Chun Seokjoon, Stark Stephen, Kim Eun Sook, Chernyshenko Oleksandr S
University of South Florida, Tampa, USA.
Nanyang Technological University, Singapore.
Appl Psychol Meas. 2016 Oct;40(7):486-499. doi: 10.1177/0146621616659738. Epub 2016 Jul 28.
A simulation study was conducted to investigate the efficacy of multiple indicators multiple causes (MIMIC) methods for multi-group uniform and non-uniform differential item functioning (DIF) detection. DIF was simulated to originate from one or more sources involving combinations of two background variables, and . Three implementations of MIMIC DIF methods were compared: constrained baseline, free baseline, and a new sequential-free baseline. When the MIMIC assumption of equal factor variance across comparison groups was satisfied, the sequential-free baseline method provided excellent Type I error and power, with results similar to an idealized free baseline method that used a designated DIF-free anchor, and results much better than a constrained baseline method, which used all items other than the studied item as an anchor. However, when the equal factor variance assumption was violated, all methods showed inflated Type I error. Finally, despite the efficacy of the two free baseline methods for detecting DIF, identifying the source(s) of DIF was problematic, especially when background variables interacted.
进行了一项模拟研究，以调查多指标多原因（MIMIC）方法在多组均匀和非均匀差异项目功能（DIF）检测中的有效性。DIF被模拟为由涉及两个背景变量 和 的组合的一个或多个来源产生。比较了MIMIC DIF方法的三种实现方式：约束基线、自由基线和一种新的无序列自由基线。当跨比较组的等因素方差的MIMIC假设得到满足时，无序列自由基线方法提供了出色的I型错误率和检验效能，其结果类似于使用指定的无DIF锚点的理想化自由基线方法，并且结果比使用除研究项目之外的所有项目作为锚点的约束基线方法要好得多。然而，当等因素方差假设被违反时，所有方法都显示出膨胀的I型错误率。最后，尽管两种自由基线方法在检测DIF方面有效，但识别DIF的来源存在问题，尤其是当背景变量相互作用时。
