Web Survey Bibliography
Data collection is at the basis of quality in statistics. Technological developments make new data collection methods available, whereas others lose importance. While the Internet is already an established mode to collect data from businesses, only recently national statistical institutes have started considering web data collection for surveys among persons and households. At the moment several countries are developing Internet data collection for social surveys. There are two main reasons behind this innovation. The first is that Internet data collection is cheaper than traditional methods. The second reason is that many countries face decreasing response rates. Internet data collection could be helpful to stop this trend. A further reason, related to the last one, is that the public ask for it. An increasing number of persons have no problems participating in a survey as such, but do not like an interviewer at their door or on the telephone. They prefer to fill out the questionnaire when it is convenient for them. These drivers behind the development will probably gain strength in the near future, resulting in an acceleration of the process.
This discussion paper reflects on the possibilities to use web data collection for official statistics in household surveys and how this innovation process could be organised efficiently on EU level. The Labour Force Survey (LFS) is used as a case to illustrate challenges and potential pitfalls. It is a large scale survey with a high level of harmonisation among the Member States and therefore the potential cost savings are substantial. Furthermore, the LFS is already designed as a mixed mode survey in many countries; this allows the smooth introduction of a new data collection mode. And finally, the LFS plays a central role in the system of social statistics.
The paper focuses on the challenges ahead in official statistics regarding web data collection. At this stage, only major issues to address and organisational steps to be taken can be presented. It is still too early to give solid solutions or identify best practices.
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Web survey bibliography - Marketing/business (336)
- Improving the quality of complex surveys: The case of the EU Labour Force Survey ; 2012; van der Valk, J.
- Multi-Language Multi-Continent B2B Community Panel: How B2B research can effectively span the world; 2012; Morden, M., Accomando, E.
- Can Survey Gaming Techniques Cross Continents? Examining cross cultural reactions to creative questioning...; 2012; Puleston, J.
- Research Goes Mobile: Findings from initial smartphone application research; 2012; Dubreuil, C., Joubert, S.
- Probabilistic survey questions and incorrect answers: Retirement income replacement rates; 2012; van Santen, P., Alessie, R., Kalwij, A.
- Mobile Survey Participation Rates in Commercial Market Research: A Meta-Analysis; 2012; Bosnjak, M., Poggio, T., Becker, K. R., Funke, F., Wachenfeld, A., Fischer, B.
- “What a waste of time!” vs “Why not participate?” On sentiments by business...; 2012; Torres van Grinsven, V., Snijkers, G., Daas, P.
- A beginner's guide to DIY research ; 2012; Cates, T.
- The Reliability and Validity of Alternative Customer Satisfaction Measurement Scales in PC Web and Mobile...; 2012; Chrzan, K., Saunders, T.
- The Confirmit Annual Market Research Software Survey 2011; 2012; Macer, T., Wilson, S.
- How Likely?: Comparisons of Behavioral Intention Measurement Validity; 2012; Bremer, J., Thomas, R. K.
- Effects of Progress Indicators on Short Questionnaires; 2012; Sedley, A., Callegaro, M.
- Coverage error in internet surveys Can fixed phones fix it?; 2012; Vicente, P., Reis, E.
- Open-ended Questions in Web Surveys: One Large vs. Ten Small Boxes; 2012; Keusch, F.
- Effects of Pagination on Short Online Surveys; 2012; Sedley, A., Callegaro, M.
- Understanding selection bias in a worldwide, volunteer web-survey; 2012; Tijdens, K., Steinmetz, S.
- Market research online community (MROC) versus focus group; 2012; Zuber, M.
- FamilyVote – Conducting online surveys with children and families; 2012; Geissler, H., Peeters, H.
- The impact of two-stage highly interesting questions on completion rates and data quality in online...; 2012; Hansen, J. M., Smith, S. M.
- Using Webinar Polls to Collect Online Survey Data: The Case of a Behavioral Finance Problem; 2012; Sahu, C.
- Less questions, more data: Revitalizing the european currency in single source affluent audience measurement...; 2011; Hartman, H.
- Gender-specific on-line shopping preferences; 2011; Ulbrich, F., Christensen, T., Stankus, L.
- The Game Experiments: Researching how gaming techniques can be used to improve the quality of feedback...; 2011; Sleep, D., Puleston, J.
- Voice-of-the-customer marketing: A revolutionary 5-step process to create customers who care, spend,...; 2011; Roman, E.
- Unpublisihed internal Google report on break off rates by device type; 2011; Callegaro, M.
- The impact of cookie deletion on site-server and ad-server metrics in Australia. An empirical comScore...; 2011
- State of mobile measurement; 2011; Gluck, M.
- SDSC Announces scalable, high-performance data storage cloud; 2011
- Online survey research: Findings, best practices, and future research. Report prepared for the Advertising...; 2011; Vannette, D.
- Online survey research: Findings, Best practices, and future research; 2011
- New Esomar survey on use of cookies and tracking technologies; 2011
- Latent class analysis of survey error; 2011; Biemer, P. P.
- Just published: Forrester Wave™ of enterprise feedback management satisfaction and loyalty solutions...; 2011; McInnes, A.
- Involve while you evolve. How to make mobile research work for everyone; 2011; Luck, K.
- Harvard research data security policy; 2011
- GRE® program announces big benefits and big savings for GRE® test takers worldwide; 2011
- Going online with assessment; 2011; Burke, E., Mahoney-Phillips, J., Bowler, W., Downey, K.
- Global market research 2011; 2011
- A Survey Stopping Rule Based on Weighting for Unit Nonresponse; 2011; Lewis, T.
- How far is too far: Traditional, flash and gamification interfaces, and implications for the future...; 2011; Puleston, J., Malinoff, B.
- Effects of internet data collection in business surveys – the case of the Dutch SBS; 2011; Giesen, D.
- Apples and oranges: does a web survey produce similar results to social media tracking?; 2011; Bourque, C., Hobbs, R., Hilaire, D. S.
- Mixed methods designs in marketing research; 2011; Harrison, R. L., Reilly, T. M.
- Reflections on web based data collection in a mixed mode design: the case of the EU Labour Force Survey...; 2011; Kloek, W., van der Valk, J.
- Mobile Research Apps – Adding New Capabilities to Market Research; 2011; Rieber, D.
- Capturing affective experiences using the SMS Experience Sampling (SMS-ES) method.; 2011; Andrews, L., Russell-Bennett, R., Drennan, J.
- Quantifying Open-Ended Responses: Results from an Online Advertising Tracking Survey; 2011; Jacobe, A., Brewer, L., Vakalia, F., Turner, S., Marsh, S. M.
- Dissemination of survey (meta)data in the LISS data archive; 2011; Streefkerk, M., Elshout, S.
- Underreporting in Interleafed Questionnaires: Evidence from Two Web Surveys; 2011; Medway, R., Viera Jr., L., Turner, S., Marsh, S. M.
- A mixed mode pilot on consumer barometer; 2011; Taskinen, P., Simpanen, M.