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Holding the press to account : utilizing content analysis to measure gender bias in US presidential campaign coverage / Melissa K. Miller.
Author
Miller, Melissa K.
[Browse]
Format
Book
Language
English
Published/Created
London : SAGE Publications, Ltd., 2022.
Description
1 online resource : illustrations.
Details
Subject(s)
Press and politics
—
United States
—
Case studies
[Browse]
Sex discrimination
—
United States
—
Case studies
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Series
SAGE research methods cases.
[More in this series]
Summary note
Content analysis is well suited for projects involving analysis of written and/or recorded artifacts, like speeches, advertisements, and news reports. Careful planning is vital in order to avoid the pitfalls associated with content analysis and assure the collection of quality data suitable for analysis. This paper reports on two large-scale content-coding projects undertaken collaboratively by faculty and students at Bowling State University. Each scrutinized press coverage of the 2008 US presidential campaign for gender bias, and each resulted in highly placed publications for faculty and valuable research experience for students. This practical guide draws on lessons learned and can be utilized by researchers interested in launching team-driven coding projects or those faculty, graduate students, and undergraduates planning to undertake solo content-coding projects. Tips for all aspects of project design and implementation are offered. Funding for the content-coding projects on which this case study is based was provided in part by grants from the American Political Science Association and the Center for Research Libraries.
Bibliographic references
Includes bibliographical references.
Source of description
Description based on publisher supplied metadata and other sources.
Contents
Published Articles
Learning Outcomes
Project Overview and Context
Research Design
Research Practicalities
Method in Action
Practical Lessons Learned
Conclusion
Classroom Discussion Questions
Multiple Choice Quiz Questions
Further Reading
Web Resources
References.
Show 10 more Contents items
ISBN
1-5297-9900-7
OCLC
1302060112
Statement on language in description
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