I have a two-level structural model in which I test the relationships among 5 latent variables at the student level and 3 latent variables at the classroom level. The factor indicators which define the latent variables are categorical.
I also think to check multivariate normality, however, I would not be able to use MAHALANOBIS option of Mplus, since I have categorical outcomes.
For power analysis with categorical outcomes is Monte Carlo study appropriate or such simulation studies specific to continuous variables in Mplus?
There is no assumption of normality of categorical items. Categorical data methodology takes into account floor and ceiling effects.
Monte Carlo studies are appropriate for any scale type.
Utkun Ozdil posted on Tuesday, June 14, 2011 - 10:04 pm
Thanks Linda,, I have a follow up question. Mplus does not save a file for residuals.In order to test the independence of residuals for different levels and the independence of residuals for different units in the same level with respect to the two-level model above can I save residual files in SPSS and use it as a .dat file in Mplus?
Or there is no need to test these assumptions with categorical factor indicators using Mplus?