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13 - IAT Scores, Racial Gaps, and Scientific Gaps

from Section III - Challenges of Research on Implicit Bias

Published online by Cambridge University Press:  aN Invalid Date NaN

By
Lee Jussim ,
Akeela Careem ,
Zach Goldberg ,
Nathan Honeycutt  and
Sean T. Stevens
Edited by
Jon A. Krosnick ,
Tobias H. Stark  and
Amanda L. Scott
Jon A. Krosnick
Affiliation:
Stanford University, California
Tobias H. Stark
Affiliation:
Utrecht University, The Netherlands
Amanda L. Scott
Affiliation:
The Strategy Team, Columbus, Ohio
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Summary

In this chapter we identify scientific gaps research to date regarding the ability of IAT scores to explain real world racial gaps. We use the term “IAT scores” rather than “implicit bias” because, as we show: (1) Implicit bias has no consensual scientific definition; (2) A definition offered by Greenwald (2017) is shown to be logically incoherent and empirically unjustified; (3) Exactly what the IAT measures remains unclear. Nonetheless, meta-analyses have shown that IAT scores predict discrimination to a modest extent. Alternative explanations for gaps are briefly reviewed, highlighting that IAT scores offer only one of many possible such explanations. We then present a series of heuristic models that assume that IAT scores can only explain what is left over, after accounting for other explanations of gaps. This review concludes that IAT scores probably explain a modest portion of those gaps. Even if the IAT captures implicit biases, and those implicit biases were completely eliminated, the extent to which racial gaps would be reduced is minimal. We conclude by arguing that, despite its limitations, the IAT should not be abandoned, but that, even after twenty years, much more research is needed to fully understand what the IAT measures and explains.

Keywords

IATimplicit association testimplicit biasimplicit attitudesimplicit associationsracial biasdiscriminationinequality
Type
Chapter
Information
The Cambridge Handbook of Implicit Bias and Racism , pp. 374 - 411
Publisher: Cambridge University Press
Print publication year: 2025

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References

Arcuri, L., Castelli, L., Galdi, S., et al. (2008). Predicting the vote: Implicit attitudes as predictors of the future behavior of decided and undecided voters. Political Psychology, 29(3), 369–387. https://doi.org/10.1111/j.1467-9221.2008.00635.xCrossRefGoogle Scholar
Arias, E., & Xu, J. Q. (2018). United States life tables, 2015. National Vital Statistics Reports, 67(7).Google ScholarPubMed
Arkes, H. R., & Tetlock, P. E. (2004). Attributions of implicit prejudice, or “Would Jesse Jackson ‘fail’ the Implicit Association Test?” Psychological Inquiry, 15(4), 257–278. https://doi.org/10.1207/s15327965pli1504_01CrossRefGoogle Scholar
Baker, A. (2018, July 18). Confronting Implicit Bias in the New York Police Department. The New York Times. Retrieved from: www.nytimes.com/2018/07/15/nyregion/bias-training-police.htmlGoogle Scholar
Banaji, M. R., & Greenwald, A. G. (2013). Blindspot: Hidden Biases of Good People. New York, NY: Delacorte Press. (Epub).Google Scholar
Benjamin, D. J., Berger, J. O., Johannesson, M., et al. (2018). Redefine statistical significance. Nature Human Behaviour, 2, 6–10. https://doi.org/10.1038/s41562–017-0189-zCrossRefGoogle ScholarPubMed
Bertocchi, G., & Dimico, A. (2014). Slavery, education, and inequality. European Economic Review, 70, 197–209.CrossRefGoogle Scholar
Bertrand, M., & Mullainathan, S. (2004). Are Emily and Greg more employable than Lakisha and Jamal? A field experiment on labor market discrimination. The American Economic Review, 94(4), 991–1013.CrossRefGoogle Scholar
Blanton, H., Jaccard, J., & Burrows, C. N. (2015a). Implications of the Implicit Association Test D-Transformation for Psychological Assessment. Assessment, 22(4), 429–440. https://doi.org/10.1177/1073191114551382CrossRefGoogle ScholarPubMed
