Evidence gathering using the Centre for Longitudinal Studies scoping project
Evidence gathering using the Centre for Longitudinal Studies scoping project
批准号:
ES/T00116X/1
负责人:
Alissa Goodman
金额:
$65.42万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
该项目将提供新的证据,支持在纵向研究中心开展的四项全国性纵向研究中引入调查方法、记录联系和测量方面的创新:千年队列研究、下一步、1970年英国队列研究和1958年全国儿童发展研究。它将有助于在国内和国际纵向研究界共享学习。该项目还将为ESRC提供证据,以支持新的出生队列研究的潜在委托。它由以下子项目组成:千年队列研究和下一步婴儿:MCS和下一步研究成员现在处于生育和生育的重要年龄。我们将探索在MCS和Next Steps研究中扩展数据收集的科学潜力,以涵盖研究成员及其伴侣的怀孕和分娩,并将新生婴儿纳入这些研究的纵向随访。这将包括对这些研究成员在未来10年内出生的婴儿数量和时间的预测,以及在这些婴儿的怀孕、分娩和早期阶段让准父母参与的可能策略。还将调查BCS70和非传染性疾病孙子子研究的可能性。英国一项新的“加速设计”出生队列研究的设计方案:在这个项目中,我们将为一项新的国家出生队列研究设定一些设计方案。我们将确定可能的抽样框架,从中可以得出具有代表性的新生儿样本,并列出样本量的含义,以及由此产生的样本的地方和国家代表性。我们还将制定方案,以吸引具有全国代表性的学龄儿童。将提供一系列假设分析的相关功率计算。定性研究:我们将对队列成员进行一套定性研究,以测试他们对潜在创新的看法,包括将调查扩展到新的家庭成员(伴侣、婴儿)、实施基于网络和其他数据收集模式、使用激励机制和联系。我们将探讨在CLS队列中扩展记录联系的潜力,包括将队列嵌入相关的国家人口中,以及新颖的地理数据联系,特别关注科学价值、可行性和同意性。我们将回顾和发表关于数据收集模式的新证据,以及在CLS队列中使用激励措施来鼓励参与者的反应,并将提供关于数据收集新技术的文献综述。测量校准:为了提高跨队列研究的机会,我们将开展一项新的基于网络的心理健康测量数据收集,这些测量数据先前已在CLS队列研究中用于成人。这将为研究人员提供可用于跨队列研究的校准措施,也将为未来数据收集中心理健康工具的选择提供信息。我们将在儿童认知测试中试行类似的方法。MCS网络提升和设计:我们将在当前的MCS 17岁扫荡中进行网络提升调查,我们将评估其对响应的影响。我们将设计一个年度网络调查邮件和奖励实验,以便将来在MCS和/或Next Steps中实施。
英文摘要
This project will provide new evidence to support the introduction of innovations in survey methods, record linkages, and measurement in the four national longitudinal studies run at the Centre for Longitudinal Studies: the Millennium Cohort Study, Next Steps, the 1970 British Cohort Study, and the 1958 National Child Development Study. It will contribute to shared learning across the longitudinal studies communities nationally and internationally. The project will also provide evidence to ESRC to support the potential commissioning of a new birth cohort study. It consists of the following sub-projects:Millennium Cohort Study and Next Steps babies: MCS and Next Steps study members are now at important ages for fertility and child-bearing. We will explore the scientific potential of extending data collection within the MCS and Next Steps studies to cover pregnancies and births of study members and their partners, and to incorporate new babies born into the longitudinal follow-up of these studies. This will include projections for number and timing of babies to be born to members of these studies in the next 10 years and possible strategies for engaging parents-to-be during the pregnancies, births and early years of these babies. The potential for a sub-study of BCS70 and NCDS grandchildren will also be investigated.Design options for a new 'accelerated-design' birth cohort study for the UK: In this project we will set out a number of design options for a new national birth cohort study. We will scope potential sampling frames from which representative samples of new babies could be drawn, and set out the implications for sample sizes, and local and national representativeness of the resulting samples. We will also set out options for drawing a nationally representative cohort of school-aged children. Associated power calculations for a range of hypothetical analyses will be provided.Qualitative research: we will carry out a set of qualitative research with cohort members to test their views on potential innovations including extending the surveys to new family members (partners, babies), the implementation of web-based and other data collection modes, the use of