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. https://doi.org/10.1037/pspa0000016CrossRefGoogle 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

Hutchinson, J. B., & Barrett, L. F. (2019). The Power of predictions: An emerging paradigm for psychological research. Current Directions in Psychological Science, 28(3), 280– 291. https://doi.org/10.1177/0963721419831992CrossRefGoogle ScholarPubMed

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(5), 569–586. https://doi.org/10.1037/amp0000364CrossRefGoogle ScholarPubMed

Mitchell, G., & Tetlock, P. E. (2017). Popularity as a poor proxy for utility. In Lilienfeld, S. O. & Waldman, I. D. (Eds.), Psychological Science Under Scrutiny: Recent Challenges and Proposed Solutions (pp. 164– 195). Wiley. https://doi.org/10.1002/9781119095910.ch10CrossRefGoogle Scholar

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

Andreychik, M. R., & Gill, M. J. (2012). Do negative associations indicate negative attitudes? Social explanations moderate whether ostensible “negative” associations are prejudice-based or empathy-based. Journal of Experimental Social Psychology, 48, 1082–1093. https://doi.org/10.1016/jesp.2012.05.006CrossRefGoogle Scholar

Arkes, H. R., & Blumer, C. (1985). The psychology of sunk cost. Organizational Behavior and Human Decision Processes, 35, 124–140.CrossRefGoogle Scholar

Arkes, H. R., & Gaissmaier, W. (2012). Psychological research and the PSA test controversy. Psychological Science, 23, 547–553. https://doi.org/10.1177/0956797612437428CrossRefGoogle Scholar

Arkes, H. R., & Tetlock, P. E. (2004). Attributions of implicit prejudice, or “Would Jesse Jackson ‘Fail’ the Implicit Association Test?” Psychological Inquiry, 15, 257–278.CrossRefGoogle Scholar

Aronowitz, P. B., Williams, D. M., Henderson, M. C., et al. (2019). Mind the base rate: An exercise in clinical reasoning. Journal of General Internal Medicine, 34(9), 1941–1945. https://doi.org/10.1007/s11606-019-05053-zCrossRefGoogle ScholarPubMed

Banaji, M. (2017). Retrieved from: www.psychologytoday.com/us/blog/rabble-rouser/201712/mandatory-implicit-bias-training-is-bad-ideaGoogle Scholar

Cao, J., Kleiman-Weiner, M., & Banaji, M. R. (2019). People make the same Bayesian judgment they criticize in others. Psychological Science, 30(1), 20–31. https://doi.org/10.1177/0095679761880570CrossRefGoogle ScholarPubMed

Chapman, T. K. (2011). Critical race theory and teacher education. Myriad. Special Issue, 8–17.Google Scholar

Cole, J. B. (1994). Conversations: Straight talk with America’s Sister President. New York, NY: Penguin Random House.Google Scholar

Dana, J., Dawes, R., & Peterson, N. (2013). Belief in the unstructured interview: The persistence of an illusion. Judgment and Decision Making, 8, 512–520.CrossRefGoogle Scholar

Dawson, N. V., & Arkes, H. R. (2009). Implicit bias among physicians. Journal of General Internal Medicine, 24, 137–140. https://doi.org/10.1007/s11606-008-0821-8CrossRefGoogle ScholarPubMed

Dobbin, F., & Kalev, A. (2016). Why diversity programs fail and what works better. Harvard Business Review, 94(7–8), 52–60.Google Scholar

Fischhoff, B. (1977). Perceived informativeness of facts. Journal of Experimental Psychology: Human Perception and Performance, 3, 349–358.Google Scholar

Gerber, B. S., Cho, Y. I., Arozullah, A. M., et al. (2010). Racial differences in medication adherence: A cross-sectional study of Medicare enrollees. American Journal of Geriatric Pharmacotherapy, 8(2), 136–145. https://doi.org/10.1016/amjopharm.2010.03.002CrossRefGoogle 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., 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, 553–561. https://doi.org/10/1037.pspa0000016CrossRefGoogle ScholarPubMed

Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998). Measuring individual differences in implicit cognition: The Implicit Association Test. Journal of Personality and Social Psychology, 74, 1464–1480.CrossRefGoogle ScholarPubMed

Johnson, D. (2018, May 11–13). Everyone should be tested for implicit bias. USA Today, p. 7A.Google Scholar