Blanton, H., Jaccard, J., Klick, J., et al. (2009). Strong claims and weak evidence: Reassessing the predictive validity of the IAT. Journal of Applied Psychology, 94(3), 567–582. https://doi.org/10.1037/a0014665CrossRefGoogle ScholarPubMed
Blanton, H., Jaccard, J., Strauts, E., et al. (2015b). Toward a meaningful metric of implicit prejudice. Journal of Applied Psychology, 100(5), 1468–1481. https://doi.org/10.1037/a0038379CrossRefGoogle Scholar
Bluemke, M., & Fiedler, K. (2009). Base rate effects on the IAT. Consciousness and Cognition, 18(4), 1029–1038. https://doi.org/10.1016/j.concog.2009.07.010CrossRefGoogle ScholarPubMed
Boutwell, B. B., Nedelec, J. L., Winegard, B., et al. (2017). The prevalence of discrimination across racial groups in contemporary America: Results from a nationally representative sample of adults. PLoS ONE, 12(8), e0183356. https://doi.org/10.1371/journal.pone.0183356CrossRefGoogle ScholarPubMed
Cao, J. & Banaji, M. R. (2016). Base rate principle and fairness principle. Proceedings of the National Academy of Sciences, 113(27), 7475–7480. https://doi.org/10.1073/pnas.1524268113CrossRefGoogle ScholarPubMed
Capers, Q., Clinchot, D., McDougle, L., et al. (2017). Implicit racial bias in medical school admissions. Academic Medicine, 92(3), 365–369. https://doi.org/10.1097/ACM.0000000000001388CrossRefGoogle ScholarPubMed
Centers for Disease Control and Prevention. (2019). Data and statistics on sickle cell disease. Retrieved from: www.cdc.gov/ncbddd/sicklecell/data.html.Google Scholar
Chapman, E. N., Kaatz, A., & Carnes, M. (2013). Physicians and implicit bias: How doctors may unwittingly perpetuate health care disparities. Journal of General Internal Medicine, 28(11), 1504–1510. https://doi.org/10.1007/s11606–013-2441-1CrossRefGoogle ScholarPubMed
Charlesworth, T. E. S., & Banaji, M. R. (2019). Patterns of implicit and explicit attitudes: I. Long-term change and stability from 2007 to 2016. Psychological Science, 30(2), 174–192. https://doi.org/10.1177/0956797618813087CrossRefGoogle ScholarPubMed
Claire, T., & Fiske, S. (1998). A systemic view of behavioral confirmation: Counterpoint to the individualist view. In Sedikedes, C., Schopler, J., & Insko, C. A. (Eds.), Intergroup Cognition and Intergroup Behavior. Mahwah, NJ: Lawrence Erlbaum Associates, pp. 205–231.Google Scholar
Conrey, F. R., Sherman, J. W., Gawronski, B., et al. (2005). Separating multiple processes in implicit social cognition: The quad model of implicit task performance. Journal of Personality and Social Psychology, 89(4), 469–487. https://doi.org/10.1037/0022-3514.89.4.469CrossRefGoogle ScholarPubMed
Cook, T. D., & Campbell, D. T. (1979). Quasi-experimentation: Design and Analysis for Field Settings. Boston, MA: Houghton Mifflin.Google Scholar
Correll, J., Park, B., Judd, C. M., et al. (2002). The police officer’s dilemma: Using ethnicity to disambiguate potentially threatening individuals. Journal of Personality and Social Psychology, 83(6), 1314–1329. https://doi.org/10.1037/0022-3514.83.6.1314CrossRefGoogle ScholarPubMed
Cronbach, L. J., & Furby, L. (1970). How we should measure “change”: Or should we? Psychological Bulletin, 74(1), 68–80. https://doi.org/10.1037/h0029382CrossRefGoogle Scholar
Darolia, R., Koedel, C., Martorell, P., et al. (2016). Race and gender effects on employer interest in job applicants: New evidence from a resume field experiment. Applied Economics Letters, 23(12), 853–856. https://doi.org/10.1080/13504851.2015.1114571CrossRefGoogle Scholar
Dawes, R. M. (1979). The robust beauty of improper linear models in decision making. American psychologist, 34(7), 571–582.CrossRefGoogle Scholar
Department of Justice, Office of Public Affairs. (2016, June 27). Department of Justice Announces New Department-Wide Implicit Bias Training for Personnel [Press Release]. Retrieved from: www.justice.gov/opa/pr/department-justice-announces-new-department-wide-implicit-bias-training-personnel.Google Scholar
