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Designing pareto-optimal systems for complex selection decisions

Celina Druart (UGent) and Wilfried De Corte (UGent)
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Abstract
The current practice of personnel selection faces the challenge of reconciling the often competing goals of obtaining a high-quality as well as a diverse workforce. To address this challenge for simple selections, De Corte, Sackett, and Lievens (2011) propose using Pareto-optimal predictor composites. These composites yield trade-offs between selection quality and selection diversity levels that cannot be improved simultaneously by any other composite. The current article describes how these Pareto-optimal composites and trade-offs can be developed in complex selection situations, which are characterized by vacancies for at least two different positions and applicants that apply either for one or several of these open positions simultaneously. An analytic method that estimates the selection quality and adverse impact of these complex selection decisions is presented and implemented in a multi-objective optimization program, so as to obtain Pareto-optimal predictor composites. The resulting decision aid is subsequently used to illustrate how it can lead to substantive contributions when considering the quality-diversity dilemma in a complex selection context.
Keywords
diversity-validity dilemma, BATTERY, QUALITY, STRATEGIES, PREDICTORS, JOB-PERFORMANCE, CLASSIFICATION EFFICIENCY, REDUCE ADVERSE IMPACT, adverse impact, DIVERSITY-VALIDITY DILEMMA, selection quality, complex selection decisions, personnel classification, Pareto-optimal trade-offs

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Please use this url to cite or link to this publication:

Chicago
Druart, Celina, and Wilfried De Corte. 2012. “Designing Pareto-optimal Systems for Complex Selection Decisions.” Organizational Research Methods 15 (3): 488–513.
APA
Druart, Celina, & De Corte, W. (2012). Designing pareto-optimal systems for complex selection decisions. ORGANIZATIONAL RESEARCH METHODS, 15(3), 488–513.
Vancouver
1.
Druart C, De Corte W. Designing pareto-optimal systems for complex selection decisions. ORGANIZATIONAL RESEARCH METHODS. 2012;15(3):488–513.
MLA
Druart, Celina, and Wilfried De Corte. “Designing Pareto-optimal Systems for Complex Selection Decisions.” ORGANIZATIONAL RESEARCH METHODS 15.3 (2012): 488–513. Print.
@article{3111598,
  abstract     = {The current practice of personnel selection faces the challenge of reconciling the often competing goals of obtaining a high-quality as well as a diverse workforce. To address this challenge for simple selections, De Corte, Sackett, and Lievens (2011) propose using Pareto-optimal predictor composites. These composites yield trade-offs between selection quality and selection diversity levels that cannot be improved simultaneously by any other composite. The current article describes how these Pareto-optimal composites and trade-offs can be developed in complex selection situations, which are characterized by vacancies for at least two different positions and applicants that apply either for one or several of these open positions simultaneously. An analytic method that estimates the selection quality and adverse impact of these complex selection decisions is presented and implemented in a multi-objective optimization program, so as to obtain Pareto-optimal predictor composites. The resulting decision aid is subsequently used to illustrate how it can lead to substantive contributions when considering the quality-diversity dilemma in a complex selection context.},
  author       = {Druart, Celina and De Corte, Wilfried},
  issn         = {1094-4281},
  journal      = {ORGANIZATIONAL RESEARCH METHODS},
  keywords     = {diversity-validity dilemma,BATTERY,QUALITY,STRATEGIES,PREDICTORS,JOB-PERFORMANCE,CLASSIFICATION EFFICIENCY,REDUCE ADVERSE IMPACT,adverse impact,DIVERSITY-VALIDITY DILEMMA,selection quality,complex selection decisions,personnel classification,Pareto-optimal trade-offs},
  language     = {eng},
  number       = {3},
  pages        = {488--513},
  title        = {Designing pareto-optimal systems for complex selection decisions},
  url          = {http://dx.doi.org/10.1177/1094428112440328},
  volume       = {15},
  year         = {2012},
}

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