A Note on Increases in Inattentive Online Survey-Takers Since 2020

John Ternovski, Lilla V. Orr, Joshua L. Kalla, P. Aronow
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引用次数: 12

Abstract

Lucid, a popular source of online convenience survey samples, has seen a significant increase in inattentive respondents since 2020. Inattentive participants – respondents who incorrectly answer directed query attention check questions – may be introducing substantial measurement error and attenuation bias. Using data from 152,967 survey respondents across multiple studies conducted between January 2020 and June 2021, we find that inattentive respondents report less reliable demographic data, less stable responses, and are systematically different from attentive respondents. We find some evidence of attenuation bias and mixed evidence that data quality has decreased slightly since 2020 even after filtering for inattentive respondents. We conclude that researchers using Lucid should report if they screened on attentiveness and consider replicating any null results. Such an unexpected increase in inattentiveness in a widely-used platform suggests that future researchers relying on online convenience survey samples should continuously assess data quality.
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关于自2020年以来注意力不集中的在线调查者数量增加的说明
Lucid是一个受欢迎的在线便利调查样本来源,自2020年以来,注意力不集中的受访者显著增加。注意力不集中的参与者——错误地回答定向查询注意力检查问题的受访者——可能会引入实质性的测量误差和衰减偏差。利用2020年1月至2021年6月期间进行的多项研究中152,967名调查对象的数据,我们发现注意力不集中的受访者报告的人口统计数据不太可靠,回答不太稳定,并且与注意力集中的受访者存在系统性差异。我们发现一些衰减偏差的证据和混合证据表明,自2020年以来,即使在过滤了注意力不集中的受访者后,数据质量也略有下降。我们的结论是,使用Lucid的研究人员应该报告他们是否对注意力进行了筛选,并考虑复制任何无效的结果。在一个广泛使用的平台上,这种意想不到的注意力增加表明,未来依赖在线便利调查样本的研究人员应该不断评估数据质量。
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