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Best research practices for using the Implicit Association Test
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 bias...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170636/ https://www.ncbi.nlm.nih.gov/pubmed/34519017 http://dx.doi.org/10.3758/s13428-021-01624-3 |
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author | Greenwald, Anthony G. Brendl, Miguel Cai, Huajian Cvencek, Dario Dovidio, John F. Friese, Malte Hahn, Adam Hehman, Eric Hofmann, Wilhelm Hughes, Sean Hussey, Ian Jordan, Christian Kirby, Teri A. Lai, Calvin K. Lang, Jonas W. B. Lindgren, Kristen P. Maison, Dominika Ostafin, Brian D. Rae, James R. Ratliff, Kate A. Spruyt, Adriaan Wiers, Reinout W. |
author_facet | Greenwald, Anthony G. Brendl, Miguel Cai, Huajian Cvencek, Dario Dovidio, John F. Friese, Malte Hahn, Adam Hehman, Eric Hofmann, Wilhelm Hughes, Sean Hussey, Ian Jordan, Christian Kirby, Teri A. Lai, Calvin K. Lang, Jonas W. B. Lindgren, Kristen P. Maison, Dominika Ostafin, Brian D. Rae, James R. Ratliff, Kate A. Spruyt, Adriaan Wiers, Reinout W. |
author_sort | Greenwald, Anthony G. |
collection | PubMed |
description | 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 recommendation-worthy 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. |
format | Online Article Text |
id | pubmed-9170636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-91706362022-06-08 Best research practices for using the Implicit Association Test Greenwald, Anthony G. Brendl, Miguel Cai, Huajian Cvencek, Dario Dovidio, John F. Friese, Malte Hahn, Adam Hehman, Eric Hofmann, Wilhelm Hughes, Sean Hussey, Ian Jordan, Christian Kirby, Teri A. Lai, Calvin K. Lang, Jonas W. B. Lindgren, Kristen P. Maison, Dominika Ostafin, Brian D. Rae, James R. Ratliff, Kate A. Spruyt, Adriaan Wiers, Reinout W. Behav Res Methods Article 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 recommendation-worthy 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. Springer US 2021-09-13 2022 /pmc/articles/PMC9170636/ /pubmed/34519017 http://dx.doi.org/10.3758/s13428-021-01624-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Greenwald, Anthony G. Brendl, Miguel Cai, Huajian Cvencek, Dario Dovidio, John F. Friese, Malte Hahn, Adam Hehman, Eric Hofmann, Wilhelm Hughes, Sean Hussey, Ian Jordan, Christian Kirby, Teri A. Lai, Calvin K. Lang, Jonas W. B. Lindgren, Kristen P. Maison, Dominika Ostafin, Brian D. Rae, James R. Ratliff, Kate A. Spruyt, Adriaan Wiers, Reinout W. Best research practices for using the Implicit Association Test |
title | Best research practices for using the Implicit Association Test |
title_full | Best research practices for using the Implicit Association Test |
title_fullStr | Best research practices for using the Implicit Association Test |
title_full_unstemmed | Best research practices for using the Implicit Association Test |
title_short | Best research practices for using the Implicit Association Test |
title_sort | best research practices for using the implicit association test |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170636/ https://www.ncbi.nlm.nih.gov/pubmed/34519017 http://dx.doi.org/10.3758/s13428-021-01624-3 |
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