ebook THE GUILFORD PRESS Principles and Practice of Structural Equation Modeling Methodology in the Social Sciences David A. Kenny, Founding Editor Todd D. Little, Series Editor www.guilford.com/MSS This series provides applied researchers and students with analysis and research design books that emphasize the use of methods to answer research questions. Rather than emphasizing statistical theory, each volume in the series illustrates when a technique should (and should not) be used and how the output from available software programs should (and should not) be interpreted. Common pitfalls as well as areas of further development are clearly articulated. RECENT VOLUMES APPLIED MISSING DATA ANALYSIS Craig K. Enders APPLIED META-ANALYSIS FOR SOCIAL SCIENCE RESEARCH Noel A. Card DATA ANALYSIS WITH Mplus Christian Geiser INTENSIVE LONGITUDINAL METHODS: AN INTRODUCTION TO DIARY AND ExPERIENCE SAMPLING RESEARCH Niall Bolger and Jean-Philippe Laurenceau DOING STATISTICAL MEDIATION AND MODERATION Paul E. Jose LONGITUDINAL STRUCTURAL EQUATION MODELING Todd D. Little INTRODUCTION TO MEDIATION, MODERATION, AND CONDITIONAL PROCESS ANALYSIS: A REGRESSION-BASED APPROACH Andrew F. Hayes BAYESIAN STATISTICS FOR THE SOCIAL SCIENCES David Kaplan CONFIRMATORY FACTOR ANALYSIS FOR APPLIED RESEARCH, SECOND EDITION Timothy A. Brown PRINCIPLES AND PRACTICE OF STRUCTURAL EQUATION MODELING, FOURTH EDITION Rex B. Kline Principles and Practice of Structural Equation Modeling Fourth Edition rex B. Kline Series Editor’s Note by Todd D. Little thE GuiLFord PrESS new York London © 2016 The Guilford Press A Division of Guilford Publications, Inc. 370 Seventh Avenue, Suite 1200, New York, NY 10001 www.guilford.com All rights reserved No part of this book may be reproduced, translated, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, microfilming, recording, or otherwise, without written permission from the publisher. Printed in the United States of America This book is printed on acid-free paper. Last digit is print number: 9 8 7 6 5 4 3 2 1 Library of Congress Cataloging-in-Publication Data is available from the publisher 978-1-4625-2334-4 (paperback) 978-1-4625-2335-1 (hardcover) For my family— Joanna, Julia Anne, and Luke Christopher and Stephen Albert Hamilton Wright (1957–2014) I sense the world might be more dreamlike, metaphorical, and poetic than we currently believe— but just as irrational as sympathetic magic when looked at in a typically scientific way. I wouldn’t be surprised if poetry— poetry in the broadest sense, in the sense of a world filled with metaphor, rhyme, and recurring patterns, shapes, and designs— is how the world works. The world isn’t logical, it’s a song. —DaviD Byrne (2009) Series Editor’s Note Rex Kline has assembled a fourth edition that retains all the wonderful features of his bestselling earlier editions, and he seamlessly integrates recent advances in structural equation modeling (SEM). Rex is a scholar of SEM and has a special gift—of being able to communicate complex statistical concepts in language that all readers can grasp. The accessible style of writing and the many pedagogical features of the book (e.g., chapter- end annotated reading lists, exercises with answers) make it a “must have” for any user of SEM. It is a resource that keeps improving and expanding with each new edition and is the resource I recommend first on this subject—whether the question comes from a beginner or an experienced user. As a scholar of modern statistical practice and techniques, Rex has studied the developments and advances in the world of SEM generally, and he has covered “hot” topics, such as Pearl’s structural causal modeling. His coverage of Pearl’s graph theory approach to causal reasoning, as many of the reviewers of prepublication drafts of the fourth edition have also noted, is both easy to understand and comprehensive. It’s so good, he ought to get a prize for best in presentation! In this new edition, he takes us through causal mediation analysis, conditional process modeling, and confirmatory fac- tor analysis with categorical indicators. Other additions to this masterpiece of pedagogy include insightful discussions of significance testing, the use of bootstrap estimation, and the principles of measurement theory. Although Rex suggests in his Introduction that no single book can cover all of SEM, his book is about as thorough as they come. His didactic approach is refreshing and engaging, and the breadth and depth of material covered is simply impressive. As he notes and you will feel, Rex is a researcher talking to you as a fellow researcher, carefully explaining in conceptually driven terms the logic and principles that underlie the world of SEM. The wealth of examples provide entry points for researchers across a vii viii Series Editor’s Note broad array of disciplines. This book will speak to you regardless of your field or specific area of expertise. As always, the support materials that Rex provides are thorough: he covers now six different SEM software packages (Amos, EQS, lavaan for R, LISREL, Mplus, and Stata)! The Appendix material is a treasure trove of useful building blocks, from the ele- ments of LISREL notation, to practical advice, to didactic presentation of complex ideas and procedures. Rex has assembled real-world examples of troublesome data to demon- strate how to handle the analysis problems that inevitably pop up. These features have always been a mainstay of earlier editions, but they have now been expanded to cover even more topics. Rex bookends all this material with an introductory chapter that truly sets the stage for the journey through the land of SEM and a concluding chapter that covers very practical best-practice advice for every step along the way. Enjoy Rex Kline’s classic for a fourth time! Todd d. LiTTLe At 28,000 feet On my way to Wit’s End Lakeside, Montana
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