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Offsetting Performance Losses Due to Cheating in Unproctored Internet-based Testing by Increasing the Applicant Pool

机译:通过增加申请人池来抵消因未经授权的基于Internet的测试中作弊而导致的性能损失

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摘要

A concern about unproctored Internet-based testing (UIT) without follow-up verification is that because applicants are able to cheat when completing tests, test validity decreases to an unknown extent. However, this view ignores a potential advantage to UIT: Should UIT increase applicant pool size, an organization with a fixed goal in terms of the number of candidates to advance to the next stage of the hiring process can increase the cutoff score and thus be more selective. In this study, a simulation was conducted to determine if this advantage outweighs the cheating disadvantage in the prediction of job performance. When the applicant pool is increased substantially through UIT, job performance outcomes are often higher even when many applicants increase their test scores through cheating.
机译:对于没有后续验证的未经授权的基于Internet的测试(UIT)的担心是,由于申请人在完成测试时会作弊,因此测试的有效性下降到未知的程度。但是,这种观点忽略了UIT的潜在优势:如果UIT增加申请人池规模,则在候选人数量方面有固定目标的组织可以晋升到招聘流程的下一阶段,可以提高截止分数,从而获得更大的收益。可选择的。在这项研究中,进行了模拟以确定在预测工作绩效时,这种优势是否大于作弊劣势。当通过UIT大幅增加申请人人数时,即使许多申请人通过作弊来提高他们的考试分数,工作绩效结果通常也会更高。

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