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Investigating the Potential Impact of Social Talk on Prevention Through Social Networks: the Relationships Between Social Talk and Refusal Self-Efficacy and Norms

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Abstract

Interpersonal communication among participants plays an important role in the impact and effectiveness of prevention programs (Southwell & Yzer, Communication Theory 19:1–8, 2009). This study focused on adolescents’ informal conversations about a prevention program, referred to as social talk, from a social network perspective. We provide both a conceptualization of social talk in relation to prevention programs and an operationalization of it by examining adolescents’ social networks. Participants (N = 185) were eighth-grade students attending a middle school substance-abuse prevention program called keepin’ it REAL (kiR). Participants engaged in both positive and negative social talk about kiR. Students with higher friendship indegree centrality were more likely to have greater positive social talk indegree centrality (r = .23 p < .01). These results indicated that youth considered as friends by most of their classmates were also reported as being positive in their comments with respect to kiR. Youth who talked positively about kiR tended to report personal anti-substance injunctive norms (b = 0.71, p < .05). On the other hand, youth who were nominated as negative social talkers by their peers appeared to have less personal anti-substance injunctive norms (b = −0.92, p < .05). Furthermore, youth who were more likely to talk negatively about kiR were less likely to perceive that their best friends (b = −1.66, p < .05) or most youth in their age (b = −1.49, p < .05) disapprove of substance use.

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References

  • Alexandrov, A., Lilly, B., & Babakus, E. (2013). The effects of social-and self-motives on the intentions to share positive and negative word of mouth. Journal of the Academy of Marketing Science, 41, 531–546.

    Article  Google Scholar 

  • Bennett, S. E., Flickinger, R. S., & Rhine, S. L. (2000). Political talk over here, over there, over time. British Journal of Political Science, 30, 99–119.

    Article  Google Scholar 

  • Berdahl, J. L., & Martorana, P. (2006). Effects of power on emotion and expression during a controversial group discussion. European Journal of Social Psychology, 36, 497–509.

    Article  Google Scholar 

  • Borgatti, S. P., & Cross, R. (2003). A relational view of information seeking and learning in social networks. Management Science, 49, 432–445.

    Article  Google Scholar 

  • Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). Ucinet for windows: Software for social network analysis. Harvard: Analytic Technologies.

    Google Scholar 

  • Borenstein, M., Hedges, L., Higgins, J., & Rothstein, H. (2005). Comprehensive meta-analysis, version2. Englewood: Biostat Inc.

    Google Scholar 

  • Boster, F. J., Carpenter, C. J., Andrews, K. R., & Mongeau, P. A. (2012). Employing interpersonal influence to promote multivitamin use. Health Communication, 27, 399–407.

    Article  PubMed  Google Scholar 

  • Boster, F. J., Kotowski, M. R., Andrews, K. R., & Serota, K. (2011). Identifying influence: Development and validation of the connectivity, persuasiveness, and maven scales. Journal of Communication, 61, 178–196.

    Article  Google Scholar 

  • Burt, R. S. (2005). Brokerage and closure: An introduction to social capital: an introduction to social capital. Oxford: OUP.

    Google Scholar 

  • Carpenter, C. M., & Howard, D. (2009). Development of a drug use resistance self-efficacy (DURSE) scale. American Journal of Health Behavior, 33, 147–157.

    Article  PubMed  Google Scholar 

  • Choi, H. J., Krieger, J. L., & Hecht, M. L. (2013). Reconceptualizing efficacy in substance use prevention research: Refusal response efficacy and drug resistance self-efficacy in adolescent substance use. Health Communication, 28, 40–52.

    Article  PubMed  PubMed Central  Google Scholar 

  • Cialdini, R. B., Reno, R. R., & Kallgren, C. A. (1990). A focus theory of normative conduct: Recycling the concept of norms to reduce littering in public places. Journal of Personality and Social Psychology, 58, 1015–1026.

