一个多模式面板数据集,以了解大流行病的心理影响
Isabelle van der Vegt1, Bennett Kleinberg2,3
1Utrecht University, Department of Sociology, Utrecht University, 3584 CH, Utrecht, The Netherlands. i.w.j.vandervegt@uu.nl.
Scientific data
|August 11, 2023
概括
COVID-19 疫情对全球心理健康产生了重大影响. 现实世界焦虑波数据集 (RW3D) 提供了一个独特的资源,将文本,调查和人口统计数据结合起来,以研究这些随时间推移的心理影响.
科学领域:
- 心理学 心理学 心理学
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 在全球范围内,COVID-19疫情造成了广泛的心理痛苦.
- 了解长期心理健康影响需要强大的数据资源.
研究的目的:
- 介绍现实世界忧虑波数据集 (RW3D).
- 提供RW3D的数据收集,变量和参与者人口统计的全面概述.
- 突出数据集的潜力,用于对大流行病心理影响的新型研究.
主要方法:
- 在英国从2020年到2022年收集的纵向数据.
- 结合了开放式的自由文本回复与有关情绪,生活事件和压力因素的调查数据.
- 包括具有大量参与者的重复措施设计 (2020: n=2441,2021: n=1716,2022: n=1152).
主要成果:
- RW3D集成了各种数据模式:自由文本,心理调查和人口统计数据.
- 分析揭示了更高层次的心理和文本衍生变量.
- 数据集捕捉了三年来不断变化的心理反应.
结论:
- RW3D是一个有价值的初级数据资源,用于研究大流行病的心理后果.
- 它使研究能够随着时间的推移连接多种数据类型.
- 促进在COVID-19大流行期间和之后对心理健康的新研究问题.
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