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  1.  24
    Why Can Only 24% Solve Bayesian Reasoning Problems in Natural Frequencies: Frequency Phobia in Spite of Probability Blindness.Patrick Weber, Karin Binder & Stefan Krauss - 2018 - Frontiers in Psychology 9:375246.
    For more than 20 years, research has proven the beneficial effect of natural frequencies when it comes to solving Bayesian reasoning tasks (Gigerenzer & Hoffrage, 1995). In a recent meta-analysis, McDowell & Jacobs (2017) showed that presenting a task in natural frequency format increases performance rates to 24% compared to only 4% when the same task is presented in probability format. Nevertheless, on average three quarters of participants in their meta-analysis failed to obtain the correct solution for such a task (...)
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  2.  18
    Effects of visualizing statistical information – an empirical study on tree diagrams and 2 × 2 tables.Karin Binder, Stefan Krauss & Georg Bruckmaier - 2015 - Frontiers in Psychology 6.
  3.  7
    A New Visualization for Probabilistic Situations Containing Two Binary Events: The Frequency Net.Karin Binder, Stefan Krauss & Patrick Wiesner - 2020 - Frontiers in Psychology 11:506040.
    In teaching statistics in secondary schools and at university, two visualizations are primarily used when situations with two dichotomous characteristics are represented: 2×2 tables and tree diagrams. Both visualizations can be depicted either with probabilities or with frequencies. Visualizations with frequencies have been shown to help students significantly more in Bayesian reasoning problems than probability visualizations do. Because tree diagrams or double-trees (which are largely unknown in school) are node-branch-structures, these two visualizations (compared to the 2×2 table) can even simultaneously (...)
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  4.  18
    An Eye-Tracking Study of Statistical Reasoning With Tree Diagrams and 2 × 2 Tables.Georg Bruckmaier, Karin Binder, Stefan Krauss & Han-Min Kufner - 2019 - Frontiers in Psychology 10.
  5.  7
    Tversky and Kahneman’s Cognitive Illusions: Who Can Solve Them, and Why?Georg Bruckmaier, Stefan Krauss, Karin Binder, Sven Hilbert & Martin Brunner - 2021 - Frontiers in Psychology 12:584689.
    In the present paper we empirically investigate the psychometric properties of some of the most famous statistical and logical cognitive illusions from the “heuristics and biases” research program by Daniel Kahneman and Amos Tversky, who nearly 50 years ago introduced fascinating brain teasers such as the famous Linda problem, the Wason card selection task, and so-called Bayesian reasoning problems (e.g., the mammography task). In the meantime, a great number of articles has been published that empirically examine single cognitive illusions, theoretically (...)
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