数字模块32:理解和减轻低努力对测试和调查分数常用的影响

IF 2.7 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
James Soland
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引用次数: 0

摘要

大多数参加、解释、设计或评分考试的人都意识到,考生在回答问题时并不总是全力以赴。然而,许多这样的人并没有意识到这个问题有多普遍,它的后果是什么,以及如何解决它。在这个数字项目模块中,James Soland博士将帮助填补知识库中的这些空白。具体来说,该模块列举了与低努力相关的行为发生的频率,以及它们可能歪曲基于考试成绩的推断的一些方式。然后,该模块解释了一些最常见的识别低努力的方法,并在检查考试成绩时对其进行纠正。还简要讨论了这些方法如何与那些用于处理自我报告背景下低应答者努力的方法保持一致,并与之不同。还提供了数据和代码,以便读者可以在自己的工作中更好地实现一些所需的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Module 32: Understanding and Mitigating the Impact of Low Effort on Common Uses of Test and Survey Scores

Most individuals who take, interpret, design, or score tests are aware that examinees do not always provide full effort when responding to items. However, many such individuals are not aware of how pervasive the issue is, what its consequences are, and how to address it. In this digital ITEMS module, Dr. James Soland will help fill these gaps in the knowledge base. Specifically, the module enumerates how frequently behaviors associated with low effort occur, and some of the ways they can distort inferences based on test scores. Then, the module explains some of the most common approaches for identifying low effort, and correcting for it when examining test scores. Brief discussion is also given to how these methods align with, and diverge from, those used to deal with low respondent effort in self-report contexts. Data and code are also provided such that readers can better implement some of the desired methods in their own work.

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来源期刊
CiteScore
3.90
自引率
15.00%
发文量
47
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