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!

Social identification with animals: Unpacking our psychological connection with other animals.

心理学 社会心理学 骄傲 鉴定(生物学) 感觉 归属 动物福利 团结 构造(python库) 感知 发展心理学 政治 生物 植物 神经科学 程序设计语言 法学 计算机科学 生态学 政治学
作者
Catherine E. Amiot,Ksenia Sukhanova,Brock Bastian
出处
期刊:Journal of Personality and Social Psychology [American Psychological Association]
卷期号:118 (5): 991-1017 被引量:57
标识
DOI:10.1037/pspi0000199
摘要

Our relations with other animals are ubiquitous in human life, yet the psychological structure of our connection with animals is just beginning to receive empirical attention. Drawing on theories of social identification and intergroup relations, we investigate the various ways that people identify with animals. Across 7 studies, we introduce the Identification with Animals Measure (IWAM) and uncover 3 dimensions by which humans identify with animals as a group: solidarity with animals, animal pride, and human-animal similarity. First, we establish the reliability, factorial structure, and predictive validity of the 3-factor IWAM. Next, we find that these factors predict a distinct set of attitudes and behaviors toward animals. Solidarity with animals is defined by feeling connected to other animals and is associated with more contact with animals (i.e., pets) and a greater desire to help animals and to engage in collective actions on their behalf, even if this implies withdrawing privileges to humans. Human-animal similarity is defined by the perception that animals share similarities with humans; this dimension is associated with increased moral concern for their welfare and a greater attribution of typically human traits to other animals. Finally, animal pride is defined by a direct recognition and positive endorsement of the social category that includes all animals, and is associated with viewing humans as more animal-like, and with more competitive and instrumental intergroup relations. The findings confirm that identification with animals is a multidimensional construct that is colored by the unique and complex nature of our relations with nonhuman animals. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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
3秒前
薄荷水完成签到,获得积分10
3秒前
xaaowang完成签到,获得积分10
3秒前
3秒前
丘比特应助科研通管家采纳,获得10
4秒前
wanci应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
wanci应助科研通管家采纳,获得10
4秒前
ding应助科研通管家采纳,获得30
4秒前
Rondab应助科研通管家采纳,获得50
4秒前
充电宝应助科研通管家采纳,获得10
4秒前
5秒前
所所应助yang采纳,获得10
5秒前
Jasper应助果果爱吃肉采纳,获得10
6秒前
6秒前
顾矜应助Mh采纳,获得10
7秒前
8秒前
8秒前
张梅娟发布了新的文献求助10
9秒前
玻璃杯完成签到 ,获得积分10
10秒前
Laurel发布了新的文献求助10
11秒前
11秒前
13秒前
15秒前
li完成签到,获得积分10
15秒前
15秒前
15秒前
希望天下0贩的0应助小暴采纳,获得10
16秒前
星辰大海应助nanmu采纳,获得10
16秒前
猪幺妖发布了新的文献求助30
17秒前
Lmad完成签到,获得积分10
17秒前
17秒前
18秒前
conch完成签到,获得积分10
19秒前
Lilor完成签到 ,获得积分10
19秒前
BIBIYU完成签到,获得积分10
19秒前
打打应助鲤鱼含玉采纳,获得10
20秒前
21秒前
完美世界应助熊风采纳,获得30
21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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Digital Displacement Hydrostatic Transmission for Rotorcraft and Distributed Propulsion 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 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 7710991
求助须知:如何正确求助?哪些是违规求助? 9267508
关于积分的说明 20066295
捐赠科研通 7287313
什么是DOI,文献DOI怎么找? 3297126
关于科研通互助平台的介绍 2451592
邀请新用户注册赠送积分活动 2304165