Liar! Liar! (when stakes are higher): Understanding how the overclaiming technique can be used to measure faking in personnel selection.

P. Dunlop, J. Bourdage, Reinout E. de Vries, I. McNeill, Karina Jorritsma, Megan Orchard, T. Austen, Teesha Baines, Weng-Khong Choe
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引用次数: 24

Abstract

Overclaiming questionnaires (OCQs), which capture overclaiming behavior, or exaggerating one's knowledge about a given topic, have been proposed as potentially indicative of faking behaviors that plague self-report assessments in job application settings. The empirical evidence on the efficacy of OCQs in this respect is inconsistent, however. We draw from expectancy theory to reconcile these inconsistencies and identify the conditions under which overclaiming behavior will be most indicative of faking. We propose that the assessment context must be tied to an outcome with high valence, and that the content of the OCQ must match the perceived knowledge requirements of the target job, such that overclaiming knowledge of that content will be instrumental to receiving a job offer. We test these propositions through three studies. First, in a sample of 519 applicants to firefighter positions, we demonstrate that overclaiming on a job-relevant OCQ is positively associated with other indicators of faking and self-presentation. Next, we demonstrate through a repeated-measures experiment (N = 252) that participants in a simulated personnel selection setting overclaim more knowledge on a job-relevant OCQ than on a job-irrelevant OCQ, compared with when they are instructed to respond honestly. Finally, in a novel repeated-measures personnel selection paradigm (N = 259), we observed more overclaiming during a selection assessment compared with a research assessment, and we observed that this job-application overclaiming behavior predicted deviant behavior following selection. Altogether, the results show that overclaiming behavior is most indicative of faking in job application assessments when an OCQ contains job-relevant (rather than job-irrelevant) content. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
骗子!骗子!(当风险较高时):了解如何使用过度要求技术来衡量人员选择中的欺诈行为。
夸大调查问卷(ocq)捕捉了夸大的行为,或夸大一个人对特定主题的知识,已经被提出作为潜在的虚假行为的指示,这些行为困扰着求职环境中的自我报告评估。然而,关于ocq在这方面的有效性的经验证据并不一致。我们利用期望理论来调和这些不一致之处,并确定在哪些条件下,过度索取的行为将最能表明欺骗。我们建议,评估情境必须与高效价的结果相关联,OCQ的内容必须与目标工作的感知知识要求相匹配,这样,对该内容的过度了解将有助于获得工作机会。我们通过三项研究来检验这些命题。首先,在519名消防员职位申请人的样本中,我们证明了在与工作相关的OCQ上的夸大与虚假和自我表现的其他指标呈正相关。接下来,我们通过重复测量实验(N = 252)证明,与被要求诚实回答时相比,在模拟人员选择设置中,参与者在与工作相关的OCQ上比在与工作无关的OCQ上夸大了更多的知识。最后,在一种新的重复测量人员选择范式(N = 259)中,我们观察到在选择评估中比研究评估中有更多的夸大要求,并且我们观察到这种工作申请夸大要求的行为预测了选择后的偏差行为。总的来说,结果表明,当OCQ包含与工作相关(而不是与工作无关)的内容时,夸大行为最能表明工作申请评估中的造假。(PsycINFO数据库记录(c) 2019 APA,版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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