lavaan 0.6-5 ended normally after 34 iterations Estimator ML Optimization method NLMINB Number of free parameters 25 Number of observations 189 Number of missing patterns 1 Model Test User Model: Test statistic 936.294 Degrees of freedom 19 P-value (Chi-square) 0.000 Model Test Baseline Model: Test statistic 3064.468 Degrees of freedom 28 P-value 0.000 User Model versus Baseline Model: Comparative Fit Index (CFI) 0.698 Tucker-Lewis Index (TLI) 0.555 Loglikelihood and Information Criteria: Loglikelihood user model (H0) -1077.337 Loglikelihood unrestricted model (H1) -609.190 Akaike (AIC) 2204.675 Bayesian (BIC) 2285.719 Sample-size adjusted Bayesian (BIC) 2206.530 Root Mean Square Error of Approximation: RMSEA 0.505 90 Percent confidence interval - lower 0.478 90 Percent confidence interval - upper 0.533 P-value RMSEA <= 0.05 0.000 Standardized Root Mean Square Residual: SRMR 0.030 Parameter Estimates: Information Observed Observed information based on Hessian Standard errors Standard Latent Variables: Estimate Std.Err z-value P(>|z|) Std.lv Std.all read =~ read_V1 0.884 0.057 15.532 0.000 0.884 0.887 read_V2 0.950 0.054 17.616 0.000 0.950 0.953 read_V3 0.949 0.054 17.562 0.000 0.949 0.951 read_V4 0.915 0.056 16.462 0.000 0.915 0.917 read1 =~ read1_V1 0.938 0.054 17.242 0.000 0.938 0.940 read1_V2 0.966 0.053 18.231 0.000 0.966 0.969 read1_V3 0.951 0.054 17.701 0.000 0.951 0.954 read1_V4 0.939 0.054 17.278 0.000 0.939 0.941 Covariances: Estimate Std.Err z-value P(>|z|) Std.lv Std.all read ~~ read1 0.738 0.035 20.882 0.000 0.738 0.738 Intercepts: Estimate Std.Err z-value P(>|z|) Std.lv Std.all .read_V1 0.000 0.073 0.000 1.000 0.000 0.000 .read_V2 -0.000 0.073 -0.000 1.000 -0.000 -0.000 .read_V3 -0.000 0.073 -0.000 1.000 -0.000 -0.000 .read_V4 0.000 0.073 0.000 1.000 0.000 0.000 .read1_V1 -0.000 0.073 -0.000 1.000 -0.000 -0.000 .read1_V2 -0.000 0.073 -0.000 1.000 -0.000 -0.000 .read1_V3 -0.000 0.073 -0.000 1.000 -0.000 -0.000 .read1_V4 0.000 0.073 0.000 1.000 0.000 0.000 read 0.000 0.000 0.000 read1 0.000 0.000 0.000 Variances: Estimate Std.Err z-value P(>|z|) Std.lv Std.all .read_V1 0.212 0.025 8.460 0.000 0.212 0.214 .read_V2 0.091 0.015 6.105 0.000 0.091 0.092 .read_V3 0.095 0.015 6.274 0.000 0.095 0.095 .read_V4 0.157 0.020 7.856 0.000 0.157 0.158 .read1_V1 0.115 0.015 7.888 0.000 0.115 0.116 .read1_V2 0.061 0.010 5.951 0.000 0.061 0.061 .read1_V3 0.090 0.012 7.223 0.000 0.090 0.090 .read1_V4 0.113 0.015 7.783 0.000 0.113 0.114 read 1.000 1.000 1.000 read1 1.000 1.000 1.000