Katharina Naumann

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.

Publications

Abstract only

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]

Invited tutorials

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.

Paper published in refereed journals

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

Thesis

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.

Education

• Diploma in Psychology [Dipl.-Psych.], 2015, University of Tuebingen
• Erasmus Intensive Program: A Quantitative Approach to Psychological Processes, March 29 to April 9, 2014, University of Tartu, Estonia
• Erasmus Intensive Program: A Quantitative Approach to Psychological Processes, March 13-24, 2013, University of Oulu, Finland
• Semester abroad, 2011, University of Otago, Dunedin, New Zealand

Teaching

• Experimentalpsychologisches Praktikum 2 (fall 2019/20, 2020/21)
• Experimentalpsychologisches Praktikum 1 / Praktikum Datenerhebung und Auswertung (spring 2020, 2019, 2017, 2016, 2015)
• Praktikum Beobachtung (fall 2018/19, 2016/17)
• Tutorium Methoden der Empirischen Bildungsforschung und Pädagogischen Psychologie (fall 2014/15)
• Tutorium Methoden der Intervention und Evaluation (fall 2013/14)
• Tutorium Psychometrie (spring 2013)
• Tutorium Forschungsmethoden der Psychologie (fall 2012/13, fall 2013/14)

Software

• Experiment about iconic memory [zip] (files: python/psychopy code [py], R code for creating session files [R], powersimulation [R]).
• R Shiny app for visualizing, simulating and estimating the time-window of integration (TWIN, Colonius & Diederich, 2004) model. See older version on TquanT, and development version on GitHub.
• R Shiny app on identifiability of the basic local independence model (BLIM, Heller, 2017). See on TquanT.
• R package nlsem for fitting nonlinear structural equation mixture models. See on CRAN.