De Houwer, J. (2019). Implicit bias is behavior: A cognitive-functional analysis of implicit bias. Perspectives on Psychological Science, 14, 835–840.CrossRefGoogle Scholar
DiPrete, T. A., & Eirich, G. M. (2006). Cumulative advantage as a mechanism for inequality: A review of theoretical and empirical developments. Annual Review of Sociology, 32, 271–297.CrossRefGoogle Scholar
Dragioti, E., Dimoliatis, I., Fountoulakis, K. N., et al. (2015). A systematic appraisal of allegiance effect in randomized controlled trials of psychotherapy. Annals of General Psychiatry, 14. https://doi.org/10.1186_s12991-015-0063-1CrossRefGoogle ScholarPubMed
Duckitt, J. H. (1992). Psychology and prejudice: A historical analysis and integrative framework. American Psychologist, 47(10), 1182–1193.CrossRefGoogle Scholar
Felson, R. B., & Pare, P. (2010). Gun cultures or honor cultures? Explaining regional and race differences in weapon carrying. Social Forces, 88(3), 1357–1378.CrossRefGoogle Scholar
Fiedler, K., Messner, C., & Bluemke, M. (2006). Unresolved problems with the “I,” the “A,” and the “T”: A logical and psychometric critique of the Implicit Association Test (IAT). European Review of Social Psychology, 17(1), 74–147. https://doi.org/10.1080/10463280600681248CrossRefGoogle Scholar
Fontenot, K., Semega, J., & Kollar, M. (2018). Income and poverty in the United States: 2017. U.S. Census Bureau, Current Population Reports, 60–263.Google Scholar
Forscher, P. S., Lai, C. K., Axt, J. R., et al. (2019). A meta-analysis of procedures to change implicit measures. Journal of Personality & Social Psychology, 117(3), 522. https://doi.org/10.31234/osf.io/dv8tuCrossRefGoogle ScholarPubMed
Funder, D. C. (2008). Persons, situations, and person-situation interactions. In John, O. P., Robins, R. W., & Pervin, L. A. (Eds.), Handbook of Personality: Theory and Research. New York, NY: Guilford Press, pp. 568–580.Google Scholar
Glaser, J., & Finn, C. (2013). How and why implicit attitudes should affect voting. Political Science & Politics, 46(3), 537–544. https://doi.org/10.1017/S1049096513000656CrossRefGoogle Scholar
Gonzalez, A. M., Steele, J. R., & Baron, A. S. (2017). Reducing children’s implicit racial bias through exposure to positive out-group exemplars. Child Development, 88(1), 123–130. https://doi.org/10.1111/cdev.12582CrossRefGoogle ScholarPubMed
Gould, S. J. (1981, May). Evolution as fact and theory. Discover magazine.Google Scholar
Gray, N. S., Brown, A. S., MacCulloch, M. J., et al. (2005). An implicit test of the associations between children and sex in pedophiles. Journal of Abnormal Psychology, 114(2), 304–308. https://doi.org/10.1037/0021-843X.114.2.304CrossRefGoogle ScholarPubMed
Green, A. R., Carney, D. R., Pallin, D. J., et al. (2007). Implicit bias among physicians and its prediction of thrombolysis decisions for black and white patients. Journal of General Internal Medicine, 22(9), 1231–1238. https://doi.org/10.1007/s11606–007-0258-5CrossRefGoogle ScholarPubMed
Greenwald, A. G. (2017). Twenty years of research on implicit social cognition. Presented at the September 2017 National Science Foundation Conference on Implicit Bias.Google Scholar
Greenwald, A. G., Banaji, M. R., & Nosek, B. A. (2015). Statistically small effects of the Implicit Association Test can have societally large effects. Journal of Personality and Social Psychology, 108(4), 553–561. http://dx.doi.org/10.1037/pspa0000016CrossRefGoogle ScholarPubMed
Greenwald, A. G., & Krieger, L. (2006). Implicit bias: Scientific foundations. California Law Review, 94(4), 945–967. https://doi.org/10.2307/20439056CrossRefGoogle Scholar
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. (1998). Measuring individual differences in implicit cognition: The implicit association test. Journal of Personality and Social Psychology, 74(6), 1464–1480.CrossRefGoogle ScholarPubMed
