Chi-square difference testing PreviousNext
Mplus Discussion > Growth Modeling of Longitudinal Data >
 Drake Steed posted on Monday, April 21, 2014 - 12:26 pm

I have a question. I am trying to compute a chi-square difference test, comparing the loglikelihood chi-square values of algebraically constrained versus nonconstrained estimations. My understanding is that upon algebraically constraining one of the variables in the analysis, the degrees of freedom changes as compared with the nonconstrained analysis. However, in my case, the degrees of freedom are the same for both the constrained and unconstrained loglikelihood chi-squares. I tried the analysis using ML as well as MLR. Is this an aberrant finding or should I understand this outcome as typical? Thank you!

 Linda K. Muthen posted on Monday, April 21, 2014 - 3:29 pm
The parameter must be constrained as the default and therefore you should relax the constraint. If you can't see this, send the outputs and your license number to
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