Pub­lika­tion­en

Students’ performance and typical errors in filling empty probabilistic visualizations with probabilities or frequencies

M. Rößner, K. Binder, C. Geier, S. Krauss, Educational Studies in Mathematics (2025).


Covariational reasoning in Bayesian situations

T. Büchter, A. Eichler, K. Böcherer-Linder, M. Vogel, K. Binder, S. Krauss, N. Steib, Educational Studies in Mathematics 115 (2024) 481–505.


How to teach Bayesian reasoning: An empirical study comparing four different probability training courses

N. Steib, T. Büchter, A. Eichler, K. Binder, S. Krauss, K. Böcherer-Linder, M. Vogel, S. Hilbert, Learning and Instruction 95 (2024).



Improving Diagnostic Efficiency with Frequency Double-Trees and Frequency Nets in Bayesian Reasoning

A.K. Kunzelmann, K. Binder, M.R. Fischer, M. Reincke, L.T. Braun, R. Schmidmaier, MDM Policy & Practice 7 (2022).



Tversky and Kahneman’s Cognitive Illusions: Who Can Solve Them, and Why?

G. Bruckmaier, S. Krauss, K. Binder, S. Hilbert, M. Brunner, Frontiers in Psychology 12 (2021).


Natural frequency trees improve diagnostic efficiency in Bayesian reasoning

K. Binder, S. Krauss, R. Schmidmaier, L.T. Braun, Advances in Health Sciences Education 26 (2021) 847–863.


Natural frequency trees improve diagnostic efficiency in Bayesian reasoning

K. Binder, S. Krauss, R. Schmidmaier, L.T. Braun, Advances in Health Sciences Education 26 (2021) 847–863.


Competence as a continuum in the COACTIV study: the “cascade model”

S. Krauss, G. Bruckmaier, A. Lindl, S. Hilbert, K. Binder, N. Steib, W. Blum, ZDM 52 (2020) 311–327.


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