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Using Mplus for Structural Equation Modeling

Using Mplus for Structural Equation Modeling
A Researcher's Guide

Second Edition

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



Assessment of Fit

Model Modification

Sample Results Section

Chapter 6: Observed Variable Path Analysis
Model Specification




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



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
March 28, 2017

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 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.



  • 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

Sage College Publishing

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