Details

Autor(en) / Beteiligte

• Scholarios, Dora M
• Johnson, Cecil D
• Zeidner, Joseph
• Schmitt, Neal

Titel

Selecting Predictors for Maximizing the Classification Efficiency of a Battery

Ist Teil von

• Journal of applied psychology, 1994-06, Vol.79 (3), p.412-424

Ort / Verlag

Washington, DC: American Psychological Association

Erscheinungsjahr

1994

Quelle

EBSCOhost Business Source Ultimate

Beschreibungen/Notizen

• A simulation approach, relying on synthetic predictor scores and predicted performance criterion scores for multiple jobs, was used to determine the effect that variables in a personnel classification system have on classification efficiency. Classification efficiency was measured as mean predicted performance determined after optimal assignment to jobs. Population parameters required to generate synthetic scores and to compute evaluation equations for simulations were obtained from the U.S. Army's Project A (1990) study. The present study provides a comparison of differential assignment theory (DAT) with general aptitude theory and validity generalization. The theoretical value and practical usefulness of DAT is supported by the finding that both longer test batteries and the use of Horst's differential validity index to select tests increase potential classification efficiency.