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1 - Report from the NSF Conference on Implicit Bias

Published online by Cambridge University Press:  21 December 2024

By
Bernadette Park ,
Richard E. Petty ,
Joshua Correll ,
Lisa Feldman Barrett ,
Vince Hutchings ,
Gary Langer ,
Sabine Otten ,
Christopher Parker  and
William von Hippel
Edited by
Jon A. Krosnick ,
Tobias H. Stark  and
Amanda L. Scott
Jon A. Krosnick
Affiliation:
Stanford University, California
Tobias H. Stark
Affiliation:
Utrecht University, The Netherlands
Amanda L. Scott
Affiliation:
The Strategy Team, Columbus, Ohio
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Summary

Over the last several years, the study of implicit bias has taken the world by storm. Implicit bias was even mentioned by the then candidate, Hillary Clinton, in a presidential debate in 2016. She went on to claim that implicit bias can have deadly consequences when Black men encounter law enforcement (for example, see Correll et al., 2002; Correll et al., 2007; Eberhardt et al., 2004). The controversy over police shootings of Black men and women has only intensified as evidenced by public outcry over the murder of George Floyd on May 25, 2020 and increasing public support for the “Black Lives Matter” movement and its calls for liberty, justice, and freedom (Cohn & Quealy, 2020). These current events are but one reason why the study of implicit bias has so captivated the attention of the larger public: reducing it seems to have the potential to solve real-world problems. One idea is that if police officers were made aware of their implicit bias or participated in training workshops to reduce implicit bias, then perhaps fewer Black people would end up dead, arrested, or disproportionately sentenced to receive the death penalty (Baumgartner et al., 2014; Eberhardt, 2020).

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The Cambridge Handbook of Implicit Bias and Racism , pp. 43 - 70
Publisher: Cambridge University Press
Print publication year: 2025

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References

Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888.CrossRefGoogle Scholar
Allport, G. W., Clark, K., & Pettigrew, T. (1954). The Nature of Prejudice. Cambridge, MA: Addison-Wesley.Google Scholar
Amodio, D. M. (2014). The neuroscience of prejudice and stereotyping. Nature Reviews Neuroscience, 15(10), 670.CrossRefGoogle ScholarPubMed
Avila, M., Parkin, H., & Galoostian, S. (2019). $16.7 Million to save one reputation: How Starbucks responded amidst a racial sensitivity crisis. Pepperdine Journal of Communication Research, 7, Article 4. Available at: https://digitalcommons.pepperdine.edu/pjcr/vol7/iss1/4Google Scholar
Axt, J. R., Nguyen, H., & Nosek, B. A. (2018). The judgment bias task: A flexible method for assessing individual differences in social judgment biases. Journal of Experimental Social Psychology, 76, 337–355.CrossRefGoogle Scholar
Bar-Anan, Y., & Nosek, B. A. (2014). A comparative investigation of seven indirect attitude measures. Behavior Research Methods, 46, 668–688.CrossRefGoogle ScholarPubMed
Barden, J., Maddux, W. W., Petty, R. E., et al. (2004). Contextual moderation of racial bias: The impact of social roles on controlled and automatically activated attitudes. Journal of Personality and Social Psychology, 87, 5–22.CrossRefGoogle ScholarPubMed
Baron, A. S., & Banaji, M. R. (2006). The development of implicit attitudes: Evidence of race evaluations from ages 6 and 10 and adulthood. Psychological Science, 17(1), 53–58.CrossRefGoogle ScholarPubMed
Baumgartner, F. R., Epp, D. A., & Love, B. (2014). Police searches of Black and White motorists. UNC-Chapel Hill, Department of Political Science.Google Scholar
Beckett, N. E., & Park, B. (1995). Use of category versus individuating information: Making base rates salient. Personality and Social Psychology Bulletin, 21(1), 21–31.CrossRefGoogle 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.CrossRefGoogle ScholarPubMed
