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Full-Text Articles in Social and Behavioral Sciences
Designing Pareto-Optimal Selection Systems For Multiple Minority Subgroups And Multiple Criteria, Wilfried De Corte, Paul R. Sackett, Filip Lievens
Designing Pareto-Optimal Selection Systems For Multiple Minority Subgroups And Multiple Criteria, Wilfried De Corte, Paul R. Sackett, Filip Lievens
Research Collection Lee Kong Chian School Of Business
Currently used Pareto-optimal (PO) approaches for balancing diversity and validity goals in selection can deal only with one minority group and one criterion. These are key limitations because the workplace and society at large are getting increasingly diverse and because selection system designers often have interest in multiple criteria. Therefore, the article extends existing methods for designing PO selection systems to situations involving multiple criteria and multiple minority groups (i.e., multiobjective PO selection systems). We first present a hybrid multiobjective PO approach for computing selection systems that are PO with respect to (a) a set of quality objectives (i.e., criteria) …
The Risk Of Adverse Impact In Selections Based On A Test With Known Effect Size, Wilfried De Corte, Filip Lievens
The Risk Of Adverse Impact In Selections Based On A Test With Known Effect Size, Wilfried De Corte, Filip Lievens
Research Collection Lee Kong Chian School Of Business
The authors derive the exact sampling distribution function of the adverse impact (AI) ratio for single-stage, top-down selections using tests with known effect sizes. Subsequently, it is shown how this distribution function can be used to determine the risk that a future selection decision on the basis of such tests will result in an outcome that reflects the presence of AI. The article therefore provides test and selection practitioners with a valuable tool to decide between alternative selection predictors.