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Experts’ Misinterpretation of Box Plots – a Dual Processing Approach

Recent studies have shown that students often misinterpret the area of the box in box plots as representing the frequency or proportion of observations in that interval, while it actually represents density. This misinterpretation has been shown to be based on the saliency of this area and can be ex...

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Detalles Bibliográficos
Autores principales: Lem, Stephanie, Onghena, Patrick, Verschaffel, Lieven, Van Dooren, Wim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5854218/
https://www.ncbi.nlm.nih.gov/pubmed/30479411
http://dx.doi.org/10.5334/pb.az
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author Lem, Stephanie
Onghena, Patrick
Verschaffel, Lieven
Van Dooren, Wim
author_facet Lem, Stephanie
Onghena, Patrick
Verschaffel, Lieven
Van Dooren, Wim
author_sort Lem, Stephanie
collection PubMed
description Recent studies have shown that students often misinterpret the area of the box in box plots as representing the frequency or proportion of observations in that interval, while it actually represents density. This misinterpretation has been shown to be based on the saliency of this area and can be explained by heuristic reasoning as defined by dual process theories. In this study we tested whether expert users of box plots also display this misinterpretation and show signs of the same heuristic reasoning as found in students. Using a reaction time test, we found signs of heuristic reasoning in experts, both with respect to accuracy and reaction times. If even experts have difficulty interpreting box plots, one can question whether these are an appropriate form of representation to use when reporting data and deserve the prominent place they currently have in the statistics curriculum.
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spelling pubmed-58542182018-11-26 Experts’ Misinterpretation of Box Plots – a Dual Processing Approach Lem, Stephanie Onghena, Patrick Verschaffel, Lieven Van Dooren, Wim Psychol Belg Research Article Recent studies have shown that students often misinterpret the area of the box in box plots as representing the frequency or proportion of observations in that interval, while it actually represents density. This misinterpretation has been shown to be based on the saliency of this area and can be explained by heuristic reasoning as defined by dual process theories. In this study we tested whether expert users of box plots also display this misinterpretation and show signs of the same heuristic reasoning as found in students. Using a reaction time test, we found signs of heuristic reasoning in experts, both with respect to accuracy and reaction times. If even experts have difficulty interpreting box plots, one can question whether these are an appropriate form of representation to use when reporting data and deserve the prominent place they currently have in the statistics curriculum. Ubiquity Press 2014-11-20 /pmc/articles/PMC5854218/ /pubmed/30479411 http://dx.doi.org/10.5334/pb.az Text en Copyright: © 2014 The Author(s) http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License (CC-BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/3.0/.
spellingShingle Research Article
Lem, Stephanie
Onghena, Patrick
Verschaffel, Lieven
Van Dooren, Wim
Experts’ Misinterpretation of Box Plots – a Dual Processing Approach
title Experts’ Misinterpretation of Box Plots – a Dual Processing Approach
title_full Experts’ Misinterpretation of Box Plots – a Dual Processing Approach
title_fullStr Experts’ Misinterpretation of Box Plots – a Dual Processing Approach
title_full_unstemmed Experts’ Misinterpretation of Box Plots – a Dual Processing Approach
title_short Experts’ Misinterpretation of Box Plots – a Dual Processing Approach
title_sort experts’ misinterpretation of box plots – a dual processing approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5854218/
https://www.ncbi.nlm.nih.gov/pubmed/30479411
http://dx.doi.org/10.5334/pb.az
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