Fit measures for QML and LMS models
fit_modsem_da.RdCalculates chi-sq test and p-value, as well as RMSEA for the LMS and QML models. Note that the Chi-Square based fit measures should be calculated for the baseline model, i.e., the model without the interaction effect
Arguments
- model
fitted model. Thereafter, you can use 'compare_fit()' to assess the comparative fit of the models. If the interaction effect makes the model better, and e.g., the RMSEA is good for the baseline model, the interaction model likely has a good RMSEA as well.
- chisq
should Chi-Square based fit-measures be calculated?
- lav.fit
Should fit indices from the
lavaanmodel used to optimize the starting parameters be included (if available)? This is usually only approprioate for linear models (i.e., no interaction effects), where the parameter estimates for LMS and QML are equivalent to ML estimates from lavaan.