评估脆弱和敌对的特征使用五因素模型的措施
Bruno Bonfá-Araujo1, Leigha Rose2, Joshua D Miller2
1Department of Psychology, The University of Western Ontario, Canada.
Journal of personality assessment
|January 28, 2026
概括
五因素模型对抗性三合一措施 (FFM ATM) 有效地评估黑暗三合一的特征和脆弱的自恋. 然而,它需要补充边缘性人格障碍 (BPD) 措施来全面预测BPD特征.
科学领域:
- 心理学 心理学 心理学
- 人格科学 人格科学 人格科学
- 临床心理学 临床心理学
背景情况:
- 黑暗三位一体 (自恋,马基雅维利主义,精神病) 描述了社会厌恶的性格特征.
- 这些特征的脆弱和传统表现需要细微的评估.
- 五因素模式对抗三元措施 (FFM ATM) 旨在捕捉这些维度.
研究的目的:
- 评估五因素模型对抗性三合一措施 (FFM ATM) 捕捉传统和脆弱的黑暗三合一特征的能力.
- 评估FFM ATM关于边界性人格障碍 (BPD) 特征的预测有效性.
- 探索FFM ATM的因素结构及其与BPD的关系.
主要方法:
- 326名大学生 (18-24岁) 的样本完成了FFM ATM,五因素边境库存-超级简单表格 (FFBI-SSF) 和其他相关的个性测量.
- 统计分析包括差异计算,增量有效性测试和探索性因子分析.
主要成果:
- FFM ATM解释了传统的黑暗三位一体特征,二次精神病症和脆弱的自恋主义的显著差异.
- 在预测边缘性人格障碍 (BPD) 特征方面,FFM ATM 的成功率较低.
- 用FFBI-SSF项目补充FFM ATM,改善了BPD特征预测,并揭示了明显的BPD类因素.
结论:
- FFM ATM提供了一个简洁的框架,用于评估敌对和脆弱的黑暗三合一特征.
- 额外的措施,如FFBI-SSF,有利于对BPD特征进行更全面的评估.
- 这些发现突出了FFM ATM在人格评估中的实用性和局限性.
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