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Health Communication Research Measures


Do Kyun Kim and James W. Dearing

This volume presents state-of-the-art reporting on how to measure many of the key variables in health communication. While the focus is on quantitative measures, the editors argue that these measures are centrally important to the study of health communication. The chapters emphasize constructs, scales, and up-to-date reports and evidence about key social science constructs and ways of measuring them, whether your interest is in patient-provider dyadic communication, uncertainty management, self-efficacy, disclosure, social norms, social support, risk perception, health care team performance, message design and effects, health and numerical literacy, communication satisfaction, social influence and persuasion, stigma, health campaigns, reactance, or other topics. Students, researchers, and policymakers will find this book an accessible resource for planning and reviewing research studies and proposals.
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5. Health Information Seeking


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5. Health Information Seeking

Z. JANET YANG,State University of New York at Buffalo& SUSAN LAVALLEY,State University of New York at Buffalo

In the last two decades, there has been a steady stream of research on information seeking in mass communication as well as in interpersonal communication, information and library science, health psychology and behavior, and beyond (Case, 2002; Lambert & Loiselle, 2007). In the area of health communication, for instance, researchers have proposed several models of information seeking, including the Health Information Model (Longo, 2005), the Theory of Motivated Information Management (Afifi & Weiner, 2004), the Comprehensive Model of Information Seeking (Johnson & Meischke, 1993), the Health Information Acquisition Model (Freimuth, Stein, & Kean, 1989) and the Risk Information Seeking and Processing Model (Griffin, Dunwoody, & Neuwirth, 1999).

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