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Research Article

A Longitudinal Examination of the Moderating Influence of Peer and Parental Socialization on Alcohol-Related Social Media Self-Effects Among Late Adolescents

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References

  • ACMA. (2013). Like, post, share: Young Australians’ experience of social media. Retrieved from https://www.acma.gov.au/theACMA/young-australians-and-social-media
  • Albarracín, D. (2002). Cognition in persuasion: An analysis of information processing in response to persuasive communications. In M. P. Zanna (Ed.), Advances in experimental social psychology (Vol. 34, pp. 61–130). San Francisco, CA: Academic Press.
  • Albarracín, D., & Kumkale, G. T. (2003). Affect as information in persuasion: A model of affect identification and Discounting. Journal of Personality and Social Psychology, 54, 453–469. doi:10.1037/0022-3514.84.3.453
  • Arnett, J. J. (2005). The developmental context of substance use in emerging adulthood. Journal of Drug Issues, 35(2), 235–254. doi:10.1177/002204260503500202
  • Arnett, J. J. (2013). Adolescence and emerging adulthood: A cultural approach (5th ed.). New York, NY: Pearson.
  • Aronson, E. (1999, November). The power of self-persuasion. American Psychologist, 875–884. doi:10.1037/h0088188
  • Bem, D. J. (1972). Self-perception theory. In L. Berkowitz (Ed), Advances in experimental social psychology (6th ed., pp. 1–62). New York, NY: Academic Press.
  • Beullens, K., & Schepers, A. (2013). Display of alcohol use on Facebook: A content analysis. Cyberpsychology, Behavior and Social Networking, 16, 497–503. doi:10.1089/cyber.2013.0044
  • Beullens, K., & Vandenbosch, L. (2016). A conditional process analysis on the relationship between the use of social networking sites, attitudes, peer norms and adolescents’ intentions to consume alcohol. Media Psychology, 19, 310–333. doi:10.1080/15213269.2015.1049275
  • Beyens, I., Eggermont, S., & Nathanson, A. I. (2016). Understanding the relationship between mothers’ attitudes toward television and children’s television exposure: A longitudinal study of reciprocal patterns and the moderating role of maternal stress. Media Psychology, 19, 638–665. doi:10.1080/15213269.2016.1142383
  • Bloomfield, K., Stockwell, T., Gmel, G., & Rehn, N. (2003). International comparisons of alcohol consumption. Retrieved May 3, 2017, from https://pubs.niaaa.nih.gov/publications/arh27-1/95-109.htm
  • Boyd, S. J., Corbin, W. R., & Fromme, K. (2014). Parental and peer influences on alcohol use during the transition out of college. Psychology of Addictive Behaviors, 28, 960–968. doi:10.1037/a0037782
  • Bryant, C. A., McDermott, R. J., Zapata, L. B., Forthofer, M. S., Brown, K. M., Cheney, R., … Hogeboom, D. L. (2006). Using mixed methods to examine parental influence on youth alcohol use. American Journal of Health Education, 37, 322–336. doi:10.1080/19325037.2006.10598923
  • Cruz, J. E., Emery, R. E., & Turkheimer, E. (2012). Peer network drinking predicts increased alcohol use from adolescence to early adulthood after controlling for genetic and shared environmental selection. Developmental Psychology, 48, 1390–1402. doi:10.1037/a0027515
  • D’Angelo, J., Kerr, B., & Moreno, M. A. (2014). Facebook displays as predictors of binge drinking: From the virtual to the visceral. Bulletin of Science, Technology & Society, 34, 159–169. doi:10.1177/0270467615584044
  • De Visser, R. O., & McDonnell, E. J. (2012). “That”s OK. He’s a guy’: A mixed-methods study of gender double-standards for alcohol use. Psychology & Health, 27, 618–639. doi:10.1080/08870446.2011.617444
  • Edwards, J. R. (2002). Alternatives to difference scores: Polynomial regression analysis and response surface methodology. In F. Drasgow & N. Schmitt (Eds.), Measuring and analyzing behavior in organizations: Advances in measurement and data analysis (pp. 351–400). San Francisco, CA: Society for Industrial and Organizational Psychology. doi:10.1037/e576892011-020
  • Ellison, N. B., & Boyd, D. M. (2013, May). Sociality through social network sites. In W. H. Dutton (Ed.), The Oxford Handbook of Internet Studies (pp. 151–172). Oxford, UK: Oxford University Press. doi:10.1093/oxfordhb/9780199589074.001.0001
  • Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. New York, NY: Psychology Press.
  • Frees, E. W. (2004). Longitudinal and panel data: Analysis and applications in the social sciences. New York, NY: Cambridge University Press.
