Smith, P., Liu, Y., Townsend, J. T., van Zandt, T. (2020). Mathematical Psychology. Oxford Bibliographies. doi:10.1093/obo/9780199828340-0266.
Sonnentag, S., Wiegelmann, M., & Czink, M. (2021). Empirical approaches to address the dynamic aspects of work engagement: Study design and data analyses. In J P. Meyer & B. Schneider (Eds.) A research agenda for employee engagement in a changing world of work (pp. 209–224). Edward Elgar Publishing.
Bißantz, S. M., Frick, S., Melinscak, F., Iliescu, D., & Wetzel, E. (2024). The Potential of Machine Learning Methods in Psychological Assessment and Test Construction. European Journal of Psychological Assessment, Advance online publication. https://doi.org/https://doi.org/10.1027/1015-5759/a000817
Wetzel, E., Frick, S., & Greiff, S. (2020). The Multidimensional Forced-Choice Format as an Alternative for Rating Scales: Current State of the Research. European Journal of Psychological Assessment, 36(4), 511–515. https://doi.org/10.1027/1015-5759/a000609
Modeling Within-Person Associations in Longitudinal Data (workshop given by Lesa Hoffman)
https://www.youtube.com/playlist?list=PLqK8c2KO4db67teevDIaYUUYKF-JR0xNd
Hierarchical Bayesian Models with Computer Applications (workshop given by Jeffrey Rouder)