    Article  Google Scholar 

  • Colby, M., Hecht, M. L., Miller-Day, M., Krieger, J. L., Syvertsen, A. K., Graham, J. W., & Pettigrew, J. (2013). Adapting school-based substance use prevention curriculum through cultural grounding: A review and exemplar of adaptation processes for rural schools. American Journal of Community Psychology, 51, 190–205.

    Article  PubMed  PubMed Central  Google Scholar 

  • Cuijpers, P. (2002). Effective ingredients of school-based substance prevention programs: A systematic review. Addictive Behaviors, 27, 1009–1023.

    Article  PubMed  Google Scholar 

  • De Matos, C. A., & Rossi, C. A. V. (2008). Word-of-mouth communications in marketing: A meta-analytic review of the antecedents and moderators. Journal of the Academy of Marketing Science, 36, 578–596.

    Article  Google Scholar 

  • Elek, E., Miller-Day, M., & Hecht, M. L. (2006). Influences of personal, injunctive, and descriptive norms on early adolescent substance use. Journal of Drug Issues, 36, 147–172.

    Article  Google Scholar 

  • Freeman, L. C. (1979). Centrality in social networks conceptual clarification. Social Networks, 1, 215–239.

    Article  Google Scholar 

  • Gao, C. (2013). A sociolinguistic study of English taboo language. Theory and Practice in Language Studies, 3, 2310–2314.

    Google Scholar 

  • Gest, S. D., Graham-Bermann, S. A., & Hartup, W. W. (2001). Peer experience: Common and unique features of number of friendships, social network centrality, and sociometric status. Social Development, 10, 23–40.

    Article  Google Scholar 

  • Goldenberg, J., Libai, B., & Muller, E. (2001). Talk of the network: A complex systems look at the underlying process of word-of-mouth. Marketing Letters, 12, 211–223.

    Article  Google Scholar 

  • Greenberg, M. T., & Abenavoli, R. (2017). Universal interventions: Fully exploring their impacts and potential to produce population-level impacts. Journal of Research on Educational Effectiveness, 10, 40–67.

    Article  Google Scholar 

  • Grosser, T. J., Lopez-Kidwell, V., & Labianca, G. (2010). A social network analysis of positive and negative gossip in organizational life. Group & Organization Management, 35, 177–212.

    Article  Google Scholar 

  • Hansen, W. B., & Graham, J. W. (1991). Preventing alcohol, marijuana, and cigarette use among adolescents: Peer pressure resistance training versus establishing conservative norms. Preventive Medicine, 20, 414–430.

    Article  CAS  PubMed  Google Scholar 

  • Hartup, W. W. (1996). The company they keep: Friendships and their developmental significance. Child Development, 67, 1–13.

    Article  CAS  PubMed  Google Scholar 

  • Hecht, M. L., Alberts, J. K., & Miller-Rassulo, M. (1992). Resistance to drug offers among college students. The International Journal of the Addictions, 27, 995–1017.

    Article  CAS  PubMed  Google Scholar 

  • Hecht, M. L., Corman, S. R., & Miller-Rassulo, M. (1993). An evaluation of the drug resistance project: A comparison of film versus live performance media. Health Communication, 5, 75–88.

    Article  Google Scholar 

  • Hecht, M. L., Graham, J. W., & Elek, E. (2006). The substance resistance strategies intervention: Program effects on substance use. Health Communication, 20, 267–276.

    Article  PubMed  Google Scholar 

  • Hecht, M. L., Marsiglia, F. F., Elek, E., Wagstaff, D. A., Kulis, S., Dustman, P., & Miller-Day, M. (2003). Culturally-grounded substance use prevention: An evaluation of the keepin’ it R.E.A.L. curriculum. Prevention Science, 4, 233–248.

