Information Theory: Structural Models for Qualitative Data [Paperback]

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.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