Toward Next Generation Data on Health and Life Changes at Older Ages

总结 这一基础设施提案旨在进一步提高社会科学（广义）的能力， 收集美国家庭和个人日常生活的数据。这些数据将更准确，更精细， 而且比传统的基于调查的研究更全面。这是因为 理解美国研究（UAS），我们一直在南加州大学建立的基于概率的互联网小组 自2014年起基础架构包括许多数据类型（包括调查数据、信息 从可穿戴设备、情境和管理联系、生态瞬时评估、自我记录 财务交易的电子记录），以及与更广泛的 在数据传播和征求对内容和方法的投入方面，研究界都发挥了重要作用。 UAS目前由大约10，000名美国居民组成，通过基于地址的抽样招募， 如有需要，可提供可上网的平板电脑。调查以英文和西班牙文进行。为即将到来的 项目年，我们建议将UAS国家样本扩大到12，600名受访者，并对黑人进行过度样本， 亚洲人和西班牙人，以及农村地区的充分代表性。 我们的项目旨在为研究界创建并提供一个独特的详细和集中的 收集有关美国家庭和个人的信息。为了实现这一目标，我们的战略目标是 将选定的外部数据源与无人机系统调查数据相结合，并扩展已经广泛的主题 由UAS调查覆盖。

Summary This infrastructure proposal aims to further advance capabilities in the social sciences (broadly defined) to collect data on the daily lives of U.S. families and individuals. These data will be more accurate, more granular, and more comprehensive than is currently possible in traditional survey-based research. The context for this is the Understanding America Study (UAS), the probability-based Internet panel we have been building at USC since 2014. The infrastructure includes the combination of many data types (including survey data, information from wearables, contextual and administrative linkages, ecological momentary assessments, self-recorded narratives, and electronic records of financial transactions), as well as an open communication with the wider research community both in data dissemination and in soliciting input on content and methods. The UAS currently comprises about 10,000 U.S. residents, recruited by address-based sampling and provided with Internet-enabled tablets if needed. Surveys are conducted in English and Spanish. For the coming project year, we propose to expand the UAS national sample to 12,600 respondents, with oversamples of Blacks, Asians, and Hispanics, and sufficient representation of rural areas. Our project aims to create and make available to the research community a uniquely detailed and focused collection of information on U.S. households and individuals. To achieve this goal, we aim to strategically integrate selected external data sources with UAS survey data and expand the already broad set of topics covered by UAS surveys.