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重新审视人员选拔中有效性的元分析估计:解决因范围限制而进行的系统过度校正问题。

Revisiting meta-analytic estimates of validity in personnel selection: Addressing systematic overcorrection for restriction of range.

机构信息

Department of Psychology.

Department of Management and Entrepreneurship.

出版信息

J Appl Psychol. 2022 Nov;107(11):2040-2068. doi: 10.1037/apl0000994. Epub 2021 Dec 30.

DOI:10.1037/apl0000994
PMID:34968080
Abstract

This paper systematically revisits prior meta-analytic conclusions about the criterion-related validity of personnel selection procedures, and particularly the effect of range restriction corrections on those validity estimates. Corrections for range restriction in meta-analyses of predictor-criterion relationships in personnel selection contexts typically involve the use of an artifact distribution. After outlining and critiquing five approaches that have commonly been used to create and apply range restriction artifact distributions, we conclude that each has significant issues that often result in substantial overcorrection and that therefore the validity of many selection procedures for predicting job performance has been substantially overestimated. Revisiting prior meta-analytic conclusions produces revised validity estimates. Key findings are that most of the same selection procedures that ranked high in prior summaries remain high in rank, but with mean validity estimates reduced by .10-.20 points. Structured interviews emerged as the top-ranked selection procedure. We also pair validity estimates with information about mean Black-White subgroup differences per selection procedure, providing information about validity-diversity tradeoffs. We conclude that our selection procedures remain useful, but selection predictor-criterion relationships are considerably lower than previously thought. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

摘要

本文系统地重新审视了先前关于人员选拔程序的效标关联效度的元分析结论,特别是范围限制校正对这些效度估计的影响。在人员选拔背景下的预测因子-效标关系的元分析中,对范围限制进行校正通常涉及使用人工制品分布。在概述和批评了常用于创建和应用范围限制人工制品分布的五种方法之后,我们得出结论,每种方法都存在重大问题,通常会导致过度校正,因此许多用于预测工作绩效的选择程序的有效性被大大高估。重新审视先前的元分析结论会产生修订后的效度估计。主要发现是,在先前的总结中排名较高的大多数相同的选择程序仍然排名较高,但平均效度估计值降低了.10-.20 个点。结构化面试成为排名最高的选拔程序。我们还将效度估计与每个选拔程序的平均黑-白亚组差异信息进行配对,提供关于有效性-多样性权衡的信息。我们得出的结论是,我们的选择程序仍然有用,但选择预测因子-效标关系远低于之前的预期。(PsycInfo 数据库记录(c)2022 APA,保留所有权利)。

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