William George Jacoby - Data Theory and Dimensional Analysis (Quantitative Applications in the Social Sciences)

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title	:	Data Theory and Dimensional Analysis : Subtitle
author	:	Jacoby, William G.
publisher	:	Sage Publications, Inc.
isbn10 | asin	:	0803941781
print isbn13	:	9780803941786
ebook isbn13	:	9780585180922
language	:	English
subject	Social sciences--Statistical methods, Scaling (Social sciences).
publication date	:	1991
lcc	:	H61.27.J36 1991eb
ddc	:	300/.01/5195
subject	:	Social sciences--Statistical methods, Scaling (Social sciences).

Data Theory and Dimensional Analysis

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 i Series / Number 07-078 Data Theory and Dimensional Analysis William G. Jacoby University of South Carolina SAGE PUBLICATIONS The International Professional Publishers Newbury Park London New Delhi

Page ii Copyright1991 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: 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 0-8039-4178-1 Library of Congress Catalog Card No. 91-0000 96 97 98 99 00 01 02 10 9 8 7 6 5 4 Sage Production Editor: Diane S. Foster When citing a university paper, please use the proper form. Remember to cite the current 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)WELLER, S.C., & ROMNEY, A.K. (1990) Metric Scaling: Correspondence Analysis. Sage University Paper Series on Quantitative Applications in the Social Sciences, 07-075. Newbury Park, CA: Sage. OR (2)Weller, S.C., & Romney, A.K. (1990). Metric scaling: Correspondence analysis (Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-075). Newbury Park, CA: Sage.

Page iii Contents Series Editor's Introduction 1 1. Introduction 3 Definition of Data Theory 4 Objectives of This Monograph 4 2. Measurement 5 Measurement As Theory Testing 5 Levels of Measurement 7 3. Data Theory 13 Data As a Geometric Model 14

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