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Research Article

A Meta-Analysis Comparing the Effectiveness of Narrative vs. Statistical Evidence: Health vs. Non-Health Contexts

References

  • *Ahn, S.-J., Hahm, J.-M., & Johnsen, K. (2019). Feeling the weight of calories: Using haptic feedback as virtual exemplars to promote risk perception among young females on unhealthy snack choices. Media Psychology, 22(4), 626–652. https://doi.org/10.1080/15213269.2018.1492939
  • Ajzen, I., & Fishbein, M. (2008). Scaling and testing multiplicative combinations in the expectancy-value model of attitudes. Journal of Applied Social Psychology, 38(9), 2222–2247. https://doi.org/10.1111/j.1559-1816.2008.00389.x
  • *Allen, M., Bruflat, R., Fucilla, R., Kramer, M., McKellips, S., Ryan, D. J., & Spiegelhoff, M. (2000). Testing the persuasiveness of evidence: Combining narrative and statistical forms. Communication Research Reports, 17(4), 331–336. https://doi.org/10.1080/08824090009388781
  • Allen, M., & Preiss, R. W. (1997). Comparing the persuasiveness of narrative and statistical evidence using meta-analysis. Communication Research Reports, 14(2), 125–131. https://doi.org/10.1080/08824099709388654
  • *Anderson, C. A. (1983). Abstract and concrete data in the perseverance of social theories: When weak data lead to unshakable beliefs. Journal of Experimental Social Psychology, 19(2), 93–108. https://doi.org/10.1016/0022-1031(83)90031-8
  • *Baesler, E. J. (1997). Persuasive effects of story and statistical evidence. Argumentation and Advocacy, 33(4), 170–175. https://doi.org/10.1080/00028533.1997.11978016
  • *Baesler, E. J., & Burgoon, J. K. (1994). The temporal effects of story and statistical evidence on belief change. Communication Research, 21(5), 582–602. https://doi.org/10.1177/009365094021005002
  • Ballard, A. M., Davis, A., & Hoffner, C. A. (2021). The impact of health narratives on persuasion in African American women: A systematic review and meta-analysis. Health Communication, 36(5), 560–571. https://doi.org/10.1080/10410236.2020.1731936
  • *Bekalu, M. A., Bigman, C. A., McCloud, R. F., Lin, L. K., & Viswanath, K. (2018). The relative persuasiveness of narrative versus non-narrative health messages in public health emergency communication: Evidence from a field experiment. Preventive Medicine, 111, 284–290. https://doi.org/10.1016/j.ypmed.2017.11.014
  • *Betsch, C., Ulshoefer, C., Renkewitz, F., & Betsch, T. (2011). The influence of narrative v. statistical information on perceiving vaccination risks. Medical Decision Making, 31(5), 742–753. https://doi.org/10.1177/0272989x11400419
  • Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2009). Introduction to meta-analysis. John Wiley.
  • Braddock, K., & Dillard, J. P. (2016). Meta-analytic evidence for the persuasive effect of narratives on beliefs, attitudes, intentions, and behaviors. Communication Monographs, 83(4), 446–467. https://doi.org/10.1080/03637751.2015.1128555
  • Braverman, J. (2008). Testimonials versus informational persuasive messages: The moderating effect of delivery mode and personal involvement. Communication Research, 35(5), 666–694. https://doi.org/10.1177/0093540208321785
  • Bruner, J. (1986). Actual minds, possible worlds. Harvard University Press.
  • Burgoon, J. K., & Jones, S. B. (1976). Toward a theory of personal space expectations and their violations. Human Communication Research, 2(2), 131–146. https://doi.org/10.1111/j.1468-2958.1976.tb00706.x
  • Busselle, R., & Bilandzic, H. (2008). Fictionality and perceived realism in experiencing stories: A model of narrative comprehension and engagement. Communication Theory, 18(2), 255–280. https://doi.org/10.1111/j.1468-2885.2008.00322.x
  • Church, R. T., & Wilbanks, C. (1986). Values and policies in controversy: An introduction to argumentation and debate. Gorsuch Scarisbrick.
  • Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155
  • Cohen, J. (2001). Defining identification: A theoretical look at the identification of audiences with media characters. Mass Communication and Society, 4(3), 245–264. https://doi.org/10.1207/S15327825MCS0403_01
  • *Cox, D., & Cox, A. D. (2001). Communicating the consequences of early detection: The role of evidence and framing. Journal of Marketing, 65(3), 91–103. https://doi.org/10.1509/jmkg.65.3.91.18336
  • Dahlstrom, M. F., Niederdeppe, J., Gao, L., & Zhu, X. (2017). Operational and conceptual trends in narrative persuasion research: Comparing health- and non-health-related contexts. International Journal of Communication, 11, 4865–4885.
  • Das, E., Kerkhof, P., & Kuiper, J. (2008). Improving the effectiveness of fundraising messages: The impact of charity goal attainment, message framing, and evidence on persuasion. Journal of Applied Communication Research, 36(2), 161–175. https://doi.org/10.1080/00909880801922854
  • de Graaf, A., Sanders, J., & Hoeken, H. (2016). Characteristics of narrative interventions and health effects: A review of the content, form, and context of narratives in health-related narrative persuasion research. Review of Communication Research, 4, 88–131. https://doi.org/10.12840/issn.2255-4165.2016.04.01.011
  • *De Wit, J. B. F., Das, E., & Vet, R. (2008). What works best: Objective statistics or a personal testimonial? An assessment of the persuasive effects of different types of message evidence on risk perception. Health Psychology, 27(1), 110–115. https://doi.org/10.1037/0278-6133.27.1.110
  • *Dickson, P. (1982). The impact of enriching case and statistical information on consumer judgments. The Journal of Consumer Research, 8(4), 398–406. https://doi.org/10.1086/208880
  • Dillard, J. P. (1998). Evaluating and using meta-analytic knowledge claims. In M. Allen & R. W. Preiss (Eds.), Persuasion: Advances through meta-analysis (pp. 257–270). Hampton Press.
  • *Dillard, A. J., & Hisler, G. (2015). Enhancing the effects of a narrative message through experiential information processing: An experimental study. Psychology & Health, 30(7), 803–820. https://doi.org/10.1080/08870446.2014.996565
  • Dillard, J. P., Weber, K. M., & Vail, R. G. (2007). The relationship between the perceived and actual effectiveness of persuasive messages: A meta-analysis with implications for formative campaign research. The Journal of Communication, 57(4), 613–631. https://doi.org/10.1111/j.1460-2466.2007.00360.x
  • Dunlop, S. M., Wakefield, M., & Kashima, Y. (2010). Pathways to persuasion: Cognitive and experiential responses to health-promoting mass media messages. Communication Research, 37(1), 133–164. https://doi.org/10.1177/0093650209351912
  • Eisend, M. (2017). Meta-analysis in advertising research. Journal of Advertising, 46(1), 21–35. https://doi.org/10.1080/00913367.2016.1210064
  • Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. The Journal of Communication, 43(4), 51–58. https://doi.org/10.1111/j.1460-2466.1993.tb01304.x
  • Epstein, S. (2003). Cognitive-experiential self-theory of personality. In T. Millon & L. M. J (Eds.), Handbook of psychology: Personality and social psychology (pp. 159–184). John Wiley & Son Inc.
  • Fabrigar, L. R., & Petty, R. E. (1999). The role of the affective and cognitive bases of attitudes in susceptibility to affectively and cognitively based persuasion. Personality & Social Psychology Bulletin, 25(3), 363–381. https://doi.org/10.1177/0146167299025003008
  • *Feeley, T., Marshall, H. M., & Reinhart, A. (2006). Reactions to narrative and statistical written messages promoting organ donation. Communication Reports, 19(2), 89–100. https://doi.org/10.1080/08934210600918758
  • Field, A. P., & Gillett, R. (2010). How to do a meta-analysis. The British Journal of Mathematical and Statistical Psychology, 63(3), 665–694. https://doi.org/10.1348/000711010X502733
  • *Good, C. (2010). Persuasive effect of narrative and statistical evidence combinations [ Master thesis]. Kansas State University.
