Using Subjective Well-Being Data to Monitor Changes in Health and Well-Being

使用主观幸福感数据监测健康和幸福感的变化

• 批准号: 9982735
• 负责人: Daniel J Benjamin
• 金额: $ 7.61万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9982735
• 关键词: Academy; Affect; Age; Aging; American; Americas; Area; Behavioral; Behavioral Research; Caring; Complex; Cost-Benefit Analysis; Data; Data Collection; Data Sources; Development; Dimensions; Economics; Event; Face; Family Relationship; Fostering; Foundations; Funding; Government; Health; Impaired cognition; Individual; Internet; Investigation; Leisures; Life; Measurement; Measures; Methodology; Methods; Mission; Monitor; National Institute on Aging; New Zealand; Personal Satisfaction; Phase; Policies; Procedures; Recommendation; Reporting; Research; Research Personnel; Respondent; Sampling; Science; Security; Source; Structure; Surveys; Time; Uncertainty; United States National Institutes of Health; Work; base; cost; data resource; design; improved; indexing; operation; pleasure; public health relevance; response; social; social relationships; theories

 DESCRIPTION (provided by applicant): When science is used to inform practice, careful measurement based on clear conceptualization is the beginning of wisdom. In particular, gauging how well people are doing is basic to figuring out whether efforts to improve people's lives are succeeding. Cost-benefit analyses at the micro level and GDP at the aggregate level face serious challenges in dealing with non-market goods. (Both cost-benefit analyses and GDP account for some non-market goods but miss many others.) This matters particularly in monitoring the well-being of older individuals because non-market goods, such as health and the pleasure from social relationships and leisure-time activities, become especially important at later ages. The overall objective of this proposal is to lay a stronger foundation for extensive us of subjective well-being (SWB) data to monitor changes in overall health and well-being. While the proposed research focuses broadly on understanding SWB data and how it can best be used, the cornerstones of this proposal are (1) developing new sources of data on multidimensional SWB, and (2) developing a set of methods and the necessary complementary data to aggregate SWB data across different aspects of well-being into an overall measure of well-being. This proposal builds on a substantial body of prior work, as well as on many of the conclusions and recommendations of the report of the NIA's Panel on Measuring Subjective Well-Being in a Policy-Relevant Framework (Stone and Mackie, 2013). Phase 1 (Years 1-2) of the proposed research is focused on understanding and improving SWB questions (especially in health dimensions) and methods for aggregating the responses into overall measures. Phase 2 (Years 2-5) is focused on creating and developing web panels, with two waves of data on the levels of a large number of dimensions of well-being. The purpose of Phase 1 is to make the quality of the data collection in Phase 2-and the subsequent analysis-as high as possible. The many SWB measures that will be collected on the Understanding America Study (UAS) will include versions of all the commonly used SWB questions currently carried on major surveys, making direct comparisons possible. The new data resources will be from the UAS, a relatively new web panel founded by Arie Kapteyn at USC, and other data sources, including a New Zealand well-being survey being planned by the government of New Zealand. The data would be publicly available. An important virtue of the UAS and similar surveys is that, without needing a prior connection to the UAS, any serious researcher can easily arrange to have additional complementary data collected, at a reasonable cost in terms of additional funding.

 描述（由申请人提供）：当科学用于指导实践时，基于清晰概念化的仔细测量是智慧的开始。特别是，衡量人们的表现是判断改善人们生活的努力是否成功的基础。微观层面的成本效益分析和总体层面的GDP分析在处理非市场商品时面临着严峻的挑战。 （成本效益分析和GDP都考虑了一些非市场商品，但忽略了许多其他商品。）这对于监测老年人的福祉尤其重要，因为非市场商品，例如健康以及社会关系和休闲活动的乐趣，在晚年变得尤其重要。该提案的总体目标是为广泛使用主观幸福感（SWB）数据来监测整体健康和福祉的变化奠定更坚实的基础。虽然拟议的研究广泛侧重于理解 SWB 数据以及如何最好地使用它，但该提案的基石是 (1) 开发有关多维 SWB 的新数据源，以及 (2) 开发一套方法和必要的补充数据，以将幸福感不同方面的 SWB 数据汇总为幸福感的整体衡量标准。该提案建立在大量先前工作的基础上，以及 NIA 小组关于在政策相关框架中衡量主观幸福感的报告（Stone 和 Mackie，2013 年）的许多结论和建议的基础上。拟议研究的第一阶段（第 1-2 年）侧重于理解和改进主观幸福感问题（特别是在健康方面）以及将答复汇总为总体衡量标准的方法。第 2 阶段（第 2-5 年）的重点是创建和开发网络面板，其中包含有关大量幸福维度水平的两波数据。第一阶段的目的是使第二阶段的数据收集以及后续分析的质量尽可能高。 “了解美国研究”(UAS) 中将收集的许多 SWB 指标将包括目前在主要调查中进行的所有常用 SWB 问题的版本，从而使直接比较成为可能。新的数据资源将来自 UAS（由南加州大学 Arie Kapteyn 创建的一个相对较新的网络小组）和其他数据源，包括新西兰政府正在计划的新西兰福祉调查。这些数据将公开。 UAS 和类似调查的一个重要优点是，无需事先连接到 UAS，任何认真的研究人员都可以轻松安排收集额外的补充数据，并以合理的额外资金成本进行收集。