Ausgewählte Publikationen:
Etzel, J. M., Wille, B., De Fruyt, F., & Nagy, G. (2025). Linking personality traits to vocational interest profiles via the circumplex: Research synthesis and new applications. Journal of Vocational Behavior, 104191.
Nagy, G., & Etzel, J. M. (2025). Fachinteressen aus der Perspektive der beruflichen Interessentheorie: Anknüpfungspunkte zweier Forschungstraditionen. In Interesse revisited: Interessenforschung im Bereich Naturwissenschaften (S. 379-411). Wiesbaden: Springer Fachmedien Wiesbaden.
Ulitzsch, E., Nestler, S., Lüdtke, O., & Nagy, G. (2024). A screen-time-based mixture model for identifying and monitoring careless and insufficient effort responding in ecological momentary assessment data. Psychological Methods.
Etzel, J. M., Heinze, A., Neumann, K., Bernholt, S., Retelsdorf, J., Köller, O., & Nagy, G. (2025). What we learn in school, we learn for life: Learning opportunities as moderators of the relationship between prior knowledge and learning in post-school contexts. Contemporary Educational Psychology, 80, 102336.
Nagy, G., Ulitzsch, E., & Lindner, M. A. (2023). The role of rapid guessing and test‐taking persistence in modelling test‐taking engagement. Journal of Computer Assisted Learning, 39(3), 751-766.
Junkuhn, B., & Nagy, G. (2022). Die Bedeutung der Interessenkongruenz für die Schulzufriedenheit in der beruflichen Oberstufe. Zeitschrift für Erziehungswissenschaft, 25(3), 659-686.
Nagy, G., & Ulitzsch, E. (2022). A multilevel mixture IRT framework for modeling response times as predictors or indicators of response engagement in IRT models. Educational and Psychological Measurement, 82(5), 845-879.
Nagy, G., Etzel, J. M., & 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.