  • Geusens, F., & Beullens, K. (2016a). Spelen sociale netwerksites een rol in de alcoholconsumptie van jongeren? Een literatuuroverzicht. Tijdschrift Voor Communicatiewetenschap, 44, 194–209.
  • Geusens, F., & Beullens, K. (2016b). The association between social networking sites and alcohol abuse among Belgian adolescents: The role of attitudes and social norms. Journal of Media Psychology, Advance Online Copy, 1–10. doi:10.1027/1864-1105/a000196
  • Geusens, F., & Beullens, K. (2017a). Strategic self-presentation or authentic communication? Predicting adolescents’ alcohol references on social media. Journal of Studies on Alcohol and Drugs, 78, 124–133. doi:10.15288/jsad.2017.78.124
  • Geusens, F., & Beullens, K. (2017b). The reciprocal associations between sharing alcohol references on social networking sites and binge drinking: A longitudinal study among late adolescents. Computers in Human Behavior, 73, 499–506. doi:10.1016/j.chb.2017.03.062
  • Gilligan, C., & Kypri, K. (2012). Parent attitudes, family dynamics and adolescent drinking: Qualitative study of the Australian parenting guidelines for adolescent alcohol use. BMC Public Health, 12, 491–502. doi:10.1186/1471-2458-12-491
  • Gustavson, K., Von Soest, T., Karevold, E., & Roysamb, E. (2012). Attrition and generalizability in longitudinal studies: Findings from a 15-year population-based study and a Monte Carlo simulation study. BMC Public Health, 12. doi:10.1186/1471-2458-12-918
  • Hittner, J. B., & Swickert, R. (2006). Sensation seeking and alcohol use: A meta-analytic review. Addictive Behaviors, 31, 1383–1401. doi:10.1016/j.addbeh.2005.11.004
  • Hoyle, R. H., Stephenson, M. T., Palmgreen, P., Lorch, E. P., & Donohew, R. L. (2002). Reliability and validity of a brief measure of sensation seeking. Personality and Individual Differences, 32, 401–414. doi:10.1016/S0191-8869(01)00032-0
  • Huang, G. C., Unger, J. B., Soto, D., Fujimoto, K., Pentz, M. A., Jordan-Marsh, M., & Valente, T. W. (2014). Peer influences: The impact of online and offline friendship networks on adolescent smoking and alcohol use. Journal of Adolescent Health, 54, 508–514. doi:10.1016/j.jadohealth.2013.07.001
  • Hummer, J. F., LaBrie, J. W., & Ehret, P. J. (2013). Do as I say, not as you perceive: Examining the roles of perceived parental knowledge and perceived parental approval in college students’ alcohol-related approval and behavior. Parenting: Science and Practice, 13, 196–212. doi:10.1080/15295192.2013.756356
  • Jayne, M., & Valentine, G. (2015). “It makes you go crazy”: Children’s knowledge and experience of alcohol consumption. Journal of Consumer Culture, 17, 85–104. doi:10.1177/1469540515574450
  • Kruglanski, A. W., & Thompson, E. P. (1999). Persuasion by a single route: A view from the unimodel. Psychological Inquiry, 10, 83–109. doi:10.1207/S15327965PL100201
  • LaBrie, J. W., Cail, J., Abar, C., Turrisi, R., Aiken, L., West, S., … Brand, N. (2011). Parental interaction with college students: The moderating effect of parental contact on the influence of perceived peer norms on drinking during the transition to college. Journal of College Student Development, 52, 610–621. doi:10.1353/csd.2011.0059
  • Litt, D. M., & Stock, M. L. (2011). Adolescent alcohol-related risk cognitions: The roles of social norms and social networking sites. Psychology of Addictive Behaviors, 25, 708–713. doi:10.1037/a0024226
  • Markman, K. D., & McMullen, M. N. (2003). A reflection and evaluation model of comparative thinking. Personality & Social Psychology Review, 7, 244–267. doi:10.1207/S15327957PSPR0703_04
  • Marshall, T. C., Lefringhausen, K., & Ferenczi, N. (2015). The Big Five, self-esteem, and narcissism as predictors of the topics people write about in Facebook status updates. Personality and Individual Differences, 85, 35–40. doi:10.1016/j.paid.2015.04.039
  • Moreno, M. A., Kacvinsky, L., Pumper, M., Wachowski, L., & Whitehill, J. M. (2013). Associations between social media displays and event-specific alcohol consumption by college students. Wisconsin Medical Journal, 112, 251–256.
