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A Comparative Evaluation of Kernel Equating and Test Characteristic Curve Equating

机译：内核等式和测试特征曲线等方面的比较评价

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摘要

This study compares the kernel equating (KE) and test characteristic curve (TCC) equating methods using the nonequivalent anchor test equating design. In this Monte Carlo study, four independent variables were examined: sample size, test length, average form discrimination, anchor test reliability, and the percentage of anchor items. For each condition, there were 100 replications. To assess the performance of TCC equating and KE, the differences between the examinee parametric true scores and the equated estimated expected true scores were examined. The equated scores were based on the average across replications for each condition. Generally speaking, both KE and TCC equating produced accurate results, although KE tended to perform better than TCC on the parametric true score scale across conditions. Past research and the current study's results seem to indicate that KE should be strongly considered for most equating situations, particularly in light of its flexibility.
机译：本研究将内核等式（KE）和测试特性曲线（TCC）等式使用非等价锚定测试等式设计进行比较。 在这项蒙特卡罗研究中，检查了四个独立变量：样本大小，测试长度，平均形式的歧视，锚固测试可靠性和锚固物品的百分比。 对于每种情况，有100个复制。 为了评估TCC等式和KE的性能，检查了考生参数真实分数与等同的预期真实分数之间的差异。 等式得分基于每个条件的复制的平均值。 一般而言，KE和TCC等于产生准确的结果，尽管KE趋于在跨条件下的参数真实得分比分数比TCC更好。 过去的研究和目前的研究结果似乎表明柯应强烈地考虑大多数等式情况，特别是鉴于其灵活性。

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