测量"黑暗"三元组:比较五因素模型对立三元组测量与其他常用的自我报告工具
Leigha Rose1, Donald R Lynam2, Joshua D Miller1
1University of Georgia, Athens, USA.
Assessment
|August 7, 2023
概括
五因素模型对抗性三合体测量 (FFM ATM) 有效地评估了黑暗三合体 (DT) 的个性特征. 这项新措施在有效性测试中表现优于现有的库存.
科学领域:
- 心理学 心理学 心理学
- 人格心理学 人格心理学
- 社会心理学 社会心理学
背景情况:
- 黑暗三位一体 (DT) 包括精神病,自恋和马基雅维利主义,与社会厌恶行为有关.
- 现有的措施,如短黑暗三元组 (SD3) 和脏的十二人是常见的,但可能有局限性.
- 五因素模型对抗性三合一措施 (FFM ATM) 从五因素模型的角度提供了一种新的方法.
研究的目的:
- 为了验证FFMATM与已建立的测量黑暗三位一体的方法进行验证.
- 评估FFM ATM的心理测量特性和在人格研究中的实用性.
主要方法:
- 该研究使用了名学网络分析,类内相关性和增量有效性分析.
- 将FFM ATM与全方位库存 (例如SD3) 和单构建措施的组合进行了比较.
- 为了评估测量性能,进行了三个不同的有效性测试.
主要成果:
- 在所有三个有效性测试中,FFM ATM 显示出了有利的结果.
- 在有效性方面,FFM ATM的表现优于黑暗三位一体的其他措施.
- 有证据支持FFM ATM能够捕捉DT构造的多方面的能力.
结论:
- FFM ATM 是一个强大的和有效的衡量 Dark Triad 的措施.
- 研究人员可以自信地使用FFM ATM作为DT评估的替代或优质方法.
- 在五因素模型框架内,FFM ATM为多面性人格特征的检查提供了有价值的工具.
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