从组合数据分析角度分析心理幸福感:一种新方法
María Cortés-Rodríguez1,2,3, Purificación Galindo-Villardón1,4,5, Mercedes Sánchez-Barba1,2
1Department of Statistics, University of Salamanca, 37008 Salamanca, Spain.
Behavioral sciences (Basel, Switzerland)
|November 24, 2023
概括
本研究引入了组合数据分析,以测量心理福祉比例. 新的指标揭示了福利维度之间的平衡,为更丰富的解释.
科学领域:
- 心理学 心理学 心理学
- 数据分析 数据分析
背景情况:
- 心理健康是研究的一个关键领域.
- 卡罗尔·赖夫 (Carol Ryff) 的心理幸福度表 (SPWB) 测量了六个维度.
- 传统的解释依赖于每个维度的原始分数.
研究的目的:
- 为了增强心理健康 (PWB) 评分解释.
- 将组合数据分析 (CDA) 纳入PWB评估中.
- 分析PWB内部的维度间平衡和相互作用.
主要方法:
- 在SPWB数据上应用组合数据分析.
- 引入了位置比率 (PR1,PR2) 和主观心理健康的一般指标 (GISPW).
- 利用了来自628名大学生的数据.
主要成果:
- GISPW,PR1和PR2提供了对PWB的组成见解.
- 这些指标提供了有关PWB维度平衡的相关信息.
- 新方法丰富了SPWB结果的解释.
结论:
- 组合数据分析为心理健康提供了一个新的视角.
- 在GISPW和位置比增强对PWB维度平衡的理解.
- 这种方法提供了对PWB评估的更细致的解释.
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