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

Yan Liu, Chanmin Kim, Amery Wu, P. Gustafson, Edward Kroc, B. Zumbo
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引用次数: 3

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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差异项目功能分析中倾向得分方法的性能研究
为了评估差异项目功能分析的倾向评分方法的性能,进行了这项模拟研究,以评估在不同水平的效应大小和各种模型错误指定条件下的偏差、均方误差、I型误差和功率,包括不同类型和缺失模式的协变量。
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期刊介绍: The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.
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