Happiest People Revisited

Author:

Diener Ed123,Seligman Martin E. P.4,Choi Hyewon2,Oishi Shigehiro2

Affiliation:

1. Department of Psychology, University of Utah

2. Department of Psychology, University of Virginia

3. The Gallup Organization, Omaha, Nebraska

4. Department of Psychology, University of Pennsylvania

Abstract

In a past Psychological Science article, Diener and Seligman (2002) explored the characteristics of extremely happy individuals and found that strong social relationships characterized the entire group. The study was popular, perhaps because the authors focused on the very happiest people, not merely on correlations across the entire spectrum of subjective well-being. In the current study, we replicated and extended the earlier paper here by examining, in a world sample, the differences between the happiest individuals and unhappy and averagely happy people. We largely replicated earlier findings; basic need fulfillment and social resources were two ingredients for high subjective well-being. Replicating and extending the earlier findings, we found that, compared with the averagely happy people, the happiest people were more likely to come from societies high in subjective well-being and social capital. To achieve very high happiness, it is helpful not only to have desirable personal circumstances, but also to live in a prosperous happy society with strong social support. As in the original study, although a few characteristics seemed virtually necessary for subjective well-being (SWB), no characteristic guaranteed it. We also uncovered variables separating the groups that might be outcomes of SWB, for example, helping others, exercising, and not smoking.

Publisher

SAGE Publications

Subject

General Psychology

Cited by 89 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3