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Detecting differential item functioning using generalized logistic regression in the context of large-scale assessments
Large-scale Assessments in Education
When studying student performance across different countries or cultures, an important aspect for comparisons is that of score comparability. In other words, it is imperative that the latent variable (i.e., construct of interest) is understood and measured equivalently across all participating groups or countries, if our inferences regarding performance can be regarded as valid. Relatively fewer studies examined an item-level approach to measurement equivalence, particularly in settings where adoi:10.1186/s40536-014-0004-5 fatcat:fdjt2fnirbcezdupr2wd4wfa7e