情绪不稳定性的统计概念化:一个系统的审查
Iona Cairns1, Kim Wright1, Gordon Taylor2
1Department of Psychology, Faculty of Health and Life Sciences, University of Exeter, Washington Singer Labs, Perry Road, Exeter EX4 4QG, UK.
Brain sciences
|October 29, 2025
概括
研究人员使用经验采样方法 (ESM) 审查了实时情绪不稳定性评估的统计方法. 建议将这些方法标准化,以改善情绪障碍的临床结果.
科学领域:
- 精神病学是一个精神病学.
- 心理学 心理学 心理学
- 数据科学数据科学数据科学
背景情况:
- 情绪不稳定是精神病的关键特征.
- 目前用于实时情绪不稳定性计算的方法缺乏清晰度.
- 经验采样方法 (ESM) 越来越多地用于情绪数据收集.
研究的目的:
- 系统地审查ESM对情绪不稳定性的研究中使用的统计方法.
- 识别和分类使用的各种统计方法.
- 为标准化情绪不稳定性评估提供基础.
主要方法:
- 使用ESM获取情绪数据的研究的系统文献综述.
- 使用的所有统计方法的识别和表格化.
- 分析方法频率和并发情况.
主要成果:
- 在229篇论文中确定了15种不同的统计方法,使用了319次.
- 超过三分之一的研究 (33%) 使用多种统计方法.
- 17%的研究使用了不同的方法来研究特定的影响动态.
结论:
- 目前,各种各样的统计方法用于情绪不稳定性研究.
- 统计方法的标准化对于强大的未来研究至关重要.
- 标准化方法将提高对情绪障碍的理解和临床结果.
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