General mental ability (GMA) tests have long been at the heart of the validity-diversity trade-off, with conventional wisdom being that reducing their weight in personnel selection can improve adverse impact, but that this results in steep costs to criterion-related validity. However, Sackett et al. (2022) revealed that the criterion-related validity of GMA tests has been considerably overestimated due to inappropriate range restriction corrections. Thus, we revisit the role of GMA tests in the validity-diversity trade-off using an updated meta-analytic correlation matrix of the relationships six selection methods (biodata, GMA tests, conscientiousness tests, structured interviews, integrity tests, and situational judgment tests) have with job performance, along with their Black-White mean differences. Our results lead to the conclusion that excluding GMA tests generally has little to no effect on validity, but substantially decreases adverse impact. Contrary to popular belief, GMA tests are not a driving factor in the validity-diversity trade-off. This does not fully resolve the validity-diversity trade-off, though: Our results show there is still some validity reduction required to get to an adverse impact ratio of .80, although the validity reduction is less than previously thought. Instead, it shows that the validity-diversity trade-off conversation should shift from the role of GMA tests to that of other selection methods. The present study also addresses which selection methods now emerge as most valid and whether composites of selection methods can result in validities similar to those expected prior to Sackett et al. (2022). (PsycInfo Database Record (c) 2024 APA, all rights reserved).

中文翻译：

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来自更新的人员选择荟萃分析矩阵的见解：重新审视一般心理能力测试在效度-多样性权衡中的作用。


长期以来，一般心理能力 （GMA） 测试一直是有效性-多样性权衡的核心，传统观点认为，减少它们在人员选择中的权重可以改善不利影响，但这会导致与标准相关的有效性成本高昂。然而，Sackett 等人（2022 年）透露，由于不适当的范围限制校正，GMA 测试的标准相关有效性被大大高估了。因此，我们使用更新的元分析相关矩阵重新审视 GMA 测试在有效性-多样性权衡中的作用六种选择方法（生物数据、GMA 测试、尽责性测试、结构化访谈、完整性测试和情境判断测试）与工作绩效的关系，以及它们的黑白平均差异。我们的结果得出的结论是，排除 GMA 测试通常对有效性几乎没有影响，但会大大减少不利影响。与普遍的看法相反，GMA 测试并不是有效性-多样性权衡的驱动因素。不过，这并不能完全解决有效性-多样性的权衡：我们的结果表明，要达到 .80 的不利影响率，仍然需要降低一些有效性，尽管有效性降低比以前认为的要小。相反，它表明有效性-多样性权衡对话应该从 GMA 测试的角色转移到其他选择方法的角色。本研究还讨论了哪些选择方法现在最有效，以及选择方法的复合是否可以产生与 Sackett 等人（2022 年）之前预期的有效性相似的有效性。（PsycInfo 数据库记录 （c） 2024 APA，保留所有权利）。