Dr. Fokkema obtained her PhD degree at the VU University in Amsterdam at the department of clinical psychology. In her research, she aims to develop methods that make it easier to translate empirical research findings to clinical practice. Her main research interest is in tree-based methods: methods for data analysis that provide results in the form of a decision tree. These decision trees are easy to interpret and provide helpful tools for decision making in clinical practice – in contrast to many traditional statistical methods.
Dr. Fokkema’s research aims at improving and developing tree-based methods, to get decision trees that are as simple and accurate as possible, and methods that can be applied to a wide range of data-analytic problems.
Dr. Fokkema is an expert in psychometrics, machine learning techniques and latent variable modeling. She teaches courses on psychometrics to second year bachelor’s students, and courses on machine learning and latent variable modeling to master’s students.
A complete overview of my publications can be found on my personal website.