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Mplus Discussion > Growth Modeling of Longitudinal Data >
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 Anonymous posted on Thursday, December 01, 2005 - 7:30 pm
I'm performing ggmm. When I performed my missing data analysis, I noticed that I had 30 percent missing data on some cases. This reduces my usable data to about 700 cases. How badly will this harm my results? Also, Allison (2004) wrote a paper about FIMLs as a method to alleviate problems with missing data in SEMs. Would this be a viable method for my ggmm runs with these missing data? Thank you in advance
 Linda K. Muthen posted on Thursday, December 01, 2005 - 8:05 pm
Yes. Use TYPE=MISSING MIXTURE;
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