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Section III - Challenges of Research on Implicit Bias

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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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Publisher: Cambridge University Press
Print publication year: 2025

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References

References

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), 553561. 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), 1741. 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), 280291. 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), 569586. 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. 164195). 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), 562571. https://doi.org/10.1037/pspa0000023CrossRefGoogle ScholarPubMed

References

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, 10821093. 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, 124140.CrossRefGoogle Scholar
Arkes, H. R., & Gaissmaier, W. (2012). Psychological research and the PSA test controversy. Psychological Science, 23, 547553. 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, 257278.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), 19411945. https://doi.org/10.1007/s11606-019-05053-zCrossRefGoogle ScholarPubMed
Cao, J., Kleiman-Weiner, M., & Banaji, M. R. (2019). People make the same Bayesian judgment they criticize in others. Psychological Science, 30(1), 2031. 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, 512520.CrossRefGoogle Scholar
Dawson, N. V., & Arkes, H. R. (2009). Implicit bias among physicians. Journal of General Internal Medicine, 24, 137140. 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), 5260.Google Scholar
Fischhoff, B. (1977). Perceived informativeness of facts. Journal of Experimental Psychology: Human Perception and Performance, 3, 349358.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), 136145. 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), 12311238. 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, 553561. 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, 14641480.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, 589617.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), 569586. 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), 570583. https://doi.org/10.1177/0146167211400619CrossRefGoogle ScholarPubMed
Merenstein, D. (2004). Winners and losers. JAMA, 291(1), 1516. 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), 113147.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, 3688. 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), 171192. 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, 384396. 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

References

Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888918. 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. 117150.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), 856860. https://doi.org/10.1037/hea0000348.supp (Supplemental)CrossRefGoogle ScholarPubMed
Blanton, H., & Jaccard, J. (2006a). Arbitrary metrics in psychology. American Psychologist, 61(1), 2741. https://doi.org/10.1037/0003-066X.61.1.27CrossRefGoogle ScholarPubMed
Blanton, H., & Jaccard, J. (2006b). Arbitrary metrics redux. American Psychologist, 61(1), 6271. 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), 155166. 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), 166169. 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, 277297. 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), 429440. 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), 399409. 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), 192212. 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), 567582. 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), 14681481. 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), 99106.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), 977997. 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), 695699. 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), 365385. 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. 5072). 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), 325. 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), 469487. 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), 98104. 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, 297334.CrossRefGoogle Scholar
Cunningham, W. A., Preacher, K. J., & Banaji, M. R. (2001). Implicit attitude measures: Consistency, stability, and convergent validity. Psychological Science, 12(2), 163170. 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), 185200. 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), 49. 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, 137140. 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), 895904.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), 10131027.CrossRefGoogle Scholar
Festinger, L., & Carlsmith, J. M. (1959). Cognitive consequences of forced compliance. Journal of Abnormal and Social Psychology, 58(2), 203210. 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), 522559. 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), 300312. https://doi.org/10.1177/0146167216684131CrossRefGoogle Scholar
Gibbons, R. D., & Hedeker, D. R. (1992). Full-information item bi-factor analysis. Psychometrika, 57(3), 423436. 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), 12311238. 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), 99108. 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, 427.Google ScholarPubMed
Greenwald, A. G., & Banaji, M. R. (2017). The implicit revolution: Reconceiving the relation between conscious and unconscious. American Psychologist, 72(9), 861871. 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), 553561. 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), 325. 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), 11611180. 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), 10221038. 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, 419445. 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), 14641480. 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), 197216. 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), 5661. 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), 1741. 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), 5376.Google Scholar
Hess, E. H. (1965). Attitude and pupil size. Scientific American, 212(4), 4654. 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. 6981.Google Scholar
Jones, E. E., & Sigall, H. (1971). The bogus pipeline: A new paradigm for measuring affect and attitude. Psychological Bulletin, 76(5), 349364. 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), 1019. 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, 3969. 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), 281287.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), 569586. 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), 10011016. 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), 435442. 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), 483510.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. 265292.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), 653667. 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), 171192. 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), 562571. 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), 238271.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), 829836. 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), 1169311698.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), 233248.CrossRefGoogle Scholar
Porier, G. W., & Lott, A. J. (1967). Galvanic skin responses and prejudice. Journal of Personality and Social Psychology, 5(3), 253259. 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), 3033. 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), 113123.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), 363375. 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), 139165. 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), 210217. 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), 1339. 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), 199214. 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), 8494. 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), 4178.CrossRefGoogle Scholar
Yamaguchi, M., & Beattie, G. (2020). The role of explicit categorization in the Implicit Association Test. Journal of Experimental Psychology: General, 149(5), 809827. https://doi.org/10.1037/xge0000685CrossRefGoogle ScholarPubMed

