Understanding Society: minimising selection biases in data collection using mobile apps

IF 2.2 3区 经济学 Q2 BUSINESS, FINANCE
Annette Jäckle, Jonathan Burton, Mick P. Couper
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引用次数: 0

Abstract

Understanding Society, the UK Household Longitudinal Study has a programme of research and development that underpins innovations in data collection methods. One of our current focuses is on using mobile applications to collect additional data that supplement data collected in annual interviews. To date, we have used mobile apps to collect data on consumer expenditure, well-being, anthropometrics and cognition. In this paper, we review the potential barriers to data collection using mobile apps and experimental evidence collected with the Understanding Society Innovation Panel, on what can be done to reduce these barriers.
了解社会:在使用移动应用程序收集数据时尽量减少选择偏差
英国家庭纵向研究 "了解社会 "有一项研究和开发计划,支持数据收集方法的创新。我们目前的重点之一是利用移动应用程序收集更多数据,以补充年度访谈收集的数据。迄今为止,我们已利用移动应用程序收集了消费者支出、幸福感、人体测量和认知方面的数据。在本文中,我们将回顾使用移动应用程序收集数据的潜在障碍,以及与 "了解社会创新小组 "一起收集的实验证据,说明如何才能减少这些障碍。
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来源期刊
Fiscal Studies
Fiscal Studies Multiple-
CiteScore
13.50
自引率
1.40%
发文量
18
期刊介绍: The Institute for Fiscal Studies publishes the journal Fiscal Studies, which serves as a bridge between academic research and policy. This esteemed journal, established in 1979, has gained global recognition for its publication of high-quality and original research papers. The articles, authored by prominent academics, policymakers, and practitioners, are presented in an accessible format, ensuring a broad international readership.
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