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Sequential Priming Measures of Implicit Social Cognition: A Meta-Analysis of Associations With Behavior and Explicit Attitudes
Abstract
In a comprehensive meta-analysis of 167 studies, the authors found that sequential priming tasks were significantly associated with behavioral measures (r = .28) and with explicit attitude measures (r = .20). Priming tasks continued to predict behavior after controlling for the effects of explicit attitudes. These results generalized across a variety of study domains and methodological variations. Within-study moderator analyses revealed that priming tasks have good specificity, only predicting behavior and explicit measures under theoretically expected conditions. Together, these results indicate that sequential priming-one of the earliest methods of investigating implicit social cognition--continues to be a valid tool for the psychological scientist.
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“participants showed high accuracy in predicting their IAT scores although self-reported evaluations on direct measures showed the same small correlations with IAT scores found in prior research (for meta-analyses, see Cameron et al. 2012, Hofmann et al. 2005).”
From Unawareness of Attitudes, Their Environmental Causes, and Their Behavioral Effects (2025) · cites this paper as Cameron et al. 2012
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“In addition, 28 samples reported all three relationships—priming behavior, priming attitudes, and attitudes behavior—allowing us to examine whether implicit attitudes predicted behavior significantly better than explicit attitudes (Steiger, 1980).”
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“A metaanalysis of priming studies found strong support for dual processing as an explanation for a variety of within-study moderators (Cameron et al., 2012).”
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“…studies designed to test the hypothesized dissociation, these considerations explain why the full dissociation pattern emerged only in metaanalytic comparisons of behavioral criteria within studies, but not in meta-analytic comparisons of behavioral criteria between studies (Cameron et al., 2012).”
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“Whether implicit measures can predict behavior when controlling for explicit attitudes revealed mixed results (e.g., Ayres et al., 2012; Cameron et al., 2012).”
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Using ERPs to investigate valence processing in the affect misattribution procedure
Gunten, C. D. V., Bartholow, B. D., & Scherer, L. D. (2016) · Psychophysiology · doi:10.1111/psyp.12773 · Cited by 11
“Much progress has been made in understanding the mechanisms underlying the AMP (e.g., Bar-Anan & Nosek, 2012; Cameron et al., 2012; Gawronski & Ye, 2014a, 2014b; Hashimoto, Minami, & Nakauchi, 2012; Oikawa, Aarts, & Oikawa, 2011; Payne et al., 2013; Scherer & Lambert, 2009).”
BackgroundThe Rorschach Comprehensive System (CS) Psychometric Validity of Individual Variables
Tibon-Czopp, S., & Zeligman, R. (2016) · Journal of Personality Assessment · doi:10.1080/00223891.2015.1131162 · Cited by 10
Mitchell, G., & Tetlock, P. (2015) · Emerging Trends in the Social and Behavioral Sciences · doi:10.1002/9781118900772.etrds0177 · Cited by 10
Hahn, A., & Gawronski, B. (2015) · Elsevier eBooks · doi:10.1016/b978-0-08-097086-8.24066-x · Cited by 43
“Implicit measures are often used as tools to predict meaningful psychological outcomes (e.g., behavior, decisions), and recent meta-analyses tend to support their predictive validity (e.g., Cameron et al., 2012; Greenwald et al., 2009).”
BackgroundMethodResultInfluentialAgeism and Age Discrimination at the Workplace—a Psychological Perspective
Couto, M. C. P. D. P., & Rothermund, K. (2019) · Vorurteile im Arbeitsleben · doi:10.1007/978-3-662-59232-8_4 · Cited by 10
Valence and arousal-based affective evaluations of foods
Woodward, H. E., Treat, T. A., Cameron, C. D., & Yegorova, V. (2016) · Eating Behaviors · doi:10.1016/j.eatbeh.2016.11.004 · Cited by 13
Self-citationThe impact of universal mental health screening on stigma in primary schools
Songco, A., Francis, D. A., McDermott, E. A., Lim, C. Y. S., Allsop, A., Croguennec, J., Sicouri, G., Mackinnon, A. J., & Hudson, J. L. (2025) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/s13034-024-00854-5 · Cited by 12
What Implicit Measures of Bias Can Do
Melnikoff, D. E., & Kurdi, B. (2022) · Psychological Inquiry · doi:10.1080/1047840x.2022.2106759 · Cited by 14
Implicit and Explicit Age Stereotypes Assessed in the Same Contexts are Still Independent
Huang, T., & Rothermund, K. (2022) · Experimental Aging Research · doi:10.1080/0361073x.2022.2039507 · Cited by 15
“A meta-analysis by Cameron, Brown-Iannuzzi, and Payne (2012) reported small to mediumsized correlations between sequential priming tasks and explicit attitude measures (average r = .20).”
