lavaan 0.6-2 ended normally after 37 iterations Optimization method NLMINB Number of free parameters 20 Number of observations 5856 Estimator DWLS Robust Model Fit Test Statistic 1.099 1.190 Degrees of freedom 1 1 P-value (Chi-square) 0.294 0.275 Scaling correction factor 0.924 Shift parameter -0.000 for simple second-order correction (Mplus variant) Model test baseline model: Minimum Function Test Statistic 135736.380 120226.298 Degrees of freedom 10 10 P-value 0.000 0.000 User model versus baseline model: Comparative Fit Index (CFI) 1.000 1.000 Tucker-Lewis Index (TLI) 1.000 1.000 Robust Comparative Fit Index (CFI) NA Robust Tucker-Lewis Index (TLI) NA Root Mean Square Error of Approximation: RMSEA 0.004 0.006 90 Percent Confidence Interval 0.000 0.035 0.000 0.036 P-value RMSEA <= 0.05 0.997 0.997 Robust RMSEA NA 90 Percent Confidence Interval 0.000 NA Standardized Root Mean Square Residual: SRMR 0.004 0.004 Parameter Estimates: Information Expected Information saturated (h1) model Unstructured Standard Errors Robust.sem Latent Variables: Estimate Std.Err z-value P(>|z|) Std.lv Std.all control_labor =~ income001 0.226 0.004 62.635 0.000 0.226 0.411 wh0001 0.272 0.005 56.327 0.000 0.272 0.408 skill 0.485 0.007 64.877 0.000 0.485 0.485 mwh21 -0.406 0.006 -65.778 0.000 -0.406 -0.431 njob -0.955 0.016 -61.478 0.000 -0.955 -0.955 Covariances: Estimate Std.Err z-value P(>|z|) Std.lv Std.all .income001 ~~ .njob -0.040 0.006 -6.262 0.000 -0.040 -0.267 .wh0001 0.037 0.002 14.950 0.000 0.037 0.122 .wh0001 ~~ .njob 0.131 0.009 14.329 0.000 0.131 0.726 .income001 ~~ .skill 0.201 0.004 48.196 0.000 0.201 0.460 Intercepts: Estimate Std.Err z-value P(>|z|) Std.lv Std.all .income001 0.715 0.010 72.616 0.000 0.715 1.302 .wh0001 2.064 0.009 235.999 0.000 2.064 3.099 .skill 0.000 0.000 0.000 .mwh21 0.313 0.019 16.864 0.000 0.313 0.332 .njob 0.000 0.000 0.000 control_labor 0.000 0.000 0.000 Thresholds: Estimate Std.Err z-value P(>|z|) Std.lv Std.all skill|t1 -0.418 0.017 -24.698 0.000 -0.418 -0.418 skill|t2 0.911 0.019 47.678 0.000 0.911 0.911 skill|t3 1.155 0.021 54.885 0.000 1.155 1.155 njob|t1 0.087 0.016 5.304 0.000 0.087 0.087 njob|t2 1.490 0.025 59.494 0.000 1.490 1.490 Variances: Estimate Std.Err z-value P(>|z|) Std.lv Std.all .income001 0.251 0.003 95.713 0.000 0.251 0.831 .wh0001 0.370 0.006 60.003 0.000 0.370 0.833 .skill 0.765 0.765 0.765 .mwh21 0.725 0.005 146.140 0.000 0.725 0.814 .njob 0.089 0.089 0.089 control_labor 1.000 1.000 1.000 Scales y*: Estimate Std.Err z-value P(>|z|) Std.lv Std.all skill 1.000 1.000 1.000 njob 1.000 1.000 1.000 R-Square: Estimate income001 0.169 wh0001 0.167 skill 0.235 mwh21 0.186 njob 0.911