KOBRA - Dokumentenserver der Universität Kassel  → Artikel gefördert durch den Open Access Publikationsfonds  → Publikationen 

Please use this identifier to cite or link to this item: http://nbn-resolving.de/urn:nbn:de:hebis:34-2017062652837

Title: The Impact of Visualizing Nested Sets. An Empirical Study on Tree Diagrams and Unit Squares
Authors: Böcherer-Linder, KatharinaEichler, Andreas
???metadata.dc.subject.ddc???: 510 - Mathematik (Mathematics)
Issue Date: 6-Jan-2017
Citation: In: Frontiers in psychology. - Lausanne : Frontiers Research Foundation, 2017, 7, 2026, 1-11
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.
URI: urn:nbn:de:hebis:34-2017062652837
additional URI: doi:10.3389/fpsyg.2016.02026OA-GEF
ISSN: 1664-1078
Appears in Collections:Publikationen

Files in This Item:

File Description SizeFormat
fpsyg_07_02026.pdf2.65 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.