Recent research has demonstrated an intersectional approach to the study of differential item functioning (DIF). This approach expands DIF to account for the interactions between what have traditionally been treated as separate grouping variables. In this paper, we compare traditional and intersectional DIF analyses using data from a state testing…

With increased emphasis on accountability, the use of low-stakes test data to make high-stakes decisions about program effectiveness is on the rise. In order to make valid inferences about what students know and can do, it is crucial to understand the consequences of low and high stakes in testing contexts. As a result, with a sample comprised of…