Investigating the Performance of Propensity Score Approaches for Differential Item Functioning Analysis

Authors

Yan Liu, University of British ColumbiaFollow
Chanmin Kim, Boston UniversityFollow
Amrey D. Wu, University of British ColumbiaFollow
Paul Gustafson, University of British ColumbiaFollow
Edward Kroc, University of British ColumbiaFollow
Bruno D. Zumbo, University of British ColumbiaFollow

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.

DOI

10.22237/jmasm/1556669280

Recommended Citation

Liu, Y., Kim, C., Wu, A. D., Gustafson, P., Kroc, E., & Zumbo, B. D. (2019). Investigating the performance of propensity score approaches for differential item functioning analysis. Journal of Modern Applied Statistical Methods, 18(1), eP2744. doi: 10.22237/jmasm/1556669280