18 Publications

Mark all

[18]
2025 | Journal Article | LibreCat-ID: 59438
M. Rößner, K. Binder, C. Geier, and S. Krauss, “Students’ performance and typical errors in filling empty probabilistic visualizations with probabilities or frequencies,” Educational Studies in Mathematics, 2025, doi: 10.1007/s10649-024-10372-y.
LibreCat | DOI
 
[17]
2024 | Journal Article | LibreCat-ID: 59435
T. Büchter et al., “Covariational reasoning in Bayesian situations,” Educational Studies in Mathematics, vol. 115, no. 3, pp. 481–505, 2024, doi: 10.1007/s10649-023-10274-5.
LibreCat | DOI
 
[16]
2024 | Journal Article | LibreCat-ID: 59437
N. Steib et al., “How to teach Bayesian reasoning: An empirical study comparing four different probability training courses,” Learning and Instruction, vol. 95, Art. no. 102032, 2024, doi: 10.1016/j.learninstruc.2024.102032.
LibreCat | DOI
 
[15]
2023 | Journal Article | LibreCat-ID: 59436
S. F. Brose, K. Binder, M. R. Fischer, M. Reincke, L. T. Braun, and R. Schmidmaier, “Bayesian versus diagnostic information in physician-patient communication: Effects of direction of statistical information and presentation of visualization,” PLOS ONE, vol. 18, no. 6, Art. no. e0283947, 2023, doi: 10.1371/journal.pone.0283947.
LibreCat | DOI
 
[14]
2022 | Journal Article | LibreCat-ID: 59432
K. Binder, N. Steib, and S. Krauss, “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?,” Journal für Mathematik-Didaktik, vol. 44, no. 2, pp. 471–503, 2022, doi: 10.1007/s13138-022-00215-9.
LibreCat | DOI
 
[13]
2022 | Journal Article | LibreCat-ID: 59434
A. K. Kunzelmann, K. Binder, M. R. Fischer, M. Reincke, L. T. Braun, and R. Schmidmaier, “Improving Diagnostic Efficiency with Frequency Double-Trees and Frequency Nets in Bayesian Reasoning,” MDM Policy & Practice, vol. 7, no. 1, 2022, doi: 10.1177/23814683221086623.
LibreCat | DOI
 
[12]
2021 | Journal Article | LibreCat-ID: 59433
K. Binder, S. Krauss, R. Schmidmaier, and L. T. Braun, “Natural frequency trees improve diagnostic efficiency in Bayesian reasoning,” Advances in Health Sciences Education, vol. 26, no. 3, pp. 847–863, 2021, doi: 10.1007/s10459-020-10025-8.
LibreCat | DOI
 
[11]
2021 | Journal Article | LibreCat-ID: 59429
G. Bruckmaier, S. Krauss, K. Binder, S. Hilbert, and M. Brunner, “Tversky and Kahneman’s Cognitive Illusions: Who Can Solve Them, and Why?,” Frontiers in Psychology, vol. 12, 2021, doi: 10.3389/fpsyg.2021.584689.
LibreCat | DOI
 
[10]
2021 | Journal Article | LibreCat-ID: 59439
K. Binder, S. Krauss, R. Schmidmaier, and L. T. Braun, “Natural frequency trees improve diagnostic efficiency in Bayesian reasoning,” Advances in Health Sciences Education, vol. 26, no. 3, pp. 847–863, 2021, doi: 10.1007/s10459-020-10025-8.
LibreCat | DOI
 
[9]
2020 | Journal Article | LibreCat-ID: 59423
S. Krauss et al., “Competence as a continuum in the COACTIV study: the ‘cascade model,’” ZDM, vol. 52, no. 2, pp. 311–327, 2020, doi: 10.1007/s11858-020-01151-z.
LibreCat | DOI
 
[8]
2020 | Journal Article | LibreCat-ID: 59431
S. Krauss, P. Weber, K. Binder, and G. Bruckmaier, “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,” Journal für Mathematik-Didaktik, vol. 41, no. 2, pp. 485–521, 2020, doi: 10.1007/s13138-019-00156-w.
LibreCat | DOI
 
[7]
2020 | Journal Article | LibreCat-ID: 59424
K. Binder, S. Krauss, and P. Wiesner, “A New Visualization for Probabilistic Situations Containing Two Binary Events: The Frequency Net,” Frontiers in Psychology, vol. 11, 2020, doi: 10.3389/fpsyg.2020.00750.
LibreCat | DOI
 