BackgroundBlum, A., Hazlett, C. J., & Posner, D. (2021) · Political Analysis · doi:10.1017/pan.2020.37 · Cited by 13
“35 We note also that in a review of AMP studies (Cameron et al. 2012), the aforementioned strong relationship between AMP measures and behaviors occurs only where social desirability bias is relatively low, and disappears (r = −0.”
BackgroundResultInfluentialLateral Attitude Change: Stalking the Elusive Displacement Effect
Linne, R., Glaser, T., Pum, K., & Bohner, G. (2020) · Social Cognition · doi:10.1521/soco.2020.38.4.324 · Cited by 7
Römer, U., Schaak, H., & Mußhoff, O. (2019) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2019.101346 · Cited by 11
Pointing fingers at others: The neural correlates of actor-observer asymmetry in blame attribution
Chen, C., Martínez, R. M., Chen, Y., & Cheng, Y. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107281 · Cited by 8
Priming Designers Leads to Prime Designs
She, J., Seepersad, C., Hölttä-Otto, K., & MacDonald, E. (2018) · Understanding innovation · doi:10.1007/978-3-319-60967-6_13 · Cited by 9
Todd, A. R., & Simpson, A. J. (2017) · European Journal of Social Psychology · doi:10.1002/ejsp.2204 · Cited by 9
Unhealthy how? Implicit and explicit affective evaluations of different types of unhealthy foods.
Woodward, H. E., & Treat, T. A. (2015) · Eating Behaviors · doi:10.1016/j.eatbeh.2014.12.011 · Cited by 9
Winkelmair, A., & Jansen, P. (2024) · Appetite · doi:10.1016/j.appet.2024.107554 · Cited by 9
The Role of Implicit Biases and Explicit Attitudes Toward the Poor in Donation Choices
Fung, J. J., Fung, W. T. W., Rosales, A., Jin, J., & Pettit, R. M. (2022) · Nonprofit and Voluntary Sector Quarterly · doi:10.1177/08997640211073530 · Cited by 10
“Meta-analyses revealed small to small-to-medium effect sizes between individual’s scores on implicit and explicit measures with estimates of correlations to be between r = .14 to .28 (e.g., Cameron et al., 2012; Oswald et al., 2013).”
BackgroundHow a crisis mindset activates intuitive decision process: role of inattentional blindness
Shi, Y. T., & Li, H. (2020) · Psychological Research · doi:10.1007/s00426-019-01281-4 · Cited by 12
Dissociating automatic associations: Comparing two implicit measurements of race bias
Volpert‐Esmond, H. I., Scherer, L. D., & Bartholow, B. D. (2019) · European Journal of Social Psychology · doi:10.1002/ejsp.2655 · Cited by 9
“Sequential priming effects are theorized to occur either through semantic priming (see Cameron et al., 2012; Gawronski & Hahn, 2019; Wentura & Degner, 2010) or through response priming (see Bartholow, Riordan, Saults, & Lust, 2009; Klinger, Burton, & Pitts, 2000).”
Implicit Bias Reflects the Personal and the Social
Rivers, A. M., Rees, H. R., Calanchini, J., & Sherman, J. W. (2017) · Psychological Inquiry · doi:10.1080/1047840x.2017.1373549 · Cited by 11
“Consequently, we have a very good idea of how strongly individual implicit bias corresponds to behavior, with estimates ranging from r D .14 (Oswald et al., 2013) to .28 (Cameron et al., 2012).”
BackgroundWalker, R. J., Smallman, R., Summerville, A., & Deska, J. C. (2016) · Social Cognition · doi:10.1521/soco.2016.34.4.3 · Cited by 8
The use of implicit measures in service research: Why, how, when and what is the way forward?
Verhulst, N., Slabbinck, H., Willems, K., & Brengman, M. (2024) · Journal of Services Marketing · doi:10.1108/jsm-10-2023-0401 · Cited by 7
Moors, A., & Köster, M. (2022) · Wiley Interdisciplinary Reviews: Cognitive Science · doi:10.1002/wcs.1611 · Cited by 7
Implicit Bias Reflects the Company That Words Keep
Hauser, D. J., & Schwarz, N. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.871221 · Cited by 7
“The detrimental effects of implicit bias have been welldocumented (Nosek et al., 2002; Greenwald et al., 2009; Cameron et al., 2012).”
BackgroundConstructing Explicit Prejudice: Evidence From Large Sample Datasets
Lee, K. M., Lindquist, K. A., & Payne, B. K. (2022) · Personality and Social Psychology Bulletin · doi:10.1177/01461672221075926 · Cited by 7
“The size of this relationship is consistent with prior research examining the relationship between implicit and explicit measures of intergroup bias (e.g., Cameron et al., 2012; Nosek et al., 2007; Payne et al., 2005).”
