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dc.contributor.authorBeauchamp, Kimberly A., M.S.
dc.description.abstractEverett Rogers' (2003) diffusion model provided a theoretical framework through which to measure change among publics. However, use of Rogers' diffusion model can lead to research shortcomings such as lack of consequence research, change agent tendencies, proinnovation bias, and inadequate research methods. Through new model development, the current study introduced a specific data analysis process that distinctly measured and merged a relationship between communication, outreach, and scientific effects. The application of a public health campaign served to test the new model's ability to overcome previous diffusion research shortcomings. Using an integrated approach of diffusion and gap analysis, the study investigated and quantified effects of risk communication. This new model has value in that it supports the collaborative efforts of multi-disciplinary projects, while promoting and strengthening the position of each discipline through joint research. The model serves to help researchers seek, find, and work within a respected and common ground platform.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU policy 190.6.2en_US
dc.titleExtending the Diffusion Model in Risk Communication: A Case Study of Risk in a Public Health Campaignen_US
dc.typeThesisen_US
dc.date.accessioned2024-04-19T19:08:55Z
dc.date.available2024-04-19T19:08:55Z
dc.date.issued2010
dc.identifier.urihttps://hdl.handle.net/10365/33783
dc.subject.lcshRisk communication.en_US
dc.subject.lcshCommunication in public health.en_US
dc.subject.lcshMass media in health education.en_US
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdfen_US
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeArts, Humanities, and Social Sciencesen_US
ndsu.programMass Communicationsen_US
ndsu.advisorLittlefield, Robert S.


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