lavaan 0.6-3 ended normally after 48 iterations Optimization method NLMINB Number of free parameters 14 Number of observations 165 Number of missing patterns 3 Estimator ML Robust Model Fit Test Statistic 0.000 0.000 Degrees of freedom 0 0 Scaling correction factor NA for the Yuan-Bentler correction (Mplus variant) Model test baseline model: Minimum Function Test Statistic 240.339 174.468 Degrees of freedom 6 6 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) 1.000 Robust Tucker-Lewis Index (TLI) 1.000 Loglikelihood and Information Criteria: Loglikelihood user model (H0) -76.652 -76.652 Loglikelihood unrestricted model (H1) -76.652 -76.652 Number of free parameters 14 14 Akaike (AIC) 181.304 181.304 Bayesian (BIC) 224.787 224.787 Sample-size adjusted Bayesian (BIC) 180.463 180.463 Root Mean Square Error of Approximation: RMSEA 0.000 0.000 90 Percent Confidence Interval 0.000 0.000 0.000 0.000 P-value RMSEA <= 0.05 NA NA Robust RMSEA 0.000 90 Percent Confidence Interval 0.000 0.000 Standardized Root Mean Square Residual: SRMR 0.000 0.000 Parameter Estimates: Information Observed Observed information based on Hessian Standard Errors Robust.huber.white Latent Variables: Estimate Std.Err z-value P(>|z|) Std.lv Std.all dRBSR1 =~ RBSR_T2 1.000 0.270 0.654 dANX1 =~ ANX_T2 1.000 0.260 0.986 Regressions: Estimate Std.Err z-value P(>|z|) Std.lv Std.all RBSR_T2 ~ RBSR_T1 1.000 1.000 0.964 ANX_T2 ~ ANX_T1 1.000 1.000 0.994 dANX1 ~ RBSR_T1 0.179 0.045 3.990 0.000 0.690 0.275 ANX_T1 -0.524 0.077 -6.811 0.000 -2.014 -0.528 dRBSR1 ~ ANX_T1 0.129 0.087 1.476 0.140 0.476 0.125 RBSR_T1 -0.204 0.066 -3.083 0.002 -0.755 -0.301 Covariances: Estimate Std.Err z-value P(>|z|) Std.lv Std.all RBSR_T1 ~~ ANX_T1 0.015 0.008 1.753 0.080 0.015 0.139 .dRBSR1 ~~ .dANX1 0.018 0.004 4.701 0.000 0.333 0.333 Intercepts: Estimate Std.Err z-value P(>|z|) Std.lv Std.all .dRBSR1 0.077 0.087 0.891 0.373 0.286 0.286 RBSR_T1 1.077 0.031 34.745 0.000 1.077 2.705 .RBSR_T2 0.000 0.000 0.000 .ANX_T2 0.000 0.000 0.000 .dANX1 0.145 0.063 2.316 0.021 0.558 0.558 ANX_T1 0.667 0.021 31.106 0.000 0.667 2.542 Variances: Estimate Std.Err z-value P(>|z|) Std.lv Std.all .ANX_T2 0.000 0.000 0.000 .dRBSR1 0.066 0.010 6.507 0.000 0.905 0.905 RBSR_T1 0.159 0.019 8.491 0.000 0.159 1.000 .RBSR_T2 0.000 0.000 0.000 .dANX1 0.046 0.006 8.252 0.000 0.686 0.686 ANX_T1 0.069 0.009 7.940 0.000 0.069 1.000 R-Square: Estimate ANX_T2 1.000 dRBSR1 0.095 RBSR_T2 1.000 dANX1 0.314