The DOI matches its Crossref record; 462 of the 464 references it cites were found in a registry or an index.
A meta-analysis of procedures to change implicit measures
Open accessPublished version of a preprint
Abstract
s| < .30). Most studies focused on producing short-term changes with brief, single-session manipulations. Procedures that associate sets of concepts, invoke goals or motivations, or tax mental resources changed implicit measures the most, whereas procedures that induced threat, affirmation, or specific moods/emotions changed implicit measures the least. Bias tests suggested that implicit effects could be inflated relative to their true population values. Procedures changed explicit measures less consistently and to a smaller degree than implicit measures and generally produced trivial changes in behavior. Finally, changes in implicit measures did not mediate changes in explicit measures or behavior. Our findings suggest that changes in implicit measures are possible, but those changes do not necessarily translate into changes in explicit measures or behavior. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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
“especially given the lack of evidence in the effectiveness of Diversity, Equity, and Inclusion initiatives (DEI; Paluck et al., 2021;Forscher et al., 2019;Lai et al., 2016).”
From The state of evidence for social and emotional learning: A contemporary meta-analysis of universal school-based SEL interventions (2023) · cites this paper as Forscher et al., 2019
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
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
James, W. (1891) · Personality Culture Society · doi:10.1037/11059-000 · Cited by 25,876
(2011) · Cited by 14,317
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
The weirdest people in the world?
Henrich, J., Heine, S. J., & Norenzayan, A. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0999152x · Cited by 12,641
Wasserman, S. S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,377
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
Research works printed but not linked: 42
- Agustin AA, & Francisco VGJ (2008). Analysing the effects of mortality salience on prejudice and decision-taking In Olson FM (Ed.), New Developments in the Psychology of Motivation (pp. 53– 65). Nova Science Publishers. * Contains data used in the meta-analysis.
- Asgari S (2004). The malleability of stereotypic beliefs: Combating implicit stereotypes about ingroups and the self. Unpublished dissertation. * Contains data used in the meta-analysis.
- Axt JR, Nguyen H, & Nosek BA (2018). The Judgment Bias Task: A flexible method for assessing individual differences in social judgment biases. Journal of Experimental Social Psychology, 76, 337– 355.
- Brown RD (2004). Lateral inhibition goes social: Reducing the expression of the attractiveness stereotype. Unpublished Dissertation. * Contains data used in the meta-analysis.
- Cain TR (2012). Fear bias: The impact of incidental fear on explicit and implicit risk perception. Unpublished dissertation. * Contains data used in the meta-analysis.
- Canadas E, Lupianez J, Rodriguez R, Bayliss AP, & Tipper SP (2007). I like you more if you look where I should: Gaze cueing and implicit prejudice change. Unpublished thesis. * Contains data used in the meta-analysis.
- Carpenter SJ (2001). Implicit gender attitudes. Unpublished dissertation. * Contains data used in the meta-analysis.
- Cicchirillo VJ (2009). The effects of priming racial stereotypes through violent video games Unpublished dissertation. * Contains data used in the meta-analysis.
- Cooper J (2007). Cognitive dissonance: 50 years of a classic theory. Thousand Oaks, CA: Sage Publications.
- Correll J (2005). Context, race and danger: The relationship between threat perception and the decision to shoot. Unpublished dissertation. * Contains data used in the meta-analysis.
- Covin R (2008). Beyond the Emotion-Congruent Effect. Unpublished dissertation. * Contains data used in the meta-analysis.
- Culhane EN (2012). The trainability of cross-cultural competence and the examination of the affective component. Unpublished dissertation. * Contains data used in the meta-analysis.
- Curl LS (2002). Can we reduce our latent prejudice? An examination of the Asian Cultural Assimilator with the use of the Implicit Association Test. Unpublished dissertation. * Contains data used in the meta-analysis.
