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Information Theory
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Information Theory
Structural Models for Qualitative Data



September 1986 | 96 pages | SAGE Publications, Inc
Information theory always has the dual appeal of bringing important concepts to the study of communication in society, and of providing a calculus for information flows within systems. This book introduces readers to basic concepts of information theory, extending its original linear conception of communication to many variables, networks, and higher-order interactions (including loops) and developing it into a method for analyzing qualitative data. It elaborates on the algebra of entropy and information, shows how complex models of data are constructed and tested, describes algorithms for exploring multivariate structures using such models, and gives illustrative applications of these techniques. The book is designed as a text but it can also serve as a handbook for social researchers and systems theorists with an interest in communication.

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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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ISBN: 9780803921320
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