Bobo, L., Kluegel, J. R., & Smith, R. A. (1997). Laissez-faire racism: The crystallization of a kinder, gentler, antiblack ideology. Racial Attitudes in the 1990s: Continuity and Change, 15, 23–25.Google Scholar
Brewer, M. B. (1999). The psychology of prejudice: Ingroup love and outgroup hate? Journal of Social Issues, 55, 429–444.CrossRefGoogle Scholar
Brownstein, M., Madva, A., & Gawronski, B. (2020). Understanding implicit bias: Putting the criticism in perspective. Pacific Philosophical Quarterly, 101, 276–307.CrossRefGoogle Scholar
Cacioppo, J. T., & Berntson, G. G. (1994). Relationship between attitudes and evaluative space: A critical review, with emphasis on the separability of positive and negative substrates. Psychological Bulletin, 115(3), 401–423.CrossRefGoogle Scholar
Calanchini, J., Lai, C. K., & Klauer, K. C. (2021). Reducing implicit racial preferences: III. A process-level examination of changes in implicit preferences. Journal of Personality and Social Psychology, 12(4), 796–818.CrossRefGoogle Scholar
Calanchini, J., & Sherman, J. W. (2013). Implicit attitudes reflect associative, non-associative, and non-attitudinal processes. Social and Personality Psychology Compass, 7, 654–667.CrossRefGoogle Scholar
Callegaro, M., Villar, A., Yeager, D. S., et al. (2014). A critical review of studies investigating the quality of data obtained with online panels based on probability and nonprobability samples. In Callegaro, M., Baker, R., Bethlehem, J., Goritz, A. S. & Krosnick, J. A. (Eds.), Online Panel Research: A Data Quality Perspective. Hoboken, NJ: John Wiley & Sons, pp. 23–53.CrossRefGoogle Scholar
Cohn, N., & Quealy, K. (2020, June 10). How public opinion has moved on Black Lives Matter. New York Times. Retrieved from: www.nytimes.com/interactive/2020/06/10/upshot/black-lives-matter-attitudes.htmlGoogle Scholar
Connor, P., & Evers, E. R. K. (2020). The bias of individuals (in crowds): Why implicit bias is probably a noisily measured individual level construct. Perspectives on Psychological Science, 15(6), 1329–1345.CrossRefGoogle ScholarPubMed
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.CrossRefGoogle ScholarPubMed
Correll, J., Park, B., Judd, C. M., et al. (2007). Across the thin blue line: Police officers and racial bias in the decision to shoot. Journal of Personality and Social Psychology, 92(6), 1006.CrossRefGoogle ScholarPubMed
Crookes, K., & McKone, E. (2009). Early maturity of face recognition: No childhood development of holistic processing, novel face encoding, or face-space. Cognition, 111(2), 219–247.CrossRefGoogle ScholarPubMed
Darity, W. Jr, Hamilton, D., Paul, M., et al. (2018). What we get wrong about closing the racial wealth gap. Samuel DuBois Cook Center on Social Equity and Insight Center for Community Economic Development.Google Scholar
De Houwer, J., Teige-Mocigemba, S., Spruyt, A., et al. (2009). Implicit measures: A normative analysis and review. Psychological Bulletin, 135, 347–368.CrossRefGoogle Scholar
Degner, J., & Wentura, D. (2010). Automatic prejudice in childhood and early adolescence. Journal of Personality and Social Psychology, 98(3), 356.CrossRefGoogle ScholarPubMed
Devine, P. G. (1989). Stereotypes and prejudice: Their automatic and controlled components. Journal of Personality and Social Psychology, 56, 5–18.CrossRefGoogle Scholar
Dobbin, F., & Kalev, A. (2018). Why doesn’t diversity training work? The challenge for industry and academia. Anthropology Now, 10(2), 48–55.CrossRefGoogle Scholar
Dovidio, J. F., Evans, N., & Tyler, R. B. (1986). Racial stereotypes: The contents of their cognitive representations. Journal of Experimental Social Psychology, 22(1), 22–37.CrossRefGoogle Scholar
Dovidio, J. F., Kawakami, K., & Beach, K. R. (2001). Implicit and explicit attitudes: Examination of the relationship between measures of intergroup bias. Blackwell Handbook of Social Psychology: Intergroup Processes, 4, 175–197.Google Scholar
Dovidio, J. F., Kawakami, K., Johnson, C., et al. (1997). On the nature of prejudice: Automatic and controlled processes. Journal of Experimental Social Psychology, 33(5), 510–540.CrossRefGoogle Scholar
