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Part I: Advancing Communication Research: Message, Theory, Context, and Method

Message Variability and Heterogeneity: A Core Challenge for Communication Research

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References

  • Berlo, D. K. (1960). Process of communication: An introduction to theory and practice New York: Holt Rinehart and Winston.
  • Bradac, J. J. (1983). On generalizing cabbages, messages, kings, and several other things: The virtues of multiplicity. Human Communication Research, 9, 181–187. doi:10.1111/j.1468–2958.1983.tb00692.x
  • Bradac, J. J. (1986). Threats to generalization in the use of elicited, purloined, and contrived messages in human communication research. Communication Quarterly, 34, 55–65. doi:10.1080/01463378609369620
  • Brown, J. D., L’Engle, K. L., Pardun, C. J., Guo, G., Kenneavy, K., & Jackson, C. (2006). Sexy media matter: Exposure to sexual content in music, movies, television, and magazines predicts black and white adolescents’ sexual behavior. Pediatrics, 117, 1018–1027. doi:10.1542/peds.2005–1406
  • Bucy, E. P., & Tao, C. C. (2007). The mediated moderation model of interactivity. Media Psychology, 9, 647–672. doi:10.1080/15213260701283269
  • Fishbein, M., & Hornik, R. (2008). Measuring media exposure: An introduction to the special issue. Communication Methods and Measures, 2, 1–5. doi:10.1080/19312450802095943
  • Goodall, C. E., Slater, M. D., & Myers, T. A. (2013). Fear and anger responses to local news coverage of alcohol-related crimes, accidents, and injuries: Explaining news effects on policy support using a representative sample of messages and people. Journal of Communication, 63, 373–392. doi:10.1111/jcom.12020
  • Hayes, A. F. (2006). A primer on multilevel modeling. Human Communication Research, 32, 385–410. doi:10.1111/j.1468–2958.2006.00281x
  • Hoffman, L. H. (2012). When the world outside gets inside your head: The effects of media context on perceptions of public opinion. Communication Research, 40, 463–485. doi:10.1177/0093650211435938
  • Hunter, J. E., Hamilton, M. A., & Allen, M. (1989). The design and analysis of language experiments in communication. Communications Monographs, 56, 341–363. doi:10.1080/03637758909390269
  • Jackson, S. (1992). Message effects research: Principles of design and analysis. New York: Guilford Press.
  • Jackson, S., & Jacobs, S. (1983). Generalizing about messages: Suggestions for design and analysis of experiments. Human Communication Research, 9, 169–191. doi:10.1111/j.1468–2958.1983.tb00691.x
  • Jackson, S., O’Keefe, D. J., & Jacobs, S. (1988). The search for reliable generalizations about messages: A comparison of research strategies. Human Communication Research, 15, 127–142. doi:10.1111/j.1468–2958.1988.tb00174.x
  • Jensen, J. D., & Hurley, R. J. (2012). Conflicting stories about public scientific controversies: Effects of news convergence and divergence on scientist’s credibility. Public Understanding of Science, 21, 659–704. doi:10.1177/0963662510387759
  • Jensen, J. D., King, A. J., Carcioppolo, N., & Davis, L. A. (2012). Why are tailored messages more effective? A multiple mediation analysis of a breast cancer screening intervention. Journal of Communication, 62, 851–868. doi:10.1111/j.1460–2466.2012.01668.x
  • Krippendorff, K. (2013). Content analysis: An introduction to its methodology. Thousand Oaks, CA: Sage.
  • Maas, C. J. M., & Hox, J. J. (2005) Sufficient sample sizes in multilevel modeling. Methodology, 1, 86–92.
  • Martins, N., & Wilson, B. J. (2012). Mean on the screen: Social aggression in programs popular with children. Journal of Communication, 62, 991–1009. doi:10.1111/j.1460–2466.2001.01599.x
  • McLaren, R. M., Solomon, D. H., & Priem, J. S. (2012). The effect of relationship characteristics and relational communication on experiences of hurt from romantic partners. Journal of Communication, 62, 950–971. doi:10.1111/j.1460-2466.2012.01678.x
  • McLeod, J., & Reeves, B. (1980). On the nature of mass media effects. In S. B. Withey & R. P. Abeles (Eds.), Television and social behavior: Beyond violence and children (pp. 17–54). Mahwah, NJ: Erlbaum.
  • Nezlek, J. B. (2008). An introduction to multilevel modeling for social and personality psychology. Social and Personality Psychology Compass, 2, 842–860. doi:10.1111/j.1751–9004.2007.00059.x
  • O’Keefe, D. J. (1999). Variability of persuasive message effects: Meta-analytic evidence and implications. Document Design, 1, 87–97. doi:10.1075/dd.1.2.02oke
