Gabriel Nagy

Prof. Dr. Gabriel Nagy is an Associate Professor of Quantitative Methods in Educational Research at Kiel University, with concurrent roles at the IPN - Leibniz Institute for Science and Mathematics Education. He serves as Deputy Head of the Department of Educational Measurement and Data Science since 2015, focusing on psychometrics, latent variable models, and educational transitions.

• Education: Diplom (2002) and Doctorate (2006) in Psychology from Free University Berlin, part of the International Max Planck Research School LIFE (2002–2005).

His research examines item position effects, test practice effects, and methodological innovations in educational assessment. He employs latent response models to detect careless responding in surveys and analyzes large-scale assessments to understand educational transitions.

Recent publications highlight his work on screen-time-based mixture models for survey data, vocational interest inconsistencies, and lifelong learning dynamics. His methodological expertise bridges psychology, data science, and educational research.

At IPN, he leads projects like MiO – Mathematik in der Oberstufe, advancing statistical approaches in educational contexts. His career spans roles at the Max Planck Institute for Human Development and multiple leadership positions at IPN.