Herman Aguinis, Steven A Culpepper
Predictive bias (i.e., differential prediction) means that regression equations predicting performance differ across groups based on protected status (e.g., ethnicity, sexual orientation, sexual identity, pregnancy, disability, and religion). Thus, making prescreening, admissions, and selection decisions when predictive bias exists violates principles of fairness based on equal treatment and opportunity. First, we conducted a two-part study showing that different types of predictive bias exist. Specifically, we conducted a Monte Carlo simulation showing that out-of-sample predictions provide a more precise understanding of the nature of predictive bias-whether it is based on intercept and/or slope differences across groups...
October 12, 2023: Journal of Applied Psychology