I am working in the research group Research Methods and Mathematical Psychology in the Department of Psychology, University of Tuebingen. My dissertation is about cross-modal matching in the light of Luce's psychophysical theory. My research interests are psychophysics, measurement theory, and Bayesian cognitive modeling.
Naumann, K. & Heller, J. (2024). Cross-Modal Matching and Internal References. Poster presented at the European Mathematical Psychology Group Meeting 2024 , September 04-06, Aberdeen, Scottland. [pdf]
Naumann, K. & Heller, J. (2024). Cross-Modal Matching and Internal References. Poster presented at the European Conference on Visual Perception, August 25-29, Aberdeen, Scottland. [pdf]
Naumann, K. & Heller, J. (2024). Cross-Modal Matching and Internal References. Talk given at the TeaP (Tagung experimentell arbeitender Psycholog:innen; Conference of Experimental Psychologists), March 18-20, Regensburg, Germany.
Naumann, K. & Heller, J. (2023). Cross-Modal Matching and Internal References. Poster presented at the MathPsych / ICCM / EMPG, July 18-21, Amsterdam, Netherlands. [pdf]
Naumann, K. & Heller, J. (2022). Cross-Modal Matching Experiment and Internal References. Poster presented at the Workshop: Promoting Transparency and Replicability in Research, September 19-22, Tübingen, Germany. [pdf]
Naumann, K. & Losert, M. (2019). Programming in R and Shiny. Workshop at the Erasmus+ Project: Tools for Teaching Quantitative Thinking, March 25 to 30, Balatonföldvär, Hungary. [tquant.eu]
Wickelmaier, F. & Naumann, K. (2017). Programming in R and Shiny. Workshop at the Erasmus+ Project: Tools for Teaching Quantitative Thinking, March 26 to April 2, Graz, Austria.
Umbach, N., Naumann, K., Brandt, H., & Kelava, A. (2017). Fitting Nonlinear Structural Equation Models in R with Package nlsem. Journal of Statistical Software, 77(7), 1-20. doi:10.18637/jss.v077.i07
Naumann, K. (2015). Implementation of the structural equation mixture model approach for nonnormally distributed latent predictor variables in R. Diploma thesis, University of Tuebingen, Germany.
nlsem
for fitting nonlinear structural
equation mixture models. See on
CRAN.