Content analysis : an introduction to its methodology

書誌事項

Content analysis : an introduction to its methodology

Klaus Krippendorff

SAGE, c2019

4th ed

  • : pbk

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注記

Includes bibliographical references (p. 414-432) and index

内容説明・目次

内容説明

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.

目次

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

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詳細情報

  • NII書誌ID(NCID)
    BB27045270
  • ISBN
    • 9781506395661
  • LCCN
    2017050739
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Los Angeles
  • ページ数/冊数
    xiv, 453 p.
  • 大きさ
    26 cm
  • 分類
  • 件名
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