The Content Analysis Guidebook

Content analysis is one of the most important but complex research methodologies in the social sciences. In this thoroughly updated Second Edition of The Content Analysis Guidebook, author Kimberly Neuendorf draws on examples from across numerous disciplines to clarify the complicated aspects of content analysis through step-by-step instruction and practical advice. Throughout the book, the author also describes a wide range of innovative content analysis projects from both academia and commercial research that provide readers with a deeper understanding of the research process and its many real-world applications.

Table of Contents:
Chapter 1: Defining Content Analysis An Introduction The Growing Popularity of Content Analysis The Myths of Content Analysis A Six-Part Definition of Content Analysis Chapter 2: An Integrative Approach to Content Analysis The Language of the Scientific Method Human Coding Versus Computer Coding: A Brief Overview How Content Analysis Is Done: A Flowchart for the Typical Process of Content-Analytic Research Approaches to Content Analysis Toward an Integrative Model of Content Analysis Using the Integrative Model of Content Analysis Chapter 3: Message Units and Sampling Units Defining the Population Archives Sampling Sample Size Full Reportage Chapter 4: Variables and Predictions Identifying Critical Variables Full Reportage Chapter 5: Measurement and Validity Defining Measurement Validity, Reliability, Accuracy, and Precision Validity Types of Validity Assessment Validation Procedures in Content Analysis Operationalization Expanding Terminology and Merging Traditions: Big Data, Text Mining, Natural Language Processing, Computational Linguistics, Sentiment Analysis/Opinion Mining, and CATA CATA (Computer-Aided Text Analysis) Selection of a Computer Text Content Analysis Program Human Coding Index Construction in Content Analysis Full Reportage Chapter 6: Reliability Intercoder Reliability: An Introduction to Standards and Practices Issues in the Assessment of Reliability Pilot and Final Reliabilities Intercoder Reliability Coefficients: Issues and Comparisons Calculating Intercoder Reliability Coefficients The Reliability Subsample The Use of Multiple Coders Intracoder Reliability--Assessing Stability over Time Unitizing Reliability Calculating Reliability Coefficients: Programs and Calculators Special Issues in Reliability Coefficient Decision-making Bringing Order to Reliability: Building Models that Specify Sources of Variation Full Reportage Chapter 7: Content Analysis in the Interactive Media Age Considering Interactive Media Content Creation in the Interactive Media Age Acquiring Content in the Interactive Media Age Archiving Content in the Interactive Media Age Coding Content in the Interactive Media Age Automated Technologies and Measurement on the Moving Image Almost Content Analysis Conclusion Chapter 8: Results and Reporting Data Handling and Transformations Hypothesis Testing Selecting the Appropriate Statistical Tests Frequencies Co-Occurrences and In-Context Occurrences Time Lines Bivariate Relationships Multivariate Relationships Chapter 9: Contexts Psychometric Applications of Content Analysis Open-Ended and Pictorial Responses Linguistics and Semantic Networks Stylometrics and Computer Literary Analysis Interaction Analysis Other Interpersonal Behaviors Computer-Mediated Communication Organizational Communication Health Communication Advertising News Political Communication Violence in the Media Gender Roles in the Media Sex and Sexuality in the Media Minority Portrayals Movies Music Sentiment Analysis Academic Literatures Commercial, Governmental, and Other Client-Based Applications of Content Analysis Future Directions Resource 1: CATA—Computer Aided Text Analysis Options Part I. Computer Aided Text Analysis (CATA) Programs Part II: Yoshikoder Example Resource 2: The Content Analysis Guidebook Online (CAGO) Content Analysis Resources Message Archives and Corpora Reliability Human Coding Sample Materials Introduction to Computer Content Analysis (CATA)

About the Author :
 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.