Information Theory

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Klaus Krippendorff - The Annenberg School for Communication, University of Pennsylvania

Volume: 62

Series:
Quantitative Applications in the Social Sciences

Other Titles in:
Quantitative/Statistical Research (General)

November 1986 | 96 pages | SAGE Publications, Inc

Description
Contents

Krippendorff introduces social scientists to information theory and explains its application for structural modeling. He discusses key topics such as: how to confirm an information theory model; its use in exploratory research; and how it compares with other approaches such as network analysis, path analysis, chi square and analysis of variance.

Information Theory simplifies and clarifies a complex but powerful statistical method for analysing multivariate qualitative data. It will serve both as a textbook and as a sourcebook for researchers in communication theory, information theory and systems theory.

Qualitative Data

Selective Information

Entropy, Diversity, Variety

Shannon's Theory of Communication

Comparisons of Qualitative Variates

Structural Models

Models With and Without Loops

Information in Models and in Data

Structural Zeros

Degrees of Freedom

The Significance of Information Quantities

Maximum Entropy Computations

Confirmation

Exploration

Comparisons with Alternative Approaches

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