针对多个少数子群和多个准则设计pareto最优选择系统。

IF 9.4 1区 心理学 Q1 MANAGEMENT
Journal of Applied Psychology Pub Date : 2024-04-01 Epub Date: 2023-10-26 DOI:10.1037/apl0001145
Wilfried De Corte, Paul R Sackett, Filip Lievens
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引用次数: 0

摘要

目前使用的帕累托最优(PO)方法在选择中平衡多样性和有效性目标,只能处理一个少数群体和一个标准。这些都是关键的局限性,因为工作场所和整个社会正变得越来越多样化,而且选拔系统设计师往往对多种标准感兴趣。因此,本文将现有的PO选择系统设计方法扩展到涉及多个标准和多个少数群体的情况(即多目标PO选择系统)。我们首先提出了一种混合多目标PO方法,用于计算相对于(a)一组质量目标(即标准)和(b)一组多样性目标为PO的选择系统,其中每个多样性目标与不同的少数群体有关。接下来,我们提出了三个二维子空间过程,以帮助选择设计者在具有大量质量和多样性目标的情况下在PO系统之间进行选择。我们通过几个示例应用说明了我们新的多目标PO方法,从而证明了它们是第一个揭示合格PO选择设计的完整范围的方法,并在两个以上目标的情况下忠实地捕捉Pareto权衡前沿。此外,一项小规模的交叉验证研究证实,当应用于新的验证样本时,由此产生的PO选择设计比替代设计保持优势。最后,本文提供了一个可执行代码的链接,以执行新的多目标PO方法。(PsycInfo数据库记录(c)2023 APA,保留所有权利)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing pareto-optimal selection systems for multiple minority subgroups and multiple criteria.

Currently used Pareto-optimal (PO) approaches for balancing diversity and validity goals in selection can deal only with one minority group and one criterion. These are key limitations because the workplace and society at large are getting increasingly diverse and because selection system designers often have interest in multiple criteria. Therefore, the article extends existing methods for designing PO selection systems to situations involving multiple criteria and multiple minority groups (i.e., multiobjective PO selection systems). We first present a hybrid multiobjective PO approach for computing selection systems that are PO with respect to (a) a set of quality objectives (i.e., criteria) and (b) a set of diversity objectives where each diversity objective relates to a different minority group. Next, we propose three two-dimensional subspace procedures that aid selection designers in choosing between the PO systems in case of a high number of quality and diversity objectives. We illustrate our novel multiobjective PO approaches via several example applications, thereby demonstrating that they are the first to reveal the complete gamut of eligible PO selection designs and to faithfully capture the Pareto trade-off front in case of more than two objectives. In addition, a small-scale cross-validation study confirms that the resulting PO selection designs retain an advantage over alternative designs when applied in new validation samples. Finally, the article provides a link to an executable code to perform the new multiobjective PO approaches. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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来源期刊
CiteScore
17.60
自引率
6.10%
发文量
175
期刊介绍: The Journal of Applied Psychology® focuses on publishing original investigations that contribute new knowledge and understanding to fields of applied psychology (excluding clinical and applied experimental or human factors, which are better suited for other APA journals). The journal primarily considers empirical and theoretical investigations that enhance understanding of cognitive, motivational, affective, and behavioral psychological phenomena in work and organizational settings. These phenomena can occur at individual, group, organizational, or cultural levels, and in various work settings such as business, education, training, health, service, government, or military institutions. The journal welcomes submissions from both public and private sector organizations, for-profit or nonprofit. It publishes several types of articles, including: 1.Rigorously conducted empirical investigations that expand conceptual understanding (original investigations or meta-analyses). 2.Theory development articles and integrative conceptual reviews that synthesize literature and generate new theories on psychological phenomena to stimulate novel research. 3.Rigorously conducted qualitative research on phenomena that are challenging to capture with quantitative methods or require inductive theory building.
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