0.319
## .sbiso1w2 2.652 0.098 27.106 0.000 2.652 0.631
## .sbiso2w2 2.402 0.088 27.195 0.000 2.402 0.641
## .sbps1w3 1.322 0.057 23.050 0.000 1.322 0.452
## .sbps2w3 1.122 0.054 20.632 0.000 1.122 0.356
## .sbps3w3 0.701 0.048 14.646 0.000 0.701 0.227
## .sbiso1w3 3.001 0.113 26.584 0.000 3.001 0.763
## .sbiso2w3 2.755 0.103 26.794 0.000 2.755 0.798
## att_1 1.328 0.063 20.934 0.000 1.000 1.000
## .att_2 0.799 0.043 18.416 0.000 0.520 0.520
## .att_3 0.943 0.052 18.193 0.000 0.528 0.528
## sb_ps_1 1.596 0.111 14.337 0.000 1.000 1.000
## .sb_ps_2 0.738 0.054 13.656 0.000 0.607 0.607
## .sb_ps_3 0.842 0.058 14.416 0.000 0.526 0.526## lhs op rhs est.std se z pvalue ci.lower ci.upper
## 1 att_1 =~ att4w1 0.836 0.010 82.092 0.000 0.816 0.855
## 2 att_1 =~ att5w1 0.813 0.011 75.598 0.000 0.792 0.834
## 3 att_1 =~ att6w1 0.783 0.011 68.220 0.000 0.760 0.805
## 4 att_2 =~ att4w2 0.868 0.009 99.729 0.000 0.851 0.885
## 5 att_2 =~ att5w2 0.813 0.010 79.351 0.000 0.793 0.833
## 6 att_2 =~ att6w2 0.782 0.011 70.507 0.000 0.761 0.804
## 7 att_3 =~ att4w3 0.893 0.009 100.156 0.000 0.876 0.911
## 8 att_3 =~ att5w3 0.833 0.011 79.072 0.000 0.812 0.853
## 9 att_3 =~ att6w3 0.774 0.012 62.994 0.000 0.750 0.798
## 10 sb_ps_1 =~ sbps1w1 0.637 0.016 39.638 0.000 0.606 0.669
## 11 sb_ps_1 =~ sbps2w1 0.729 0.014 53.914 0.000 0.703 0.756
## 12 sb_ps_1 =~ sbps3w1 0.840 0.011 77.222 0.000 0.819 0.862
## 13 sb_ps_1 =~ sbiso1w1 -0.607 0.017 -35.593 0.000 -0.640 -0.573
## 14 sb_ps_1 =~ sbiso2w1 -0.586 0.018 -33.091 0.000 -0.620 -0.551
## 15 sb_ps_2 =~ sbps1w2 0.650 0.016 41.440 0.000 0.620 0.681
## 16 sb_ps_2 =~ sbps2w2 0.774 0.012 64.475 0.000 0.751 0.798
## 17 sb_ps_2 =~ sbps3w2 0.825 0.011 77.391 0.000 0.804 0.846
## 18 sb_ps_2 =~ sbiso1w2 -0.608 0.017 -35.793 0.000 -0.641 -0.574
## 19 sb_ps_2 =~ sbiso2w2 -0.599 0.017 -34.766 0.000 -0.633 -0.565
## 20 sb_ps_3 =~ sbps1w3 0.740 0.014 54.323 0.000 0.713 0.767
## 21 sb_ps_3 =~ sbps2w3 0.803 0.012 69.686 0.000 0.780 0.825
## 22 sb_ps_3 =~ sbps3w3 0.879 0.009 93.002 0.000 0.860 0.897
## 23 sb_ps_3 =~ sbiso1w3 -0.487 0.021 -23.010 0.000 -0.529 -0.446
## 24 sb_ps_3 =~ sbiso2w3 -0.450 0.022 -20.394 0.000 -0.493 -0.406
## 25 att_2 ~ att_1 0.695 0.017 41.303 0.000 0.662 0.728
## 26 att_2 ~ sb_ps_1 -0.014 0.023 -0.610 0.542 -0.058 0.031
## 27 sb_ps_2 ~ att_1 0.019 0.024 0.767 0.443 -0.029 0.066
## 28 sb_ps_2 ~ sb_ps_1 0.623 0.020 31.234 0.000 0.584 0.662
## 29 