Understanding survey response behaviour in a digital age: Mixed-device online surveys and mobile device use

了解数字时代的调查响应行为:混合设备在线调查和移动设备的使用

基本信息

  • 批准号:
    ES/P010172/1
  • 负责人:
  • 金额:
    $ 20.48万
  • 依托单位:
  • 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
  • 起止时间:
    2018 至 无数据
  • 项目状态:
    已结题

项目摘要

We live in a digital age with technologies changing rapidly and entering all aspects of life including surveys. Surveys have also started adopting technologies including mobile devices for data collection. There is a big move in the direction of online data collection in the UK including the plan to collect 75% of household responses through the online mode of data collection in the UK 2021 Census. However, evidence is needed to demonstrate that an online data collection strategy will work in the UK. Unfortunately, so far not much is known about online data collection in the UK as the available datasets have small subsamples. This project addresses this gap and aims to analyse online response behaviour and data quality issues in the first available key ESRC large scale data resource as well as in another secondary data resource in the UK that are partially collected online with mobile devices as an available option for respondents - Understanding Society and Second Longitudinal Study of Young People in England (LSYPE2). These data will contain large enough samples to conduct advanced statistical modelling to address this project's research questions. One of the ESRC current main priority areas for investment is 'ways of being in a digital age' and this project addresses issues which belong to this area of priority by studying respondents' choice of devices used during completion of online surveys and their online survey behaviour. Experience from other countries will be taken into account through the use of international advisors from the US and the Netherlands who will be part of the project's Advisory Committee. The project will also carry out some data analysis work in parallel with the Dutch partners from the Data Collection Innovation Centre. Results from the project will be compared to findings from the Netherlands to draw cross-country comparisons. The findings from our project will be instrumental in better understanding participants' choices of devices used and response behaviour in mixed-device online surveys in the UK and in particular in informing best practice for the next UK Census in 2021. The project will also extend understanding of the data quality issues related to online mode of data collection with a special focus on respondents' use of different devices including mobile devices during survey completion process. These findings will inform knowledge that will lead to improvements in online data collection and as a result of this in data quality in the UK and other countries. The results will improve the understanding of who does and who does not respond in online surveys and which groups of respondents choose different devices and hence will inform the efforts of survey practitioners to increase response rates and to reduce survey errors and costs. The project will directly benefit statistical survey agencies and survey practitioners from a wide range of sectors, including government and the public sector, the private and voluntary sector, and market research companies. It will also advise researchers on how best to incorporate different devices data into advanced statistical models. The project will provide recommendations to survey practice organisations on which data need to be collected in the future in order to assess data quality of large scale surveys more effectively.The project team will work closely together with a range of statistical agencies and market research companies, both nationally and internationally, to ensure the benefits of this research for survey practice and direct impact of the project findings. Dissemination of the project findings will include peer-reviewed journal articles, presentations at seminars in the non-academic partner institutions and at national and international conferences as well as a short course and an international research symposium among other activities.
我们生活在一个数字时代,技术日新月异,进入生活的方方面面,包括调查。调查还开始采用包括移动设备在内的技术来收集数据。英国朝着在线数据收集的方向迈出了一大步,包括计划在英国2021年人口普查中通过在线数据收集模式收集75%的家庭回复。然而,需要证据来证明在线数据收集策略将在英国奏效。不幸的是,到目前为止,人们对英国的在线数据收集知之甚少,因为可用的数据集只有很小的子样本。该项目旨在解决这一差距,旨在分析第一个可用的关键ESRC大规模数据资源以及英国另一个二级数据资源中的在线响应行为和数据质量问题,这些数据资源是通过移动设备在线收集的,作为受访者的一个可用选项-了解社会和第二次英格兰年轻人纵向研究(LSYPE2)。这些数据将包含足够大的样本,以进行高级统计建模,以解决该项目的研究问题。ESRC目前投资的主要优先领域之一是“数字时代的方式”,该项目通过研究受访者在完成在线调查期间使用的设备的选择和他们的在线调查行为,解决了属于这一优先领域的问题。来自其他国家的经验将通过使用来自美国和荷兰的国际顾问得到考虑,他们将成为该项目咨询委员会的一部分。该项目还将与数据收集创新中心的荷兰合作伙伴并行开展一些数据分析工作。该项目的结果将与荷兰的结果进行比较,以得出跨国比较。我们项目的发现将有助于更好地了解参与者在英国混合设备在线调查中使用的设备选择和反应行为,特别是在为2021年下一次英国人口普查提供最佳实践方面。该项目还将扩大对与在线数据收集模式有关的数据质量问题的了解,特别关注受访者在调查完成过程中使用包括移动设备在内的不同设备的情况。这些发现将为知识提供信息,这些知识将导致在线数据收集的改进,并因此提高英国和其他国家的数据质量。这些结果将提高对在线调查中谁回答、谁不回答以及哪组受访者选择不同工具的了解,从而有助于调查从业人员努力提高答复率,减少调查误差和成本。该项目将直接使统计调查机构和来自多个部门的调查从业者受益,包括政府和公共部门、私营部门和志愿部门以及市场研究公司。它还将就如何最好地将不同设备数据纳入高级统计模型向研究人员提供建议。该项目将向今后需要收集数据的调查实践组织提供建议,以便更有效地评估大规模调查的数据质量。项目团队将与一系列国内和国际的统计机构和市场研究公司密切合作,以确保这项研究对调查实践和项目结果的直接影响产生好处。项目成果的传播将包括同行评议的期刊文章、在非学术伙伴机构的研讨会上以及在国家和国际会议上的陈述,以及短期课程和国际研究专题讨论会等活动。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The Future of Online Data Collection in Social Surveys: Challenges, Developments and Applications
社会调查在线数据收集的未来:挑战、发展和应用
  • DOI:
    10.1111/rssa.12895
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Maslovskaya O
  • 通讯作者:
    Maslovskaya O
What are the Characteristics of Respondents using Different Devices in Mixed-device Online Surveys? Evidence from Six UK Surveys
混合设备在线调查中使用不同设备的受访者有何特点?
Do respondents using smartphones produce lower quality data? Evidence from the UK Understanding Society mixed-device survey
使用智能手机的受访者是否会产生质量较低的数据?
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Olga Maslovskaya
  • 通讯作者:
    Olga Maslovskaya
Representativeness in Six Waves of Cross-National Online Survey (CRONOS) Panel
六波跨国在线调查(CRONOS)小组的代表性
  • DOI:
    10.1111/rssa.12801
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Maslovskaya O
  • 通讯作者:
    Maslovskaya O
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Olga Maslovskaya其他文献

