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Denouncing the use of field-specific effect size distributions to inform magnitude
An effect size (ES) provides valuable information regarding the magnitude of effects, with the interpretation of magnitude being the most important. Interpreting ES magnitude requires combining information from the numerical ES value and the context of the research. However, many researchers adopt p...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8210805/ https://www.ncbi.nlm.nih.gov/pubmed/34178435 http://dx.doi.org/10.7717/peerj.11383 |
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author | Panzarella, Emily Beribisky, Nataly Cribbie, Robert A. |
author_facet | Panzarella, Emily Beribisky, Nataly Cribbie, Robert A. |
author_sort | Panzarella, Emily |
collection | PubMed |
description | An effect size (ES) provides valuable information regarding the magnitude of effects, with the interpretation of magnitude being the most important. Interpreting ES magnitude requires combining information from the numerical ES value and the context of the research. However, many researchers adopt popular benchmarks such as those proposed by Cohen. More recently, researchers have proposed interpreting ES magnitude relative to the distribution of observed ESs in a specific field, creating unique benchmarks for declaring effects small, medium or large. However, there is no valid rationale whatsoever for this approach. This study was carried out in two parts: (1) We identified articles that proposed the use of field-specific ES distributions to interpret magnitude (primary articles); and (2) We identified articles that cited the primary articles and classified them by year and publication type. The first type consisted of methodological papers. The second type included articles that interpreted ES magnitude using the approach proposed in the primary articles. There has been a steady increase in the number of methodological and substantial articles discussing or adopting the approach of interpreting ES magnitude by considering the distribution of observed ES in that field, even though the approach is devoid of a theoretical framework. It is hoped that this research will restrict the practice of interpreting ES magnitude relative to the distribution of ES values in a field and instead encourage researchers to interpret such by considering the specific context of the study. |
format | Online Article Text |
id | pubmed-8210805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82108052021-06-25 Denouncing the use of field-specific effect size distributions to inform magnitude Panzarella, Emily Beribisky, Nataly Cribbie, Robert A. PeerJ Psychiatry and Psychology An effect size (ES) provides valuable information regarding the magnitude of effects, with the interpretation of magnitude being the most important. Interpreting ES magnitude requires combining information from the numerical ES value and the context of the research. However, many researchers adopt popular benchmarks such as those proposed by Cohen. More recently, researchers have proposed interpreting ES magnitude relative to the distribution of observed ESs in a specific field, creating unique benchmarks for declaring effects small, medium or large. However, there is no valid rationale whatsoever for this approach. This study was carried out in two parts: (1) We identified articles that proposed the use of field-specific ES distributions to interpret magnitude (primary articles); and (2) We identified articles that cited the primary articles and classified them by year and publication type. The first type consisted of methodological papers. The second type included articles that interpreted ES magnitude using the approach proposed in the primary articles. There has been a steady increase in the number of methodological and substantial articles discussing or adopting the approach of interpreting ES magnitude by considering the distribution of observed ES in that field, even though the approach is devoid of a theoretical framework. It is hoped that this research will restrict the practice of interpreting ES magnitude relative to the distribution of ES values in a field and instead encourage researchers to interpret such by considering the specific context of the study. PeerJ Inc. 2021-06-14 /pmc/articles/PMC8210805/ /pubmed/34178435 http://dx.doi.org/10.7717/peerj.11383 Text en © 2021 Panzarella et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Psychiatry and Psychology Panzarella, Emily Beribisky, Nataly Cribbie, Robert A. Denouncing the use of field-specific effect size distributions to inform magnitude |
title | Denouncing the use of field-specific effect size distributions to inform magnitude |
title_full | Denouncing the use of field-specific effect size distributions to inform magnitude |
title_fullStr | Denouncing the use of field-specific effect size distributions to inform magnitude |
title_full_unstemmed | Denouncing the use of field-specific effect size distributions to inform magnitude |
title_short | Denouncing the use of field-specific effect size distributions to inform magnitude |
title_sort | denouncing the use of field-specific effect size distributions to inform magnitude |
topic | Psychiatry and Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8210805/ https://www.ncbi.nlm.nih.gov/pubmed/34178435 http://dx.doi.org/10.7717/peerj.11383 |
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