Content analysis : an introduction to its methodology / Klaus Krippendorff.

Format:

Book

Author/Creator:

Krippendorff, Klaus.

Series:

Sage commtext ; 5.

Sage commtext series ; 5.

The Sage commtext series ; 5

Language:

English

Subjects (All):

Content analysis (Communication).

Physical Description:

191 pages : illustrations ; 23 cm.

Place of Publication:

Beverly Hills : Sage Publications, [1980]

Summary:

Content Analysis is considered one of the most important methodologies in communication research. Author Klaus Krippendorff's masterly summation of this method provides an introductory overview of the technique, as well as a comprehensive discussion of the key elements that need to be considered when it is used.

This book commences with a brief history, definitions, and conceptual framework. Considering the uses and kinds of inference that must be addressed, Krippendorf provides a sound introduction as to what can and what cannot be done with content analytic methods. He provides a logical design section, offers a way for designing units of analysis, and lays out a straightforward and understandable recording process as well as the data languages and inferential constructs necessary to undertake a content analytic research program. The uses of frequencies, associations, contingencies, discriminant analysis, clustering, and contextual classification provides the reader with opportunities for using the data generated. In addition, Content Analysis makes an important contribution to reliability and validity in communication research and should set the standard in this matter for students and professionals alike.

Contents:

1 History 13

Quantitative Newspaper Analysis

Early Content Analysis

Propaganda Analysis

Content Analysis Generalized

Computer Text Analysis

2 Conceptual Foundations 21

Elaborations

Framework

Distinctions

3 Uses and Kinds of Inference 33

Systems

Standards

Indices and Symptoms

Linguistic Representations

Communications

Institutional Processes

4 The Logic of Content Analysis Designs 49

Scientific Information Processing

Types of Designs

Components of Content Analysis

5 Unitizing 57

Types of Units of Analysis

Ways of Defining Units

Efficiency and Reliability

6 Sampling 65

Types of Sampling Schemes

Sample Size

7 Recording 71

Observers

Training

Semantics of Data

8 Data Languages 85

Variables

Order

Metric

9 Constructs for Inference 99

Sources of Uncertainties

Sources of Certainties

Types of Constructs

10 Analytical Techniques 109

Frequencies

Associations, Correlations, and Cross-Tabulations

Images, Portrayals, and Discriminant Analysis

Contingencies, Contingency Analysis

Clustering

Contextual Classification

11 The Use of Computers 119

Statistical Analyses

Computational Aids for Survey and Discovery

Computational Content Analysis

12 Reliability 129

Reliability Designs

Agreement

Data Reliability and Standards

Diagnostic Devices

13 Validity 155

A Typology for Validation Efforts

Semantical Validity

Correlational Validity

Predictive Validity

Construct Validity

14 A Practical Guide 169

Design

Execution

Report.

Notes:

Bibliography: pages 181-189.

ISBN:

0803914970

OCLC:

6581330