Extreme values in LCA results PreviousNext
Mplus Discussion > Categorical Data Modeling >
Message/Author
 Jonathan Brown posted on Monday, October 03, 2005 - 11:24 am
The output of a mixture model states:

IN THE OPTIMIZATION, ONE OR MORE LOGIT THRESHOLDS APPROACHED AND WERE SET
AT THE EXTREME VALUES.


I used random starting values (not specified by the user) and also increased the MITERATIONS, but still receive the above message. I get the message when fitting a 3 or 4 class model but not a 2 class.

1) Is there anything I can do to avoid the extreme value?

2) If I get extreme values does that invalidate the mixture model results?

Thanks
 Linda K. Muthen posted on Saturday, October 08, 2005 - 10:56 am
This message is not a problem. It is telling you that for some clssses a latent class indicator has a probability of zero or one. This can be helpful is defining a class.
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