Kalev, A., Dobbin, F., & Kelly, E. (2006). Best practices or best guesses? Assessing the efficacy of corporate affirmative action and diversity policies. American Sociological Review, 71, 589–617.CrossRefGoogle Scholar

Kennedy, R. (1995, July 5). Racial politics and criminal justice. Speech at the American Enterprise Institute. Retrieved from: www.c-span.org/video/?63858-1/racial-politics-criminal-justiceGoogle Scholar

Koren, L., & Williams, C. (1999, November 12). Recent slaying prompts cabbies to demand police protection, understanding from fares. The Washington Times, pp. C1–2.Google Scholar

Kurdi, B, Seitchik, A. E., Axt, J. R., et al. (2019). Relationship between the Implicit Association Test and intergroup behavior: A meta-analysis. American Psychologist, 74(5), 569–586. https://doi.org/10.1037/amp0000364CrossRefGoogle ScholarPubMed

LeBel, E., & Paunonen, S. V. (2011). Sexy but often unreliable: The impact of unreliability on replicability of experimental findings with implicit measures. Personality and Social Psychology Bulletin, 37(4), 570–583. https://doi.org/10.1177/0146167211400619CrossRefGoogle ScholarPubMed

Merenstein, D. (2004). Winners and losers. JAMA, 291(1), 15–16. https://doi.org/10.1001/jama.291.1.15Google ScholarPubMed

Nosek, B. A., & Riskind, R. G. (2012). Policy implications of implicit social cognition. Social Issues and Policy Review, 6(1), 113–147.CrossRefGoogle 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, 36–88. 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

Payne, B. K., Lambert, A. J., & Jacoby, L. L. (2002). Best laid plans: Effects of goals on accessibility bias and cognitive control in race-based misperceptions of weapons. Journal of Experimental Social Psychology, 38, 384–396. https://doi.org/10.1016/S0022-1031(02)00006-9CrossRefGoogle Scholar

Scullin, C., & Shaw, A. (2012, May 2). ARE YOU RACIST? UWeekly, pp. 6, 8–9.Google Scholar

United States Census Bureau. (n.d.). Retrieved from: https://census.gov/quickfacts/fact/table/US/PST045222Google Scholar

United States Department of Justice. (n.d.). Retrieved from: https://ucr.fbi.gov/crime-in-the-u.s/2019/crime-in-the-u.s.-2019/topic-pages/tables/table-43Google Scholar

Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888–918. https://doi.org/10.1037/0033-2909.84.5.888CrossRefGoogle Scholar

Ajzen, I., & Fishbein, M. (1981). Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar

Banaji, M. R. (2001). Implicit attitudes can be measured. In Roediger, H. L., Nairne, J. S., Neath, I. E., & Surprenant, A. M. (Eds.), The Nature of Remembering: Essays in Honor of Robert G. Crowder. Washington, DC: American Psychological Association, pp. 117–150.Google Scholar

Blanton, H., Burrows, C. N., & Jaccard, J. (2016). To accurately estimate implicit influences on health behavior, accurately estimate explicit influences. Health Psychology, 35(8), 856–860. https://doi.org/10.1037/hea0000348.supp (Supplemental)CrossRefGoogle ScholarPubMed

Blanton, H., & Jaccard, J. (2006a). Arbitrary metrics in psychology. American Psychologist, 61(1), 27–41. https://doi.org/10.1037/0003-066X.61.1.27CrossRefGoogle ScholarPubMed

Blanton, H., & Jaccard, J. (2006b). Arbitrary metrics redux. American Psychologist, 61(1), 62–71. https://doi.org/10.1037/0003-066X.61.1.62CrossRefGoogle Scholar

Blanton, H., & Jaccard, J. (2006c). Tests of multiplicative models in psychology: A case study using the unified theory of implicit attitudes, stereotypes, self-esteem, and self-concept. Psychological Review, 113(1), 155–166. https://doi.org/10.1037/0033-295X.113.1.155CrossRefGoogle ScholarPubMed

Blanton, H., & Jaccard, J. (2006d). Postscript: Perspectives on the reply by Greenwald, Rudman, Nosek, and Zayas (2006). Psychological Review, 113(1), 166–169. https://doi.org/10.1037/0033-295X.113.1.166CrossRefGoogle Scholar