The Interviewer Contribution to Variability in Response Times in Face-to-Face Interview Surveys
面对面访谈调查中访谈者对响应时间变异性的影响
Estimating mode Effects Using Propensity Score Methods in Community Life Survey
社区生活调查中使用倾向评分法估计模式效果
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Eliud Kibuchi;Olga Maslovskaya
  • 通讯作者:
    Olga Maslovskaya
A comparison of simple score and latent class approaches: application to HIV knowledge data in Chinese and multi-country contexts
简单评分法和潜在类别法的比较:在中国和多国背景下的艾滋病毒知识数据中的应用
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Olga Maslovskaya;Peter J. Smith;S. Padmadas
  • 通讯作者:
    S. Padmadas
Investigating call record data using sequence analysis to inform adaptive survey designs
使用序列分析调查通话记录数据,为自适应调查设计提供信息
Do Interviewers Moderate the Effect of Monetary Incentives on Response Rates in Household Interview Surveys?
在家庭访谈调查中,访谈员是否会调节金钱激励对回答率的影响?

Olga Maslovskaya的其他文献

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{{ truncateString('Olga Maslovskaya', 18)}}的其他基金

Transitioning from Interviewer-Administered Surveys to Online Data Collection: Experiences, Challenges and Opportunities (GenPopWeb 2 Network)
从访谈员管理的调查过渡到在线数据收集:经验、挑战和机遇(GenPopWeb 2 Network)
  • 批准号:
    ES/V001051/1
  • 财政年份:
    2020
  • 资助金额:
    $ 20.48万
  • 项目类别:
    Research Grant

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