  • *Gray, J. B., & Harrington, N. G. (2011). Narrative and framing: A test of an integrated message strategy in the exercise context. Journal of Health Communication, 16(3), 264–281. https://doi.org/10.1080/10810730.2010.529490
  • 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. https://doi.org/10.1037/0022-3514.79.5.701
  • *Greene, K., & Brinn, L. S. (2003). Messages influencing college women’s tanning bed use: Statistical versus narrative evidence format and a self-assessment to increase perceived susceptibility. Journal of Health Communication, 8(5), 443–461. https://doi.org/10.1080/713852118
  • *Greene, K., Campo, S., & Banerjee, S. C. (2010). Comparing normative, anecdotal, and statistical risk evidence to discourage tanning bed use. Communication Quarterly, 58(2), 111–132. https://doi.org/10.1080/01463371003773366
  • *Guo, Y., Ashworth, P., Sun, Y., Yang, B., Yang, J., & Chen, J. (2019). The influence of narrative versus statistical evidence on public perception towards CCS in China: Survey results from local residents in Shandong and Henan provinces. International Journal of Greenhouse Gas Control, 84(2), 54–61. https://doi.org/10.1016/j.ijggc.2019.02.021
  • *Han, B., & Fink, E. (2012). How do statistical and narrative evidence affect persuasion? The role of evidentiary features. Argumentation and Advocacy, 49(1), 39–58. https://doi.org/10.1080/00028533.2012.11821779
  • *Hastall, M. R., & Knobloch-Westerwick, S. (2013). Severity, efficacy, and evidence type as determinants of health message exposure. Health Communication, 28(4), 378–388. https://doi.org/10.1080/10410236.2012.690175
  • Hedges, L. V., & Vevea, J. L. (1998). Fixed- and random-effects models in meta-analysis. Psychological Methods, 3(4), 486–504. https://doi.org/10.1037/1082-989X.3.4.486
  • *Henderson, L. (2021). What is this noise? A comparison of narrative and statistical program notes’ ability to affect enjoyment [ Master thesis]. University of Missouri-St. Louis.
  • *Hoeken, H. (2001). Anecdotal, statistical, and causal evidence: Their perceived and actual persuasiveness. Argumentation, 15(4), 425–437. https://doi.org/10.1023/A:1012075630523
  • *Hoeken, H., & Hustinx, L. (2009). When is statistical evidence superior to anecdotal evidence in supporting probability claims? The role of argument type. Human Communication Research, 35(4), 491–510. https://doi.org/10.1111/j.1468-2958.2009.01360.x
  • *Hong, S., & Park, H. S. (2012). Computer-mediated persuasion in online reviews: Statistical versus narrative evidence. Computers in Human Behavior, 28(3), 906–919. https://doi.org/10.1016/j.chb.2011.12.011
  • Hopfer, S. (2011). Effects of a narrative HPV vaccination intervention aimed at reaching college women: A randomized controlled trial. Prevention Science, 13(2), 173–182. https://doi.org/10.1007/s11121-011-0254-1
  • Huang, Y., & Shen, F. (2016). Effects of cultural tailoring on persuasion in cancer communication: A meta-analysis. The Journal of Communication, 66(4), 694–715. https://doi.org/10.1111/jcom.12243
  • Hunter, J. E., & Schmidt, F. L. (2004). Methods of meta-analysis: Correcting error and bias in research findings (2nd ed.). Sage.
