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Best research practices for using the Implicit Association Test

Greenwald, Anthony G. and Brendl, C. Miguel and Cai, Huajian and Cvencek, Dario and Dovidio, John F. and Friese, Malte and Hahn, Adam and Hehman, Eric and Hofmann, Wilhelm and Hughes, Sean and Hussey, Ian and Jordan, Christian and Kirby, Teri A. and Lai, Calvin K. and Lang, Jonas W. B. and Lindgren, Kristen P. and Maison, Dominika and Ostafin, Brian D. and Rae, James R. and Ratliff, Kate A. and Spruyt, Adriaan and Wiers, Reinout W.. (2021) Best research practices for using the Implicit Association Test. Behavior Research Methods. pp. 1-20.

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Official URL: https://edoc.unibas.ch/86211/

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Abstract

Interest in unintended discrimination that can result from implicit attitudes and stereotypes (implicit biases) has stimulated many research investigations. Much of this research has used the Implicit Association Test (IAT) to measure association strengths that are presumed to underlie implicit biases. It had been more than a decade since the last published treatment of recommended best practices for research using IAT measures. After an initial draft by the first author, and continuing through three subsequent drafts, the 22 authors and 14 commenters contributed extensively to refining the selection and description of recommendationworthy research practices. Individual judgments of agreement or disagreement were provided by 29 of the 36 authors and commenters. Of the 21 recommended practices for conducting research with IAT measures presented in this article, all but two were endorsed by 90% or more of those who felt knowledgeable enough to express agreement or disagreement; only 4% of the totality of judgments expressed disagreement. For two practices that were retained despite more than two judgments of disagreement (four for one, five for the other), the bases for those disagreements are described in presenting the recommendations. The article additionally provides recommendations for how to report procedures of IAT measures in empirical articles.
Faculties and Departments:06 Faculty of Business and Economics > Departement Wirtschaftswissenschaften > Professuren Wirtschaftswissenschaften > Marketing (Brendl)
UniBasel Contributors:Brendl, C. Miguel
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Springer
e-ISSN:1554-3528
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:18 May 2022 11:45
Deposited On:18 May 2022 11:45

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