- Dasgupta N (2009). 13 mechanisms underlying the malleability of implicit prejudice and stereotypes: The role of automaticity and cognitive control In Nelson TD (Ed.), Handbook of prejudice, stereotyping, and discrimination (pp. 267– 284). New York, NY: Psychology Press.
- Duff KJ (1999). Controlling unwanted prejudice: Does practice make perfect? Unpublished dissertation. * Contains data used in the meta-analysis.
- Felix KJ (2014). Inter-religious relationships and anxiety in the regulation of automatic inter-religious prejudice. Unpublished dissertation. * Contains data used in the meta-analysis.
- Ferguson MJ, Zhang Y, & Fishbach A (2015). How motivation shapes meaning: The effects of implicit object construal. Unpublished dissertation. * Contains data used in the meta-analysis.
- Franklin JC (2014). The nature, development, and reversal of positive attitudes toward nonsuicidal self-injury: Implications for prediction and treatment. Unpublished dissertation. * Contains data used in the meta-analysis.
- Galinsky AD (1999). Perspective-taking: Debiasing social thought. Unpublished dissertation. * Contains data used in the meta-analysis.
- Goodall CE (2010). Automatic attitude activation: Studies on processing and effects of alcohol advertisements and public service announcements. Unpublished dissertation. * Contains data used in the meta-analysis.
- Harper JC (2010). Modification of weight bias: Examining the effects of social influence on the expression of anti-fat attitudes. Unpublished dissertation. * Contains data used in the meta-analysis.
- Harris SE (1998). The linguistic intergroup bias: are differential expectations moderated by social identity concerns? Unpublished dissertation. * Contains data used in the meta-analysis.
- Hetts JJ (1999). Self-evaluations under fire: Implicit self-regard and explicit self-esteem in the face of failure. Unpublished dissertation. * Contains data used in the meta-analysis.
- Janis IB (2009). Approach/avoidance training to reduce health risk behaviors. Unpublished dissertation. * Contains data used in the meta-analysis.
- Lambert AE (2011). On attentional control and the elderly driving stereotype. Unpublished dissertation. * Contains data used in the meta-analysis.
- Martijn C, Sheeran P, Wesseldijk LW, Merrick H, Webb TL, Roefs A & Jansen A (2013). Evaluative conditioning makes slim models less desirable as standards for comparison and increases body satisfaction. Health Psychology, 32, 433– 438. 22612560 * Contains data used in the meta-analysis.
- Matheus CC (2010). Assessing interventions for reducing gender-based occupational stereotypes: A multi-method study comparing the implicit association test to indirect and explicit measures of stereotypes, and an examination of sex roles and entity versus incremental lay theories of social perception. Unpublished dissertation. * Contains data used in the meta-analysis.
- Mellott DS (2003). Measuring implicit attitudes and stereotypes: Increasing internal consistency reveals the convergent validity of IAT and priming measures. Unpublished dissertation. * Contains data used in the meta-analysis.
- Mendoza SA (2010). Planning Careful Responses to Racial Cues: The Effects of Implementation Intentions on Intergroup Bias. Unpublished dissertation. * Contains data used in the meta-analysis.
- Miramontez DR (2010). Examining implicit acculturation and bicultural identity integration. Unpublished dissertation. * Contains data used in the meta-analysis.
- Perugini M, Richetin J, & Zogmaister C (2010). Prediction of behavior In Gawronski B & Payne BK (Eds.), Handbook of implicit social cognition: Measurement, theory, and applications (pp. 255– 277). New York, NY: Guilford.
- Rabbitt SM (2012). The role of stress in parental perceptions of child noncompliance. Unpublished dissertation. * Contains data used in the meta-analysis.
- Rosenthal R (1979). The file drawer problem and tolerance for null results. Psychological Bulletin, 86, 638– 641.
- Schlenkermann RS (2007). Negative evaluative conditioning of implicit smoking attitudes as an avenue toward cessation. Unpublished dissertation. * Contains data used in the meta-analysis.