[6]
2019 | Journal Article | LibreCat-ID: 59428
G. Bruckmaier, K. Binder, S. Krauss, and H.-M. Kufner, “An Eye-Tracking Study of Statistical Reasoning With Tree Diagrams and 2 × 2 Tables,” Frontiers in Psychology, vol. 10, 2019, doi: 10.3389/fpsyg.2019.00632.
LibreCat | DOI
 
[5]
2018 | Journal Article | LibreCat-ID: 59425
P. Weber, K. Binder, and S. Krauss, “Why Can Only 24% Solve Bayesian Reasoning Problems in Natural Frequencies: Frequency Phobia in Spite of Probability Blindness,” Frontiers in Psychology, vol. 9, 2018, doi: 10.3389/fpsyg.2018.01833.
LibreCat | DOI
 
[4]
2018 | Journal Article | LibreCat-ID: 59430
S. Hilbert, G. Bruckmaier, K. Binder, S. Krauss, and M. Bühner, “Prediction of elementary mathematics grades by cognitive abilities,” European Journal of Psychology of Education, vol. 34, no. 3, pp. 665–683, 2018, doi: 10.1007/s10212-018-0394-9.
LibreCat | DOI
 
[3]
2018 | Journal Article | LibreCat-ID: 59426
K. Binder, S. Krauss, G. Bruckmaier, and J. Marienhagen, “Visualizing the Bayesian 2-test case: The effect of tree diagrams on medical decision making,” PLOS ONE, vol. 13, no. 3, Art. no. e0195029, 2018, doi: 10.1371/journal.pone.0195029.
LibreCat | DOI
 
[2]
2017 | Book Chapter | LibreCat-ID: 59427
K. Binder, S. Krauss, S. Hilbert, M. Brunner, Y. Anders, and M. Kunter, “Diagnostic Skills of Mathematics Teachers in the COACTIV Study,” in Diagnostic Competence of Mathematics Teachers, Cham: Springer International Publishing, 2017.
LibreCat | DOI
 
[1]
2015 | Journal Article | LibreCat-ID: 59422
K. Binder, S. Krauss, and G. Bruckmaier, “Effects of visualizing statistical information – an empirical study on tree diagrams and 2 × 2 tables,” Frontiers in Psychology, vol. 6, 2015, doi: 10.3389/fpsyg.2015.01186.
LibreCat | DOI
 

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18 Publications

Mark all

[18]
2025 | Journal Article | LibreCat-ID: 59438
M. Rößner, K. Binder, C. Geier, and S. Krauss, “Students’ performance and typical errors in filling empty probabilistic visualizations with probabilities or frequencies,” Educational Studies in Mathematics, 2025, doi: 10.1007/s10649-024-10372-y.
LibreCat | DOI
 
[17]
2024 | Journal Article | LibreCat-ID: 59435
T. Büchter et al., “Covariational reasoning in Bayesian situations,” Educational Studies in Mathematics, vol. 115, no. 3, pp. 481–505, 2024, doi: 10.1007/s10649-023-10274-5.
LibreCat | DOI
 
[16]
2024 | Journal Article | LibreCat-ID: 59437
N. Steib et al., “How to teach Bayesian reasoning: An empirical study comparing four different probability training courses,” Learning and Instruction, vol. 95, Art. no. 102032, 2024, doi: 10.1016/j.learninstruc.2024.102032.
LibreCat | DOI
 
[15]
2023 | Journal Article | LibreCat-ID: 59436
S. F. Brose, K. Binder, M. R. Fischer, M. Reincke, L. T. Braun, and R. Schmidmaier, “Bayesian versus diagnostic information in physician-patient communication: Effects of direction of statistical information and presentation of visualization,” PLOS ONE, vol. 18, no. 6, Art. no. e0283947, 2023, doi: 10.1371/journal.pone.0283947.
LibreCat | DOI
 
[14]
2022 | Journal Article | LibreCat-ID: 59432
K. Binder, N. Steib, and S. Krauss, “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?,” Journal für Mathematik-Didaktik, vol. 44, no. 2, pp. 471–503, 2022, doi: 10.1007/s13138-022-00215-9.
LibreCat | DOI
 
[13]
2022 | Journal Article | LibreCat-ID: 59434
A. K. Kunzelmann, K. Binder, M. R. Fischer, M. Reincke, L. T. Braun, and R. Schmidmaier, “Improving Diagnostic Efficiency with Frequency Double-Trees and Frequency Nets in Bayesian Reasoning,” MDM Policy & Practice, vol. 7, no. 1, 2022, doi: 10.1177/23814683221086623.
LibreCat | DOI
 
