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Introduction to Meta-Analysis and Structural Equation Modeling

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Meta-Analytic Structural Equation Modelling

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

Abstract

Meta-analysis is a prominent statistical tool in many research disciplines. It is a statistical method to combine the effect sizes of separate independent studies, in order to draw overall conclusions based on the pooled results. Structural equation modeling is a multivariate technique to fit path models, factor models, and combinations of these to data. By combining meta-analysis and structural equation modeling, information from multiple studies can be used to test a single model that explains the relationships between a set of variables or to compare several models that are supported by different studies or theories. This chapter provides a short introduction to meta-analysis and structural equation modeling.

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Authors and Affiliations

  1. Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands

    Suzanne Jak

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  1. Suzanne Jak
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Correspondence to Suzanne Jak .

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Jak, S. (2015). Introduction to Meta-Analysis and Structural Equation Modeling. In: Meta-Analytic Structural Equation Modelling. SpringerBriefs in Research Synthesis and Meta-Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-27174-3_1

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