- Scott-Sheldon LA (2006). Implicit-explicit ambivalent attitudes and health behaviors. Unpublished dissertation. * Contains data used in the meta-analysis.
- Seger CR (2010). Literal intergroup contact: Embodied relational cues and the reduction of intergroup bias. Unpublished dissertation. * Contains data used in the meta-analysis.
- Soderberg CK, & Sherman JW (2011). The hidden costs of multiculturalism: Can celebrating our differences lead to greater discrimination? Unpublished dissertation. * Contains data used in the meta-analysis.
- Spalding LR (1998). The hidden costs of attributional ambiguity: How experiencing discrimination affects implicit self-esteem. Unpublished dissertation. * Contains data used in the meta-analysis.
- Stephan WG, & Stephan CW (2000). An integrated threat theory of prejudice In Oskamp S (Ed.), Reduce prejudice and discrimination (pp. 23– 46). Mahwah, NJ: Lawrence Erlbaum Associates.
- Sumner MD (2003). Nonconscious routes for avoiding stereotypic rebound: A focus on chronic egalitarian motivation and implementation intentions. Unpublished dissertation.
- Taylor A (2011). The influence of target race on split-second shooting decisions in simulated scenarios: a Canadian perspective. Unpublished dissertation. * Contains data used in the meta-analysis.
- Wagar BM (2006). The good and the bad of affective guidance: Insights from the influence of automatic racial prejudice on complex decisions under uncertainty. Unpublished dissertation. * Contains data used in the meta-analysis.
Cited by
Sorted by citations
Reducing Prejudice and Discrimination
(2013) · Psychology Press eBooks · doi:10.4324/9781410605634 · Cited by 1,133
Prejudice Reduction: Progress and Challenges
Paluck, E. L., Porat, R., Clark, C. S., & Green, D. P. (2021) · Annual Review of Psychology · doi:10.1146/annurev-psych-071620-030619 · Cited by 686
Cipriano, C., Strambler, M. J., Naples, L. H., Ha, C., Kirk, M., Wood, M., Sehgal, K., Zieher, A. K., Eveleigh, A., McCarthy, M., et al. (2023) · Child Development · doi:10.1111/cdev.13968 · Cited by 636
FitzGerald, C., Martin, A., Berner, D., & Hurst, S. (2019) · BMC Psychology · doi:10.1186/s40359-019-0299-7 · Cited by 477
Gender bias in academia: A lifetime problem that needs solutions
Llorens, A., Tzovara, A., Bellier, L., Bhaya-Grossman, I., Bidet‐Caulet, A., Chang, W. K., Cross, Z. R., Dominguez-Faus, R., Flinker, A., Fonken, Y. M., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.06.002 · Cited by 427
Early Childhood Adversity, Toxic Stress, and the Impacts of Racism on the Foundations of Health
Shonkoff, J. P., Slopen, N. B., & Williams, D. R. (2021) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-090419-101940 · Cited by 394
Determinants of behaviour and their efficacy as targets of behavioural change interventions
Albarracín, D., Farkhad, B. F., & Samayoa, J. A. G. (2024) · Nature Reviews Psychology · doi:10.1038/s44159-024-00305-0 · Cited by 313
Breaking the prejudice habit: Mechanisms, timecourse, and longevity
Forscher, P. S., Mitamura, C., Dix, E. L., Cox, W. T. L., & Devine, P. G. (2017) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2017.04.009 · Cited by 264
Self-citationFadus, M. C., Ginsburg, K. R., Sobowale, K., Halliday‐Boykins, C. A., Bryant, B. E., Gray, K. M., & Squeglia, L. M. (2019) · Academic Psychiatry · doi:10.1007/s40596-019-01127-6 · Cited by 279
