论文标题
差分项目通过可靠的缩放功能
Differential item functioning via robust scaling
论文作者
论文摘要
本文提出了一种评估项目响应理论（IRT）模型中差异项目功能（DIF）的方法。该方法不需要预先指定锚点项目，这是其主要优点。它是在两个主要步骤中开发的，首先是通过显示如何将DIF作为基于IRT的缩放率中离群检测的问题进行重新形成，然后使用可靠统计的方法来解决后者。该提案是IRT缩放参数的重新排列的M估计器，该M-估计参数被调整为在所需的I型I级错误率下使用DIF的标记项目。理论结果描述了在没有DIF的情况下不存在DIF的情况下估计量的效率。仿真研究表明，该提出的方法与当前可用的DIF检测方法有利相比，一个真实的数据示例说明了其在锚固项目预先指定的研究环境中的应用。本文的重点是两个独立群体中的两参数逻辑模型，并在结论中考虑了其他设置。
This paper proposes a method for assessing differential item functioning (DIF) in item response theory (IRT) models. The method does not require pre-specification of anchor items, which is its main virtue. It is developed in two main steps, first by showing how DIF can be re-formulated as a problem of outlier detection in IRT-based scaling, then tackling the latter using methods from robust statistics. The proposal is a redescending M-estimator of IRT scaling parameters that is tuned to flag items with DIF at the desired asymptotic Type I Error rate. Theoretical results describe the efficiency of the estimator in the absence of DIF and its robustness in the presence of DIF. Simulation studies show that the proposed method compares favorably to currently available approaches for DIF detection, and a real data example illustrates its application in a research context where pre-specification of anchor items is infeasible. The focus of the paper is the two-parameter logistic model in two independent groups, with extensions to other settings considered in the conclusion.
