Share
Multilevel Structural Equation Modeling
- Bruno Castanho Silva - University of Cologne, Germany
- Constantin Manuel Bosancianu - Wissenschaftszentrum Berlin fuer Sozialforschung, Germany
- Levente Littvay - Central European University, Hungary
Volume:
179
Courses:
Quantitative Research Methods in Education | Research Methods in Political Science | Research Methods in Sociology | Research Methods in Sociology | Statistics - General Interest | Statistics in Political Science | Statistics in Political Science | Statistics in Psychology | Statistics in Sociology | Structural Equation Modeling, Hierarchical Linear Modeling, & Multilevel Modeling |
Quantitative Research Methods in Education | Research Methods in Political Science | Research Methods in Sociology | Research Methods in Sociology | Statistics - General Interest | Statistics in Political Science | Statistics in Political Science | Statistics in Psychology | Statistics in Sociology | Structural Equation Modeling, Hierarchical Linear Modeling, & Multilevel Modeling |
March 2019 | 144 pages | SAGE Publications, Inc
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.
Chapter 1: Introduction
Chapter 2: Multilevel Path Models
Chapter 3: Multilevel Factor Models
Chapter 4: Multilevel Structural Equation Models
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.”
University of Oslo
