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Statistical reporting inconsistencies in experimental philosophy
Experimental philosophy (x-phi) is a young field of research in the intersection of philosophy and psychology. It aims to make progress on philosophical questions by using experimental methods traditionally associated with the psychological and behavioral sciences, such as null hypothesis significan...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896892/ https://www.ncbi.nlm.nih.gov/pubmed/29649220 http://dx.doi.org/10.1371/journal.pone.0194360 |
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author | Colombo, Matteo Duev, Georgi Nuijten, Michèle B. Sprenger, Jan |
author_facet | Colombo, Matteo Duev, Georgi Nuijten, Michèle B. Sprenger, Jan |
author_sort | Colombo, Matteo |
collection | PubMed |
description | Experimental philosophy (x-phi) is a young field of research in the intersection of philosophy and psychology. It aims to make progress on philosophical questions by using experimental methods traditionally associated with the psychological and behavioral sciences, such as null hypothesis significance testing (NHST). Motivated by recent discussions about a methodological crisis in the behavioral sciences, questions have been raised about the methodological standards of x-phi. Here, we focus on one aspect of this question, namely the rate of inconsistencies in statistical reporting. Previous research has examined the extent to which published articles in psychology and other behavioral sciences present statistical inconsistencies in reporting the results of NHST. In this study, we used the R package statcheck to detect statistical inconsistencies in x-phi, and compared rates of inconsistencies in psychology and philosophy. We found that rates of inconsistencies in x-phi are lower than in the psychological and behavioral sciences. From the point of view of statistical reporting consistency, x-phi seems to do no worse, and perhaps even better, than psychological science. |
format | Online Article Text |
id | pubmed-5896892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58968922018-05-04 Statistical reporting inconsistencies in experimental philosophy Colombo, Matteo Duev, Georgi Nuijten, Michèle B. Sprenger, Jan PLoS One Research Article Experimental philosophy (x-phi) is a young field of research in the intersection of philosophy and psychology. It aims to make progress on philosophical questions by using experimental methods traditionally associated with the psychological and behavioral sciences, such as null hypothesis significance testing (NHST). Motivated by recent discussions about a methodological crisis in the behavioral sciences, questions have been raised about the methodological standards of x-phi. Here, we focus on one aspect of this question, namely the rate of inconsistencies in statistical reporting. Previous research has examined the extent to which published articles in psychology and other behavioral sciences present statistical inconsistencies in reporting the results of NHST. In this study, we used the R package statcheck to detect statistical inconsistencies in x-phi, and compared rates of inconsistencies in psychology and philosophy. We found that rates of inconsistencies in x-phi are lower than in the psychological and behavioral sciences. From the point of view of statistical reporting consistency, x-phi seems to do no worse, and perhaps even better, than psychological science. Public Library of Science 2018-04-12 /pmc/articles/PMC5896892/ /pubmed/29649220 http://dx.doi.org/10.1371/journal.pone.0194360 Text en © 2018 Colombo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Colombo, Matteo Duev, Georgi Nuijten, Michèle B. Sprenger, Jan Statistical reporting inconsistencies in experimental philosophy |
title | Statistical reporting inconsistencies in experimental philosophy |
title_full | Statistical reporting inconsistencies in experimental philosophy |
title_fullStr | Statistical reporting inconsistencies in experimental philosophy |
title_full_unstemmed | Statistical reporting inconsistencies in experimental philosophy |
title_short | Statistical reporting inconsistencies in experimental philosophy |
title_sort | statistical reporting inconsistencies in experimental philosophy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896892/ https://www.ncbi.nlm.nih.gov/pubmed/29649220 http://dx.doi.org/10.1371/journal.pone.0194360 |
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