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Steven J. Osterlind - Test item bias

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A unique, practical manual for identifying and analyzing item bias in standardized tests. Osterlind discusses five strategies for detecting bias: analysis of variance, transformed item difficulties, chi square, item characteristic curve, and distractor response. He covers specific hypotheses under test for each technique, as well as the capabilities and limitations of each strategy.

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title Test Item Bias Sage University Papers Series Quantitative - photo 1

title:Test Item Bias Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-030
author:Osterlind, Steven J.
publisher:Sage Publications, Inc.
isbn10 | asin:0803919891
print isbn13:9780803919891
ebook isbn13:9780585217161
language:English
subjectSocial sciences--Statistical methods, Social sciences--Methodology.
publication date:1983
lcc:HA29.O79 1983eb
ddc:519.5/2
subject:Social sciences--Statistical methods, Social sciences--Methodology.
Test Item Bias
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 07-030
Test Item Bias
Steven J. Osterlind
Oakland Unified School District
Picture 2
SAGE PUBLICATIONS
The International Professional Publishers
Newbury Park London New Delhi
Page 2
Copyright 1983 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 0-8039-1989-1
Library of Congress Catalog Card No. L.C. 83-060129
97 98 99 00 01 02 03 15 14 13 12 11 10 9
When citing a professional paper, please use the proper form. Remember to cite the correct Sage University Paper series title and include the paper number. One of the two following formats can be adapted (depending on the style manual used):
(1) IVERSEN, GUDMUND R. and NORPOTH, HELMUT (1976) "Analysis of Variance." Sage University Paper series on Quantitative Applications in the Social Sciences, 07-001. Beverly Hills: Sage Publications.
OR
(2) Iversen, Gudmund R. and Norpoth, Helmut. 1976. Analysis of Variance. Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-001. Beverly Hills: Sage Publications.
Page 3
Contents
Series Editor's Introduction
5
1. Introduction
7
Picture 4
What This Monograph Is About
7
Picture 5
How This Monograph Is Organized
8
Picture 6
What Is Bias?
10
Picture 7
Assumptions and Terms
12
Picture 8
Strategies Preview
14
Picture 9
Quick but Incomplete Methods
16
Picture 10
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