Publication Type

Journal Article

Publication Date

9-2011

Abstract

The article presents an analytic method for designing Pareto-optimal selection systems where the applicants belong to a mixture of candidate populations. The method is useful in both applied and research settings. In an applied context, the present method is the first to assist the selection practitioner when deciding on 6 major selection design issues: (1) the predictor subset, (2) the selection rule, (3) the selection staging, (4) the predictor sequencing, (5) the predictor weighting, and (6) the stage retention decision issue. From a research perspective, the method offers a unique opportunity for studying the impact and relative importance of different strategies for reducing adverse impact.

Keywords

Adverse impact, personnel selection, Pareto-optimal, selection design

Discipline

Organizational Behavior and Theory | Social and Behavioral Sciences

Research Areas

Organisational Behaviour and Human Resources

Publication

Journal of Applied Psychology

Volume

96

Issue

5

First Page

907

Last Page

926

ISSN

0021-9010

Identifier

10.1037/a0023298

Publisher

American Psychological Association

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://doi.org./10.1037/a0023298

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