Multilevel Structural Equation Modeling, 9781544323053
Paperback
This text uses an applied approach and graphical presentation style to offer a minimally technical overview of multilevel structural equation modelling, which combines two fields in applied statistics: multilevel modelling and structural equation modelling.

$120.99

  • Paperback

    144 pages

  • Release Date

    10 July 2019

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Summary

Book Details

ISBN-13:9781544323053
ISBN-10:1544323050
Author:Levente Littvay, Bruno Castanho Silva, Constantin Manuel Bosancianu
Publisher:SAGE Publications Inc
Imprint:SAGE Publications Inc
Format:Paperback
Number of Pages:144
Release Date:10 July 2019
Weight:200g
Dimensions:215mm x 139mm
Series:Quantitative Applications in the Social Sciences
What They're Saying

Critics Review

“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

About The Author

Levente Littvay

Bruno Castanho Silva is a post-doctoral researcher at the Cologne Centerfor Comparative Politics (CCCP), University of Cologne. Bruno receivedhis PhD from the Department of Political Science at Central European Universityand teaches introductory and advanced quantitative methods courses,including Multilevel Structural Equation Modeling and Machine Learningat the European Consortium for Political Research Methods Schools. Hismethodological interests are on applications of structural equation modelsfor scale development and causal analysis, and statistical methods of causalinference with observational and experimental data. Constantin Manuel Bosancianu is a post-doctoral researcher at the WissenschaftszentrumBerlin für Sozialforschung (WZB), in the Institutions andPolitical Inequality research unit. He received his PhD from the Departmentof Political Science at Central European University in Budapest, Hungaryand has been an instructor for multiple statistics courses and workshops atthe European Consortium for Political Research Methods Schools, at theUniversities of Heidelberg, Gießen and Zagreb, as well as at the Instituteof Sociology of the Czech Academy of Sciences. Manuel’s methodologicalfocus 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’sDepartment of Political Science. Recipient of the institution’s DistinguishedTeaching Award for graduate courses in research methods and applied statisticswith a topical emphasis on political psychology, experiments and Americanpolitics. He received an MA and a PhD in Political Science and an MS inSurvey Research and Methodology from the University of Nebraska-Lincoln,taught numerous methods workshops and is an academic co-convenor of theEuropean Consortium for Political Research Methods Schools. His researchinterests include populism, political socialization and biological explanationsof social and political attitudes and behaviors. He often works as a methodologistwith medical researchers and policy analysts, co-runs the HungarianTwin Registry, is an associate editor for social sciences of Twin Research andHuman Genetics and publishes in both social science and medical journals.

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