incentives, and linkages.We will scope the potential for extending record linkages within the CLS cohorts, including embedding cohorts into linked national populations, and novel geographic data linkages, with a particular focus on scientific value, feasibility and consent.We will review and publish new evidence on data collection modes, and the use of incentives to encourage participant response in the CLS cohorts, and will provide a literature review on new technologies for data collection.Calibration of measures: in order to improve opportunities for cross-cohort research we will carry out a novel web-based data collection of mental health measures, which have been previously used among adults in the CLS cohort studies. This will provide calibration measures that researchers can use in cross-cohort research, and will also inform the choice of mental health instruments in future data collections. We will pilot a similar approach to childhood cognitive tests. MCS web-boost and design: we will undertake a web-boost survey within the current MCS age 17 sweep, and we will evaluate its impact on response. We will design an annual web-survey mailing, and incentives experiment, for future implementation in MCS and/or Next Steps.
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Diet - Opportunities for Data Collection
饮食 - 数据收集的机会
DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
[Bridger Staatz C]
通讯作者:
Bridger Staatz C
Mixing modes in longitudinal surveys: an overview - CLS working paper 2020/3
纵向调查中的混合模式:概述 - CLS 工作文件 2020/3
DOI:
--
发表时间:
2020
期刊:
影响因子:
--
作者:
[Brown M]
通讯作者:
Brown M
Embedding CLS cohorts into national linked administrative datasets
将 CLS 队列嵌入国家链接的行政数据集中
DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
[Dennison K]
通讯作者:
Dennison K
New technologies and innovative methods in data collection - CLS working paper 2020/2
数据收集新技术和创新方法——CLS工作文件2020/2
DOI:
--
发表时间:
2020
期刊:
影响因子:
--
作者:
[Gilbert E]
通讯作者:
Gilbert E
Studying the next generations: the case for following the offspring of MCS and Next Steps, and for studies of grandparenting
研究下一代:追踪 MCS 后代和后续步骤以及祖父母研究的案例
DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
[Fitzsimons E]
通讯作者:
Fitzsimons E
共 10 条
Centre for Longitudinal Studies Resource Centre 2022 - 2025
-
批准号:ES/W013142/1
-
项目类别:Research Grant
-
资助金额:$1254.97万
-
财政年份:2022
-
负责人:Alissa Goodman
-
依托单位:
Early Life Cohort Feasibility Study (ELC-FS)
-
批准号:ES/V016814/1
-
项目类别:Research Grant
-
资助金额:$570.92万
-
财政年份:2021
-
负责人:Alissa Goodman
-
依托单位:
Understanding the economic, social and health impacts of COVID-19 using lifetime data: evidence from 5 nationally representative UK cohorts
-
批准号:ES/V012789/1
-
项目类别:Research Grant
-
资助金额:$142.37万
-
财政年份:2020
-
负责人:Alissa Goodman
-
依托单位:
Biomedical follow-up of 1958 Birth Cohort Study members at age 60
-
批准号:MR/P023444/1
-
项目类别:Research Grant
-
资助金额:$324.1万
-
财政年份:2017
-
负责人:Alissa Goodman
-
依托单位:
Using new technologies to enhance the value of qualitative data in longitudinal studies: an application to health and well-being, and ageing
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批准号:ES/N00650X/1
-
项目类别:Research Grant
-
资助金额:$26.56万
-
财政年份:2016
-
负责人:Alissa Goodman
-
依托单位:
Centre for Longitudinal Studies, Resource Centre 2015-20
-
批准号:ES/M001660/1
-
项目类别:Research Grant
-
资助金额:$4621.19万
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财政年份:2015
-
负责人:Alissa Goodman
-
依托单位:
海外基金