Blanton, H., & Jaccard, J. (2008). Unconscious racism: A concept in pursuit of a measure. Annual Review of Sociology, 34, 277–297. https://doi.org/10.1146/annurev.soc.33.040406.131632CrossRefGoogle Scholar

Blanton, H., Jaccard, J., & Burrows, C. N. (2015). 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., Christie, C., et al. (2007). Plausible assumptions, questionable assumptions and post hoc rationalizations: Will the real IAT, please stand up? Journal of Experimental Social Psychology, 43(3), 399–409. https://doi.org/10.1016/j.jesp.2006.10.019CrossRefGoogle Scholar

Blanton, H., Jaccard, J., Gonzales, P. M., et al. (2006). Decoding the implicit association test: Implications for criterion prediction. Journal of Experimental Social Psychology, 42(2), 192–212. https://doi.org/10.1016/j.jesp.2005.07.003CrossRefGoogle Scholar

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. (2015). Toward a meaningful metric of implicit prejudice. Journal of Applied Psychology, 100(5), 1468–1481. https://doi.org/10.1037/a0038379CrossRefGoogle Scholar

Blanton, H., & Mitchell, G. (2011). Reassessing the predictive validity of the IAT II: Reanalysis of Heider & Skowronski (2007). North American Journal of Psychology, 13(1), 99–106.Google Scholar

Bluemke, M., & Friese, M. (2008). Reliability and validity of the Single-Target IAT (ST-IAT): Assessing automatic affect towards multiple attitude objects. European Journal of Social Psychology, 38(6), 977–997. https://doi.org/10.1002/ejsp.487CrossRefGoogle Scholar

Bodenhausen, G.V., & Petsko, C.D. (2023). Complications in predicting intergroup behavior from implicit biases: One size does not fit all. In Krosnick, J. A., Stark, T. H., & Scott, A. L. (Eds.), The Cambridge Handbook of Implicit Bias and Racism. Cambridge: Cambridge University Press.Google Scholar

Brownstein, M., Madva, A., & Gawronski, B. (2020). Understanding implicit bias: Putting criticism into perspective. Pacific Philosophical Quarterly (online). https://doi.org/10.1111/papq.12302CrossRefGoogle Scholar

Buckhout, R. (1966). Changes in heart rate accompanying attitude change. Journal of Personality and Social Psychology, 4(6), 695–699. https://doi.org/10.1037/h0021194CrossRefGoogle Scholar

Buhrmester, M. D., Blanton, H., & Swann, W. B. Jr. (2011). Implicit self-esteem: Nature, measurement, and a new way forward. Journal of Personality and Social Psychology, 100(2), 365–385. https://doi-org.srv-proxy2.library.tamu.edu/10.1037/a0021341CrossRefGoogle Scholar

Cacioppo, J. T., Berntson, G. G., Norris, C. J., et al. (2012). The evaluative space model. In Van Lange, P. A. M., Kruglanski, A. W., & Higgins, E. T. (Eds.), Handbook of Theories of Social Psychology (vol. 1, pp. 50–72). London: SAGE Publications. https://doi.org/10.4135/9781446249215.n4CrossRefGoogle Scholar

Cacioppo, J. T., Gardner, W. L., & Berntson, G. G. (1997). Beyond bipolar conceptualizations and measures: The case of attitudes and evaluative space. Personality and Social Psychology Review, 1(1), 3–25. https://doi.org/10.1207/s15327957pspr0101_2CrossRefGoogle ScholarPubMed

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. New York, NY: Lawrence Erlbaum.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

Coopersmith, S (1981, 1987). Self-esteem Inventories. Palo Alto, CA: Consulting Psychologists Press.Google Scholar

Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78(1), 98–104. https://doi.org/10.1037/0021-9010.78.1.98CrossRefGoogle Scholar

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika 16, 297–334.CrossRefGoogle Scholar

Cunningham, W. A., Preacher, K. J., & Banaji, M. R. (2001). Implicit attitude measures: Consistency, stability, and convergent validity. Psychological Science, 12(2), 163–170. https://doi.org/10.1111/1467-9280.00328CrossRefGoogle ScholarPubMed

Cvencek, D., Meltzoff, A. N., Maddox, C. D., et al. (2021). Meta-analytic use of balanced identity theory to validate the implicit association test. Personality and Social Psychology Bulletin, 47(2), 185–200. https://doi-org.srv-proxy1.library.tamu.edu/10.1177/0146167220916631CrossRefGoogle ScholarPubMed

