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Content Analysis
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Content Analysis
An Introduction to Its Methodology

Fourth Edition


July 2018 | 472 pages | SAGE Publications, Inc

What matters in people’s social lives? What motivates and inspires our society? How do we enact what we know?

Since the first edition published in 1980, Content Analysis has helped shape and define the field. In the highly anticipated Fourth Edition, award-winning scholar and author Klaus Krippendorff introduces readers to the most current method of analyzing the textual fabric of contemporary society. Students and scholars will learn to treat data not as physical events but as communications that are created and disseminated to be seen, read, interpreted, enacted, and reflected upon according to the meanings they have for their recipients. Interpreting communications as texts in the contexts of their social uses distinguishes content analysis from other empirical methods of inquiry.

Organized into three parts, Content Analysis first examines the conceptual aspects of content analysis, then discusses components such as unitizing and sampling, and concludes by showing readers how to trace the analytical paths and apply evaluative techniques. The Fourth Edition has been completely revised to offer readers the most current techniques and research on content analysis, including new information on reliability and social media. Readers will also gain practical advice and experience for teaching academic and commercial researchers how to conduct content analysis. 

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Preface to the Fourth Edition
 
Introduction
 
PART I. CONCEPTUALIZING CONTENT ANALYSIS
 
Chapter 1. History
1.1 Some Precursors  
1.2 Quantitative Newspaper Analysis  
1.3 Early Content Analysis  
1.4 Propaganda Analysis  
1.5 Content Analysis Generalized  
1.6 Computer Text Analysis  
1.7 Qualitative Approaches  
 
Chapter 2. Conceptual Foundation
2.1 Definition  
2.2 Epistemological Elaborations  
2.3 Examples  
2.4 Framework  
2.5 Contrasts and Comparisons  
 
Chapter 3. Uses and Inferences
3.1 Traditional Overviews  
3.2 Extrapolations  
3.3 Standards  
3.4 Indices and Symptoms  
3.5 Linguistic Re-Presentations  
3.6 Conversations  
3.7 Institutional Processes  
3.8 Areas of Likely Success  
 
PART II. COMPONENTS OF CONTENT ANALYSIS
 
Chapter 4. The Logic of Content Analysis Designs
4.1 Content Analysis Designs  
4.2 Designs Preparatory to Content Analysis  
4.3 Designs Going Beyond Content Analysis  
 
Chapter 5. Unitizing
5.1 Units  
5.2 Types of Units  
5.3 Ways of Defining Units  
5.4 Productivity, Efficiency, and Reliability  
 
Chapter 6. Sampling
6.1 Sampling in Theory  
6.2 Sampling Techniques Applicable to Texts  
6.3 Sample Size  
 
Chapter 7. Recording/Coding
7.1 The Function of Coding and Recording  
7.2 Coder Qualifications  
7.3 Coder Training  
7.4 Crowdcoding  
7.5 Approaches to Defining the Semantics of Data  
7.6 Records  
 
Chapter 8. Data Languages
8.1 The Place of Data Languages in Analytical Efforts  
8.2 Definitions  
8.3 Variables  
8.4 Nominal Variables  
8.5 Ordered Variable  
8.6 Metrics  
8.7 Mathematical Operations  
 
Chapter 9. Analytical Constructs
9.1 The Role of Analytical Constructs  
9.2 Sources of Certainty  
9.3 Types of Constructs  
9.4 Sources of Uncertainty  
 
PART III. ANALYTICAL PATHS AND EVALUATIVE TECHNIQUES
 
Chapter 10. Analytical/Representational Techniques
10.1 Counts  
10.2 Cross-Tabulations, Associations, and Correlations  
10.3 Multivariate Techniques  
10.4 Factor Analysis and Multidimensional Scaling  
10.5 Images, Portrayals, Semantic Nodes, and Profiles  
10.6 Contingencies and Contingency Analysis  
10.7 Clustering  
 
Chapter 11. Computer Aids
11.1 What Computers Do  
11.2 How Computers Can Aid Content Analyses  
11.3 Text Analyses  
11.4 Computational Content Analyses  
11.5 Qualitative Data Analysis Support  
11.6 Frontiers  
 
Chapter 12. Reliability
12.1 Why Reliability?  
12.2 Reliability Designs  
12.3 Agreement on Coding Predefined Units  
12.4 Accuracy, Surrogacy, and the Decisiveness of Majorities  
12.5 The Reliability of Text Mining and Information Retrieval  
12.6 Agreement on Unitizing and Coding Finite Continua  
12.7 Agreement on Multi-Valued Coding  
12.8 Statistical Properties of a  
 
Chapter 13. Validity
13.1 Validity Defined  
13.2 A Typology for Validating Evidence  
 
Chapter 14. A Practical Guide
14.1 Designing an Analysis  
14.2 Writing a Research Proposal  
14.3 Applying the Research Design  
14.4 Narrating the Results  
 
Glossary
 
References
 
Index
 
About the Author

Sample Materials & Chapters

Chapter 1. History

Chapter 3. Uses and Inferences


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ISBN: 9781506395661
£84.00