Dynamic Modeling Lab

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The Dynamic Modeling Lab (DML) develops and evaluates statistical tools that allow social science  researchers to investigate processes as they unfold over time. DML is led by Ellen Hamaker.

DML is part of the Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, at Utrecht University, the Netherlands.

News

18-06-2025 Pre-print out: A practical guide to estimating reliability of intensive longitudinal data. by IJsbrand Leertouwer, Loes Keijsers, Eeske van Roekel and Noémi Schuurman.
23-05-2025 Pre-print out: The Dynamic Measurement-Burst Model: A method for assessing psychological process features at multiple timescales. by Pia Andresen, Noémi Schuurman and Ellen Hamaker.
22-05-2025 Paper out: …How to deal with the night gap problem in ESM data by Sophie Berkhout, Noémi Schuurman and Ellen Hamaker.
29-01-2025 Pre-print out: Hunting high and low: On the estimation and appropriateness
of cosine models for experience sampling.
by Manuel Haqiqatkhah and Ellen Hamaker.

Agenda

19-09-2025 Sophie Berkhout defends her dissertation at Utrecht University
October 2025 Join our e-learning course “Modeling the dynamics of intensive longitudinal data”
Get to know our lab members.
Software, tutorials, and exercises provided by our lab.
Online and in-person training offered by our lab.
Journal articles and pre-prints from our lab.