在患有高心血管和2型糖尿病风险的患者中,使用10项感知压力尺度的网络心理测量,使用探索图分析
The Journal of cardiovascular nursing
|May 30, 2023
概括
这项研究使用了网络心理测量来分析心血管和糖尿病状况高风险患者的感知压力量表. 探索性图形分析揭示了一个二维结构,其中一个维度显示弱项稳定性和负载.
科学领域:
- 心理测量 心理测量 心理测量
- 网络分析 网络分析
- 健康心理学健康心理学
背景情况:
- 十项感知压力量表 (PSS-10) 被广泛使用,但其在高风险人群中的内部结构未得到充分研究.
- 患有高心血管和糖尿病风险的患者是压力评估的关键群体.
研究的目的:
- 在心血管和糖尿病风险较高的患者中研究PSS-10的维度和内部结构.
- 应用探索性图形分析 (EGA),一种网络心理测量技术,以评估尺度结构.
主要方法:
- 探索性图形分析 (EGA) 用于200名初级保健患者的数据.
- 一个EGA的引导版本使用结构一致性,项目稳定性和网络负载来评估维度稳定性.
主要成果:
- 在这组患者中,EGA确定了PSS-10的二维结构.
- 第一个维度呈现出高结构一致性 (0.863).
- 第二个维度显示结构一致性低 (0.667),项目显示稳定性差和网络负载较低.
结论:
- EGA为心理尺度的维度完整性提供了有价值的见解.
- 需要进一步的研究,以了解PSS-10在这个人群中的第二维的性质和影响.
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