已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

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
嘟嘟大魔王完成签到,获得积分10
刚刚
淡定的凡蕾完成签到,获得积分10
3秒前
3秒前
4秒前
4秒前
典雅巧凡完成签到 ,获得积分10
5秒前
wanci应助XL采纳,获得10
7秒前
情怀应助整齐哑铃采纳,获得10
7秒前
8秒前
April_550完成签到 ,获得积分10
9秒前
莫三颜发布了新的文献求助10
10秒前
科目三应助义气尔蓝采纳,获得10
10秒前
小二郎应助义气尔蓝采纳,获得10
10秒前
lingmuhuahua发布了新的文献求助10
11秒前
sunshuo完成签到,获得积分10
15秒前
科研通AI6.2应助吞吞采纳,获得10
15秒前
15秒前
18秒前
初景发布了新的文献求助10
18秒前
Owen应助haotianli采纳,获得10
18秒前
可爱的函函应助莫三颜采纳,获得10
18秒前
18秒前
19秒前
lingmuhuahua完成签到,获得积分10
19秒前
22秒前
星辰大海应助liudy采纳,获得10
23秒前
果汁儿发布了新的文献求助10
25秒前
hsa_ID发布了新的社区帖子
25秒前
26秒前
QQqiu完成签到,获得积分10
28秒前
昵称发布了新的文献求助10
28秒前
28秒前
29秒前
sunshuo发布了新的文献求助10
30秒前
yzhyzhyzh111完成签到 ,获得积分10
31秒前
33秒前
33秒前
34秒前
34秒前
liudy完成签到,获得积分10
35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
Developing Genetic Editing Tools for Lysobacter 2000
Adhesion Science: Principles & Practice 800
The Graphene Handbook (2019 Edition) 700
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
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 6528531
求助须知:如何正确求助?哪些是违规求助? 8321603
关于积分的说明 17815013
捐赠科研通 5630207
什么是DOI,文献DOI怎么找? 2930835
邀请新用户注册赠送积分活动 1907542
关于科研通互助平台的介绍 1766866