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Simple-Structure Multidimensional Item Response Theory Equating for Multidimensional Tests

机译:多维试验等方面的简单结构多维项目响应理论

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摘要

A theoretical and conceptual framework for true-score equating using a simple-structure multidimensional item response theory (SS-MIRT) model is developed. A true-score equating method, referred to as the SS-MIRT true-score equating (SMT) procedure, also is developed. SS-MIRT has several advantages over other complex multidimensional item response theory models including improved efficiency in estimation and straightforward interpretability. The performance of the SMT procedure was examined and evaluated through four studies using different data types. In these studies, results from the SMT procedure were compared with results from four other equating methods to assess the relative benefits of SMT compared with the other procedures. In general, SMT showed more accurate equating results compared with the traditional unidimensional IRT (UIRT) equating when the data were multidimensional. More accurate performance of SMT over UIRT true-score equating was consistently observed across the studies, which supports the benefits of a multidimensional approach in equating for multidimensional data. Also, SMT performed similarly to a SS-MIRT observed score method across all studies.
机译:使用简单结构的多维项目响应理论(SS-MIRT)模型开发了真正分数等式的理论和概念框架。还开发了一种真正的等式方法,也称为SS-MIRT真实得分等式(SMT)过程。 SS-MIRT在其他复杂的多维物品响应理论模型中具有几个优点,包括提高估计效率和直接的解释性。通过使用不同数据类型的四项研究检查和评估SMT程序的性能。在这些研究中,将SMT程序的结果与来自四种其他等式方法的结果进行比较,以评估SMT的相对益处与其他程序相比。通常,与传统的单维IRT(UIRT)相比,SMT与传统的单维IRT(UIRT)相比表现出更准确的等式结果。在研究中,在研究中始终如一地区观察到SMT的更准确的SMT性能,这在研究中一直观察到多维方法等同于多维数据的益处。此外,SMT与在所有研究中观察到的SS-MIRT观察到的分数方法进行了类似地进行。

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