Greenwald, A. G., & Nosek, B. A. (2001). Health of the Implicit Association Test at age 3. Experimental Psychology, 48, 85–93. https://doi.org/10.1026//0949-3946.48.2.85CrossRefGoogle ScholarPubMed
Greenwald, A. G., Nosek, B. A., & Banaji, M. R. (2003). Understanding and using the Implicit Association Test: I. An improved scoring algorithm. Journal of Personality and Social Psychology, 85(2), 197–216. https://doi.org/10.1037/0022-3514.85.2.197CrossRefGoogle ScholarPubMed
Greenwald, A. G., Poehlman, T. A., Uhlmann, E. L., et al. (2009). Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity. Journal of Personality and Social Psychology, 97(1), 17–41. https://doi.org/10.1037/a0015575CrossRefGoogle ScholarPubMed
Hahn, A., Judd, C. M., Hirsh, H. K., et al. (2014). Awareness of implicit attitudes. Journal of Experimental Psychology: General, 143(3), 1369–1392. https://doi.org/10.1037/a0035028CrossRefGoogle ScholarPubMed
Heckman, J. J. (1998). Detecting discrimination. Journal of Economic Perspectives, 12, 101–116.CrossRefGoogle Scholar
Hensch, M. (2016, September 26). Clinton: We must fight “implicit bias.” The Hill. Retrieved from https://thehill.com/blogs/ballot-box/presidential-races/297939-clinton-i-think-implicit-bias-is-a-problem-for-everyoneGoogle Scholar
Hinnant, J. B., O’Brien, M., & Ghazarian, S. R. (2009). The longitudinal relations of teacher expectations to achievement in the early school years. Journal of Educational Psychology, 101(3), 662–670. https://doi.org/10.1037/a0014306CrossRefGoogle ScholarPubMed
Hughes, C. (2018, July 19). Black American Culture and the Racial Wealth Gap. Quillette. Retrieved from: https://quillette.com/2018/07/19/black-american-culture-and-the-racial-wealth-gap/Google Scholar
Hyde, J. S. (2005). The gender similarities hypothesis. American Psychologist, 60(6), 581–592.CrossRefGoogle ScholarPubMed
Johnson, D. J., & Chopik, W. J. (2019). Geographic variation in the black-violence stereotype. Social Psychological and Personality Science, 10(3), 287–294. https://doi.org/10.1177/1948550617753522CrossRefGoogle Scholar
Jolls, C., & Sunstein, C. R. (2006). The law of implicit bias. California Law Review, 94, 969.CrossRefGoogle Scholar
Jost, J. T. (2019). The IAT is dead, long live the IAT: Context-sensitive measures of implicit attitudes are indispensable to social and political psychology. Current Directions in Psychological Science, 28(1), 10–19. https://doi.org/10.1177/0963721418797309CrossRefGoogle Scholar
Jost, J. T., Rudman, L. A., Blair, I. V., et al. (2009). The existence of implicit bias is beyond reasonable doubt: A refutation of ideological and methodological objections and executive summary of ten studies that no manager should ignore. Research in Organizational Behavior, 29, 39–69. https://doi.org/10.1016/j.riob.2009.10.001CrossRefGoogle Scholar
Jussim, L. (2012). Social Perception and Social Reality: Why Accuracy Dominates Bias and Self-fulfilling Prophecy. New York, NY: Oxford University Press.CrossRefGoogle Scholar
Jussim, L. & Crawford, J.T. (2018). Possible solutions for a less politicized social psychological science. In Crawford, J. T. & Jussim, L. (Eds.), The Politics of Social Psychology. New York, NY: Routledge, pp. 265–282.Google Scholar
Jussim, L., Crawford, J. T., Anglin, S. M., et al. (2016). Stereotype accuracy: One of the largest and most replicable effects in all of social psychology. In Nelson, T. D. (Ed.), Handbook of Prejudice, Stereotyping, and Discrimination, (2nd ed., pp. 3163). New York, NY: Psychology Press.Google Scholar
Jussim, L., Crawford, J. T., & Rubinstein, R. S. (2015). Stereotype (in)accuracy in perceptions of groups and individuals. Current Directions in Psychological Science, 24(6), 490–497. https://doi.org/10.1177/0963721415605257CrossRefGoogle Scholar
Jussim, L., & Harber, K. D. (2005). Teacher expectations and self-fulfilling prophecies: Knowns and unknowns, resolved and unresolved controversies. Personality and Social Psychology Review, 9(2), 131–155. https://doi.org/10.1207/s15327957pspr0902_3CrossRefGoogle ScholarPubMed
