The Content Analysis Guidebook

Erscheinungsjahr 2002
ISBN: 978-0-7619-1978-0
Verlag: SAGE Publications

Buch, Englisch, 320 Seiten, Format (B × H): 178 mm x 254 mm

Content analysis is one of the most important yet complex research methodologies in the social sciences. The author provides an accessible text for upper-level undergraduates and graduate students, comprising step-by-step instructions and practical advice.

Autoren/Hrsg.

Neuendorf, Kimberly A.

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Demographie, Demoskopie
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik

Inhaltsverzeichnis

List of Boxes
List of Tables and Figures
Foreword
Acknowledgments
1. Defining Content Analysis
Is Content Analysis "Easy"? Is It Something That Anyone Can Do?
A Six-Part Definition of Content Analysis
2. Milestones in the History of Content Analysis
The Growing Popularity of Content Analysis
Milestones of Content Analysis Research
3. Beyond Description: An Integrative Model of Content Analysis
The Language of the Scientific Method
How Content Analysis Is Done: Flowchart for the Typical Process of Content-Analysis Research
Approaches to Content Analysis
The Integrative Model of Content Analysis
Evaluation With the Integrative Model of Content Analysis
4. Message Units and Sampling
Units
Defining the Population
Archives
Medium Management
Sampling
Sample Size
5. Variables and Predictions
Identifying Critical Variables
Hypotheses, Predictions, and Research Questions
6. Measurement Techniques
Defining Measurement
Validity, Reliability, Accuracy, and Precision
Types of Validity Assessment
Operationalization
Computer Coding
Selection of a Computer Text Content Analysis Program
Human Coding
Index Construction in Content Analysis
7. Reliability
Intercoder Reliability Standards and Practices
Issues in the Assessment of Reliability
Pilot and Final Reliabilities
Intercoder Reliability Coefficients: Issues and Comparisons
Calculating Intercoder Reliability Coefficients
Treatment of Variables That Do Not Achieve an Acceptable Level of Reliability
The Use of Multiple Coders
Advanced and Specialty Issues in Reliatbility Coefficient Selection
8. Results and Reporting
Data Handling and Transformations
Hypothesis Tesing
Selecting the Appropriate Statistical Tests
Frequencies
Co-Occurences and In-Context Occurrences
Time Lines
Bivariate Relationships
Multivariate Relationships
9. Contexts
Psychometric Applications of Content Analysis
Open-Ended Written and Pictorial Responses
Linguistics and Semantic Networks
Stylometrics and Computer Literary Analysis
Interaction Analysis
Other Interpersonal Behaviors
Violence in the Media
Gender Roles
Minority Portrayals
Advertising
News
Political Communication
Web Analyses
Other Applied Contexts
Commercial and Other Client-Based Applications of Content Analysis
Future Directions
Resource 1: Message Archives - P.D. Skalski
General Collections
Film, Television and Radio Archives
Literary and General Corpora
Other Archives
Resource 2: Using NEXIS for Text Acquisition for Content Analysis
Resource 3: Computer Content Analysis Software - P.D. Skalski
Part I. Quantitative Computer Text Analysis Programs
Part II. VBPro How-To Guide and Executional Flowchart
Resource 4: An Introduction to PRAM--A Program for Reliability Assessment With Multiple Coders
Resource 5: The Content Analysis Guidebook Online
Content Analysis Resources
Bibliographies
Message Archives and Corpora
Reliability
Human Coding Sample Materials
Computer Content Analysis
References
Author Index
Subject Index
About the Authors

Über Autor(innen)

Neuendorf, Kimberly A.
<p> <b>Kimberly A. Neuendorf holds a Ph.D. from Michigan State University, which has one of the country’s top ten doctoral programs in communication. She has taught research methods and media criticism, among other courses, at Cleveland State for over a decade and has published her own research, in which she used content analysis, in numerous journal articles.</p> </b>