Multilevel Structural Equation Modeling

✍ Scribed by Bruno Castanho Silva; Constantin Manuel Bosancianu; Levente Littvay

• Publisher: SAGE Publications, Incorporated
• Year: 2019
• Tongue: English
• Leaves: 145
• Category: Library

✦ Synopsis

Multilevel Structural Equation Modeling by Bruno Castanho Silva, Constantin Manuel Bosancianu, and Levente Littvay 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.

✦ Table of Contents

Contents
Series Editor's Introduction
About the Authors
Acknowledgments
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
2. Multilevel Path Models
Multilevel Regression Example
Random Intercepts Model
Random Slopes Model
Comparison of Random Intercepts and Random Slopes Models
Mediation and Moderation
Summary
3.
Multilevel Factor Models
Confirmatory Factor Analysis in Multiple Groups
Two-Level CFA
Random Latent Variable Intercepts
Multilevel CFA With Random Loadings
Summary
4. Multilevel Structural Equation Models
Bringing Factor and Path Models Together
Random Intercept of Observed Outcome
Multilevel Latent Covariate Model
Structural Models With Between-Level Latent Variables
Random Slopes MSEM
Summary
5. Conclusion
References
Index