ML Integration with Mixtures PreviousNext
Mplus Discussion > Categorical Data Modeling >
 Guillaume Filteau posted on Saturday, April 25, 2009 - 2:26 pm

According to pages 482-483 of the manual, ML estimation with ordinal dependent variables requires Algorithm=Integration for Type=General, but does not require it for Type=Mixture.

1. Why is that?
2. Is it ok to use Type=Mixture with a single class, to fit models with ordinal dependent variables without using integration?
 Linda K. Muthen posted on Monday, April 27, 2009 - 4:10 pm
There is a special path in mixture where random effects of continuous latent variables are not estimated and therefore numerical integration is not required. If a model requires numerical integration, it will require it using GENERAL or MIXTURE.
Back to top
Add Your Message Here
Username: Posting Information:
This is a private posting area. Only registered users and moderators may post messages here.
Options: Enable HTML code in message
Automatically activate URLs in message