Selecting Anchor Items in Differential Item Functioning: A Case Study
Common analyses of Differential Item Functioning (DIF) rely on a number of a priori assumptions about the data of interest. In a paper by Anna Doebler (2018) a new method of DIF detection was proposed which relies on fewer assumptions than the current popular methods. A case study of this method was done using data from the First International Mathematics Study (FIMS). This method was able to provide a more nuanced picture of DIF within the data without requiring assumptions to resolve the identification issue present in common models of DIF.
Lorenzi, Daniel Michael, "Selecting Anchor Items in Differential Item Functioning: A Case Study" (2020). ETD Collection for Fordham University. AAI28028832.