克服了对生态,进化和行为的连续变量进行分类的陷
Roxanne S Beltran1, Corey E Tarwater2
1Department of Ecology and Evolutionary Biology, University of California, 130 McAllister Way , Santa Cruz, CA 95060, USA.
Proceedings. Biological sciences
|October 1, 2024
概括
在生物研究中对连续变量进行分类是常见的,并降低了统计能力. 分析数据不断改进解释,并支持强大的生态和进化结论.
科学领域:
- 生态生态学 生态生态学
- 进化生物学 进化生物学
- 行为科学 行为科学
背景情况:
- 在生物研究中,连续变量 (例如,体质) 通常被分析为类别 (例如,大与小).
- 这种做法可以降低统计能力,改变研究解释.
研究的目的:
- 在生态,进化和行为期刊中量化对连续变量进行分类的普遍性.
- 为了证明这种分类对统计能力和解释的负面影响.
- 为保持持续的变量分析提供建议.
主要方法:
- 这是一篇对六个著名期刊的72篇出版物的小评论.
- 经常被分类的指标的总结.
- 使用常见变量模拟数据集,以说明分类缺陷.
主要成果:
- 连续变量的分类在31%的审查出版物中被发现.
- 分析表明,分类降低了统计能力,并可能改变科学结论.
- 连续变量可以而且应该被收集和分析为这样的.
结论:
- 在整个科学过程中保持变量的连续性对于增加统计能力至关重要.
- 这种方法促进了更大的综合研究和更可靠的结论.
- 采用连续变量分析对于准确预测气候变化影响至关重要.
关键词:
这就是为什么BINBINBINBINBIN是BINBIN的意思.断点断点是指一个断点.类别 类别 类别 类别 类别 类别 类别 类别定量生态学 定量生态学统计 统计 统计 统计 统计这是一个门值.更多相关视频
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