Emotional intelligence and the dark triad: A meta-analysis

马基雅维利主义 黑暗三和弦 心理学 自恋 精神病 情商 人格 五大性格特征 特质 发展心理学 集合(抽象数据类型) 社会心理学 程序设计语言 计算机科学
作者
Moritz Michels,Reiner Schulze
出处
期刊:Personality and Individual Differences [Elsevier BV]
卷期号:180: 110961-110961 被引量:14
标识
DOI:10.1016/j.paid.2021.110961
摘要

The dark triad is commonly conceived of three subclinical socially aversive and exploitative personality traits: psychopathy, machiavellianism, and narcissism. These traits have been linked to certain abilities that may facilitate the attainment of goals in social interactions, one of which may be emotional intelligence. Emotional intelligence encompasses the abilities to perceive emotions correctly, to understand the regularities of emotional functioning, and to regulate one's own and others' emotions. However, it has alternatively also been conceptualized as a set of emotion-related personality characteristics assessed with self-reports (Trait emotional intelligence). The aim of this study was to examine the possible relationships between the dark triad and emotional intelligence. A meta-analysis with a total of 109 effect sizes (6 ≤ ks ≤ 30) culled from 71 studies was conducted. Of the resulting six most relevant combined effect sizes (1561 ≤ Ns ≤ 8127), five were small and negative (−.23 ≤ r¯s ≤ −.13). Only the correlation between narcissism and emotion-related personality characteristics was small and positive (r¯ = .15). In total, the results indicate that the dark triad constructs are only weakly related to emotion-related traits, either conceptualized as abilities or personality characteristics.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
passerby发布了新的文献求助10
3秒前
3秒前
善学以致用应助yy_z4采纳,获得10
3秒前
Trueman发布了新的文献求助10
4秒前
Semy应助来自尽头的羊采纳,获得10
4秒前
香蕉乐荷完成签到,获得积分10
5秒前
6秒前
陶醉之玉完成签到,获得积分10
6秒前
7秒前
Trueman完成签到,获得积分10
8秒前
11秒前
11秒前
研友_VZG7GZ应助好卉采纳,获得10
11秒前
无花果应助汤泽琪采纳,获得10
12秒前
阿坤发布了新的文献求助10
13秒前
小蘑菇应助shi采纳,获得10
14秒前
passerby完成签到,获得积分10
15秒前
hhhhhjn发布了新的文献求助10
16秒前
忧伤的二锅头完成签到 ,获得积分10
19秒前
Orange应助科研通管家采纳,获得10
19秒前
深情安青应助科研通管家采纳,获得10
19秒前
19秒前
orixero应助科研通管家采纳,获得10
19秒前
彭于晏应助科研通管家采纳,获得10
19秒前
罩鄞完成签到 ,获得积分10
19秒前
19秒前
Zxx应助科研通管家采纳,获得10
20秒前
20秒前
李健应助科研通管家采纳,获得10
20秒前
初雪应助科研通管家采纳,获得10
20秒前
CodeCraft应助科研通管家采纳,获得10
20秒前
英姑应助科研通管家采纳,获得20
20秒前
wanci应助科研通管家采纳,获得10
20秒前
20秒前
20秒前
20秒前
英姑应助科研通管家采纳,获得30
20秒前
英姑应助科研通管家采纳,获得10
20秒前
所所应助科研通管家采纳,获得10
20秒前
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Superabsorbent Polymers: Synthesis, Properties and Applications 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6351764
求助须知:如何正确求助?哪些是违规求助? 8166299
关于积分的说明 17186102
捐赠科研通 5407850
什么是DOI,文献DOI怎么找? 2862982
邀请新用户注册赠送积分活动 1840543
关于科研通互助平台的介绍 1689612