  • Moreno, M. A., Kota, R., Schoohs, S., & Whitehill, J. M. (2013). The Facebook influence model: A concept mapping approach. Cyberpsychology, Behavior and Social Networking, 16, 504–511. doi:10.1089/cyber.2013.0025
  • NIAAA. (2004). Recommended alcohol questions. Retrieved from http://www.niaaa.nih.gov/research/guidelines-and-resources/recommended-alcohol-questions
  • Niland, P., Lyons, A. C., Goodwin, I., & Hutton, F. (2013). “Everyone can loosen up and get a bit of a buzz on”: Young adults, alcohol and friendship practices. The International Journal on Drug Policy, 24, 530–537. doi:10.1016/j.drugpo.2013.05.013
  • Niland, P., Lyons, A. C., Goodwin, I., & Hutton, F. (2014). “See it doesn”t look pretty does it?’ Young adults’ airbrushed drinking practices on Facebook. Psychology & Health, 29, 877–895. doi:10.1080/08870446.2014.893345
  • Oetting, E. R., & Donnermeyer, J. F. (1998). Primary socialization theory, the etiology of drug use and deviance. I. Substance Use & Misuse, 33, 995–1026. doi:10.3109/10826089809056252
  • Olson, M. A., & Kendrick, R. V. (2012). Attitude formation. In V. S. Ramachandran Ed, Encyclopedia of human behavior (2nd ed., pp. 230–235). London, UK: Elsevier Inc. doi:10.1016/B978-0-12-375000-6.00041-0
  • Paek, H. J. (2009). Differential effects of different peers: Further evidence of the peer proximity thesis in perceived peer influence on college students’ smoking. Journal of Communication, 59, 434–455. doi:10.1111/j.1460-2466.2009.01423.x
  • Perkins, H. W., & Berkowitz, A. D. (1986). Perceiving the community norms of alcohol use among students: Some research implicatins for campus alcohol education programming. Substance Use & Misuse, 21, 961–976. doi:10.3109/10826088609077249
  • Post, A., Gilljam, H., Bremberg, S., & Galanti, M. R. (2012). Psychosocial determinants of attrition in a longitudinal study of tobacco use in youth. The Scientific World Journal, 2012, 1–7. doi:10.1100/2012/654030
  • Ridout, B., Campbell, A., & Ellis, L. (2012). “Off your Face(book)”: Alcohol in online social identity construction and its relation to problem drinking in university students. Drug and Alcohol Review, 31, 20–26. doi:10.1111/j.1465-3362.2010.00277.x
  • Rosiers, J., De Paepe, N., Geirnaert, M., & Van Damme, J. (2017). VAD-leerlingenbevraging in het kader van een drugbeleid op school: Syntheserapport schooljaar 2015-2016. Brussel, BE: Vereniging voor Alcohol- en andere Drugproblemen.
  • Rosiers, J., Van Damme, J., Hublet, A., Van Hal, G., Sisk, M., Si Mhand, Y., & Maes, L. (2014). hogere sferen? Een onderzoek naar het middelgebruik bij Vlaamse studenten (Vol. 3). Brussels, BE: Vereniging voor Alcohol- en andere Drugproblemen.
  • Shanock, L. R., Baran, B. E., Gentry, W. A., Pattison, S. C., & Heggestad, E. D. (2010). Polynomial regression with response surface analysis: A powerful approach for examining moderation and overcoming limitations of difference scores. Journal of Business and Psychology, 25, 543–554. doi:10.1007/s10869-010-9183-4
  • Simons-Morton, B., & Chen, R. S. (2006). Over time relationships between early adolescent and peer substance use. Addictive Behaviors, 31, 1211–1223. doi:10.1016/j.addbeh.2005.09.006
  • Slater, M. D. (2007). Reinforcing spirals: The mutual influence of media selectivity and media effects and their impact on individual behavior and social identity. Communication Theory, 17, 281–303. doi:10.1111/j.1468-2885.2007.00296.x
  • Stallen, M., Smidts, A., & Sanfey, A. G. (2013). Peer influence: Neural mechanisms underlying in-group conformity. Frontiers in Human Neuroscience, 7(50), 1–7. doi:10.3389/fnhum.2013.00050
  • Trekels, J., & Eggermont, S. (2017). “I can/should look like a media figure”: The association between direct and indirect media exposure and teens’ sexualizing appearance behaviors. Journal of Sex Research. doi:10.1080/00224499.2017.1387754
  • Valkenburg, P. M. (2017). Understanding self-effects in social media. Human Communication Research, 43, 477–490. doi:10.1111/hcre.12113
  • Valkenburg, P. M., & Peter, J. (2013). The differential susceptibility to media effects model. Journal of Communication, 63, 221–243. doi:10.1111/jcom.12024
  • Wall, M. I., Carlson, S. A., Stein, A. D., Lee, S. M., & Fulton, J. E. (2011). Trends by age in youth physical activity: Youth media campaign longitudinal survey. Medicine and Science in Sports and Exercise, 43, 2140–2147. doi:10.1249/MSS.0b013e31821f561a
  • WHO. (2015). World health statistics 2015. Geneva, CH: WHO Press.

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