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Differential item functioning detection and effect size: A comparison between logistic regression and Mantel-Haenszel procedures

机译:差异项功能检测和效应大小:逻辑回归与Mantel-Haenszel程序之间的比较

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摘要

This article compares several procedures in their efficacy for detecting differential item functioning (DIF): logistic regression analysis, the Mantel-Haenszel (MH) procedure, and the modified Mantel-Haenszel procedure by Mazor, Clauser, and Hambleton. It also compares the effect size measures that these procedures provide. In this study, different conditions of item parameters (difficulty and discrimination) and DIF magnitude were manipulated. Furthermore, both uniform and nonuniform DIF conditions were simulated. Results suggest that logistic regression analysis generally detected more items with DIF than the standard MH procedure and the modified MH procedure for symmetrical nonuniform DIF. The DIF effect size measures based on logistic regression, however, appeared to be insensitive to the specified DIF conditions.
机译:本文比较了几种程序在检测差异项功能(DIF)方面的功效:逻辑回归分析,Mantel-Haenszel(MH)程序以及Mazor,Clauser和Hambleton修改后的Mantel-Haenszel程序。它还比较了这些程序提供的效果大小度量。在这项研究中,操纵了不同的项目参数条件(难度和区分度)和DIF大小。此外,模拟了均匀和非均匀DIF条件。结果表明,与对称MH不均匀DIF的标准MH方法和改良MH方法相比,逻辑回归分析通常检测到的DIF项目更多。但是,基于逻辑回归的DIF效应大小度量似乎对指定的DIF条件不敏感。

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