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Using Mplus for Structural Equation Modeling
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Using Mplus for Structural Equation Modeling
A Researcher's Guide

Second Edition
Additional resources:


August 2014 | 248 pages | SAGE Publications, Inc

Ideal for researchers and graduate students in the social sciences who require knowledge of structural equation modeling techniques to answer substantive research questions, Using Mplus for Structural Equation Modeling provides a reader-friendly introduction to the major types of structural equation models implemented in the Mplus framework. This practical book, which updates author E. Kevin Kelloway’s 1998 book Using LISREL for Structural Equation Modeling, retains the successful five-step process employed in the earlier book, with a thorough update for use in the Mplus environment. Kelloway provides an overview of structural equation modeling techniques in Mplus, including the estimation of confirmatory factor analysis and observed variable path analysis. He also covers multilevel modeling for hypothesis testing in real life settings and offers an introduction to the extended capabilities of Mplus, such as exploratory structural equation modeling and estimation and testing of mediated relationships. A sample application with the source code, printout, and results is presented for each type of analysis.


 
Chapter 1: Introduction
Why Structural Equation Modeling?  
The Remainder of This Book  
 
Chapter 2: Structural Equation Models: Theory and Development
The Process of Structural Equation Modeling  
 
Chapter 3: Assessing Model Fit
Absolute Fit  
Comparative Fit  
Parsimonious Fit  
Toward a Strategy for Assessing Model Fit  
 
Chapter 4: Using MPlus
The Data File  
The Command File  
Putting It All Together: Some Basic Analyses  
 
Chapter 5: Confirmatory Factor Analysis
Model Specification  
Identification  
Estimation  
Assessment of Fit  
Model Modification  
Sample Results Section  
 
Chapter 6: Observed Variable Path Analysis
Model Specification  
Identification  
Estimation  
Mediation  
Using Equality Constraints  
Multisample Analysis  
 
Chapter 7: Latent Variable Path Analysis
Model Specification  
Sample Results  
 
Chapter 8: Longitudinal Analysis
Measurement Equivalence Across Time  
Latent Growth Curves  
Cross-Lagged Models  
 
Chapter 9: Multilevel Modeling
Multilevel Models in Mplus  
Conditional Models  
Random-Slope Models  
Multilevel Modeling and Mediation  

Supplements

Data Set Zip File
Data files that accompany the book are also available under the "Preview" tab above.

"An excellent book on the ins and outs of using Mplus, as well as the practice of structural equation modeling in applied research.”

Kevin J. Grimm, University of California, Davis

This textbook fits all my needs for teaching from basic to more advanced SEM techniques.
The text is easy to follow and the examples using real data are excellent. I strongly recommend this position!!

Dr Bruno Schivinski
Nottingham Business School, Nottingham Trent University
November 14, 2016

The Author did a great with this textbook. The examples are easy to follow and the language is clear. Strongly recommended to those looking for applied SEM in context.

Dr Bruno Schivinski
Nottingham Business School, Nottingham Trent University
November 11, 2016

Very useful book for students and practitioners who want to get an introduction into SEM with Mplus. It provides insight into some main analysis techniques and guides you step by step through necessary procedures when importing a dataset into Mplus.

Ms Yvon Van den Boer
Media, Communication & Organisation, Twente University
December 15, 2014

Chapters of the multivariate analysis course

Dr Zhidong Zhang
Colg of Education, Univ Of Texas-Brownsville/Tsc
December 10, 2014
Key features

NEW TO THIS EDITION:

 

  • New developments and current trends such as new methods for testing mediation and multilevel modeling are discussed.
  • Readers are introduced to new techniques such as exploratory structural equation modeling.
  • The book includes an updated discussion of SEM theory (for example, fit indices) to reflect current practice.
  • The book’s focus is now on Mplus rather than on LISREL.
  • The graphic capabilities of Mplus are covered.

KEY FEATURES:

 

  • This gentle introduction for readers new to Mplus software works through examples using real data and emphasizes interpretation.
  • The book illustrates the link between theory and practice and helps readers learn how to fit and evaluate SEMs.
  • This practical introduction eliminates the extraneous details provided in the Mplus user’s guide.
  • Detailed examples of both code and output clarify concepts and procedures.

Sample Materials & Chapters

Data Files


Preview this book

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