Insecure attachment and lower preference for romantic relationship nostalgia predict higher acceptance of infidelity

心理学 浪漫 社会心理学 偏爱 依恋理论 提交 感觉 质量(理念) 发展心理学 精神分析 计算机科学 数据库 认识论 哲学 经济 微观经济学
作者
Julie A. Swets,Cathy R. Cox
出处
期刊:Personality and Individual Differences [Elsevier BV]
卷期号:203: 112006-112006 被引量:5
标识
DOI:10.1016/j.paid.2022.112006
摘要

Recent research on relationship nostalgia, a sentimental longing for the past of one's romantic relationship, has shown to improve commitment, which should protect against infidelity intentions. However, previous research has shown that more insecurely attached persons do not reap the same benefits from the emotion of nostalgia. The current work introduced the concept of relationship nostalgia preference (i.e., the extent to which people would like displays of nostalgia from their romantic partners [e.g., feeling safe and secure like in earlier parts of the relationship]). In Study 1, nostalgia preference's associations with attachment style and relationship quality (satisfaction, etc.) were tested, revealing negative correlations with attachment avoidance and positive correlations with relationship quality. In Study 2, a conditional process model exhibited how avoidant attachment predicted lower nostalgia preference (replicating Study 1), which was related to reduced commitment. Commitment reduction, in turn, predicted higher attitudes toward infidelity and intentions to commit infidelity. Overall, when people are more avoidantly attached, they like relationship nostalgia less, which has downstream negative consequences for their partnerships.

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
汉堡包应助一一采纳,获得10
1秒前
likhd发布了新的文献求助10
1秒前
2秒前
aimeng发布了新的文献求助10
3秒前
沉静台灯发布了新的文献求助10
3秒前
4秒前
叶郅晟完成签到,获得积分10
4秒前
tyr111发布了新的文献求助10
4秒前
小蘑菇应助LG采纳,获得10
4秒前
大模型应助Calvin采纳,获得10
4秒前
5秒前
Owen应助曼曼采纳,获得10
5秒前
5秒前
梅代匕花发布了新的文献求助10
5秒前
慕青应助DDDD采纳,获得10
5秒前
6秒前
Kao应助shiwu采纳,获得10
7秒前
Kao应助shiwu采纳,获得10
7秒前
likhd完成签到,获得积分10
8秒前
9秒前
霁昕发布了新的文献求助10
9秒前
标致乐双完成签到 ,获得积分10
9秒前
瘦瘦秋莲完成签到,获得积分10
9秒前
猪宝pupu应助assdd采纳,获得10
10秒前
zxcvb完成签到,获得积分10
10秒前
10秒前
小蘑菇应助tang采纳,获得10
10秒前
科研小白Z发布了新的文献求助10
10秒前
11秒前
12秒前
cdercder应助卡瓦丽咔采纳,获得10
12秒前
烂漫世德完成签到 ,获得积分10
12秒前
13秒前
zhu完成签到,获得积分10
13秒前
wqm应助耍酷的蚂蚁采纳,获得10
13秒前
14秒前
希望天下0贩的0应助laura采纳,获得30
15秒前
15秒前
香蕉觅云应助佳佳nature采纳,获得10
15秒前
老实的从菡应助魔幻海豚采纳,获得10
16秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 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
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 7251665
求助须知:如何正确求助?哪些是违规求助? 8874175
关于积分的说明 18731082
捐赠科研通 6931555
什么是DOI,文献DOI怎么找? 3199526
关于科研通互助平台的介绍 2374331
邀请新用户注册赠送积分活动 2174074