Davenport, E. C. Jr., Davison, M. L., Liou, P., et al. (2015). Reliability, dimensionality, and internal consistency as defined by Cronbach: Distinct albeit related concepts. Educational Measurement: Issues and Practice, 34(4), 4–9. https://doi.org/10.1111/emip.12095CrossRefGoogle Scholar

Dawson, N. V., & Arkes, H. R. (2009). Letter to the editor: Implicit bias among physicians. Journal of General Internal Medicine, 24, 137–140. Retrieved May, 2020 at: www.ncbi.nlm.nih.gov/pmc/articles/PMC2607500/CrossRefGoogle Scholar

Dehon, E., Weiss, N., Jones, J., et al. (2017). A systematic review of the impact of physician implicit racial bias on clinical decision making. Academic Emergency Medicine, 24(8), 895–904.CrossRefGoogle ScholarPubMed

Fazio, R. H. (1999). Correlation between the IAT and the Bona Fide Pipeline. Unpublished raw data.Google Scholar

Fazio, R. H., Jackson, J., Dunton, B. C., et al. (1995). Variability in automatic activation as an unobtrusive measure of racial attitudes: A bona fide pipeline? Journal of Personality and Social Psychology, 69(6), 1013–1027.CrossRefGoogle Scholar

Festinger, L., & Carlsmith, J. M. (1959). Cognitive consequences of forced compliance. Journal of Abnormal and Social Psychology, 58(2), 203–210. https://doi.org/10.1037/h0041593CrossRefGoogle ScholarPubMed

Fishbein, M., & Ajzen, I. (1975). Beliefs, Attitudes, Intentions and Behavior. New York, NY: Addison-Wesley.Google Scholar

Fishbein, M., & Ajzen, I. (2010). Predicting and Changing Behavior: The Reasoned Action Approach. New York, NY: Psychology Press.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 and Social Psychology, 117(3), 522–559. https://doi.org/10.1037/pspa0000160CrossRefGoogle ScholarPubMed

Gawronski, B., & De Houwer, J. (2014). Implicit measures in social and personality psychology. In Reis, H. T., & Judd, C. M. (Eds.), Handbook of Research Methods in Social and Personality Psychology (2nd ed.). New York, NY: Cambridge University Press.Google Scholar

Gawronski, B., Morrison, M., Phills, C. E., et al. (2017). Temporal stability of implicit and explicit measures: A longitudinal analysis. Personality and Social Psychology Bulletin, 43(3), 300–312. https://doi.org/10.1177/0146167216684131CrossRefGoogle Scholar

Gibbons, R. D., & Hedeker, D. R. (1992). Full-information item bi-factor analysis. Psychometrika, 57(3), 423–436. https://doi.org/10.1007/BF02295430CrossRefGoogle Scholar

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. (2012). There is nothing so theoretical as a good method. Perspectives on Psychological Science, 7(2), 99–108. https://doi.org/10.1177/1745691611434210CrossRefGoogle ScholarPubMed

Greenwald, A. G., & Banaji, M. R. (1995). Implicit social cognition: Attitudes, self-esteem, and stereotypes. Journal of Personality and Social Psychology, 102, 4–27.Google ScholarPubMed

Greenwald, A. G., & Banaji, M. R. (2017). The implicit revolution: Reconceiving the relation between conscious and unconscious. American Psychologist, 72(9), 861–871. https://doi.org/10.1037/amp0000238CrossRefGoogle ScholarPubMed

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. https://doi.org/10.1037/pspa0000016CrossRefGoogle ScholarPubMed

Greenwald, A. G., Banaji, M. R., Rudman, L. A., et al. (2002). A unified theory of implicit attitudes, stereotypes, self-esteem, and self-concept. Psychological Review, 109(1), 3–25. https://doi.org/10.1037/0033-295X.109.1.3CrossRefGoogle ScholarPubMed

Greenwald, A. G., Brendl, M., Cai, H., et al. (2019). The Implicit Association Test at age 20: What is known and what is not known about implicit bias. University of Washington. Retrieved May 20, 2020 from: https://psyarxiv.com/bf97cGoogle Scholar

