Abstract
Many past cannabis prevention campaigns have proven largely ineffective due in part to the diversity of adolescents’ cannabis-relevant beliefs. The current studies evaluated the impact of a sequential multiple message approach tailored to the usage norms of adolescents expressing negative attitudes toward a cannabis prevention appeal. A multiple-message strategy was implemented—initial unfavorable message evaluations were invalidated using attitudinal rebuttal feedback prior to presenting a third tailored communication. Participants were cannabis-abstinent middle and high school students (ages 11 to 16). Study 1 (N = 808) compared effects of gain- and loss-framed messages tailored to each student’s normative usage perceptions. In Study 2 (N = 391), students were randomly assigned to receive a tailored or non-tailored message after receiving feedback meant to destabilize anti-message attitudes. For at-risk adolescents in Study 1 who perceived cannabis use as normative, a tailored gain-framed message resulted in the lowest usage intentions (p < .05). In Study 2, a conditional multiple-moderated mediation model showed that for high-risk teens with normative beliefs and pro-cannabis attitudes, exposure to a tailored gain-framed communication was associated with decreased cannabis attitude certainty, and lower usage intentions 2 months later (p < .05). Findings have implications for sequential messaging utilization in mass media campaigns and support the efficacy of tailored messages over a one-size-fits-all media approach. Further, results suggest that systematically weakening resistance to persuasive communications and tailoring messages consistent with individually perceived peer norms is an effective prevention strategy.
Similar content being viewed by others
Notes
No significant differences in the treatment were shown based on grade level. As such, student grade was not included as a factor in the final model.
Analyses showed a significant difference in ad evaluations between the two messages randomly assigned to respondents (p < .05). Message was included as a factor in a preliminary analysis, but did not have a significant impact on intentions or the effect of the treatment and so was removed from subsequent analyses.
We assessed differences between subjects lost through attrition and those retained. Analysis revealed students assessed at both time points had higher GPAs and were more likely to be Hispanic than those who dropped out. No other systematic difference emerged.
Conditional indirect effect of X on Y through Mi = (a1i + a4iW + a5iZ + a7iWZ) bi
Direct effect of X on Y = c'
References
Albarracin, D., Johnson, B. T., Fishbein, M., & Muellerleile, P. A. (2001). Theories of reasoned action and planned behavior as models of condom use: A meta-analysis. Psychological Bulletin, 127,142–161. https://doi.org/10.1037/0033-2909.127.1.142
Alvaro, E. M., & Crano, W. D. (1997). Indirect minority influence: Evidence for leniency in source evaluation and counterargumentation. Journal of Personality and Social Psychology, 72,949–964. https://doi.org/10.1037/0022-3514.72.5.949
Alvaro, E. M., Crano, W. D., Siegel, J. T., Hohman, Z., Johnson, I., & Nakawaki, B. (2013). Adolescents’ attitudes toward antimarijuana ads, usage intentions, and actual marijuana usage. Psychology of Addictive Behaviors, 27,1027–1035. https://doi.org/10.1037/a0031960
Bingham, C. R., Barretto, A. I., Walton, M. A., Bryant, C. M., Shope, J. T., & Raghunathan, T. E. (2010). Efficacy of a web-based, tailored, alcohol prevention/intervention program for college students: Initial findings. Journal of American College Health, 58,349–356. https://doi.org/10.1080/07448480903501178
Blanton, H., & Burkley, M. (2008). Deviance regulation theory: Applications to adolescent social influence. In M. J. Prinstein, & K. A. Dodge (Eds.), Understanding peer influence in children and adolescents. (Duke series in child development and public policy). New York, NY US: Guilford Press, 94–121.
Botvin, G. J., Botvin, E. M., Baker, E., Dusenbury, L., & Goldberg, C. J. (1992). The false consensus effect: predicting adolescents’ tobacco use from normative expectations. Psychological Reports, 70,171–178.
Cialdini, R. B., & Trost, M. R. (1998). Social influence, social norms, conformity and compliance. In D. T. Gilbert, S. T. Fiske, & G. Lindzey (Eds.), The Handbook of Social Psychology. (McGraw-Hill), 151–192.
Cooke, R., Dahdah, M., Norman, P., & French, D. P. (2016). How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis. Health Psychology Review, 10,148–167. https://doi.org/10.1080/17437199.2014.947547
Crano, W. D., Alvaro, E. M., Tan, C. N., & Siegel, J. T. (2017). Social mediation of persuasive media in adolescent substance prevention. Psychology of Addictive Behaviors, 31,479–487. https://doi.org/10.1037/adb0000265
Crano, W. D., & Chen, X. (1998). The leniency contract and persistence of majority and minority influence. Journal of Personality and Social Psychology, 74,1437–1450. https://doi.org/10.1037/0022-3514.74.6.1437
Crano, W. D., Donaldson, C. D., Siegel, J. T., Alvaro, E. M., & O’Brien, E. K. (2019). Selective invalidation of ambivalent pro-marijuana attitude components. Addictive Behaviors, 97,77–83.
Crano, W. D., & Seyranian, V. (2009). How minorities prevail: The context/comparison-leniency contract model. Journal of Social Issues, 65,335–363. https://doi.org/10.1111/j.1540-4560.2009.01603.x
Crano, W. D., Siegel, J. T., Alvaro, E. M., Lac, A., & Hemovich, V. (2008). The at-risk adolescent marijuana nonuser: Expanding the standard distinction. Prevention Science, 9,129–137.
