Multiple imputation is done using the Bayes estimator.
1. Only categorical. 2. Yes.
See the following paper on the website under Papers/Bayesian Analysis:
Asparouhov, T. & Muthén, B. (2010). Multiple imputation with Mplus. Technical Report. Version 2.
Sarah posted on Wednesday, August 27, 2014 - 6:48 am
Dear Drs. Muthen
I have a query regarding missing data when using WLSMV estimator. I conducted a CFA to validate a single latent variable construct of father involvement using data from sweep 4 of a longitudinal survey. My sample size was 363.
I then used this latent construct of father involvement at sweep 4 as a predictor of child well-being at sweep 5 (child well-being was a four factor model which I had previously validated by conducting a CFA). I also include a range of control variables for child well-being. The sample size for the full model was 525. Is the sample size larger because only cases with data missing on X variables are removed? How are estimates calculated based on 525 cases when only 363 cases provided information for the measurement model?
I assume that you don't use factor score estimates from sweep 4 to compute the father involvement variable but rather use a CFA with all those indicators. The analysis excludes those with missing on X's and missing on all the Y's, so sweep 5 must have added subjects with at least one sweep 5 Y.