Investigating the Performance of Propensity Score Approaches for Differential Item Functioning Analysis
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May 1, 2019
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Yan Liu
University of British Columbia, Vancouver, BC, Canada
Chanmin Kim
Boston University, Boston
Amrey D. Wu
University of British Columbia, Vancouver, BC, Canada
Paul Gustafson
University of British Columbia, Vancouver, BC, Canada
Edward Kroc
University of British Columbia, Vancouver, BC, Canada
Abstract
To evaluate the performance of propensity score approaches for differential item functioning analysis, this simulation study was conducted to assess bias, mean square error, Type I error, and power under different levels of effect size and a variety of model misspecification conditions, including different types and missing patterns of covariates.
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