Web Survey Bibliography
Volunteer opt-in panels dominate the Web survey research today, primarily because of low cost and speed of data collection. However, it is not clear how well the results obtained on such panels represent true population values. On the other hand, there exist large, probabilistically selected panels in both Germany and the US that promise statistically sound inference to the general population. However, such probabilistic panels are much more expensive to establish, maintain, and use, than the panels of volunteers. The research on comparability of the two methods is still lacking.
We conducted equivalent Web-based surveys on volunteer opt-in panels and on probabilistically selected panels of German and US population. The surveys included questions about various characteristics of the participants, such as numeracy and graphical literacy. The surveys also included experiments on the effects of different ways to present risk-related information on understanding and perception of risks.
In this paper, we compare the results from different panels in terms of: 1) estimates for prevalence of different characteristics in the population, 2) the effect sizes obtained in the experiments, 3) data quality, and 4) cost. We discuss the results in particular in respect to value-for-money of the different types of panels.
Web Survey Bibliography - Internet Survey Methodology workshop 2009 (24)
- Pictures in Web Surveys; 2009; Toepoel, V., Couper, M. P.
- National readership surveys: Moving from probability face-to-face surveys to Internet panels; 2009; Vehovar, V., Slavec, A., Petric, I., Sargac, M.
- Why don’t all Businesses report on Web?; 2009; Haraldsen, G.
- An experiment on the effects of non-response reweighting on estimators' precision in a web survey; 2009; Fabrizi, E., Biffignandi, S., Toninelli, D.
- Dynamic feedback in open-ended questions: Experiments on the visual design language of Web surveys; 2009; Fuchs, M.
- Effects of monetary incentives on participation in a two-wave online survey; 2009; Bandilla, W., Haas, I.
- Response Order and Response Distributions: The Format of the Response Options in a Web Survey; 2009; Tourangeau, R., Conrad, F. G., Couper, M. P., Balter, O.
- Anticipated estimation from a panel Web survey: the case of the presence of tourists in the Province...; 2009; Scaffai, G., Pratesi, M.
- Statistical analysis of on-line courses; 2009; Baelter, O.
- Methodological approaches of Web 2.0; 2009; Neubarth, W.
- Is this e-mail relevant? An eyetracking experiment on how potential respondents read e-mail invitations...; 2009; Kaczmirek, L., Faaß, T., Galesic, M.
- File transfer with built-in editing features; 2009; Erikson, J.
- From paper to internet: Design challenges when mixing modes in longitudinal surveys; 2009; Stax, H.-P., Thomsen, P.
- The Use of Audit Trails in Business Web Surveys; 2009; Snijkers, G., Morren, M.
- Comparing the results of Web surveys on volunteer versus probabilistically selected panels of participants...; 2009; Galesic, M.
- Yes, VASs can! Increasing the accuracy of survey measurements with computerized visual analogue scales...; 2009; Funke, F., Reips, U. -D.
- Using Mail Contact to Sample and Encourage Submission of Questionnaire Answers Over the Internet; 2009; Dillman, D. A., Messer, B. L., Millar, M. M.
- Improving the Design of Complex Matrix Questions; 2009; Couper, M. P., Tourangeau, R., Conrad, F. G.
- Interactive aspects of web surveys; 2009; Conrad, F. G.
- Use of Web surveys in Official Statistics; 2009; Bethlehem, J.
- Relations between functionality and usability of Web survey software tools: An empirical evaluation; 2009; Berzelak, N., Lozar Manfreda, K.
- Donations to charity as incentives in online panels; 2009; Goeritz, A.; Hox, J.
- Turning Grid Questions into Sequences in Business Web Surveys; 2009; Haraldsen, G., Bergstrøm, Y.
- The Electronic Questionnaire Experience in Business Surveys: mode effects on quality and on response...; 2009; Biffignandi, S., Siesto, G., Zeli, A.