att_3 ~ att_2 0.669 0.018 36.597 0.000 0.634 0.705
## 30 att_3 ~ sb_ps_2 0.078 0.024 3.277 0.001 0.032 0.125
## 31 sb_ps_3 ~ att_2 0.110 0.025 4.404 0.000 0.061 0.159
## 32 sb_ps_3 ~ sb_ps_2 0.662 0.019 34.162 0.000 0.624 0.699
## 33 att_1 ~~ sb_ps_1 0.169 0.027 6.365 0.000 0.117 0.221
## 34 att_2 ~~ sb_ps_2 0.163 0.034 4.852 0.000 0.097 0.228
## 35 att_3 ~~ sb_ps_3 0.254 0.034 7.421 0.000 0.187 0.322
## 36 sbiso1w1 ~~ sbiso2w1 0.148 0.025 5.862 0.000 0.098 0.197
## 37 sbiso1w2 ~~ sbiso2w2 0.357 0.022 16.027 0.000 0.313 0.401
## 38 sbiso1w3 ~~ sbiso2w3 0.477 0.020 23.562 0.000 0.437 0.516
## 39 att4w1 ~~ att4w1 0.302 0.017 17.754 0.000 0.269 0.335
## 40 att5w1 ~~ att5w1 0.339 0.017 19.401 0.000 0.305 0.373
## 41 att6w1 ~~ att6w1 0.387 0.018 21.574 0.000 0.352 0.423
## 42 att4w2 ~~ att4w2 0.247 0.015 16.360 0.000 0.217 0.277
## 43 att5w2 ~~ att5w2 0.339 0.017 20.384 0.000 0.307 0.372
## 44 att6w2 ~~ att6w2 0.388 0.017 22.355 0.000 0.354 0.422
## 45 att4w3 ~~ att4w3 0.202 0.016 12.671 0.000 0.171 0.233
## 46 att5w3 ~~ att5w3 0.306 0.018 17.463 0.000 0.272 0.341
## 47 att6w3 ~~ att6w3 0.401 0.019 21.104 0.000 0.364 0.438
## 48 sbps1w1 ~~ sbps1w1 0.594 0.020 28.963 0.000 0.554 0.634
## 49 sbps2w1 ~~ sbps2w1 0.468 0.020 23.735 0.000 0.430 0.507
## 50 sbps3w1 ~~ sbps3w1 0.294 0.018 16.058 0.000 0.258 0.330
## 51 sbiso1w1 ~~ sbiso1w1 0.632 0.021 30.572 0.000 0.592 0.673
## 52 sbiso2w1 ~~ sbiso2w1 0.657 0.021 31.678 0.000 0.616 0.698
## 53 sbps1w2 ~~ sbps1w2 0.577 0.020 28.275 0.000 0.537 0.617
## 54 sbps2w2 ~~ sbps2w2 0.400 0.019 21.516 0.000 0.364 0.437
## 55 sbps3w2 ~~ sbps3w2 0.319 0.018 18.155 0.000 0.285 0.354
## 56 sbiso1w2 ~~ sbiso1w2 0.631 0.021 30.584 0.000 0.590 0.671
## 57 sbiso2w2 ~~ sbiso2w2 0.641 0.021 31.104 0.000 0.601 0.682
## 58 sbps1w3 ~~ sbps1w3 0.452 0.020 22.412 0.000 0.413 0.492
## 59 sbps2w3 ~~ sbps2w3 0.356 0.018 19.241 0.000 0.320 0.392
## 60 sbps3w3 ~~ sbps3w3 0.227 0.017 13.688 0.000 0.195 0.260
## 61 sbiso1w3 ~~ sbiso1w3 0.763 0.021 36.969 0.000 0.722 0.803
## 62 sbiso2w3 ~~ sbiso2w3 0.798 0.020 40.235 0.000 0.759 0.837
## 63 att_1 ~~ att_1 1.000 0.000 NA NA 1.000 1.000
## 64 att_2 ~~ att_2 0.520 0.023 23.003 0.000 0.475 0.564
## 65 att_3 ~~ att_3 0.528 0.024 22.140 0.000 0.481 0.575
## 66 sb_ps_1 ~~ sb_ps_1 1.000 0.000 NA NA 1.000 1.000
## 67 sb_ps_2 ~~ sb_ps_2 0.607 0.024 25.178 0.000 0.560 0.655
## 68 sb_ps_3 ~~ sb_ps_3 0.526 0.025 21.052 0.000 