Greenwald, A. G., Brendl, M., Cai, H., et al. (2022). Best research practices for using the Implicit Association Test. Behavioral Research Methods, 54(3), 1161–1180. https://doi.org/10.3758/s13428-021-01624-3CrossRefGoogle ScholarPubMed

Greenwald, A. G., & Farnham, S. D. (2000). Using the Implicit Association Test to measure self-esteem and self-concept. Journal of Personality and Social Psychology, 79(6), 1022–1038. https://doi.org/10.1037/0022-3514.79.6.1022CrossRefGoogle ScholarPubMed

Greenwald, A. G., & Lai, C. K. (2020). Implicit social cognition. Annual Review of Psychology, 71, 419–445. https://doi.org/10.1146/annurev-psych-010419-050837CrossRefGoogle ScholarPubMed

Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998). Measuring individual differences in implicit cognition: The implicit association test. Journal of Personality and Social Psychology, 74(6), 1464–1480. https://doi.org/10.1037/0022-3514.74.6.1464CrossRefGoogle 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., Nosek, B. A., & Sriram, N. (2006). Consequential validity of the Implicit Association Test: Comment on Blanton and Jaccard (2006). American Psychologist, 61(1), 56–61. https://doi.org/10.1037/0003-066X.61.1.56CrossRefGoogle 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/a0015575.supp (Supplemental)CrossRefGoogle ScholarPubMed

Greenwald, A. G., Rudman, L. A., Nosek, B. A., et al. (2006). Why so little faith? A reply to Blanton and Jaccard’s (2006) skeptical view of testing pure multiplicative theories: Postcript. Psychological Review, 113(1), 180. https://doi.org/10.1037/0033-295X.113.1.180CrossRefGoogle Scholar

Heider, J. D., & Skowronski, J. J. (2007). Improving the predictive validity of the Implicit Association Test. North American Journal of Psychology, 9(1), 53–76.Google Scholar

Hess, E. H. (1965). Attitude and pupil size. Scientific American, 212(4), 46–54. https://doi.org/10.1038/scientificamerican0465–46CrossRefGoogle ScholarPubMed

Jaccard, J. (2021). Methodological issues in the study of implicit attitudes. In Krosnick, J. A., Stark, T. H., & Scott, A. L. (Eds.), The Cambridge Handbook of Implicit Bias and Racism. Cambridge: Cambridge University Press.Google Scholar

Jaccard, J., & Blanton, H. (2007). A theory of implicit reasoned action: The role of implicit and explicit attitudes in the prediction of behavior. In Ajzen, I., Albarracin, D., & Hornik, J. (Eds.), Prediction and Change of Health Behavior: Applying the Reasoned Action Approach. Mahwah, NJ: Erlbaum Associates, pp. 69–81.Google Scholar

Jones, E. E., & Sigall, H. (1971). The bogus pipeline: A new paradigm for measuring affect and attitude. Psychological Bulletin, 76(5), 349–364. https://doi.org/10.1037/h0031617CrossRefGoogle 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. Research in Organizational Behavior, 29, 39–69. https://doi.org/10.1016/j.riob.2009.10.001CrossRefGoogle Scholar

Jussim, L., Careem, A., Goldberg, Z., et al. (2021). IAT scores, racial gaps, and scientific gaps. In Krosnick, J. A., Stark, T. H., & Scott, A. L. (Eds.), The Cambridge Handbook of Implicit Bias and Racism. Cambridge: Cambridge University Press.Google Scholar

Krugman, P. (2020). Arguing with Zombies: Economics, Politics, and the Fight for a Better Future. New York, NY: W.W. Norton & Company.Google Scholar

Kurdi, B., & Banaji, M. R. (2017). Reports of the death of the individual difference approach to implicit social cognition may be greatly exaggerated: A commentary on Payne, Vuletich, and Lundberg. Psychological Inquiry, 28(4), 281–287.CrossRefGoogle Scholar

Kurdi, B., Seitchik, A. E., Axt, J. R., et al. (2019). Relationship between the Implicit Association Test and intergroup behavior: A meta-analysis. American Psychologist, 74(5), 569–586. https://doi.org/10.1037/amp0000364CrossRefGoogle ScholarPubMed

Lai, C. K., Skinner, A. L., Cooley, E., et al. (2016). Reducing implicit racial preferences: II. Intervention effectiveness across time. Journal of Experimental Psychology: General, 145(8), 1001–1016. https://doi.org/10.1037/xge0000179CrossRefGoogle ScholarPubMed

