Differential Prediction and the Use of Multiple Predictors: The Omitted Variables Problem

Paul R Sackett, Roxanne M. Laczo, Zachary P. Lippe

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Moderated regression is widely used to examine differential prediction by race or gender. When using multiple predictors in a selection system, guidance as to whether differential prediction analysis should be conducted on each predictor individually, or on the set of predictors in combination, is lacking. Analyzing predictors individually creates the possibility of an omitted variable problem. Army Project A data were used to examine differential prediction by race with the use of personality measures for 79 predictor-criterion combinations. Traditional analysis indicated predictive bias by intercept in 45 instances and by slope in 7 instances; the inclusion of an Armed Services Vocational Aptitude Battery general factor as an additional predictor changed the conclusion in 32 cases for the intercept and in 3 cases for the slope.

Original languageEnglish (US)
Pages (from-to)1046-1056
Number of pages11
JournalJournal of Applied Psychology
Volume88
Issue number6
DOIs
StatePublished - Dec 2003

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