Missing data for a twolevel model PreviousNext
Mplus Discussion > Missing Data Modeling >
 Heather Prime posted on Wednesday, January 14, 2015 - 8:28 am
I am running a multilevel model (children nested within families) and have missing data (<10%) on predictors, covariates and the outcome variable. I have see in past threads (2008) that use of auxiliary variables in FIML is not possible using the twolevel command. Has this changed?
If not, is the best alternative multiple imputation?
 Bengt O. Muthen posted on Wednesday, January 14, 2015 - 10:46 am
No change.

Multiple imputation can be used, or ML where predictors/covariates are brought into the model by mentioning their means (or variances).
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