Mason, B. (2020). Curbing Implicit Bias: What Works and What Doesn’t. Knowable magazine. Downloaded at: www.knowablemagazine.org/article/mind/2020/how-to-curb-implicit-bias.Google 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

McFarland, S. G., & Crouch, Z. (2002). A cognitive skill confound on the Implicit Association Test. Social Cognition, 20(6), 483–510.CrossRefGoogle Scholar

Nosek, B. A., Greenwald, A. G., & Banaji, M. R. (2007). The Implicit Association Test at age 7: A methodological and conceptual review. In Bargh, J. A. (Ed.), Social Psychology and the Unconscious: The Automaticity of Higher Mental Processes. New York, NY: Psychology Press, pp. 265–292.Google Scholar

Olson, M. A., & Fazio, R. H. (2004). Reducing the influence of extrapersonal associations on the Implicit Association Test: Personalizing the IAT. Journal of Personality and Social Psychology, 86(5), 653–667. https://doi.org/10.1037/0022-3514.86.5.653CrossRefGoogle ScholarPubMed

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/a0032734.supp (Supplemental)CrossRefGoogle 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

Oudekerk, B. (2019). Hate Crime Statistics: Briefing prepared for the Virginia Advisory Committee, U.S. Commission on Civil Rights, Panel 1: Hate Crime History in VA, Current Legal Framework, Enforcement and Data. Retrieved May, 2020 at:www.bjs.gov/content/pub/pdf/hcs1317pp.pdf.Google Scholar

Payne, B. K., Govorun, O., & Arbuckle, N. L. (2008). Automatic attitudes and alcohol: Does implicit liking predict drinking? Cognition & Emotion, 22(2), 238–271.CrossRefGoogle Scholar

Payne, B. K., Lee, K. M., Giletta, M., et al. (2016). Implicit attitudes predict drinking onset in adolescents: Shaping by social norms. Health Psychology, 35(8), 829–836. https://doi.org/10.1037/hea0000353.supp (Supplemental)CrossRefGoogle ScholarPubMed

Payne, B. K., Vuletich, H. A., & Brown-Iannuzzi, J. L. (2019). Historical roots of implicit bias in slavery. Proceedings of the National Academy of Sciences, 116(24), 11693–11698.CrossRefGoogle ScholarPubMed

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.CrossRefGoogle Scholar

Porier, G. W., & Lott, A. J. (1967). Galvanic skin responses and prejudice. Journal of Personality and Social Psychology, 5(3), 253–259. https://doi.org/10.1037/h0021205CrossRefGoogle ScholarPubMed

Rankin, R. E., & Campbell, D. T. (1955). Galvanic skin response to Negro and white experimenters. The Journal of Abnormal and Social Psychology, 51(1), 30–33. https://doi.org/10.1037/h0041539CrossRefGoogle ScholarPubMed

Raykov, T., & Marcoulides, G. A. (2011). Introduction to Psychometric Theory. London: Routledge.CrossRefGoogle Scholar

Ring, K. (1967). Experimental social psychology: Some sober questions about some frivolous values. Journal of Experimental Social Psychology, 3(2), 113–123.CrossRefGoogle Scholar

Roese, N. J., & Jamieson, D. W. (1993). Twenty years of bogus pipeline research: A critical review and meta-analysis. Psychological Bulletin, 114(2), 363–375. https://doi.org/10.1037/0033-2909.114.2.363CrossRefGoogle Scholar

Rosenberg, M. (1965). Society and the adolescent self-image. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar

Rothermund, K., & Wentura, D. (2004). Underlying processes in the Implicit Association Test: Dissociating salience from associations. Journal of Experimental Psychology: General, 133(2), 139–165. https://doi.org/10.1037/0096-3445.133.2.139CrossRefGoogle ScholarPubMed

Schnabel, K., Asendorpf, J. B., & Greenwald, A. G. (2008). Assessment of individual differences in implicit cognition: A review of IAT measures. European Journal of Psychological Assessment, 24(4), 210–217. https://doi.org/10.1027/1015-5759.24.4.210CrossRefGoogle Scholar

