I am passionate about working on the cutting edge between statistics and social sciences. My ambition is to enable social science researchers to use the best methods to optimally analyze their data and answer their research questions. My main expertises are: Bayesian evidence synthesis, longitudinal structural equation modeling, and informative priors.
PhD in Methodology and Statistics, 2019
Research Master Methodology and Statistics of Behavioral and Social Sciences, 2014 (Cum Laude)
Research Master Development and Socialization in Childhood and Adolescence, 2014 (Cum Laude)
Bachelor Pedagogical Sciences, 2012
In this paper, we use Bayesian evidence synthesis to evaluate how self-control develops and whether there is a gender effect on its development. We find robust support for a positive development in self-control over adolescence.
In this article we apply Bayesian evidence synthesis to find robust evidence on the relation between parental age (both father and mother) and offspring mental health (both internalizing and externalizing).
In this paper we present and apply guidelines to construct informative priors in a multiple group latent growth model. The application was certainly not the ideal situation that methodologists and statisticians often deal with, which made this paper only more valuable for readers that also struggle with real-life data.