Modeling and Testing Differential Item Functioning in Unidimensional Binary Item Response Models with a Single Continuous Covariate: A Functional Data Analysis Approach.

Abstract

Differential item functioning (DIF), referring to between-group variation in item characteristics above and beyond the group-level disparity in the latent variable of interest, has long been regarded as an important item-level diagnostic. The presence of DIF impairs the fit of the single-group item response model being used, and calls for either model… (More)
DOI: 10.1007/s11336-015-9473-x

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Cite this paper

@article{Liu2016ModelingAT, title={Modeling and Testing Differential Item Functioning in Unidimensional Binary Item Response Models with a Single Continuous Covariate: A Functional Data Analysis Approach.}, author={Yang Liu and Brooke E Magnus and David M. Thissen}, journal={Psychometrika}, year={2016}, volume={81 2}, pages={371-98} }