Web Survey Bibliography
Visual analogue scales (VASs) are graphic rating scales especially suited for selfadministered Web surveys. Theoretical reasoning and findings from paper-based research advocate the use of VASs that promise data on the interval level and a reliable measurement. Nevertheless, VASs lead a shadowy existence, mainly being used in medical research but seldom for surveying the general population. Even though VASs lend themselves for computerized assessment, only few studies have been conducted on the Web (e.g. Couper, Tourangeau, Conrad, & Singer 2006; Reips & Funke 2008; Turpin et al. 2003; van Schaik & Ling 2007). This may be because those in charge of designing surveys are unsure whether respondents can use this kind of rating scale in a meaningful way. To resolve the uncertainty, we report a systematic simulation and two empirical studies on the error following from the use of VASs in comparison to error following from the use of categorical scales. More precisely, we examine formatting error, the difference between true and reported value caused by the available rating scale.
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.