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Barbara M. Byrne - Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming

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Barbara M. Byrne Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming
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Modeled after Barbara Byrnes other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author walks the reader through all steps involved in testing the SEM model including:

  • an explanation of the issues addressed
  • illustrated and annotated testing of the hypothesized and post hoc models
  • explanation and interpretation of all Mplus input and output files
  • important caveats pertinent to the SEM application under study
  • a description of the data and reference upon which the model was based
  • the corresponding data and syntax files available at http://www.psypress.com/sem-with-mplus/datasets .

The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models.

Intended for researchers, practitioners, and students who use SEM and Mplus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or Mplus, a prerequisite of basic statistics through regression analysis is recommended.

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Structural Equation
Modeling with Mplus

Basic Concepts, Applications, and Programming

Multivariate Applications Series

Sponsored by the Society of Multivariate Experimental Psychology, the goal of this series is to apply complex statistical methods to significant social or behavioral issues, in such a way so as to be accessible to a nontechnical-oriented readership (e.g., nonmethodological researchers, teachers, students, government personnel, practitioners, and other professionals). Applications from a variety of disciplines such as psychology, public health, sociology, education, and business are welcome. Books can be single- or multiple-authored or edited volumes that (a) demonstrate the application of a variety of multivariate methods to a single, major area of research; (b) describe a multivariate procedure or framework that could be applied to a number of research areas; or (c) present a variety of perspectives on a topic of interest to applied multivariate researchers.

There are currently 19 books in the series:

  • What if There Were No Significance Tests? coedited by Lisa L. Harlow, Stanley A. Mulaik, and James H. Steiger (1997)
  • Structural Equation Modeling With LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming, written by Barbara M. Byrne (1998)
  • Multivariate Applications in Substance Use Research: New Methods for New Questions, coedited by Jennifer S. Rose, Laurie Chassin, Clark C. Presson, and Steven J. Sherman (2000)
  • Item Response Theory for Psychologists, coauthored by Susan E. Embretson and Steven P. Reise (2000)
  • Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, written by Barbara M. Byrne (2001)
  • Conducting Meta-Analysis Using SAS, written by Winfred Arthur, Jr., Winston Bennett, Jr., and Allen I. Huffcutt (2001)
  • Modeling Intraindividual Variability With Repeated Measures Data: Methods and Applications, coedited by D. S. Moskowitz and Scott L. Hershberger (2002)
  • Multilevel Modeling: Methodological Advances, Issues, and Applications, coedited by Steven P. Reise and Naihua Duan (2003)
  • The Essence of Multivariate Thinking: Basic Themes and Methods, written by Lisa Harlow (2005)
  • Contemporary Psychometrics: A Festschrift for Roderick P. McDonald, coedited by Albert Maydeu-Olivares and John J. McArdle (2005)
  • Structural Equation Modeling With EQS: Basic Concepts, Applications, and Programming, 2nd ed., by Barbara M. Byrne (2006)
  • A Paul Meehl Reader: Essays on the Practice of Scientific Psychology, coedited by Niels G. Waller, Leslie J. Yonce, William M. Grove, David Faust, and Mark F. Lenzenweger (2006)
  • Introduction to Statistical Mediation Analysis, written by David P. MacKinnon (2008)
  • Applied Data Analytic Techniques for Turning Points Research, edited by Patricia Cohen (2008)
  • Cognitive Assessment: An Introduction to the Rule Space Method, written by Kikumi K. Tatsuoka (2009)
  • Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, 2nd ed., written by Barbara M. Byrne (2010)
  • Handbook of Ethics in Quantitative Methodology, coedited by Abigail T. Panter and Sonya K. Sterba (2011)
  • Longitudinal Data Analysis: A Practical Guide for Researchers in Aging, Health, and Social Sciences, coedited by Jason T. Newsom, Richard N. Jones, and Scott M. Hofer (2011)
  • Structural Equation Modeling With Mplus: Basic Concepts, Applications, and Programming, written by Barbara M. Byrne (2012)

Anyone wishing to submit a book proposal should send the following: (a) the author and title; (b) a timeline, including the completion date; (c) a brief overview of the book's focus, including a table of contents and, ideally, a sample chapter (or chapters); (d) a brief description of competing publications; and (e) targeted audiences.

For more information, please contact the series editor, Lisa Harlow, at Department of Psychology, University of Rhode Island, 10 Chafee Road, Suite 8, Kingston, RI 02881-0808; phone (401) 874-4242; fax (401) 874-5562; or LHarlow@uri.edu. Information may also be obtained from members of the editorial and advisory board: Leona Aiken (Arizona State University), Daniel Bauer (University of North Carolina), Jeremy Biesanz (University of British Columbia), Gwyneth Boodoo (Educational Testing Services), Barbara M. Byrne (University of Ottawa), Scott Maxwell (University of Notre Dame), Liora Schmelkin (Hofstra University), and Stephen West (Arizona State University).

Structural Equation
Modeling with Mplus

Basic Concepts, Applications, and Programming

Barbara M. Byrne

University of Ottawa

Structural Equation Modeling with Mplus Basic Concepts Applications and Programming - image 2

RoutledgeRoutledge
Taylor & Francis GroupTaylor & Francis Group
711 Third Avenue27 Church Road
New York, NY 10017Hove, East Sussex BN3 2FA

2012 by Taylor & Francis Group,
LLC Routledge is an imprint of Taylor & Francis Group, an Informa business

Printed in the United States of America on acid-free paper
Version Date: 20110627

International Standard Book Number: 978-0-8058-5986-7 (Hardback) 978-1-84872-839-4 (Paperback)

For permission to photocopy or use material electronically from this work, please access www.copyright.com (http://www.copyright.com/) or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. CCC is a not-for-profit organization that provides licenses and registration for a variety of users. For organizations that have been granted a photocopy license by the CCC, a separate system of payment has been arranged.

Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe.

Library of Congress Cataloging-in-Publication Data

Byrne, Barbara M.
Structural equation modeling with Mplus : basic concepts,
applications, and programming / Barbara M. Byrne.

p. cm. -- (Multivariate applications series)

Summary: This text aims to provide readers with a nonmathematical introduction to the basic concepts associated with structural equation modeling, and to illustrate its basic applications using the Mplus program-- Provided by publisher.

ISBN-13: 978-0-8058-5986-7 (hardback)

ISBN-10: 0-8058-5986-1 (hardcover)

ISBN-13: 978-1-84872-839-4 (pbk.)

1. Structural equation modeling. 2. Multivariate analysis. 3. Mplus. 4. Social sciences--Statistical methods. I. Title.

QA278.B974 2011

519.53--dc23 2011018745

Visit the Taylor & Francis Web site at
http://www.taylorandfrancis.com

and the Psychology Press Web site at
http://www.psypress.com

Contents

Chapter 4 Testing the Factorial Validity of Scores From a Measuring Instrument: First-Order Confirmatory Factor Analysis Model

Chapter 9 Testing the Equivalence of a Causal Structure: Full Structural Equation Model

Preface

As with each of my previous introductory structural equation modeling (SEM) books, my overall goal here is to provide my readers with a nonmathematical introduction to the basic concepts associated with this methodology, and to illustrate its basic applications using the M

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