    Article  PubMed  Google Scholar 

  • Hunter, J. E., Schmidt, F. L., & Jackson, G. B. (1982). Meta-analysis: Cumulating research findings across studies. Beverly Hills: Sage.

    Google Scholar 

  • Kim, D. A., Hwong, A. R., Stafford, D., Hughes, D. A., O’Malley, A. J., Fowler, J. H., & Christakis, N. A. (2015). Social network targeting to maximise population behaviour change: A cluster randomised controlled trial. The Lancet, 386, 145–153.

    Article  Google Scholar 

  • Komro, K. A., Perry, C. L., Williams, C. L., Stigler, M. H., Farbakhsh, K., & Veblen-Mortenson, S. (2001). How did Project Northland reduce alcohol use among young adolescents? Analysis of mediating variables. Health Education Research, 16, 59–70.

    Article  CAS  PubMed  Google Scholar 

  • Kulis, S., Nieri, T., Yabiku, S., Stromwall, L. K., & Marsiglia, F. F. (2007). Promoting reduced and discontinued substance use among adolescent substance users: Effectiveness of a universal prevention program. Prevention Science, 37, 123–144.

    Google Scholar 

  • Lansford, J. E., Costanzo, P. R., Grimes, C., Putallaz, M., Shari Miller, S., & Malone, P. S. (2009). Social network centrality and leadership status: Links with problem behaviors and tests of gender differences. Merrill-Palmer Quarterly, 55, 1–25.

    Article  PubMed  PubMed Central  Google Scholar 

  • Larkey, L. K., & Hecht, M. (2010). A model of effects of narrative as culture-centric health promotion. Journal of Health Communication, 15, 114–135.

    Article  PubMed  Google Scholar 

  • Leombruni, L. V. (2015). How you talk about climate change matters: A communication network perspective on epistemic skepticism and belief strength. Global Environmental Change, 35, 148–161.

    Article  Google Scholar 

  • Marsden, P. (1990). Network data and measurement. Annual Review Socience, 16, 435–463.

    Article  Google Scholar 

  • McGuire, W. (1961). Resistance to persuasion conferred by active and passive prior Refutation of the same and alternative counterarguments. Journal of Abnormal and Social Psychology, 63, 326–332.

    Article  Google Scholar 

  • McNeal, R. B., Hansen, W. B., Harrington, N. G., & Giles, S. M. (2004). How All Stars works: An examination of program effects on mediating variables. Health Education & Behavior, 31, 165–178.

    Article  Google Scholar 

  • Miller-Day, M., & Hecht, M. L. (2013). Narrative means to preventative ends: A narrative engagement approach to adolescent substance use prevention. Health Communication, 28, 657–670.

    Article  PubMed  PubMed Central  Google Scholar 

  • Miller, C. T., & Prentice, D. A. (1996). The construction of social norms and standards. In E. T. Higgins & A. W. Kruglanski (Eds.), Social psychology: Handbook of basic principles (pp. 799–829). New York: Guilford Press.

    Google Scholar 

  • Newcomb, A. F., Bukowski, W. M., & Pattie, L. (1993). Children’s peer relations: A meta-analysis review of popular, rejected, neglected, controversial, and average sociometric status. Psychological Bulletin, 113, 99–128.

    Article  CAS  PubMed  Google Scholar 

  • Pearce, C. L., & Sims, H. P., Jr. (2002). Vertical versus shared leadership as predictors of the effectiveness of change management teams: An examination of aversive, directive, transactional, transformational, and empowering leader behaviours. Group Dynamics: Theory, Research, and Practice, 6, 172–197.

    Article  Google Scholar 

  • Pettigrew, J., Miller-Day, M., Krieger, J., & Hecht, M. L. (2011). Alcohol and other drug resistance strategies employed by rural adolescents. Journal of Applied Communication Research, 39, 103–122.

