Visual Exemplification and Skin Cancer: The Utility of Exemplars in Promoting Skin Self-Exams and Atypical Nevi Identification

References

• Arnold, M. R., & DeJong, W. (2005). Skin self-examination practices in a convenience sample of US university students. Preventive Medicine, 40, 268–273. doi:10.1016/j.ypmed.2004.05.031
   PubMed Web of Science ®Google Scholar
• Banerjee, S. C., Greene, K., & Yanovitzky, I. (2011). Sensation seeking and dosage effect: An exploration of the role of surprise in anti-cocaine messages. Journal of Substance Use, 16, 1–13. doi:10.3109/14659890903490773
   Web of Science ®Google Scholar
• Boer, H., Ter Huurne, E., & Taal, E. (2006). Effects of pictures and textual arguments in sun protection public service announcements. Cancer Detection & Prevention, 30, 432–438. doi:10.1016/j.cdp.2006.06.001
   PubMedGoogle Scholar
• Cacioppo, J. T., Petty, R. E., & Morris, K. J. (1983). Effects of need for cognition on message evaluation, recall, and persuasion. Journal of Personality & Social Psychology, 45, 805–818. doi:10.1037/0022-3514.45.4.805
   Web of Science ®Google Scholar
• Cacioppo, J. T., Von Hippel, W., & Ernst, J. M. (1997). Mapping cognitive structures and processes through verbal content: The thought-listing technique. Journal of Consulting & Clinical Psychology, 65, 928–940. doi:10.1037/0022-006X.65.6.928
   PubMed Web of Science ®Google Scholar
• 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.
   Google Scholar
• Dillard, J. P., Shen, L., & Vail, R. G. (2007). Does perceived message effectiveness cause persuasion or vice versa? 17 consistent answers. Human Communication Research, 33, 467–488. doi:10.1111/j.1468-2958.2007.00308.x
   Web of Science ®Google Scholar
• Gibson, R. (2003). Effects of photographs on issue perception. In J. Bryant, D. R. Roskos-Ewoldsen, & J. Cantor (Eds.), Communication and emotion: Essays in honor of Dolf Zillmann (pp. 323–345). Mahwah, NJ: Erlbaum.
   Google Scholar
• Gibson, R., & Zillmann, D. (2000). Reading between the photographs: The influence of incidental pictorial information on issue perception. Journalism & Mass Communication Quarterly, 77, 355–366. doi:10.1177/107769900007700209
   Web of Science ®Google Scholar
• Glanz, K., Schoenfeld, E., Weinstock, M. A., Layi, G., Kidd, J., & Shigaki, D. M. (2003). Development and reliability of a brief skin cancer risk assessment tool. Cancer Detection & Prevention, 27, 311–315. doi:10.1016/S0361-090X(03)00094-1
   PubMedGoogle Scholar
• Grabe, M. E., & Bucy, E. P. (2009). Image bite politics: News and the visual framing of elections. New York, NY: Oxford University Press.
   Google Scholar
• Hawley, S. T., Zikmund-Fisher, B. J., Ubel, P. A., Jancovic, A., Lucas, T., & Fagerlin, A. (2008). The impact of the format of graphical presentation on health-related knowledge and treatment choices. Patient Education & Counseling, 73, 448–455. doi:10.1016/j.pec.2008.07.023
   PubMed Web of Science ®Google Scholar
• Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press.
   Google Scholar
• Hayes, A. F., & Matthes, J. (2009). Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations. Behavior Research Methods, 41, 924–936. doi:10.3758/BRM.41.3.924
   PubMed Web of Science ®Google Scholar
• Hayes, A. F., & Preacher, K. J. (2014). Statistical mediation analysis with a multicategorical independent variable. British Journal of Mathematical and Statistical Psychology, 67, 451–470. doi:10.1111/bmsp.2014.67.issue-3
   PubMed Web of Science ®Google Scholar
• Houts, P. S., Doak, C. C., Doak, L. G., & Loscalzo, M. J. (2006). The role of pictures in improving health communication: A review of research on attention, comprehension, recall, and adherence. Patient Education & Counseling, 61, 173–190. doi:10.1016/j.pec.2005.05.004
   PubMed Web of Science ®Google Scholar
• Jensen, J. D. (2011). Addressing health literacy in the design of health messages. In H. Cho (Ed.), Health communication message design: Theory and practice (pp. 171–190). Thousand Oaks, CA: Sage.
