2,948
Views
35
CrossRef citations to date
0
Altmetric
ARTICLES

Source Credibility and the Biasing Effect of Narrative Information on the Perception of Vaccination Risks

, &

References

  • Betsch, C., Brewer, N. T., Brocard, P., Davies, P., Gaissmaier, W., Haase, N., … Stryk, M. (2012). Opportunities and challenges of web 2.0 for vaccination decisions. Vaccine, 30, 3727–3733.
  • Betsch, C., Renkewitz, F., & Haase, N. (2013). Effect of narrative reports about vaccine adverse events and bias-awareness disclaimers on vaccine decisions: A simulation of an online patient social network. Medical Decision Making, 33, 14–25.
  • Betsch, C., Ulshöfer, C., Renkewitz, F., & Betsch, T. (2011). The influence of narrative v. statistical information on perceiving vaccination risks. Medical Decision Making, 31, 742–753.
  • Borgida, E., & Nisbett, R. (1977). The differential impact of abstract vs. concrete information on decisions. Journal of Applied Social Psychology, 7, 258–271.
  • Brewer, N. T., Chapman, G. B., Gibbons, F. X., Gerrard, M., McCaul, K. D., & Weinstein, N. D. (2007). Meta-analysis of the relationship between risk perception and health behavior: The example of vaccination. Health Psychology, 26, 136–145.
  • Brosius, H.-B., & Bathelt, A. (1994). The utility of exemplars in persuasive communications. Communication Research, 21, 48–78.
  • Brown, D. W., Burton, A., Gacic-Dobo, M., Karimov, R. I., Vandelaer, J., & Okwo-Bele, J. M. (2011). A mid-term assessment of progress towards the immunization coverage goal of the Global Immunization Vision and Strategy (GIVS). BMC Public Health, 11(806), 1–7.
  • Burki, T. (2013). Challenges and targets for measles elimination. The Lancet Infectious Diseases, 13, 479–480.
  • Chen, R. T. (1999). Vaccine risks: Real, perceived and unknown. Vaccine, 17(Suppl. 3), S41–S46.
  • Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Erlbaum.
  • Cokely, E. T., Galesic, M., Schulz, E., Ghazal, S., & Garcia-Retamero, R. (2012). Measuring risk literacy: The Berlin numeracy test. Judgment and Decision Making, 7, 25–47. Retrieved from http://journal.sjdm.org/11/11808/jdm11808.html
  • 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, 110–115.
  • Dieckmann, N. F., Slovic, P., & Peters, E. M. (2009). The use of narrative evidence and explicit likelihood by decision makers varying in numeracy. Risk Analysis, 29, 1473–1488.
  • Fagerlin, A., Wang, C., & Ubel, P. (2005). Reducing the influence of anecdotal reasoning on people's health care decisions: Is a picture worth a thousand statistics? Medical Decision Making, 25, 398–405.
  • Glasman, L. R., & Albarracín, D. (2006). Forming attitudes that predict future behavior: A meta-analysis of the attitude-behavior relation. Psychological Bulletin, 132, 778–822.
  • Green, M. C., & Brock, T. C. (2000). The role of transportation in the persuasiveness of public narratives. Journal of Personality and Social Psychology, 79, 701–721.
  • Green, M. C., & Brock, T. C. (2002). In the mind's eye: Transportation-imagery model of narrative persuasion. In M. C. Green J. J. Strange, & T. C. Brock (Eds.), Narrative impact: Social and cognitive foundations (pp. 315–341). Mahwah, NJ: Erlbaum.
  • Haase, N., & Betsch, C. (2012). Parents trust other parents. Medical Decision Making, 32, 645.
  • Harris, A. J. L., Corner, A., & Hahn, U. (2009). Estimating the probability of negative events. Cognition, 110, 51–64.
  • Hertwig, R., & Ortmann, A. (2001). Experimental practices in economics: A methodological challenge for psychologists? Behavioral and Brain Sciences, 24, 383–403.
  • Hinyard, L. J., & Kreuter, M. W. (2007). Using narrative communication as a tool for health behavior change: A conceptual, theoretical, and empirical overview. Health Education & Behavior, 34, 777–792.
  • Hovland, C. I., & Weiss, W. (1951). The influence of source credibility on communication effectiveness. Public Opinion Quarterly, 15, 635–650.
  • Kata, A. (2010). A postmodern Pandora's box: Anti-vaccination misinformation on the Internet. Vaccine, 28, 1709–1716.
  • Kata, A. (2012). Anti-vaccine activists, web 2.0, and the postmodern paradigm—An overview of tactics and tropes used online by the anti-vaccination movement. Vaccine, 30, 3778–3789.
  • Nyhan, B., Reifler, J., Richey, S., & Freed, G. L. (2014). Effective messages in vaccine promotion: A randomized trial. Pediatrics, 133(4), e835–e842.
  • O'Reily, T. (2005). What is web 2.0 design patterns and business models for the next generation of software. Retrieved from http://http://oreilly.com/web2/archive/what-is-web-20.html
  • Obrecht, N. A., Chapman, G. B., & Gelman, R. (2009). An encounter frequency account of how experience affects likelihood estimation. Memory & Cognition, 37, 632–643.
  • Omer, S. B., Orenstein, W. A., & Koplan, J. P. (2013). Go big and go fast—Vaccine refusal and disease eradication. The New England Journal of Medicine, 368, 1374–1376.
  • Pavey, L., & Sparks, P. (2009). Reactance, autonomy and paths to persuasion: Examining perceptions of threats to freedom and informational value. Motivation and Emotion, 33, 277–290.
  • Pornpitakpan, C. (2004). The persuasiveness of source credibility: A critical review of five decades’ evidence. Journal of Applied Social Psychology, 34, 243–281.
  • Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36, 717–731.
  • Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40, 879–891.
  • Reyna, V. F. (2008). A theory of medical decision making and health: Fuzzy trace theory. Medical Decision Making, 28, 850–865.
  • Reyna, V. F., Nelson, W. L., Han, P. K., & Dieckmann, N. F. (2009). How numeracy influences risk comprehension and medical decision making. Psychological Bulletin, 135, 943–973.
  • Schwartz, L. M., Woloshin, S., Black, W. C., & Welch, H. G. (1997). The role of numeracy in understanding the benefit of screening mammography. Annals of Internal Medicine, 127, 966–972.
  • The Lancet. (2010). Retraction—Ileal-lymphoid-nodular hyperplasia, non-specific colitis, and pervasive developmental disorder in children. The Lancet, 375, 445.
  • Wakefield, A. J., Murch, S. H., Anthony, A., Linnell, J., Casson, D. M., Malik, M., … Walker-Smith, J. A. (1998). Ileal-lymphoid-nodular hyperplasia, non-specific colitis, and pervasive developmental disorder in children. The Lancet, 351, 637–641.
  • World Health Organization. (2013). Global Vaccine Action Plan 2011–2020. Retrieved from http://www.who.int/immunization/global_vaccine_action_plan/GVAP_doc_2011_2020/en
  • Yates, J. F., & Stone, E. R. (1992). The risk construct. In J. F. Yates (Ed.), Risk-taking behavior (pp. 1–25). Oxford, England: Wiley.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.