Sherman, S. J., Rose, J. S., Koch, K., et al. (2003). Implicit and explicit attitudes toward cigarette smoking: The effects of context and motivation. Journal of Social and Clinical Psychology, 22(1), 13–39. https://doi.org/10.1521/jscp.22.1.13.22766CrossRefGoogle Scholar

Singal, J. (2017). Psychology’s favorite tool for measuring racism isn’t up to the job. New York Magazine, 11. https://www.thecut.com/2017/01/psychologys-racism-measuring-tool-isnt-up-to-the-job.htmlGoogle Scholar

Southern Poverty Law Center. (2019). Gate groups reach record high. Retrieved May 2020 at: www.splcenter.org/news/2019/02/19/hate-groups-reach-record-highGoogle Scholar

Steenkamp, J.-B. E. M., De Jong, M. G., & Baumgartner, H. (2010). Socially desirable response tendencies in survey research. Journal of Marketing Research, 47(2), 199–214. https://doi.org/10.1509/jmkr.47.2.199CrossRefGoogle Scholar

Steffens, M. C., & Buchner, A. (2003). Implicit Association Test: Separating transsituationally stable and variable components of attitudes toward gay men. Experimental Psychology, 50(1), 33.CrossRefGoogle ScholarPubMed

Swann, W. B., Jr., Chang-Schneider, C., & Larsen McClarty, K. (2007). Do people’s self-views matter? Self-concept and self-esteem in everyday life. American Psychologist, 62(2), 84–94. https://doi-org.srv-proxy2.library.tamu.edu/10.1037/0003-066X.62.2.84CrossRefGoogle ScholarPubMed

Webb, E. J., Campbell, D. T., Schwartz, R. D., et al. (1966). Unobtrusive Measures: Nonreactive Research in the Social Sciences. Chicago, IL: Rand McNally.Google Scholar

Wicker, A. W. (1969). Attitudes versus actions: The relationship of verbal and overt behavioral responses to attitude objects. Journal of Social Issues, 25(4), 41–78.CrossRefGoogle Scholar

Yamaguchi, M., & Beattie, G. (2020). The role of explicit categorization in the Implicit Association Test. Journal of Experimental Psychology: General, 149(5), 809–827. https://doi.org/10.1037/xge0000685CrossRefGoogle ScholarPubMed

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

Barrett, L. F. (2017). The theory of constructed emotion: An active inference account of interoception and categorization. Social Cognitive and Affective Neuroscience, 12, 1–23. https://doi.org/10.1093/scan/nsw154CrossRefGoogle ScholarPubMed

Barrett, L. F. (2022). Context reconsidered: Complex signal ensembles, relational meaning and population thinking. American Psychologist, 77, 894–920.CrossRefGoogle ScholarPubMed

Barrett, L. F., & Lida, T. (2023). Constructionist approaches to emotion in psychology and related fields. Chapter to appear in A. Scarantino (Ed.), Routledge Handbook of Emotion Theory.Google Scholar

Barrett, L. F., & Simmons, W. K. (2015). Interoceptive predictions in the brain. Nature Reviews Neuroscience, 16(7), 419–429. https://doi.org/10.1038/nrn3950CrossRefGoogle ScholarPubMed

Barron, H. C., Auksztulewicz, R., & Friston, K. (2020). Prediction and memory: A predictive coding account. Progress in Neurobiology, 192, 101821.CrossRefGoogle ScholarPubMed

Barsalou, L. W. (1983). Ad hoc categories. Memory & Cognition, 11, 211–227.CrossRefGoogle ScholarPubMed

Casasanto, D., & Lupyan, G. (2015). All concepts are ad hoc concepts. In Margolis, E. & Laurence, S. (Eds.), Conceptual Mind: New Directions in the Study of Concepts (pp. 543–566). Cambridge, MA: MIT Press.CrossRefGoogle Scholar

Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36, 253–281.CrossRefGoogle ScholarPubMed

Craik, K. (1943). The Nature of Explanation. Cambridge: Cambridge University Press.Google Scholar

den Ouden, H. E. M., Kok, P., & de Lange, F. (2012). How prediction errors shape perception, attention, and motivation. Frontiers in Psychology, 3, 11. https://doi.org/10.3389/fpsyg.2012.00548CrossRefGoogle ScholarPubMed

Feldman, H., & Friston, K. J. (2010). Attention, uncertainty, and free-energy. Frontiers in Human Neuroscience, 4, 215. https://doi.org/10.3389/fnhum.2010.00215CrossRefGoogle ScholarPubMed

