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Sample size determination and power analysis using the G*Power software.
Journal of Educational Evaluation for Health Professions Pub Date : 2021-07-30 , DOI: 10.3352/jeehp.2021.18.17
Hyun Kang 1
Affiliation  

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.

中文翻译:

使用 G*Power 软件确定样本大小和功效分析。

适当的样本量计算和功效分析已成为研究和出版过程中的主要问题。然而,计算样本量和功效的复杂性和难度需要广泛的统计知识,缺乏具有编程技能的人员,并且商业程序在实践中往往过于昂贵而无法使用。综述文章旨在解释样本量计算和功效分析的基本概念;样本估计过程;以及如何使用 G*Power 软件(最新版本 3.1.9.7;Heinrich-Heine-Universität Düsseldorf,Düsseldorf,Germany)和 5 个统计示例计算样本量。在计算样本量或功效时,应描述原假设和备择假设、效应量、功效、α、I 类错误和 II 类错误。G*Power 推荐用于各种统计方法(F、t、χ2、Z 和精确检验)的样本量和功效计算,因为它易于使用且免费。样本估计的过程包括建立研究目标和假设、选择适当的统计检验、选择 5 种可能的功效分析方法之一、输入分析所需的变量以及选择“计算”按钮。G*Power 软件支持各种统计方法(F、t、χ2、z 和精确检验)的样本量和功效计算。该软件有助于研究人员估计样本量和进行功效分析。样本估计的过程包括建立研究目标和假设、选择适当的统计检验、选择 5 种可能的功效分析方法之一、输入分析所需的变量以及选择“计算”按钮。G*Power 软件支持各种统计方法(F、t、χ2、z 和精确检验)的样本量和功效计算。该软件有助于研究人员估计样本量和进行功效分析。样本估计的过程包括建立研究目标和假设、选择适当的统计检验、选择 5 种可能的功效分析方法之一、输入分析所需的变量以及选择“计算”按钮。G*Power 软件支持各种统计方法(F、t、χ2、z 和精确检验)的样本量和功效计算。该软件有助于研究人员估计样本量和进行功效分析。
更新日期:2021-07-30
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