Abstract
The article presents an analytic method for designing Pareto-optimal selection systems where the applicants belong to a mixture of candidate populations. The method is useful in both applied and research settings. In an applied context, the present method is the first to assist the selection practitioner when deciding on 6 major selection design issues: (1) the predictor subset, (2) the selection rule, (3) the selection staging, (4) the predictor sequencing, (5) the predictor weighting, and (6) the stage retention decision issue. From a research perspective, the method offers a unique opportunity for studying the impact and relative importance of different strategies for reducing adverse impact.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 907-926 |
| Number of pages | 20 |
| Journal | Journal of Applied Psychology |
| Volume | 96 |
| Issue number | 5 |
| DOIs | |
| State | Published - Sep 2011 |
Keywords
- Adverse impact
- Pareto-optimal
- Personnel selection
- Selection design