Web Survey Bibliography
Title Quantitative testing of the most effective advance communication strategies for a mixed mode (including online) UK Labour Force Survey
Author Phelps, A.
Year 2017
Access date 08.09.2017
Abstract With the rise of available web services more generally, the UK public have come to expect to be able to engage with government via digital channels. The UK government is very aware of this demand and has in turn established the Government Digital Service (GDS) which is leading the digital transformation of government.
Over the last decade ONS has conducted numerous qualitative and quantitative investigations into online questionnaire development for Social Surveys and successfully implemented an online completion mode for the 2011 Census. Previous research and past experience has highlighted the need for an extensive research programme to support successful introduction of online data collection, looking at the short and long term opportunities and goals.
The Data Collection Transformation Programme at ONS will transform ONS data collection into a more dynamic and efficient model, maximising the use of non-survey data sources and digital by default collection of data in the production of National and Official Statistics. For Social Surveys this means that ONS needs to deliver a redesigned social statistics model, as well as transformed end-to-end systems.
ONS conducts a number of UK household surveys that feed into a number of important National Statistics indicators. The largest survey that ONS conducts is The Labour Force Survey (LFS) (and sample boost), which is the largest UK household survey, resulting in around 400,000 productive household interviews per annum. The survey is used to produce a range of high profile cross-sectional and longitudinal labour market and Annual Population Survey datasets that are widely used for analysis and publications in the UK and Europe, including for the monthly estimates of labour market supply (including estimates of change in the employment and unemployment rates). The survey is currently governed by European Regulations.
Currently the survey is being redesigned to enable multi-mode data collection and specifically to enable on-line data collection. Qualitative development methodologies have been used by survey methodologists at ONS to elicit the best advance survey documentation and LFS question wording to suit online collection.
ONS is now quantitatively testing the most effective advance documentation strategies via a series of large scale online surveys using revised LFS question wording. The testing work will establish the optimal way of introducing an online LFS survey to the general public.
This presentation set out plans for ongoing quantitative research. It will discuss some of the research findings and challenges faced to date and those that we foresee to be on the horizon. We invite discussion and encourage others to share their experiences and recommendations with us.
Over the last decade ONS has conducted numerous qualitative and quantitative investigations into online questionnaire development for Social Surveys and successfully implemented an online completion mode for the 2011 Census. Previous research and past experience has highlighted the need for an extensive research programme to support successful introduction of online data collection, looking at the short and long term opportunities and goals.
The Data Collection Transformation Programme at ONS will transform ONS data collection into a more dynamic and efficient model, maximising the use of non-survey data sources and digital by default collection of data in the production of National and Official Statistics. For Social Surveys this means that ONS needs to deliver a redesigned social statistics model, as well as transformed end-to-end systems.
ONS conducts a number of UK household surveys that feed into a number of important National Statistics indicators. The largest survey that ONS conducts is The Labour Force Survey (LFS) (and sample boost), which is the largest UK household survey, resulting in around 400,000 productive household interviews per annum. The survey is used to produce a range of high profile cross-sectional and longitudinal labour market and Annual Population Survey datasets that are widely used for analysis and publications in the UK and Europe, including for the monthly estimates of labour market supply (including estimates of change in the employment and unemployment rates). The survey is currently governed by European Regulations.
Currently the survey is being redesigned to enable multi-mode data collection and specifically to enable on-line data collection. Qualitative development methodologies have been used by survey methodologists at ONS to elicit the best advance survey documentation and LFS question wording to suit online collection.
ONS is now quantitatively testing the most effective advance documentation strategies via a series of large scale online surveys using revised LFS question wording. The testing work will establish the optimal way of introducing an online LFS survey to the general public.
This presentation set out plans for ongoing quantitative research. It will discuss some of the research findings and challenges faced to date and those that we foresee to be on the horizon. We invite discussion and encourage others to share their experiences and recommendations with us.
Access/Direct link Conference Homepage (abstract) / (presentation)
Year of publication2017
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography - Marketing/business (336)
- Achieving Strong Privacy in Online Survey; 2017; Zhou, Yo.; Zhou, Yi.; Chen, S.; Wu, S. S.
- Where, When, How and with What Do Panel Interviews Take Place and Is the Quality of Answers Affected...; 2017; Niebruegge, S.
- Is There a Future for Surveys; 2017; Miller, P. V.
- Mobile Research im Kontext der digitalen Transformation; 2017; Friedrich-Freksa, M.
- Virtual reality meets sensory research; 2017; Depoortere, L.
- Online customer journey analysis: a data science toolbox; 2017; Bonnay, D.
- Comparing Twitter and Online Panels for Survey Recruitment of E-Cigarette Users and Smokers; 2016; Guillory, J.; Kim, A.; Murphy, J.; Bradfield, B.; Nonnemaker, J.; Hsieh, Y. P.
- Statistical Design for Online Experiments Across Desktops, Tablets, Smartphones (and Maybe Wearable...; 2016; Qian, P.; Sadeghi, S.; Arora, N. K.
- FocusVision 2015 Annual MR Technology Report; 2016; Macer, T., Wilson, S.
- The Effects of a Delayed Incentive on Response Rates, Response Mode, Data Quality, and Sample Bias in...; 2016; McGonagle, K., Freedman, V. A.
- A look at the unique data-gathering process behind the Harvard Impact Study; 2016; Vitale, J.
