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Klaus Krippendorff - Information theory: structural models for qualitative data

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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.

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Information Theory title Information Theory Structural Models - photo 1
Information Theory

title:Information Theory : Structural Models for Qualitative Data Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-062
author:Krippendorff, Klaus.
publisher:Sage Publications, Inc.
isbn10 | asin:0803921322
print isbn13:9780803921320
ebook isbn13:9780585216867
language:English
subjectInformation theory, Social sciences--Mathematics.
publication date:1986
lcc:Q360.K76 1986eb
ddc:003/.54
subject:Information theory, Social sciences--Mathematics.
SAGE UNIVERSITY PAPERS
Series: Quantitative Applications in the Social Sciences
Series Editor: Michael S. Lewis-Beck, University of Iowa
Editorial Consultants
Richard A. Berk, Sociology, University of California, Los Angeles
William D. Berry, Political Science, Florida State University
Kenneth A. Bollen, Sociology, University of North Carolina, Chapel Hill
Linda B. Bourque, Public Health, University of California, Los Angeles
Jacques A. Hagenaars, Social Sciences, Tilburg University
Sally Jackson, Communications, University of Arizona
Richard M. Jaeger, Education, University of North Carolina, Greensboro
Gary King, Department of Government, Harvard University
Roger E. Kirk, Psychology, Baylor University
Helena Chmura Kraemer, Psychiatry and Behavioral Sciences, Stanford University
Peter Marsden, Sociology, Harvard University
Helmut Norpoth, Political Science, SUNY, Stony Brook
Frank L. Schmidt, Management and Organization, University of Iowa
Herbert Weisberg, Political Science, The Ohio State University
Publisher
Sara Miller McCune, Sage Publications, Inc.
INSTRUCTIONS TO POTENTIAL CONTRIBUTORS
For guidelines on submission of a monograph proposal to this series, please write
Michael S. Lewis-Beck, Editor
Sage QASS Series
Department of Political Science
University of Iowa
Iowa City, IA 52242
Page 1
Series / Number 07-062
Information Theory
Structural Models for Qualitative Data
Klaus Krippendorff
University of Pennsylvania
Picture 2
SAGE PUBLICATIONS
The International Professional Publishers
Newbury Park London New Delhi
Page 2
Copyright 1986 by Sage Publications, Inc.
All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher.
For information address:
Picture 3
SAGE Publications, Inc.
2455 Teller Road
Newbury Park, California 91320
E-mail: order@sagepub.com
SAGE Publications Ltd.
6 Bonhill Street
London EC2A 4PU
United Kingdom
SAGE Publications India Pvt. Ltd.
M-32 Market
Greater Kailash I
New Delhi 110 048 India
Printed in the United States of America
International Standard Book Number 0-8039-2132-2
Library of Congress Catalog Card No. L.C. 86-61611
98 99 00 01 02 12 11 10 9 8 7
When citing a university paper, please use the proper form. Remember to cite the Sage University Paper series title and include the paper number. One of the following formats can be adapted (depending on the style manual used):
(1) KRIPPENDORFF, KLAUS. (1986) Information Theory: Structural Models for Qualitative Data. Sage University Paper Series on Quantitative Applications in the Social Sciences, 07-062. Newbury Park, CA: Sage.
OR
(2) Krippendorff, K. (1986). Information theory: Structural models for qualitative data (Sage University Paper Series on Quantitative Applications in the Social Sciences, series no. 07-062). Newbury Park, CA: Sage.
Page 3
Contents
Series Editor's Introduction
5
Foreword
7
1. Qualitative Data
9
2. Selective Information
13
3. Entropy, Diversity, Variety
15
4. Shannon's Theory of Communication
20
Picture 4
Noise and Equivocation
20
Picture 5
Information Transmitted
23
Picture 6
Redundancy
28
5. Comparisons of Qualitative Variates
29
Picture 7
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