0.477 0.575
## 69 att4w1 ~1 3.465 0.061 57.044 0.000 3.346 3.584
## 70 att5w1 ~1 4.358 0.074 58.620 0.000 4.212 4.504
## 71 att6w1 ~1 3.754 0.065 57.646 0.000 3.627 3.882
## 72 att4w2 ~1 3.345 0.060 56.060 0.000 3.228 3.462
## 73 att5w2 ~1 3.967 0.069 57.242 0.000 3.831 4.102
## 74 att6w2 ~1 3.548 0.063 56.431 0.000 3.424 3.671
## 75 att4w3 ~1 3.080 0.061 50.568 0.000 2.960 3.199
## 76 att5w3 ~1 3.560 0.069 51.585 0.000 3.424 3.695
## 77 att6w3 ~1 3.365 0.066 51.131 0.000 3.236 3.494
## 78 sbps1w1 ~1 2.461 0.046 53.263 0.000 2.370 2.551
## 79 sbps2w1 ~1 2.278 0.044 52.150 0.000 2.193 2.364
## 80 sbps3w1 ~1 2.179 0.042 51.556 0.000 2.096 2.262
## 81 sbiso1w1 ~1 1.979 0.040 50.012 0.000 1.902 2.057
## 82 sbiso2w1 ~1 1.983 0.040 50.015 0.000 1.906 2.061
## 83 sbps1w2 ~1 3.260 0.059 55.582 0.000 3.145 3.375
## 84 sbps2w2 ~1 2.699 0.050 53.735 0.000 2.601 2.798
## 85 sbps3w2 ~1 2.719 0.050 53.847 0.000 2.620 2.818
## 86 sbiso1w2 ~1 1.665 0.036 46.213 0.000 1.595 1.736
## 87 sbiso2w2 ~1 1.763 0.037 47.217 0.000 1.690 1.836
## 88 sbps1w3 ~1 3.095 0.061 50.502 0.000 2.975 3.215
## 89 sbps2w3 ~1 2.620 0.054 48.911 0.000 2.515 2.725
## 90 sbps3w3 ~1 2.797 0.056 49.761 0.000 2.687 2.907
## 91 sbiso1w3 ~1 1.739 0.040 43.746 0.000 1.661 1.817
## 92 sbiso2w3 ~1 1.964 0.043 45.659 0.000 1.880 2.048
## 93 att_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 94 att_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 95 att_3 ~1 0.000 0.000 NA NA 0.000 0.000
## 96 sb_ps_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 97 sb_ps_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 98 sb_ps_3 ~1 0.000 0.000 NA NA 0.000 0.000## Warning in lav_data_full(data = data, group = group, cluster = cluster, : lavaan WARNING: some cases are empty and will be ignored:
## 320 617 968 1056## lavaan 0.6-6 ended normally after 74 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 74
##
## Used Total
## Number of observations 1956 1960
## Number of missing patterns 57
##
## Model Test User Model:
##
## Test statistic 1360.761
## Degrees of freedom 178
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 18922.881
## Degrees of freedom 210
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.937
## Tucker-Lewis Index (TLI) 0.925
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -58285.000
