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 (6359)
- Benchmarking for better surveys; 2012; Nallan, S.
- An experimental investigation of the effects of noncontingent and contingent incentives in recruiting...; 2012; Lavrakas, P. J., Dennis, J. M., Peugh, J., Shand-Lubbers, J., Lee, E., Peugh, J., Charlebois, O., Murakami...
- Adult gadget ownership over time (2006-2012); 2012
- Subjective Well-being Of Spanish Workers: Continuous Voluntary Web Survey Examination; 2012; de Pedraza, P., Guzi, M.
- 28 Questions to Help Buyers of Online Samples; 2012
- 2010 ACS Content Test Evaluation Report Covering Computer and Internet ; 2012; Shin, H. B.
- Specific mixed-mode methodology to reach sensory disabled people in quantitative surveys; 2012; Fontaine, S.
- Response Mode Choice and the Hard-to-Interview in the American Community Survey; 2012; Nichols, E. M., Horwitz, R., Guarino Tancreto, J.
- Recruiting in an Internet panel using respondent driven sampling; 2012; Schonlau, M.
- A Choice in Mode: A Solution for Increasing Response Rates of Hard-to-Survey Populations?; 2012; Haan, M., Ongena, Y. P.
- The Feasibility of Conducting a Web Survey Using Respondent Driven Sampling among Transgenders in the...; 2012; Kappelhof, J.
- The role of topic interest and topic salience in online panel web surveys.; 2012; Keusch, F.
- 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.
- Facing The Future Webcams as a survey tool in China; 2012; Gordon, A., Llewellyn, T., Gu, E.
- Device Diversity: Understanding the complexity of varied devices for taking surveys – Case study...; 2012; Pearson, C., Backlund, K., Veling, L., Tsvelik, M., Jehoel, S.
- Research Goes Mobile: Findings from initial smartphone application research; 2012; Dubreuil, C., Joubert, S.
- Research in the Mobile Mindset: Exploring the unexplored in the mobile research space; 2012; Willems, A., Veris, E., Verhaeghe, A.
- Better Answers to Basic Questions: Enhancing the accuracy of online reach and audience metrics; 2012; van Dam, P. H., van Ossenbruggen, R., Voorend, R.
- Rules of engagement: The war against poorly engaged respondents - guidelines for elimination; 2012; Gittelman, S. H., Trimarchi, E.
- Reality check in the digital age: The relationship between what we ask and what people actually do; 2012; Hofmeyr, J., Louw, A.
- Website Versus Traditional Survey Comments: Do they tell the same story?; 2012; Brandt, R., House, M.
- Dimensions of Online Survey Data Quality What really matters?; 2012; Puleston, J., Eggers, M.
- WEBDATANET: web-based data-collection methodological challenges, solutions and implementations. Action...; 2012; de Pedraza, P.
- WebSM Study: Survey software features overview ; 2012; Vehovar, V.; Cehovin, G.; Kavcic, L.; Lenar, J.
- Web Panels; 2012; Bethlehem, J., Biffignandi, S.
- Use of Response Propensities; 2012; Bethlehem, J., Biffignandi, S.
- Weighting Adjustment Techniques; 2012; Bethlehem, J., Biffignandi, S.
- The Problem of Self-Selection; 2012; Bethlehem, J.,Biffignandi, S.
- The Problem of Undercoverage; 2012; Bethlehem, J., Biffignandi, S.
- Mixed-Mode Surveys; 2012; Bethlehem, J., Biffignandi, S.
- Designing a Web Survey Questionnaire; 2012; Bethlehem, J., Biffignandi, S.
- Examining Contexts-of-Use for Web-Based and Paper-Based Questionnaires; 2012; Hardré, P. L., Crowson, H. M., Xie, K.
- Probabilistic survey questions and incorrect answers: Retirement income replacement rates; 2012; van Santen, P., Alessie, R., Kalwij, A.
- Survey Quality; 2012; Lyberg, L. E.
- Combining Mail and E-Mail Contacts to Facilitate Participation in Mixed-Mode Surveys; 2012; Israel, G. D.
- Effects of E-Mailed Versus Mailed Invitations and Incentives on Response Rates, Data Quality, and Costs...; 2012; Dykema, J., Stevenson, J., Klein, L., Kim, Y., Day, B.
- Prenotification, Incentives, and Survey Modality: An Experimental Test of Methods to Increase Survey...; 2012; Tepper, J. R., Jacob, B.
- Measuring Work Activities and Skill Requirements of Occupations: Experiences from a European Pilot Study...; 2012; Tijdens, K., De Ruijter, E., De Ruijter, J.
- Using Free Online Survey Software in Your Teaching; 2012; Chippindall, J.
- Reaching and Hearing the Invisible: Organizational Research on Invisible Stigmatized Groups via Web...; 2012; Trau, R. N. C., Haertel, C. E. J., Haertel, G. F.
- Comparability of Survey Measurements; 2012; Oberski, D.
- Why People Agree to Participate in Surveys; 2012; Albaum, G., Smith, S. M.
- Unit Non-Response Due to Refusal; 2012; Stoop, I.
- Classification of Surveys; 2012; Stoop, I., Harrison, E.
- What Survey Modes are Most Effective in Eliciting Self-Reports of Criminal or Delinquent Behavior?; 2012; Kleck, G., Roberts, K.
- Non-Response and Measurement Error; 2012; Billiet, J., Matsuo, H.
- An Overlooked Approach in Survey Research: Total Survey Error; 2012; Bautista, R.
- An assessment of equivalence between Internet and paper-based surveys: evidence from collectivistic...; 2012; Fang, J., Wen, C., Prybutok, V.
- Effects of Incentives in Surveys; 2012; Toepoel, V.