Dunham, Y., Baron, A. S., & Banaji, M. R. (2006). From American city to Japanese village: A cross‐cultural investigation of implicit race attitudes. Child Development, 77(5), 1268–1281.CrossRefGoogle Scholar
Dunton, B. C., & Fazio, R. H. (1997). An individual difference measure of motivation to control prejudiced reactions. Personality and Social Psychology Bulletin, 23(3), 316–326.CrossRefGoogle Scholar
Eberhardt, J. L. (2020). Biased: Uncovering the Hidden Prejudice That Shapes What We See, Think and Do. New York, NY: Penguin Books.Google Scholar
Eberhardt, J. L., Goff, P. A., Purdie, V. J., et al. (2004). Seeing black: Race, crime, and visual processing. Journal of Personality and Social Psychology, 87(6), 876.CrossRefGoogle ScholarPubMed
Fazio, R. H., Jackson, J. R., 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.CrossRefGoogle Scholar
Fazio, R. H., Sanbonmatsu, D. M., Powell, M. C., et al. (1986). On the automatic activation of attitudes. Journal of Personality and Social Psychology, 50, 229–238.CrossRefGoogle ScholarPubMed
Fishbein, M., & Ajzen, I. (1974). Attitudes toward objects as predictors of single and multiple behavioral criteria. Psychological Review, 81, 59–74.CrossRefGoogle Scholar
Fishbein, M., & Ajzen, I. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888–918.Google Scholar
Freeman, J. B., & Ambady, N. (2010). MouseTracker: Software for studying real-time mental processing using a computer mouse-tracking method. Behavior Research Methods, 42(1), 226–241.CrossRefGoogle ScholarPubMed
Gaertner, S. L., & McLaughlin, J. P. (1983). Racial stereotypes: Associations and ascriptions of positive and negative characteristics. Social Psychology Quarterly, 46(1), 23–30.CrossRefGoogle Scholar
Gilbert, D. T., & Hixon, J. G. (1991). The trouble of thinking: Activation and application of stereotypic beliefs. Journal of Personality and Social Psychology, 60, 509–517.CrossRefGoogle Scholar
Gonsalkorale, K., Sherman, J. W., & Klauer, K. C. (2009). Aging and prejudice: Diminished regulation of automatic race bias among older adults. Journal of Experimental Social Psychology, 45(2), 410–414.CrossRefGoogle Scholar
Greenwald, A. G., & Banaji, M. R. (1995). Implicit social cognition: Attitudes, self-esteem, and stereotypes. Psychological Review, 102, 4–27.CrossRefGoogle ScholarPubMed
Greenwald, A. G., & Lai, C. K. (2020). Implicit social cognition. Annual Review of Psychology, 71, 419–445.CrossRefGoogle ScholarPubMed
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998). Measuring individual differences in implicit cognition: The Implicit Association Task. Journal of Personality and Social Psychology, 74, 1464–1480.CrossRefGoogle Scholar
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.CrossRefGoogle ScholarPubMed
Greenwald, A. G., Smith, C. T., Sriram, N., et al. (2009). Implicit race attitudes predicted vote in the 2008 US presidential election. Analyses of Social Issues and Public Policy, 9(1), 241–253.CrossRefGoogle Scholar
Han, A. H., Czellar, S., Olson, M. A., et al. (2010). Malleability of attitudes or malleability of the IAT. Journal of Experimental Social Psychology, 46, 286–298.CrossRefGoogle ScholarPubMed
Hehman, E., Flake, J. K., & Calanchini, J. (2018). Disproportionate use of lethal force in policing is associated with regional racial biases of residents. Social Psychological and Personality Science, 9, 393–401.CrossRefGoogle Scholar
Hirschfeld, L. A. (1996). Race in the Making. Cambridge, MA: MIT Press.CrossRefGoogle Scholar
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.CrossRefGoogle Scholar
Johnson, I., Petty, R. E., Briñol, P., et al. (2017). Persuasive message scrutiny as a function of implicit-explicit discrepancies in racial attitudes. Journal of Experimental Social Psychology, 70, 222–234.CrossRefGoogle Scholar
Jones, E. E., & Sigall, H. (1971). The bogus pipeline: A new paradigm for measuring affect and attitude. Psychological Bulletin, 76(5), 349.CrossRefGoogle Scholar
Jordan, C. H., Whitfield, M., & Zeigler-Hill, V. (2007). Intuition and the correspondence between implicit and explicit self-esteem. Journal of Personality and Social Psychology, 93(6), 1067.CrossRefGoogle ScholarPubMed
