Maximilian S. Ernst
Doktorand
Akademischer Werdegang
| seit 2023 | Doktorand, Max Planck School of Cognition, Leipzig Lab-Rotationen in der Orientierungsphase: Klaus-Robert Müller und Ulman Lindenberger |
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| seit 2019 | Bachelor of Science in Mathematics, Humboldt-Universität zu Berlin |
| 2019–2022 | Master of Science in Psychology, Humboldt-Universität zu Berlin |
| 2016–2020 | Bachelor of Science in Psychology, Humboldt-Universität zu Berlin |
Auszeichnung
| 2023 | Jürgen-Rost-Preis für Masterabeiten im Bereich Psychologische Methodenlehre, Deutsche Gesellschaft für Psychologie (DGPs) |
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Publikationen
Brandmaier, A. M., Ernst, M. S., & Peikert, A. (in press). Assessing rigor and impact of research software for hiring and promotion in psychology: A comment on Gärtner et al. (2022). Meta-Psychology.
Ernst, M. S., Peikert, A., Brandmaier, A. M., & Rosseel, Y. (2023). A note on the connection between trek rules and separable nonlinear least squares in linear structural equation models. Psychometrika, 88, 98–116. https://doi.org/10.1007/s11336-022-09891-5
Friemelt, B., Bloszies, C., Brandmaier, A. M., Ernst, M. S., Peikert, A., Brandmeier, A. M., & Koch, T. (2023). On the performance of different regularization methods in bifactor-(S-1) models with explanatory variables – Caveats, recommendations, and future directions. Structural Equation Modeling, 30(4), 560–573. https://doi.org/10.1080/10705511.2022.2140664
Vorträge
Ernst, M. S. (2023, Juli). Regularized SEM with StructuralEquationModels.jl. 10th European Congress of Methodology, Ghent University, Belgien.
Ernst, M. S. (2022, September). StructuralEquationModels.jl – A fast and flexible SEM framework. 52nd Congress of the German Psychological Society (DGPs), Hildesheimy.
Ernst, M. S. (2022, Mai). Writing extensible software for researchers. “Future Opportunities for Software in Research”, Max Planck Institute for Evolutionary Biology, Plön
Software
Ernst, M. S., & Peikert, A. (2022). StructuralEquationModels.jl. https://doi.org/10.5281/zenodo.6719626
Organisation von Workshops
Ernst, M. S. (2023, November). A fresh approach to scientific computing. Max Planck Institute for Human Development, Berlin.
Ernst, M. S. (2023, September). A fresh approach to scientific computing. Open Science Center – Ludwig-Maximilians-Universität München.
Ernst, M. S. (2023, Mai). A fresh approach to scientific computing. Max Planck UCL Centre for Computational Psychiatry and Ageing Research – University College London, UK.
Weiterführende Webseiten: Github, Orcid, and Max-Planck-Institut für Bildungsforschung, Berlin
Foto: Nikolaus Brade