=============== CFA at time1 =============== lavaan 0.6-7 ended normally after 51 iterations Estimator ML Optimization method NLMINB Number of free parameters 69 Number of observations 594 Model Test User Model: Test statistic 1128.062 Degrees of freedom 396 P-value (Chi-square) 0.000 Model Test Baseline Model: Test statistic 10879.594 Degrees of freedom 435 P-value 0.000 User Model versus Baseline Model: Comparative Fit Index (CFI) 0.930 Tucker-Lewis Index (TLI) 0.923 Loglikelihood and Information Criteria: Loglikelihood user model (H0) -24847.814 Loglikelihood unrestricted model (H1) -24283.783 Akaike (AIC) 49833.627 Bayesian (BIC) 50136.322 Sample-size adjusted Bayesian (BIC) 49917.268 Root Mean Square Error of Approximation: RMSEA 0.056 90 Percent confidence interval - lower 0.052 90 Percent confidence interval - upper 0.060 P-value RMSEA <= 0.05 0.006 Standardized Root Mean Square Residual: SRMR 0.055 Parameter Estimates: Standard errors Standard Information Expected Information saturated (h1) model Structured Latent Variables: Estimate Std.Err z-value P(>|z|) smscf =~ SMSCFt1_1 1.000 SMSCFt1_2 1.123 0.044 25.555 0.000 SMSCFt1_3 1.145 0.045 25.363 0.000 maas =~ MAASt1_1 1.000 MAASt1_2 1.249 0.141 8.839 0.000 MAASt1_3 1.484 0.154 9.627 0.000 MAASt1_4 1.622 0.167 9.688 0.000 MAASt1_5 1.499 0.157 9.568 0.000 MAASt1_6 1.288 0.155 8.295 0.000 MAASt1_7 1.866 0.176 10.628 0.000 MAASt1_8 1.843 0.170 10.861 0.000 MAASt1_9 1.579 0.158 10.001 0.000 MAASt1_10 1.702 0.162 10.487 0.000 MAASt1_11 1.319 0.146 9.043 0.000 MAASt1_12 1.567 0.172 9.099 0.000 MAASt1_13 1.457 0.156 9.365 0.000 MAASt1_14 1.859 0.172 10.804 0.000 MAASt1_15 1.599 0.173 9.237 0.000 svs =~ SVSt1_1 1.000 SVSt1_2 0.886 0.048 18.290 0.000 SVSt1_3 0.835 0.048 17.390 0.000 SVSt1_4 0.993 0.040 25.049 0.000 SVSt1_5 0.989 0.042 23.469 0.000 SVSt1_6 0.929 0.044 21.087 0.000 SVSt1_7 1.039 0.041 25.488 0.000 swls =~ SWLSt1_1 1.000 SWLSt1_2 0.954 0.030 32.341 0.000 SWLSt1_3 1.048 0.030 35.057 0.000 SWLSt1_4 0.856 0.034 25.175 0.000 SWLSt1_5 0.780 0.041 19.060 0.000 Covariances: Estimate Std.Err z-value P(>|z|) .MAASt1_2 ~~ .MAASt1_3 0.412 0.051 8.121 0.000 .MAASt1_9 ~~ .MAASt1_10 0.187 0.036 5.175 0.000 .SVSt1_6 ~~ .SVSt1_7 0.169 0.024 7.168 0.000 smscf ~~ maas -0.202 0.028 -7.086 0.000 svs -0.158 0.037 -4.270 0.000 swls -0.105 0.060 -1.767 0.077 maas ~~ svs 0.146 0.025 5.827 0.000 swls 0.176 0.038 4.629 0.000 svs ~~ swls 0.929 0.077 12.121 0.000 Variances: Estimate Std.Err z-value P(>|z|) .SMSCFt1_1 0.411 0.029 13.960 0.000 .SMSCFt1_2 0.219 0.025 8.885 0.000 .SMSCFt1_3 0.252 0.026 9.557 0.000 .MAASt1_1 1.041 0.062 16.829 0.000 .MAASt1_2 1.169 0.070 16.654 0.000 .MAASt1_3 1.030 0.063 16.323 0.000 .MAASt1_4 1.182 0.073 16.295 0.000 .MAASt1_5 