Don van den Bergh

Don van den Bergh is an academic and research associate in the Department of Psychologische Methodenleer at the University of Amsterdam, where van den Bergh has been employed since 2016. Van den Bergh's research centers on Bayesian statistical methods and their application to psychological research, with particular expertise in network psychometrics, graphical models, and reliability estimation. Van den Bergh has contributed extensively to making Bayesian inference accessible through tutorials and user-friendly software implementations, including work with the JASP statistical platform and the development of R packages for Bayesian network analysis. Van den Bergh's publications address methodological topics ranging from multiple comparison adjustment and model averaging to the evaluation of uncertainty in multi-step inference and applications in forensic psychiatry.