  • *Kang, H., & Lee, M. J. (2018). Designing anti-binge drinking prevention messages: Message framing vs. evidence type. Health Communication, 33(12), 1494–1502. https://doi.org/10.1080/10410236.2017.1372046
  • *Kazoleas, D. C. (1993). A comparison of the persuasive effectiveness of qualitative versus quantitative evidence: A test of explanatory hypotheses. Communication Quarterly, 41(1), 40–50. https://doi.org/10.1080/01463379309369866
  • *Kim, S., Allen, M., Gattoni, A., Grimes, D., Herrman, A. M., Huang, H., Zhang, Y. … Zhang, Y. (2012). Testing an additive model for the effectiveness of evidence on the persuasiveness of a message. Social Influence, 7(2), 65–77. https://doi.org/10.1080/15534510.2012.658285
  • Kim, H. S., Bigman, C. A., Leader, A. E., Lerman, C., & Cappella, J. N. (2012). Narrative health communication and behavior change: The influence of exemplars in the news on intention to quit smoking. The Journal of Communication, 62(3), 473–492. https://doi.org/10.1111/j.1460-2466.2012.01644.x
  • *Koballa, T. (1986). Persuading teachers to reexamine the innovative elementary science programs of yesterday: The effect of anecdotal versus data-summary communications. Journal of Research in Science Teaching, 23(5), 437–449. https://doi.org/10.1002/tea.3660230506
  • *Kopfman, J. E., Smith, S. W., Ah Yun, J. K., & Hodges, A. (1998). Affective and cognitive reactions to narrative versus statistical evidence organ donation messages. Journal of Applied Communication Research, 26(3), 279–300. https://doi.org/10.1080/00909889809365508
  • Kreuter, M. W., Green, M. C., Cappella, J. N., Slater, M. D., Wise, M. E., Storey, D., Woolley, S. … Woolley, S. (2007). Narrative communication in cancer prevention and control: A framework to guide research and application. Annals of Behavioral Medicine, 33(3), 221–235. https://doi.org/10.1007/BF02879904
  • *Krupat, E., Smith, R. H., Leach, C. W., & Jackson, M. A. (1997). Generalizing from atypical cases: How general a tendency? Basic and Applied Social Psychology, 19(3), 345–361. https://doi.org/10.1207/s15324834basp1903_5
  • Lakoff, G. (2010). Why it matters how we frame the environment. Environmental Communication, 4(1), 70–81. https://doi.org/10.1080/17524030903529749
  • *Larkey, L. K., & Gonzalez, J. (2007). Storytelling for promoting colorectal cancer prevention and early detection among Latinos. Patient Education and Counseling, 67(3), 272–278. https://doi.org/10.1016/j.pec.2007.04.003
  • Lemal, M., & Van den Bulck, J. (2010). Testing the effectiveness of a skin cancer narrative in promoting positive health behavior: A pilot study. Preventive Medicine, 51(2), 178–181. https://doi.org/10.1016/j.ypmed.2010.04.019
  • Levine, T. R., Asada, K. J., & Carpenter, C. (2009). Sample sizes and effect sizes are negatively correlated in meta-analyses: Evidence and implications of a publication bias against nonsignificant findings. Communication Monographs, 76(3), 286–302. https://doi.org/10.1080/03637750903074685
  • *Limon, M. S., & Kazoleas, D. C. (2004). A comparison of exemplar and statistical evidence in reducing counter-arguments and responses to a message. Communication Research Reports, 21(3), 291–298. https://doi.org/10.1080/08824090409359991
  • *Lindsey, L., & Yun, K. A. (2003). Examining the persuasive effect of statistical messages: A test of mediating relationships. Communication Studies, 54(3), 306–321. https://doi.org/10.1080/10510970309363288
  • *Lin, H. C., & Lee, S. H. (2021). Effects of statistical and narrative health claims on consumer food product evaluation. Frontiers in Psychology, 11, 541716. https://doi.org/10.3389/fpsyg.2020.541716
  • *Ma, Z., & Nan, X. (2019). Positive facts, negative stories: Message framing as a moderator of narrative persuasion in antismoking communication. Health Communication, 34(12), 1454–1460. https://doi.org/10.1080/10410236.2018.1499702
  • *Mazor, K. M., Baril, J., Dugan, E., Spencer, F., Burgwinkle, P., & Gurwitz, J. H. (2007). Patient education about anticoagulant medication: Is narrative evidence or statistical evidence more effective? Patient Education and Counseling, 69(1–3), 145–157. https://doi.org/10.1016/j.pec.2007.08.010
  • *McKinley, C. J., Limbu, Y., & Jayachandran, C. N. (2017). The influence of statistical versus exemplar appeals on Indian adults’ health intentions: An investigation of direct effects and intervening persuasion processes. Health Communication, 32(4), 427–437. https://doi.org/10.1080/10410236.2016.1138811
  • Moyer-Gusé, E. (2008). Toward a theory of entertainment persuasion: Explaining the persuasive effects of entertainment-education messages. Communication Theory, 18(3), 407–425. https://doi.org/10.1111/j.1468-2885.2008.00328.x
  • Nabi, R. (2015). Emotional flow in persuasive health messages. Health Communication, 30(2), 114–124. https://doi.org/10.1080/10410236.2014.974129
  • *Nan, X., Dahlstrom, M. F., Richards, A., & Rangarajan, S. (2015). Influence of evidence type and narrative type on HPV risk perception and intention to obtain the HPV vaccine. Health Communication, 30(3), 301–308. https://doi.org/10.1080/10410236.2014.888629
  • Niederdeppe, J., Roh, S., & Dreisbach, C. (2016). How narrative focus and a statistical map shape health policy support among state legislators. Health Communication, 31(2), 242–255. https://doi.org/10.1080/10410236.2014.998913
  • O’Keefe, D. J. (2002). Persuasion, theory & research (2nd ed.). Sage.
