Multilevel structural equation modeling

Author(s)

• Silva, Bruno Castanho
• Bosancianu, Constantin Manuel
• Littvay, Levente

Bibliographic Information

Multilevel structural equation modeling

Bruno Castanho Silva, Constantin Manuel Bosancianu, Levente Littvay

（Sage publications series, . Quantitative applications in the social sciences ; v. 179）

Sage Publications, c2020

• : pbk

Note

Includes bibliographical references (p. 116-122) and index

Description and Table of Contents

Description

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.

Table of Contents

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

by "Nielsen BookData"

• NCID: BB28539414
• ISBN:
  • 9781544323053
• LCCN: 2018057333
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Thousand Oaks
• Pages/Volumes: xvi, 128 p.
• Size: 22 cm
• Classification:
  • LCC : QA278.3
  • DC23 : 519.5/3
• Subject Headings:
  • LCSH : Path analysis (Statistics)
  • LCSH : Structural equation modeling
  • LCSH : Multilevel models (Statistics)
  • LCSH : Regression analysis
• Parent Bibliography ID:
  • BA71788007