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The DIF-Free-Then-DIF Strategy for the Assessment of Differential Item Functioning

机译：差分项目功能评估的无DIF-然后​​-DIF策略

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摘要

The DIF-free-then-DIF (DFTD) strategy consists of two steps: (a) select a set of items that are the most likely to be DIF-free and (b) assess the other items for DIF (differential item functioning) using the designated items as anchors. The rank-based method together with the computer software IRTLRDIF can select a set of DIF-free polytomous items very accurately, but it loses accuracy when tests contain many DIF items. To resolve this problem, the authors developed a new method by adding a scale purification procedure to the rank-based method and conducted two simulation studies to evaluate its performances on DIF assessment. It was found that the new method outperformed the rank-based method in identifying DIF-free items, especially when the tests contained many DIF items. In addition, the new method, combined with the DFTD strategy, yielded a well-controlled Type I error rate and a high power rate of DIF detection. In contrast, conventional DIF assessment methods yielded an inflated Type I error rate and a deflated power rate when the tests contained many DIF items favoring the same group. In conclusion, the simulation results support the new method and the DFTD strategy in DIF assessment.
机译：免DIF再DIF（DFTD）策略包括两个步骤：（a）选择最有可能免DIF的一组物品;（b）评估DIF的其他物品（差异物品功能）使用指定项目作为锚点。基于等级的方法与计算机软件IRTLRDIF可以非常准确地选择一组无DIF的多义词项目，但是当测试包含许多DIF项时，它将失去准确性。为了解决这个问题，作者开发了一种新方法，在基于等级的方法中增加了规模净化程序，并进行了两个模拟研究以评估其在DIF评估中的性能。发现新方法在识别不含DIF的项目方面胜过了基于等级的方法，特别是当测试包含许多DIF项目时。此外，新方法与DFTD策略相结合，可以很好地控制I型错误率和DIF检测的高功率率。相反，当测试包含许多有利于同一组的DIF项目时，常规DIF评估方法会产生虚高的I型错误率和放气的功率率。总之，仿真结果为DIF评估中的新方法和DFTD策略提供了支持。

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