Methodenzentrum

Roberto Faleh

Research Scientist at the Methods Center

Office
Methods Center
Haußerstr. 11
72076 Tübingen

+49 7071 29 74929
Fax: +49 7071 29 35264

roberto.faleh@uni-tuebingen.de

Key Research Topics

  • Causal inference, causal mediation analysis, causal machine learning
  • Deep Learning
  • Benchmarking IRT and LLMs

Profile

since 2022
Research Scientist

Methods Center, University of Tübingen

2022
M.Sc. in Quantitative Data Science Methods

University of Tübingen

2021 - 2022
Research Assistant

Methods Center, University of Tübingen

2016 – 2020
Working managerial and consulting roles
09/2016
B.Sc. in Economics

Bocconi Universität, Milan (Italiy)

Publications

  • Stefano Noventa,Roberto Faleh, Augustin Kelava (under revision). On closed-form maximum likelihood estimators for guessing and slipping parameters in IRT models. British Journal.
  • Morelli, S., Faleh, R., & Brandt, H. (2025). RAPSEM: Identifying Latent Mediators Without Sequential Ignorability via a Rank-Preserving Structural Equation Model. ArXiv preprint. https://doi.org/10.48550/arXiv.2509.23935 (manuscript in revision) Github Repository
  • Faleh, R., Morelli, S., Andriamiarana, V., Roman, Z. J., Flückiger, C., & Brandt, H. (2025). Dynamic Latent Class Structural Equation Modeling: A Hands-On Tutorial for Modeling Intensive Longitudinal Data. ArXiv preprint. https://doi.org/10.48550/arXiv.2508.12983 (accepted for publication in Psychological Methods) Github Repository
  • Noventa, S., Faleh, R., & Kelava, A. (2025). On an EM-based closed-form solution for 2 parameter IRT models. ArXiv preprint. https://doi.org/10.48550/arXiv.2411.18351 (manuscript in revision)