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Multilevel Structural Equation Modeling
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Multilevel Structural Equation Modeling

Volume: 179
March 2019 | 144 pages | SAGE Publications, Inc
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 Multilevel Structural Equation Modeling serves as a minimally technical overview of multilevel structural equation modeling (MSEM) for applied researchers and advanced graduate students in the social sciences. As the first book of its kind, this title is an accessible, hands-on introduction for beginners of the topic. The authors predict a growth in this area, fueled by both data availability and also the availability of new and improved software to run these models. The applied approach, combined with a graphical presentation style and minimal reliance on complex matrix algebra guarantee that this volume will be useful to social science graduate students wanting to utilize such models.
List of Figures

 
About the Authors

 
Series Editor's Introduction

 
Acknowledgements

 
 
Chapter 1: Introduction
About the Book and MSEM

 
Quick Review of Structural Equation Models

 
Quick Review of Multilevel Models

 
Introduction to MSEM and Its Notation

 
Estimation and Model Fit

 
Scope of the Book and Online Materials

 
 
Chapter 2: Multilevel Path Models
Multilevel Regression Example

 
Random Intercepts Model

 
Random Slopes Model

 
Comparison of Random Intercepts and Random Slopes Models

 
Mediation and Moderation

 
 
Chapter 3: Multilevel Factor Models
Multigroup CFA

 
Two-Level CFA

 
Random Latent Variable Intercepts

 
Random Loadings

 
 
Chapter 4: Multilevel Structural Equation Models
Bringing Factor and Path Models Together

 
Random Intercept of Observed Outcome

 
Multilevel Latent Covariate Model

 
Between-Level Latent Variables

 
Random Slopes MSEM

 
 
Chapter 5: Conclusion
 
References

Supplements

Student Study Site

A website for the book at http://levente.littvay.hu/msem/ includes replication codes for lavaan for R and Mplus, data for all the examples reported, and two LaTeX files to produce all equations and figures from the book.


“This book provides a terrific introduction to the key models and principles of multilevel SEM. The examples speak for themselves, and the authors manage well to help readers understand and evaluate the beauty of MSEM. Datasets are by and large available and ready for course use. This is a book that can easily adopted in an introductory MSEM course.”

Ronny Scherer
University of Oslo
Key features

KEY FEATURES:

  • Examples walk readers through the main modeling possibilities of MSEM, including software scripts in R (which is free) and Mplus.
  • Codes and data from the book examples are easy to replicate for use in readers’ own data and models.
  • Description of advanced topics gives a roadmap to more advanced applications which are not covered in the book.
  • New mathematical notation of models make concepts easier for students who don't have a background in matrix algebra.

 

Sample Materials & Chapters

2: Multilevel Path Models

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