Nagy, Gabriel

Gabriel Nagy

Prof. Dr., Dipl.-Psych.
Educational Measurement and Data Science


phone +49-(0)431-880-5875
address Olshausenstraße 62, D-24118 Kiel
room 35b


2006 Doctorate in Psychology, Free University Berlin
2002 - 2005 International Max Planck Research School "The Life Course: Evolutionary and Ontogenetic Dynamics" (LIFE)
2002 Diplom (Ger.) in Psychology, Free University Berlin

Professional Activity

2015 - present Deputy Head of Department Educational Measurement and Data Science, IPN - Leibniz Institute for Science and Mathematics Education
2011 -2014 Deputy Head of Department Educational Research and Educational Psychology, IPN - Leibniz Institute for Science and Mathematics Education
2011 - present Associate Professor of Quantitative Methods in Educational Research, Kiel University
2010 - 2011 Assistant Professor of Educational Science, Eberhard Karls University Tübingen
09/2005 - 03/2010 Research Scientist, Max Planck Institute for Human Development, Center for Educational Research

Research Interests

Item position effects and test practice effects in educational studies
Latent variable models for interst and ability profiles
National and international large-scale educational assessment
Transitions in the educational system

Current Projects

ManKobE - Mathematical and Science Competencies in Vocational Training
MILES - Methodological Issues in Longitudinal Educational Studies
EIKA - Development and implementation of a school-to-work transition concept for schools serving disadvantaged communities
CIDER - College for Interdisciplinary Educational Research

Selected Publications

Etzel, J., Lüdtke, O., Wagner, J., & Nagy, G. (2019). Similarity of vocational interest profiles within families: A person-centered approach for examining associations between circumplex profiles. Journal of Personality, 87(3), 593-606.
List, M. K., Köller, O., & Nagy, G. (2019). A semiparametric approach for modeling not-reached items. Educational and Psychological Measurement, 79(1), 170-199.
Nagy, G., Etzel, J., & Lüdtke, O. (2019). Integrating covariates into circumplex structures: An extension procedure for Browne’s circular stochastic process model. Multivariate Behavioral Research, 54(3), 404-428.
Nagy, G., Nagengast, B., Frey, A., Becker, M., & Rose, N. (2019). A multilevel study of position effects in PISA achievement tests: Student- and school-level predictors in the German tracked school system. Assessment in Education: Principles, Policy & Practice, 26(4), 422-443.
Nagy, G., Brunner, M., Lüdtke, O., & Greiff, S. (2017). Extension procedures for confirmatory factor analysis. The Journal of Experimental Education, 85, 574-596.

Publications in the research information system

all publications recorded in PURE

Download list of publications

PDF document icon Schriften_NAGY_2019.pdf — PDF document, 154 KB (157699 bytes)