Aaron Peikert

• B.Sc. Psychology, 2018, Humboldt-Universität zu Berlin
• M.Sc. Psychology, 2020, Humboldt-Universität zu Berlin
• Ph.D. cand. Psychology, 2023, Humboldt-Universität zu Berlin
  

Research interests

• statistical modeling
• reproducible research workflows
• machine learning for nested/hierarchical data

Selected publications

Peikert, A., & Brandmaier, A. M. (2021). A reproducible data analysis workflow with R markdown, Git, Make, and Docker. Quantitative and Computational Methods in Behavioral Sciences, 1, Article e3763. https://doi.org/10.5964/qcmb.3763

Peikert, A., van Lissa, C. J., & Brandmaier, A. M. (2021). Reproducible research in R: A tutorial on how to do the same thing more than once. Psych, 3(4), 836–867. https://doi.org/10.3390/psych3040053

van Lissa, C. J., Brandmaier, A. M., Brinkman, L., Lamprecht, A.-L., Peikert, A., Struiksma, M. E., & Vreede, B. M. I. (2021). WORCS: A workflow for open reproducible code in science. Data Science, 4, 29-49. https://doi.org/10.3233/DS-210031

Ziegler, M., & Peikert, A. (2018). How specific abilities might throw ‘g’ a curve: An idea on how to capitalize on the predictive validity of specific cognitive abilities. Journal of Intelligence, 6(3), 41. https://doi.org/10.3390/jintelligence6030041