当前位置: X-MOL 学术J. Happiness Stud. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Networks of happiness: applying a Network Approach to Well-Being in the General Population
Journal of Happiness Studies ( IF 4.087 ) Pub Date : 2022-06-09 , DOI: 10.1007/s10902-022-00546-x
Marianne van Woerkom , Mihai Constantin , Mayke Janssens , Jennifer Reijnders , Nele Jacobs , Johan Lataster

Even though well-being can be seen as a multidimensional construct, made up of a variety of interacting aspects, most studies examine total scores on well-being measures, treating well-being as a latent variable. This so-called common cause perspective assumes that aspects of well-being are mere effects of a common cause, namely well-being itself. The network approach moves away from this approach by suggesting that research should no longer focus only on the mean level of psychological constructs, but on the relations between the different aspects of a construct over time. Instead of a static, common cause approach to well-being, the network perspective views thoughts and feelings not as reflections but as constituents of well-being, treating them as agents in a causal system instead of passive indicators. In this paper, we applied the network approach to investigate how fluctuations in specific symptoms of well-being are associated with fluctuations in other symptoms of well-being. Based on a sample of 151 working adults with on average 32.66 data points collected over a five-day period, we found that in general, the low arousal emotion of feeling satisfied played a central role in the dynamics between various aspects of well-being in the momentary context of daily life. This means that feeling satisfied cannot just be seen as a passive indicator of well-being, but also as an active agent in a causal system that brings about other aspects of well-being. These results provide insight into daily dynamic processes related to the development of well-being over time and contribute to our understanding of well-being and how to improve it.



中文翻译:

幸福网络:将网络方法应用于普通人群的幸福感

尽管幸福感可以被视为一个多维结构,由各种相互作用的方面组成,但大多数研究检查幸福感测量的总分,将幸福感视为一个潜在变量。这种所谓的共同原因观点假设幸福的各个方面仅仅是共同原因的结果,即幸福本身。网络方法远离这种方法,建议研究不再只关注心理构念的平均水平,而应该关注构念不同方面之间的关系。与一种静态的、共同原因的幸福感不同,网络视角将思想和感受视为幸福的组成部分,而不是反映,将它们视为因果系统中的代理而不是被动指标。在本文中,我们应用网络方法来研究特定幸福症状的波动如何与其他幸福症状的波动相关联。基于 151 名在职成年人的样本,在 5 天内平均收集了 32.66 个数据点,我们发现,总体而言,满足感的低唤醒情绪在幸福感各个方面之间的动态关系中起着核心作用。日常生活的瞬间背景。这意味着满足感不能仅仅被视为幸福的被动指标,而且还可以被视为导致幸福其他方面的因果系统中的主动因素。这些结果提供了对与幸福感随时间发展相关的日常动态过程的洞察,并有助于我们对幸福感以及如何改善幸福感的理解。

更新日期:2022-06-10
down
wechat
bug