    Article  PubMed  PubMed Central  Google Scholar 

  • Pollach, I. (2006). Electronic word of mouth: A genre analysis of product reviews on consumer opinion web sites. In System Sciences, 2006. HICSS’06. Proceedings of the 39th Annual Hawaii International Conference on (Vol. 3, pp. 51c-51c). Los Alamitos, IEEE Computer Society Press.

  • Ranaweera, C., & Prabhu, J. (2003). The influence of satisfaction, trust and switching barriers on customer retention in a continuous purchasing setting. International Journal of Service Industry Management, 14, 374–395.

    Article  Google Scholar 

  • Rogers, E. M. (2003). Diffusion of innovations, 5th edition. New York: Free Press.

  • Rogers, E. M., & Kincaid, D. L. (1981). Communication networks: Toward a new paradigm for research. New York: Free Press.

    Google Scholar 

  • Sommerfeld, R. D., Krambeck, H. J., Semmann, D., & Milinski, M. (2007). Gossip as an alternative for direct observation in games of indirect reciprocity. Proceedings of the National Academy of Sciences, 104, 17435–17440.

    Article  CAS  Google Scholar 

  • Southwell, B. G., & Yzer, M. C. (2009). When (and why) interpersonal talk matters for campaigns. Communication Theory, 19, 1–8.

    Article  Google Scholar 

  • Swan, J. E., & Oliver, R. L. (1989). Postpurchase communications by consumers. Journal of Retailing, 65, 516–534.

    Google Scholar 

  • Sweeney, J., Soutar, G., & Mazzarol, T. (2014). Factors enhancing word-of-mouth influence: Positive and negative service-related messages. European Journal of Marketing, 48, 336–359.

    Article  Google Scholar 

  • Tobler, N. S., & Stratton, H. H. (1997). Effectiveness of schoolbased substance prevention programs: A meta-analysis of the research. Journal of Primary Prevention, 18, 71–128.

    Article  Google Scholar 

  • Valente, T. W., Ritt-Olson, A., Stacy, A., Unger, J. B., Okamoto, J., & Sussman, S. (2007). Peer acceleration: Effects of a social network tailored substance abuse prevention program among high-risk adolescent. Addition, 102, 1804–1815.

    Article  Google Scholar 

  • Valente, T. W., Unger, J. B., & Johnson, C. A. (2005). Do popular students smoke? The association between popularity and smoking among middle school students. Journal of Adolescent Health, 37, 323–329.

    Article  PubMed  Google Scholar 

  • Walsh, G., Gwinner, K. P., & Swanson, S. R. (2004). What makes mavens tick? Exploring the motives of market mavens’ initiation of information diffusion. Journal of Consumer Marketing, 21, 109–122.

    Article  Google Scholar 

  • Warren, C. W., Jones, N. R., Eriksen, M. P., & Asma, S. (2006). Patterns of global tobacco use in young people and implications for future chronic disease burden in adults. Lancet, 367, 749–753.

    Article  CAS  PubMed  Google Scholar 

  • Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Wasserman, S., & Pattison, P. (1996). Logit models and logistic regressions for social networks: I. An introduction to Markov graphs and p. Psychometrika, 61, 401–425.

    Article  Google Scholar 

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Correspondence to Hye Jeong Choi.

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The authors declare that they have no conflict of interest.

Informed Consent

Informed consent was obtained from all participants’ legal guardians, and student assent was also obtained in this study.

Funding

This study was supported by Grant Number R01DA021670 from the National Institute on Drug Abuse to The Pennsylvania State University (Michael Hecht, Principal Investigator). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health.

Research Involving Human Participants

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. This study received approval from University Institutional Review Board at The Pennsylvania State University.

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Choi, H.J., Hecht, M. & Smith, R.A. Investigating the Potential Impact of Social Talk on Prevention Through Social Networks: the Relationships Between Social Talk and Refusal Self-Efficacy and Norms. Prev Sci 18, 459–468 (2017). https://doi.org/10.1007/s11121-017-0764-6

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