Media Messages and Public Health: A Decisions Approach to Content Analysis

by Jordan; Amy

• ISBN13: 9780805860245
• ISBN10: 080586024X
• Edition: 1st
• Format: Hardcover
• Copyright: 2008-11-20
• Publisher: Routledge

Summary

Media Messages and Public Health addresses the full range of methodological and conceptual issues involved in content analysis research, specifically focused on public health-related messages and behaviors. Uniquely tailored to the challenges faced by content researchers interested in the study of public health topics, coverage includes: conceptual and methodological foundations involved in the practice of content analysis research used to examine public health issues, measurement challenges posed by the broad range of media, use of content analysis across multiple media types, the potential for individual differences in audience interpretation of message content, case studies that examine public health issues in the media to illustrate the decisions that are made when developing content analysis studies.

Table of Contents

List of Illustrations	p. viii
List of Tables	p. ix
Contributors	p. x
Preface	p. xiv
Conceptual Issues	p. 1
Using Theory to Inform Content Analysis	p. 3
Linking Content Analysis and Media Effects Research	p. 15
Research Design Issues	p. 33
Defining and Measuring Key Content Variables	p. 35
Sampling and Content Analysis: An Overview of the Issues	p. 53
Reliability for Content Analysis	p. 67
Research Ethics in Content Analysis	p. 88
Case Studies	p. 97
Teens and the New Media Environment: Challenges and Opportunities	p. 99
Sexually Explicit Content Viewed by Teens on the Internet	p. 116
(De)coding Television's Representation of Sexuality: Beyond Behaviours and Dialogue	p. 137
Linking Media Content to Media Effects: The RAND Television and Adolescent Sexuality Study	p. 154
Health Messages on Prime-time Television: A Longitudinal Content Analysis	p. 173
Receiver-oriented Message Analysis: Lessons from Alcohol Advertising	p. 192
Violent Video Games: Challenges to Assessing Content Patterns	p. 211
The Big Picture	p. 231
Non-academic Audiences for Content Analysis Research	p. 233
Advancing the Science of Content Analysis	p. 246
Subject index	p. 259
Author index	p. 265
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