Missing Data Analysis and Design
Missing data have long plagued those conducting applied research in the social, behavioral, and health sciences. Good missing data analysis solutions are available, but practical information about implementation of these solutions has been lacking.&
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Advisors: S.E. Fienberg W.J. van der Linden
For further volumes: http://www.springer.com/series/3463
John W. Graham
Missing Data Analysis and Design
John W. Graham Department of Biobehavioral Health Health & Human Development Bldg. East The Pennsylvania State University University Park, PA, USA
Please note that additional material for this book can be downloaded from http://extras.springer.com ISBN 978-1-4614-4017-8 ISBN 978-1-4614-4018-5 (eBook) DOI 10.1007/978-1-4614-4018-5 Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2012938715 © Springer Science+Business Media New York 2012 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
For Linda, Matthew, Joy, and Jazeya
Preface
My interest in missing data issues began in the early 1980s when I began working with the group that was to become the Institute for Health Promotion and Disease Prevention Research (better known as IPR) at the University of Southern California. This was my introduction to large-scale, longitudinal, field-experimental research. I had been trained in a traditional experimental social psychology program at the University of Southern California, and most of my colleagues at IPR (at least in the early days) happened also to have been trained as social psychologis
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