Jussim, L., Stevens, S. T., Careem, A., et al. (2020). How much do IAT scores explain racial gaps? In Forgas, J., Fiedler, K., & Baumeister, R. (Eds.), Applied Social Psychology, The Sydney Symposium on Social Psychology, pp. 312–333. New York, NY: Routledge.Google Scholar
Jussim, L., Stevens, S. T., Honeycutt, N., et al. (2019). Scientific gullibility. In Forgas, J. P. & Baumeister, R. (Eds.), The Social Psychology of Gullibility: Conspiracy Theories, Fake News and Irrational Beliefs. The Sydney Symposium on Social Psychology, pp. 279–303. New York, NY: Routledge.CrossRefGoogle Scholar
Kang, J., & Banaji, M. R. (2006) Fair measures: A behavioral realist revision of “affirmative action.” California Law Review, 94(4), 1063–1118.CrossRefGoogle Scholar
Kang, J., Bennett, M. W., Carbado, D. W., et al. (2012). Implicit bias in the courtroom. UCLA Law Review, 59, 1124–1186.Google Scholar
Kunda, Z., & Thagard, P. (1996). Forming impressions from stereotypes, traits, and behaviors: A parallel-constraint-satisfaction theory. Psychological Review, 103(2), 284–308. https://doi.org/10.1037/0033-295X.103.2.284CrossRefGoogle Scholar
Kurdi, B., Seitchik, A. E., Axt, J. R., et al. (2018). Relationship between the implicit association test and intergroup behavior: A meta-analysis. American Psychologist, 74, 569–586.CrossRefGoogle ScholarPubMed
Lane, K. A., Banaji, M. R., Nosek, B. A., et al. (2007). Understanding and using the Implicit Association Test: IV What we know (so far) about the method. In Wittenbrink, B. & Schwarz, N. (Eds.), Implicit Measures of Attitudes. New York, NY: Guilford Press, pp. 59–102.Google Scholar
LeBel, E. P., & Paunonen, S. P. (2011). Sexy but often unreliable: The impact of unreliability on the replicability of experimental findings with implicit measures. Personality and Social Psychology Bulletin, 37(4), 570–583. https://doi.org/10.1177/0146167211400619CrossRefGoogle ScholarPubMed
Lick, D. J., Alter, A. L., & Freeman, J. B. (2018). Superior pattern detectors efficiently learn, activate, apply, and update social stereotypes. Journal of Experimental Psychology: General, 147(2), 209–227. https://doi.org/10.1037/xge0000349CrossRefGoogle ScholarPubMed
Locksley, A., Borgida, E., Brekke, N., et al. (1980). Sex stereotypes and social judgment. Journal of Personality and Social Psychology, 39(5), 821–831. https://doi.org/10.1037/0022-3514.39.5.821CrossRefGoogle Scholar
Loury, G. C. (1998). An American tragedy: The legacy of slavery lingers in our cities’ ghettos. The Brookings Review, 16(2), 38–42. https://doi.org/10.2307/20080781CrossRefGoogle Scholar
Mackie, M. (1973). Arriving at “truth” by definition: The case of stereotype inaccuracy. Social Problems, 20(4), 431–447. https://doi.org/10.2307/799706CrossRefGoogle Scholar
Madon, S., Jussim, L., Guyll, M., et al. (2018). The accumulation of stereotype-based self-fulfilling prophecies. Journal of Personality and Social Psychology, 115(5), 825–844. https://doi.org/10.1037/pspi0000142CrossRefGoogle ScholarPubMed
March, D. S., & Graham, R. (2015). Exploring implicit ingroup and outgroup bias toward Hispanics. Group Processes & Intergroup Relations, 18(1), 89–103. https://doi.org/10.1177/1368430214542256CrossRefGoogle Scholar
Martel, R. F., Lane, D. M., & Emrich, C. (1996). Male–female differences: A computer simulation. American Psychologist, 51(2), 157–158.CrossRefGoogle Scholar
McConnell, A. R., & Leibold, J. M. (2001). Relations among the Implicit Association Test, discriminatory behavior, and explicit measures of racial attitudes. Journal of Experimental Social Psychology, 37(5), 435–442. https://doi.org/10.1006/jesp.2000.1470CrossRefGoogle Scholar
Mitchell, G. (2018). Jumping to conclusions: Advocacy and application of psychological research. In Crawford, J. T. & Jussim, L. (Eds.), The Politics of Social Psychology. New York, NY: Routledge, pp. 139–155.Google Scholar
