Hannelies de Jonge is an assistant professor in both the Methodology and Statistics unit and the Developmental and Education Psychology unit. Her research primarily focuses on methodological challenges faced by substantive researchers, with the aim of contributing to enabling them to answer important questions relevant to clinical practice.

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Hannelies de Jonge is an assistant professor in both the Methodology and Statistics unit and the Developmental and Education Psychology unit. Her research primarily focuses on methodological challenges faced by substantive researchers, with the aim of contributing to enabling them to answer important questions relevant to clinical practice.

Her doctoral dissertation addresses the question, raised by substantive researchers, whether and how group data (e.g., Randomized Controlled Trial data) can be included in meta-analytic structural equation modeling (MASEM). By means of Monte Carlo data simulations, she investigated the influence on several conversion methods (e.g., Cohen’s d to (point-)biserial correlation conversions) on MASEM parameters in different typical scenarios. Based on the results of her simulation studies, she recommends several conversion methods that are not included in existing tools. To bridge this gap and support researchers, she developed a free app (i.e., hdejonge.shinyapps.io/ESCACO). This app provides tools to convert statistics from primary studies into effect sizes suitable for inclusion in MASEM.