Web Survey Bibliography
In surveys, individuals tend to misreport behaviors that are in contrast to prevalent social norms or regulations. Several design features of the survey procedure have been suggested to counteract this problem; particularly, computerized surveys are supposed to elicit more truthful responding. This assumption was tested in a meta-analysis of survey experiments reporting 460 effect sizes (total N =125,672). Self-reported prevalence rates of several sensitive behaviors for which motivated misreporting has been frequently observed were compared across self-administered paper-and-pencil versus computerized surveys. The results revealed that computerized surveys led to significantly more reporting of socially undesirable behaviors than comparable surveys administered on paper. This effect was strongest for highly sensitive behaviors and surveys administered individually to respondents. Moderator analyses did not identify interviewer effects or benefits of audio-enhanced computer surveys. The meta-analysis highlighted the advantages of computerized survey modes for the assessment of sensitive topics.
Web survey bibliography - Behavior Research Methods (16)
- Use of Internet panels to conduct surveys; 2015; Kapteyn, A.; Liu, H., D.Hays, R. D.
- QRTEngine: An easy solution for running online reaction time experiments using Qualtrics; 2014; Barnhoorn, J. S., Haasnoot, E., Bocanegra, B. R., van Steenbergen, H.
- Disclosure of sensitive behaviors across self-administered survey modes: a meta-analysis; 2014; Gnambs, T., Kaspar, K.
- Build your own social network laboratory with Social Lab: a tool for research in social media; 2014; Garaizar, P., Reips, U.-D.
- A standard for test reliability in group research; 2013; Ellis, J. L.
- Why do you play? The development of the motives for online gaming questionnaire (MOGQ); 2011; Demetrovics, Z., Urbán, R., Nagygyörgy, K., Farkas, J., Zilahy, D., Mervó, B., Reindl, A., Agoston,...
- Seriousness Checks are Useful to Improve Data Validity in Online Research; 2010; Diedenhofen, D., Aust, F., Ullrich, S., Musch, J.
- Differences in responses to Web and paper surveys among school professionals; 2010; Yetter, G., Capaccioli, K.
- Making small effects observable: Reducing error by using visual analogue scales; 2009; Funke, F., Reips, U.-D.
- Comparison of ability tests administered online and in the laboratory; 2009; Marten Ihme, J., Lemke, F., Lieder, K., Martin, F., C. C., Schmidt, Sa., Mueller, J. C.
- A decade of Internet-based data collection: Time is ripe for combining e-learning with i-science; 2009; Reips, U.-D.
- The effect of varying the number of response alternatives in rating scales: Experimental evidence from...; 2009; Maydeu-Olivares, A., Kramp, U., García-Forero, C., Gallardo-Pujol, D., Coffman, D.
- Timing accuracy of Web experiments: A case study using the WebExp software package; 2009; Keller, F., Gunasekharan, S., Mayo, N., Corley, M.
- Using the World-Wide Web to obtain large-scale word norms: 190,212 ratings on a set of 2,654 German...; 2009; Lahl, O., Goeritz, A., Pietrowsky, R., Rosenberg, J.
- Individual payments as a longer-term incentive in online panels ; 2008; Goeritz, A., Wolff, H.-G., Goldstein, D. G.
- The Web experiment list: A Web service for the recruitment of participants and archiving of Internet...; 2005; Reips, U. -D., Lengler, R.