The Content Analysis Guidebook
Second Edition
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Go to College Publishing WebsiteDescription
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.
Available with Perusall—an eBook that makes it easier to prepare for class
Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.
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)
Additional materials
Description
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.
Available with Perusall—an eBook that makes it easier to prepare for class
Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.
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)
Additional materials
May 2016 | 456 pages | Sage US
| Format | Published Date | ISBN | Price |
|---|
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.
Available with Perusall—an eBook that makes it easier to prepare for class
Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.
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)