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Meta-Analytic Structural Equation Modelling [electronic resource] / by Suzanne Jak.

By: Contributor(s): Series: SpringerBriefs in Research Synthesis and Meta-AnalysisPublisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015Description: VIII, 88 p. 5 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319271743
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 519.5 23
LOC classification:
  • QA276-280
Online resources:
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.
In: Springer eBooksSummary: 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.
Item type: eBooks
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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.

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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