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Multiple-Group Noncompensatory Differential Item Functioning in Raju's Differential Functioning of Items and Tests

机译:Raju项和检验的差分函数中的多组非补偿性差分项函数

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摘要

Raju, van der Linden, and Fleer (1995) introduced a framework for differential functioning of items and tests (DFIT) for unidimensional dichotomous models. Since then, DFIT has been shown to be a quite versatile framework as it can handle polytomous as well as multidimensional models both at the item and test levels. However, DFIT is still limited by the two-group comparison (reference vs. focal group). In real testing situations, it is quite common that a practitioner or researcher may want to compare more than two groups simultaneously. Ethnicity, for example, may have three or more categories. This current study extends the two-group noncompensatory differential item functioning index (NCDIF) in DFIT to multiple-group NCDIF. The significance test developed for the two-group NCDIF and effect size were utilized in the multiple-group cases. The effectiveness of this new approach is demonstrated in a simulation study where various degrees and types of DIF are embedded.
机译:Raju,van der Linden和Fleer(1995)为一维二分模型引入了项和测试的差分功能框架(DFIT)。从那时起,DFIT被证明是一个非常通用的框架,因为它可以在项目和测试级别上处理多模型以及多维模型。但是,DFIT仍然受到两组比较(参考组与焦点组)的限制。在实际测试情况下,从业人员或研究人员可能希望同时比较两个以上的组,这是很常见的。例如,种族可能具有三个或更多类别。这项当前的研究将DFIT中的两组非补偿性差异项功能指数(NCDIF)扩展为多组NCDIF。在多组病例中采用针对两组NCDIF进行的显着性检验和效应量。在模拟研究中证明了这种新方法的有效性,其中嵌入了各种程度和类型的DIF。

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