Network Analysis of Dark Triad Traits and Emotional Intelligence in Peruvian Adults.

IF 2.8 3区 心理学 Q2 PSYCHOLOGY, CLINICAL Psychology Research and Behavior Management Pub Date : 2023-10-02 eCollection Date: 2023-01-01 DOI:10.2147/PRBM.S417541
Cristian Ramos-Vera, Dennis Calle, Yaquelin E Calizaya-Milla, Jacksaint Saintila
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引用次数: 1

Abstract

Background: The study of Dark Triad traits and emotional variables has been conducted in numerous regions; however, there is a lack of research focusing on Latin American samples and considering variables such as sex and age. Incorporating these variables could enhance our understanding of underlying aversive patterns.

Purpose: This study aimed to analyze the associations between Dark Triad traits and emotional intelligence in Peruvian adults.

Methods: Data were collected in 2021 and 272 adults (M=31.8 years, 68% female) participated through online surveys via non-probability purposive sampling. Dirty Dozen and Trait Meta-Mood Scales were used. Two partial correlation network models were applied between the study variables with and without controlling for gender and age. Bridge-expected influence and predictability analysis were calculated to find interconnected traits and higher connections, respectively.

Results: Subclinical psychopathy primarily showed negative associations with emotional clarity (r=-0.17), followed by emotional attention (r=-0.08) and emotional repair in networks with and without age and gender variables. Machiavellianism consistently displayed a negative association with emotional repair (r=-0.13) in both estimated networks. Conversely, subclinical narcissism exhibited a positive association solely with emotional attention (r=0.15). Furthermore, younger age was linked to higher Machiavellianism (r=-0.23), females showed higher emotional attention (r=0.11), and narcissism connected intrapersonal emotional domains with Dark Traits (bridge expected influence >1.25) while Machiavellianism exhibited greater predictability (r2>0.45) due to reinforcement by other Dark Traits.

Conclusion: This study revealed negative connections between the Dark Triad and emotional intelligence traits, except for narcissism, which was positively associated with emotional attention and functioned as a "bridge" between all traits. However, relying solely on this single positive emotional aspect of narcissism may not be adequate to characterize it as possessing fully adaptive emotional traits. Findings suggest that detailed aspects of emotional intelligence and sociodemographic factors can provide valuable insights into the complex nature of aversive patterns and their broader impact on society.

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秘鲁成年人黑暗三合会特征和情商的网络分析。
背景:对黑暗三合会特征和情绪变量的研究已经在许多地区进行;然而,缺乏关注拉丁美洲样本并考虑性别和年龄等变量的研究。结合这些变量可以增强我们对潜在厌恶模式的理解。目的:本研究旨在分析秘鲁成年人的黑暗三合会特征与情商之间的关系。方法:数据收集于2021年,272名成年人(M=31.8岁,68%为女性)通过非概率目的抽样的在线调查参与。使用Dirty Dozen和Trait元情绪量表。在控制和不控制性别和年龄的研究变量之间应用了两个偏相关网络模型。计算桥梁预期影响和可预测性分析,分别找到相互关联的特征和更高的联系。结果:在有或没有年龄和性别变量的网络中,亚临床精神病主要与情绪清晰度呈负相关(r=-0.17),其次是情绪注意力(r=-0.08)和情绪修复。在两个估计的网络中,马基雅维利主义始终与情绪修复呈负相关(r=-0.13)。相反,亚临床自恋仅与情绪注意力呈正相关(r=0.15)。此外,年龄越小,马基雅维利主义越高(r=-0.23),女性表现出越高的情绪注意力(r=0.11),自恋将内部情感领域与黑暗特质联系起来(桥梁预期影响>1.25),而马基雅维利主义由于其他黑暗特质的强化而表现出更大的可预测性(r2>0.45),它与情感注意呈正相关,并在所有特征之间起着“桥梁”的作用。然而,仅仅依靠自恋的这一积极情绪方面可能不足以将其描述为具有完全适应的情绪特征。研究结果表明,情商和社会人口统计因素的详细方面可以为厌恶模式的复杂性质及其对社会的更广泛影响提供有价值的见解。
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来源期刊
CiteScore
4.50
自引率
4.70%
发文量
341
审稿时长
16 weeks
期刊介绍: Psychology Research and Behavior Management is an international, peer-reviewed, open access journal focusing on the science of psychology and its application in behavior management to develop improved outcomes in the clinical, educational, sports and business arenas. Specific topics covered in the journal include: -Neuroscience, memory and decision making -Behavior modification and management -Clinical applications -Business and sports performance management -Social and developmental studies -Animal studies The journal welcomes submitted papers covering original research, clinical studies, surveys, reviews and evaluations, guidelines, expert opinion and commentary, case reports and extended reports.
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