Graduate Statistics Seminar
Ken Fujimoto
UIC
Introduction to Item Response Theory and Differential Item Functioning II
Abstract: Item response theory (IRT) models are useful measurement tools to examine whether an item's difficulty level is the same across subgroups of examinees (e.g., gender and race). This concept has to do with whether an item is "fair" for all subgroups of examinees. I will discuss how to test whether an item is "fair," or whether it displays differential item functioning (DIF) across subgroups of examinees when the subgroup membership is known. I will then discuss extensions to the traditional IRT model that allows for the detection of whether an item displays DIF across latent subgroups of examinees. These IRT extensions incorporate finite-mixture and infinite-mixture modeling.
Tuesday April 15, 2014 at 3:30 PM in SEO 636