全球繁荣研究第一阶段的调查抽样设计

IF 7.7 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
R. Noah Padgett, Richard G. Cowden, Manas Chattopadhyay, Ying Han, John Honohan, Zacc Ritter, Rajesh Srinivasan, Byron R. Johnson, Tyler J. VanderWeele
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引用次数: 0

摘要

全球繁荣研究(GFS)是一项国际合作,旨在开发可公开访问的数据资源,以促进全球对人类繁荣的研究。这些数据包括来自22个地理和文化多样化的国家和一个旨在代表全国成年人口的地区的20多万参与者。GFS旨在作为纵向面板研究,为2022年4月至2023年12月期间的第1波招募和部署。未来的数据收集浪潮将邀请参与者每年完成一项调查。这项年度调查涵盖了关于福利、健康、社会、经济、政治、宗教、精神、心理和人口变量的一整套强有力的措施。本文描述了抽样方法和加权方法,用于预测样本具有全国代表性。详细介绍了采访者培训和数据收集、概率和非概率样本、创建权重、设计效果和未来数据收集阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Survey sampling design in wave 1 of the Global Flourishing Study

The Global Flourishing Study (GFS) is an international collaboration to develop a publicly accessible data resource to promote global research on human flourishing. These data include over 200,000 participants from 22 geographically and culturally diverse countries and one territory designed to be nationally representative of the adult population. The GFS is intended as a longitudinal panel study with recruitment and empanelment for Wave 1 occurring between April 2022 and December 2023. Future waves of data collection will invite participants to complete a survey annually. The annual survey covers a robust set of measures on well-being, health, social, economic, political, religious, spiritual, psychological and demographic variables. The current paper describes the sampling methodology and weighting approaches used to project the samples to be nationally representative. Details are provided on interviewer training and data collection, probability and non-probability samples, creating weights, design effects, and future data collection stages.

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来源期刊
European Journal of Epidemiology
European Journal of Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
21.40
自引率
1.50%
发文量
109
审稿时长
6-12 weeks
期刊介绍: The European Journal of Epidemiology, established in 1985, is a peer-reviewed publication that provides a platform for discussions on epidemiology in its broadest sense. It covers various aspects of epidemiologic research and statistical methods. The journal facilitates communication between researchers, educators, and practitioners in epidemiology, including those in clinical and community medicine. Contributions from diverse fields such as public health, preventive medicine, clinical medicine, health economics, and computational biology and data science, in relation to health and disease, are encouraged. While accepting submissions from all over the world, the journal particularly emphasizes European topics relevant to epidemiology. The published articles consist of empirical research findings, developments in methodology, and opinion pieces.
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