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Applying Mokken Scaling Techniques to Incomplete Rating Designs for Educational Performance Assessments

机译：将Mokken缩放技术应用于教育绩效评估的不完整评级设计

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摘要

A major challenge in the widespread application of Mokken scale analysis (MSA) to educational performance assessments is the requirement of complete data, where every rater rates every student. In this study, simulated and real data are used to demonstrate a method by which researchers and practitioners can apply MSA to incomplete rating designs. The results suggested that when rating data are collected such that each rater rates test-takers in common with at least two other raters, it is possible to use MSA techniques to evaluate rating quality in rater-mediated assessments with incomplete ratings. These results imply that it is possible to evaluate fundamental measurement properties in rater-mediated assessments using a nonparametric approach. Such analyses are important for evaluating the validity, reliability, and fairness of rater-mediated assessments.
机译：Mokken规范分析（MSA）对教育绩效评估的广泛应用中的一项重大挑战是每个学生的每个赌注率的完整数据的要求。在本研究中，模拟和实际数据用于展示研究人员和从业者可以将MSA应用于不完整的评级设计的方法。结果表明，当收集评级数据，使得每次评估率与至少两个其他评分者共同的试验机，可以使用MSA技术评估评估评估评估中的评级质量，具有不完全的评级。这些结果意味着可以使用非参数方法评估评估评估评估中的基本测量性能。这种分析对于评估评估评估评估的有效性，可靠性和公平性很重要。

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