Aufsatz
Artikel (Publikationen im Open Access gefördert durch die UB)
The Impact of Visualizing Nested Sets. An Empirical Study on Tree Diagrams and Unit Squares
Abstract
It is an ongoing debate, what properties of visualizations increase people’s performance when solving Bayesian reasoning tasks. In the discussion of the properties of two visualizations, i.e., the tree diagram and the unit square, we emphasize how both visualizations make relevant subset relations transparent. Actually, the unit square with natural frequencies reveals the subset relation that is essential for the Bayes’ rule in a numerical and geometrical way whereas the tree diagram with natural frequencies does it only in a numerical way. Accordingly, in a first experiment with 148 university students, the unit square outperformed the tree diagram when referring to the students’ ability to quantify the subset relation that must be applied in Bayes’ rule. As hypothesized, in a second experiment with 143 students, the unit square was significantly more effective when the students’ performance in tasks based on Bayes’ rule was regarded. Our results could inform the debate referring to Bayesian reasoning since we found that the graphical transparency of nested sets could explain these visualizations’ effect.
Citation
In: Frontiers in psychology. - Lausanne : Frontiers Research Foundation, 2017, 7, 2026, 1-11Sponsorship
Gefördert durch den Publikationsfonds der Universität KasselCollections
Publikationen (Didaktik der Mathematik)Artikel (Publikationen im Open Access gefördert durch die UB)
Citation
@article{urn:nbn:de:hebis:34-2017062652837,
author={Böcherer-Linder, Katharina and Eichler, Andreas},
title={The Impact of Visualizing Nested Sets. An Empirical Study on Tree Diagrams and Unit Squares},
year={2017}
}
0500 Oax 0501 Text $btxt$2rdacontent 0502 Computermedien $bc$2rdacarrier 1100 2017$n2017 1500 1/eng 2050 ##0##urn:nbn:de:hebis:34-2017062652837 3000 Böcherer-Linder, Katharina 3010 Eichler, Andreas 4000 The Impact of Visualizing Nested Sets. An Empirical Study on Tree Diagrams and Unit Squares / Böcherer-Linder, Katharina 4030 4060 Online-Ressource 4085 ##0##=u http://nbn-resolving.de/urn:nbn:de:hebis:34-2017062652837=x R 4204 \$dAufsatz 4170 7136 ##0##urn:nbn:de:hebis:34-2017062652837
2017-06-26T13:42:55Z 2017-06-26T13:42:55Z 2017-01-06 1664-1078 urn:nbn:de:hebis:34-2017062652837 http://hdl.handle.net/123456789/2017062652837 Gefördert durch den Publikationsfonds der Universität Kassel eng Urheberrechtlich geschützt https://rightsstatements.org/page/InC/1.0/ Bayesian reasoning visualization unit square tree diagram nested sets 510 The Impact of Visualizing Nested Sets. An Empirical Study on Tree Diagrams and Unit Squares Aufsatz It is an ongoing debate, what properties of visualizations increase people’s performance when solving Bayesian reasoning tasks. In the discussion of the properties of two visualizations, i.e., the tree diagram and the unit square, we emphasize how both visualizations make relevant subset relations transparent. Actually, the unit square with natural frequencies reveals the subset relation that is essential for the Bayes’ rule in a numerical and geometrical way whereas the tree diagram with natural frequencies does it only in a numerical way. Accordingly, in a first experiment with 148 university students, the unit square outperformed the tree diagram when referring to the students’ ability to quantify the subset relation that must be applied in Bayes’ rule. As hypothesized, in a second experiment with 143 students, the unit square was significantly more effective when the students’ performance in tasks based on Bayes’ rule was regarded. Our results could inform the debate referring to Bayesian reasoning since we found that the graphical transparency of nested sets could explain these visualizations’ effect. open access In: Frontiers in psychology. - Lausanne : Frontiers Research Foundation, 2017, 7, 2026, 1-11 Böcherer-Linder, Katharina Eichler, Andreas doi:10.3389/fpsyg.2016.02026
The following license files are associated with this item:
Urheberrechtlich geschützt