Kalmoe, N. P., & Piston, S. (2013). Is implicit prejudice against blacks politically consequential? Evidence from the AMP. Public Opinion Quarterly, 77(1), 305–322.CrossRefGoogle Scholar
Kang, J., Bennett, M., Carbado, D., et al. (2011). Implicit bias in the courtroom. UCLA Law Review, 59, 1124–1186.Google Scholar
Karpinski, A., & Steinman, R. B. (2006). The single category implicit association test as a measure of implicit social cognition. Journal of Personality and Social Psychology, 91, 16.CrossRefGoogle ScholarPubMed
Kihlstrom, J. F. (2004). Implicit methods in social psychology. In Sansone, C., Morf, C.D., & Panter, A.T. (Eds.), The Sage Handbook of Methods in Social Psychology, pp. 195–212. Thousand Oaks, CA: Sage Publications.Google Scholar
Kinder, D. R., & Ryan, T. J. (2017). Prejudice and politics re-examined: The political significance of implicit racial bias. Political Science Research and Methods, 2, 241–259.CrossRefGoogle Scholar
Kinder, D. R., Sanders, L. M., & Sanders, L. M. (1996). Divided by Color: Racial Politics and Democratic Ideals. Chicago, IL: University of Chicago Press.Google Scholar
Kinder, D. R., & Sears, D. O. (1981). Prejudice and politics: Symbolic racism versus racial threats to the good life. Journal of Personality and Social Psychology, 40(3), 414.CrossRefGoogle 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(5), 569–586.CrossRefGoogle ScholarPubMed
Langer, G., Baskakova, Y., Krosnick, J. A., et al. (2021). Public attitudes on implicit bias. In Stark, T. H., Krosnick, J. A., & Scott, A. L. (Eds.), The Cambridge Handbook of Implicit Bias and Racism. Cambridge: Cambridge University Press.Google Scholar
Leitner, J. B., Hehman, E., Ayduk, O., et al. (2016). Racial bias is associated with ingroup death rate for Blacks and Whites: Insights from project implicit. Social Science and Medicine, 170, 220–227.CrossRefGoogle Scholar
Lindgren, K. P., Baldwin, S. A., Olin, C. C., et al. (2018). Evaluating within-person change in implicit measures of alcohol associations: Increases in alcohol associations predict increases in drinking risk and vice versa. Alcohol and Alcoholism, 53, 386–393.CrossRefGoogle ScholarPubMed
Loersch, C., McCaslin, M. J., & Petty, R. E. (2011). Exploring the impact of social judgeability concerns on the interplay of associative and deliberative attitude processes. Journal of Experimental Social Psychology, 47, 1029–1032.CrossRefGoogle Scholar
Lowery, B. S., Hardin, C. D., & Sinclair, S. (2001). Social influence effects on automatic racial prejudice. Journal of Personality and Social Psychology, 81(5), 842.CrossRefGoogle ScholarPubMed
MacInnis, B., Krosnick, J. A., Ho, A. S., et al. (2018). The accuracy of measurements with probability and nonprobability survey samples: Replication and extension. Public Opinion Quarterly, 82(4), 707–744.CrossRefGoogle Scholar
Malhotra, N., & Krosnick, J. A. (2007). The effect of survey mode and sampling on inferences about political attitudes and behavior: Comparing the 2000 and 2004 ANES to Internet surveys with nonprobability samples. Political Analysis, 15(3), 286–323.CrossRefGoogle Scholar
McConahay, J. B. (1983). Modern racism and modern discrimination: The effects of race, racial attitudes, and context on simulated hiring decisions. Personality and Social Psychology Bulletin, 9(4), 551–558.CrossRefGoogle Scholar
Meyer, D. E., & Schvaneveldt, R. W. (1971). Facilitation in recognizing pairs of words: Evidence of a dependence between retrieval operations. Journal of Experimental Psychology, 90(2), 227.CrossRefGoogle ScholarPubMed
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
Murphy, S. T., & Zajonc, R. B. (1993). Affect, cognition, and awareness: Affective priming with optimal and suboptimal stimulus exposures. Journal of Personality and Social Psychology, 64(5), 723.CrossRefGoogle ScholarPubMed
Nosek, B. A., & Banaji, M. R. (2001). The go/no-go association task. Social Cognition, 19(6), 625–666.CrossRefGoogle 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.CrossRefGoogle ScholarPubMed
