A comparison of linear and equipercentile equating and IRT equating with FIPC across multidimensional test forms for non-equivalent groups

Ki Cole, S. Kim, M. Mwavita
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Abstract

The aim of this study was to compare linear equating (Levine and Tucker), equipercentile equating, and true and observed score IRT equating with fixed item parameter calibration methods when applied to non-equivalent groups taking forms which have various multidimensional structures: equal or unequal total test difficulty and similar or dissimilar difficulty within dimensions across forms. This situation may be common for large-scale test forms that are composed of multiple sub-content areas and are being administered to examinees of mixed abilities at different times. Within the specifications of this study, when forms differ in total difficulty but the difference in difficulty within dimensions is consistent across forms, the linear methods may be preferred. When forms differ in average item difficulty within dimensions, regardless of equal or unequal total test difficulty, the IRT method with fixed item parameter calibration is favoured when data are correlated.
线性和等百分位相等和IRT相等与FIPC跨多维测试形式对非等效组的比较
本研究的目的是比较线性方程(Levine和Tucker)、等百分位方程、真实分数和观察分数IRT方程与固定项目参数校准方法在应用于具有不同多维结构形式的非等效组时的比较:不同形式的总测试难度相等或不等,不同维度的难度相似或不同。这种情况可能在由多个子内容区域组成的大型考试形式中很常见,并且在不同时间对混合能力的考生进行管理。在本研究的规范范围内,当不同形式的总难度不同,但不同形式在维度上的难度差异一致时,可以优先使用线性方法。当表格在维度内的平均题难度不同时,无论总题难度相等或不相等,当数据相关时,采用固定题参数校准的IRT方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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