1.095 0.067 16.369 0.000 .MAASt1_6 1.652 0.098 16.811 0.000 .MAASt1_7 0.679 0.045 15.062 0.000 .MAASt1_8 0.482 0.034 14.239 0.000 .MAASt1_9 0.882 0.055 15.944 0.000 .MAASt1_10 0.661 0.043 15.308 0.000 .MAASt1_11 1.167 0.070 16.606 0.000 .MAASt1_12 1.597 0.096 16.586 0.000 .MAASt1_13 1.178 0.071 16.474 0.000 .MAASt1_14 0.534 0.037 14.488 0.000 .MAASt1_15 1.533 0.093 16.531 0.000 .SVSt1_1 0.343 0.025 13.775 0.000 .SVSt1_2 0.757 0.047 16.020 0.000 .SVSt1_3 0.770 0.048 16.177 0.000 .SVSt1_4 0.330 0.024 13.685 0.000 .SVSt1_5 0.426 0.029 14.523 0.000 .SVSt1_6 0.532 0.035 15.026 0.000 .SVSt1_7 0.331 0.025 13.268 0.000 .SWLSt1_1 0.504 0.041 12.185 0.000 .SWLSt1_2 0.588 0.044 13.323 0.000 .SWLSt1_3 0.494 0.043 11.590 0.000 .SWLSt1_4 1.059 0.068 15.530 0.000 .SWLSt1_5 1.792 0.109 16.404 0.000 smscf 0.788 0.068 11.660 0.000 maas 0.259 0.047 5.501 0.000 svs 0.814 0.066 12.362 0.000 swls 2.272 0.161 14.104 0.000 =============== CFA at time2 =============== lavaan 0.6-7 ended normally after 59 iterations Estimator ML Optimization method NLMINB Number of free parameters 69 Used Total Number of observations 410 594 Model Test User Model: Test statistic 819.272 Degrees of freedom 396 P-value (Chi-square) 0.000 Model Test Baseline Model: Test statistic 7968.625 Degrees of freedom 435 P-value 0.000 User Model versus Baseline Model: Comparative Fit Index (CFI) 0.944 Tucker-Lewis Index (TLI) 0.938 Loglikelihood and Information Criteria: Loglikelihood user model (H0) -16651.294 Loglikelihood unrestricted model (H1) -16241.658 Akaike (AIC) 33440.588 Bayesian (BIC) 33717.703 Sample-size adjusted Bayesian (BIC) 33498.753 Root Mean Square Error of Approximation: RMSEA 0.051 90 Percent confidence interval - lower 0.046 90 Percent confidence interval - upper 0.056 P-value RMSEA <= 0.05 0.356 Standardized Root Mean Square Residual: SRMR 0.058 Parameter Estimates: Standard errors Standard Information Expected Information saturated (h1) model Structured Latent Variables: Estimate Std.Err z-value P(>|z|) smscf =~ SMSCFt2_1 1.000 SMSCFt2_2 1.060 0.056 19.005 0.000 SMSCFt2_3 1.114 0.058 19.057 0.000 maas =~ MAASt2_1 1.000 MAASt2_2 1.316 0.164 8.015 0.000 MAASt2_3 1.797 0.200 9.004 0.000 MAASt2_4 1.588 0.187 8.491 0.000 MAASt2_5 1.310 0.168 7.788 0.000 MAASt2_6 1.217 0.175 6.941 0.000 MAASt2_7 1.957 0.202 9.700 0.000 MAASt2_8 1.947 0.199 9.777 0.000 MAASt2_9 1.620 0.177 9.162 0.000 MAASt2_10 1.796 0.188 9.527 0.000 MAASt2_11 1.325 0.161 8.255 0.000 MAASt2_12 1.441 0.184 7.816 0.000 MAASt2_13 1.667 0.193 8.641 0.000 MAASt2_14 2.066 0.208 9.956 0.000 MAASt2_15 1.689 0.202 8.345 0.000 svs =~ SVSt2_1 1.000 SVSt2_2 0.818 0.054 15.067 0.000 SVSt2_3 0.716 0.053 13.388 0.000 SVSt2_4 0.948 0.045 21.111 0.000 SVSt2_5 0.937 0.046 20.175 