   Google Scholar
• Jensen, J. D., & Moriarty, C. M. (2008). Psychosocial factors associated with skin self-exam performance. Journal of American College Health, 56, 701–705. doi:10.3200/JACH.56.6.701-705
   PubMed Web of Science ®Google Scholar
• King, A. J. (2014). Visual messaging and risk communication. In H. Cho, T. Reimer, & K. A. McComas (Eds.), Sage handbook of risk communication (pp. 193–205). Thousand Oaks, CA: Sage.
   Google Scholar
• King, A. J. (2015). A content analysis of visual cancer information: Prevalence and use of photographs and illustrations in printed health materials. Health Communication, 30, 722–731. doi:10.1177/0017896914
   PubMed Web of Science ®Google Scholar
• King, A. J., Jensen, J. D., Davis, L. A., & Carcioppolo, N. (2014). Perceived visual informativeness (PVI): Construct and scale development to assess visual health information in printed materials. Journal of Health Communication, 19, 1099–1115. doi:10.1080/10810730.2013.878004
   PubMed Web of Science ®Google Scholar
• Lang, A., Potter, R. F., & Bolls, P. D. (1999). Something for nothing: Is visual encoding automatic? Media Psychology, 1, 145–163. doi:10.1207/s1532785xmep0102_4
   Google Scholar
• Lazard, A., & Atkinson, L. (2015). Putting environmental infographics center stage: The role of visuals at the elaboration likelihood model’s critical point of persuasion. Science Communication, 37, 6–33. doi:10.1177/1075547014555997
   Web of Science ®Google Scholar
• Lazard, A., & Mackert, M. (2014). User evaluation of design complexity: The impact of visual perceptions for effective online health communication. International Journal of Medical Informatics, 83, 726–735. doi:10.1016/j.ijmedinf.2014.06.010
   PubMed Web of Science ®Google Scholar
• Lester, P. M. (2011). Visual communication: Images with messages (5th ed.). Belmont, CA: Thomson.
   Google Scholar
• Lintott, C. J., Schawinski, K., Slosar, A., Land, K., Bamford, S., Thomas, D., & Vandenberg, J. (2008). Galaxy Zoo: Morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey. Monthly Notices of the Royal Astronomical Society, 389, 1179–1189. doi:10.1111/j.1365-2966.2008.13689.x
   Web of Science ®Google Scholar
• Lynn, S. K., & Barrett, S. K. (2014). “Utilizing” signal detection theory. Psychological Science, 25, 1663–1673. doi:10.1177/0956797614541991
   PubMed Web of Science ®Google Scholar
• MacMillan, N. A., & Creelman, C. D. (1991). Detection theory: A user’s guide. Cambridge, UK: Cambridge University Press.
   Google Scholar
• McWhirter, J. E., & Hoffman-Goetz, L. (2013). Visual images for patient skin self-examination and melanoma detection: A systematic review of published studies. Journal of the American Academy of Dermatology, 69, 47–55. doi:10.1016/j.jaad.2013.01.031
   PubMed Web of Science ®Google Scholar
• Messaris, P. (1997). Visual persuasion: The role of images in advertising. Thousand Oaks, CA: Sage.
   Google Scholar
• Morgan, S. E., Palmgreen, P., Stephenson, M. T., Hoyle, R. H., & Lorch, E. P. (2003). Association between message features and subjective evaluations of the sensation value of antidrug public service announcements. Journal of Communication, 53, 512–526. doi:10.1111/j.1460-2466.2003.tb02605.x
   Web of Science ®Google Scholar
• Murphy, J., Hofacker, C., & Mizerski, R. (2006). Primacy and recency effects on clicking behavior. Journal of Computer-Mediated Communication, 11(2), 522–535. doi:10.1111/j.1083-6101.2006.00025.x
   Web of Science ®Google Scholar
• National Cancer Institute. (2002). Making health communication programs work ( NIH Publication No. 02-5145). Washington, DC: U.S. Government Printing Office.
   Google Scholar
• National Cancer Institute. (2007). Designing print materials: A communications guide for breast cancer screening ( NIH Publication No. 07-6100). Washington, DC: U.S. Government Printing Office.
