Classification Accuracy and Consistency of Compensatory Composite Test Scores

IF 1.4 4区 心理学 Q3 PSYCHOLOGY, APPLIED
J. Carl Setzer, Ying Cheng, Cheng Liu
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引用次数: 0

Abstract

Test scores are often used to make decisions about examinees, such as in licensure and certification testing, as well as in many educational contexts. In some cases, these decisions are based upon compensatory scores, such as those from multiple sections or components of an exam. Classification accuracy and classification consistency are two psychometric characteristics of test scores that are often reported when decisions are based on those scores, and several techniques currently exist for estimating both accuracy and consistency. However, research on classification accuracy and consistency on compensatory test scores is scarce. This study demonstrates two techniques that can be used to estimate classification accuracy and consistency when test scores are used in a compensatory manner. First, a simulation study demonstrates that both methods provide very similar results under the studied conditions. Second, we demonstrate how the two methods could be used with a high-stakes licensure exam.

补偿性综合测试成绩的分类准确性和一致性
考试成绩经常被用来决定考生,比如在执照和认证考试中,以及在许多教育环境中。在某些情况下,这些决定是基于补偿性分数,例如来自考试的多个部分或组成部分的分数。分类准确性和分类一致性是测试分数的两个心理测量特征,当决策基于这些分数时,通常会报告这些特征,目前存在几种评估准确性和一致性的技术。然而,对代偿测试分数的分类准确性和一致性的研究却很少。本研究展示了两种技术,可以用来估计分类的准确性和一致性时,测试成绩使用补偿的方式。首先,仿真研究表明,在研究条件下,两种方法的结果非常相似。其次,我们将演示如何在高风险的执照考试中使用这两种方法。
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来源期刊
CiteScore
2.30
自引率
7.70%
发文量
46
期刊介绍: The Journal of Educational Measurement (JEM) publishes original measurement research, provides reviews of measurement publications, and reports on innovative measurement applications. The topics addressed will interest those concerned with the practice of measurement in field settings, as well as be of interest to measurement theorists. In addition to presenting new contributions to measurement theory and practice, JEM also serves as a vehicle for improving educational measurement applications in a variety of settings.
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