一个网络分析黑暗三位一体特征与情绪功能领域之间的关联
Beata Grabovac1, Bojana M Dinić2, Aleksandar Tomašević3
1Department of Social Sciences and Humanities, Hungarian Language Teacher Training Faculty, University of Novi Sad, Subotica, Serbia.
概括
这项研究揭示了精神病变和自恋是理解情绪缺陷和差异的核心. 网络分析表明,这些黑暗三合一的特征显著影响了情绪智力和同情能力.
科学领域:
- 心理学 心理学 心理学
- 社会心理学 社会心理学
- 人格心理学 人格心理学
背景情况:
- 黑暗三位一体 (自恋,马基雅维利主义,精神病) 包含了社会上不受欢迎的个性特征.
- 情绪功能包括情绪智能和同理心,被研究为特征和能力.
- 以前的研究已经探索了黑暗三位一体与情感功能之间的联系,但网络结构仍然未被充分探索.
研究的目的:
- 调查黑暗三位一体特征与情绪运作的各个方面之间的关系的网络结构.
- 在这些心理构造的网络中识别中心组件和社区结构.
- 澄清精神病变,自恋和马基雅维利主义在情绪智力和同情心中的具体作用.
主要方法:
- 采用网络分析方法来绘制变量之间的相互关系.
- 使用了来自塞尔维亚 (匈牙利) 的359名参与者的样本.
- 分析了黑暗三位一体的特征,情感智力和同理心 (作为特征和能力).
主要成果:
- 确定了四个不同的社区:黑暗三位一体特征,情绪识别 (认知同情),情绪智力特征和同情/情绪评估 (以他人为中心的同情).
- 精神病症和自恋主义成为中心节点,将黑暗三位一体社区与情感运作的社区联系起来.
- 精神病症与情绪反应和积极情绪识别有负面关联,表明存在缺陷. 自恋显示出混合的结果,正面与使用情绪进行表现有关,但负面与识别负面状态有关.
结论:
- 精神病和自恋在网络中发挥着关键作用,突出了它们对情绪缺陷和能力差异的重大影响.
- 自恋的网络位置表明自我认知和客观情感识别技能之间存在潜在的脱节.
- 马基雅维利主义表现出较弱的关联,特别是与情感识别能力,这表明它在研究的情感功能领域的作用不那么完整.
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