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The Content Analysis Guidebook
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The Content Analysis Guidebook

Second Edition


© 2017 | 456 pages | SAGE Publications, Inc
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.
 
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)  

This is an excellent book for undergraduate students interested in doing content analysis for their dissertations. It is straightforward and covers content at the appropriate level.

Dr Joyce Costello
Corporate & Marketing Communications, Bournemouth University
June 5, 2017

Content analysis is one of the most used research methods in education. This book does nice job to introduce it.

Dr Muhammet Mustafa Alpaslan
Education, Mugla Sitki Kocman Universitesi
December 26, 2016

An excellent text for encouraging students to think beyond questionnaires and interviews when considering how they can collect and analyse data to say something about the social world.

Jamie Harding
Department of Social Sciences, Northumbria University
May 12, 2017

It is a very good guide to content analysis which makes a nice job explaining core concepts and techniques.

Mr Antonio Marques-Mendes
London College of Communication, University of the Arts London
November 16, 2016

This is an excellent and comprehensive guidebook for students, researchers and teachers.

Dr Gianina-Ioana Postavaru
Psychology, Bishop Grosseteste University
October 27, 2016

Sample Materials & Chapters

Chapter #1

Chapter #9


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ISBN: 9781412979474