Publikationen von Maximilian S. Ernst

Peikert, A., Ernst, M. S., & Brandmaier, A. M. (in press). Why does preregistration increase the persuasiveness of evidence? A Bayesian rationalization. Meta-Psychology.

Brandmaier, A. M., Ernst, M., & 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, 30(4), 560–573. https://doi.org/10.1080/10705511.2022.2140664

Ernst, M. S., Stukalov, A., Brandmaier, A. M., & Peikert, A. (2025). StructuralEquationModels.jl: A Julia package for extensible and efficient structural equation modeling. PsyArXiv, April 18, 2025. https://doi.org/10.31234/osf.io/zwe8g_v1

Van Lissa, C. J., Peikert, A., Ernst, M. S., Van Dongen, N. N. N., Schönbrodt, F. D., & Brandmaier, A. M. (2025). To be FAIR: Theory specification needs an update. PsyArXiv, March 09, 2025. https://doi.org/10.31234/osf.io/t53np_v1

Ernst, M. S., & Peikert, A. (2022). StructuralEquationModels.jl [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.6719626