Measuring the "Dark" Triad: Comparing the Five-Factor Model Antagonistic Triad Measure to Other Commonly Used Self-Report Instruments.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
ACS Applied Electronic Materials Pub Date : 2024-06-01 Epub Date: 2023-08-07 DOI:10.1177/10731911231190097
Leigha Rose, Donald R Lynam, Joshua D Miller
{"title":"Measuring the \"Dark\" Triad: Comparing the Five-Factor Model Antagonistic Triad Measure to Other Commonly Used Self-Report Instruments.","authors":"Leigha Rose, Donald R Lynam, Joshua D Miller","doi":"10.1177/10731911231190097","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/10731911231190097","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/7 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

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.

测量 "黑暗 "三合会:五因素模型对抗性三元组测量法与其他常用自我报告工具的比较。
黑暗 "三联征(DT)是指与社会厌恶行为有关的三种人格结构:变态心理、自恋和马基雅维利主义。这些构型通常通过综合自我报告清单进行评估,如短期黑暗三联征(SD3)或 "肮脏一打"(Dirty Dozen)。另外,希望测量 "黑暗 "特质的研究人员也可以对每种特质进行独立测量。最近,五因素模型对抗性三元组测量(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测量 DT。初步验证研究表明,五因素模型对抗性三元组测量法解决了其他综合问卷普遍存在的问题(例如,允许对 DT 构建进行多方面的考察)。目前的研究测试了 FFM ATM 与其他 DT 测量方法(即综合问卷和单一结构测量组合)的相关性。在三项有效性测试(即提名网络分析、类内相关性和增量有效性分析)中,FFM ATM 显示出良好的结果,并优于其他 DT 测量方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信