Cover image for Structural equation modeling with Mplus : basic concepts, applications, and programming
Title:
Structural equation modeling with Mplus : basic concepts, applications, and programming
Personal Author:
Series:
Multivariate applications series
Publication Information:
New York : Routledge Academic, 2011
Physical Description:
xvii, 412 p. : ill. ; 24 cm.
ISBN:
9780805859867

9781848728394
Abstract:
"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.
Title Subject:

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30000010274490 QA278 B974 2011 Open Access Book Book
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Summary

Summary

Modeled after Barbara Byrne's 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.


Author Notes

Barbara M. Byrne is Professor Emeritus in the School of Psychology, University of Ottawa, Canada. An internationally recognized expert in the area of SEM, Dr. Byrne's research focuses on construct validity issues as they relate to theoretical constructs and measuring instruments. She is the author of 7 popular introductory books on SEM and has conducted over 100 SEM workshops at conferences, universities, and test publishers around the globe. In addition to the publication of over 95 book chapters and scholarly journal articles, most of which have addressed SEM application issues, she is the author of an important reference book, Measuring Self-concept Across the Lifespan: Issues and Instrumentation. Dr. Byrne is the recipient of three Distinguished Teaching Awards presented by the Canadian Psychological Association, the American Psychological Association (APA), and the APA, Division 5 (Jacob Cohen Award). She is a Fellow in two APA Divisions, is a Foundation member on the International Board of the SELF Research Centre, University of Western Sydney, Australia, and is an elected member of the Society of Multivariate Experimental Psychology.


Table of Contents

Part 1 Introduction
1 Structural Equation Models: The Basics
2 Using the Mplus Program
Part 2 Single-Group Analyses.Confirmatory Factor Analytic Models
3 Testing the Factorial Validity of a Theoretical Construct (1st-order CFA Model)
4 Testing the Factorial Validity of Scores from a Measuring Instrument (1st-order CFA Model)
5 Testing the Validity of Scores from a Measuring Instrument (2nd-order CFA Model). The Full Latent Variable Model
6 Testing the Validity of a Causal Structure
Part 3 Multiple-Group Analyses. Confirmatory Factor Analytic Models
7 Testing for the Factorial Equivalence of a Measuring Instrument (Analysis of Covariance Structures)
8 Testing for the Equivalence of Latent Factor Means (Analysis of Mean and Covariance Structures). The Full Latent Variable Model
9 Testing for the Equivalence of a Causal Structure (Analysis of Covariance Structures)
Part 4 Other Important Topics
10 Testing Evidence of Construct Validity: The Multitrait-multimethod Model
11 Testing Change Over Time: The Latent Growth Curve Model
12 Testing Within- and Between-level Variability: The Multilevel Model