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Meta-Analytic Structural Equation Modelling / by Suzanne Jak.

Springer Nature - Springer Mathematics and Statistics eBooks 2015 English International Available online

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Format:
Book
Author/Creator:
Jak, Suzanne., Author.
Series:
SpringerBriefs in Research Synthesis and Meta-Analysis, 2193-0023
Language:
English
Subjects (All):
Statistics.
Sociology--Methodology.
Sociology.
Social sciences--Statistical methods.
Social sciences.
Statistical Theory and Methods.
Sociological Methods.
Statistics in Business, Management, Economics, Finance, Insurance.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Local Subjects:
Statistical Theory and Methods.
Sociological Methods.
Statistics in Business, Management, Economics, Finance, Insurance.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Physical Description:
1 online resource (92 p.)
Edition:
1st ed. 2015.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2015.
Language Note:
English
Summary:
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.
Contents:
Introduction
Methods of MASEM
Heterogeneity in MASEM
Issues in MASEM
Example: Fitting a path model with the two-stage approach
Example: Fitting a factor model with the two-stage approach
Conclusions.
Notes:
Description based upon print version of record.
Includes bibliographical references at the end of each chapters.
ISBN:
9783319271743
3319271741

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