title: Understanding and using the brief Implicit Association Test: recommended scoring procedures.
abstract: A brief version of the Implicit Association Test (BIAT) has been introduced. The present research identified analytical best practices for overall psychometric performance of the BIAT. In 7 studies and multiple replications, we investigated analytic practices with several evaluation criteria: sensitivity to detecting known effects and group differences, internal consistency, relations with implicit measures of the same topic, relations with explicit measures of the same topic and other criterion variables, and resistance to an extraneous influence of average response time. The data transformation algorithms D outperformed other approaches. This replicates and extends the strong prior performance of D compared to conventional analytic techniques. We conclude with recommended analytic practices for standard use of the BIAT.
authors.affiliation: University of Virginia, Charlottesville, VA, United States of America; Center for Open Science, Charlottesville, VA, United States of America.
authors.forename: Brian A
authors.initials: BA
authors.lastname: Nosek
authors.affiliation: Ben-Gurion University of the Negev, Beer-Sheva, Israel.
authors.forename: Yoav
authors.initials: Y
authors.lastname: Bar-Anan
authors.affiliation: Implisci, Charlottesville, VA, United States of America.
authors.forename: N
authors.initials: N
authors.lastname: Sriram
authors.affiliation: University of Virginia, Charlottesville, VA, United States of America.
authors.forename: Jordan
authors.initials: J
authors.lastname: Axt
authors.affiliation: University of Washington, Seattle, WA, United States of America.
authors.forename: Anthony G
authors.initials: AG
authors.lastname: Greenwald
mesh_terms: D001290:Attitude; D032882:Comprehension; D005260:Female; D006801:Humans; D008297:Male; D011581:Psychological Tests