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处理调查数据中的粗心作答:预防、识别及推荐的最佳实践

Dealing with Careless Responding in Survey Data: Prevention, Identification, and Recommended Best Practices.

作者信息

Ward M K, Meade Adam W

机构信息

Tacoma, Washington, USA; email:

Department of Psychology, North Carolina State University, Raleigh, North Carolina, USA; email:

出版信息

Annu Rev Psychol. 2023 Jan 18;74:577-596. doi: 10.1146/annurev-psych-040422-045007. Epub 2022 Aug 16.

Abstract

Surveys administered online have several benefits, but they are particularly prone to careless responding, which occurs when respondents fail to read item content or give sufficient attention, resulting in raw data that may not accurately reflect respondents' true levels of the constructs being measured. Careless responding can lead to various psychometric issues, potentially impacting any area of psychology that uses self-reported surveys and assessments. This review synthesizes the careless responding literature to provide a comprehensive understanding of careless responding and ways to prevent, identify, report, and clean careless responding from data sets. Further, we include recommendations for different levels of screening for careless responses. Finally, we highlight some of the most promising areas for future work on careless responding.

摘要

在线进行的调查有几个好处,但它们特别容易出现随意作答的情况,即受访者没有阅读题目内容或没有给予足够关注,从而导致原始数据可能无法准确反映受访者在所测量的构念上的真实水平。随意作答会导致各种心理测量问题,可能会影响使用自我报告调查和评估的心理学的任何领域。这篇综述综合了有关随意作答的文献,以全面了解随意作答以及从数据集中预防、识别、报告和清理随意作答的方法。此外,我们还包括针对不同随意作答筛查水平的建议。最后,我们强调了随意作答未来研究中一些最有前景的领域。

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