Abstract
Across four studies, we show that experts’ efforts to strengthen the persuasiveness of health and civic duty-related appeals actually weakened them. When designing “Top 10” reasons lists to get people to quit smoking, encourage young people to vote, and persuade individuals to engage in fitness, governmental (studies 1–2) and non-profit (study 3) agencies chose to include mildly strong reasons alongside strong ones in their effort to be as persuasive as possible. However, from the target audience’s perspective, those mildly favorable reasons actually decreased the persuasiveness of the message compared to a condition in which fewer but only highly persuasive reasons were used. Building upon the Presenter’s Paradox by Weaver, Garcia & Schwarz (Journal of Consumer Research 39 (3):445–460, 2012), these results demonstrate that averaging in impression formation occurs not only in targets commonly thought of as unified entities such as consumer products and people but also occurs in persuasion contexts where the individual arguments comprising a message are independent of each other.
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Notes
After reading the experimental materials and responding to the key dependent variables, participants rated the seriousness of each of the 10 reasons to quit smoking on seven-point Likert scales (1 = not at all serious, 7 = very serious) one at a time in a random order. As predicted, participants rated the two arguments from our “strong” arguments two reasons condition to be more serious (M Strong_Reasons = 6.61, SD = 1.12) than the eight arguments we had deemed to be less strong (M Weak_Reasons = 5.79, SD = 1.37), t (139) = 9.48, p < .001.
An outside group of observers judged the 10 reasons used in the original top 10 campaign one at a time in a random order on the basis of how important each was in determining whether a person should vote. A paired sample t test confirmed that participants rated the three strong reasons we used in three reasons condition to be more important (M Strong_Reasons = 5.43, SD = 1.91) than the seven reasons we had deemed to be less strong (M Weak_Reasons = 3.20, SD = .98), t (17) = 11.18, p < .001.
An outside group of observers was presented with the 10 reasons from the original top 10 reasons campaign one at a time in a random order and indicated the importance of each reason in determining whether a person should exercise (1 = not at all important, 7 = very important). Results from a paired sample t test again confirmed that the arguments from our three reasons condition were judged to be more important (M Strong_Reasons = 6.15, SD = 0.96) than the arguments that we had categorized to be weaker (M Weak_Reasons = 5.70, SD = 0.82), t (19) = 2.47, p < .03.
An outside group of observers was presented with the 10 reasons one at a time in a random order and indicated the importance of each reason in determining whether a person should attend the University of Michigan (1 = not at all important, 7 = very important). Results from a repeated measures ANOVA confirmed that the argument from our top 1 reason condition was judged to be more important (M Strong_Reasons = 5.94, SD = 1.26) than the arguments that we had categorized to be weaker (M Weak_Reasons = 3.65, SD = 1.21), F (1, 30) = 57.14, p < .001.
References
Anderson, N. H. (1965). Averaging versus adding as a stimulus-combination rule in impression formation. Journal of Experimental Psychology, 70(4), 394–400.
Anderson, N. H. (1968). Application of a linear serial model to a personality-impression task using serial presentation. Journal of Personality and Social Psychology, 10(4), 354–362.
Asch, S. (1952). Social psychology. Englewood Cliffs: Prentice Hall.
Cacioppo, J. T., Petty, R. E., & Kao, C. E. (1984). The efficient assessment of need for cognition. Journal of Personality Assessment, 48, 306–307.
Camia, C. (2012). Study: about 49% of young voters cast ballots. Retrieved from http://www.usatoday.com/story/theoval/2012/11/07/obama-romney-youth-vote- election/1690075/. Accessed 10 June 2013.
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. Journal of Communication, 57, 613–631.
Douglas County Election Center (2012). Top 10 reasons why young people should vote. http://cltr.co.douglas.nv.us/elections/Top10Reasons.htm. Accessed 10 June 2013.
Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Forth Worth: Harcourt Brace Jovanovich.
Fishbein, M., Jamieson, K. H., Zimmer, E., von Haeften, I., & Nabi, R. (2002). Avoiding the boomerang: testing the relative effectiveness of antidrug public service announcements before a national campaign. American Journal of Public Health, 92, 238–245.
Friedrich, J., Fetherstonhaugh, D., Casey, S., & Gallagher, D. (1996). Argument integration and attitude change: suppression effects in the integration of one-sided arguments that vary in persuasiveness. Personality and Social Psychology Bulletin, 22, 179–191.
Gaeth, G. J., Levin, I. P., Chakraborty, G., & Levin, A. M. (1990). Consumer evaluation of multi-product bundles: an information integration analysis. Marketing Letters, 2, 47–58.
Medical News Today (2013). Ten medical reasons to exercise: what does exercise really do for us? http://www.medicalnewstoday.com/releases/132408.php. Accessed 10 June 2013.
Meyvis, T., & Janiszewski, C. (2002). Consumers’ beliefs about product benefits: the effect of obviously irrelevant information. Journal of Consumer Research, 28, 618–636.
National Health, Lung, and Blood Institute (2013a). Top 10 reasons to quit smoking. http://www.nhlbi.nih.gov/hbp/prevent/q_smoke/top_ten.htm. Accessed 10 June 2013.
National Health, Lung, and Blood Institute (2013b). Congressional Budget Justifications. http://www.nhlbi.nih.gov/about/directorscorner/legislativeinformation/congressional-budget-justifications/vol-3-tab-2-nhlbi.pdf. Accessed 10 June 2013.
Nisbett, R. E., Zukier, H., & Lemley, R. E. (1981). The dilution effect: nondiagnostic information weakens the implications of diagnostic information. Cognitive Psychology, 13(2), 248–277.
Petty, R. E., & Cacioppo, J. T. (1984). The effects of involvement on responses to argument quantity and quality: central and peripheral routes to persuasion. Journal of Personality and Social Psychology, 46, 69–81.
Strasser, A. A., Cappella, J. N., Jepson, C., Fishbein, M., Tang, K. Z., Han, E., et al. (2009). Experimental evaluation of anti-tobacco PSAs: effects of message content and format on physiological and behavioral outcomes. Nicotine and Tobacco Research, 11, 293–302.
Tetlock, P. E., Lerner, J. S., & Boettger, R. (1996). The dilution effect: judgmental bias, conversational convention, or a bit of both? European Journal of Social Psychology, 26, 915–934.
Thornton, W., Kirchner, G., & Jacobs, J. (1991). Influence of a photograph on a charitable appeal: a picture may be worth a thousand words when it has to speak for itself. Journal of Applied Social Psychology, 21, 433–445.
Troutman, C. M., & Shanteau, J. (1977). Inferences based on nondiagnostic information. Organizational Behavior and Human Decision Performance, 19, 43–55.
Weaver, K., Garcia, S. M., & Schwarz, N. (2012). The presenter’s paradox. Journal of Consumer Research, 39(3), 445–460.
Yadav, M. S. (1994). How buyers evaluate product bundles: a model of anchoring and adjustment. Journal of Consumer Research, 21, 342–353.
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Weaver, K., Hock, S.J. & Garcia, S.M. “Top 10” reasons: When adding persuasive arguments reduces persuasion. Mark Lett 27, 27–38 (2016). https://doi.org/10.1007/s11002-014-9286-1
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DOI: https://doi.org/10.1007/s11002-014-9286-1