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The Content Analysis Guidebook
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The Content Analysis Guidebook

Second Edition


May 2016 | 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 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.


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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)

 

The book discusses one of the most popular communication research methods, which is discussed with students.

Dr Zinaida Manžuch
Communications, Vilnius University
March 10, 2019

The book provides a practical and valuable toolkit for students of different Levels doing Content Analysis

Dr Gabriele Habinger
Dept of Social & Cultural Anthropoloy, University of Vienna
February 13, 2018

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

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

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

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

I've waited a long time for the new version of this book. The new additions relating to the content analysis of the online environment are very successful (already in many of my syllabuses for next year). This is undoubtedly a must-read for any methodological course. Excellent reference book for any researcher analyzes content.

Dr Yaron Ariel
Communication, The Max Stern Academic College of Emek Yezreel
September 24, 2016
Key features

KEY FEATURES

  • Numerous examples from across numerous disciplines give readers the ability to explain findings and predict future outcomes in a variety contexts. 
  • Sidebars descriptions of innovative and wide-ranging content analysis projects, from both academia and commercial research, illustrate the interdisciplinary utility of content analysis.
  • Pedagogical tools in an easy to understand format help readers unravel the complicated aspects of content analysis.   

NEW TO THIS EDITION

  • A new chapter on "Content Analysis in the Interactive Media Age" (Ch.7) shows readers how to create, aquire, archive and code interactive media content. 
  • The "Integrative Model of Content Analysis," which explains how content analysis may be linked with source and/or receiver characteristics, has been revised to clarify a difference between "data links" and "logical links" among source-message-receiver components.
  • New examples and updated references throughout keep readers up-to-date with the latest scholarship in content analysis and its application to everyday life.
  • A new section focused specifically on validity gives readers a deeper understanding of measurement and llustrates how the standards of validity interrelate.  
  • A new resource section devoted to Computer Aided Text Analysis (CATA) programs such as Yoshikoder introduce readers to a growing set of options for automated analyses.
       

Sample Materials & Chapters

Chapter #1

Chapter #9


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