The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
The Relative Persuasiveness of Gain-Framed Loss-Framed Messages for Encouraging Disease Prevention Behaviors: A Meta-Analytic Review
Abstract
A meta-analytic review of 93 studies (N = 21,656) finds that in disease prevention messages, gain-framed appeals, which emphasize the advantages of compliance with the communicator's recommendation, are statistically significantly more persuasive than loss-framed appeals, which emphasize the disadvantages of noncompliance. This difference is quite small (corresponding to r = .03), however, and appears attributable to a relatively large (and statistically significant) effect for messages advocating dental hygiene behaviors. Despite very good statistical power, the analysis finds no statistically significant differences in persuasiveness between gain- and loss-framed messages concerning other preventive actions such as safer-sex behaviors, skin cancer prevention behaviors, or diet and nutrition behaviors.
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Citations
Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
The Framing of Decisions and the Psychology of Choice
Tversky, A., & Kahneman, D. (1981) · Science · doi:10.1126/science.7455683 · Cited by 18,497
Actual Causes of Death in the United States, 2000
Mokdad, A. H. (2004) · JAMA · doi:10.1001/jama.291.10.1238 · Cited by 5,211
Meta-Analytic Procedures for Social Research
Rosenthal, R. (1991) · doi:10.4135/9781412984997 · Cited by 4,635
Cohen, J. (1994) · American Psychologist · doi:10.1037/0003-066x.49.12.997 · Cited by 4,003
A Meta-Analysis of Fear Appeals: Implications for Effective Public Health Campaigns
Witte, K., & Allen, M. (2000) · Health Education & Behavior · doi:10.1177/109019810002700506 · Cited by 3,216
Fixed-and random-effects models in meta-analysis.
Hedges, L. V., & Vevea, J. L. (1998) · Psychological Methods · doi:10.1037/1082-989x.3.4.486 · Cited by 2,977
The power of statistical tests in meta-analysis
Hedges, L. V., & Pigott, T. D. (2001) · Psychological Methods · doi:10.1037/1082-989x.6.3.203 · Cited by 716 · cited 1×
“With 84 cases, a typical study sample size of 247 (the mean study sample size across these 84 cases), and large heterogeneity (using the conventional v value of Hedges & Pigott, 2001 ), the power for detecting a population effect size of r = .”
BackgroundRothman, A. J., Martino, S. C., Bedell, B. T., Detweiler, J. B., & Salovey, P. (1999) · Personality and Social Psychology Bulletin · doi:10.1177/0146167299259003 · Cited by 379
Dillard, J. P., Weber, K. M., & Vail, R. G. (2007) · Journal of Communication · doi:10.1111/j.1460-2466.2007.00360.x · Cited by 276
Cited by
Framing Climate Change: Exploring the Role of Emotion in Generating Advocacy Behavior
Nabi, R. L., Gustafson, A., & Jensen, R. (2018) · Science Communication · doi:10.1177/1075547018776019 · Cited by 461
Loss or gain? The role of message framing in hotel guests’ recycling behaviour
Grazzini, L., Rodrigo, P., Aiello, G., & Viglia, G. (2018) · Journal of Sustainable Tourism · doi:10.1080/09669582.2018.1526294 · Cited by 230
The effects of framing on environmental decisions: A systematic literature review
Ropret Homar, A., & Knežević Cvelbar, L. (2021) · Ecological Economics · doi:10.1016/j.ecolecon.2021.106950 · Cited by 190
Laws, M. B., Lee, Y., Taubin, T., Rogers, W. H., & Wilson, I. B. (2018) · PLOS ONE · doi:10.1371/journal.pone.0191940 · Cited by 118
O’Keefe, D. J. (2013) · Annals of the International Communication Association · doi:10.1080/23808985.2013.11679151 · Cited by 51
Self-citationArmbruster, S., Manchanda, R., & Vo, N. (2022) · Sustainability · doi:10.3390/su14127411 · Cited by 34
Goldstein, S. P., Zhang, F., Klasnja, P., Hoover, A., Wing, R. R., & Thomas, J. G. (2021) · JMIR Research Protocols · doi:10.2196/33568 · Cited by 26
Metadata
- Authors
- O'Keefe, D. J., & Jensen, J. D.
- Venue
- Journal of Health Communication
- Publisher
- Informa UK Limited
- Published
- 2007-10-11
- Volume
- 12
- Issue
- 7
- Pages
- 623-644
- ISSN
- 1081-0730 (ISSN-L)
- 1087-0415
- OpenAlex
- W2114823211
- Cited by
- 743
- References
- 10
- FWCI
- 357.05
- Type
- journal article
- Language
- en
- Open access
- closed
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