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Edward G. Carmines - Reliability and validity assessment, Volume 17

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This guide explains how social scientists can evaluate the reliability and validity of empirical measurements, discussing the three basic types of validity: criterion related, content, and construct. In addition, the paper shows how reliability is assessed by the retest method, alternative-forms procedure, split-halves approach, and internal consistency method.

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title Reliability and Validity Assessment Sage University Papers Series - photo 1

title:Reliability and Validity Assessment Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-017
author:Carmines, Edward G.; Zeller, Richard A.
publisher:Sage Publications, Inc.
isbn10 | asin:0803913710
print isbn13:9780803913714
ebook isbn13:9780585212272
language:English
subjectSocial sciences--Methodology, Social sciences--Statistical methods.
publication date:1979
lcc:H61.C26 1979eb
ddc:300/.1/8
subject:Social sciences--Methodology, Social sciences--Statistical methods.
Reliability and Validity Assessment
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 07-017
Reliability and Validity Assessment
Edward G. Carmines
Indiana University
Richard A. Zeller
Bowling Green State University
Picture 2
SAGE PUBLICATIONS
The International Professional Publishers
Newbury Park London New Delhi
Page 2
Copyright 1979 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
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
Printed in the United States of America
International Standard Book Number 0-8039-1371-0
Library of Congress Catalog Card No. L.C. 79-67629
99 00 01 26 25 24
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) 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
Editor's Introduction
5
1. Introduction
9
Picture 4
Definition of Measurement
9
Picture 5
Reliability and Validity Defined
11
Picture 6
Random and Nonrandom Measurements Error
13
Picture 7
Conclusion
15
2. Validity
17
Picture 8
Criterion-Related Validity
17
Picture 9
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