University of Georgia, Athens, USA.
Purdue University, West Lafayette, IN, USA.
Assessment. 2024 Jun;31(4):863-874. doi: 10.1177/10731911231190097. Epub 2023 Aug 7.
The "Dark" Triad (DT) refers to three personality constructs with ties to socially aversive behaviors: psychopathy, narcissism, and Machiavellianism. These constructs are commonly assessed via omnibus self-report inventories such as the Short Dark Triad (SD3) or the Dirty Dozen. Alternatively, researchers wishing to measure "dark" traits can compile stand-alone measures of each construct. Recently, the Five Factor Model Antagonistic Triad Measure (FFM ATM) was developed, which measures the DT from the perspective of the widely used Five Factor Model of personality. Initial validation studies indicated that the FFM ATM addresses common concerns with other omnibus inventories (e.g., allows for multifaceted examination of DT constructs). The current study tested the FFM ATM in relation to these other methods of measuring the DT (i.e., omnibus inventories and combinations of single-construct measures). Across three tests of validity (i.e., nomological network analysis, intraclass correlations, and incremental validity analyses), the FFM ATM showed favorable results and outperformed other measures of the DT.
“暗黑三因素”（Dark Triad，DT）是指与社会厌恶行为有关的三种人格结构：病态人格、自恋和马基雅维利主义。这些结构通常通过综合性的自我报告量表进行评估，如短暗黑三因素量表（Short Dark Triad，SD3）或肮脏十二因素量表（Dirty Dozen）。或者，研究人员如果希望测量“暗黑”特质，可以编制每个结构的独立测量工具。最近，五因素模型敌对三联体测量（Five Factor Model Antagonistic Triad Measure，FFM ATM）被开发出来，它从广泛使用的人格五因素模型的角度来衡量 DT。初步验证研究表明，FFM ATM 解决了其他综合性量表的常见问题（例如，允许从多个方面检查 DT 结构）。本研究检验了 FFM ATM 与其他衡量 DT 的方法（即综合性量表和单个结构测量工具的组合）之间的关系。在三项有效性测试（即关联网络分析、组内相关系数和增量有效性分析）中，FFM ATM 表现出良好的结果，并优于 DT 的其他衡量方法。
