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Pareto‐Optimal Predictor Composite Formation: A complementary approach to alleviating the selection quality/adverse impact dilemma
Author(s) -
Sackett Paul R.,
De Corte Wilfried,
Lievens Filip
Publication year - 2008
Publication title -
international journal of selection and assessment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.812
H-Index - 61
eISSN - 1468-2389
pISSN - 0965-075X
DOI - 10.1111/j.1468-2389.2008.00426.x
Subject(s) - pareto principle , context (archaeology) , dilemma , quality (philosophy) , adverse selection , selection (genetic algorithm) , dualism , pareto optimal , economics , microeconomics , computer science , psychology , multi objective optimization , operations management , mathematics , artificial intelligence , machine learning , paleontology , philosophy , geometry , epistemology , biology
In our rejoinder to the comments of Kehoe (this issue) and Potosky, Bobko and Roth (this issue) we emphasize that our proposal on Pareto‐optimal predictor composite formation is a complementary and not a competitive alternative for reducing the tension between selection quality and adverse impact. Our work addresses the decisions to be made once one has decided to use a predictor composite. We also further clarify the basic features of Pareto‐optimal tradeoffs and Pareto‐optimal composites within the context of personnel selection. In particular, we indicate that Pareto‐optimal tradeoffs between validity and adverse impact emerge because these goals are different and not because of any dualism between them.