## Loglikelihood unrestricted model (H1) -57604.619
##
## Akaike (AIC) 116718.000
## Bayesian (BIC) 117130.820
## Sample-size adjusted Bayesian (BIC) 116895.720
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.058
## 90 Percent confidence interval - lower 0.055
## 90 Percent confidence interval - upper 0.061
## P-value RMSEA <= 0.05 0.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.044
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## att_1 =~
## att4w1 1.000 1.155 0.837
## att5w1 0.846 0.023 37.153 0.000 0.977 0.813
## att6w1 0.839 0.023 36.170 0.000 0.969 0.781
## att_2 =~
## att4w2 1.000 1.240 0.868
## att5w2 0.868 0.022 40.012 0.000 1.076 0.812
## att6w2 0.833 0.022 38.385 0.000 1.033 0.783
## att_3 =~
## att4w3 1.000 1.342 0.897
## att5w3 0.870 0.023 38.572 0.000 1.168 0.827
## att6w3 0.779 0.022 35.208 0.000 1.046 0.775
## sb_fs_1 =~
## sbfs1w1 1.000 1.352 0.863
## sbfs2w1 0.929 0.026 36.211 0.000 1.256 0.799
## sbfs3w1 0.717 0.030 23.611 0.000 0.969 0.551
## sbfu1w1 0.624 0.024 25.551 0.000 0.843 0.589
## sb_fs_2 =~
## sbfs1w2 1.000 1.400 0.848
## sbfs2w2 0.979 0.025 38.661 0.000 1.370 0.821
## sbfs3w2 0.737 0.029 25.005 0.000 1.032 0.574
## sbfu1w2 0.602 0.024 24.960 0.000 0.843 0.577
## sb_fs_3 =~
## sbfs1w3 1.000 1.460 0.888
## sbfs2w3 0.935 0.025 36.773 0.000 1.366 0.822
## sbfs3w3 0.763 0.030 25.376 0.000 1.115 0.608
## sbfu1w3 0.724 0.026 27.609 0.000 1.058 0.655
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## att_2 ~
## att_1 0.743 0.029 25.909 0.000 0.692 0.692
## sb_fs_1 0.002 0.021 0.093 0.926 0.002 0.002
## sb_fs_2 ~
## att_1 0.015 0.029 0.503 0.615 0.012 0.012
## sb_fs_1 0.675 0.028 23.796 0.000 0.651 0.651
## att_3 ~
## att_2 0.707 0.030 23.609 0.000 0.653 0.653
## sb_fs_2 0.103 0.024 4.318 0.000 0.107 0.107
## sb_fs_3 ~
## att_2 0.065 0.031 2.111 0.035 0.055 0.055
## sb_fs_2 0.679 0.030 22.511 0.000 0.650 0.650
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## att_1 ~~
## sb_fs_1 0.397 0.044 9.085 0.000 0.254 0.254
## .att_2 ~~
## .sb_fs_2 0.257 0.033 7.776 0.000 0.271 0.271
## .att_3 ~~
## .sb_fs_3 0.330 0.039 8.537 0.000 0.313 0.313
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .att4w1 4.780 0.032 151.245 0.000 4.780 3.465
