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Using Procedure Based on Item Response Theory to Evaluate Classification Consistency Indices in the Practice of Large-Scale Assessment

机译:在大规模评估实践中使用基于项目响应理论的程序评估分类一致性指标

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摘要

In spite of the growing interest in the methods of evaluating the classification consistency (CC) indices, only few researches are available in the field of applying these methods in the practice of large-scale educational assessment. In addition, only few studies considered the influence of practical factors, for example, the examinee ability distribution, the cut score location and the score scale, on the performance of CC indices. Using the newly developed Lee's procedure based on the item response theory (IRT), the main purpose of this study is to investigate the performance of CC indices when practical factors are taken into consideration. A simulation study and an empirical study were conducted under comprehensive conditions. Results suggested that with negatively skewed distribution, the CC indices were larger than with other distributions. Interactions occurred among ability distribution, cut score location, and score scale. Consequently, Lee's IRT procedure is reliable to be used in the field of large-scale educational assessment, and when reporting the indices, it should be treated with caution as testing conditions may vary a lot.
机译:尽管对评估分类一致性(CC)指数的方法的兴趣日益浓厚,但在将这些方法应用于大规模教育评估的实践中,只有很少的研究可用。此外,只有极少的研究考虑了实际因素(例如,应试者能力分布,切分位置和分数规模)对CC指数表现的影响。使用基于项目响应理论(IRT)的新开发的Lee程序,本研究的主要目的是研究在考虑实际因素的情况下CC指标的性能。在综合条件下进行了模拟研究和实证研究。结果表明,在负偏斜分布下,CC指数大于其他分布。在能力分布,削减分数位置和分数范围之间发生了交互。因此,Lee的IRT程序可以可靠地用于大规模的教育评估领域,并且在报告指标时,应谨慎对待,因为测试条件可能会有很大差异。

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