Well-being in social interactions: Examining personality-situation dynamics in face-to-face and computer-mediated communication.

心理学 社会心理学 人格 社会关系 神经质 计算机辅助通信 五大性格特征 人际关系 面对面互动 结构方程建模 发展心理学 沟通 统计 互联网 万维网 计算机科学 数学
作者
Lara Kroencke,Gabriella M. Harari,Mitja D. Back,Jenny Wagner
出处
期刊:Journal of Personality and Social Psychology [American Psychological Association]
卷期号:124 (2): 437-460 被引量:70
标识
DOI:10.1037/pspp0000422
摘要

Decades of research show that people's social lives are linked to their well-being. Yet, research on the relationship between social interactions and well-being has been largely inconclusive with regard to the effects of person-situation interactions, such as the interplay between contextual factors (e.g., interactions occurring in physical vs. digital contexts, different interaction partners) and dispositional tendencies (e.g., Big Five personality traits). Here, we report on exploratory and confirmatory findings from three large studies of college students (Study 1: N = 1,360; Study 2: N = 851; Study 3: N = 864) who completed a total of 139,363 experience sampling surveys (reporting on 87,976 social interactions). We focus on the effects of different modes of communication (face-to-face [FtF] interactions, computer-mediated communication [CMC], and mixed episodes [FtF + CMC]), and types of interaction partners (close peers, family members, and weak ties). Using multilevel structural equation modeling, we found that FtF interactions and mixed episodes were associated with highest well-being on the within-person level, and that these effects were particularly pronounced for individuals with high levels of neuroticism. CMC was related to lower well-being than FtF interactions, but higher well-being than not socializing at all. Regarding the type of interaction partner, individuals reported higher well-being after interactions with close peers than after interactions with family members and weak ties, and the difference between close peers and weak ties was larger for FtF interactions than for CMC. We discuss these findings with regard to theories of person-situation interactions and research on well-being and social interactions. (PsycInfo Database Record (c) 2023 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
红红火火完成签到,获得积分10
刚刚
香蕉觅云应助fu采纳,获得10
刚刚
王圈发布了新的文献求助10
1秒前
ouxiao277完成签到,获得积分10
2秒前
2秒前
3秒前
小马甲应助Orianna采纳,获得10
3秒前
3秒前
windy7发布了新的文献求助10
3秒前
4秒前
wanci应助zzy采纳,获得10
4秒前
4秒前
科研通AI6.4应助哈哈哈采纳,获得10
4秒前
小法师完成签到,获得积分10
4秒前
5秒前
5秒前
5秒前
小小肖发布了新的文献求助10
5秒前
5秒前
5秒前
科研通AI6.1应助卜恸卜恸采纳,获得10
6秒前
FashionBoy应助红红火火采纳,获得10
6秒前
6秒前
啊哈哈哈哈哈哈哈完成签到,获得积分10
7秒前
Tzihin完成签到,获得积分10
7秒前
hcf20230826发布了新的文献求助30
7秒前
赘婿应助科研通管家采纳,获得10
7秒前
思源应助科研通管家采纳,获得10
7秒前
深情安青应助科研通管家采纳,获得10
7秒前
李爱国应助科研通管家采纳,获得10
7秒前
gali完成签到,获得积分10
7秒前
7秒前
丘比特应助科研通管家采纳,获得10
7秒前
junjun发布了新的文献求助10
7秒前
bkagyin应助科研通管家采纳,获得10
7秒前
米多多应助科研通管家采纳,获得100
8秒前
HongJiang发布了新的文献求助10
8秒前
田様应助科研通管家采纳,获得10
8秒前
8秒前
JamesPei应助科研通管家采纳,获得10
8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
Metallurgy at high pressures and high temperatures 2000
Tier 1 Checklists for Seismic Evaluation and Retrofit of Existing Buildings 1000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 1000
The Organic Chemistry of Biological Pathways Second Edition 1000
Free parameter models in liquid scintillation counting 1000
Signals, Systems, and Signal Processing 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 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 6331576
求助须知:如何正确求助?哪些是违规求助? 8148173
关于积分的说明 17100396
捐赠科研通 5387388
什么是DOI,文献DOI怎么找? 2856135
邀请新用户注册赠送积分活动 1833623
关于科研通互助平台的介绍 1684883