心理学
积极心理学
面子(社会学概念)
价值(数学)
幸福
认知心理学
社会心理学
心理治疗师
计算机科学
社会学
社会科学
机器学习
作者
Sean H. Merritt,Saeideh Heshmati,Zita Oravecz,Stewart I. Donaldson
出处
期刊:The Journal of Positive Psychology
日期:2023-05-08
卷期号:19 (3): 499-509
被引量:8
标识
DOI:10.1080/17439760.2023.2209538
摘要
ABSTRACTABSTRACTWhile positive psychology has been in development for more than 20 years, positive psychologists still face the challenge of finding optimal measurements of well-being. The PERMA framework provides a new understanding of well-being based on years of research. However, whether it adds value in terms of being distinct from the already established measures of Subjective Well-Being (SWB) has recently been under debate. Certain characteristics of PERMA make it unsuited for traditional factor analysis and data analysis techniques. In this paper, we argue that a network approach is more suitable for understanding the interrelated nature of PERMA components. We then show how the components of PERMA and SWB are distinct using exploratory graphical analysis. Our results show that while PERMA predicts SWB, PERMA provides us a more nuanced way to understand the interrelated antecedents of well-being, which we refer to as the web of well-being.KEYWORDS: PERMAsubjective well-beingwell-beingpsychometricsnetwork analysisexploratory graph analysis Disclosure statementNo potential conflict of interest was reported by the author(s).Data availabilityThe data is made publically available at: https://doi.org/10.1080/17439760.2023.2209538Open Scholarship This article has earned the Center for Open Science badges for Open Data and Open Materials through Open Practices Disclosure. The data and materials are openly accessible at https://doi.org/10.1080/17439760.2023.2209538
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