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Tell me some more: Exploring how verbal ability and item verifiability influence responses to biodata questions in a high-stakes selection context

机译:告诉我更多信息:探索语言能力和项目可验证性如何影响高风险选择背景下对生物数据问题的回答

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摘要

Although self-rated or self-scored selection measures are commonly used in selection contexts, they are potentially susceptible to applicant response distortion or faking. The response elaboration technique (RET), which requires job applicants to provide supporting information to justify their responses, has been identified as a potential way to minimize applicant response distortion. In a large-scale, high-stakes selection context (N= 16,304), we investigate the extent to which RET affects responding on a biodata test as well as the underlying reasons for any potential effect. We find that asking job applicants to elaborate their responses leads to overall lower scores on a biodata test. Item verifiability affects the extent to which RET decreases faking, which we suggest is due to increased accountability. In addition, verbal ability was more strongly related to biodata item scores when items require elaboration, although the effect of verbal ability was small. The implications of these findings for reducing faking in personnel selection are delineated.
机译:尽管在选择环境中通常使用自评或自评选择方法,但它们很容易受到申请人反应失真或伪造的影响。要求工作申请人提供支持信息以证明其答案合理的答复详细说明技术(RET)已被认为是最大程度地减少申请人答复失真的一种潜在方法。在大规模,高风险的选择环境中(N = 16,304),我们调查了RET影响生物数据测试响应的程度以及潜在影响的潜在原因。我们发现,要求求职者详细说明他们的回答会导致生物数据测试的总体得分较低。项目可验证性会影响RET减少伪造的程度,我们认为这是由于责任感增强。此外,尽管语言能力的影响很小,但当需要详细说明时,语言能力与生物数据项目得分之间的关​​系就更强。这些发现对减少伪造人员选拔的意义进行了描述。

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