SciELO - Scientific Electronic Library Online

Allen, M. & Preiss, R. W. (2007). Media, messages and meta–analysis. En R. W. Preiss, B. M. Gayle, N. Burrell, M. Allen & J. Bryant (Eds.), Mass media effects research. Advances through meta–analysis (pp. 15–30). Mahwah, NJ, EE.UU.: Lawrence Erlbaum Associates. [ Links ]

Anderson, C. A. (2004). An update on the effects of playing violent video games. Journal of Adolescence, 27, 113–122. [ Links ]

Baron, R. M. & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. [ Links ]

Boster, F. J. (2002). On making progress in communication science. Human Communication Research, 28(4), 473–490. [ Links ]

Bryant, J. & Miron, D. (2004). Theory and research in mass communication. Journal of Communication, 54(4), 662–704. [ Links ]

Bryant, J. & Thompson, S. (2002). Fundamentals of media effects. Nueva York, EE.UU.: McGraw–Hill. [ Links ]

Busselle, R. & Bilandzic, H. (2009). Measuring narrative engagement. Media Psychology, 12(4), 321–347. [ Links ]

Cappella, J. N. (1975). An introduction to the literature of causal modeling. Human Communication Research, 1(4), 362–377. [ Links ]

Cohen, J. (2002). Deconstructing Ally: Explaining viewers' interpretations of popular television. Media Psychology, 4(3), 253–277. [ Links ]

Dominick, J. & Wimmer, R. (2003). Training the next generation of media researchers. Mass Communication and Society, 6(1), 3–9. [ Links ]

Field, A. (2009). Discovering statistics using SPSS. Londres: Sage. [ Links ]

Glass, G. V (1976). Primary, secondary, and meta–analysis of research. Educational Researcher, 5,3–8. [ Links ]

Green, M. C. & Brock, T. C. (2000). The role of transportation in the persuasiveness of public narratives. Journal of Personality and Social Psychology, 79(5), 701–721. [ Links ]

Hale, J. L. & Dillard, J. P. (1991). The uses of meta–analysis: Making knowledge claims and setting research agendas. Communication Monographs, 58, 463–471. [ Links ]

Hayes, A. F. (2006). A primer on multilevel modeling. Human Communication Research, 32, 385–410. [ Links ]

Holbert, R. L. & Stephenson, M. T. (2008). Commentary on the uses and misuses of structural equation modeling in communication research. En A. F. Hayes, M. D. Slater & L. B. Snyder (Eds.), The SAGE soucerbook of advanced data analysis methods for communication research (pp. 185–218). Thousand Oaks, CA, EE.UU.: Sage. [ Links ]

Igartua, J. J. (2006). Métodos cuantitativos de investigación en comunicación. Barcelona: Bosch. [ Links ]

Igartua, J. J. (2010). Identification with characters and narrative persuasion through fictional feature films. Communications. The European Journal of Communication Research, 35(4), 347–373. [ Links ]

Igartua, J. J. & Cheng, L. (2009). Moderating effect of group cue while processing news on immigration. Is framing effect a heuristic process? Journal of Communication, 59(4), 726–749. [ Links ]

Igartua, J. J.; Cheng, L. & Muñiz, C. (2005). Framing Latin America in the Spanish press. A cooled down friendship between two fraternal lands. Communications. The European Journal of Communication Research, 30 (3), 359–372. [ Links ]

Johnson, B. T.; Scott–Sheldon, L. A. J.; Snyder, L. B.; Noar, S. M. & Huedo–Medina, T. B. (2008). Contemporary approaches to meta–analysis in communication research. En A. F. Hayes, M. D. Slater & L. B. Snyder (Eds.), The SAGE soucerbook of advanced data analysis methods for communication research (pp. 311–347). Thousand Oaks, CA, EE.UU.: Sage. [ Links ]

Levine, T. R. (2005). Confirmatory factor analysis and scale validation in communication research. Communication Research Reports, 22, 335–338. [ Links ]

Levine, T. R.; Hullett, C. R.; Turner, M. M. & Lapinski, M. K. (2006). The desirability of using confirmatory factor analysis on published scales. Communication Research Reports, 23(4), 309–314. [ Links ]

