metaConvert:一个自动套件,用于估计11个不同的效果大小指标,并灵活地在它们之间转换
Corentin J Gosling1,2,3, Samuele Cortese3,4,5,6,7, Marco Solmi3,8,9,10,11,12
1Université Paris Nanterre, Laboratoire DysCo, Nanterre, France.
Research synthesis methods
|February 2, 2026
概括
估计效应大小在科学中至关重要,但可能具有挑战性. metaConvert R包和网络工具简化了计算和转换各种效果大小指标,提高了研究人员的准确性.
科学领域:
- 生物统计学 生物统计学
- 量化研究方法 量化研究方法
- 生命科学 生命科学
背景情况:
- 准确估计效应大小是科学研究的基础.
- 计算和转换不同的效果大小指标可能是复杂的,容易出现错误.
研究的目的:
- 介绍metaConvert,一个R包和Web工具,旨在简化效果大小计算和转换.
- 为跨学科的研究人员提供灵活而准确的解决方案.
主要方法:
- metaConvert R包使用120多种公式进行效果大小转换.
- 它支持对多个常见效果大小指标的转换,包括科恩的d,赫奇斯的g,赔率比率和相关系数.
- 一个用户友好的,基于浏览器的图形界面可在https://metaconvert.org/提供给非R用户.
主要成果:
- metaConvert 自动化了许多效果大小指标的计算和转换.
- 该工具可容纳各种输入数据类型进行转换.
- 无论是R用户还是非R用户都可以通过包或Web界面访问该功能.
结论:
- metaConvert 提高了科学研究中效果大小估计的方便性和准确性.
- 这个工具对生命科学和其他需要效果大小分析的领域的研究人员来说是有价值的.
- 该包和接口旨在减少效果大小计算中的复杂性和潜在错误.
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