Issues in Meta-Analytic Structural Equation Modeling

Abstract

Meta-analysis is a prominent statistical tool in many research disci- plines. It is a statistical method to combine the effect sizes of separate independ- ent studies, in order to draw overall conclusions based on the pooled results. Structural equation modeling is a multivariate technique to fit path models, fac- tor 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. Keywords