Moss-Racusin, C. A., Dovidio, J. F., Brescoll, V. L., et al. (2012). Science faculty’s subtle gender biases favor male students. Proceedings of the National Academy of Sciences, 109(41), 16474–16479.CrossRefGoogle ScholarPubMed
Mundy, L. (2017, April). Why Is Silicon Valley So Awful to Women? The Atlantic. Retrieved from: www.theatlantic.com/magazine/archive/2017/04/why-is-silicon-valley-so-awful-to-women/517788/Google Scholar
Nock, M. K., & Banaji, M. R. (2007). Prediction of suicide ideation and attempts among adolescents using a brief performance-based test. Journal of Clinical and Consulting Psychology, 75(5), 707–715. https://doi.org/10.1037/0022-006X.75.5.707CrossRefGoogle ScholarPubMed
Nosek, B. A., & Lakens, D. (2014). Registered reports: A method to increase the credibility of published results. Social Psychology, 45, 137–141. https://doi.org/10.1027/1864-9335/a000192CrossRefGoogle Scholar
Nosek, B. A., Smyth, F. L., Hansen, J. J., et al. (2007). Pervasiveness and correlates of implicit attitudes and stereotypes. European Review of Social Psychology, 18(1), 1–53. https://doi.org/10.1080/10463280701489053CrossRefGoogle Scholar
Oswald, F. L., Mitchell, G., Blanton, H., et al. (2013). Predicting ethnic and racial discrimination: A meta-analysis of IAT criterion studies. Journal of Personality and Social Psychology, 105(2), 171–192. https://doi.org/10.1037/a0032734CrossRefGoogle ScholarPubMed
Oswald, F. L., Mitchell, G., Blanton, H., et al. (2015). Using the IAT to predict ethnic and racial discrimination: Small effect sizes of unknown societal significance. Journal of Personality and Social Psychology, 108(4), 562–571. https://doi.org/10.1037/pspa0000023CrossRefGoogle ScholarPubMed
Pager, D. (2007). The use of field experiments for studies of employment discrimination: Contributions, critiques, and directions for future research. Annals of the American Academy of Political and Social Science, 609, 104–133.CrossRefGoogle Scholar
Pager, D. & Padulla, D. S. (2015). Race, self-selection, and the job search process. American Journal of Sociology, 120, 1005–1054.CrossRefGoogle ScholarPubMed
Pager, D., & Shepherd, H. (2008). The sociology of discrimination: Racial discrimination in employment, housing, credit, and consumer markets. Annual Review of Sociology, 34, 181–209.CrossRefGoogle ScholarPubMed
Pager, D., Western, B., & Bonikowski, B. (2009). Discrimination in a low-wage labor market: A field experiment. American Sociological Review, 74, 777–799.CrossRefGoogle Scholar
Palfai, T. P., & Ostafin, B. D. (2003). Alcohol-related motivational tendencies in hazardous drinkers: Assessing implicit response tendencies using the modified-IAT. Behaviour Research and Therapy, 41(10), 1149–1162. https://doi.org/10.1016/S0005–7967(03)00018-4CrossRefGoogle ScholarPubMed
Paluck, E., Green, S., & Green, D. (2018). The contact hypothesis re-evaluated. Behavioural Public Policy, 3, 1–30. https://doi.org/10.1017/bpp.2018.25Google Scholar
Payne, B. K., Vuletich, H. A., & Lundberg, K. B. (2017). The bias of crowds: How implicit bias bridges personal and systemic prejudice. Psychological Inquiry, 28(4), 233–248. https://doi.org/10.1080/1047840X.2017.1335568CrossRefGoogle Scholar
Penner, L. A., Dovidio, J. F., Gonzalez, R., et al. (2016). The effects of oncologist implicit racial bias in racially discordant oncology interactions. Journal of Clinical Oncology, 34(24), 2874–2880. https://doi.org/10.1200/JCO.2015.66.3658CrossRefGoogle ScholarPubMed
Pettigrew, T. F., & Tropp, L. R. (2006). A meta-analytic test of intergroup contact theory. Journal of Personality and Social Psychology, 90(5), 751–783. https://doi.org/10.1037/0022-3514.90.5.751CrossRefGoogle ScholarPubMed
Plant, E. A., & Peruche, B. M. (2005). The consequences of race for police officers’ responses to criminal suspects. Psychological Science, 16(3), 180–183. https://doi.org/10.1111/j.0956-7976.2005.00800.xCrossRefGoogle ScholarPubMed
Platt, J. (1964). Strong Inference. Science, 146(3642), 347–353.CrossRefGoogle ScholarPubMed