## .att5w1 5.241 0.028 190.225 0.000 5.241 4.358
## .att6w1 4.655 0.028 163.774 0.000 4.655 3.754
## .att4w2 4.781 0.033 144.871 0.000 4.781 3.346
## .att5w2 5.252 0.031 171.543 0.000 5.252 3.967
## .att6w2 4.681 0.031 153.267 0.000 4.681 3.548
## .att4w3 4.606 0.037 125.794 0.000 4.606 3.079
## .att5w3 5.032 0.035 144.641 0.000 5.032 3.560
## .att6w3 4.537 0.033 136.230 0.000 4.537 3.365
## .sbfs1w1 4.788 0.036 133.220 0.000 4.788 3.057
## .sbfs2w1 4.979 0.036 137.995 0.000 4.979 3.169
## .sbfs3w1 3.217 0.040 79.463 0.000 3.217 1.828
## .sbfu1w1 5.338 0.033 161.894 0.000 5.338 3.729
## .sbfs1w2 4.475 0.038 117.042 0.000 4.475 2.709
## .sbfs2w2 4.844 0.039 125.352 0.000 4.844 2.902
## .sbfs3w2 3.105 0.042 74.103 0.000 3.105 1.727
## .sbfu1w2 5.184 0.034 152.285 0.000 5.184 3.548
## .sbfs1w3 4.282 0.041 105.504 0.000 4.282 2.604
## .sbfs2w3 4.626 0.041 112.306 0.000 4.626 2.784
## .sbfs3w3 3.082 0.046 66.850 0.000 3.082 1.680
## .sbfu1w3 4.655 0.040 114.972 0.000 4.655 2.881
## att_1 0.000 0.000 0.000
## .att_2 0.000 0.000 0.000
## .att_3 0.000 0.000 0.000
## sb_fs_1 0.000 0.000 0.000
## .sb_fs_2 0.000 0.000 0.000
## .sb_fs_3 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .att4w1 0.569 0.030 18.949 0.000 0.569 0.299
## .att5w1 0.491 0.024 20.828 0.000 0.491 0.340
## .att6w1 0.599 0.026 22.981 0.000 0.599 0.390
## .att4w2 0.505 0.028 17.801 0.000 0.505 0.247
## .att5w2 0.596 0.027 22.127 0.000 0.596 0.340
## .att6w2 0.674 0.028 23.843 0.000 0.674 0.387
## .att4w3 0.436 0.033 13.347 0.000 0.436 0.195
## .att5w3 0.633 0.032 19.767 0.000 0.633 0.317
## .att6w3 0.725 0.032 22.380 0.000 0.725 0.399
## .sbfs1w1 0.627 0.041 15.342 0.000 0.627 0.256
## .sbfs2w1 0.892 0.043 20.929 0.000 0.892 0.361
## .sbfs3w1 2.157 0.076 28.406 0.000 2.157 0.697
## .sbfu1w1 1.339 0.048 27.872 0.000 1.339 0.653
## .sbfs1w2 0.768 0.043 17.987 0.000 0.768 0.282
## .sbfs2w2 0.909 0.045 20.412 0.000 0.909 0.326
## .sbfs3w2 2.166 0.078 27.850 0.000 2.166 0.670
## .sbfu1w2 1.424 0.051 27.851 0.000 1.424 0.667
## .sbfs1w3 0.572 0.042 13.511 0.000 0.572 0.212
## .sbfs2w3 0.896 0.047 19.094 0.000 0.896 0.324
## .sbfs3w3 2.125 0.083 25.633 0.000 2.125 0.631
## .sbfu1w3 1.492 0.060 24.959 0.000 1.492 0.571
## att_1 1.334 0.063 21.006 0.000 1.000 1.000
## .att_2 0.799 0.043 18.453 0.000 0.520 0.520
## .att_3 0.943 0.052 18.279 0.000 0.523 0.523
## sb_fs_1 1.827 0.085 21.479 0.000 1.000 1.000
## .sb_fs_2 1.120 0.065 17.122 0.000 0.572 0.572
## .sb_fs_3 1.182 0.069 17.177 0.000 0.554 0.554## lhs op rhs est.std se z pvalue ci.lower ci.upper
## 1 att_1 =~ att4w1 0.837 0.010 82.805 0.000 0.817 0.857
## 2 att_1 =~ att5w1 0.813 0.011 75.711 0.000 0.792 0.834
## 3 att_1 =~ att6w1 0.781 0.011 68.014 0.000 0.759 