通过网络分析绘制弹性:应对逆境并继续前进
Erik van der Meulen1, Krzysztof Kaniasty2
1Academy of Healthcare and Social Studies, NHL Stenden University of Applied Sciences.
概括
弹性源于相互连接的个人,社区和社会资源,而不仅仅是个人特征. 这项研究支持生态弹性模型,显示动态,多层次系统在COVID-19流行病等具有挑战性的时期促进适应.
科学领域:
- 心理学 心理学 心理学
- 社会学 社会学 社会学
- 公共卫生 公共卫生
背景情况:
- 生态弹性模型认为,弹性来自于多层次的资源系统.
- 了解个人,社区和社会因素的相互作用对于在COVID-19流行病等危机期间适应至关重要.
研究的目的:
- 检查个人,社区和社会资源如何相互连接以维持弹性结果.
- 在COVID-19大流行期间,从心理困扰和主观福祉方面调查性.
- 测试生态弹性模型的框架,以了解适应性功能.
主要方法:
- 心理学网络分析应用于两个数据波.
- 数据包括弹性结果,个人优势,社区/社会资源和生活经验的指标.
- 网络稳定性和集群/路径的诱导性分析被用来解释弹性结构.
主要成果:
- 网络在数据波中显示出稳定的组织.
- 心理健康挑战和福祉是中心节点.
- 心理力量,社会联系,社区归属和生活经验的集群形成了周围的结构.
结论:
- 研究结果在经验上支持了生态弹性模型.
- 适应性功能源于个人,社区和社会背景的相互作用.
- 弹性是一种动态的,多层次的过程,由相互连接的资源系统维持,而不是孤立的属性.
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