Dijkstra, A., & Ballast, K. (2012). Personalization and perceived personal relevance in computer-tailored persuasion in smoking cessation. British journal of health psychology, 17,60–73. https://doi.org/10.1111/j.2044-8287.2011.02029.x
Donaldson, C. D., Siegel, J. T., & Crano, W. D. (2016). Nonmedical use of prescription stimulants in college students: Attitudes, intentions, and vested interest. Addictive Behaviors, 53,101–107. https://doi.org/10.1016/j.addbeh.2015.10.007
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41,1149–1160.
Gallagher, K. M., & Updegraff, J. A. (2012). Health message framing effects on attitudes, intentions, and behavior: A meta-analytic review. Annals of behavioral medicine, 43,101–116. https://doi.org/10.1007/s12160-011-9308-7
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate data analysis (7 ed.): Pearson Prentice Hall: Upper Saddle River, NJ.
Hayes, A. F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling. [White paper]. Retrieved from http://www.afhayes.comm/public/process2012.pdf
Hirsh, J. B., Kang, S. K., & Bodenhausen, G. V. (2012). Personalized persuasion tailoring persuasive appeals to recipients’ personality traits. Psychological Science, 23,578–581. https://doi.org/10.1177/0956797611436349
Hohman, Z. P., Crano, W. D., Siegel, J. T., & Alvaro, E. M. (2014). Attitude ambivalence, friend norms, and adolescent drug use. Prevention Science, 15,65–74.
Hornik, R. C., Jacobsohn, L., Orwin, R., Piesse, A., & Kalton, G. (2008). Effects of the National Youth Anti-drug Media Campaign on youths. American Journal of Public Health, 98,2229–2236. https://doi.org/10.2105/ajph.2007.125849
Hornik, R. C., Judkins, D., Golub, A., Johnson, B., & Duncan, D. (2000). Evaluation of the national youth anti-drug media campaign: Historical trends in drug use and design of the phase III evaluation, https://www.ncjrs.gov/App/abstractdb/AbstractDBDetails.aspx?id=183775
Li, A. S. W., Figg, G., & Schüz, B. (2019). Socioeconomic status and the prediction of health promoting dietary behaviours: A systematic review and meta-analysis based on the theory of planned behaviour. Applied Psychology: Health and Well-Being, 11,382–406. https://doi.org/10.1111/aphw.12154
Miech, R. A., Schulenberg, J. E., Johnston, L. D., Bachman, J. G., O'Malley, P. M., & Patrick, M. E. (2019). "National Adolescent Drug Trends in 2019: Findings Released" Monitoring the Future: Ann Arbor, MI. Retrieved 11/15/2020 from http://www.monitoringthefuture.org
Noar, S. M., Benac, C. N., & Harris, M. S. (2007). Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychological Bulletin, 133,673–693. https://doi.org/10.1037/0033-2909.133.4.673
Perkins, H. W. (2002). Social norms and the prevention of alcohol misuse in collegiate contexts. Journal of Studies on Alcohol, 164-172.
Perkins, H. W. (2003). The social norms approach to preventing school and college age substance abuse: A handbook for educators, counselors, and clinicians. Jossey-Bass.
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior research methods, 40,879–891.
Rothman, A. J., & Salovey, P. (1997). Shaping perceptions to motivate healthy behavior: The role of message framing. Psychological Bulletin, 121,3–19. https://doi.org/10.1037/0033-2909.121.1.3
Siegel, J. T., Donaldson, C. D., & Crano, W. D. (2019). Application of vested interest theory to prevention of non-medical prescription stimulant and marijuana use: Unforeseen benefits of attitude-behavior inconsistency. Drug and Alcohol Dependence, 194,210–215.
Snyder, L. B., Hamilton, M. A., Mitchell, E. W., Kiwanuka-Tondo, J., Fleming-Milici, F., & Proctor, D. (2004). A meta-analysis of the effect of mediated health communication campaigns on behavior change in the United States. Journal of Health Communication, 9,71–96. https://doi.org/10.1080/10810730490271548
Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson Education.
Tormala, Z. L. (2008). A new framework for resistance to persuasion: The resistance appraisals hypothesis. In W. D. Crano, & R. Prislin (Eds.), Attitudes and attitude change. (Frontiers of social psychology). New York, NY US: Psychology Press, 213-234.
Tormala, Z. L., DeSensi, V. L., & Petty, R. E. (2007). Resisting persuasion by illegitimate means: A metacognitive perspective on minority influence. Personality and Social Psychology Bulletin, 33,354–367. https://doi.org/10.1177/0146167206295004
Tormala, Z. L., & Petty, R. E. (2002). What doesn’t kill me makes me stronger: The effects of resisting persuasion on attitude certainty. Journal of Personality and Social Psychology, 83,1298–1313.
Zimmerman, R., Cupp, P. K., Abadi, M., Donohew, R. L., Gray, C., Gordon, L., et al. (2014). The effects of framing and fear on ratings and impact of antimarijuana PSAs. Substance Use and Misuse, 49,824–835.
Funding
Funding was supported in part by the National Institute on Drug Abuse Grant R01-DA032698. NIDA had no role in the study design, collection, analysis or interpretation of the data, writing the manuscript, or the decision to submit the paper for publication.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Ethical Approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed Consent
Informed consent was obtained from all parents and youth participants included in the study.
Conflict of Interest
The authors declare that they have no conflicts of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Donaldson, C.D., Alvaro, E.M., Ruybal, A.L. et al. A Rebuttal-Based Social Norms-Tailored Cannabis Intervention for At-Risk Adolescents. Prev Sci 22, 609–620 (2021). https://doi.org/10.1007/s11121-021-01224-9
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11121-021-01224-9