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 multisensory integration, measurement theory, knowledge space theory, and cognitive modeling.
Naumann, K. (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.
nlsemfor fitting nonlinear structural equation mixture models. See on CRAN.