Social Networks and Relationship Stability

斯坦福大学社会网络和关系稳定性美国的婚姻和家庭生活在过去的50年里经历了重大的变化。除了美国人现在结婚比以往任何时候都晚之外，年轻的成年人现在有一个更复杂的过程，包括远离家庭和大学的生活安排。与其他发达国家相比，美国夫妇的离婚率更高，夫妻稳定性更低。 对这项研究来说最重要的是，通过传统的个人网络（例如，家庭、社区、工作）。这个项目解决了以下基本问题：（1）关系是否同样可能持续下去，不管它们是在什么样的背景下发展的？ (2)个人因素、个人网络和社会环境如何影响关系持续的可能性？ 之前的一项研究收集了关于夫妻如何相遇的全国代表性调查数据（美国成年人）。本文提出的后续研究将确定以前访问的夫妇是否一直在一起，并确定影响关系稳定的因素。家庭和关系的稳定性是公众、学者和政策制定者非常感兴趣的话题。 这项研究的结果可以帮助我们了解塑造夫妇解散趋势的个人和背景因素。这是一个在公共讨论中有相当多辩论的主题，但以前没有足够的数据。 该项目还将通过斯坦福大学网站提供一个更新的可供其他研究人员查阅的数据集;它可用于培训本科生和研究生掌握调查方法和数据分析。

SES-1153867Michael RosenfeldStanford UniversityAbstractSocial Networks and Relationship Stability Marriage and family life in the United States have undergone significant changes in the past 50 years. In addition to the fact that Americans are now marrying later than ever before, young adulthood is now marked by a more complex process that includes living arrangements away from family and college. Compared to other developed countries, American couples also have higher divorce rates and less couple stability. Most important for this study, fewer relationships are formed via traditional personal networks (e.g., family, community, work). This project addresses the following fundamental questions: (1) Are relationships equally likely to last, regardless of the context in which they evolved? (2) How do individual factors, as well as personal networks and the social context shape the odds that relationships last? A previous study gathered nationally representative survey data (of U.S. adults) on how couples meet. The follow-up study proposed here will determine whether the couples previously interviewed have stayed together, and determine the factors influencing relationship stability. Broader ImpactsFamily and relationship stability is a topic of great interest to the general public, scholars, and policy makers. Findings derived from this study could help us understand the individual and contextual factors that shape trends regarding couple dissolution. This is a subject of considerable debate in public discourse, but for which there has previously been insufficient data. The project also will also result in an updated publically available dataset accessible to other researchers via the Stanford University website; it can been used to train undergraduate and graduate students in survey methods and data analysis.