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（由适用提供）：当使用科学为实践提供信息时，基于明确概念化的仔细测量是智慧的开始。特别是，衡量人们弄清楚改善人们生活的努力是否成功的基础是基本的。在处理非市场商品时，在微观层面和GDP进行了成本效益分析面临严重的挑战。 （成本效益分析和GDP都占了一些非市场商品，但会错过许多其他商品。）这一点尤其是在监测老年人的福祉时，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）在后来的年龄尤为重要。该提案的总体目的是为广泛的主观福祉（SWB）数据奠定坚实的基础，以监控整体健康和福祉的变化。虽然拟议的研究广泛着重于理解SWB数据及其最佳使用方式，但该提案的基石是（1）开发有关多维SWB的新数据源，以及（2）（2）开发一组方法和必要的互补数据，以汇总SWB数据的整体测量。该提案建立在大量的先前工作中，以及NIA小组对与政策相关的框架中衡量主观幸福感的报告的许多结论和建议（Stone and Mackie，2013）。拟议研究的第1阶段（1-2年）的重点是理解和改善SWB问题（尤其是在健康方面）和将回答汇总到整体测量中的方法。第2阶段（2 - 5年）的重点是创建和开发网络面板，并在大量福祉方面的水平上有两个数据浪潮。第1阶段的目的是在第2阶段和随后的分析中提高数据收集的质量 - 尽可能高。在《美国理解研究》（UAS）（UAS）中将收集的许多SWB措施将包括当前在重大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，UAS是由Arie Kapteyn在USC创立的相对新网站，以及其他数据来源，包括新西兰政府计划的新西兰福祉调查。数据将公开可用。 UAS和类似调查的一个重要优点是，在不需要与UAS的事先联系的情况下，任何认真的研究人员都可以轻松安排收集额外的完整数据，以合理的成本在额外的资金方面。