Estimator for logit reg with missing ... PreviousNext
Mplus Discussion > Categorical Data Modeling >
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 Qi posted on Friday, July 01, 2011 - 4:46 pm
Dear Dr. Muthen,

I am conducting a logistic regression with missing data on predictor. In example 3.5, the ESTIMATOR=ML specificaiton is given to run a logistic regression. I specified the variance of the predictor in the model command so Mplus can impute data for IV. I noticed that "WLSMV" was the default estimator and I was able to get results for the whole sample. However when I specified other estimators such as ML or MLR, I got the following message:

*** FATAL ERROR
THIS MODEL CAN BE DONE ONLY WITH MONTECARLO INTEGRATION.

Does it mean I can only use WLSMV when imputing for missing IV? Is the WLSMV result trustable logistic regression output?

Thanks!
Qi
 Qi posted on Friday, July 01, 2011 - 5:00 pm
btw, my DV has no missing data and is categorical, and the IV has missing data and continuous/categorical
 Linda K. Muthen posted on Friday, July 01, 2011 - 8:24 pm
This means you need to add INTEGRATION=MONTECARLO; to the ANALYSIS command when you use maximum likelihood.

WLSMV is probit regression not logistic regression.
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