Her doctoral dissertation addresses the question, raised by substantive researchers, of whether and how two-group data (e.g., Randomized Controlled Trial data) can be included in meta-analytic structural equation modeling (MASEM). It aims to provide researchers with advice, guidance, and support on this issue. 

By means of Monte Carlo data simulations in R, she investigated the influence of various standardized mean difference (i.e., Cohen’s d and Hedges' g) to (point-)biserial correlation conversions on the estimation of MASEM parameters in different scenarios. Based on the results of the simulation studies, she recommends various conversion formulas, some of which are not incorporated in the statistical software and online tools she considered. She developed a freely available web application to bridge this gap and support researchers. This application provides tools for researchers with dichotomous or dichotomized variables in their hypothesized models to convert statistics from their primary studies into effect sizes suitable for inclusion in MASEM.