Starting values in LGMM PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
 Anthony Mancini posted on Tuesday, September 02, 2008 - 3:18 pm
In a 4-class LGMM using a continuous outcome, I am trying to designate a specific class as the referent, so that covariates predict that class in relation to each of the others.

However, when I use starting values (mean values for the intercept and slope derived from a previous run), the appropriate class is never the 4th class (the referent). I have tried using starting values for all of the classes and for the 4th class alone.

In my searches of the discussion board, I have not been able to determine what I am doing wrong. How are starting values determined in this context? Any help is appreciated.
 Bengt O. Muthen posted on Tuesday, September 02, 2008 - 3:34 pm
The latest version of Mplus should give the covariate effects under all possible referent classes.

Otherwise, you can also give starting values for the class probabilites in logit scale - which might be needed if classes are of unequal size.
 Anthony Mancini posted on Wednesday, September 03, 2008 - 2:23 pm
Okay...I will try using starting values in logit scale. (Or I'll get computing to install the latest version.) Thanks as usual!
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