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Informationen zum Autor Klaus Krippendorff (PhD in Communication, University of Illinois, Urbana, 1967) is Professor of Communication and Gregory Bateson Term Professor for Cybernetics, Language, and Culture at the University of Pennsylvaniäs Annenberg School for Communication. Besides numerous publications in journals of communication, sociological methodology, cybernetics, and system theory, he authored Information Theory, Structural Models for Qualitative Data, a Dictionary of Cybernetics, edited Communication and Control in Society, and coedited The Analysis of Communication Content and Developments and Scientific Theories and Computer Techniques. Besides supporting various initiatives to develop content analysis techniques and continuing work on reliability measurement, Klaus Krippendorff's current interest is fourfold: With epistemology in mind, he inquires into how language brings forth reality. As a critical scholar, he explores the conditions of entrapment and liberation. As a second-order cybernetician, he plays with recursive constructions of self and others in conversations; and as designer, he attempts to move the meaning and human use of technological artifacts into the center of design considerations, causing a redesign of design - all of them exciting projects. Klappentext 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. Inhaltsverzeichnis 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 ...
