A robust outlier approach to prevent Type I error inflation in Differential Item Functioning KU Leuven
The identification of differential item functioning (DIF) is often performed by means of statistical approaches that consider the raw scores as proxies for the ability trait level. One of the most popular approaches, the Mantel–Haenszel (MH) method, be- longs to this category. However, replacing the ability level by the simple raw score is a source of potential Type I error inflation, not only in the presence of DIF but also when DIF is absent ...