一种识别部分测试参与的方法

IF 1.1 4区 教育学 Q3 EDUCATION & EDUCATIONAL RESEARCH Applied Measurement in Education Pub Date : 2021-03-01 DOI:10.1080/08957347.2021.1890745
S. Wise, Megan Kuhfeld
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引用次数: 11

摘要

摘要努力调节(E-M)评分旨在评估一个没有参与的考生在完全参与的情况下会有多好的表现。它通过将脱离的响应从评分中排除,并从剩余响应中估计性能来实现这一调整。然而,评分方法假设剩余的反应不受脱离接触的影响。最近的一项研究提供了证据,证明E-M评分中使用的回答有时会反映出不完全或部分参与。在这些情况下,E-M分数将不太可信,因为它们仍然可能因脱离而失真。本文描述了一种识别部分参与的方法,并提供了验证证据来支持其使用和解释。当测试事件表明存在部分参与时,应谨慎解读努力调节的分数。
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A Method for Identifying Partial Test-Taking Engagement
ABSTRACT Effort-moderated (E-M) scoring is intended to estimate how well a disengaged test taker would have performed had they been fully engaged. It accomplishes this adjustment by excluding disengaged responses from scoring and estimating performance from the remaining responses. The scoring method, however, assumes that the remaining responses are not affected by disengagement. A recent study provided evidence that the responses used in E-M scoring can sometimes reflect less-than-full, or partial engagement. In these instances, E-M scores will be less trustworthy because they can still be distorted by disengagement. This paper describes a method for identifying partial engagement and provides validation evidence to support its use and interpretation. When test events indicate the presence of partial engagement, effort-moderated scores should be interpreted cautiously.
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来源期刊
CiteScore
2.50
自引率
13.30%
发文量
14
期刊介绍: Because interaction between the domains of research and application is critical to the evaluation and improvement of new educational measurement practices, Applied Measurement in Education" prime objective is to improve communication between academicians and practitioners. To help bridge the gap between theory and practice, articles in this journal describe original research studies, innovative strategies for solving educational measurement problems, and integrative reviews of current approaches to contemporary measurement issues. Peer Review Policy: All review papers in this journal have undergone editorial screening and peer review.
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