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A Propensity Score Method for Investigating Differential Item Functioning in Performance Assessment

机译:一种在性能评估中调查差分项目的倾向分数方法

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摘要

This study introduces a novel differential item functioning (DIF) method based on propensity score matching that tackles two challenges in analyzing performance assessment data, that is, continuous task scores and lack of a reliable internal variable as a proxy for ability or aptitude. The proposed DIF method consists of two main stages. First, propensity score matching is used to eliminate preexisting group differences before the test, ideally creating equivalent groups as in a randomized experimental study. Then, linear mixed effects models are adopted to perform DIF analysis based on the matched data set. We demonstrate this propensity DIF method using a high-stakes functional English language proficiency test. DIF due to education was investigated in the writing component, which consists of two continuously scored performance-based tasks. Although the proposed method is demonstrated in the context of language testing, it can be applied to other types of performance assessments.
机译:本研究介绍了一种基于倾向分数匹配的新型差分项目功能(DIF)方法,该方法在分析性能评估数据分析中进行两个挑战,即连续任务分数,缺少可靠的内部变量作为能力或能力的代理。 所提出的DIF方法包括两个主要阶段。 首先,倾向得分匹配用于消除测试前的预先存在的组差异,理想地创建与随机实验研究中的等效组。 然后,采用线性混合效果模型基于匹配的数据集进行DIF分析。 我们展示了使用高赌注功能英语语言能力测试的这种倾向的DIF方法。 在写作组件中调查了教育造成的困难,其中包括两个不断划分的基于性能的任务。 虽然在语言测试的背景下展示了所提出的方法,但它可以应用于其他类型的性能评估。

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