Moving Beyond Implicit Bias Training: Policy Insights for Increasing Organizational Diversity
Onyeador, I. N., Hudson, S. T. J., & Lewis, N. A. (2021) · Policy Insights from the Behavioral and Brain Sciences · doi:10.1177/2372732220983840 · Cited by 272
Diversity Training Goals, Limitations, and Promise: A Review of the Multidisciplinary Literature
Devine, P. G., & Ash, T. L. (2021) · Annual Review of Psychology · doi:10.1146/annurev-psych-060221-122215 · Cited by 293
Self-citationImplicit bias reflects systemic racism
Payne, B. K., & Hannay, J. W. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.08.001 · Cited by 188
Corneille, O., & Hütter, M. (2020) · Personality and Social Psychology Review · doi:10.1177/1088868320911325 · Cited by 206
Reducing Prejudice and Discrimination
(2016) · Routledge eBooks · doi:10.4324/9781315623849-20 · Cited by 181
A call for grounding implicit bias training in clinical and translational frameworks
Hagiwara, N., Kron, F. W., Scerbo, M. W., & Watson, G. S. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30846-1 · Cited by 180
Cultural awareness workshops: limitations and practical consequences
Shepherd, S. M. (2019) · BMC Medical Education · doi:10.1186/s12909-018-1450-5 · Cited by 203
Racial Disparities in the Criminal Justice System: Prevalence, Causes, and a Search for Solutions
Kovera, M. B. (2019) · Journal of Social Issues · doi:10.1111/josi.12355 · Cited by 190
The Vicious Cycle Linking Stereotypes and Social Roles
Eagly, A. H., & Koenig, A. M. (2021) · Current Directions in Psychological Science · doi:10.1177/09637214211013775 · Cited by 197
Patterns of Implicit and Explicit Stereotypes III: Long-Term Change in Gender Stereotypes
Charlesworth, T. E. S., & Banaji, M. R. (2021) · Social Psychological and Personality Science · doi:10.1177/1948550620988425 · Cited by 185
Gender stereotypes are reflected in the distributional structure of 25 languages
Lewis, M. L., & Lupyan, G. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0918-6 · Cited by 145
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-reports are better measurement instruments than implicit measures
Corneille, O., & Gawronski, B. (2024) · Nature Reviews Psychology · doi:10.1038/s44159-024-00376-z · Cited by 191
Mitigating gender bias in student evaluations of teaching
Peterson, D. A. M., Biederman, L., Andersen, D. J., Ditonto, T., & Roe, K. J. (2019) · PLoS ONE · doi:10.1371/journal.pone.0216241 · Cited by 140
The Future of Women in Psychological Science
Gruber, J., Mendle, J., Lindquist, K. A., Schmader, T., Clark, L. A., Bliss‐Moreau, E., Akinola, M., Atlas, L. Y., Barch, D. M., Barrett, L. F., et al. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691620952789 · Cited by 164
Liao, S., & Huebner, B. (2020) · Philosophy and Phenomenological Research · doi:10.1111/phpr.12701 · Cited by 146
Clark, C. J., & Winegard, B. M. (2020) · Psychological Inquiry · doi:10.1080/1047840x.2020.1721233 · Cited by 128
Reducing Prejudice and Discrimination
Turner, R. N. (2020) · Oxford Research Encyclopedia of Psychology · doi:10.1093/acrefore/9780190236557.013.313 · Cited by 128
Odugbesan, O., Addala, A., Nelson, G., Hopkins, R., Cossen, K., Schmitt, J. A., Indyk, J. A., Jones, N. Y., Agarwal, S., Rompicherla, S., et al. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2022.0042 · Cited by 113
Men, women and STEM: Why the differences and what should be done?