Orchard, J., & Price, J. (2017). County-level racial prejudice and the black–white gap in infant health outcomes. Social Science & Medicine, 181, 191–198.CrossRefGoogle ScholarPubMed
Pacini, R., & Epstein, S. (1999). The relation of rational and experiential information processing styles to personality, basic beliefs, and the ratio-bias phenomenon. Journal of Personality and Social Psychology, 76(6), 972.CrossRefGoogle ScholarPubMed
Pasek, J., & Krosnick, J. A. (2010). Measuring intent to participate and participation in the 2010 census and their correlates and trends: Comparisons of RDD telephone and non-probability sample Internet survey data. Statistical Research Division of the US Census Bureau, Survey Methodology Study Series, 2010(15).Google Scholar
Pasek, J., Tahk, A., Lelkes, Y., et al. (2009). Determinants of turnout and candidate choice in the 2008 US presidential election: Illuminating the impact of racial prejudice and other considerations. Public Opinion Quarterly, 73(5), 943–994.CrossRefGoogle Scholar
Payne, B. K., Burkley, M. A., & Stokes, M. B. (2008). Why do implicit and explicit attitude tests diverge? The role of structural fit. Journal of Personality and Social Psychology, 94, 16–31.CrossRefGoogle ScholarPubMed
Payne, B. K., Cheng, C. M., Govorun, O., et al. (2005). An inkblot for attitudes: Affect misattribution as implicit measurement. Journal of Personality and Social Psychology, 89, 277.CrossRefGoogle ScholarPubMed
Payne, B. K., Krosnick, J. A., Pasek, J., et al. (2010). Implicit and explicit prejudice in the 2008 American presidential election. Journal of Experimental Social Psychology, 46(2), 367–374.CrossRefGoogle Scholar
Payne, B. K., & Lundberg, K. B. (2014). The Affect Misattribution Procedure: Ten years of evidence on reliability, validity, and mechanisms. Social and Personality Psychology Compass, 8, 672–686.CrossRefGoogle 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, 233–248.CrossRefGoogle Scholar
Pérez, E. O. (2010). Explicit evidence on the import of implicit attitudes: The IAT and immigration policy judgments. Political Behavior, 32(4), 517–545.CrossRefGoogle Scholar
Petty, R. E., & Cacioppo, J. T. (1981). Attitudes and Persuasion: Classic and Contemporary Approaches. Dubuque, IA: William C. Brown.Google Scholar
Petty, R. E., Fazio, R. H., & Briñol, P. (Eds.) (2009). Attitudes: Insights from the New Implicit Measures. New York, NY: Psychology Press.Google Scholar
Petty, R. E., & Krosnick, J. A. (Eds.) (1995). Attitude Strength: Antecedents and Consequences. Mahwah, NJ: Erlbaum Associates.Google Scholar
Petty, R. E., Tormala, Z. L., Brinol, P., et al. (2006). Implicit ambivalence from attitude change: An exploration of the PAST model. Journal of Personality and Social Psychology, 90(1), 21.CrossRefGoogle ScholarPubMed
Petty, R. E., Wheeler, S. C., & Tormala, Z. L. (2003). Persuasion and attitude change. In Millon, T. & Lerner, M. J. (Eds.), Handbook of Psychology: Volume 5: Personality and Social Psychology. Hoboken, NJ: John Wiley & Sons, pp. 353–382.Google Scholar
Phelps, E. A., O’Connor, K. J., Cunningham, W. A., et al. (2000). Performance on indirect measures of race evaluation predicts amygdala activation. Journal of Cognitive Neuroscience, 12(5), 729–738.CrossRefGoogle ScholarPubMed
Piston, S. (2010). How explicit racial prejudice hurt Obama in the 2008 election. Political Behavior, 32(4), 431–451.CrossRefGoogle Scholar
Proshansky, H. M. (1943). A projective method for the study of attitudes. Journal of Abnormal and Social Psychology, 38(3), 393.CrossRefGoogle Scholar
Ranganath, K. A., Smith, C. T., & Nosek, B. A. (2008). Distinguishing automatic and controlled components of attitudes from direct and indirect measurement methods. Journal of Experimental Social Psychology, 44(2), 386–396.CrossRefGoogle ScholarPubMed
Schimmack, U. (2021). The implicit association test: A method in search of a construct. Perspectives on Psychological Science, 16(2), 396–414.CrossRefGoogle Scholar
Schneider, I. K., van Harreveld, F., Rotteveel, M., et al. (2015). The path of ambivalence: Tracing the pull of opposing evaluations using mouse trajectories. Frontiers in Psychology, 6, 996.CrossRefGoogle ScholarPubMed
