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

• 批准号: ES/X014150/1
• 负责人: Peter Lynn
• 金额: $ 304.55万
• 依托单位: University of Essex
• 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: https://gtr.ukri.org/projects?ref=ES%2FX014150%2F1
• 关键词: Survey; Data; Collection; Methods; Collaboration

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.

调查数据收集界在使用大流行前方法实施调查方面面临着严峻的挑战。关于不同数据收集技术和方法（例如推送到网络、点击推动和视频采访）的优缺点，尤其是在混合模式环境中，存在知识差距。熟练的访谈员和研究专业人员的能力都有限。最近的发展导致专员对面对面数据收集的要求发生变化，并对实地工作成本和访谈员的作用产生影响。在调查方法的多个领域，迫切需要开发改进的方法以及确定和交流最佳实践。调查数据收集方法协作 (SDCMC) 是对这些挑战的回应，旨在实现方法的重大变革收集英国的人口调查数据，以确保仍有可能开展公共和学术部门所需的高质量社会调查，以监测和了解社会，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创新并适应不断变化的环境，并继续提供高质量和包容性的数据。该工作计划的主要目的是评估与未来英国调查相关的最重要的调查设计选择的质量影响，并提供良好的实践指导和实用培训材料，而次要目标是确定有希望的方法来提高能力和能力。采访员和研究专业人员的技能，并采取措施进行改进。 SDCMC 将产生一系列研究和培训成果，并将参与传播和推广活动计划。产出将具有很强的实用性，包括对调查设计、调查实施、调查专员和调查数据用户的良好实践指导，所有这些都以严格且有据可查的研究和一系列相关活动为后盾，以确保所学到的教训向所有相关利益攸关方传播，并酌情及时纳入机构实践。该项目还将寻求促进整个社区对话和协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。为了实现 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调查方法研究和开发的人。建设性对话与合作对于成功实现我们设想的一系列雄心勃勃的活动和产出至关重要。我们组建了一支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，我们将在资助过程中与更广泛的其他利益相关者接触，以确保我们的成果直接使广大受众受益。不仅会对调查研究和调查实践产生影响，而且还会对社会科学及其以外的广泛学科产生影响，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。