Designing Pareto-optimal selection systems: Formalizing the decisions required for selection system development

Author

Wilfried DE CORTE, Ghent University
Paul R. SACKETT, University of Minnesota - Twin Cities
Filip LIEVENS, Singapore Management UniversityFollow

Publication Type

Journal Article

Version

acceptedVersion

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

Industrial and Organizational Psychology | Organizational Behavior and Theory

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

Citation

DE CORTE, Wilfried; SACKETT, Paul R.; and LIEVENS, Filip. Designing Pareto-optimal selection systems: Formalizing the decisions required for selection system development. (2011). Journal of Applied Psychology. 96, (5), 907-926.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/5586

Copyright Owner and License

Authors

Creative Commons License

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

Additional URL

https://doi.org./10.1037/a0023298