  • O’Keefe, D. J. (2013). The relative persuasiveness of different forms of arguments-from-consequences: A review and integration. Annals of the International Communication Association, 36(1), 109–135. https://doi.org/10.1080/23808985.2013.11679128
  • *O’Mally, A. K., & Worrell, T. R. (2014). Statistics or stories, Black or white? Examining influences of African American organ donation. Howard Journal of Communications, 25(1), 98–114. https://doi.org/10.1080/10646175.2014.864209
  • *Pot, M., Van Keulen, H., Paulussen, T., Otten, W., Van Steenbergen, J., & Ruiter, R. (2019). Mothers’ perceptions of their daughters’ susceptibility to HPV-related risk factors: An experimental pretest comparing narrative and statistical risk information. Health Psychology Bulletin, 3(1), 38–47. https://doi.org/10.5334/hpb.7
  • Ratcliff, C. L., & Sun, Y. (2020). Overcoming resistance through narratives: Findings from a meta-analytic review. Human Communication Research, 46(4), 412–443. https://doi.org/10.1093/hcr/hqz017
  • *References marked with an asterisk indicate studies included in the meta-analysis.
  • Reinard, J. C. (1988). The empirical study of the persuasive effects of evidence: The status after fifty years of research. Human Communication Research, 15(1), 3–59 https://doi.org/10.1111/j.1468-2958.1988.tb00170.x.
  • *Rook, K. S. (1987). Effects of case history versus abstract information on health attitudes and behaviors. Journal of Applied Social Psychology, 17(6), 533–553. https://doi.org/10.1111/j.1559-1816.1987.tb00329.x
  • Rothman, A. J., & Salovey, P. (1997). Shaping perceptions to motivate healthy behavior: The role of message framing. Psychological Bulletin, 121(1), 3–19. https://doi.org/10.1037/0033-2909.121.1.3
  • Salthouse, T. A. (2009). When does age-related cognitive decline begin? Neurobiology of Aging, 30(4), 507–514. https://doi.org/10.1016/j.neurobiolaging.2008.09.023
  • Shen, F., & Han, A. (2014). Effectiveness of entertainment-education in communicating health information: A systematic review. Asian Journal of Communication, 24(6), 605–616. https://doi.org/10.1080/01292986.2014.927895
  • Shen, F., Sheer, V. C., & Li, R. (2015). Impact of narratives on persuasion in health communication: A meta-analysis. Journal of Advertising, 44(2), 105–113. https://doi.org/10.1080/00913367.2015.1018467
  • *Sherer, M., & Rogers, R. (1984). The role of vivid information in fear appeals and attitude change. Journal of Research in Personality, 18(3), 321–334. https://doi.org/10.1016/0092-6566(84)90016-3
  • *Slater, M. D., & Rouner, D. (1996). Value-affirmative and value-protective processing of alcohol education messages that include statistical evidence or anecdotes. Communication Research, 23(2), 210–235. https://doi.org/10.1177/009365096023002003
  • *So, J., Jeong, S. H., & Hwang, Y. (2017). Which type of risk information to use for whom? Moderating role of outcome-relevant involvement in the effects of statistical and exemplified risk information on risk perceptions. Journal of Health Communication, 22(4), 304–311. https://doi.org/10.1080/10810730.2016.1252819
  • Taylor, S. E., & Thompson, S. C. (1982). Stalking the elusive ”vividness” effect. Psychological Review, 89(2), 155–181. https://doi.org/10.1037/0033-295X.89.2.155
  • Tukachinsky, R., & Tokunaga, R. S. (2013). The effects of engagement with entertainment. Communication Yearbook, 37, 287–321. https://doi.org/10.1080/23808985.2013.11679153
