Anger and Aggression: What People Want to Feel Matters

愤怒 侵略 心理学 特质 背景(考古学) 偏爱 联想(心理学) 社会心理学 毒物控制 临床心理学 发展心理学 心理治疗师 医学 古生物学 程序设计语言 微观经济学 经济 环境卫生 生物 计算机科学
作者
Carlo Garofalo,Foteini Spantidaki Kyriazi
出处
期刊:Journal of Aggression, Maltreatment & Trauma [Taylor & Francis]
卷期号:33 (10): 1228-1239 被引量:3
标识
DOI:10.1080/10926771.2024.2305761
摘要

Anger has long been of chief interest in theories of aggression, and existing empirical evidence shows that individual differences in trait anger – the dispositional tendency to experience anger more frequently and intensely – are positively related to aggressive behavior, with stronger effect sizes for reactive than proactive aggression. However, not all individuals who experience anger are also aggressive. In this context, emotion theories increasingly acknowledge the relevance of emotion goals (i.e. what people want to feel) for emotional experience, emotion regulation, and associated behavioral correlates. The present study investigated whether the emotion goal of anger (the extent to which people want to feel anger) moderated the association between trait anger and aggression in a Dutch community sample (N = 521; 59.9% women; Mage = 35.27, SD = 15.99). Results showed that trait anger and the emotion goal of anger were both positively related with reactive and proactive aggression. Trait anger was comparatively more strongly related to reactive aggression, and the emotion goal of anger was comparatively more strongly related to proactive aggression. The emotion goal of anger moderated the association between trait anger and proactive aggression, such that this association was stronger in individuals that reported that they wanted to experience anger to a greater extent. These findings suggest that both reactive and proactive aggression may be underlain by experience of and preference for anger. Further, they stress that individual differences in preference for the experience of anger may potentiate the anger-aggression link, with special relevance for proactive aggression.
最长约 10秒,即可获得该文献文件

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
Lotus完成签到,获得积分10
1秒前
1秒前
June完成签到,获得积分10
3秒前
Lotus发布了新的文献求助10
4秒前
Y30251320发布了新的文献求助10
4秒前
卡卡完成签到 ,获得积分10
5秒前
英俊的铭应助整齐笑旋采纳,获得10
6秒前
子车定帮完成签到,获得积分10
7秒前
请叫我女侠完成签到,获得积分10
7秒前
哑铃完成签到,获得积分10
9秒前
9秒前
ccc完成签到,获得积分10
10秒前
11秒前
nami完成签到,获得积分10
11秒前
OnceMoreee完成签到,获得积分10
11秒前
13秒前
wl完成签到,获得积分20
14秒前
科比布莱恩特三世完成签到,获得积分10
14秒前
Brave发布了新的文献求助10
18秒前
纯真的初夏完成签到,获得积分20
18秒前
zdy完成签到,获得积分10
19秒前
懦弱的易绿完成签到,获得积分10
20秒前
爱琏说完成签到,获得积分10
22秒前
田様应助王cc采纳,获得30
22秒前
荔枝励志完成签到 ,获得积分10
23秒前
23秒前
Yuuki完成签到,获得积分10
23秒前
小黑莓完成签到,获得积分10
24秒前
25秒前
香蕉觅云应助nanana采纳,获得10
28秒前
活泼的大船完成签到,获得积分10
28秒前
香菜发布了新的文献求助10
29秒前
29秒前
ZHG发布了新的文献求助10
30秒前
31秒前
张富贵完成签到,获得积分10
31秒前
呼呼完成签到,获得积分10
31秒前
悦耳的大炮完成签到,获得积分10
33秒前
34秒前
易晨初晓发布了新的文献求助10
34秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Bend stiffness of submarine cables – an experimental and numerical investigation 5000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7544248
求助须知:如何正确求助?哪些是违规求助? 9127958
关于积分的说明 19500295
捐赠科研通 7139216
什么是DOI,文献DOI怎么找? 3258673
关于科研通互助平台的介绍 2426013
邀请新用户注册赠送积分活动 2246869