Sample size determination and power analysis using the G*Power software.
Appropriate sample size calculation and power analysis have become major issues in research and publication processes. However, the complexity and difficulty of calculating sample size and power require broad statistical knowledge, there is a shortage of personnel with programming skills, and commer...
| Publicado en: | Journal of Educational Evaluation for Health Professions Vol. 18; pp. 1 - 13 |
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| Autor principal: | |
| Formato: | equations & formulas pictorial review tables/charts Journal Article |
| Publicado: |
National Health Personnel Licensing Examination Board
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=154952427&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 154952427 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19755937 B0CC jtl: Journal of Educational Evaluation for Health Professions issn: 19755937 maglogo: N pubinfo: dt: 2021 vid: 18 pid: 58691 pub: National Health Personnel Licensing Examination Board artinfo: ui: 154952427 154952427 154952427 10.3352/jeehp.2021.18.17 154952427 ppf: 1 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Sample size determination and power analysis using the G*Power software. aug: au: Hyun Kang affil: Department of Anesthesiology and Pain Medicine, Chung-Ang University College of Medicine, Seoul, Korea sug: subj: Sample Size Determination Power Analysis Data Analysis Software Null Hypothesis Alternative Hypothesis Effect Size Type I Error Type II Error Unpaired T-Tests Paired T-Tests Post Hoc Analysis One-Way Analysis of Variance Pearson's Correlation Coefficient ab: Appropriate sample size calculation and power analysis have become major issues in research and publication processes. However, the complexity and difficulty of calculating sample size and power require broad statistical knowledge, there is a shortage of personnel with programming skills, and commercial programs are often too expensive to use in practice. The review article aimed to explain the basic concepts of sample size calculation and power analysis; the process of sample estimation; and how to calculate sample size using G*Power software (latest ver. 3.1.9.7; Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany) with 5 statistical examples. The null and alternative hypothesis, effect size, power, alpha, type I error, and type II error should be described when calculating the sample size or power. G*Power is recommended for sample size and power calculations for various statistical methods (F, t, χ2, Z, and exact tests), because it is easy to use and free. The process of sample estimation consists of establishing research goals and hypotheses, choosing appropriate statistical tests, choosing one of 5 possible power analysis methods, inputting the required variables for analysis, and selecting the "calculate" button. The G*Power software supports sample size and power calculation for various statistical methods (F, t, χ2, z, and exact tests). This software is helpful for researchers to estimate the sample size and to conduct power analysis. pubtype: Academic Journal doctype: equations & formulas pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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