Multilevel Structural Equation Modeling

Multilevel Structural Equation Modeling
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Bruno Castanho Silva
Quantitative Applications in the Social Sciences
eBook Typ:
Adobe Digital Editions
eBook Format:
Adobe DRM [Hard-DRM]

This text uses an applied approach and graphical presentation style to offer a minimally technical overview of multilevel structural equation modelling, which combines two fields in applied statistics: multilevel modelling and structural equation modelling.

 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


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


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