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Using Weighted Sum Scores to Close the Gap Between DIF Practice and Theory
Journal of Educational Measurement ( IF 1.188 ) Pub Date : 2019-10-22 , DOI: 10.1111/jedm.12258
Hongwen Guo 1 , Neil J. Dorans 1
Affiliation  

We make a distinction between the operational practice of using an observed score to assess differential item functioning (DIF) and the concept of departure from measurement invariance (DMI) that conditions on a latent variable. DMI and DIF indices of effect sizes, based on the Mantel‐Haenszel test of common odds ratio, converge under restricted conditions if a simple sum score is used as the matching or conditioning variable in a DIF analysis. Based on theoretical results, we demonstrate analytically that matching on a weighted sum score can significantly reduce the difference between DIF and DMI measures over what can be achieved with a simple sum score. We also examine the utility of binning methods that could facilitate potential operational use of DIF with weighted sum scores. A real data application was included to show this feasibility.

中文翻译:

使用加权总和分数弥合DIF实践与理论之间的鸿沟

我们在使用观察分数评估差异项功能(DIF)的操作实践与以潜在变量为条件的偏离测量不变性(DMI)的概念之间进行了区分。如果在DIF分析中使用简单的总和得分作为匹配变量或条件变量,则基于Mantel-Haenszel常见比值比的检验,效应大小的DMI和DIF指数会在受限条件下收敛。基于理论结果,我们通过分析证明,与简单的总和得分相比,加权总和得分的匹配可以显着减少DIF和DMI度量之间的差异。我们还研究了分箱方法的实用性,该方法可以促进具有加权总和得分的DIF的潜在使用。包括一个真实的数据应用程序来证明这种可行性。
更新日期:2019-10-22
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