Marcus Fila posted on Tuesday, January 24, 2012 - 6:15 am
I've been using MPLUS for a couple of months now. Today I ran a very standard kind of SEM using continuous DVs and several latent variables. However, the output did not give me all the usual model fit data (e.g., Chi-Sq, CFI etc.) I only got this:
TESTS OF MODEL FIT
H0 Value -16588.837 H0 Scaling Correction Factor 1.327 for MLR
When means, variances, and covariances are not sufficient statistics for model estimation, chi-square and related fit statistics are not available. This can happen with a factor model with categorical factor indicators. In this case, nested models are often compared using loglikelihood difference testing where -2 times the loglikelihood difference is distributed as chi-square.
Marcus Fila posted on Thursday, January 26, 2012 - 5:34 am
My factor indicators, however, are all quantitative. Is there thus a problem with my model? If not, would reporting the fit data I 'did' get in my output (see original post) be sufficient?
PS - I posted this again by accident. Please ignore this other post.