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Understanding Society: The UK Household Longitudinal Study: Waves 9-11

Understanding Society: The UK Household Longitudinal Study: Waves 9-11
了解社会:英国家庭纵向研究:第 9-11 波浪潮
批准号:
ES/N00812X/1
负责人:
Michaela Benzeval
金额:
$3849.61万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --

项目摘要

项目成果

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中文摘要
翻译
了解社会:英国家庭纵向研究是世界上最大的家庭小组研究,旨在解决21世纪的关键科学和政策问题。它收集代表英国人口的家庭中所有年龄段的个人的高质量年度纵向数据。这些数据使研究人员能够探索人们生活变化的经历、原因和后果--他们的家庭结构、健康、收入、支出、就业和住房--这些都是当今政策制定者的关键问题。这项研究还有更多的样本,可以详细探索主要移民和少数族裔群体的情况;并收集关于认知、健康的客观衡量标准和遗传学的数据,以了解人们的健康和更广泛的环境是如何相互作用的。此外,这项研究还投资于数据收集的创新方法,以不断提高可用数据的内容和质量。因此,总体而言,这项研究使研究成果能够为政策和实践提供信息。这项研究于2008年启动,成立了一个创新小组来测试方法,并在2009年进行了第一波主要的实地考察。到目前为止,主要研究的四波和创新小组的六波,以及从护士访问中收集的来自血液样本的数据都存储在英国数据服务中心。第5至第8波的数据收集和规划正在进行中;本次投标涵盖第9至第11波及相关活动的数据收集成本。在仔细的实验研究和评估的基础上,第9至第11波的研究将转向混合模式的数据收集--这意味着人们将能够面对面或在线完成问卷调查。这最大限度地提高了受访者的灵活性,但考虑到人们回答问题的方式可能会有所不同,这取决于面试者是否询问他们,这给数据用户带来了复杂性。我们工作的关键将是支持数据用户,以确保他们能够有效地使用这些复杂的数据。政策和研究议程在不断演变,在纵向研究中,重要的是在创造一长串相同的问题与包括处理新出现的主题的问题之间取得平衡,并有效地利用新的数据收集方法。在这一资助期间,我们将开展一项创新计划,引进新技术,使我们能够收集更好的数据,以解决关键的社会科学和政策问题。我们还将与主题冠军合作,改进调查的内容和向用户展示数据的方式。支持大学、政府、第三部门和企业的研究人员有效地使用数据是这项研究成功的基础。因此,我们将投资于改善我们对这项研究的用户支持,并以不同的方式分享数据,使不同类型的用户更容易进行分析。我们还有一个直接与政府部门和第三部门组织合作的政策股,以确保他们充分意识到如何利用了解社会的数据来解决他们的政策关切,并在适当的情况下帮助他们这样做,以及一个支持政策使用者和研究人员有效合作以产生影响的Impact研究员。在这一资助期间,随着更多的研究浪潮被发布给数据用户,这项研究的价值将显著增加,因为它可以用来回答更多关于不同类型的变化对人们生活的影响的问题。我们将为用户创造广泛的机会来分享他们的调查结果--例如在会议和讲习班上,通过Insights,通过在网站上推广出版物和案例研究,以及通过社交媒体--并创建一个在线用户社区,以便他们能够相互参与。
英文摘要
Understanding Society: the UK Household Longitudinal Study is the largest household panel study in the world which addresses the key scientific and policy questions of the 21st century. It collects high quality annual longitudinal data on individuals of all ages in households representative of the UK population. Such data enables researchers to explore the experience, causes and consequences of changes in people's lives - their family structure, health, income, expenditure, employment and housing - key issues for policy makers today. The Study also has additional samples that allow the detailed exploration of the circumstances of key immigrant and ethnic minority groups; and collects data on cognition, objective measures of health and genetics to understand how people's health and wider circumstances interact. Additionally, the Study invests in innovative ways of collecting data to continually improve the content and quality of data available. Overall, therefore, the Study enables the production of research to inform policy and practice. The Study was inaugurated in 2008 with an Innovation Panel to test methods and the first main wave of fieldwork in 2009. To date four waves of the main study and six waves of the Innovation Panel, as well as data collected from a nurse visit and derived from blood samples, are deposited in the UK Data Service. Data collection and planning are ongoing for Waves 5-8; this bid covers the costs of data collection for Waves 9-11 and associated activities.Based on careful experimental research and evaluation, in Waves 9-11 the Study will move to mixed mode data collection - meaning people will be able to complete the questionnaire face-to-face or online. This maximises flexibility for respondents, but given people may answer questions differently, depending on whether an interviewer is asking them or not, it creates complexities for data users. Crucial to our work will be to support data users to ensure they are able to use such complex data