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Mplus Discussion > Missing Data Modeling >
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 Daniel Rodriguez posted on Thursday, April 05, 2007 - 6:02 am
Good morning. I ran a LGM analysis with type=missing and estimation used ML. However, the model sample size seemed to include all of the covariates in addition to the six repeated measures. I wrote Linda on this list and she (you) suggested I use type=missing random to use all available data on the y variable. This worked, however I noticed that the estimator is MLR. What is the reason for this?
 Linda K. Muthen posted on Thursday, April 05, 2007 - 8:08 am
This is the default estimator for RANDOM.
 Daniel Rodriguez posted on Thursday, April 05, 2007 - 8:53 am
I ran the model with ML estimation and the results were slightly different (i.e., one effect that was significant at p=.05 is now significant at (p<.05). Is this problematic? Can I simply use ML instead of MLR to stay consistent?
 Linda K. Muthen posted on Thursday, April 05, 2007 - 9:22 am
I would use MLR throughout.
 Daniel Rodriguez posted on Thursday, April 05, 2007 - 9:28 am
Thanks,
DR
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