Detecting differential item functioning with five standardized item-fit indices in the Rasch model.

Journal of outcome measurement Pub Date : 1999-01-01
H Seol
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引用次数: 0

Abstract

This study examined five Rasch-model-based item-fit indices: unweighted and weighted standardized indices (denoted UWz and Wz), standardized likelihood index (denoted Lz), and Extended Caution Indices (denoted ECI2z and ECI4z), in terms of their distributional properties and the power of detecting item bias or Differential Item Functioning (DIF). The results indicated that although these five standardized item-fit indices did not depart significantly from a normal distribution, it appeared that the Type I error rates were not reasonable. For the power of five standardized item-fit indices to detect DIF, the results showed that all indices did perform poorly across various conditions. These findings lead to the conclusion that all indices used in this study are inadequate fit measures for detecting DIF.

利用Rasch模型中的五个标准化项目拟合指标检测差异项目功能。
本研究检验了五个基于rasch模型的项目拟合指数:未加权和加权标准化指数(分别表示UWz和Wz),标准化似然指数(分别表示Lz)和扩展谨慎指数(分别表示ECI2z和ECI4z),根据它们的分布特性和检测项目偏差或差异项目功能(DIF)的能力。结果表明,虽然这5个标准化项目拟合指标没有明显偏离正态分布,但I型错误率似乎不合理。对于五个标准化项目拟合指标检测DIF的能力,结果表明,所有指标在各种条件下都表现不佳。这些发现导致本研究中使用的所有指标都不适合检测DIF。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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