Newsom - Longitudinal structural equation modeling: a comprehensive introduction

First published 2015
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2015 Taylor & Francis

The right of Jason T. Newsom to be identified as the author of this work has been asserted by him in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988.

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Library of Congress Cataloging in Publication data
Newsom, Jason T.

Longitudinal structural equation modeling : a comprehensive introduction /

Jason T. Newsom.

pages cm. (Multivariate applications series)

1. Longitudinal methodMathematical models. 2. Social sciencesStatistical

methods. 3. Structural equation modeling. I. Title.

H61.25.N49 2015

519.53dc23

2014046412

ISBN: 978-1-84872-696-3 (hbk)
ISBN: 978-1-84872-697-0 (pbk)
ISBN: 978-1-315-87131-8 (ebk)

Typeset in Sabon
by Out of House Publishing

Multivariate Applications Series

Sponsored by the Society of Multivariate Experimental Psychology, the goal of this series is to apply statistical methods to significant social or behavioral issues, in such a way so as to be accessible to a nontechnical-oriented readership (e.g., non-methodological 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 (1) demonstrate the application of a variety of multivariate methods to a single, major area of research; (2) describe a multivariate procedure or framework that could be applied to a number of research areas; or (3) present a variety of perspectives on a topic of interest to applied multivariate researchers.

Anyone wishing to submit a book proposal should send the following: (1) author/title; (2) timeline including completion date; (3) brief overview of the books focus, including table of contents and, ideally, a sample chapter (or chapters); (4) a brief description of competing publications; and (5) 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 e-mail LHarlow@uri.edu.

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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, co-edited by Jennifer S. Rose, Laurie Chassin, Clark C. Presson, and Steven J. Sherman (2000)

Item Response Theory for Psychologists, co-authored 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, co-edited by D. S. Moskowitz and Scott L. Hershberger (2002)

Multilevel Modeling: Methodological Advances, Issues, and Applications, co-edited 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, co-edited by Albert Maydeu-Olivares and John J. McArdle (2005)

Structural Equation Modeling with EQS: Basic Concepts, Applications, and Programming, Second Edition, written by Barbara M. Byrne (2006)

A Paul Meehl Reader: Essays on the Practice of Scientific Psychology, co-edited 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, Second Edition, written by Barbara M. Byrne (2010)

Handbook of Ethics in Quantitative Methodology, co-edited by Abigail T. Panter and Sonya K. Sterba (2011)

Longitudinal Data Analysis: A Practical Guide for Researchers in Aging, Health, and Social Sciences, co-edited by Jason T. Newsom, Richard N. Jones, and Scott M. Hofer (2012)

Structural Equation Modeling with MPlus: Basic Concepts, Applications, and Programming written by Barbara M. Byrne (2012)

Understanding the New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis, written by Geoff Cumming (2012)