The DOI matches its Crossref record; 65 of the 66 references it cites were found in a registry or an index, and 1 are not checked yet.
Best research practices for using the Implicit Association Test
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Finally, these attitudes may be explicit (consciously accessible and measurable by self-report) or implicit (largely unconscious and testable through indirect measures (e.g., Implicit Association tasks (IAT), Greenwald et al., 2022)).”
From Are Attributions of Consciousness to AI Chatbots Epistemically Innocent? (2026) · cites this paper as Greenwald et al., 2022
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Measuring individual differences in implicit cognition: the implicit association test
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.74.6.1464 · Cited by 9,210
Self-citationImplicit social cognition: Attitudes, self-esteem, and stereotypes
Greenwald, A. G., & Banaji, M. R. (1995) · Psychological Review · doi:10.1037/0033-295x.102.1.4 · Cited by 6,682
Self-citationUnderstanding and using the Implicit Association Test: I. An improved scoring algorithm.
Greenwald, A. G., Nosek, B. A., & Banaji, M. R. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.85.2.197 · Cited by 5,815
Self-citationA process dissociation framework: Separating automatic from intentional uses of memory
Jacoby, L. L. (1991) · Journal of Memory and Language · doi:10.1016/0749-596x(91)90025-f · Cited by 3,817
On the automatic activation of attitudes.
Fázio, R. H., Sanbonmatsu, D. M., Powell, M. C., & Kardes, F. R. (1986) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.50.2.229 · Cited by 2,584
On the automatic activation of attitudes.
Fazio, R. H., Sanbonmatsu, D. M., Powell, M. C., & Kardes, F. R. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.50.2.229 · Cited by 2,584
(2003) · doi:10.1146/annurev.psych.54.101601.145225 · Cited by 1,829
A unified theory of implicit attitudes, stereotypes, self-esteem, and self-concept.
Greenwald, A. G., Banaji, M. R., Rudman, L. A., Farnham, S. D., Nosek, B. A., & Mellott, D. S. (2002) · Psychological Review · doi:10.1037/0033-295x.109.1.3 · Cited by 1,701
Self-citationGilbert, D. T. (1991) · American Psychologist · doi:10.1037/0003-066x.46.2.107 · Cited by 1,526
Using the implicit association test to measure self-esteem and self-concept
Greenwald, A. G., & Farnham, S. D. (2000) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.79.6.1022 · Cited by 1,393 · cited 1×
“Not me as category labels in self – concept or self – esteem IATs, as an alternative to self vs. other (see Greenwald & Farnham, 2000) .”
BackgroundSelf-citation
Research works printed but not linked: 5
- Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Lawrence Erlbaum Associates Publishers.
- Cvencek, D., Greenwald, A. G., & Meltzoff, A. N. (2012). Balanced identity theory: Evidence for implicit consistency in social cognition. In Gawronski, B., & Strack, F. (Eds.), Cognitive consistency: A unifying concept in social psychology (pp. 157–177). Guilford Press.
- Cvencek, D., et al. (2020). Meta-analytic evaluation of IAT and self-report measures in testing balanced identity theory. Personality and Social Psychology Bulletin, in press.
- Lane, K. A., Banaji, M. R., Nosek, B. A., & Greenwald, A. G. (2007). Understanding and using the Implicit Association Test: IV. What we know (so far) (Pp. 59–102). In B. Wittenbrink & N. S. Schwarz (Eds.). Implicit measures of attitudes: Procedures and controversies. : Guilford Press.
- Lu, Y. (2016) Can propositions be used in the Implicit Association Test? Undergraduate honors thesis, Department of Psychology, University of Washington.
Cited by
Sorted by citations
Implicit-Bias Remedies: Treating Discriminatory Bias as a Public-Health Problem
Greenwald, A. G., Dasgupta, N., Dovidio, J. F., Kang, J., Moss‐Racusin, C. A., & Teachman, B. A. (2022) · Gothic.net · doi:10.1177/15291006211070781 · Cited by 176
Self-citationPrejudiced against the Machine? Implicit Associations and the Transience of Algorithm Aversion
Turel, O., & Kalhan, S. (2023) · MIS Quarterly · doi:10.25300/misq/2022/17961 · Cited by 166
Racial Implicit Bias and Communication Among Physicians in a Simulated Environment
González, C. M., Ark, T. K., Fisher, M. R., Marantz, P. R., Burgess, D. J., Milan, F. B., Samuel, M. T., Lypson, M. L., Rodríguez, C. J., & Kalet, A. L. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.2181 · Cited by 41
Fundamental issues in epistemic injustice in healthcare
Nielsen, K. M., Nordgaard, J., & Henriksen, M. G. (2025) · Medicine Health Care and Philosophy · doi:10.1007/s11019-025-10259-6 · Cited by 43
Mind the Machines: Applying Implicit Measures of Mind Perception to Social Robotics
Li, Z., Terfurth, L., Woller, J. P., & Wiese, E. (2022) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri53351.2022.9889356 · Cited by 40
Metadata
- Authors
- Greenwald, A. G., Brendl, M., Cai, H., Cvencek, D., Dovidio, J. F., Friese, M., Hahn, A., Hehman, E., Hofmann, W., Hughes, S., Hussey, I., Jordan, C., Kirby, T. A., Lai, C. K., Lang, J. W. B., Lindgren, K. P., Maison, D., Ostafin, B. D., Rae, J. R., Ratliff, K. A., Spruyt, A., & Wiers, R. W.
- Affiliations
- University of Washington (US)
- Chinese Academy of Sciences (CN)
- Yale University (US)
- Saarland University (DE)
- University of Cologne (DE)
- McGill University (CA)
- Ruhr University Bochum (DE)
- Ghent University (BE)
- Wilfrid Laurier University (CA)
- University of Exeter (GB)
- Washington University in St. Louis (US)
- University of Warsaw (PL)
- University of Groningen (NL)
- University of Massachusetts Amherst (US)
- University of Florida (US)
- University of Amsterdam (NL)
- Corresponding author
- Greenwald, Anthony G.
- ORCID
- Venue
- Behavior Research Methods
- Published
- 2021-09-13
- Volume
- 54
- Issue
- 3
- Pages
- 1161-1180
- ISSN
- 1554-351X (ISSN-L)
- 1554-3528
- PMC
- PMC9170636
- OpenAlex
- W3200635405
- Cited by
- 209
- References
- 66
- Citations by year
- 2026: 49 · 2025: 51 · 2024: 50 · 2023: 37 · 2022: 20
- FWCI
- 37.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Behavior Research Methods (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Kölner Universitäts PublikationsServer (Universität zu Köln) (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (acceptedVersion, cc-by)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, cc-by)
- BORIS (University Library Bern) (submittedVersion, cc-by)
- edoc (University of Basel) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Open Research Exeter (University of Exeter) (submittedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Economic and Social Research Council (ES/S00274X/1)
- Topics
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
- Keywords
- Implicit Association Test, implicit bias, implicit attitudes, stereotypes, research best practices, measurement validity, reporting procedures
- MeSH terms
- Association, Attitude, Humans
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review