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Related Experiment Videos

Predicting adverse impact and mean criterion performance in multistage selection.

Wilfried De Corte1, Filip Lievens, Paul R Sackett

  • 1Ghent University, Department of Data Analysis, Ghent, Belgium. wilfried.decorte@rug.ac.be

The Journal of Applied Psychology
|June 2, 2006
PubMed
Summary

This study introduces a new analytical method for evaluating multistage selection processes. The method assesses candidate performance, adverse impact, and costs, particularly for diverse applicant pools.

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Area of Science:

  • Industrial-Organizational Psychology
  • Quantitative Psychology
  • Human Resources Management

Background:

  • Multistage selection processes are common in organizational hiring.
  • Existing methods often assume homogenous applicant pools.
  • Assessing performance, diversity, and cost simultaneously is challenging.

Purpose of the Study:

  • To present an analytical method for evaluating multistage selection decisions.
  • To extend existing methods to mixed-population applicant pools.
  • To provide a framework for optimizing selection outcomes.

Main Methods:

  • Developed an analytical method to estimate average criterion performance, adverse impact, and costs.
  • Extended the method to accommodate applicant pools with varying average performance levels.

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  • Applied the method in three empirical studies.

    • Main Results:

    • The method effectively assesses multistage selection outcomes for diverse applicant pools.
    • Empirical studies highlighted key issues in current multistage selection practices.
    • Demonstrated the utility of the method for practical decision-making.

    Conclusions:

    • The proposed analytical method offers a comprehensive approach to multistage selection.
    • It can be integrated into a broader framework for designing optimal selection systems.
    • Aims to balance selection costs, workforce quality, and diversity goals.