Len Simms posted on Wednesday, September 07, 2011 - 8:02 pm
I would like to test DIF across two groups using the bifactor model. in particular, I need the ability to test for differences in both loadings and difficulties across the two groups along the general factor. How can this be done with mplus?
Also, when mplus does DIF, how does it deal with groups that have different mean levels on the underlying general factor? In a typical IRT analysis, some adjustments are needed on the betas if there is a mean theta difference across groups. How is this done in mplus?
You give labels to the parameters of the loadings and thresholds that you are interested in, and make those labels the same vs different in the groups you want to analyze. 2 times the loglikelihood difference for the two models gives the chi-square test of DIF if you use ML. With WLSMV you use DIFFTEST.
The different groups have different factor means and variances as the default. No adjustements are needed.
Len Simms posted on Thursday, September 08, 2011 - 3:07 am