effectively. Policy and research agendas are constantly evolving, and it is important in a longitudinal study to balance creating long series of the same questions with including questions that address emerging topics and make effective use of new approaches to data collection. In this funding period, we will undertake a programme of innovation to bring in new technologies, enabling us to collect better data to address critical social science and policy issues. We will also work with Topic Champions to improve the content of the survey and the way we present the data to users. Supporting researchers in universities, government, third sector and businesses to use the data effectively is fundamental to the success of the Study. We will therefore invest in improving our user support for the Study and sharing the data in different ways to make them easier for different kind of users to analyse. We also have a Policy Unit that directly works with government departments and third sector organisations to ensure that they are fully aware of how Understanding Society data can be used to address their policy concerns and to help them do so where appropriate, and an Impact Fellow who supports both policy users and researchers to work effectively together to generate impact. During this funding period, as more waves of the Study are released to data users, the value of the study will increase significantly as it can be used to answer more questions about the effect of different kinds of changes on people's lives. We will create a wide range of opportunities for users to share their findings - for example at conferences and workshops, through Insights, by promoting publications and case studies on the website and through social media - and by creating an online community of users so that they can engage with each other.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.jhealeco.2019.102251
发表时间: 2020-01-01
期刊: JOURNAL OF HEALTH ECONOMICS
影响因子: 3.5
作者: [Davillas, Apostolos, Jones, Andrew M.]
通讯作者: Jones, Andrew M.
DOI: 10.1177/0894439317746328
发表时间: 2019-02-01
期刊: SOCIAL SCIENCE COMPUTER REVIEW
影响因子: 4.1
作者: [Al Baghal, Tarek]
通讯作者: Al Baghal, Tarek
Linking Survey and Social Media Data
连接调查和社交媒体数据
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者: [Al Baghal T]
通讯作者: Al Baghal T
Supplemental Material, Albaghal_Online_Supplement - Linking Twitter and Survey Data: The Impact of Survey Mode and Demographics on Consent Rates Across Three UK Studies
补充材料,Albaghal_Online_Supplement - 连接 Twitter 和调查数据:调查模式和人口统计对三项英国研究同意率的影响
DOI: 10.25384/sage.7776095
发表时间: 2019
期刊:
影响因子: --
作者: [Baghal T]
通讯作者: Baghal T
共 10 条
    Understanding Society Waves 17-19 (Fieldwork Grant 1)
    • 批准号:
      ES/Y010469/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $4053.24万
    • 财政年份:
      2024
    • 负责人:
      Michaela Benzeval
    • 依托单位:
    Understanding Society: The UK Household Longitudinal Survey Waves 13-15
    • 批准号:
      ES/T002611/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $6808.62万
    • 财政年份:
      2020
    • 负责人:
      Michaela Benzeval
    • 依托单位:
    UK POPULATION LAB INNOVATION DEVELOPMENT GRANT
    • 批准号:
      ES/S016651/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $38.34万
    • 财政年份:
      2018
    • 负责人:
      Michaela Benzeval
    • 依托单位:
    Understanding Society: The UK Household Longitudinal Study extension for Wave 12
    • 批准号:
      ES/S007253/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $2044.2万
    • 财政年份:
      2018
    • 负责人:
      Michaela Benzeval
    • 依托单位:
    海外基金