Consider the situation: Reducing automatic stereotyping through Situational Attribution Training

Abstract

The present research investigated the effectiveness of a new technique for reducing automatic biases rooted in attribution theory – the Situational Attribution Training Technique. The goal of this strategy extends previous work by targeting the fundamental attributional pillars underlying automatic stereotyping. We aimed to circumvent the well-documented tendency for individuals to be overly reliant on dispositional attributions when perceiving negative stereotype-consistent behaviors performed by outgroup members. By teaching participants to consider situational attributions for such behaviors, we expected a reduction in outgroup stereotyping. Specifically, White participants were trained extensively to choose situational over dispositional explanations for negative stereotype-consistent behaviors performed by Black men. Across two experiments, participants who completed Situational Attribution Training demonstrated reduced automatic racial stereotyping on a person categorization task, relative to control participants who exhibited substantial automatic stereotyping. The implications of these findings for the nature and reduction of intergroup biases are discussed.