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The Content Analysis Guidebook 1st Edition by Kimberly A Neuendorf ISBN 0761919775 9780761919773

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Author(s): Kimberly A. Neuendorf
ISBN(s): 9780761919773, 0761919775
Edition: 1st
File Details: PDF, 18.49 MB
Year: 2002
Language: english
SKU: EB-1718884 Categories: , Tag:

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ISBN 10: 0761919775 
ISBN 13: 9780761919773
Author: Kimberly A Neuendorf

Content analysis is one of the most important but complex research methodologies in the social sciences. In The Content Analysis Guidebookauthor 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.

The Content Analysis Guidebook provides readers:

Numerous examples from across the social sciences
Sidebars that describe innovative and wide-ranging content analysis projects, from both academia and commercial research
Pedagogical tools in an easy to understand format

The Content Analysis Guidebook 1st Table of contents:

Chapter 1: Defining Content Analysis

  • An Introduction

  • The Growing Popularity of Content Analysis

  • The Myths of Content Analysis

    • Myth 1: Content Analysis Is Limited to Simple Analyses

    • Myth 2: Anyone Can Do Content Analysis

    • Myth 3: The Term Applies to All Message Examinations

    • Myth 4: Content Analysis Is for Academics Only

  • A Six-Part Definition of Content Analysis

    1. Scientific Standards

    2. Message as Unit of Analysis

    3. Quantitative Nature

    4. Summarizing Process

    5. Applicable to All Contexts

    6. All Message Characteristics Are Analyzable

Chapter 2: An Integrative Approach to Content Analysis

  • Language of the Scientific Method

  • Human vs. Computer Coding

  • The Content Analysis Process Flowchart

  • Approaches to Content Analysis

    • Descriptive

    • Inferential

    • Psychometric

    • Predictive

  • Toward an Integrative Model

  • Integrative Data and Logical Linking

    • S → M (Source → Message)

    • M → R (Message → Receiver)

  • Growing Use of Integrative Studies

Chapter 3: Message Units and Sampling

  • Units and Unitizing

  • Defining the Population

    • Cross-Sectional vs. Longitudinal

    • Availability-Based vs. Exposure-Based

  • Archives & Archive Evaluation

  • Sampling Techniques

    • Probability Sampling

    • Nonprobability Sampling

    • Sample Size Considerations

Chapter 4: Variables and Predictions

  • Identifying Critical Variables

    • Universal vs. Medium-Specific

  • Theory-Based vs. Emergent Variables

  • Hypotheses and Research Questions

  • Conceptual Definitions

  • Full Reportage

Chapter 5: Measurement and Validity

  • Measurement Concepts

  • Validity, Reliability, Accuracy & Precision

  • Types of Validity

    • Internal & External

    • Face, Criterion, Content, Construct

  • Validation in Content Analysis

    • Human-Coded

    • CATA (Computer-Aided Text Analysis)

  • Operationalization

    • Exhaustiveness & Exclusivity

    • Levels of Measurement

  • Human vs. Computer Coding

  • Codebooks, Coders & Training

  • Medium Modality

  • Index Construction

  • Full Reportage

Chapter 6: Reliability

  • Intercoder Reliability Basics

  • Agreement vs. Covariation

  • Threats to Reliability

  • Reliability for Manifest vs. Latent Content

  • Intercoder Reliability Coefficients

    • Calculating Coefficients

    • Subsampling and Sampling Type

    • Intracoder Reliability

  • Advanced Reliability Considerations

    • Sequential Coding

    • Variability Models

  • Full Reportage

Chapter 7: Content Analysis in the Interactive Media Age

  • The Nature of Interactive Content

  • Content Acquisition

    • Video Games

    • Web 2.0

    • Online News

  • Archiving Interactive Content

  • Coding Interactive Content

    • Unitizing, Codebooks, Technologies

  • Automated Measurement in Video and Media

  • Almost Content Analysis

  • Conclusion

Chapter 8: Results and Reporting

  • Data Handling

  • Hypothesis Testing

    • Parametric vs. Nonparametric Tests

  • Statistical Tools

    • Frequencies

    • Co-occurrences

    • Timelines

    • Bivariate & Multivariate Analysis

Chapter 9: Contexts

  • Psychometric Applications

  • Thematic Analysis

  • Clinical Applications

  • Linguistics & Stylometrics

  • Content Analysis in Various Fields

    • Interpersonal Communication

    • Organizational Communication

    • Health, Advertising, News

    • Political Communication

    • Violence, Gender, Sexuality, Minorities

    • Film, Music, Sentiment

  • Legal and Commercial Applications

  • Future Directions

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Tags: Kimberly A Neuendorf, Content Analysis