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.

Education

  • 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)
  • Introduction to R Shiny at Erasmus+ Project: Tools for Teaching Quantitative Thinking (March, 2019; and March, 2017)
  • 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 P├Ądagogischen 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.

Publication

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

Contact
Email
katharina.naumann[at]uni-tuebingen.de
Phone
+49 (0)7071 29-78340
Office
Room 4.536
Schleichstr. 4, 72076 T├╝bingen
Consultation
by appointment