Friston, K. (2010). The free-energy principle: A unified brain theory? Nature Reviews Neuroscience, 11, 127–138.CrossRefGoogle ScholarPubMed

Friston, K., FitzGerald, T., Rigoli, F., et al. (2017). Active inference: A process theory. Neural Computation, 29(1), 1–49.CrossRefGoogle ScholarPubMed

Helmholtz, H. von (1860/1962) Handbuch der physiologischen optik, Vol. 3. Edited and translated by J. P. C. Southall. Dover. (Original work published in 1860; Dover English edition in 1962).Google Scholar

Hutchinson, J. B., & Barrett, L. F. (2019). The power of predictions: An emerging paradigm for psychological research. Current Directions in Psychological Science, 28, 280–291.CrossRefGoogle ScholarPubMed

Hohwy, J. (2013). The Predictive Mind. Oxford: Oxford University Press.CrossRefGoogle Scholar

Katsumi, Y., Theriault, J. E., Quigley, K. S., et al. (2022). Allostasis as a core feature of hierarchical gradients in the human brain. Network Neuroscience, 6, 1010–1031.CrossRefGoogle ScholarPubMed

Keller, G. B., & Mrsic-Flogel, T. D. (2018). Predictive processing: A canonical cortical computation. Neuron, 100(2), 424–435.CrossRefGoogle ScholarPubMed

Kleckner, I. R., Zhang, J., Touroutoglou, A., et al. (2017). Evidence for a large-scale brain system supporting allostasis and interoception in humans. Nature Human Behaviour, 1. https://doi.org/10.1038/s41562-017-0069CrossRefGoogle ScholarPubMed

Lochmann, T., & Deneve, S. (2011). Neural processing as causal inference. Current Opinion in Neurobiology, 21(5), 774–781. https://doi.org/10.1016/j.conb.2011.05.018CrossRefGoogle ScholarPubMed

Pezzulo, G., Zorzi, M., & Corbetta, M. (2021). The secret life of predictive brains: What’s spontaneous activity for? Trends in Cognitive Sciences, 25(9), 730–743.CrossRefGoogle ScholarPubMed

Rao, R. P., & Ballard, D. H. (1999). Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects. Nature Neuroscience, 2(1), 79–87. https://doi.org/10.1038/4580CrossRefGoogle ScholarPubMed

Shadmehr, R., Smith, M. A., & Krakauer, J. W. (2010). Error correction, sensory prediction, and adaptation in motor control. Annual Review of Neuroscience, 33, 89–108. https://doi.org/10.1146/annurev-neuro-060909-153135.CrossRefGoogle ScholarPubMed

Shaffer, C., Westlin, C., Quigley, K. S., et al. (2022). Allostasis, action and affect in depression: Insights from the theory of constructed emotion. Annual Review of Clinical Psychology, 18, 553–580.CrossRefGoogle ScholarPubMed

Smith, R., Badcock, P., & Friston, K. J. (2021). Recent advances in the application of predictive coding and active inference models within clinical neuroscience. Psychiatry and Clinical Neurosciences, 75(1), 3–13.CrossRefGoogle ScholarPubMed

Spratling, M. W. (2017). A review of predictive coding algorithms. Brain and Cognition, 112, 92–97.CrossRefGoogle ScholarPubMed

Sterling, P. (2012). Allostasis: A model of predictive regulation. Physiology & Behavior, 106(1), 5–15.CrossRefGoogle Scholar

Sterling, P., & Laughlin, S. (2015). Principles of Neural Design. Cambridge, MA: MIT Press.CrossRefGoogle Scholar

Tamir, D. I., & Thornton, M. A. (2018). Modeling the predictive social mind. Trends in Cognitive Sciences, 22, 201212.CrossRefGoogle ScholarPubMed

Tolman, E. C. (1948). Cognitive maps in rats and men. Psychological Review, 55, 189–208.CrossRefGoogle ScholarPubMed

Vilares, I., & Kording, K. (2011). Bayesian models: The structure of the world, uncertainty, behavior, and the brain. Annals of the New York Academy of Sciences, 1224, 22–39. https://doi.org/10.1111/j.1749-6632.2011.05965.xCrossRefGoogle ScholarPubMed