ResultSelf-citationAmbivalent perceptions of the Other: Towards a dual-process sociology of intercultural relations
Høy-Petersen, N. (2021) · Acta Sociologica · doi:10.1177/00016993211028885 · Cited by 7
“Indeed, psychological research supports this notion, finding that people can, for example, make relatively accurate predictions of their own scores on an Implicit Association Test which measures automatic attitudes (Cameron et al., 2012; see also, Hahn et al., 2014).”
BackgroundJansen, P., Schroter, F. A., & Hofmann, P. (2021) · Psychological Research · doi:10.1007/s00426-021-01536-z · Cited by 12
Bajo, M., Stavraki, M., Blanco, A., & Díaz, D. (2020) · Journal of Happiness Studies · doi:10.1007/s10902-020-00332-7 · Cited by 7
Paulus, A., Renn, K., & Wentura, D. (2019) · Biological Psychology · doi:10.1016/j.biopsycho.2018.12.009 · Cited by 8
Cooley, E., Lei, R. F., Brown-Iannuzzi, J. L., & Ellerkamp, T. (2018) · Personality and Social Psychology Bulletin · doi:10.1177/0146167218796787 · Cited by 6
“After all, implicit biases are worthy of focus given that they can predict discrimination and prejudice even in the absence of intent to discriminate (Cameron et al., 2012; Dovidio et al., 2002; McConnell & Leibold, 2001).”
BackgroundSelf-citationMartin, M. J., Sturge-Apple, M. L., Davies, P. T., & Romero, C. (2017) · Developmental Psychology · doi:10.1037/dev0000334 · Cited by 7
Influence of information sources on escape judgment with intuition and after deliberation
Li, H., Shi, Y. T., Zhang, Y., Huang, L., & Gao, A. A. (2015) · Safety Science · doi:10.1016/j.ssci.2015.03.024 · Cited by 8
Social-psychological evidence for the effective updating of implicit attitudes.
Mann, T. C., Cone, J., & Ferguson, M. (2015) · Behavioral and Brain Sciences · doi:10.1017/s0140525x14000223 · Cited by 7
Maisto, M., Slaby, R. J., & Actis-Grosso, R. (2023) · International journal of human computer interactions · doi:10.1080/10447318.2023.2276530 · Cited by 6
“Nevertheless, these findings are coherent with results of several meta-analyses, which report that correlations between implicit and explicit measures tend to be low over-all (Cameron et al., 2012; Hofmann et al., 2005).”
Kaskeleviciute, R., Knupfer, H., & Matthes, J. (2023) · Mass Communication & Society · doi:10.1080/15205436.2023.2268097 · Cited by 6
“…validity of implicit measures (see for instance Azar, 2008; Oswald et al., 2013), the AMP builds on repeated priming and evaluations of ambiguous targets and was generally found to be reliable throughout different study contexts (Cameron et al., 2012; Payne & Lundberg, 2014; Payne et al., 2005).”
BackgroundImplicit Association Test (IAT) toward Climate Change: a PRISMA Systematic Review
Fiorenza, M., Duradoni, M., Barbagallo, G., & Guazzini, A. (2023) · Current Research in Ecological and Social Psychology · doi:10.1016/j.cresp.2023.100103 · Cited by 6
Anomalies in implicit attitudes research: Not so easily dismissed.
Machery, E. (2022) · Wiley Interdisciplinary Reviews: Cognitive Science · doi:10.1002/wcs.1591 · Cited by 6
Metadata
- Authors
- Cameron, C. D., Brown-Iannuzzi, J. L., & Payne, B. K.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Venue
- Personality and Social Psychology Review
- Publisher
- SAGE Publications
- Published
- 2012-04-05
- Volume
- 16
- Issue
- 4
- Pages
- 330-350
- ISSN
- 1088-8683 (ISSN-L)
- 1532-7957
- OpenAlex
- W2118525092
- Cited by
- 352
- References
- 0
- Citations by year
- 2026: 10 · 2025: 21 · 2024: 25 · 2023: 21 · 2022: 34 · 2021: 34 · 2020: 27 · 2019: 33 · 2018: 27 · 2017: 26 · 2016: 35 · 2015: 24 · 2014: 25 · 2013: 7 · 2012: 2
- FWCI
- 63.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Personality and Social Psychology Review (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Social Psychology › Psychology of Social Influence
- Keywords
- sequential priming, implicit social cognition, implicit attitudes, explicit attitudes, behavior prediction, moderator analysis
- MeSH terms
- Attitude, Cognition, Humans, Models, Psychological, Social Behavior, Repetition Priming
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