Systemischer Berater (DGSF)
Curriculum Vitae
| Seit 05/2021 | Wissenschaftlicher Mitarbeiter in der Abteilung für Analyse und Modellierung komplexer Daten, Psychologisches Institut, Johannes Gutenberg-Universität Mainz |
| Seit 05/2020 | Wissenschaftlicher Mitarbeiter in der Nachwuchsgruppe Neurokognitive Grundlagen der Intelligenz (Dr. Anna-Lena Schubert) am Psychologischen Institut der Ruprecht-Karls-Universität Heidelberg |
| 10/2014–07/2021 | Studium der Psychologie an der Ruprecht-Karls-Universität Heidelberg |
Forschungsinteressen
- Mathematische Modellierung kognitiver Prozesse
- Neurokognitive Psychometrie
- Bayesianische Statistik
- Zusammenhang von Intelligenz & Arbeitsgedächtnisprozessen
Awards & Honors
Graduate Travel Award (2025)
Psychonomic Society
A neurocognitive psychometric approach to model individual differences in working memory
Publikationen
Göttmann, J., Hülsemann, M. J., Schneider, D., & Schubert, A.-L. (in prep.). Toward integrative neurocognitive psychometrics: Validating the Memory Measurement Model (M³) through joint modeling of behavioral and neurocognitive indicators of working memory processes. Department of Psychology, Johannes Gutenberg-University Mainz.
Göttmann, J., Frischkorn, G. T., Oberauer, K., Schaefer, S. B., & Schubert, A. (2025). Modeling individual differences in working memory: Subject-level parameter recovery within the Memory Measurement Model framework (M³). PsyArXiv. https://doi.org/10.31234/osf.io/945d2
Schaefer, S., Radev, S., Göttmann, J., & Schubert, A.-L. (2025). Amortized Bayesian workflow for modeling congruency effects using the diffusion model for conflict tasks. PsyArXiv. https://doi.org/10.31234/osf.io/dypcw
Marquetand, C., Aboud, A., Hasfurther, M., Göttmann, J., Bahlmann, E., Busch-Tilge, C., Tilge, P., Ivannikova, M., Ensminger, S., Stierle, U., Reil, G.-H., & Reil, J.-C. (2023). New insights into the hemodynamics of pulmonary homograft patients under stress echocardiography: The contribution of pressure recovery. Echocardiography. DOI: https://doi.org/10.1111/echo.15675
Schubert, A.-L., Löffler, C., Sadus, K., Göttmann, J., Hein, J., Schröer, P., Teuber, A., & Hagemann, D. (2023). Working memory load affects intelligence test performance by reducing the strength of relational item bindings and impairing the filtering of irrelevant information. Cognition, 236, 105438.
DOI: https://doi.org/10.1016/j.cognition.2023.105438
Schubert, A.-L., Hagemann, D., & Göttmann, J. (2021). Do Individual Effects Reflect Quantitative or Qualitative Differences in Cognition?. Journal of Cognition, 4(1), 50. DOI: http://doi.org/10.5334/joc.171
Sadus, K., Göttmann, J., & Schubert, A.-L. (2022). Predictors of stockpiling behavior during the COVID-19 pandemic in Germany. Journal of Public Health. DOI: https://doi.org/10.1007/s10389-022-01727-x
Konferenzbeiträge
Göttmann, J., Schneider, D., & Schubert, A.-L. (2025, November). A neurocognitive psychometric approach to modeling individual differences in working memory [Conference Presentation]. Psychonomic Society 66th Annual Meeting, Denver, CO, United States.
Göttmann, J., & Schubert, A.-L. (2025, November). From activation to accumulation: A ballistic extension of the Memory Measurement Model to capture individual differences [Poster presentation]. Symposium for Individual Differences in Cognition (SIDIC), Psychonomic Society 66th Annual Meeting, Denver, CO, United States.
Göttmann, J., Schneider, D., & Schubert, A.-L. (2024, July). Neurocognitive psychometrics of interindividual differences in working memory [Conference presentation]. MathPsych/ICCM 2024. https://mathpsych.org/presentation/1557
Schaefer, S., Göttmann, J., & Schubert, A.-L. (2024, July). Simulation-based inference using deep neural networks: Using BayesFlow for amortized Bayesian estimation of the diffusion model for conflict tasks [Conference presentation]. MathPsych/ICCM 2024. https://mathpsych.org/presentation/1560
Göttmann, J., Schneider, D., & Schubert, A.-L. (2024). Simulate, develop, infer: Measuring individual differences in working memory processes [Symposium presentation]. Neurocognitive Mechanisms of Cognitive Flexibility and Attention Allocation, Psychologie & Gehirn 2024, Hamburg, Germany.
Göttmann, J., Frischkorn, G.T., Schubert, A.-L., Oberauer, K. (2021, November). Using Computational Modeling Parameters to Measure Working Memory Processes . Talk at the StanConnect 2021 - Cognitive Science and Neuroscience Session.
Göttmann, J., Frischkorn, G.T., Schubert, A.-L., Oberauer, K. (2021, September). Modeling Individual Differences in Working Memory: Evaluating the estimation precision of subject-level parameters of the Memory Measurement Model. Talk at the 15th Conference of the Section Methods & Evaluation of the German Psychological Society (FGME).
Göttmann, J., Frischkorn, G.T., Schubert, A.-L., Oberauer, K. (2021, July). Evaluating Parameter Recovery of Subject Level Parameters in the Memory Measurement Model Framework. Talk at the 54th Annual Meeting of the Society for Mathematical Psychology (Virtual MathPsych / ICCM).
Göttmann, J. & Frischkorn, G.T. (2018, April). The Inter-Relation of Processing and Storage in Working memory cannot be explained by Cognitive Load. Poster Session Perception and (Working) Memory at 61th Conference of Experimental Psychologists, London.
Göttmann, J., Kipnis, A., Frischkorn, G.T., Schubert, A.-L. (2017, March). Drifting through the Noise: A Diffusion Model Analysis of the Interplay between Processing and Storage in Working Memory. Poster Session Memory at 60th Conference of Experimental Psychologists, Marburg.
Lehre
- Seminar Einführung in die kognitive Modellierung (Master)
- Vorlesung Avancierte Testtheorie (Master)
- Übung Datenanalyse mit R (Master)