- Are sliders too slick for surveys?; 2016; Buskirk, T. D.
- Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk; 2016; Berinsky, A.; Huber, G. A.; Lenz, G. S.
- Web-based versus Paper-based Survey Data: An Estimation of Road Users’ Value of Travel Time Savings...; 2016; Kato, H.; Sakashita, A.; Tsuchiya, Tak.
- An Examination of Opposing Responses on Duplicated Multi-Mode Survey Responses; 2016; Djangali, A.
- Scientific Surveys Based on Incomplete Sampling Frames and High Rates of Nonresponse; 2016; Fahimi, M.; Barlas, F. M.; Thomas, R. K.; Buttermore, N. R.
- Adapting Labour Force Survey questions from interviewer-administered modes for web self-completion in...; 2015; Betts, P.; Cubbon, B.
- Internet Panels, Professional Respondents, and Data Quality; 2015; Matthijsse, S.; De Leeuw, E. D.; Hox, J.
- Are they willing to use the web? First results of a possible switch from PAPI to CAPI/CAWI in an establishment...; 2015; Ellguth, P.; Kohaut, S.
- GreenBook Research Industry Trends Report; 2015; Murphy, L. (Ed.)
- The role of gamification in better accessing reality and hence increasing data validity ; 2015; Bailey, P.; Kernohan, H.; Pritchard, G.
- Rewarding the Truth; 2015; Puleston, J.
- Impact of raising awareness of respondents on the measurement quality in a web survey; 2015; Revilla, M.
- Email subject lines and response rates to invitations to participate in a web survey and a face-to-face...; 2015; Sappleton, N.; Lourenco, F.
- Can a non-probabilistic online panel achieve question quality similar to that of the European Social...; 2015; Revilla, M.; Saris, W. E.; Loewe, G.; Ochoa, C.
- Mode Effects in Mixed-Mode Economic Surveys: Insights from a Randomized Experiment; 2015; Hsu, J. W.; McFall, B. H.
- Web-based survey, calibration, and economic impact assessment of spending in nature based recreation; 2015; Paudel, K. P., Devkota, N., Gyawali, B.
- The Influence of Answer Box Format on Response Behavior on List-Style Open-Ended Questions; 2014; Keusch, F.
- Improving Survey Response Rates in Online Panels Effects of Low-Cost Incentives and Cost-Free Text Appeal...; 2014; Pedersen, M. J., Nielsen, C. V.
- Matrix versus paging designs in a brand attribution task; 2014; Conrad, F. G., McCullough, W., Nishimura, R.
- Internet-Based Surveys: Methodological Issues; 2014; Albaum, G., Brockett, P., Golden, L., Han, V., Roster, C. A., Smith, S. M., Wiley, J. B.
- Use of a Google Map Tool Embedded in an Internet Survey Instrument: Is it a Valid and Reliable Alternative...; 2014; Dasgupta, S., Vaughan, A. S., Kramer, M. R., Sanchez, T. H., Sullivan, P. S.
- Sequential or Simultaneous Multi-Mode? Results from Two Large Surveys of Electric Utility Consumers; 2014; Jackson, C., Ledoux, C.
- Targeting the bias – the impact of mass media attention on sample composition and representativeness...; 2014; Steinmetz, S., Oez, F., Tijdens, K. G.
- Exploring selection biases for developing countries - is the web a promising tool for data collection...; 2014; Tijdens, K. G., Steinmetz, S.
- Measuring the very long, fuzzy tail in the occupational distribution in web-surveys; 2014; Tijdens, K. G.
- Moving answers with the GyroScale: Using the mobile device’s gyroscope for market research purposes...; 2014; Luetters, H., Kraus, M., Westphal, D.
- Clicking vs. Dragging: Different Uses of the Mouse and Their Implications for Online Surveys; 2014; Sikkel, D., Steenbergen, R., Gras, S.
- Innovation for television research - online surveys via HbbTV. A new technology with fantastic opportunities...; 2014; Herche, J., Adler, M.
- Online mobile surveys in Italy: coverage and other methodological challenges; 2014; Poggio, T.
- How Sliders Bias Survey Data; 2013; Sellers, R.
- Survey Research Response Rates: Internet Technology vs. Snail Mail ; 2013; Lanier, P. A., Tanner, J. R., Totaro, M. W., Gradnigo, G.
- The impact of New Zealand's 2008 prohibition of piperazine-based party pills on young people'...; 2013; Sheridan, J., Dong, C. Y., Butler, R., Barnes, J.
- How well do volunteer web panel surveys measure sensitive behaviours in the general population, and...; 2013; Erens, B., Burkill, S., Copas, A., Couper, M. P., Conrad, F.
- Effects of Gamification on Participation and Data Quality in a Real-World Market Research Domain ; 2013; Cechanowicz, J., Gutwin, C., Brownell, B., Goodfellow, L.
- Ideal participants in online market research: Lessons from closed communities; 2013; Heinze, A., Ferneley, E., Child, P.
- Online, face-to-face and telephone surveys—Comparing different sampling methods in wine consumer...; 2013; Szolnoki, G., Hoffmann, D.
- Where does the Fair Trade price premium go? Confronting consumers' request with reality; 2013; Langen, N., Adenaeuer, L.
- Customer satisfaction in Web 2.0 and information technology development; 2013; Sharma, G., Baoku, L.
- Research staff and public engagement: a UK study; 2013; Davies, S.