  • Valentine, J. C., Pigott, T. D., & Rothstein, H. R. (2010). How many studies do you need? A primer on statistical power for meta-analysis. Journal of Educational and Behavioral Statistics, 35(2), 215–247. https://doi.org/10.3102/1076998609346961
  • *Van Laer, T., & De Ruyter, K. (2010). In stories we trust: How narrative apologies provide cover for competitive vulnerability after integrity violating blog posts. International Journal of Research in Marketing, 27(2), 164–174. https://doi.org/10.1016/j.ijresmar.2009.12.010
  • Van Laer, R., De Ruyter, K., Visconti, L. M., & Wetzels, M. (2014). The extended transportation imagery model: A meta-analysis of the antecedents and consequences of consumers’ narrative transportation. The Journal of Consumer Research, 40(5), 797–817. https://doi.org/10.1086/673383
  • Vevea, J. L., Coburn, K., & Sutton, A. (2019). Publication bias. In H. Cooper, L. V. Hedges & J. C. Valentine (Eds.), The handbook of research synthesis and meta-analysis (3rd ed., pp. 383–430). Russell Sage Foundation.
  • Winterbottom, A., Bekker, H. L., Conner, M., & Mooney, A. (2008). Does narrative information bias individual's decision making? A systematic review. Social Science & Medicine, 67(12), 2079–2088.
  • *Wojcieszak, M., Azrout, R., Boomgaarden, H., Alencar, A., & Sheets, P. (2017). Integrating Muslim immigrant minorities: The effects of narrative and statistical messages. Communication Research, 44(4), 582–607. https://doi.org/10.1177/0093650215600490
  • *Wojcieszak, M., & Kim, N. (2016). How to improve attitudes toward disliked groups: The effects of narrative versus numerical evidence on political persuasion. Communication Research, 43(6), 785–809. https://doi.org/10.1177/0093650215618480
  • *Wolf, H. V., Perko, T., & Thijssen, P. (2020). How to communicate food safety after radiological contamination: The effectiveness of numerical and narrative news messages. International Journal of Environmental Research and Public Health, 17(12), 4189. https://doi.org/10.3390/ijerph17124189
  • Xu, Z., & Guo, H. (2018). A meta-analysis of the effectiveness of guilt on health-related attitudes and intentions. Health Communication, 33(5), 519–525. https://doi.org/10.1080/10410236.2017.1278633
  • *Yu, N., Ahern, L. A., Connolly-Ahern, C., & Shen, F. (2010). Communicating the risks of fetal alcohol spectrum disorder: Effects of message framing and exemplification. Health Communication, 25(8), 692–699. https://doi.org/10.1080/10410236.2010.521910
  • Zebregs, S., van den Putte, B., Neijens, P., & de Graaf, A. (2015). The differential impact of statistical and narrative evidence on beliefs, attitude, and intention: A meta-analysis. Health Communication, 30(3), 282–289. https://doi.org/10.1080/10410236.2013.842528
  • *Zhang, J. M., Chen, G. M., Chock, T. M., Wang, Y., Ni, L., & Schweisberger, V. (2016). A psychophysiological study of processing HIV/AIDS public service announcements: The effects of novelty appeals, sexual appeals, narrative versus statistical evidence, and viewer’s sex. Health Communication, 31(7), 853–862. https://doi.org/10.1080/10410236.2015.1012629
  • Zillmann, D. (2002). Exemplification theory of media influence. In J. Bryant & D. Zillmann (Eds.), Media effects: Advances in theory and research (pp. 19–41). Lawrence Erlbaum Associates Publishers.

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