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，个人的个人网络会严重影响其身心健康。然而，这些网络随着时间的变化，对生活事件的反应并被个人重建，这意味着这些网络如何变化，这意味着对网络如何影响健康的理解仍然显着受到限制。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，通过在大型样本中进行多个名称的问题，从而产生丰富的网络结构图片（而不是受访者的摘要评估），现在增加了时间的尺寸。其次，这些数据将揭示个人网络的动态：它们如何改变，什么使它们改变以及个人如何适应这些变化。该研究结果将表明哪些人对事件的反应和维持其网络以及健康后果的能力更好或更糟糕。没有现有的美国发表的研究或正在进行的数据收集调查通过结合丰富的网络数据，大型样本和面板结构来解决此类问题。第三，拟议的项目将对网络测量方法进行实验，以便通过比较在面对面访谈中收集的数据与通过互联网上收集的数据进行比较，从而有效地研究了其他样本。该项目将描述，跟踪和解释网络变化和重建。通过（1）在（3）中，（2）一个面板设计的深度，多维且可靠的度量衡量个人网络的衡量（1），远远超出了现有研究。 具体而言，拟议的研究包括三波访谈，相距18个月，分别为21-30至70岁，使用了每个浪潮中的大部分访谈时间，以引起对其个人社交关系的详细描述。这些问题将产生许多个人网络的多维度量。其余的面试时间将致力于衡量身心健康，生活事件和个性。政府将系统地将面对面的面对面和网络访谈在设计中的三个波动中进行，这将允许评估对网络（和其他）措施的模式影响，并开发有效的基于Web的工具，以实现对个人网络的未来研究。