Lozano, J. C. (2007). Teoría e investigación de la comunicación de masas. México: Pearson Prentice Hall. [ Links ]

Matthes, J. & Kohring, M. (2008). The content analysis of media frames: Toward improving reliability and validity. Journal of Communication, 58, 258–279. [ Links ]

Miller, M. M. & Riechert, B. P. (2001). The spiral of opportunity and frame resonance. Mapping the issue cycle in news and public discourse. En S. D. Reese, O. H. Gandy & A. E. Grant (Eds.), Framing public life. Perspectives on media and our understanding of the social world (pp. 107–121). Mahwah, NJ, EE.UU: Lawrence Erlbaum Associates. [ Links ]

Morgan, M. & Shanahan, J. (1996). Two decades of cultivation research: An appraisal and meta–analysis. Communication Yearbook, 20, 1–45. [ Links ]

Neuendorf, K. A. (2002). The content analysis guidebook. Thousand Oaks, CA, EE.UU.: Sage. [ Links ]

Paik, H. & Comstock, G. (1994). The effects of television violence on antisocial behaviour: A meta–analysis. Communication Research, 21(4), 516–546. [ Links ]

Park, H. S.; Eveland, W. P. & Cudeck, R. (2008). Multilevel modeling: Studying people in contexts. En A. F. Hayes, M. D. Slater & L. B. Snyder (Eds.), The SAGE soucerbook of advanced data analysis methods for communication research (pp. 219–245). Thousand Oaks, CA, EE.UU.: Sage. [ Links ]

Perry, D. K. (2002). Theory and research in mass communication. Contexts and consequences. Mahwah, NJ, EE.UU.: Lawrence Erlbaum Associates. [ Links ]

Potter, W. J. & Riddle, K. (2007). A content analysis of the media effects literature. Journalism and Mass Communication Quarterly, 84(1), 90–104. [ Links ]

Preacher, K. J. & Hayes, A. F. (2008). Contemporary approaches to assessing mediation in communication research. En A. F. Hayes, M. D. Slater & L. B. Snyder (Eds.), The SAGE soucerbook of advanced data analysis methods for communication research (pp. 13–54). Thousand Oaks, CA, EE.UU.: Sage. [ Links ]

Preiss, R. W.; Gayle, B. M.; Burrell, N.; Allen, M. & Bryant, J. (2006). Mass media effects research. Advances through meta–analysis. Mahwah, NJ, EE.UU.: Lawrence Erlbaum Associates. [ Links ]

Semetko, H. & Valkenburg, P. (2000). Framing European politics: A content analysis of press and television news. Journal of Communication, 50(2), 93–109. [ Links ]

Slater, M. D.; Hayes, A. F. & Snyder, L. B. (2008). Overview. En A. F. Hayes, M. D. Slater & L. B. Snyder (Eds.) The SAGE soucerbook of advanced data analysis methods for communication research (pp. 1–12). Thousand Oaks, CA, EE.UU: Sage. [ Links ]

Slater, M. D.; Snyder, L. B. & Hayes, A. F. (2006). Thinking and modeling at multiple levels: the potential contribution of multilevel modeling to communication theory and research. Human Communication Research, 32, 375–384. [ Links ]

Sparks, G. G. (2010). Media effects research. A basic overview. Boston, MA, EE.UU.: Wadsworth. [ Links ]

The University of Kansas–KU (s.f.) Test de Sobel. Recuperado el 3 de febrero de 2010 de http://www.people.KU.edu/~preacher/sobel/sobel.htm [ Links ]

Wikipedia (s.f.) Doctrina de la neurona. Recuperado el 30 de noviembre de 2010 de http://es.wikipedia.org/wiki/Doctrina_de_la_neurona. [ Links ]

Witte, K. & Allen, M. (2000). A meta–analysis of fear appeals: Implications for effective public health campaigns. Health Education and Behavior, 27(5), 608–632. [ Links ]

Yanovitzky, I. & Greene, K. (2009). Quantitative methods and causal inference in media effects research. En R. L. Nabi & M. B. Oliver (Eds.), The SAGE handbook of media processes and effects (pp. 3552). Thousand Oaks, CA, EE.UU.: Sage. [ Links ]