Stewart-Williams, S., & Halsey, L. G. (2021) · European Journal of Personality · doi:10.1177/0890207020962326 · Cited by 117
Exposure to peers’ pro-diversity attitudes increases inclusion and reduces the achievement gap
Murrar, S., Campbell, M. R., & Bräuer, M. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0899-5 · Cited by 126
If you want to develop an effective autism training, ask autistic students to help you
Gillespie-Lynch, K., Bisson, J. B., Saade, S., Obeid, R., Kofner, B., Harrison, A. J., Daou, N., Tricarico, N., Santos, J. D., Pinkava, W., et al. (2021) · Autism · doi:10.1177/13623613211041006 · Cited by 101
Age Differences in Explicit and Implicit Age Attitudes Across the Life Span
Chopik, W. J., & Giasson, H. L. (2017) · The Gerontologist · doi:10.1093/geront/gnx058 · Cited by 113
Twenty-Five Years of Research Using Implicit Measures
Gawronski, B., Houwer, J. D., & Sherman, J. W. (2020) · Social Cognition · doi:10.1521/soco.2020.38.supp.s1 · Cited by 114
Hagger, M. S., & Hamilton, K. (2025) · Journal of Behavioral Medicine · doi:10.1007/s10865-024-00545-8 · Cited by 163
Alcañíz, M., Marín‐Morales, J., Minissi, M. E., Garcia, G. T., Abad, L., & Giglioli, I. A. C. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9051260 · Cited by 100
Twelve tips for teaching implicit bias recognition and management
González, C. M., Lypson, M. L., & Sukhera, J. I. (2021) · Medical Teacher · doi:10.1080/0142159x.2021.1879378 · Cited by 91
Understanding Implicit Bias: Putting the Criticism into Perspective
Brownstein, M., Madva, A., & Gawronski, B. (2020) · Pacific philosophical quarterly · doi:10.1111/papq.12302 · Cited by 98
Psychological Determinants of Health Behavior
Hagger, M. S. (2024) · Annual Review of Psychology · doi:10.1146/annurev-psych-020124-114222 · Cited by 99
Can we reduce facial biases? Persistent effects of facial trustworthiness on sentencing decisions
Jaeger, B., Todorov, A. T., Evans, A. M., & van Beest, I. (2020) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2020.104004 · Cited by 95
Interventions to change well‐anchored attitudes in the context of intergroup conflict
Bar‐Tal, D., & Hameiri, B. (2020) · Social and Personality Psychology Compass · doi:10.1111/spc3.12534 · Cited by 81
Lai, C. K., & Lisnek, J. A. (2023) · Psychological Science · doi:10.1177/09567976221150617 · Cited by 98
Self-citationMindfulness and intergroup bias: A systematic review
Oyler, D. L., Price‐Blackshear, M. A., Pratscher, S. D., & Bettencourt, B. A. (2021) · Group Processes & Intergroup Relations · doi:10.1177/1368430220978694 · Cited by 84
Alcañíz, M., Giglioli, I. A. C., Marín‐Morales, J., Higuera-Trujillo, J. L., Olmos-Raya, E., Minissi, M. E., Garcia, G. T., Sirera, M., & Abad, L. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00090 · Cited by 79
Implicit Bias as Mental Imagery
Nánay, B. (2021) · Journal of the American Philosophical Association · doi:10.1017/apa.2020.29 · Cited by 71
Overcoming Resistance to Change: Using Narratives to Create More Positive Intergroup Attitudes
Murrar, S., & Bräuer, M. (2019) · Current Directions in Psychological Science · doi:10.1177/0963721418818552 · Cited by 70
Minissi, M. E., Giglioli, I. A. C., Mantovani, F., & Alcañíz, M. (2021) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-021-05106-5 · Cited by 77
Engineering Equity: How AI Can Help Reduce the Harm of Implicit Bias