  • O’Keefe, D. J. (2003). Message properties, mediating states, and manipulation checks: Claims, evidence, and data analysis in experimental persuasive message effects research. Communication Theory, 13, 251–274. doi: 10.1111/j.1468-2885.2003.tb00292.x
  • Paisley, W. J. (1984). Communication in the communication sciences. In B. Dervin & M. J. Voigt (Eds.), Progress in communication sciences, Vol. 5. Norwood, NJ: Ablex.
  • Park, H. S., Eveland, W. P., & Cudeck, R. (2008). Multi-level modeling: Studying people in contexts. In A. F. Hayes, M. D. Slater, & L. B. Snyder (Eds.), The Sage Sourcebook of Advanced Data Analysis Methods for Communication Research (pp. 219–246). Thousand Oaks, CA: Sage.
  • Petty, R. E., & Cacioppo, J. T. (1986). Communication and persuasion: Central and peripheral routes to attitude change. New York: Springer-Verlag.
  • Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (Vol. 1). Thousand Oaks, CA: Sage Publications, Inc.
  • Riffe, D., Lacy, S., & Fico, F. (1998). Analyzing media messages: Quantitative content analysis. Mahwah, NJ: Lawrence Erlbaum.
  • Sargent, J. D., Worth, K. A., Beach, M., Gerrard, M., & Heatherton, T. F. (2008). Population-based assessment of exposure to risk behaviors in motion pictures. Communication Methods and Measures, 2, 134–151. doi:10.1080/19312450802063404
  • Shapiro, M. A. (1994). Signal detection measures of recognition memory. In A. Lang (Ed.) Measuring psychological responses to the media. Mahwah, NJ:
  • Erlbaum. Slater, M. D. (1991). Use of message stimuli in mass communication experiments: A methodological assessment and discussion. Journalism & Mass Communication Quarterly, 68 (3), 412–421. doi:10.1177/107769909106800312
  • Slater, M. D. (2004). Operationalizing and analyzing exposure: The foundation of media effects research. Journalism & Mass Communication Quarterly, 81(1), 168–183. doi:10.1177/1077699004081001121
  • Slater, M. D. (2013). Content analysis as a foundation for programmatic research in communication. Communication Methods and Measures, 7, 85–93. doi:10.1080/19312458.2013.789836
  • Slater, M. D., & Kelly, K. J. (2002). Testing alternative explanations for exposure effects in media campaigns: The case of a community-based, in-school media drug prevention project. Communication Research, 29, 367–389. doi: 10.1177/0093650202029004001
  • Slater, M. D., Hayes, A. F., Goodall, C. E., & Ewoldsen, D. R. (2012). Increasing support for alcohol-control enforcement through news coverage of alcohol’s role in injuries and crime. Journal of Studies on Alcohol and Drugs, 73(2), 311–315.
  • Slater, M.D., Rouner, D., Domenech-Rodriguez, M.M., Beauvais, F., Murphy, K., and Van Leuven, J. (1997) Adolescent responses to TV beer ads and sports content/context: Gender and ethnic differences. Journalism and Mass Communication Quarterly, 74, 108–122. doi:10.1177/107769909707400109
  • Slovic, P., & Fishhoff, B. L. S. (1982). Facts versus fears: Understanding perceived risk. In Judgement under uncertainty: Heuristics and biases. New York, Plenum Press: 463–489.
  • Snijders, T. A. B. (2005). Power and sample size in multilevel linear models. In B. S. Everitt and D. C. Howell (Eds.), Encyclopedia of Statistics in Behavioral Science (Vol. 3, pp. 1570–1573). Chichester: Wiley.
  • Snyder, L. B., Milici, F. F., Slater, M., Sun, H., & Strizhakova, Y. (2006). Effects of alcohol advertising exposure on drinking among youth. Archives of Pediatrics & Adolescent Medicine, 160, 18–24. doi:10.1001/archpedi.160.1.18
  • Southwell, B. G., & Langteau, R. (2008). Age, memory changes, and the varying utility of recognition as a media effects pathway. Communication Methods and Measures, 2, 100–114. doi:10.1080/19312450802062380
  • Southwell, B. G., Barmada, C. H., Hornik, R. C., & Maklan, D. M. (2002). Can we measure encoded exposure? Validation evidence from a national campaign. Journal of Health Communication, 7, 445–453. doi:10.1080/10810730290001800
  • Weaver, A. J., Zelenkauskaite, A., & Samson, L. (2012). The (non)violent world of YouTube: content trends in web video. Journal of Communication, 62, 1065–1083. doi:10.1111/j.1460–2466.2012.01675.x
  • Wells, G. L., & Windschitl, P. D. (1999). Stimulus sampling and social psychological experimentation. Personality and Social Psychology Bulletin, 25, 1115–1125. doi:10.1177/01461672992512005

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