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Abstract：
Test equating is a statistical procedure to make scores from different test forms comparable and interchangeable. Focusing on an IRT approach, this paper proposes a novel method that simultaneously links the item parameter estimates of a large number of test forms. Our proposal differentiates itself from the current state of the art by using likelihood-based methods and by taking into account the heteroskedasticity and the correlation of the item parameter estimates of each form. Simulation studies show that our proposal yields equating coefficient estimates which are more efficient than what is currently available in the literature.
摘要：
测试等同是一种统计程序，用于使来自不同测试形式的分数具有可比性和可互换性。专注于IRT方法，本文提出了一种新的方法，同时链接了大量测试形式的项目参数估计。我们的建议通过使用基于似然的方法并考虑到异方差和每种形式的项目参数估计的相关性来区分自己与当前的技术水平。模拟研究表明，我们的建议得出的相等系数估计比文献中当前可用的效率更高。