0.804
## 4 att_2 =~ att4w2 0.868 0.009 100.131 0.000 0.851 0.885
## 5 att_2 =~ att5w2 0.812 0.010 79.512 0.000 0.792 0.832
## 6 att_2 =~ att6w2 0.783 0.011 70.735 0.000 0.761 0.804
## 7 att_3 =~ att4w3 0.897 0.009 103.032 0.000 0.880 0.914
## 8 att_3 =~ att5w3 0.827 0.011 78.065 0.000 0.806 0.847
## 9 att_3 =~ att6w3 0.775 0.012 63.216 0.000 0.751 0.800
## 10 sb_fs_1 =~ sbfs1w1 0.863 0.010 84.384 0.000 0.843 0.883
## 11 sb_fs_1 =~ sbfs2w1 0.799 0.011 69.708 0.000 0.777 0.822
## 12 sb_fs_1 =~ sbfs3w1 0.551 0.018 30.426 0.000 0.515 0.586
## 13 sb_fs_1 =~ sbfu1w1 0.589 0.017 34.260 0.000 0.555 0.622
## 14 sb_fs_2 =~ sbfs1w2 0.848 0.010 85.535 0.000 0.828 0.867
## 15 sb_fs_2 =~ sbfs2w2 0.821 0.010 78.482 0.000 0.800 0.841
## 16 sb_fs_2 =~ sbfs3w2 0.574 0.018 32.644 0.000 0.540 0.609
## 17 sb_fs_2 =~ sbfu1w2 0.577 0.018 32.960 0.000 0.543 0.611
## 18 sb_fs_3 =~ sbfs1w3 0.888 0.009 94.484 0.000 0.870 0.906
## 19 sb_fs_3 =~ sbfs2w3 0.822 0.011 73.651 0.000 0.800 0.844
## 20 sb_fs_3 =~ sbfs3w3 0.608 0.018 33.889 0.000 0.572 0.643
## 21 sb_fs_3 =~ sbfu1w3 0.655 0.016 39.747 0.000 0.622 0.687
## 22 att_2 ~ att_1 0.692 0.018 39.295 0.000 0.658 0.727
## 23 att_2 ~ sb_fs_1 0.002 0.023 0.093 0.926 -0.043 0.047
## 24 sb_fs_2 ~ att_1 0.012 0.024 0.503 0.615 -0.035 0.060
## 25 sb_fs_2 ~ sb_fs_1 0.651 0.020 33.141 0.000 0.613 0.690
## 26 att_3 ~ att_2 0.653 0.019 33.546 0.000 0.615 0.692
## 27 att_3 ~ sb_fs_2 0.107 0.025 4.342 0.000 0.059 0.156
## 28 sb_fs_3 ~ att_2 0.055 0.026 2.117 0.034 0.004 0.107
## 29 sb_fs_3 ~ sb_fs_2 0.650 0.021 31.436 0.000 0.610 0.691
## 30 att_1 ~~ sb_fs_1 0.254 0.026 9.931 0.000 0.204 0.304
## 31 att_2 ~~ sb_fs_2 0.271 0.033 8.333 0.000 0.208 0.335
## 32 att_3 ~~ sb_fs_3 0.313 0.033 9.553 0.000 0.249 0.377
## 33 att4w1 ~~ att4w1 0.299 0.017 17.671 0.000 0.266 0.332
## 34 att5w1 ~~ att5w1 0.340 0.017 19.472 0.000 0.305 0.374
## 35 att6w1 ~~ att6w1 0.390 0.018 21.723 0.000 0.355 0.425
## 36 att4w2 ~~ att4w2 0.247 0.015 16.439 0.000 0.218 0.277
## 37 att5w2 ~~ att5w2 0.340 0.017 20.471 0.000 0.307 0.372
## 38 att6w2 ~~ att6w2 0.387 0.017 22.362 0.000 0.353 0.421
## 39 att4w3 ~~ att4w3 0.195 0.016 12.468 0.000 0.164 0.225
## 40 att5w3 ~~ att5w3 0.317 0.018 18.092 0.000 0.282 0.351
## 41 att6w3 ~~ att6w3 0.399 0.019 20.953 0.000 0.361 0.436
## 42 sbfs1w1 ~~ sbfs1w1 0.256 0.018 14.482 0.000 0.221 0.290
## 43 sbfs2w1 ~~ sbfs2w1 0.361 0.018 19.718 0.000 0.325 0.397
## 