Missing Nonnormal Data PreviousNext
Mplus Discussion > Confirmatory Factor Analysis >
 Laura Johnson posted on Wednesday, February 15, 2017 - 4:33 pm

I have a longitudinal dataset with missing data - it is also non-normal. For my LGCM I was going to use MI, but first I need to run CFAs on my scales. Being that the data is non-normal I am interested in using the MLM estimator. Since MLM doesn't work with imputed data, do you have any suggestions as to the best way to address the missingness? Are you familiar with anyone using just one of the imputed datasets to get around this?

Thanks in advance for any assistance you can provide!
 Linda K. Muthen posted on Wednesday, February 15, 2017 - 5:43 pm
MLR is another estimator that is robust to non-normality. You should not use just one imputed data set. They should be used together.
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