Suppressor Variables in Social Work Research: Ways to Identify in Multiple Regression Models

Abstract

Suppressor variables may be more common in social work research than what is currently recognized. We review different types of suppressor variables and illustrate systematic ways to identify them in multiple regression using four statistics: R², sum of squares, regression weight, and comparing zero-order correlations with respective semipartial correlations.