0.000 SVSt2_6 0.858 0.047 18.336 0.000 SVSt2_7 0.941 0.043 21.823 0.000 swls =~ SWLSt2_1 1.000 SWLSt2_2 0.907 0.036 24.934 0.000 SWLSt2_3 1.046 0.034 30.706 0.000 SWLSt2_4 0.833 0.040 20.810 0.000 SWLSt2_5 0.870 0.045 19.164 0.000 Covariances: Estimate Std.Err z-value P(>|z|) .MAASt2_2 ~~ .MAASt2_3 0.279 0.055 5.045 0.000 .MAASt2_9 ~~ .MAASt2_10 0.100 0.034 2.927 0.003 .SVSt2_6 ~~ .SVSt2_7 0.104 0.024 4.380 0.000 smscf ~~ maas -0.229 0.035 -6.498 0.000 svs -0.215 0.046 -4.683 0.000 swls -0.265 0.070 -3.787 0.000 maas ~~ svs 0.220 0.035 6.255 0.000 swls 0.250 0.048 5.217 0.000 svs ~~ swls 0.943 0.092 10.237 0.000 Variances: Estimate Std.Err z-value P(>|z|) .SMSCFt2_1 0.443 0.039 11.429 0.000 .SMSCFt2_2 0.249 0.031 8.141 0.000 .SMSCFt2_3 0.265 0.033 7.947 0.000 .MAASt2_1 0.925 0.066 14.047 0.000 .MAASt2_2 1.078 0.078 13.898 0.000 .MAASt2_3 0.975 0.072 13.475 0.000 .MAASt2_4 1.149 0.083 13.767 0.000 .MAASt2_5 1.230 0.088 13.968 0.000 .MAASt2_6 1.693 0.120 14.099 0.000 .MAASt2_7 0.502 0.041 12.387 0.000 .MAASt2_8 0.434 0.036 12.102 0.000 .MAASt2_9 0.676 0.051 13.256 0.000 .MAASt2_10 0.546 0.043 12.758 0.000 .MAASt2_11 0.941 0.068 13.850 0.000 .MAASt2_12 1.464 0.105 13.962 0.000 .MAASt2_13 1.133 0.083 13.702 0.000 .MAASt2_14 0.327 0.030 11.003 0.000 .MAASt2_15 1.439 0.104 13.820 0.000 .SVSt2_1 0.317 0.029 11.096 0.000 .SVSt2_2 0.738 0.055 13.407 0.000 .SVSt2_3 0.763 0.056 13.645 0.000 .SVSt2_4 0.347 0.030 11.682 0.000 .SVSt2_5 0.402 0.033 12.101 0.000 .SVSt2_6 0.451 0.036 12.395 0.000 .SVSt2_7 0.294 0.026 11.103 0.000 .SWLSt2_1 0.453 0.045 10.027 0.000 .SWLSt2_2 0.690 0.057 12.069 0.000 .SWLSt2_3 0.386 0.043 8.881 0.000 .SWLSt2_4 0.990 0.076 13.017 0.000 .SWLSt2_5 1.341 0.101 13.275 0.000 smscf 0.737 0.080 9.226 0.000 maas 0.260 0.053 4.880 0.000 svs 0.866 0.082 10.610 0.000 swls 2.157 0.182 11.825 0.000 =============== CFA at time3 =============== lavaan 0.6-7 ended normally after 52 iterations Estimator ML Optimization method NLMINB Number of free parameters 69 Used Total Number of observations 329 594 Model Test User Model: Test statistic 854.811 Degrees of freedom 396 P-value (Chi-square) 0.000 Model Test Baseline Model: Test statistic 6746.076 Degrees of freedom 435 P-value 0.000 User Model versus Baseline Model: Comparative Fit Index (CFI) 0.927 Tucker-Lewis Index (TLI) 0.920 Loglikelihood and Information Criteria: Loglikelihood user model (H0) -13200.821 Loglikelihood unrestricted model (H1) -12773.416 Akaike (AIC) 26539.643 Bayesian (BIC) 26801.571 Sample-size adjusted Bayesian (BIC) 26582.703 Root Mean Square Error of Approximation: RMSEA 0.059 90 Percent confidence interval - lower 0.054 90 Percent confidence interval - upper 0.065 P-value RMSEA <= 0.05 0.003 Standardized Root Mean Square