Lin, Y.-T., Hung, T.-W., & Huang, L. T.-L. (2020) · Philosophy & Technology · doi:10.1007/s13347-020-00406-7 · Cited by 79
Anomalies in implicit attitudes research
Machery, É. (2021) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1569 · Cited by 70
What we can (and can’t) infer about implicit bias from debiasing experiments
Byrd, N. (2019) · Synthese · doi:10.1007/s11229-019-02128-6 · Cited by 67
Advancing Workplace Diversity Through the Culturally Responsive Teamwork Framework
Hopf, S., Crowe, K. M., Verdon, S. E., et al. (2021) · American Journal of Speech-Language Pathology · doi:10.1044/2021_ajslp-20-00380 · Cited by 65
Batruch, A., Geven, S., Kessenich, E., & van de Werfhorst, H. G. (2022) · Teaching and Teacher Education · doi:10.1016/j.tate.2022.103985 · Cited by 77
Why Antibias Interventions (Need Not) Fail
Schmader, T., Dennehy, T. C., & Baron, A. S. (2022) · Perspectives on Psychological Science · doi:10.1177/17456916211057565 · Cited by 73
Implicit Transgender Attitudes Independently Predict Beliefs About Gender and Transgender People
Axt, J. R., Conway, M. A., Westgate, E. C., & Buttrick, N. R. (2020) · Personality and Social Psychology Bulletin · doi:10.1177/0146167220921065 · Cited by 58
Self-citationÁlvarez, K., Cervantes, P. E., Nelson, K. L., Seag, D. E. M., Horwitz, S. M., & Hoagwood, K. (2021) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2021.12.006 · Cited by 64
A scalable empathic-mindset intervention reduces group disparities in school suspensions
Okonofua, J. A., Goyer, J. P., Lindsay, C. A., Haugabrook, J., & Walton, G. M. (2022) · Science Advances · doi:10.1126/sciadv.abj0691 · Cited by 57
Those designing healthcare algorithms must become actively anti-racist
Owens, K., & Walker, A. N. (2020) · Nature Medicine · doi:10.1038/s41591-020-1020-3 · Cited by 56
Gender Bias in Stem Hiring: Implicit In-Group Gender Favoritism Among Men Managers
Friedmann, E., & Efrat‐Treister, D. (2022) · Gender & Society · doi:10.1177/08912432221137910 · Cited by 63
Adversarial Collaboration: The Next Science Reform
Clark, C. J., & Tetlock, P. E. (2023) · Springer eBooks · doi:10.1007/978-3-031-29148-7_32 · Cited by 60
Moreu, G., Isenberg, N., & Bräuer, M. (2021) · Frontiers in Education · doi:10.3389/feduc.2021.668250 · Cited by 71
VR Disability Simulation Reduces Implicit Bias Towards Persons With Disabilities
Chowdhury, T. I., Ferdous, S. M. S., & Quarles, J. P. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2958332 · Cited by 50
Influencer-Generated Reference Groups
Lee, J. K., & de Fortuny, E. J. (2021) · Journal of Consumer Research · doi:10.1093/jcr/ucab056 · Cited by 53
Stone, J., Moskowitz, G. B., Zestcott, C. A., & Wolsiefer, K. J. (2019) · Stigma and Health · doi:10.1037/sah0000179 · Cited by 52
Implicit Bias ≠ Bias on Implicit Measures
Gawronski, B., Ledgerwood, A., & Eastwick, P. W. (2022) · Psychological Inquiry · doi:10.1080/1047840x.2022.2106750 · Cited by 56
The Urgency of Now: Rethinking and Improving Assessment Practices in Medical Education Programs
Holmboe, E. S., Osman, N. Y., Murphy, C. M., & Kogan, J. R. (2023) · Academic Medicine · doi:10.1097/acm.0000000000005251 · Cited by 45
Teachers’ race and gender biases and the moderating effects of their beliefs and dispositions
Copur‐Gencturk, Y., Thacker, I., & Cimpian, J. R. (2023) · International Journal of STEM Education · doi:10.1186/s40594-023-00420-z · Cited by 57
Intergroup anxiety effects on implicit racial evaluation and stereotyping.