44 sbfs3w1 ~~ sbfs3w1 0.697 0.020 34.933 0.000 0.658 0.736
## 45 sbfu1w1 ~~ sbfu1w1 0.653 0.020 32.289 0.000 0.614 0.693
## 46 sbfs1w2 ~~ sbfs1w2 0.282 0.017 16.761 0.000 0.249 0.314
## 47 sbfs2w2 ~~ sbfs2w2 0.326 0.017 19.001 0.000 0.293 0.360
## 48 sbfs3w2 ~~ sbfs3w2 0.670 0.020 33.187 0.000 0.631 0.710
## 49 sbfu1w2 ~~ sbfu1w2 0.667 0.020 33.007 0.000 0.627 0.707
## 50 sbfs1w3 ~~ sbfs1w3 0.212 0.017 12.674 0.000 0.179 0.244
## 51 sbfs2w3 ~~ sbfs2w3 0.324 0.018 17.673 0.000 0.288 0.360
## 52 sbfs3w3 ~~ sbfs3w3 0.631 0.022 28.960 0.000 0.588 0.674
## 53 sbfu1w3 ~~ sbfu1w3 0.571 0.022 26.504 0.000 0.529 0.614
## 54 att_1 ~~ att_1 1.000 0.000 NA NA 1.000 1.000
## 55 att_2 ~~ att_2 0.520 0.023 23.066 0.000 0.476 0.564
## 56 att_3 ~~ att_3 0.523 0.024 22.153 0.000 0.477 0.570
## 57 sb_fs_1 ~~ sb_fs_1 1.000 0.000 NA NA 1.000 1.000
## 58 sb_fs_2 ~~ sb_fs_2 0.572 0.024 23.959 0.000 0.525 0.618
## 59 sb_fs_3 ~~ sb_fs_3 0.554 0.025 22.257 0.000 0.505 0.603
## 60 att4w1 ~1 3.465 0.061 57.037 0.000 3.346 3.584
## 61 att5w1 ~1 4.358 0.074 58.612 0.000 4.212 4.503
## 62 att6w1 ~1 3.754 0.065 57.638 0.000 3.626 3.882
## 63 att4w2 ~1 3.346 0.060 56.069 0.000 3.229 3.463
## 64 att5w2 ~1 3.967 0.069 57.249 0.000 3.831 4.103
## 65 att6w2 ~1 3.548 0.063 56.439 0.000 3.425 3.671
## 66 att4w3 ~1 3.079 0.061 50.607 0.000 2.960 3.199
## 67 att5w3 ~1 3.560 0.069 51.601 0.000 3.425 3.695
## 68 att6w3 ~1 3.365 0.066 51.152 0.000 3.236 3.494
## 69 sbfs1w1 ~1 3.057 0.055 55.642 0.000 2.949 3.164
## 70 sbfs2w1 ~1 3.169 0.057 56.027 0.000 3.058 3.280
## 71 sbfs3w1 ~1 1.828 0.038 48.505 0.000 1.754 1.902
## 72 sbfu1w1 ~1 3.729 0.065 57.201 0.000 3.601 3.857
## 73 sbfs1w2 ~1 2.709 0.050 53.960 0.000 2.611 2.808
## 74 sbfs2w2 ~1 2.902 0.053 54.716 0.000 2.798 3.006
## 75 sbfs3w2 ~1 1.727 0.037 46.938 0.000 1.655 1.800
## 76 sbfu1w2 ~1 3.548 0.063 56.256 0.000 3.424 3.671
## 77 sbfs1w3 ~1 2.604 0.053 48.810 0.000 2.499 2.708
## 78 sbfs2w3 ~1 2.784 0.056 49.425 0.000 2.673 2.894
## 79 sbfs3w3 ~1 1.680 0.040 42.161 0.000 1.602 1.758
## 80 sbfu1w3 ~1 2.881 0.058 49.547 0.000 2.767 2.995
## 81 att_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 82 att_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 83 att_3 ~1 0.000 0.000 NA NA 0.000 0.000
## 84 sb_fs_1 ~1 0.000 0.000 NA NA 0.000 0.000
## 85 sb_fs_2 ~1 0.000 0.000 NA NA 0.000 0.000
## 86 sb_fs_3 ~1 0.000 0.000 NA NA 0.000 0.000Multilevel SEM Model