Skip to main content
SpringerLink
Log in
Book cover

Meta-Analytic Structural Equation Modelling

  • Book
  • © 2015

Overview

Authors:
  1. Suzanne Jak

    1. Fac. of Social and Behavioural Scie, Utrecht University, Utrecht, The Netherlands

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: SpringerBriefs in Research Synthesis and Meta-Analysis (BRIEFSSYNTHES)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (6 chapters)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. Introduction to Meta-Analysis and Structural Equation Modeling

    • Suzanne Jak
    Pages 1-14

  3. Methods for Meta-Analytic Structural Equation Modeling

    • Suzanne Jak
    Pages 15-23

  4. Heterogeneity

    • Suzanne Jak
    Pages 25-31

  5. Issues in Meta-Analytic Structural Equation Modeling

    • Suzanne Jak
    Pages 33-38

  6. Fitting a Path Model with the Two-Stage Approach

    • Suzanne Jak
    Pages 39-56

  7. Fitting a Factor Model with the Two-Stage Approach

    • Suzanne Jak
    Pages 57-69

  8. Back Matter

    Pages 71-88
    Download chapter PDF
Back to top

Keywords

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.

Authors and Affiliations

  • Fac. of Social and Behavioural Scie, Utrecht University, Utrecht, The Netherlands

    Suzanne Jak

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

Publish with us

Policies and ethics

Back to top

Search

Navigation