Effect size – large, medium, and small

The overall purpose of the ‘Statistical Points and Pitfalls’ series is to help readers and researchers alike increase awareness of how to use statistics and why/how we fall into inappropriate choices or interpretations. We hope to help readers understand common misconceptions and give clear guidance...

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Detalles Bibliográficos
Autores principales: Leppink, Jimmie, O’Sullivan, Patricia, Winston, Kal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bohn Stafleu van Loghum 2016
Materias:
Statistical Points and Pitfalls
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5122517/
https://www.ncbi.nlm.nih.gov/pubmed/27752936
http://dx.doi.org/10.1007/s40037-016-0308-y
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author Leppink, Jimmie
O’Sullivan, Patricia
Winston, Kal
author_facet Leppink, Jimmie
O’Sullivan, Patricia
Winston, Kal
author_sort Leppink, Jimmie
collection PubMed
description The overall purpose of the ‘Statistical Points and Pitfalls’ series is to help readers and researchers alike increase awareness of how to use statistics and why/how we fall into inappropriate choices or interpretations. We hope to help readers understand common misconceptions and give clear guidance on how to avoid common pitfalls by offering simple tips to improve your reporting of quantitative research findings. Each entry discusses a commonly encountered inappropriate practice and alternatives from a pragmatic perspective with minimal mathematics involved. We encourage readers to share comments on or suggestions for this section on Twitter, using the hashtag: #mededstats.
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spelling pubmed-51225172016-12-09 Effect size – large, medium, and small Leppink, Jimmie O’Sullivan, Patricia Winston, Kal Perspect Med Educ Statistical Points and Pitfalls The overall purpose of the ‘Statistical Points and Pitfalls’ series is to help readers and researchers alike increase awareness of how to use statistics and why/how we fall into inappropriate choices or interpretations. We hope to help readers understand common misconceptions and give clear guidance on how to avoid common pitfalls by offering simple tips to improve your reporting of quantitative research findings. Each entry discusses a commonly encountered inappropriate practice and alternatives from a pragmatic perspective with minimal mathematics involved. We encourage readers to share comments on or suggestions for this section on Twitter, using the hashtag: #mededstats. Bohn Stafleu van Loghum 2016-10-17 2016-12 /pmc/articles/PMC5122517/ /pubmed/27752936 http://dx.doi.org/10.1007/s40037-016-0308-y Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Statistical Points and Pitfalls
Leppink, Jimmie
O’Sullivan, Patricia
Winston, Kal
Effect size – large, medium, and small
title Effect size – large, medium, and small
title_full Effect size – large, medium, and small
title_fullStr Effect size – large, medium, and small
title_full_unstemmed Effect size – large, medium, and small
title_short Effect size – large, medium, and small
title_sort effect size – large, medium, and small
topic Statistical Points and Pitfalls
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5122517/
https://www.ncbi.nlm.nih.gov/pubmed/27752936
http://dx.doi.org/10.1007/s40037-016-0308-y
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