## Warning: lavaan->lav_model_vcov():
## The variance-covariance matrix of the estimated parameters (vcov) does not
## appear to be positive definite! The smallest eigenvalue (= -4.296308e-20)
## is smaller than zero. This may be a symptom that the model is not
## identified.
## lavaan 0.6-19 ended normally after 60 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 44
##
## Number of observations 4999
## Number of missing patterns 1
##
## Model Test User Model:
## Standard Scaled
## Test Statistic 86.937 84.875
## Degrees of freedom 10 10
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.024
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 8218.781 7892.795
## Degrees of freedom 36 36
## P-value 0.000 0.000
## Scaling correction factor 1.041
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.991 0.990
## Tucker-Lewis Index (TLI) 0.966 0.966
##
## Robust Comparative Fit Index (CFI) 0.991
## Robust Tucker-Lewis Index (TLI) 0.966
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -27466.094 -27466.094
## Scaling correction factor 1.169
## for the MLR correction
## Loglikelihood unrestricted model (H1) -27422.625 -27422.625
## Scaling correction factor 1.142
## for the MLR correction
##
## Akaike (AIC) 55020.187 55020.187
## Bayesian (BIC) 55306.935 55306.935
## Sample-size adjusted Bayesian (SABIC) 55167.118 55167.118
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.039 0.039
## 90 Percent confidence interval - lower 0.032 0.031
## 90 Percent confidence interval - upper 0.047 0.046
## P-value H_0: RMSEA <= 0.050 0.989 0.993
## P-value H_0: RMSEA >= 0.080 0.000 0.000
##
## Robust RMSEA 0.039
## 90 Percent confidence interval - lower 0.032
## 90 Percent confidence interval - upper 0.047
## P-value H_0: Robust RMSEA <= 0.050 0.989
## P-value H_0: Robust RMSEA >= 0.080 0.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.014 0.014
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## X2TCHEXT ~
## X1TCHEXT (a1) 0.749 0.013 58.388 0.000 0.749 0.727
## X2TCHINT ~
## X1TCHINT (a2) 0.557 0.017 32.278 0.000 0.557 0.545
## X2TCHEXT ~
## X1TCHINT (b1) 0.004 0.015 0.260 0.794 0.004 0.003
## X2TCHINT ~
## X1TCHEXT (b2) 0.078 0.011 7.101 0.000 0.078 0.098
## X1TCHEXT ~
## sex_recod 0.269 0.017 16.074 0.000 0.269 0.219
## Black 0.042 0.028 1.494 0.135 0.042 0.023
## Hispanic -0.044 0.023 -1.865 0.062 -0.044 -0.029
## Other 0.006 0.027 0.241 0.809 0.006 0.003
## X12SESL -0.103 0.011 -9.175 0.000 -0.103 -0.134
## X1TCHINT ~
## sex_recod 0.045 0.013 3.370 0.001 0.045 0.047
## Black -0.058 0.022 -2.666 0.008 -0.058 -0.041
## Hispanic -0.020 0.019 -1.050 0.294 -0.020 -0.017
## Other -0.002 0.021 -0.099 0.921 -0.002 -0.001
## X12SESL -0.047 0.009 -5.334 0.000 -0.047 -0.079
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .X1TCHEXT ~~
## .X1TCHINT 0.071 0.005 13.929 0.000 0.071 0.252
## .X2TCHEXT ~~
## .X2TCHINT 0.043 0.003 12.931 0.000 0.043 0.249
## sex_recode ~~
## Black 0.000 0.002 0.132 0.895 0.000 0.002
## Hispanic -0.001 0.003 -0.373 0.709 -0.001 -0.005
## Other -0.006 0.002 -2.679 0.007 -0.006 -0.038
## X12SESL 0.001 0.006 0.248 0.804 0.001 0.004
## Black ~~
## Hispanic -0.027 0.001 -24.294 0.000 -0.027 -0.199
## Other -0.015 0.001 -20.042 0.000 -0.015 -0.139
## X12SESL -0.043 0.004 -11.575 0.000 -0.043 -0.159
## Hispanic ~~
## Other -0.024 0.001 -22.898 0.000 -0.024 -0.185
## X12SESL -0.096 0.005 -20.234 0.000 -0.096 -0.295
## Other ~~
## X12SESL 0.029 0.004 7.461 0.000 0.029 0.113
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .X2TCHEXT 0.438 0.025 17.586 0.000 0.438 0.692
## .X2TCHINT 0.572 0.025 23.107 0.000 0.572 1.175
## .X1TCHEXT 1.455 0.013 108.086 0.000 1.455 2.370
## .X1TCHINT 1.440 0.011 129.156 0.000 1.440 3.024
## sex_recode 0.510 0.007 72.118 0.000 0.510 1.020
## Black 0.130 0.005 27.334 0.000 0.130 0.387
## Hispanic 0.209 0.006 36.370 0.000 0.209 0.514
## Other 0.114 0.004 25.390 0.000 0.114 0.359
## X12SESL 0.009 0.011 0.764 0.445 0.009 0.011
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .X2TCHEXT 0.188 0.006 33.892 0.000 0.188 0.470
## .X2TCHINT 0.157 0.005 33.902 0.000 0.157 0.665
## .X1TCHEXT 0.352 0.009 37.876 0.000 0.352 0.934
## .X1TCHINT 0.225 0.007 31.951 0.000 0.225 0.992
## sex_recode 0.250 0.000 1784.737 0.000 0.250 1.000
## Black 0.113 0.004 32.137 0.000 0.113 1.000
## Hispanic 0.165 0.003 49.457 0.000 0.165 1.000
## Other 0.101 0.003 29.148 0.000 0.101 1.000
## X12SESL 0.637 0.011 57.020 0.000 0.637 1.000
##
## R-Square:
## Estimate
## X2TCHEXT 0.530
## X2TCHINT 0.335
## X1TCHEXT 0.066
## X1TCHINT 0.008