Exploring perceptions of meaningfulness in visual representations of bivariate relationships

Researchers often need to consider the practical significance of a relationship. For example, interpreting the magnitude of an effect size or establishing bounds in equivalence testing requires knowledge of the meaningfulness of a relationship. However, there has been little research exploring the d...

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Main Authors: Nataly Beribisky, Heather Davidson, Robert A. Cribbie
Format: Article
Language:English
Published: PeerJ Inc. 2019-05-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/6853.pdf
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author Nataly Beribisky
Heather Davidson
Robert A. Cribbie
author_facet Nataly Beribisky
Heather Davidson
Robert A. Cribbie
author_sort Nataly Beribisky
collection DOAJ
description Researchers often need to consider the practical significance of a relationship. For example, interpreting the magnitude of an effect size or establishing bounds in equivalence testing requires knowledge of the meaningfulness of a relationship. However, there has been little research exploring the degree of relationship among variables (e.g., correlation, mean difference) necessary for an association to be interpreted as meaningful or practically significant. In this study, we presented statistically trained and untrained participants with a collection of figures that displayed varying degrees of mean difference between groups or correlations among variables and participants indicated whether or not each relationship was meaningful. The results suggest that statistically trained and untrained participants differ in their qualification of a meaningful relationship, and that there is significant variability in how large a relationship must be before it is labeled meaningful. The results also shed some light on what degree of relationship is considered meaningful by individuals in a context-free setting.
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spelling doaj.art-334445ad33f7410ab2022a023250054e2023-12-03T09:47:19ZengPeerJ Inc.PeerJ2167-83592019-05-017e685310.7717/peerj.6853Exploring perceptions of meaningfulness in visual representations of bivariate relationshipsNataly Beribisky0Heather Davidson1Robert A. Cribbie2Department of Psychology, York University, Toronto, CanadaDepartment of Psychology, York University, Toronto, CanadaDepartment of Psychology, York University, Toronto, CanadaResearchers often need to consider the practical significance of a relationship. For example, interpreting the magnitude of an effect size or establishing bounds in equivalence testing requires knowledge of the meaningfulness of a relationship. However, there has been little research exploring the degree of relationship among variables (e.g., correlation, mean difference) necessary for an association to be interpreted as meaningful or practically significant. In this study, we presented statistically trained and untrained participants with a collection of figures that displayed varying degrees of mean difference between groups or correlations among variables and participants indicated whether or not each relationship was meaningful. The results suggest that statistically trained and untrained participants differ in their qualification of a meaningful relationship, and that there is significant variability in how large a relationship must be before it is labeled meaningful. The results also shed some light on what degree of relationship is considered meaningful by individuals in a context-free setting.https://peerj.com/articles/6853.pdfEffect sizesOverlapping histogramsScatterplotsPractical significance
spellingShingle Nataly Beribisky
Heather Davidson
Robert A. Cribbie
Exploring perceptions of meaningfulness in visual representations of bivariate relationships
PeerJ
Effect sizes
Overlapping histograms
Scatterplots
Practical significance
title Exploring perceptions of meaningfulness in visual representations of bivariate relationships
title_full Exploring perceptions of meaningfulness in visual representations of bivariate relationships
title_fullStr Exploring perceptions of meaningfulness in visual representations of bivariate relationships
title_full_unstemmed Exploring perceptions of meaningfulness in visual representations of bivariate relationships
title_short Exploring perceptions of meaningfulness in visual representations of bivariate relationships
title_sort exploring perceptions of meaningfulness in visual representations of bivariate relationships
topic Effect sizes
Overlapping histograms
Scatterplots
Practical significance
url https://peerj.com/articles/6853.pdf
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