Sample size estimation for health and social science researchers: The principles and considerations for different study designs
Sample size is one of the important considerations at the planning phase of a research proposal, but researchers are often faced with challenges of estimating valid sample size. Many researchers frequently use inadequate sample size and this invariably introduces errors into the final findings. Many...
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| Veröffentlicht in: | The Nigerian postgraduate medical journal Jg. 27; H. 2; S. 67 - 75 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Nigeria
Wolters Kluwer India Pvt. Ltd
01.04.2020
Medknow Publications & Media Pvt. Ltd Wolters Kluwer Medknow Publications |
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| ISSN: | 1117-1936, 2468-6875 |
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| Abstract | Sample size is one of the important considerations at the planning phase of a research proposal, but researchers are often faced with challenges of estimating valid sample size. Many researchers frequently use inadequate sample size and this invariably introduces errors into the final findings. Many reviews on sample size estimation have focused more on specific study designs which often present technical equations and formula that are boring to statistically naïve health researchers. Therefore, this compendium reviews all the common sample size estimation formula in social science and health research with the aim of providing basic guidelines and principles to achieve valid sample size estimation. The simplification of the sample size formula and detailed explanation in this review will demystify the difficulties many students as well as some researchers have with statistical formulae for sample size estimation. |
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| AbstractList | Sample size is one of the important considerations at the planning phase of a research proposal, but researchers are often faced with challenges of estimating valid sample size. Many researchers frequently use inadequate sample size and this invariably introduces errors into the final findings. Many reviews on sample size estimation have focused more on specific study designs which often present technical equations and formula that are boring to statistically naïve health researchers. Therefore, this compendium reviews all the common sample size estimation formula in social science and health research with the aim of providing basic guidelines and principles to achieve valid sample size estimation. The simplification of the sample size formula and detailed explanation in this review will demystify the difficulties many students as well as some researchers have with statistical formulae for sample size estimation. Sample size is one of the important considerations at the planning phase of a research proposal, but researchers are often faced with challenges of estimating valid sample size. Many researchers frequently use inadequate sample size and this invariably introduces errors into the final findings. Many reviews on sample size estimation have focused more on specific study designs which often present technical equations and formula that are boring to statistically naïve health researchers. Therefore, this compendium reviews all the common sample size estimation formula in social science and health research with the aim of providing basic guidelines and principles to achieve valid sample size estimation. The simplification of the sample size formula and detailed explanation in this review will demystify the difficulties many students as well as some researchers have with statistical formulae for sample size estimation.Sample size is one of the important considerations at the planning phase of a research proposal, but researchers are often faced with challenges of estimating valid sample size. Many researchers frequently use inadequate sample size and this invariably introduces errors into the final findings. Many reviews on sample size estimation have focused more on specific study designs which often present technical equations and formula that are boring to statistically naïve health researchers. Therefore, this compendium reviews all the common sample size estimation formula in social science and health research with the aim of providing basic guidelines and principles to achieve valid sample size estimation. The simplification of the sample size formula and detailed explanation in this review will demystify the difficulties many students as well as some researchers have with statistical formulae for sample size estimation. |
| Author | Bolarinwa, Oladimeji |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32295935$$D View this record in MEDLINE/PubMed |
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| References_xml | – ident: key-10.4103/1117-1936.282318-13 – ident: key-10.4103/1117-1936.282318-12 – start-page: 51 volume-title: How to calculate sample size in randomized controlled trial? year: 2009 ident: key-10.4103/1117-1936.282318-10 publication-title: J Thorac Dis – ident: key-10.4103/1117-1936.282318-15 – start-page: 21 volume-title: Design and determination of the sample size in medical research.IOSR J Dent Med Sci (IOSR-JDMS) year: 2014 ident: key-10.4103/1117-1936.282318-4 – ident: key-10.4103/1117-1936.282318-2 doi: 10.1201/9781315183084 – start-page: 193 volume-title: Sample size estimation in diagnostic test studies of biomedical informatics year: 2014 ident: key-10.4103/1117-1936.282318-17 publication-title: J Biomed Inform – start-page: 20 volume-title: Sampling methods and sample size calculation for the SMART methodology year: 2012 ident: key-10.4103/1117-1936.282318-1 publication-title: University; – ident: key-10.4103/1117-1936.282318-5 – start-page: 496 issn: 0019-5154 volume-title: Biostatistics series module 5: Determining sample size year: 2016 ident: key-10.4103/1117-1936.282318-8 publication-title: Indian J Dermatol – ident: key-10.4103/1117-1936.282318-3 – start-page: 1388 volume-title: Sample size calculations: Basic principles and common pitfalls year: 2010 ident: key-10.4103/1117-1936.282318-14 publication-title: Nephrol Dial Transplant – start-page: 102 volume-title: Sample size calculations for cluster randomised controlled trials with a fixed number of clusters year: 2011 ident: key-10.4103/1117-1936.282318-16 publication-title: BMC Med Res Methodol – start-page: 121 issn: 0253-7176 volume-title: How to calculate sample size for different study designs in medical research? year: 2013 ident: key-10.4103/1117-1936.282318-6 publication-title: Indian J Psychol Med – ident: key-10.4103/1117-1936.282318-9 – ident: key-10.4103/1117-1936.282318-11 – start-page: 225 volume-title: Sample size calculation in epidemiological studies year: 2006 ident: key-10.4103/1117-1936.282318-7 publication-title: Gerontologija |
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| Title | Sample size estimation for health and social science researchers: The principles and considerations for different study designs |
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