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The Effects of Referent Item Parameters on Differential Item Functioning Detection Using the Free Baseline Likelihood Ratio Test

机译:使用自由基准似然比检验的参考项参数对差分项功能检测的影响

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摘要

The purpose of this simulation study is to investigate the effects of anchor subtest composition on the accuracy of item response theory (IRT) likelihood ratio (LR) differential item functioning (DIF) detection (Thissen, Steinberg, & Wainer, 1988). Here, the IRT LR test was implemented with a free baseline approach wherein a baseline model was formed by freeing all items except a referent or anchor subset and examining the changes in fit with respect to a series of models wherein 1 item at a time was constrained in addition to the referent(s). The results clearly indicated that the composition of the anchor subtest is important for accurate DIF detection. It was found that using a single highly discriminating rather than a low discriminating referent greatly enhanced the power of the procedure. Moreover, in conditions involving small DIF or smaller sample sizes or both, power appeared to improve when a group of highly discriminating referents was used. These findings have implications for applied research involving short scales and small sample sizes.
机译:本模拟研究的目的是调查锚点子测试成分对项目响应理论(IRT)似然比(LR)差异项目功能(DIF)检测的准确性的影响(Thissen,Steinberg,&Wainer,1988)。在此,IRT LR测试是通过免费的基线方法实施的,其中通过释放除参照对象或锚点子集之外的所有项目并检查相对于其中一次限制一个项目的一系列模型的拟合度变化来形成基线模型除了参考对象。结果清楚地表明,锚点子测试的组成对于准确的DIF检测很重要。已经发现,使用单一的高区分性参考对象而不是低区分性的对象大大增强了该过程的功能。此外,在涉及小的DIF或较小的样本大小或两者兼有的条件下,当使用一组高度区分的参考对象时,功效似乎会提高。这些发现对涉及小规模和小样本量的应用研究具有影响。

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