The content analysis guidebook

書誌事項

The content analysis guidebook

Kimberly A. Neuendorf

Sage, c2017

2nd ed

  • : pbk

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注記

Previous ed.: 2002

Includes bibliographical references (p. 328-403) and indexes

内容説明・目次

内容説明

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 provides an accessible core text for upper-level undergraduates and graduate students across the social sciences. Comprising step-by-step instructions and practical advice, this text unravels the complicated aspects of content analysis.

目次

Chapter 1: Defining Content Analysis An Introduction The Growing Popularity of Content Analysis The Myths of Content Analysis A Six-Part Definition of Content AnalysisChapter 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 AnalysisChapter 3: Message Units and Sampling Units Defining the Population Archives Sampling Sample Size Full ReportageChapter 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 ReportageChapter 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 ReportageChapter 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 ConclusionChapter 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 RelationshipsChapter 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 DirectionsResource 1: CATA-Computer Aided Text Analysis Options Part I. Computer Aided Text Analysis (CATA) Programs Part II: Yoshikoder ExampleResource 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)

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