Multilevel Structural Equation Modeling: 179 (Quantitative Applications in the Social Sciences)

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 fur 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.

Title: Multilevel Structural Equation Modeling: 179 (Quantitative Applications in the Social Sciences)

Author: Silva, Bruno Castanho,Littvay, Levente,Bosancianu, Constantin Manuel

ISBN: 9781544323053

Binding:

Publisher: SAGE Publications Inc

Publication Date: 2019-07-11

Number of Pages: 144

Weight: 0.1791 kg

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. -- Ronny Scherer