Multilevel Structural Equation Modeling
SAGE Publications Inc (Verlag)
9781544323053 (ISBN)
Bruno Castanho Silva is a post-doctoral researcher at the Cologne Center for Comparative Politics (CCCP), University of Cologne. Bruno received his PhD from the Department of Political Science at Central European University and teaches introductory and advanced quantitative methods courses, including Multilevel Structural Equation Modeling and Machine Learning at the European Consortium for Political Research Methods Schools. His methodological interests are on applications of structural equation models for scale development and causal analysis, and statistical methods of causal inference with observational and experimental data. Constantin Manuel Bosancianu is a post-doctoral researcher at the Wissenschaftszentrum Berlin für Sozialforschung (WZB), in the Institutions and Political Inequality research unit. He received his PhD from the Department of Political Science at Central European University in Budapest, Hungary and has been an instructor for multiple statistics courses and workshops at the European Consortium for Political Research Methods Schools, at the Universities of Heidelberg, Gießen and Zagreb, as well as at the Institute of Sociology of the Czech Academy of Sciences. Manuel’s methodological focus is on practical applications of multilevel models, Bayesian analysis, and the analysis of time-series cross-sectional data sets. Levente Littvay is associate professor at Central European University’s Department of Political Science. Recipient of the institution’s Distinguished Teaching Award for graduate courses in research methods and applied statistics with a topical emphasis on political psychology, experiments and American politics. He received an MA and a PhD in Political Science and an MS in Survey Research and Methodology from the University of Nebraska-Lincoln, taught numerous methods workshops and is an academic co-convenor of the European Consortium for Political Research Methods Schools. His research interests include populism, political socialization and biological explanations of social and political attitudes and behaviors. He often works as a methodologist with medical researchers and policy analysts, co-runs the Hungarian Twin Registry, is an associate editor for social sciences of Twin Research and Human Genetics and publishes in both social science and medical journals.
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
| Erscheinungsdatum | 05.04.2019 |
|---|---|
| Reihe/Serie | Quantitative Applications in the Social Sciences |
| Verlagsort | Thousand Oaks |
| Sprache | englisch |
| Maße | 139 x 215 mm |
| Gewicht | 200 g |
| Themenwelt | Mathematik / Informatik ► Mathematik |
| Sozialwissenschaften ► Politik / Verwaltung ► Politische Theorie | |
| Sozialwissenschaften ► Soziologie ► Allgemeines / Lexika | |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| ISBN-13 | 9781544323053 / 9781544323053 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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