Maximilian Ernst
Curriculum Vitae
- BSc. in Psychology, 2020, Humboldt-Universität zu Berlin
- MSc. in Psychology, 2022, Humboldt-Universität zu Berlin
- Doctoral candidate, Max Planck School of Cognition, since 2023
Research interests
- Explainable AI
- Structural equation modeling & voxel-wise neuroimaging analysis
- Julia programming language
- Philosophy of science
Selected publications
Brandmaier, A. M., Ernst, M. S., & Peikert, A. (2024). Assessing rigor and impact of research software for hiring and promotion in psychology: A comment on Gärtner et al. (2022). Meta-Psychology, 8, Article MP.2023.3715. https://doi.org/10.15626/MP.2023.3715
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(1), 98–116. https://doi.org/10.1007/s11336-022-09891-5
Friemelt, B., Bloszies, C., Ernst, M. S., Peikert, A., Brandmaier, 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: A Multidisciplinary Journal, 30(4), 560–573. https://doi.org/10.1080/10705511.2022.2140664