Hello. I was running an EFA using oblique rotation (I believe Oblimin rotation is the default) for three ordinal, Likert-scale items, and 2 questions came up when I examined the output, which had 0 degrees of freedom since the model is just identified.
1.) I changed the default estimation method and used ML estimation because I wanted my results to relate to the overall population and not just to my data. Is OK to use ML estimation in Mplus when running an EFA with 3 ordinal indicators?
2.) Since factor loadings are often interpreted as regression coefficients, could I interpret both my unrotated and rotated factor loadings as I would a logisitic or even an ordinal probit model (e.g., regressing the observed ordinal variable on the latent factor)?