Predicting adverse impact and mean criterion performance in multistage selection

Wilfried De Corte, Filip Lievens, Paul R. Sackett

Research output: Contribution to journalArticlepeer-review

51 Scopus citations

Abstract

The authors present an analytical method to assess the average criterion performance of the selected candidates as well as the adverse impact and the cost of general multistage selection decisions. The method extends previous work on the analytical estimation of multistage selection outcomes to the case in which the applicant pool is a mixture of applicant populations that differ in their average performance on the selection predictors. Next, the method was used to conduct 3 studies of important issues practitioners and researchers have with multistage selection processes. Finally, the authors indicate how the method can be integrated into a broader analytical framework to design multistage selection decisions that achieve intended levels of selection cost, workforce quality, and workforce diversity.

Original languageEnglish (US)
Pages (from-to)523-537
Number of pages15
JournalJournal of Applied Psychology
Volume91
Issue number3
DOIs
StatePublished - May 2006

Keywords

  • Adverse impact
  • Estimation procedure
  • Personnel selection
  • Quality selected workforce

Fingerprint Dive into the research topics of 'Predicting adverse impact and mean criterion performance in multistage selection'. Together they form a unique fingerprint.

Cite this