[12]
2021 | Journal Article | LibreCat-ID: 59433
K. Binder, S. Krauss, R. Schmidmaier, and L. T. Braun, “Natural frequency trees improve diagnostic efficiency in Bayesian reasoning,” Advances in Health Sciences Education, vol. 26, no. 3, pp. 847–863, 2021, doi: 10.1007/s10459-020-10025-8.
LibreCat | DOI
 
[11]
2021 | Journal Article | LibreCat-ID: 59429
G. Bruckmaier, S. Krauss, K. Binder, S. Hilbert, and M. Brunner, “Tversky and Kahneman’s Cognitive Illusions: Who Can Solve Them, and Why?,” Frontiers in Psychology, vol. 12, 2021, doi: 10.3389/fpsyg.2021.584689.
LibreCat | DOI
 
[10]
2021 | Journal Article | LibreCat-ID: 59439
K. Binder, S. Krauss, R. Schmidmaier, and L. T. Braun, “Natural frequency trees improve diagnostic efficiency in Bayesian reasoning,” Advances in Health Sciences Education, vol. 26, no. 3, pp. 847–863, 2021, doi: 10.1007/s10459-020-10025-8.
LibreCat | DOI
 
[9]
2020 | Journal Article | LibreCat-ID: 59423
S. Krauss et al., “Competence as a continuum in the COACTIV study: the ‘cascade model,’” ZDM, vol. 52, no. 2, pp. 311–327, 2020, doi: 10.1007/s11858-020-01151-z.
LibreCat | DOI
 
[8]
2020 | Journal Article | LibreCat-ID: 59431
S. Krauss, P. Weber, K. Binder, and G. Bruckmaier, “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,” Journal für Mathematik-Didaktik, vol. 41, no. 2, pp. 485–521, 2020, doi: 10.1007/s13138-019-00156-w.
LibreCat | DOI
 
[7]
2020 | Journal Article | LibreCat-ID: 59424
K. Binder, S. Krauss, and P. Wiesner, “A New Visualization for Probabilistic Situations Containing Two Binary Events: The Frequency Net,” Frontiers in Psychology, vol. 11, 2020, doi: 10.3389/fpsyg.2020.00750.
LibreCat | DOI
 
[6]
2019 | Journal Article | LibreCat-ID: 59428
G. Bruckmaier, K. Binder, S. Krauss, and H.-M. Kufner, “An Eye-Tracking Study of Statistical Reasoning With Tree Diagrams and 2 × 2 Tables,” Frontiers in Psychology, vol. 10, 2019, doi: 10.3389/fpsyg.2019.00632.
LibreCat | DOI
 
[5]
2018 | Journal Article | LibreCat-ID: 59425
P. Weber, K. Binder, and S. Krauss, “Why Can Only 24% Solve Bayesian Reasoning Problems in Natural Frequencies: Frequency Phobia in Spite of Probability Blindness,” Frontiers in Psychology, vol. 9, 2018, doi: 10.3389/fpsyg.2018.01833.
LibreCat | DOI
 
[4]
2018 | Journal Article | LibreCat-ID: 59430
S. Hilbert, G. Bruckmaier, K. Binder, S. Krauss, and M. Bühner, “Prediction of elementary mathematics grades by cognitive abilities,” European Journal of Psychology of Education, vol. 34, no. 3, pp. 665–683, 2018, doi: 10.1007/s10212-018-0394-9.
LibreCat | DOI
 
[3]
2018 | Journal Article | LibreCat-ID: 59426
K. Binder, S. Krauss, G. Bruckmaier, and J. Marienhagen, “Visualizing the Bayesian 2-test case: The effect of tree diagrams on medical decision making,” PLOS ONE, vol. 13, no. 3, Art. no. e0195029, 2018, doi: 10.1371/journal.pone.0195029.
LibreCat | DOI
 
[2]
2017 | Book Chapter | LibreCat-ID: 59427
K. Binder, S. Krauss, S. Hilbert, M. Brunner, Y. Anders, and M. Kunter, “Diagnostic Skills of Mathematics Teachers in the COACTIV Study,” in Diagnostic Competence of Mathematics Teachers, Cham: Springer International Publishing, 2017.
LibreCat | DOI
 
[1]
2015 | Journal Article | LibreCat-ID: 59422
K. Binder, S. Krauss, and G. Bruckmaier, “Effects of visualizing statistical information – an empirical study on tree diagrams and 2 × 2 tables,” Frontiers in Psychology, vol. 6, 2015, doi: 10.3389/fpsyg.2015.01186.
LibreCat | DOI
 

Search

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Citation Style: IEEE

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