I am an assistant professor at the Psychological Methods department. I received my PhD in 2019, for my dissertation on the interpretation of psychometric models.

My research interest lies at the intersection of psychological methods, statistics and philosophy. Some examples of questions that I have worked on: What are the implications of interpreting psychometric models as causal models or as summaries of the data? Are equivalent models the same model? What are possible chance experiments that result in the response variables in a factor model or IRT model being ‘random variables’? What is actually ‘observed’ in ‘observed variables’?

Research expertise

• Research methods
• Measurement
• Network models 
• Latent variable models
• Conceptual issues

Other links

• www.theorymethodslab.com 

Currently, I work on the question of how to do measurement in the network framework. In the network framework, psychological constructs are conceptualized as networks of interacting nodes or as dynamical systems. This is very different from how psychological constructs are conceptualized in existing measurement theories such as classical test theory and modern test theory. I am curious how this change in conceptualization of psychological constructs will change how we best measure these constructs. To take depression as an example of a psychological construct: if depression is conceptualized as a network, how can we best measure someone’s depression severity? 

BA

• ‘Research Methods and Statistics’ together with Johnny van Doorn
• ‘Fundamentals of Psychology’ together with Lisa Wijsen
• ‘Rethinking Methodology’ together with Lisa Wijsen

PhD Supervision

• Co-promotor of Jason Nak