For best experience please turn on javascript and use a modern browser!
You are using a browser that is no longer supported by Microsoft. Please upgrade your browser. The site may not present itself correctly if you continue browsing.

Meta-analytic structural equation modeling with group data

Meta-analytic structural equation modeling (MASEM) is a method to systematically synthesize results from primary studies. The technique is increasingly popular in various research fields as it allows researchers to evaluate SEM models (e.g., path models and factor models) on meta-analytic correlations. 

With current MASEM methods, it is not evident how one can include group data, such as dichotomous variables indicating whether participants are in the experimental or control group, or dichotomized variables representing whether a person scored above or below some cut-off score on a continuous variable. In this PhD project, we develop and evaluate MASEM-methods that enable researchers to answer research questions involving group data. Specifically, we will focus on MASEM with biserial correlation coefficients, MASEM with Cohen’s d-to-r transformed point-biserial correlation coefficients, and on MASEM models for (latent) means.

This project is funded with the NWO Veni Fund awarded to Dr Suzanne Jak.

H. (Hannelies) de Jonge

PhD candidate

Dr. S. (Suzanne) Jak

Supervisor

Dr. K.J. (Kees Jan) Kan

Supervisor

Prof. dr. F.J. (Frans) Oort

Supervisor