Schneider, W., & Shiffrin, R. M. (1977). Controlled and automatic human information processing: I. Detection, search, and attention. Psychological Review, 84(1), 1.CrossRefGoogle Scholar
Schwarz, N. (2007). Attitude construction: Evaluation in context. Social Cognition, 25(5), 638–656.CrossRefGoogle Scholar
Sears, D. O. (1998). Racism and politics in the United States. In Eberhardt, J. L. & Fiske, S. T. (Eds.), Confronting Racism: The Problem and the Response. Thousand Oaks, CA: SAGE Publications, Inc., pp. 76–100.Google Scholar
Sears, D. O., & Henry, P. J. (2003). The origins of symbolic racism. Journal of Personality and Social Psychology, 85(2), 259.CrossRefGoogle ScholarPubMed
Sears, D. O., & Kinder, D. R. (1971). Racial tension and voting in Los Angeles (Vol. 156). Institute of Government and Public Affairs, University of California.Google Scholar
Sekaquaptewa, D., Espinoza, P., Thompson, M., et al. (2003). Stereotypic explanatory bias: Implicit stereotyping as a predictor of discrimination. Journal of Experimental Social Psychology, 39, 75–82.CrossRefGoogle Scholar
Spencer, S. J., Fein, S., & Wolfe, C. T., et al. (1998). Automatic activation of stereotypes: The role of self-image threat. Personality and Social Psychology Bulletin, 24(11), 1139–1152.CrossRefGoogle Scholar
Stewart, B. D., von Hippel, W., & Radvansky, G. A. (2009). Age, race, and implicit prejudice: Using process dissociation to separate the underlying components. Psychological Science, 20, 164–168.CrossRefGoogle ScholarPubMed
Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643–662.CrossRefGoogle Scholar
Tesler, M., & Sears, D. O. (2010). Obama’s Race: The 2008 Election and the Dream of a Post-racial America. Chicago, IL: University of Chicago Press.CrossRefGoogle Scholar
Traugott, M. (2012). Methodological trends and controversies in the media’s use of opinion polls. In Holtz-Bacha, C. & Strömbäck, J. (Eds.), Opinion Polls and the Media. London: Palgrave Macmillan.Google Scholar
Vallacher, R. R., Nowak, A., Froehlich, M., et al. (2002). The dynamics of self-evaluation. Personality and Social Psychology Review, 6(4), 370–379.CrossRefGoogle Scholar
Vallacher, R. R., Nowak, A., & Kaufman, J. (1994). Intrinsic dynamics of social judgment. Journal of Personality and Social Psychology, 67, 20–34.CrossRefGoogle Scholar
Vargas, P. T., von Hippel, W., & Petty, R. E. (2004). Using “partially structured” attitude measures to enhance the attitude–behavior relationship. Personality and Social Psychology Bulletin, 30, 197–211.CrossRefGoogle Scholar
von Hippel, W., Sekaquaptewa, D., & Vargas, P. (1997). The Linguistic Intergroup Bias as an implicit indicator of prejudice. Journal of Experimental Social Psychology, 33, 490–509.CrossRefGoogle Scholar
von Hippel, W., Silver, L. A., & Lynch, M. E. (2000). Stereotyping against your will: The role of inhibitory ability in stereotyping and prejudice among the elderly. Personality and Social Psychology Bulletin, 26, 523–532.CrossRefGoogle 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
Wilson, T. D., Lindsey, S., & Schooler, T. Y. (2000). A model of dual attitudes. Psychological Review, 107, 101–126.CrossRefGoogle Scholar
Wittenbrink, B., Judd, C. M., & Park, B. (2001). Spontaneous prejudice in context: Variability in automatically activated attitudes. Journal of Personality and Social Psychology, 81, 815–827.CrossRefGoogle ScholarPubMed
Wittenbrink, B., & Schwarz, N. (Eds.). (2007). Implicit Measures of Attitudes. London: Guilford Press.Google Scholar
Yeager, D. S., Krosnick, J. A., Visser, P. S. (2019). Moderation of classic social psychological effects by demographics in the U.S. adult population: New opportunities for theoretical advancement. Journal of Personality and Social Psychology, 117(6), e84–e99.CrossRefGoogle ScholarPubMed
Ziegert, J. C., & Hanges, P. J. (2005). Employment discrimination: The role of implicit attitudes, motivation, and a climate for racial bias. Journal of Applied Psychology, 90(3), 553.CrossRefGoogle Scholar

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