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关于范围限制对预测变量相互关系影响的警示说明。

A cautionary note on the effects of range restriction on predictor intercorrelations.

作者信息

Sackett Paul R, Lievens Filip, Berry Christopher M, Landers Richard N

机构信息

Department of Psychology, University of Minnesota, Minneapolis, MN 55455, USA.

出版信息

J Appl Psychol. 2007 Mar;92(2):538-44. doi: 10.1037/0021-9010.92.2.538.

Abstract

The purpose of this research report is to highlight a unique set of issues that arise when considering the effects of range restriction in the context of estimating predictor intercorrelations. Three approaches are used to illustrate the issue: simulation, a concrete applied example, and a reanalysis of a meta-analysis of ability-interview correlations. The general conclusion is that a predictor intercorrelation can differ dramatically from the population value when both predictors are used in a composite that is used operationally for selection. The compensatory nature of a composite means that low scorers on one predictor can only obtain high scores on the composite if they obtain very high scores on the other predictor; this phenomenon distorts the correlation between the predictors.

摘要

本研究报告的目的是突出在估计预测变量相互关系的背景下考虑范围限制的影响时出现的一系列独特问题。我们采用了三种方法来说明这一问题:模拟、一个具体的应用实例以及对能力与面试相关性的荟萃分析的重新分析。总体结论是,当两个预测变量都用于实际选拔的综合指标中时,预测变量的相互关系可能与总体值有显著差异。综合指标的补偿性质意味着,一个预测变量得分低的人只有在另一个预测变量上获得非常高的分数时,才能在综合指标上获得高分;这种现象扭曲了预测变量之间的相关性。

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