Understanding and Using the Brief Implicit Association Test: I. Recommended Scoring Procedures

48 Pages Posted: 3 Jan 2013

See all articles by Brian A. Nosek

Brian A. Nosek

University of Virginia

Yoav Bar-Anan

Ben-Gurion University of the Negev

N. Sriram

University of Virginia

Anthony Greenwald

University of Washington

Date Written: January 3, 2013

Abstract

Sriram and Greenwald (2009) introduced a Brief version of the Implicit Association Test (BIAT). 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. Two data transformation algorithms, G and D, outperformed other approaches. This replicates and extends the strong prior performance of D compared to conventional analytic techniques (Greenwald, Nosek, & Banaji, 2003), and introduces G as a strong analytic method with minimal data treatment. We conclude with recommended analytic practices for standard use of the BIAT.

Keywords: Brief Implicit Association Test, Response Latency, Implicit Cognition, Test Validity

Suggested Citation

Nosek, Brian A. and Bar-Anan, Yoav and Sriram, N. and Greenwald, Anthony, Understanding and Using the Brief Implicit Association Test: I. Recommended Scoring Procedures (January 3, 2013). Available at SSRN: https://ssrn.com/abstract=2196002 or http://dx.doi.org/10.2139/ssrn.2196002

Brian A. Nosek (Contact Author)

University of Virginia ( email )

1400 University Ave
Charlottesville, VA 22903
United States

Yoav Bar-Anan

Ben-Gurion University of the Negev ( email )

1 Ben-Gurion Blvd
Beer-Sheba 84105, 84105
Israel

N. Sriram

University of Virginia ( email )

1400 University Ave
Charlottesville, VA 22903
United States

Anthony Greenwald

University of Washington ( email )

Seattle, WA 98195
United States

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