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).

Herausforderungen beim Einsatz interaktiver Theorembeweiser in der Hochschullehre
I. Garnelo Abellanas, M. Liebendörfer, in: 2024.

New Quick And Easy Publication - Will be edited by LibreCat team
R. Müller, in: Digital STACK Tasks and Exam Results, 2024.

Bayesian versus diagnostic information in physician-patient communication: Effects of direction of statistical information and presentation of visualization
S.F. Brose, K. Binder, M.R. Fischer, M. Reincke, L.T. Braun, R. Schmidmaier, PLOS ONE 18 (2023).

Introducing mathematics undergraduate students to the theorem prover lean
I. Garnelo Abellanas, M. Liebendörfer, in: 2023.

On the asymptotics of wildly ramified local function field extensions
R. Müller, On the Asymptotics of Wildly Ramified Local Function Field Extensions, 2023.

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 &;amp; Practice 7 (2022).

Von Baumdiagrammen über Doppelbäume zu Häufigkeitsnetzen – kognitive Überlastung oder didaktische Unterstützung? Moving from tree diagrams to double trees to net diagrams—cognitively overwhelming or educationally supportive?
K. Binder, N. Steib, S. Krauss, Journal für Mathematik-Didaktik 44 (2022) 471–503.

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

Natürliche Häufigkeiten als numerische Darstellungsart von Anteilen und Unsicherheit – Forschungsdesiderate und einige Antworten Natural Frequencies as Numerical Representation of Proportions and Uncertainty—Research Desiderata and Some Answers
S. Krauss, P. Weber, K. Binder, G. Bruckmaier, Journal für Mathematik-Didaktik 41 (2020) 485–521.

A New Visualization for Probabilistic Situations Containing Two Binary Events: The Frequency Net
K. Binder, S. Krauss, P. Wiesner, Frontiers in Psychology 11 (2020).

The conductor density of local function fields with abelian Galois group
R. Müller, J. Klüners, Journal of Number Theory 212 (2020).

An Eye-Tracking Study of Statistical Reasoning With Tree Diagrams and 2 × 2 Tables
G. Bruckmaier, K. Binder, S. Krauss, H.-M. Kufner, Frontiers in Psychology 10 (2019).

Why Can Only 24% Solve Bayesian Reasoning Problems in Natural Frequencies: Frequency Phobia in Spite of Probability Blindness
P. Weber, K. Binder, S. Krauss, Frontiers in Psychology 9 (2018).

Visualizing the Bayesian 2-test case: The effect of tree diagrams on medical decision making
K. Binder, S. Krauss, G. Bruckmaier, J. Marienhagen, PLOS ONE 13 (2018).