My original intent was to employ logistic regression as a method for
detecting differential item functioning (DIF); which refers to differences
in probability of item endorsement between groups when controlling for the
overall measure of which the item is part. The standard approach is to
perform separate analyses for each group and compare group-specific betas.
In my case, I wanted to do this but with the interaction of two or more
factors (e.g., gender by race). I can certainly see now that this is a more
complex problem than the DIF literature would suggest!
Barth
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