Residual: SRMR 0.056 Parameter Estimates: Standard errors Standard Information Expected Information saturated (h1) model Structured Latent Variables: Estimate Std.Err z-value P(>|z|) smscf =~ SMSCFt3_1 1.000 SMSCFt3_2 1.133 0.062 18.297 0.000 SMSCFt3_3 1.096 0.062 17.639 0.000 maas =~ MAASt3_1 1.000 MAASt3_2 1.296 0.197 6.569 0.000 MAASt3_3 1.726 0.232 7.445 0.000 MAASt3_4 1.687 0.236 7.160 0.000 MAASt3_5 1.374 0.199 6.891 0.000 MAASt3_6 1.370 0.219 6.256 0.000 MAASt3_7 2.000 0.251 7.963 0.000 MAASt3_8 1.948 0.244 7.987 0.000 MAASt3_9 1.592 0.213 7.483 0.000 MAASt3_10 1.757 0.226 7.765 0.000 MAASt3_11 1.419 0.204 6.967 0.000 MAASt3_12 1.564 0.234 6.674 0.000 MAASt3_13 1.720 0.239 7.185 0.000 MAASt3_14 2.031 0.253 8.036 0.000 MAASt3_15 1.805 0.254 7.109 0.000 svs =~ SVSt3_1 1.000 SVSt3_2 0.950 0.061 15.695 0.000 SVSt3_3 0.837 0.057 14.685 0.000 SVSt3_4 0.976 0.050 19.681 0.000 SVSt3_5 0.907 0.051 17.961 0.000 SVSt3_6 0.897 0.051 17.711 0.000 SVSt3_7 0.982 0.046 21.332 0.000 swls =~ SWLSt3_1 1.000 SWLSt3_2 0.938 0.038 24.879 0.000 SWLSt3_3 1.005 0.037 26.832 0.000 SWLSt3_4 0.871 0.045 19.160 0.000 SWLSt3_5 0.909 0.053 17.094 0.000 Covariances: Estimate Std.Err z-value P(>|z|) .MAASt3_2 ~~ .MAASt3_3 0.241 0.059 4.056 0.000 .MAASt3_9 ~~ .MAASt3_10 0.074 0.039 1.910 0.056 .SVSt3_6 ~~ .SVSt3_7 0.105 0.024 4.395 0.000 smscf ~~ maas -0.209 0.038 -5.530 0.000 svs -0.195 0.049 -3.965 0.000 swls -0.146 0.072 -2.026 0.043 maas ~~ svs 0.183 0.036 5.026 0.000 swls 0.195 0.049 4.019 0.000 svs ~~ swls 0.863 0.097 8.921 0.000 Variances: Estimate Std.Err z-value P(>|z|) .SMSCFt3_1 0.386 0.038 10.206 0.000 .SMSCFt3_2 0.192 0.032 6.007 0.000 .SMSCFt3_3 0.286 0.035 8.216 0.000 .MAASt3_1 1.039 0.082 12.604 0.000 .MAASt3_2 1.127 0.090 12.465 0.000 .MAASt3_3 0.871 0.072 12.025 0.000 .MAASt3_4 1.142 0.093 12.250 0.000 .MAASt3_5 0.975 0.079 12.379 0.000 .MAASt3_6 1.595 0.127 12.554 0.000 .MAASt3_7 0.495 0.045 10.946 0.000 .MAASt3_8 0.443 0.041 10.832 0.000 .MAASt3_9 0.701 0.059 11.915 0.000 .MAASt3_10 0.566 0.049 11.496 0.000 .MAASt3_11 0.972 0.079 12.347 0.000 .MAASt3_12 1.516 0.122 12.453 0.000 .MAASt3_13 1.157 0.095 12.235 0.000 .MAASt3_14 0.423 0.040 10.553 0.000 .MAASt3_15 1.375 0.112 12.278 0.000 .SVSt3_1 0.298 0.030 10.099 0.000 .SVSt3_2 0.678 0.058 11.761 0.000 .SVSt3_3 0.633 0.053 11.943 0.000 .SVSt3_4 0.341 0.032 10.560 0.000 .SVSt3_5 0.408 0.036 11.204 0.000 .SVSt3_6 0.405 0.037 10.921 0.000 .SVSt3_7 0.240 0.025 9.444 0.000 .SWLSt3_1 0.420 0.046 9.055 0.000 .SWLSt3_2 0.478 0.048 9.938 0.000 .SWLSt3_3 0.396 0.045 8.789 0.000 .SWLSt3_4 0.947 0.082 11.597 0.000 .SWLSt3_5 1.396 0.117 11.921 0.000 smscf 0.707 0.083 8.520 0.000 maas 0.242 0.060 4.008 0.000 svs 0.860 0.089 9.651 0.000 swls 2.021 0.190 10.620 0.000