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.
Adverse impact, personnel selection, Pareto-optimal, selection design
Organizational Behavior and Theory | Social and Behavioral Sciences
Organisational Behaviour and Human Resources
Journal of Applied Psychology
American Psychological Association
DE CORTE, W; SACKETT, PR; 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. Research Collection Lee Kong Chian School Of Business.
Available at: http://ink.library.smu.edu.sg/lkcsb_research/5586
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