A synthetic validity approach to testing differential prediction hypotheses

Abstract

A new method is presented for conducting differential prediction analyses that makes it possible to test differential prediction hypotheses with adequate statistical power even when the sample size within a job or a job family is very small. This method, called synthetic differential prediction analysis , represents an application of the logic of synthetic validation to differential prediction analyses. The authors explain this new method and describe its application in a selection-system validation study conducted in a large organization. (PsycInfo Database Record (c) 2025 APA, all rights reserved)