Understanding How Personal Networks Change

了解个人网络如何变化

• 批准号: 8699630
• 负责人: Claude S. Fischer
• 金额: $ 74.07万
• 依托单位: UNIVERSITY OF CALIFORNIA BERKELEY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-15 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8699630
• 关键词: Accounting; Address; Affect; American; Area; Awareness; Cessation of life; Characteristics; Child; Data; Development; Dimensions; Education; Ego; Emotional; Employment; Evaluation; Event; Family; Family Sizes; FarGo; Friends; Future; Gender; Goals; Health; Health Status; Individual; Internet; Interview; Lead; Left; Life; Life Cycle Stages; Marriage; Measures; Mental Depression; Mental Health; Methodology; Morbidity - disease rate; Names; Occupations; Online Systems; Outcome; Pathway Analysis; Pattern; Personal Satisfaction; Personality; Persons; Physical shape; Population; Procedures; Psyche structure; Public Health; Public Policy; Publishing; Research; Research Personnel; Residential Mobility; Respondent; Retirement; Risk; Role; Sampling; Social Network; Social support; Sorting - Cell Movement; Structure; Survey Methodology; Surveys; Techniques; Testing; Time; United States; Variant; Woman; Work; age group; cohort; cost; design; innovation; instrument; men; physical conditioning; psychologic; public health relevance; reconstruction; research study; social; trait; trend

DESCRIPTION (provided by applicant): It is known that individuals' personal networks significantly affect their physical and mental well-being. Yet much less is known - and much less reliably - how those networks change over time, respond to life events, and are reconstructed by individuals, which means that the understanding of how networks affect health remains significantly limited. This project is designed to address three major issues. First, the proposed project will be a unique panel study generating a rich picture of network structure (rather than summary assessments by respondents) via multiple name-eliciting questions in a large sample, adding now the dimension of time. Second, these data will reveal the dynamics of personal networks: how they change, what makes them change, and how individuals adapt to those changes. The study results will indicate which individuals are better- or worse-equipped to respond to events and to sustain their networks - and with what health consequences. No existing American published studies or on-going data-collecting surveys address such issues by combining rich network data, large samples, and a panel structure. Third, the proposed project will conduct experiments on the network-measuring methodology to enable effective studies of other samples as well, in particular, by comparing data gathered in face-to-face interviews with data gathered over the internet. This project will describe, track, and explain network change and reconstruction. It goes far beyond existing studies by combining (1) in-depth, multidimensional, and reliable measures of personal networks with (2) a panel design, in (3) a sufficiently large, yet focused, sample. Specifically, the proposed study consists of three waves of interviews, 18 months apart, of 21-30 and 50-to-70 year-olds, using the bulk of the interview time in each wave to elicit detailed descriptions of their personal social ties. These questions wil yield many multidimensional measures of personal networks. The remainder of the interview time will be devoted to measuring physical and mental health, life events, and personality. The administration will entail systematically mixing face-to-face and web interviewing over the three waves in a design that will allow evaluations of mode effects on network (and other) measures, and development of an effective web-based instrument for future research on personal networks.

描述（由申请人提供）：众所周知，个人的个人网络显着影响他们的身心健康。然而，人们对这些网络如何随时间变化、对生活事件做出反应以及由个人重建的了解却少得多，可靠性也低得多，这意味着对网络如何影响健康的理解仍然非常有限。该项目旨在解决三个主要问题。首先，拟议的项目将是一项独特的小组研究，通过大样本中的多个引出名字的问题生成丰富的网络结构图（而不是受访者的总结评估），现在增加了时间维度。其次，这些数据将揭示个人网络的动态：它们如何变化、是什么导致它们变化以及个人如何适应这些变化。研究结果将表明哪些人在应对事件和维持他们的网络方面能力更好或更差，以及会带来什么健康后果。现有的美国已发表的研究或正在进行的数据收集调查都没有通过结合丰富的网络数据、大样本和面板结构来解决这些问题。第三，拟议项目将对网络测量方法进行实验，以便对其他样本进行有效研究，特别是通过将面对面访谈收集的数据与通过互联网收集的数据进行比较。该项目将描述、跟踪和解释网络变化和重建。它远远超出了现有的研究，将（1）深入、多维和可靠的个人网络测量与（2）面板设计相结合，（3）足够大但集中的样本。 具体来说，拟议的研究由三轮访谈组成，访谈对象为 21-30 岁和 50-70 岁的人，间隔 18 个月，利用每轮访谈的大部分时间来详细描述他们的个人社会关系。这些问题将产生许多个人网络的多维衡量标准。面试的剩余时间将用于衡量身心健康、生活事件和性格。政府将需要在设计中系统地混合面对面和网络访谈的三波访谈，该设计将允许评估模式对网络（和其他）措施的影响，并开发一种有效的基于网络的工具，用于未来的个人研究网络。