Introduction to Meta-Analysis and Structural Equation Modeling

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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