   Google Scholar
• National Cancer Institute. (2014). NCI visuals online. Retrieved from http://visualsonline.cancer.gov
   Google Scholar
• Niederdeppe, J. D. (2005). Syntactic indeterminacy, perceived message sensation value-enhancing features, and message processing in the context of anti-tobacco advertisements. Communication Monographs, 72, 324–344. doi:10.1080/03637750500206862
   Web of Science ®Google Scholar
• Niederdeppe, J., Bu, Q. L., Borah, P., Kindig, D. A., & Robert, S. A. (2008). Message design strategies to raise public awareness of social determinants of health and population disparities. The Milbank Quarterly, 86, 486–513. doi:10.1111/j.1468-0009.2008.00530.x
   Web of Science ®Google Scholar
• Niederdeppe, J., Davis, K. C., Farrelly, M. C., & Yarsevich, J. (2007). Stylistic features, need for sensation, and confirmed recall of national smoking prevention advertisements. Journal of Communication, 57, 272–292. doi:10.1111/j.1460-2466.2007.00343.x
   Web of Science ®Google Scholar
• Norman, P., & Hoyle, S. (2004). The theory of planned behavior and breast self-examination: Distinguishing between perceived control and self-efficacy. Journal of Applied Social Psychology, 34, 694–708.
   Google Scholar
• Paivio, A. (1971). Imagery and verbal processes. New York, NY: Holt.
   Google Scholar
• Parrott, R., Silk, K., Dorgan, K., Condit, C., & Harris, T. (2005). Risk comprehension and judgments of statistical evidentiary appeals: When a picture is not worth a thousand words. Human Communication Research, 31, 423–452. doi:10.1111/j.1468-2958.2005.tb00878.x
   Web of Science ®Google Scholar
• Peracchio, L. A., & Meyers-Levy, J. (2005). Using stylistic properties of ad pictures to communicate with consumers. Journal of Consumer Research, 32, 29–40. doi:10.1086/429599
   Web of Science ®Google Scholar
• Rigel, D. S., Russak, J., & Friedman, R. (2010). The evolution of melanoma diagnosis: 25 years beyond the ABCDs. CA: A Cancer Journal for Clinicians, 60, 301–316. doi:10.3322/caac.20074
   PubMed Web of Science ®Google Scholar
• Scott, L. M., & Batra, R. (Eds.). (2003). Persuasive imagery: A consumer-response perspective. Mahwah, NJ: Erlbaum.
   Google Scholar
• Shapiro, M. A. (1994). Signal detection measures of recognition memory. In A. Lang (Ed.), Measuring psychological responses to media messages (pp. 133–148). Hillsdale, NJ: Erlbaum.
   Google Scholar
• Siegel, R., Miller, K. D., & Jemal, A. (2015). Cancer statistics, 2015. CA: A Cancer Journal for Clinicians, 65, 5–29. doi:10.3322/caac.21254
   PubMed Web of Science ®Google Scholar
• Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston, MA: Allyn & Bacon.
   Google Scholar
• Witte, K., Cameron, K. A., McKeon, J., & Berkowitz, J. (1996). Predicting risk behaviors: Development and validation of a diagnostic scale. Journal of Health Communication, 4, 317–341. doi:10.1080/108107396127988
   Google Scholar
• Zillmann, D. (1999). Exemplification theory: Judging the whole by some of its parts. Media Psychology, 1, 69–94. doi:10.1207/s1532785xmep0101_5
   Google Scholar
• Zillmann, D. (2006). Exemplification effects in the promotion of safety and health. Journal of Communication, 56, S221–S237. doi:10.1111/j.1460-2466.2006.00291.x
   Web of Science ®Google Scholar
• Zillmann, D., & Brosius, H.-B. (2000). Exemplification in communication: The influence of case reports on the perception of issues. Mahwah, NJ: Erlbaum.
   Google Scholar
• Zillmann, D., & Gan, S. (1996). Effects of threatening images in news programs on the perception of risk to others and self. Medienpsychologie: Zeitschrift Fur Individual- Und Massenkommunkikation, 8, 288–305.
   Google Scholar
• Zillmann, D., Knobloch, S., & Yi, H. (2001). Effects of photographs on the selective reading of news reports. Media Psychology, 3, 301–324. doi:10.1207/S1532785XMEP0304_01
   Web of Science ®Google Scholar