Survey Data Collection Methods Collaboration: Securing the Future of Social Surveys
调查数据收集方法协作:确保社会调查的未来
基本信息
- 批准号:ES/X014150/1
- 负责人:
- 金额:$ 304.55万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2023
- 资助国家:英国
- 起止时间:2023 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The survey data collection community is facing severe challenges in implementing surveys using pre-pandemic approaches. There are knowledge gaps regarding the advantages and disadvantages of different data collection techniques and approaches such as push-to-web, knock-to-nudge and video-interviewing, and particularly in the mixed-mode context. And there is limited capacity both of skilled interviewers and of research professionals. Recent developments are leading to changes in commissioner requirements for face-to-face data collection as well as having implications for fieldwork costs and the role of interviewers. In several areas of survey methodology, the need for development of improved methods and the need to identify and communicate best practice is urgent.The Survey Data Collection Methods Collaboration (SDCMC) is a response to these challenges and aims to deliver a step change in approaches to collecting population survey data in the UK to ensure that it will remain possible to carry out high quality social surveys of the kinds required by the public and academic sectors to monitor and understand society, and to provide an evidence base for policy. It will do this primarily through a rigorous programme of research focused on ensuring large-scale social surveys in the UK can innovate and adapt in a changing environment and continue to deliver high quality and inclusive data. The primary aim of the programme of work is to assess the quality implications of the most important survey design choices relevant to future UK surveys and provide good practice guidance and practical training materials, while a secondary aim is to identify promising ways to improve the capacity and skillset of both interviewers and research professionals and take steps towards making those improvements. The SDCMC will generate a range of research and training outputs and will engage in a programme of dissemination and promotion activities. Outputs will have a strong practical orientation, consisting of good practice guidance for survey design, survey implementation, survey commissioners and survey data users, all backed up by rigorous and well-documented research and with a range of associated activities to ensure that the lessons are disseminated to all relevant stakeholders and, where appropriate, embedded in institutional practice in a timely manner. The project will also seek to enable a whole community dialogue and collaborative response to wider strategic challenges and issues, as well as incorporating a strong training and capacity building component. To realise the vision of the SDCMC will require leadership, commitment and active participation of a broad range of stakeholders including those who commission surveys, those who implement them, those who use survey data and those involved in research and development of survey methods. Constructive dialogue and collaboration will be crucial to the successful delivery of the ambitious range of activities and outputs that we envisage. We have assembled an experienced project team including academics and survey practitioners (39 people from 14 institutions), who are committed to the necessary constructive collaboration and we will engage a wider range of other stakeholders during the course of the grant to ensure that our outputs directly benefit a wide range of audiences. Impact will be achieved not only on survey research and survey practice but also on a broad range of disciplines within the social sciences and beyond which employ social survey data for analysis through raised awareness and knowledge of issues and opportunities.
调查数据收集界在采用大流行前的方法进行调查方面面临严峻挑战。在不同数据收集技术和方法的优缺点方面存在着知识差距,如推到网络、敲击到轻推和视频访谈,特别是在混合模式的情况下。熟练的采访者和研究专业人员的能力都有限。最近的事态发展正在导致专员面对面数据收集要求的变化,并对实地工作成本和访谈员的作用产生影响。在调查方法的若干领域,迫切需要开发改进的方法,并需要确定和交流最佳做法。调查数据收集方法协作组织(SDCMC)是对这些挑战的回应,旨在逐步改变在英国收集人口调查数据的方法,以确保仍然有可能进行高质量的社会调查。公共和学术部门监测和了解社会,并为政策提供证据基础。它将主要通过严格的研究计划来实现这一目标,重点是确保英国的大规模社会调查能够在不断变化的环境中创新和适应,并继续提供高质量和包容性的数据。工作方案的主要目的是评估与联合王国今后调查有关的最重要调查设计选择的质量影响,并提供良好做法指导和实用培训材料,次要目的是确定有希望提高访谈人员和研究专业人员的能力和技能的方法,并采取步骤实现这些改进。SDCMC将产生一系列研究和培训成果,并将参与传播和促进活动方案。产出将具有很强的实用性,包括对调查设计、调查执行、调查专员和调查数据用户的良好做法指导,所有这些都得到严格和有据可查的研究的支持,并有一系列相关活动,以确保将经验教训传播给所有相关利益攸关方,并酌情及时纳入机构做法。该项目还将寻求使整个社区能够对话和合作应对更广泛的战略挑战和问题,并纳入强有力的培训和能力建设部分。要实现SDCMC的愿景,需要广泛的利益相关者的领导,承诺和积极参与,包括委托调查的人,实施调查的人,使用调查数据的人以及参与研究和开发调查方法的人。建设性对话与合作对于成功开展我们设想的一系列雄心勃勃的活动和产出至关重要。我们已经组建了一个经验丰富的项目团队,包括学者和调查从业人员(来自14个机构的39人),他们致力于必要的建设性合作,我们将在赠款过程中与更广泛的其他利益相关者合作,以确保我们的产出直接受益于广泛的受众。不仅将对调查研究和调查实践产生影响,而且还将对社会科学内外的广泛学科产生影响,这些学科通过提高对问题和机会的认识和了解,利用社会调查数据进行分析。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Peter Lynn其他文献
Generalization of Classic Question Order Effects Across Cultures
跨文化经典问题顺序效应的泛化
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
T. Stark;Henning Silber;J. Krosnick;A. Blom;M. Aoyagi;A. Belchior;M. Bošnjak;S. Clement;M. John;G. Jónsdóttir;K. Lawson;Peter Lynn;Johan Martinsson;Ditte Shamshiri;E. Tvinnereim;R. Yu - 通讯作者:
R. Yu
Sample design for longitudinal surveys
纵向调查样本设计
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Paul A. Smith;Peter Lynn;D. Elliot - 通讯作者:
D. Elliot
Towards standardisation of survey outcome categories and response rate calculations
迈向调查结果类别和答复率计算的标准化
- DOI:
- 发表时间:
2002 - 期刊:
- 影响因子:0
- 作者:
Peter Lynn;Roeland Beerten;J. Laiho;Jean Martin - 通讯作者:
Jean Martin
Measurement effects between CAPI and Web questionnaires in the UK Household Longitudinal Study
英国家庭纵向研究中 CAPI 和网络问卷的测量效果
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
J. Vannieuwenhuyze;Peter Lynn - 通讯作者:
Peter Lynn
Telephone versus face-to-face interviewing: mode effects on data quality and likely causes: report on phase II of the ESS-Gallup mixed mode methodology project
电话访谈与面对面访谈:模式对数据质量的影响和可能的原因:ESS-盖洛普混合模式方法项目第二阶段的报告
- DOI:
- 发表时间:
2006 - 期刊:
- 影响因子:0
- 作者:
Jäckle Annette;C. Roberts;Peter Lynn - 通讯作者:
Peter Lynn
Peter Lynn的其他文献
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{{ truncateString('Peter Lynn', 18)}}的其他基金
Understanding non-response and reducing non-response bias
了解不回应并减少不回应偏差
- 批准号:
ES/E024246/1 - 财政年份:2007
- 资助金额:
$ 304.55万 - 项目类别:
Research Grant
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