معرفی
Dr. Dave Hessen is an Assistant Professor at the Department of Methodology and Statistics within the Faculty of Social Sciences at Utrecht University. His academic career spans over two decades, with expertise in Categorical Data Analysis, Multivariate Statistics, Psychometrics, and Structural Equation Modeling. He has contributed to Applied Data Science through methodological innovations and cross-disciplinary research.
- MA (1998, cum laude), PhD (2003), Post-Doctoral Training (2005) in Psychological Methods and Psychometrics at the University of Amsterdam
Hessen's research bridges statistical methodology with applications in child development, educational assessment, and social sciences. Notable projects include LITMUS language tests for multilingual children, Distractors in the classroom studying working memory in educational settings, and the Dutch norms for Bayley-III project adapting developmental assessment tools for Dutch populations. His methodological work focuses on log-linear models, multidimensional Rasch models, and factor score reliability.
Recent publications emphasize correspondence analysis for text mining, maximum entropy distributions, and random effects models in psychometrics. He has secured funding from Utrecht University (DoY Public Engagement Fund, DoY Invigoration Grant) and government grants for developmental assessment research. Collaborations include Prof. Elma Blom, Prof. Sarah Durston, and international institutions.
Contact: djhessen@uu.nl | d.j.hessen@uu.nl | Office: Sjoerd Groenman Building, Padualaan 14, Room C.113, Utrecht
