一个网络分析方法解离:从临床数据的新见解
Philipp Wülfing1, Carsten Spitzer1
1Department of Psychosomatic Medicine and Psychotherapy, University Medical Center, Rostock Germany.
概括
这项研究使用探索图分析 (EGA) 来检查解离的维度. 这些发现揭示了离散的三个核心维度:分离的过程,脱现/脱人格化和吸收.
科学领域:
- 心理学 心理学 心理学
- 心理病理学 心理病理学
- 量化心理学 量化心理学
背景情况:
- 分离是一种跨诊断的构造,其维度不清楚.
- 之前对离散体验量表 (DES) 的因素分析产生了不一致的结果.
- 对解离的统一概念化仍然是难以捉摸的.
研究的目的:
- 通过探索性图形分析 (EGA) 研究解离的维度.
- 改进分离体验量表 (DES) 的结构.
- 在临床样本中确定分离体验的稳定维度.
主要方法:
- 在28项分离体验量表 (DES) 上使用探索图形分析 (EGA).
- 利用668名接受心理治疗的日间医院患者的样本.
- 应用了启动程序以确保确定尺寸的稳定性.
主要成果:
- 最初的EGA建议采用四要素结构,但结构一致性较低.
- 在物品精细化后,一个稳定的三维结构出现了.
- 确定的三个维度是分离的过程,去实现/去个性化和吸收.
结论:
- 该研究使用EGA确定了一个强大的三维结构用于解离.
- 这种结构符合两方分离模式 (分离和分隔).
- 这些发现提供了对分离体验的更精细的理解.
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