进行非预先注册和预先注册研究的元分析
1Department of Methodology and Statistics, Tilburg University.
Psychological methods
|February 18, 2025
概括
在心理学中,预注册有助于减轻元分析中的出版偏见. 一种新的混合扩展元分析 (HYEMA) 方法对预先注册的研究进行了计算,通过只在非预先注册的研究中纠正偏差来提高准确性.
科学领域:
- 心理学 心理学 心理学
- 进行元分析分析.
- 研究方法研究方法论.
背景情况:
- 预先注册研究在心理学中越来越常见.
- 预先注册的研究可以减少元分析中的出版偏差,因为即使未发表,也可以追溯到它们.
- 现有的元分析方法不区分预先注册和未预先注册的研究,可能会扭曲结果.
研究的目的:
- 介绍混合扩展元分析 (HYEMA) 方法.
- 开发一种方法来计算预先注册和未预先注册的研究.
- 正确的出版偏差,特别是在元分析中的未预注册研究中.
主要方法:
- 建议使用混合扩展元分析 (HYEMA) 方法.
- HYEMA仅在未预先注册的研究中纠正出版偏差.
- 该方法应用于红色浪漫假设和金钱启动效应的元分析.
主要成果:
- 将HYEMA应用到两个心理元分析中,与传统的随机效应模型相比,效应大小估计接近于零.
- 模拟研究表明,当出版偏差存在时,HYEMA的性能优于现有方法 (随机效应模型,PET,PET-PEESE).
- 拟议的方法可以提高元分析结论的准确性.
结论:
- 当元分析包括预先注册和未预先注册的研究时,建议使用HYEMA作为灵敏度分析.
- 该方法通过解决对出版偏差的差异敏感性来提高元分析结果的可靠性.
- 提供了可访问的R代码和Web应用程序,以方便使用HYEMA.
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