Amodio, D. M., & Hamilton, H. (2012) · Emotion · doi:10.1037/a0029016 · Cited by 44
Metinyurt, T., Haynes-Baratz, M. C., & Bond, M. A. (2021) · New Ideas in Psychology · doi:10.1016/j.newideapsych.2021.100879 · Cited by 48
Hayes, T. L., Kaylor, L. E., & Oltman, K. A. (2020) · Industrial and Organizational Psychology · doi:10.1017/iop.2019.84 · Cited by 43
Social Exclusion and Ethnic Segregation in Schools: The Role of Teachers' Ethnic Prejudice
Alan, Ş., Duysak, E., Kubilay, E., & Mumcu, I. (2021) · The Review of Economics and Statistics · doi:10.1162/rest_a_01111 · Cited by 43
Body swapping with a Black person boosts empathy: Using virtual reality to embody another
Thériault, R., Olson, J. A., Krol, S. A., & Raz, A. (2021) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218211024826 · Cited by 48
Crone, C., & Kallen, R. W. (2022) · PLoS ONE · doi:10.1371/journal.pone.0269430 · Cited by 46
Stuck on Intergroup Attitudes: The Need to Shift Gears to Change Intergroup Behaviors
Bräuer, M. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916231185775 · Cited by 50
Hammond, A., Matulevich, E. C. R., Beegle, K., & Kumaraswamy, S. K. (2020) · World Bank, Washington, DC eBooks · doi:10.1596/34317 · Cited by 45
Fasolo, B., Heard, C. L., & Scopelliti, I. (2024) · Journal of Management · doi:10.1177/01492063241287188 · Cited by 41
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
Attitudes from mere co-occurrences are guided by differentiation.
Alves, H., Högden, F., Gast, A., Aust, F., & Unkelbach, C. (2020) · Journal of Personality and Social Psychology · doi:10.1037/pspa0000193 · Cited by 44
Perry, S., Wu, D. J., Abaied, J. L., Skinner, A. L., Sánchez, S., Waters, S. F., & Osnaya, A. (2024) · Developmental Psychology · doi:10.1037/dev0001703 · Cited by 45
The Isolated Choice Effect and Its Implications for Gender Diversity in Organizations
Chang, E. H., Kirgios, E. L., Rai, A., & Milkman, K. L. (2020) · Management Science · doi:10.1287/mnsc.2019.3533 · Cited by 42
Applied Racial/Ethnic Healthcare Disparities Research Using Implicit Measures
Hagiwara, N., Dovidio, J. F., Stone, J., & Penner, L. A. (2020) · Social Cognition · doi:10.1521/soco.2020.38.supp.s68 · Cited by 41
Encouraging Multiculturalism and Diversity within Organizational Behavior Management
Akpapuna, M., Choi, E., Johnson, D. A., & Lopez, J. A. (2020) · Journal of Organizational Behavior Management · doi:10.1080/01608061.2020.1832014 · Cited by 47
Nelson, L. K., & Zippel, K. S. (2021) · Gender & Society · doi:10.1177/08912432211000335 · Cited by 57
Kudesia, R. S. (2021) · Organization Science · doi:10.1287/orsc.2020.1426 · Cited by 36
Cox, W. T. L. (2022) · Management Decision · doi:10.1108/md-06-2021-0839 · Cited by 45
Cultural evolutionary behavioural science in public policy
Schimmelpfennig, R., & Muthukrishna, M. (2023) · Behavioural Public Policy · doi:10.1017/bpp.2022.40 · Cited by 36
Re-assessing the incremental predictive validity of Implicit Association Tests
Buttrick, N. R., Axt, J. R., Ebersole, C. R., & Huband, J. M. (2020) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2019.103941 · Cited by 34
Self-citationChang, D. F., Donald, J. N., Whitney, J. M., Miao, I. Y., & Sahdra, B. K. (2023) · Personality and Social Psychology Bulletin · doi:10.1177/01461672231178518 · Cited by 35
Facial Stereotype Bias Is Mitigated by Training
