I have run a longitudinal data analysis (autoregressive) cross-lagged. The results indicate poor model fit based on chi-squared as shown below:
Chi-Square Test of Model Fit 297.253* Degrees of Freedom 6 P-Value 0.0000 Scaling Correction Factor 1.1038 for MLR
Chi-Square Contribution From Each Group MALE 147.433 FEMALE 149.820
* The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used for chi-square difference testing in the regular way. MLMV, WLSMV, and ULSMV difference testing is done using the DIFFTEST option.
RMSEA Estimate 0.294 Probability RMSEA <= .05 0.000
CFI/TLI CFI 0.865 TLI -0.483
Chi-Square Test of Model Fit for the Baseline Model Value 2225.690 Degrees of Freedom 66 P-Value 0.0000
SRMR Value 0.074
There is the option of doing the Satorra-Bentler scaling correction. I am cannot do this as I only have 1 corrected MLR. There is also an option given as DIFTEST which I am not familiar with. I would be grateful if you could explain this and how this can be done.