Measure for Measure (Wil Cunningham & Uli Schimmack Discuss the Implicit Association Test)

About this Episode

ABOUT THIS EPISODE
Since Tony Greenwald, Debbie McGhee, and Jordan Schwartz introduced the Implicit Association Test to the published literature in 1998, the IAT has taken social psychology by storm, and the notion that implicit bias is prevalent and impactful has taken the world by storm. But to what extent are popular beliefs, and popularizing claims, about implicit bias and the IAT well-supported by the science? What improvements are needed in the science of implicit bias? Does that research qualify as good science? Is it useful? And what does "implicit" even mean in this context? Psychologists Wil Cunningham and Ulrich Schimmack engage with each other and with me in a lively discussion of such issues, including conversation about Uli's 2019 paper, "The Implicit Association Test: A Method in Search of a Construct."

LINKS
--Wil Cunningham's profile at the University of Toronto
--Uli Schimmack's profile at the University of Toronto
--Project Implicit website
--Schimmack (2019), The Implicit Association Test: A method in search of a construct, Perspectives on Psychological Science
--link to a free version of the paper, housed at Schimmack's site
--Cunningham, Preacher, & Banaji (2001). Implicit attitude measures: Consistency, stability, and convergent validity. Psychological Science