Using Posterior Predictive Checking of Item Response Theory Models to Study Invariance Violations
Description:
The common practice for testing measurement invariance is to constrain parameters to be equal over groups, and then evaluate the model-data fit to reject or fail to reject the restrictive model. Posterior predictive checking (PPC) provides an alternative approach to evaluating model-data discrepancy. This paper explores the utility of PPC in estimating measurement invariance. The simulation results show that the posterior predictive p (PP p) values of item parameter estimates respond to various…
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Date:
May 2017
Creator:
Xin, Xin
Partner:
UNT Libraries