Dr. David Goretzko

Universitair docent
Methoden en Statistiek
d.goretzko@uu.nl

After obtaining my PhD from LMU Munich and substituting two professorships (Computational Modeling in Psychology at LMU Munich & Psychological Methods at Leipzig University), I am now an Assistant Professor at the Department of Methodology and Statistics. My research primarily focuses on the integration of modern data science/machine learning methods and psychometrics. 

Selected Publications

Goretzko, D., & Bühner, M. (2020). One model to rule them all? Using machine learning algorithms to determine the number of factors in exploratory factor analysis. Psychological Methods, 25(6), 776–786. https://doi.org/10.1037/met0000262.

Sterner, P., & Goretzko, D. (2023) Exploratory Factor Analysis Trees: Evaluating Measurement Invariance Between Multiple Covariates, Structural Equation Modeling: A Multidisciplinary Journal, DOI: 10.1080/10705511.2023.2188573

Goretzko, D., & Ruscio, J. (2023). The Comparison Data Forest – A new comparison data approach to determine the number of factors in exploratory factor analysis. Behavior Research Methods. https://doi.org/10.3758/s13428-023-02122-4

Goretzko, D., Siemund, K., & Sterner, P. (2023). Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis. Educational and Psychological Measurement. https://doi.org/10.1177/00131644231163813

Sterner, P., Pargent, F., Deffner, D., & Goretzko, D. (2024). A Causal Framework for the Comparability of Latent Variables. Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1080/10705511.2024.2339396

All Publications