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Multilevel structural equation modeling / Bruno Castanho Silva, University of Cologne, Constantin Manuel Bosancianu, WZB Berlin Social Science Center, Levente Littvay, Central European University.
LIBRA QA278.3 .S55 2020
Available from offsite location
- Format:
- Book
- Author/Creator:
- Silva, Bruno Castanho, author.
- Bosancianu, Constantin Manuel, author.
- Littvay, Levente, author.
- Series:
- Quantitative applications in the social sciences ; no. 07-179.
- Quantitative applications in the social sciences ; 179
- Language:
- English
- Subjects (All):
- Path analysis (Statistics).
- Structural equation modeling.
- Multilevel models (Statistics).
- Regression analysis.
- Physical Description:
- xvi, 128 pages ; 22 cm.
- Place of Publication:
- Thousand Oaks, California : Sage Publications, Inc., [2020]
- Summary:
- 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.
- Contents:
- About the Book and MSEM p. 1
- Quick Review of Structural Equation Models p. 2
- Quick Review of Multilevel Models p. 15
- Introduction to MSEM and Its Notation p. 20
- Estimation and Model Fit p. 29
- Scope of the Book and Online Materials p. 30
- 2 Multilevel Path Models p. 31
- Multilevel Regression Example p. 34
- Random Intercepts Model p. 36
- Random Slopes Model p. 41
- Comparison of Random Intercepts and Random Slopes Models p. 45
- Mediation and Moderation p. 45
- 3 Multilevel Factor Models p. 54
- Confirmatory Factor Analysis in Multiple Groups p. 57
- Two-Level CFA p. 58
- Random Latent Variable Intercepts p. 66
- Multilevel CFA With Random Loadings p. 69
- 4 Multilevel Structural Equation Models p. 78
- Bringing Factor and Path Models Together p. 78
- Random Intercept of Observed Outcome p. 80
- Multilevel Latent Covariate Model p. 85
- Structural Models With Between-Level Latent Variables p. 88
- Random Slopes MSEM p. 98.
- Notes:
- Includes bibliographical references and index.
- ISBN:
- 9781544323053
- 1544323050
- OCLC:
- 1060582053
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