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应用评估中误差方差的来源:反应偏差的证据。

Evidence for response bias as a source of error variance in applied assessment.

机构信息

School of Psychology, Fairleigh Dickinson University, Teaneck, NJ 07666, USA.

出版信息

Psychol Bull. 2010 May;136(3):450-70. doi: 10.1037/a0019216.

Abstract

After 100 years of discussion, response bias remains a controversial topic in psychological measurement. The use of bias indicators in applied assessment is predicated on the assumptions that (a) response bias suppresses or moderates the criterion-related validity of substantive psychological indicators and (b) bias indicators are capable of detecting the presence of response bias. To test these assumptions, we reviewed literature comprising investigations in which bias indicators were evaluated as suppressors or moderators of the validity of other indicators. This review yielded only 41 studies across the contexts of personality assessment, workplace variables, emotional disorders, eligibility for disability, and forensic populations. In the first two contexts, there were enough studies to conclude that support for the use of bias indicators was weak. Evidence suggesting that random or careless responding may represent a biasing influence was noted, but this conclusion was based on a small set of studies. Several possible causes for failure to support the overall hypothesis were suggested, including poor validity of bias indicators, the extreme base rate of bias, and the adequacy of the criteria. In the other settings, the yield was too small to afford viable conclusions. Although the absence of a consensus could be used to justify continued use of bias indicators in such settings, false positives have their costs, including wasted effort and adverse impact. Despite many years of research, a sufficient justification for the use of bias indicators in applied settings remains elusive.

摘要

经过 100 年的讨论,反应偏差仍然是心理测量学中一个有争议的话题。在应用评估中使用偏差指标是基于以下假设:(a)反应偏差抑制或调节实质性心理指标的效标关联效度;(b)偏差指标能够检测到反应偏差的存在。为了检验这些假设,我们回顾了文献,其中包括评估偏差指标作为其他指标的有效性的抑制因素或调节因素的研究。这项综述仅在人格评估、工作场所变量、情绪障碍、残疾资格和法医人群等背景下产生了 41 项研究。在前两个背景下,有足够的研究可以得出结论,即支持使用偏差指标的证据较弱。虽然注意到随机或粗心的反应可能代表一种有偏差的影响,但这一结论是基于一小部分研究得出的。提出了几个可能导致无法支持总体假设的原因,包括偏差指标的有效性差、偏差的极端基础率以及标准的充分性。在其他情况下,结果太少,无法得出可行的结论。尽管缺乏共识可以用来证明在这种情况下继续使用偏差指标是合理的,但假阳性也有其代价,包括浪费精力和产生负面影响。尽管经过多年的研究,但在应用环境中使用偏差指标的充分理由仍然难以捉摸。

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