The Content Analysis Guidebook Second Edition
Kimberly A. Neuendorf Cleveland State University
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用于分析交互媒体(社交媒体等)中的内容
目录
Contents
List of Boxes
List of Tables and Figures
Preface
Acknowledgments
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; It Doesn’t Take Any Special Preparation
Myth 3: The Term Content Analysis Applies to All Examinations of Messages
Myth 4: Content Analysis Is for Academic Use Only
A Six-Part Definition of Content Analysis
1.Content Analysis as Following the Standards of the Scientific Method
2.The Message as the Unit of Analysis, the Unit of Data Collection, or Both
3.Content Analysis as Quantitative
4.Content Analysis as Summarizing
5.Content Analysis as Applicable to All Contexts
6.All Message Characteristics Are Available to Content Analyze
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-Analyti