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When is enough, enough? Understanding and solving your sample size problems in health services research

Health services researchers face two obstacles to sample size calculation: inaccessible, highly specialised or overly technical literature, and difficulty securing methodologists during the planning stages of research. The purpose of this article is to provide pragmatic sample size calculation guida...

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Detalles Bibliográficos
Autores principales: Pye, Victoria, Taylor, Natalie, Clay-Williams, Robyn, Braithwaite, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751721/
https://www.ncbi.nlm.nih.gov/pubmed/26867928
http://dx.doi.org/10.1186/s13104-016-1893-x
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author Pye, Victoria
Taylor, Natalie
Clay-Williams, Robyn
Braithwaite, Jeffrey
author_facet Pye, Victoria
Taylor, Natalie
Clay-Williams, Robyn
Braithwaite, Jeffrey
author_sort Pye, Victoria
collection PubMed
description Health services researchers face two obstacles to sample size calculation: inaccessible, highly specialised or overly technical literature, and difficulty securing methodologists during the planning stages of research. The purpose of this article is to provide pragmatic sample size calculation guidance for researchers who are designing a health services study. We aimed to create a simplified and generalizable process for sample size calculation, by (1) summarising key factors and considerations in determining a sample size, (2) developing practical steps for researchers—illustrated by a case study and, (3) providing a list of resources to steer researchers to the next stage of their calculations. Health services researchers can use this guidance to improve their understanding of sample size calculation, and implement these steps in their research practice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13104-016-1893-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-47517212016-02-13 When is enough, enough? Understanding and solving your sample size problems in health services research Pye, Victoria Taylor, Natalie Clay-Williams, Robyn Braithwaite, Jeffrey BMC Res Notes Technical Note Health services researchers face two obstacles to sample size calculation: inaccessible, highly specialised or overly technical literature, and difficulty securing methodologists during the planning stages of research. The purpose of this article is to provide pragmatic sample size calculation guidance for researchers who are designing a health services study. We aimed to create a simplified and generalizable process for sample size calculation, by (1) summarising key factors and considerations in determining a sample size, (2) developing practical steps for researchers—illustrated by a case study and, (3) providing a list of resources to steer researchers to the next stage of their calculations. Health services researchers can use this guidance to improve their understanding of sample size calculation, and implement these steps in their research practice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13104-016-1893-x) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-12 /pmc/articles/PMC4751721/ /pubmed/26867928 http://dx.doi.org/10.1186/s13104-016-1893-x Text en © Pye et al. 2016 Open AccessThis 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Technical Note
Pye, Victoria
Taylor, Natalie
Clay-Williams, Robyn
Braithwaite, Jeffrey
When is enough, enough? Understanding and solving your sample size problems in health services research
title When is enough, enough? Understanding and solving your sample size problems in health services research
title_full When is enough, enough? Understanding and solving your sample size problems in health services research
title_fullStr When is enough, enough? Understanding and solving your sample size problems in health services research
title_full_unstemmed When is enough, enough? Understanding and solving your sample size problems in health services research
title_short When is enough, enough? Understanding and solving your sample size problems in health services research
title_sort when is enough, enough? understanding and solving your sample size problems in health services research
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751721/
https://www.ncbi.nlm.nih.gov/pubmed/26867928
http://dx.doi.org/10.1186/s13104-016-1893-x
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