Potier, B. (2004, December 16). Making case for concept of “implicit prejudice”: Extending the legal definition of discrimination. Harvard University Gazette. Retrieved from: https://news.harvard.edu/gazette/story/2004/12/making-case-for-concept-of-implicit-prejudice/Google Scholar
Quillian, L., Pager, D., Hexel, O., et al. (2017). Meta-analysis of field experiments shows no change in racial discrimination in hiring over time. Proceedings of the National Academy of Sciences, 114(41), 10870–10875.CrossRefGoogle ScholarPubMed
Rachlinski, J. J., Johnson, S. L., Wistrich, A. J., et al. (2009). Does unconscious racial bias affect trial judges? Notre Dame Law Review, 84(3), 1195–1246.Google Scholar
Rae, J. R., Newheiser, A.-K., & Olson, K. R. (2015). Exposure to racial out-groups and implicit race bias in the United States. Social Psychological and Personality Science, 6(5), 535–543. https://doi.org/10.1177/1948550614567357CrossRefGoogle Scholar
Reber, A. S. (1989). Implicit learning and tacit knowledge. Journal of Experimental Psychology: General, 118(3), 219–235. https://doi.org/10.1037/0096-3445.118.3.219CrossRefGoogle Scholar
Rooth, D. (2007). Implicit discrimination in hiring: Real world evidence. IZA Discussion Paper No. 2764. https://ssrn.com/abstract=984432CrossRefGoogle Scholar
Rooth, D. (2010). Automatic associations and discrimination in hiring: Real world evidence. Labour Economics, 17(3), 523–534. https://doi.org/10.1016/j.labeco.2009.04.005CrossRefGoogle Scholar
Rosenthal, R., & Jacobson, L. (1968). Pygmalion in the Classroom: Teacher Expectations and Student Intellectual Development. New York, NY: Holt.CrossRefGoogle Scholar
Rubinstein, R. S., & Jussim, L. (2019). Stimulus pairing and statement target information have equal effects on stereotype-relevant evaluations of individuals. Journal of Theoretical Social Psychology, 3(4), 231–249.CrossRefGoogle Scholar
Rubinstein, R. S., Jussim, L., & Stevens, S. T. (2018). Reliance on individuating information and stereotypes in implicit and explicit person perception. Journal of Experimental Social Psychology, 76, 54–70. https://doi.org/10.1016/j.jesp.2017.11.009CrossRefGoogle Scholar
Rudman, L. A., & Ashmore, R. D. (2007). Discrimination and the implicit association test. Group Processes and Intergroup Relations, 10(3), 359–372. https://doi.org/10.1177/1368430207078696CrossRefGoogle Scholar
Rudman, L. A., & Glick, P. (2001). Prescriptive gender stereotypes and backlash toward agentic women. Journal of Social Issues, 57(4), 743–762. https://doi.org/10.1111/0022-4537.00239CrossRefGoogle Scholar
Ryan, C.L., & Bauman, K. (2016). Educational attainment in the United States: 2015. U.S. Census Bureau, Current Population Reports, 20–578.Google Scholar
Sabin, J. A., & Greenwald, A. G. (2012). The influence of implicit bias on treatment recommendations for 4 common pediatric conditions: Pain, urinary tract infection, attention deficit hyperactivity disorder, and asthma. American Journal of Public Health, 102(5), 988–995. https://doi.org/10.2105/AJPH.2011.300621CrossRefGoogle ScholarPubMed
Schimmack, U. (2019). The implicit association test: A method in search of a construct. Perspectives on Psychological Science, 16(2) 396–414.CrossRefGoogle Scholar
Schwarz, J. (1998, September 29). Roots of unconscious prejudice affect 90 to 95 percent of people, psychologists demonstrate at press conference. University of Washington News. Retrieved from: www.washington.edu/news/1998/09/29/roots-of-unconscious-prejudice-affect-90-to-95-percent-of-people-psychologists-demonstrate-at-press-conference/Google Scholar
Smith, A., Jussim, L., & Eccles, J. (1999). Do self-fulfilling prophecies accumulate, dissipate, or remain stable over time? Journal of Personality and Social Psychology, 77, 548–565.CrossRefGoogle ScholarPubMed
