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Eun Sul Lee - Analyzing complex survey data, Issue 71

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Social scientists are demanding more analytic studies of social survey data in order to examine a variety of emerging issues. Answering this need, Analyzing Complex Survey Data offers an effective means of examining and analyzing complex surveys -- and how to overcome problems that often arise. It includes discussions on the choices involved in variance estimates, simple random sampling without replacement, stratified random sampling and two-stage cluster sampling, and outlines the different computer programs that are currently available.

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title Analyzing Complex Survey Data Sage University Papers Series - photo 1

title:Analyzing Complex Survey Data Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-071
author:Lee, Eun Sul.; Forthofer, Ron N.; Lorimor, Ronald J.
publisher:Sage Publications, Inc.
isbn10 | asin:0803930143
print isbn13:9780803930148
ebook isbn13:9780585212067
language:English
subjectMathematical statistics, Surveys--Statistical methods.
publication date:1989
lcc:QA276.L3394 1989eb
ddc:001.4/225
subject:Mathematical statistics, Surveys--Statistical methods.
Analyzing Complex Survey Data
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 07-071
Analyzing Complex Survey Data
Eun Sul Lee
University of Texas
Ronald N. Forthofer
University of Texas
Ronald J. Lorimer
University of Texas
Picture 2
SAGE PUBLICATIONS
The International Professional Publishers
Newbury Park London New Delhi
Page 2
Copyright 1989 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 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
International Standard Book Number 0-8039-3014-3
Library of Congress Catalog Card No. 89-061127
98 99 00 01 02 13 12 11 10 9 8
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)McCutcheon, A.L. (1987). Latent class analysis (Sage University Paper series on Quantitative Applications in the Social Sciences, No. 07-064). Newbury Park, CA: Sage.
OR
(2)McCutcheon, A.L. 1987. Latent class analysis. Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-064. Newbury Park, CA: Sage.
Page 3
Contents
Series Editor's Introduction
5
1. Introduction
7
2. Sample Design and Survey Data
9
Picture 4
Types of Sampling
9
Picture 5
The Nature of Survey Data
13
3. Survey Data Analysis
16
Picture 6
Adjusting for Differential Representation: The Weight
16
Picture 7
Developing the Weight: An Example
18
Picture 8
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