Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Research Synthesis and Meta-Analysis (BRIEFSSYNTHES)
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About this book
This book explains how to employ MASEM, the combination of meta-analysis (MA) and structural equation modelling (SEM). It shows how by using MASEM, a single model can be tested to explain the relationships between a set of variables in several studies.
This book gives an introduction to MASEM, with a focus on the state of the art approach: the two stage approach of Cheung and Cheung & Chan. Both, the fixed and the random approach to MASEM are illustrated with two applications to real data. All steps that have to be taken to perform the analyses are discussed extensively. All data and syntax files are available online, so that readers can imitate all analyses.
By using SEM for meta-analysis, this book shows how to benefit from all available information from all available studies, even if few or none of the studies report about all relationships that feature in the full model of interest.
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Keywords
Table of contents (6 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the author
Dr. Suzanne Jak is a researcher in the Faculty of Social and Behavioural Sciences at the University of Utrecht, Netherlands. She also works as a lecturer in Methods and Statistics at the department of Education of the University of Amsterdam.
Bibliographic Information
Book Title: Meta-Analytic Structural Equation Modelling
Authors: Suzanne Jak
Series Title: SpringerBriefs in Research Synthesis and Meta-Analysis
DOI: https://doi.org/10.1007/978-3-319-27174-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2015
Softcover ISBN: 978-3-319-27172-9Published: 07 December 2015
eBook ISBN: 978-3-319-27174-3Published: 28 November 2015
Series ISSN: 2193-0015
Series E-ISSN: 2193-0023
Edition Number: 1
Number of Pages: VIII, 88
Number of Illustrations: 5 illustrations in colour
Topics: Statistical Theory and Methods, Methodology of the Social Sciences, Statistics for Business, Management, Economics, Finance, Insurance, Statistics for Social Sciences, Humanities, Law