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 - The Netherlands (226)
- Comparing Survey Results Obtained via Mobile Devices and Computers: An Experiment With a Mobile Web...; 2013; de Bruijne, M., Wijnant, A.
- Measuring Wages Worldwide: Exploring the Potentials and Constraints of Volunteer Web Surveys; 2013; Steinmetz, S., Raess, D., Tijdens, K., de Pedraza, P.
- A standard for test reliability in group research; 2013; Ellis, J. L.
- The comparison of road safety survey answers between web-panel and face-to-face; Dutch results of SARTRE...; 2013; Goldenbeld, C., de Craen, S.
- Mixed-mode including web: Recent developments at Statistics Netherlands; 2013; Luiten, A., Schouten, B.
- The smartphone in survey research: experiments for time use data; 2013; Fernee, H., Scherpenzeel, A.
- Exploring Response Differences between Face-to-Face and Web Surveys: A Qualitative Comparative Analysis...; 2013; Bennink, M., Moors, G., Gelissen, J.
- Sensitive topics in PC Web and mobile web surveys: Is there a difference?; 2012; Mavletova, A. M., Couper, M. P.
- Global market research 2012; 2012
- Online Surveys 2.0; 2012; Elferink, R.
- Especially for You: Motivating Respondents in an Internet Panel by Offering Tailored Questions; 2012; Oudejans, M.
- Improving the quality of complex surveys: The case of the EU Labour Force Survey ; 2012; van der Valk, J.
- 28 Questions to Help Buyers of Online Samples; 2012
- A Choice in Mode: A Solution for Increasing Response Rates of Hard-to-Survey Populations?; 2012; Haan, M., Ongena, Y. P.
- Better Answers to Basic Questions: Enhancing the accuracy of online reach and audience metrics; 2012; van Dam, P. H., van Ossenbruggen, R., Voorend, R.
- Probabilistic survey questions and incorrect answers: Retirement income replacement rates; 2012; van Santen, P., Alessie, R., Kalwij, A.
- Building Your Own Online Panel Via E-Mail and Other Digital Media; 2012; Toepoel, V.
- Disfluencies and Gaze Aversion in Unreliable Responses to Survey Questions; 2012; Schober, M. F., Conrad, F. G., Dijkstra, W., Ongena, Y. P.
- Recruiting A Probability Sample For An Online Panel: Effects Of Contact Mode, Incentives, And Information...; 2012; Scherpenzeel, A., Toepoel, V.
- Do Questions about Watching Internet Pornography Make People Watch Internet Pornography? A Comparison...; 2012; Peter, J., Valkenburg, P. M.
- “I think I know what you did last summer” Improving data quality in panel surveys; 2012; Lugtig, P. J.
- Tailoring the design of e-questionnaires to the response process: About audit trails and other methods...; 2012; Morren, M., Snijkers, G.
- Counting and Measuring Online: The Quality of Internet Surveys; 2012; de Leeuw, E. D.
- Time use data collection using Smartphones: Results of a pilot study among experienced and inexperienced...; 2012; Scherpenzeel, A., Sonck, N., Fernee, H.
- “What a waste of time!” vs “Why not participate?” On sentiments by business...; 2012; Torres van Grinsven, V., Snijkers, G., Daas, P.
- Challenges and pitfalls of measuring wages via web surveys - some explorations; 2012; Steinmetz, S., Bianchi, A., Tijdens, K., Biffignandi, S.
- Measuring work activities and skill requirements of occupations: Experiences from a European pilot study...; 2012; Tijdens, K., De Ruijter, E., De Ruijter, J.
- Innovation in online data collection for scientific research: the Dutch MESS project; 2012; Das, M.
- Clinicians’ Perspectives on a Web-Based System for Routine Outcome Monitoring in Old-Age Psychiatry...; 2012; Veerbeek, M. A., Voshaar, R. C. O., Pot, A. M.
- Question or Mode Effects in Mixed-Mode surveys: A Cross-cultural study in the Netherlands, Germany,...; 2012; de Leeuw, E. D., Nicolaas, G., Campanelli, P., Hox, J.
- Web Surveys: Methodological Problems and Research Perspectives; 2012; Biffignandi, S., Bethlehem, J.
- Understanding selection bias in a worldwide, volunteer web-survey; 2012; Tijdens, K., Steinmetz, S.
- The Representativity of Web Surveys of the General Population compared to Traditional Modes and Mixed...; 2012; Klausch, L. T., Schouten, B., Hox, J.
- Time use data collection using Smartphones: Results of a pilot study among experienced and inexperienced...; 2012; Scherpenzeel, A., Sonck, N., Fernee, H., Morren, M.
- Matrix vs. Single Question Formats in Web Surveys: Results from a large scale experiment; 2012; Klausch, L. T., de Leeuw, E. D., Hox, J., de Jongh, A., Roberts , A.
- Reminders in Web-Based Data Collection: Increasing Response at the Price of Retention?; 2012; Goeritz, A., Crutzen, R.
- Response rate of bricklayers and supervisors on an internet or a paper-and-pencil questionnaire; 2012; Boschman, J. S., Frings-Dresen, M. H. W., Sluiter, J. K., van der Molen, H. F.
- Testing the Validity of Gender Ideology Items by Implementing Probing Questions ; 2012; Behr, D., Braun, M., Kaczmirek, L., Bandilla, W.
- Global market research 2011; 2011
- Essential methods for design based sample surveys; 2011; Pfeffermann, D., Rao, C. R.
- Text string matching to measure occupations in web-surveys; 2011; Tijdens, K.
- 2nd WEBDATANET Meeting Amsterdam. Global Data Collecting; 2011; van Beveren, I.
- Web based Data Collection – A Jungle becoming a Field or a Field becoming a Jungle? ; 2011; Ole Finnemann, N.
- Online Surveys: Past, Present, and Future; 2011; de Leeuw, E. D.
- Panel Recruitment via Facebook; 2011; Toepoel, V.
- Dropout rates during completion of an occupation search tree in web-surveys; 2011; Tijdens, K.
- Disentangling relative mode effects for the web survey mode in the Safety Monitor; 2011; Schouten, B., van de Brakel, J., Buelens, B., Klausch, L. T., van der Laan, J.
- Combining web surveys and XBRL ; 2011; Roos, M.
- Developing Electronic Questionnaires at Statistics Canada: Experiences and Challenges in a Changing...; 2011; Lawrence, D.
- Effects of internet data collection in business surveys – the case of the Dutch SBS; 2011; Giesen, D.
