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Content Analysis An Introduction to Its Methodology

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ISBN-10: 1412983150

ISBN-13: 9781412983150

Edition: 3rd 2013

Authors: Klaus Krippendorff

List price: $113.00
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Book details

List price: $113.00
Edition: 3rd
Copyright year: 2013
Publisher: SAGE Publications, Incorporated
Publication date: 4/12/2012
Binding: Paperback
Pages: 456
Size: 7.00" wide x 10.00" long x 0.87" tall
Weight: 1.738

Preface to the Third Edition
Introduction
Conceptualizing Content Analysis
History
Some Precursors
Quantitative Newspaper Analysis
Early Content Analysis
Propaganda Analysis
Content Analysis Generalized
Computer Text Analysis
Qualitative Approaches
Conceptual Foundation
Definition
Epistemological Elaborations
Examples
Framework
Texts
Research Questions
Context
Analytical Constructs
Inferences
Validating Evidence
Contrasts and Comparisons
Uses and Inferences
Traditional Overviews
Extrapolations
Trends
Patterns
Differences
Standards
Identifications
Evaluations
Judgments
Indices and Symptoms
Linguistic Re-Presentations
Conversations
Institutional Processes
Areas of Likely Success
Components of Content Analysis
The Logic of Content Analysis Designs
Content Analysis Designs
Components
Quantitative and Qualitative Content Analysis
Designs Preparatory to Content Analysis
Operationalizing Available Knowledge of the Context
Testing Analytical Constructs as Hypotheses
Developing a Discriminant Function
Designs Exceeding Content Analysis
Comparing Similar Phenomena Inferred From Different Bodies of Texts
Testing Relationships Among Phenomena Inferred From One Body of Texts
Testing Hypotheses Concerning How Content Analysis Results Relate to Other Variables
Unitizing
Units
Types of Units
Sampling Units
Recording/Coding Units
Context Units
Ways of Defining Units
Physical Distinctions
Syntactical Distinctions
Categorial Distinctions
Propositional Distinctions
Thematic Distinctions
Productivity, Efficiency, and Reliability
Sampling
Sampling in Theory
Sampling Techniques Applicable to Texts
Random Sampling
Systematic Sampling
Stratified Sampling
Varying Probability Sampling
Cluster Sampling
Snowball Sampling
Relevance Sampling
Census
Convenience Sampling
Sample Size
Statistical Sampling Theory
Sampling Experiments
The Split-Half Technique
Recording/Coding
The Function of Recording and Coding
Coder Qualifications
Cognitive Abilities
Background
Frequency
Coder Training
Approaches to Defining the Semantics of Data
Verbal Designations
Extensional Lists
Decision Schemes
Magnitudes and Scales
Simulation of Hypothesis Testing
Simulation of Interviewing
Constructs for Closure
Records
Administrative Information
Information on the Organization of Records
Substantive Information About the Phenomena of Interest
Data Languages
The Place of Data Languages in Analysis
Definitions
Variables
Nominal Variables
Orderings
Chains
Recursions
Cubes
Trees
Metrics
Ordinal Metrics
Interval Metrics
Ratio Metrics
Mathematical Operations
Analytical Constructs
The Role of Analytical Constructs
Sources of Certainty
Previous Successes and Failures
Expert Knowledge and Experience
Established Theories
Embodied Practices
Types of Constructs
Extrapolations
Applications of Standards
Indices and Symptoms
Re-Presentations
Conversations/Interactions
Institutional Processes
Sources of Uncertainty
Variance of the Target
Confidence Levels
Appropriateness of the Construct
Analytical Paths and Evaluative Techniques
Analytical/Representational Techniques
Counts
Cross-Tabulations, Associations, and Correlations
Multivariate Techniques
Factor Analysis and Multidimensional Scaling
Images, Portrayals, Semantic Nodes, and Profiles
Contingencies and Contingency Analysis
Clustering
Computer Aids
What Computers Do
How Computers Can Aid Content Analyses
Text Analyses
Accounts of Character Strings
Text Mining
Mining Textual Evidence for Theories
Webgraph Analyses
Computational Content Analyses
Coding/Dictionary Approaches
Statistical Association Approaches
Semantic Network Approaches
Memetic Approaches
Qualitative Data Analysis Support
Frontiers
Intelligent Browsers
Common Platforms
Computational Theories of Meaning
Utilization of Intertextualities
Natural Interfaces
Reliability
Why Reliability?
Reliability Designs
Types of Reliability
Conditions for Generating Reliability Data
Reliability Data
�-Agreement for Coding
The Direct Path to �
The Indirect Path to � via Coincidence Matrices
Difference Functions for Data With Various Metrics
Some Typical Cases
Some Contested Coefficients and Correspondences
�-Agreement for Unitizing
Reliability Data for Unitizing
Difference Functions for Unitizing
Computing <sub>u</sub>� for Unitizing
�-Agreement for Coding Identified Units of Unequal Size
Statistical Properties of �
Insufficient Variation
Statistical Significance
Sampling Considerations
Standards for the Reliability of Data
Validity
Validity Defined
A Typology for Validating Evidence
Sampling Validity
Semantic Validity
Structural Validity
Functional Validity
Correlative Validity
Predictive Validity
A Practical Guide
Designing an Analysis
Text-Driven Analyses
Problem-Driven Analyses
Method-Driven Analyses
Writing a Research Proposal
Rhetorical Function
Contractual Function
Outline for a Research Proposal
Applying the Research Design
Narrating the Results
Outline for a Research Report
Glossary
References
Index
About the Author