Understanding and using the brief implicit association test: Recommended scoring procedures

Brian A. Nosek, Yoav Bar-Anan, N. Sriram, Jordan Axt, Anthony G. Greenwald

Research output: Contribution to journalArticlepeer-review

84 Scopus citations

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.

Original languageEnglish
Article numbere110938
JournalPLoS ONE
Volume9
Issue number12
DOIs
StatePublished - 8 Dec 2014

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology (all)
  • Agricultural and Biological Sciences (all)
  • General

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