回归陷:为什么回归分析不适合选择在行为改变干预中准的决定因素
Rik Crutzen1, Gjalt-Jorn Ygram Peters2,3
1Department of Health Promotion, Maastricht University/CAPHRI, Maastricht, The Netherlands.
Health psychology and behavioral medicine
|October 30, 2023
概括
回归分析可能会导致"回归陷",导致干预措施针对不太相关的因素. 这项研究解释了为什么回归不适合选择行为改变干预目标.
科学领域:
- 行为科学 行为科学
- 健康心理学 心理健康心理学
- 干预科学 干预科学
背景情况:
- 回归分析经常用于识别行为改变干预的关键决定因素.
- 然而,这些统计方法的共同应用可能会导致不理想的干预设计.
研究的目的:
- 阐明回归分析在选择行为改变干预的决定因素方面的局限性.
- 介绍"回归陷"的概念及其含义.
主要方法:
- 检查决定性重叠的理论依据.
- 分析回归系数公式的数学理由.
- 使用真实世界数据的实证例子.
主要成果:
- 回归系数可能会由于相互决定因素的相关性而导致误导,经常忽视心理复杂性.
- 这种扭曲导致干预针对影响较小的决定因素.
- 因此,行为改变干预措施的有效性可能会降低.
结论:
- 理论,数学和实践问题使回归分析不适合选择干预目标.
- 干预开发人员应该同时考虑单变量和双变量数据.
- 现有可访问的工具支持更合适的选择方法.
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