Naomi completed the bachelor Interdisciplinary Social Sciences cum laude at Utrecht University in the direction of Work, Care and Welfare and did a minor in Work- and Organisational Psychology. During her bachelor she developed a particular interest in Methodology and Statistics, and hence she wrote her bachelor thesis at the respective department about the reporting quality of systematic reviews and meta-analyses in Work- and Organizational psychology, which is recently published. In 2016, she started with the research master Methodology and Statistics for the Behavioural, Biomedical and Social Sciences, for which she is currently writing her master thesis. She wishes to specialize in the direction of Bayesian Statistics and Multilevel- and Structural Equation Modelling and contemplates doing a PhD.
Currently, Naomi is working on her research master thesis with Rens, Duco Veen and Diederick Stoel (ProfitWise International) as her supervisors. The project focuses on using expert knowledge in Bayesian analyses, by letting experts make predictions in a probabilistic form of a prior distribution. With the Data Agreement Criterion (DAC), the experts’ priors can be evaluated in the light of new data, and by reflecting on these results with the experts, a validated learning process could take place. The question remains how this validated learning process works in a longitudinal way, and how the DAC scores could be used over time for this purpose.