Rich Mohn posted on Monday, February 24, 2020 - 2:04 pm
So I'm running my first CFA with dichotomous indicators (yes/no as 1/0) and am using the 'categorical are' syntax, and it's working fine . . . however, I've also run it with estimator=mlm, and that also produces quite similar results. There is a preceding EFA that was run in SPSS, which of course can't account for either of those options.
Just looking for some guidance on which is more appropriate for the CFA.
Rich Mohn posted on Friday, February 28, 2020 - 1:40 pm
Thanks . . . the first order CFA looks great, and I am trying a second order model and it won't converge with 10000 iterations . . . is there anything special I need to specify since the first order latent variables are built on categorical indicators?
Or is it that the second order model just isn't a good model : ).