现实主义和强度要求在研究两性时增加样本大小
Szymon M Drobniak1,2, Malgorzata Lagisz1,3, Yefeng Yang1
1Evolution & Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia.
PLoS biology
|April 11, 2024
概括
研究人员在研究两性时可能需要更大的样本大小. 最近的一篇文章忽略了生物性别往往具有不平等的变异,这是对样本大小计算的错误假设.
科学领域:
- 生物统计学 生物统计学
- 性差异研究 研究 研究 研究
- 统计建模 统计建模
背景情况:
- 最近的一篇出版物表明,研究人员不需要调整样本大小,包括男性和女性受试者在内的研究.
- 这一说法是基于性别差异均等的假设.
研究的目的:
- 对上述文章进行正式评论.
- 突出在统计分析中不切实际地假设生物性别之间的差异相等.
- 解释不平等差异对研究样本大小确定性的影响.
主要方法:
- 对参考文章中的假设进行批判性分析.
- 解释统计差异及其与样本大小的相关性.
- 讨论性别之间的潜在差异差异的生物学基础.
主要成果:
- 引用的研究的结论取决于假设两性之间的差异均等.
- 这种假设在统计和生物学上是不现实的.
- 不平等的差异需要仔细考虑样本大小,以确保两性都有足够的统计能力.
结论:
- 性别差异均等的假设通常不是有效的.
- 研究人员在规划涉及两性研究时必须考虑潜在的差异差异.
- 如果不考虑不平等的差异,可能会导致研究不足和关于性别特异性影响的不准确结论.
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