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James A. Davis - The Logic Of Causal Order

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This monograph is not statistical. It looks instead at pre-statistical assumptions about dependent variables and causal order. Professor Davis spells out the logical principles that underlie our ideas of causality and explains how to discover causal direction, irrespective of the statistical technique used. He stresses throughout that knowledge of the real world is important and repeatedly challenges the myth that causal problems can be solved by statistical calculations alone.

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title The Logic of Causal Order A Sage University Papers Series No - photo 1

title:The Logic of Causal Order A Sage University Papers Series. No. 07-055
author:Davis, James Allan.
publisher:Sage Publications, Inc.
isbn10 | asin:0803925530
print isbn13:9780803925533
ebook isbn13:9780585213361
language:English
subjectSocial sciences--Statistical methods.
publication date:1985
lcc:HA29.D335 1985eb
ddc:300/.1/5195
subject:Social sciences--Statistical methods.
The Logic of Causal Order
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 07-055
The Logic of Causal Order
James A. Davis
Harvard University
Page 2 Copyright 1985 by Sage Publications Inc Printed in the United - photo 2
Page 2
Copyright 1985 by Sage Publications, Inc.
Printed in the United States of America
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:
Picture 3
SAGE Publications, Inc.
2455 Teller Road
Thousand Oaks, 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
International Standard Book Number 0-8039-2553-0
Library of Congress Catalog Card No. 85-062371
99 00 01 02 18 17 16 15
When citing a university paper, please use the proper form. Remember to cite the correct 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)HENKEL, RAMON E. (1976) Tests of Significance. Sage University Paper Series on Quantitative Applications in the Social Sciences, 07-004. Newbury Park, CA: Sage.
OR
(2) Henkel, R. E. (1976). Tests of significance (Sage University Paper Series on Quantitative Applications in the Social Sciences, series no. 07-04). Newbury Park, CA: Sage.
Page 3
Contents
Series Editor's Introduction
5
1. Introduction
7
Picture 4
Two Variables
9
2. Using the Logic
34
Picture 5
Estimating Direct Effects
36
Picture 6
Strategies for Analysis
38
3. The Costs of Being Wrong
64
4. Summary
66
Notes
69
References
70
About the Author
71

Page 5
Series Editor's Introduction
In the explosive growth of social science statistical methods, it is easy to forget that quantitative research rests on logical foundations that cut across specific techniques. Which is the dependent variable? Which variables shall we control? Would a change in X produce as much change in Y as the coefficient implies?
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