The communicability of graphical alternatives to tabular displays of statistical simulation studies.

Simulation studies are often used to assess the frequency properties and optimality of statistical methods. They are typically reported in tables, which may contain hundreds of figures to be contrasted over multiple dimensions. To assess the degree to which these tables are fit for purpose, we perfo...

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Autores principales: Alex R Cook, Shanice W L Teo
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2011
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Acceso en línea:https://doaj.org/article/e558bfafa92344b6bd9286567d7f70e7
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spelling oai:doaj.org-article:e558bfafa92344b6bd9286567d7f70e72021-11-18T07:33:37ZThe communicability of graphical alternatives to tabular displays of statistical simulation studies.1932-620310.1371/journal.pone.0027974https://doaj.org/article/e558bfafa92344b6bd9286567d7f70e72011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22132184/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Simulation studies are often used to assess the frequency properties and optimality of statistical methods. They are typically reported in tables, which may contain hundreds of figures to be contrasted over multiple dimensions. To assess the degree to which these tables are fit for purpose, we performed a randomised cross-over experiment in which statisticians were asked to extract information from (i) such a table sourced from the literature and (ii) a graphical adaptation designed by the authors, and were timed and assessed for accuracy. We developed hierarchical models accounting for differences between individuals of different experience levels (under- and post-graduate), within experience levels, and between different table-graph pairs. In our experiment, information could be extracted quicker and, for less experienced participants, more accurately from graphical presentations than tabular displays. We also performed a literature review to assess the prevalence of hard-to-interpret design features in tables of simulation studies in three popular statistics journals, finding that many are presented innumerately. We recommend simulation studies be presented in graphical form.Alex R CookShanice W L TeoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 11, p e27974 (2011)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Alex R Cook
Shanice W L Teo
The communicability of graphical alternatives to tabular displays of statistical simulation studies.
description Simulation studies are often used to assess the frequency properties and optimality of statistical methods. They are typically reported in tables, which may contain hundreds of figures to be contrasted over multiple dimensions. To assess the degree to which these tables are fit for purpose, we performed a randomised cross-over experiment in which statisticians were asked to extract information from (i) such a table sourced from the literature and (ii) a graphical adaptation designed by the authors, and were timed and assessed for accuracy. We developed hierarchical models accounting for differences between individuals of different experience levels (under- and post-graduate), within experience levels, and between different table-graph pairs. In our experiment, information could be extracted quicker and, for less experienced participants, more accurately from graphical presentations than tabular displays. We also performed a literature review to assess the prevalence of hard-to-interpret design features in tables of simulation studies in three popular statistics journals, finding that many are presented innumerately. We recommend simulation studies be presented in graphical form.
format article
author Alex R Cook
Shanice W L Teo
author_facet Alex R Cook
Shanice W L Teo
author_sort Alex R Cook
title The communicability of graphical alternatives to tabular displays of statistical simulation studies.
title_short The communicability of graphical alternatives to tabular displays of statistical simulation studies.
title_full The communicability of graphical alternatives to tabular displays of statistical simulation studies.
title_fullStr The communicability of graphical alternatives to tabular displays of statistical simulation studies.
title_full_unstemmed The communicability of graphical alternatives to tabular displays of statistical simulation studies.
title_sort communicability of graphical alternatives to tabular displays of statistical simulation studies.
publisher Public Library of Science (PLoS)
publishDate 2011
url https://doaj.org/article/e558bfafa92344b6bd9286567d7f70e7
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