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), 369387. 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), 257278. 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, 610. https://doi.org/10.1038/s41562–017-0189-zCrossRefGoogle ScholarPubMed
Bertocchi, G., & Dimico, A. (2014). Slavery, education, and inequality. European Economic Review, 70, 197209.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), 9911013.CrossRefGoogle Scholar
Blanton, H., Jaccard, J., & Burrows, C. N. (2015a). Implications of the Implicit Association Test D-Transformation for Psychological Assessment. Assessment, 22(4), 429440. 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), 567582. 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), 14681481. https://doi.org/10.1037/a0038379CrossRefGoogle Scholar
Bluemke, M., & Fiedler, K. (2009). Base rate effects on the IAT. Consciousness and Cognition, 18(4), 10291038. 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), 74757480. 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), 365369. 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), 15041510. 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), 174192. 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. 205231.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), 469487. 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), 13141329. 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), 6880. 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), 853856. 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), 571582.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, 835840.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, 271297.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), 11821193.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), 13571378.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), 74147. 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. 568580.Google Scholar
Glaser, J., & Finn, C. (2013). How and why implicit attitudes should affect voting. Political Science & Politics, 46(3), 537544. 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), 123130. 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), 304308. 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), 12311238. 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), 553561. http://dx.doi.org/10.1037/pspa0000016CrossRefGoogle ScholarPubMed
Greenwald, A. G., & Krieger, L. (2006). Implicit bias: Scientific foundations. California Law Review, 94(4), 945967. 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), 14641480.CrossRefGoogle ScholarPubMed
Greenwald, A. G., & Nosek, B. A. (2001). Health of the Implicit Association Test at age 3. Experimental Psychology, 48, 8593. 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), 197216. 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), 1741. 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), 13691392. https://doi.org/10.1037/a0035028CrossRefGoogle ScholarPubMed
Heckman, J. J. (1998). Detecting discrimination. Journal of Economic Perspectives, 12, 101116.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), 662670. 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), 581592.CrossRefGoogle ScholarPubMed
Johnson, D. J., & Chopik, W. J. (2019). Geographic variation in the black-violence stereotype. Social Psychological and Personality Science, 10(3), 287294. 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), 1019. 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, 3969. 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. 265282.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), 490497. 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), 131155. 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. 312333. 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. 279303. 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), 10631118.CrossRefGoogle Scholar
Kang, J., Bennett, M. W., Carbado, D. W., et al. (2012). Implicit bias in the courtroom. UCLA Law Review, 59, 11241186.Google Scholar
Kunda, Z., & Thagard, P. (1996). Forming impressions from stereotypes, traits, and behaviors: A parallel-constraint-satisfaction theory. Psychological Review, 103(2), 284308. 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, 569586.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. 59102.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), 570583. 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), 209227. 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), 821831. 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), 3842. https://doi.org/10.2307/20080781CrossRefGoogle Scholar
Mackie, M. (1973). Arriving at “truth” by definition: The case of stereotype inaccuracy. Social Problems, 20(4), 431447. 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), 825844. 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), 89103. 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), 157158.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), 435442. 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. 139155.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), 1647416479.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), 707715. 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, 137141. 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), 153. 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), 171192. 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), 562571. 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, 104133.CrossRefGoogle Scholar
Pager, D. & Padulla, D. S. (2015). Race, self-selection, and the job search process. American Journal of Sociology, 120, 10051054.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, 181209.CrossRefGoogle ScholarPubMed
Pager, D., Western, B., & Bonikowski, B. (2009). Discrimination in a low-wage labor market: A field experiment. American Sociological Review, 74, 777799.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), 11491162. 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, 130. 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), 233248. 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), 28742880. 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), 751783. 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), 180183. https://doi.org/10.1111/j.0956-7976.2005.00800.xCrossRefGoogle ScholarPubMed
Platt, J. (1964). Strong Inference. Science, 146(3642), 347353.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), 1087010875.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), 11951246.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), 535543. https://doi.org/10.1177/1948550614567357CrossRefGoogle Scholar
Reber, A. S. (1989). Implicit learning and tacit knowledge. Journal of Experimental Psychology: General, 118(3), 219235. 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), 523534. 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), 231249.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, 5470. 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), 359372. 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), 743762. 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), 988995. 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) 396414.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, 548565.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), 77107715. 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. 2342.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, 12871302.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), 263296.CrossRefGoogle Scholar
Teachman, B. A., & Brownell, K. D. (2001). Implicit anti-fat bias among health professionals: Is anyone immune? International Journal of Obesity, 25, 15251531. 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), 497527. 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), 711. 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), 441453. 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, 613630.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), 436455. 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), 655663. 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), 132160. https://doi.org/10.1177/1088868318762647CrossRefGoogle ScholarPubMed

References

Barrett, L. F. (2017). The theory of constructed emotion: An active inference account of interoception and categorization. Social Cognitive and Affective Neuroscience, 12, 123. 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, 894920.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), 419429. 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, 211227.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. 543566). 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, 253281.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, 127138.CrossRefGoogle ScholarPubMed
Friston, K., FitzGerald, T., Rigoli, F., et al. (2017). Active inference: A process theory. Neural Computation, 29(1), 149.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, 280291.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, 10101031.CrossRefGoogle ScholarPubMed
Keller, G. B., & Mrsic-Flogel, T. D. (2018). Predictive processing: A canonical cortical computation. Neuron, 100(2), 424435.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), 774781. 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), 730743.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), 7987. 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, 89108. 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, 553580.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), 313.CrossRefGoogle ScholarPubMed
Spratling, M. W. (2017). A review of predictive coding algorithms. Brain and Cognition, 112, 9297.CrossRefGoogle ScholarPubMed
Sterling, P. (2012). Allostasis: A model of predictive regulation. Physiology & Behavior, 106(1), 515.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, 189208.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, 2239. https://doi.org/10.1111/j.1749-6632.2011.05965.xCrossRefGoogle ScholarPubMed

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