异步测量变量之间的动态:对瞬间影响和早晨睡眠报告的多层次方法
Sophie W Berkhout1, Noémi K Schuurman1, Koen Niemeijer2
1Department of Methodology and Statistics, Utrecht University, Utrecht, The Netherlands.
Multivariate behavioral research
|September 15, 2025
概括
这项研究引入了一个新的统计模型来分析日常睡眠质量和瞬间情绪之间的复杂关系. 该模型解决了不同测量频率带来的挑战,提供了对影响和睡眠动态的更准确的理解.
科学领域:
- 心理学 心理学 心理学
- 行为科学 行为科学
- 量化心理学 量化心理学
背景情况:
- 睡眠和情感之间的相互关系在心理学研究中得到了很好的证实.
- 当前的研究往往面临挑战,因为影响的异步测量 (每天多次) 和睡眠 (每天一次).
- 现有的动态模型与这些数据频率差异作斗争,并且经常假定静止,这可能不反映现实.
研究的目的:
- 引入一种新的动态结构方程模型 (SEM),旨在处理异步测量变量.
- 分析瞬间影响和日常睡眠质量之间的相互关系.
- 为了纳入影响睡眠关系中的个体差异.
主要方法:
- 开发一个动态结构方程模型 (SEM).
- 该模型容纳了以不同的频率 (瞬间与每日) 测量的变量.
- 纳入静态性假设和个体差异.
主要成果:
- 提议的动态SEM有效地模拟了瞬间影响和日常睡眠质量之间的相互关系.
- 该模型成功地解决了异步数据和静止性假设的挑战.
- 通过使用积极和消极影响的经验实例证明了实际适用性.
结论:
- 引入的动态SEM提供了一个灵活的框架,用于分析具有不同测量频率的复杂心理数据.
- 这种模型为研究人员提供了一个工具,以更好地了解睡眠和情感之间的相互作用.
- 该框架可以适应其他异步测量的变量和研究问题.
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