Differential item functioning (DIF) occurs when individuals from different groups with the same level of ability have different probabilities of answering an item correctly. In this paper, we develop a Bayesian approach to detect DIF based on the credible intervals within the framework of item response theory models. Our method performed well for both uniform and non-uniform DIF conditions in the two-parameter logistic model. The efficacy of the proposed approach is demonstrated through simulation studies and a real data application.
CITATION STYLE
Su, Y. H., Chang, J., & Tsai, H. (2018). Using credible intervals to detect differential item functioning in IRT models. In Springer Proceedings in Mathematics and Statistics (Vol. 233, pp. 297–304). Springer New York LLC. https://doi.org/10.1007/978-3-319-77249-3_25
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