GMM with type=complex PreviousNext
Mplus Discussion > Growth Modeling of Longitudinal Data >
 Gareth posted on Wednesday, August 04, 2010 - 12:15 am
I have a growth mixture model with complex survey data, which means I cannot get the BLRT test with TECH14. The BIC values are not helpful in choosing the number of latent classes, because I don't see the expected fall and then rise across different numbers of classes.

Are there any other suggestions (other than using prior knowledge and theory), such as running without the type=complex to get the BLRT test first, and then switching to type=complex afterwards?
 Linda K. Muthen posted on Wednesday, August 04, 2010 - 9:43 am
BIC usually works pretty well. Perhaps the issue is that the model is not correct for the data. I would not select the number of classes without TYPE=COMPLEX as you would be making the decision treating the data as though they are independent when they are not.
 Simone Schmidt posted on Wednesday, May 18, 2011 - 1:45 am
Hi Linda,
I actually read the paper by Nylund et al. (2007): Subtypes, Severity, and Structural Stability of Peer Victimization. They recommend usind the BLRT (instead of the LMR) in deciding on number of classes in nested data. But how can I obtain the BLRT when using type= mixture complex? Thanks a lot!
 Linda K. Muthen posted on Wednesday, May 18, 2011 - 6:48 am
If you can't get BLRT, I would use BIC.
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