Stanley, D. A., Sokol-Hessner, P., Banaji, M. H., et al. (2011). Implicit race attitudes predict trustworthiness judgments and economic trust decisions. Proceedings of the National Academy of Sciences, 108(19), 7710–7715. https://doi.org/10.1073/pnas.1014345108CrossRefGoogle ScholarPubMed
Sumner, P., Vivian-Griffiths, S., Boivin, J., et al. (2016). Exaggerations and caveats in press releases and health-related science news. PLoS ONE, 11(12), e0168217. https://doi.org/10.1371/journal.pone.0168217CrossRefGoogle ScholarPubMed
Swann, W. B. Jr. (2011). Self-verification theory. In Van Lang, P., Kruglanski, A., & Higgins, E. T. (Eds.), Handbook of Theories of Social Psychology. London: SAGE Publications, pp. 23–42.Google Scholar
Swann, W. B. Jr., & Ely, R. J. (1984). A battle of wills: Self-verification versus behavioral confirmation. Journal of Personality and Social Psychology, 46, 1287–1302.CrossRefGoogle ScholarPubMed
Szalavitz, M. (2010, October 11). The Authentic Self: How Do You Know If You’re ‘Really’ Racist or Sexist? Time. Retrieved from: http://healthland.time.com/2010/10/11/seeking-the-authentic-self-how-do-you-know-if-youre-really-racist-or-sexist/Google Scholar
Talaska, C. A., Fiske, S. T., & Chaiken, S. (2008). Legitimating racial discrimination: Emotions, not beliefs, best predict discrimination in a meta-analysis. Social Justice Research, 21(3), 263–296.CrossRefGoogle Scholar
Teachman, B. A., & Brownell, K. D. (2001). Implicit anti-fat bias among health professionals: Is anyone immune? International Journal of Obesity, 25, 1525–1531. https://doi.org/10.1038/sj.ijo.0801745CrossRefGoogle ScholarPubMed
UCLA Office of Equity, Diversity, & Inclusion. (n.d.). Implicit Bias – UCLA Equity, Diversity & Inclusion. Retrieved from: https://equity.ucla.edu/know/implicit-bias/Google Scholar
van den Bergh, L., Denessen, E., Hornstra, L., et al. (2010). The implicit prejudiced attitudes of teachers: Relations to teacher expectations and the ethnic achievement gap. American Educational Research Journal, 47(2), 497–527. https://doi.org/10.3102/0002831209353594CrossRefGoogle Scholar
von Hippel, W., Brener, L., & von Hippel, C. (2008). Implicit prejudice toward injecting drug users predicts intentions to change jobs among drug and alcohol nurses. Psychological Science, 19(1), 7–11. https://doi.org/10.1111/j.1467-9280.2008.02037.xCrossRefGoogle ScholarPubMed
Walker, P. M., & Hewstone, M. (2007). The influence of social factors and implicit racial bias on a generalized own-race effect. Applied Cognitive Psychology, 22(4), 441–453. https://doi.org/10.1002/acp.1382CrossRefGoogle Scholar
West, C., & Anderson, T. (1976). The question of preponderant causation in teacher expectancy research. Review of Educational Research, 46, 613–630.CrossRefGoogle Scholar
White-Means, S., Dong, Z., Hufstader, M., et al. (2009). Cultural competency, race, and skin tone bias among pharmacy, nursing, and medical students: Implications for addressing health disparities. Medical Care Research and Review, 66(4), 436–455. https://doi.org/10.1177/1077558709333995CrossRefGoogle ScholarPubMed
Wikipedia. (n.d.) Progression of the bench press world record. Retrieved from: https://en.wikipedia.org/wiki/Progression_of_the_bench_press_world_rcordGoogle Scholar
Xiao, W. S., Fu, G., Quinn, P. C., et al. (2014). Individuation training with other-race faces reduces preschoolers’ implicit racial bias: A link between perceptual and social representation of faces in children. Developmental Science, 18(4), 655–663. https://doi.org/10.1111/desc.12241CrossRefGoogle ScholarPubMed
Zigerell, L. J. (2018). Black and White discrimination in the United States: Evidence from an archive of survey experiment studies. Research & Politics (online). https://doi.org/10.1177/2053168017753862CrossRefGoogle Scholar
Zhou, S., Page-Gould, E., Aron, A., et al. (2019). The extended contact hypothesis: A meta-analysis on 20 years of research. Personality and Social Psychology Review, 23(2), 132–160. https://doi.org/10.1177/1088868318762647CrossRefGoogle ScholarPubMed

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