Is there a method for comparing models in the EFA framework? The fit statistics are very useful but it's difficult to say which model actually is the "best" fitting model. Is EFA in the CFA framework the method of choice for EFA model comparison? Also, is it possible with the WLSMV estimator? Thank you!
Note, however, that testing m-1 factors against m factors is susceptible to overfactoring and inflated Type I error, see Hayashi, K., Bentler, P. M., & Yuan, K. (2007). On the likelihood ratio test for the number of factors in exploratory factor analysis. Structural Equation Modeling, 14, 505–526.
The DIFFTEST option is used only with WLSMV. With WLSM a scaling correction factor is given that is used when hand calculating the chi-square difference test. WLSM and WLSMV perform pretty much the same.
Hi, Which relative fit indexes do you recommend for EFA with MPlus? My model gives a low CFI (.88), but good RMSEA (.06) and SRMR (.03), and the factor structures make theoretical sense. Can I rely on RMSEA and SRMR in such a case?
I have an EFA model with categorical items. The estimator is WLSM. How can I compare the models ( e.g. a model with 5 factors vs. a model with 6 factors)? There is a warning about comparing the chi-squares. Should I use the formula's in the technical appendix on difference testing, however, there is only mentioned ML, MLM or MLR as estimators?