Chua, K.-W., & Freeman, J. B. (2020) · Social Psychological and Personality Science · doi:10.1177/1948550620972550 · Cited by 36
Peck, T. C., Good, J. J., & Seitz, K. R. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3067767 · Cited by 32
Conversational Silencing of Racism in Psychological Science: Toward Decolonization in Practice
Durrheim, K. L. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916231182922 · Cited by 32
Vitriol, J. A., & Moskowitz, G. B. (2021) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2021.104165 · Cited by 35
Open Minded: Searching for Truth about the Unconscious Mind
Newell, B. R., & Shanks, D. R. (2023) · doi:10.7551/mitpress/14922.001.0001 · Cited by 17
Measuring implicit intergroup biases
Lai, C. K., & Wilson, M. E. (2020) · Social and Personality Psychology Compass · doi:10.1111/spc3.12573 · Cited by 41
Self-citationBlack lives matter: On the denial of systemic racism, White liberals, and polite racism
Ng, E. S., & Lam, A. (2020) · Equality Diversity and Inclusion An International Journal · doi:10.1108/edi-09-2020-297 · Cited by 31
Okoro, O. N., Hillman, L. A., & Cernasev, A. (2021) · Ethnicity and Health · doi:10.1080/13557858.2021.1899138 · Cited by 39
Racism and Cardiology: A Global Call to Action
Banerjee, S., Cader, F. A., Gulati, M., & Capers, Q. (2021) · CJC Open · doi:10.1016/j.cjco.2021.09.014 · Cited by 32
AI and discriminative decisions in recruitment: Challenging the core assumptions
Seppälä, P., & Małecka, M. (2024) · Big Data & Society · doi:10.1177/20539517241235872 · Cited by 85
Easton, C., & Verdon, S. E. (2021) · American Journal of Speech-Language Pathology · doi:10.1044/2021_ajslp-20-00382 · Cited by 30
Implicit attitudes and the ability argument
Buckwalter, W. (2018) · Philosophical Studies · doi:10.1007/s11098-018-1159-7 · Cited by 32
Reflecting on 25 Years of Research Using Implicit Measures: Recommendations for Their Future Use
Dessel, P. V., Cummins, J. D., Hughes, S., Kasran, S., Cathelyn, F., & Moran, T. (2020) · Social Cognition · doi:10.1521/soco.2020.38.supp.s223 · Cited by 36
How should we think about implicit measures and their empirical “anomalies”?
Gawronski, B., Brownstein, M., & Madva, A. (2022) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1590 · Cited by 30
Metadata
- Authors
- Forscher, P. S., Lai, C. K., Axt, J. R., Ebersole, C. R., Herman, M., Devine, P. G., & Nosek, B. A.
- ORCID
- Venue
- Journal of Personality and Social Psychology
- Published
- 2019-09
- Volume
- 117
- Issue
- 3
- Pages
- 522-559
- ISSN
- 0022-3514 (ISSN-L)
- 1939-1315
- PMC
- PMC6687518
- OpenAlex
- W2779953302
- Cited by
- 700
- References
- 464
- Citations by year
- 2026: 96 · 2025: 86 · 2024: 121 · 2023: 106 · 2022: 98 · 2021: 91 · 2020: 71 · 2019: 19
- FWCI
- 18.10
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Personality and Social Psychology (publishedVersion, other-oa)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Journal of the Arkansas Academy of Science (submittedVersion, cc-by-nd)
- Funders
- National Institutes of Health (5R01GM111002-02)
- Topics
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Social Sciences › Psychology › Social Psychology › Deception detection and forensic psychology
- Keywords
- implicit measures, explicit measures, implicit bias, mood induction, behavior change
- MeSH terms
- Network Meta-Analysis, Humans, Psychological Tests, Psychology, Social, Social Perception
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