Web Survey Bibliography
Online deception (e.g., gender switching) is a potential problem in internet science. Because of the anonymity and the spatial distance to the experimenter, types of deception like category deception, attractiveness deception or identity concealment can easily be achieved in online studies. Considering possibilities to deal with this thread, two questions need to be asked. First is there a motivation for the type of deception in the context of the study and second is there any pos~1ibility lo check participants' data for accuracy (e.g. online address books).
Nine online studies (7 online questionnaire studies [restricted and unrestricted]; 2 online interview studies [different instant messengers]) were analysed related to online deception on sex and age. All studies had a serious scientific background find weren't related to issues who could encourage deception like personal appearance or mating strategies. Validation has been made through online available address books and data from registrations (e.g., in panels).
The results revealed that gender switching (M=1.9%, Range 0.0% to 6.3%) as well as age deception (M = 5.4%; Range 0.0% to 9.4%) were rare events although it can not entirely be clarified if deception is on purpose or maybe occurred because of borrowing one's account to a friend or colleague. Although it seems likely that the motivation to fake data is low in the context of scientific online studies.
Web Survey Bibliography - General Online Research Conference (GOR) 2007 (37)
- Online Factorial Surveys as an Approach for International Comparative Research; 2007; Berger, R., Burek, M.
- Pure Text vs. HTML in Email Invitations; 2007; Neubarth, W., Kaczmirek, L., Hellwig, O.
- The Usage of Magnitude Estimation Scales in Online Surveys - Results of a Joint Project; 2007; Althoff, S., Dumke, U.
- The Influence of Regulatory Focus and Other Personality Traits on the Participation in Online Surveys...; 2007; Stratmann, C., Verheyen, C.
- "Dirty Politics" Web Experiments on the Effects of Negative Communication Actions ; 2007; Tatzl, G.
- A Comparison of Visual Analog and Graphic Rating Scales ; 2007; Thomas, R. K., Couper, M. P.
- The Best of Intentions: Response Format Effects on Measures of Behavioral lntention ; 2007; Thomas, R. K., Klein, J. D., Behnke, C. S., Terhanian, G.
- New Market Insights by Analysing Public Online Communication ; 2007; Troemel, M.
- Media usage in the age of Web 2.0 ; 2007; Trump, T., Spahlinger, M. P.
- The impact of the duration of affiliation and the intensity of questioning on the willingness of participation...; 2007; Wachenfeld, A.
- From "Innavators" to "Laggards" - Diffusion of Unrestricted Surveys on the Web ; 2007; Wolsing, A., Faas, T.
- Is it all rubbish? Credibility of answers in web surveys ; 2007; Zajac, J., Rakocy, K., Nowak, A.
- Quality of Online Research: Does it Improve Results? ; 2007; Lindemann, M.
- SniperScale: Graphical scaling in data collection and its effect on the response behaviour of participants...; 2007; Luetters, H., Westphal, D., Heublein, F.
- Good intentions are very popular. They can always be used again. On forecasting of product potential...; 2007; Melles, T., Puetzfeld, S.
- testMaker An Open Source Tool for Web-based Aptitude Testing ; 2007; Milbradt, A., Zimmerhofer, A., Hornke, L. F.
- New Access to Information laws in Germany - a big bang for Computer-Assisted Reporting (CAR)? ; 2007; Redelfs, M.
- VASgenerator.net - A Web-Based Tool for Creating Visual Analogue Scales ; 2007; Reips, U. -D., Funke, F.
- Participation Motives of Online Panellists ; 2007; Rodenhausen, T., Kaufmann, G., Hartmann, A.
- Online research praxis: the role of online research at Yahoo! ; 2007; Gonzales, R.
- Reducing social desirability bias through indirect questioning in scena rios: When does it work in online...; 2007; Snijders, C., Matzat, U.
- Is Online Deception Really a Threat to Data Quality in Online Studies? Results from a Review; 2007; Stieger, S.
- Subjective Anonymity in Online-Surveys ; 2007; Strassnig, B.
- B2B Online Research in China ; 2007; Bumann, B.
- Peeping Over Computers The Slovenian Internet Audience Measurement Mix Model ; 2007; Cucin, P., Kropivnik, S., Hocevar, J.
- Can Open-Source Survey Tools be used in Wleb-based Market Research? ; 2007; Frichter, C.
- Dynamic Forms: Online Surveys 2.0 ; 2007; Funke, F., Reips, U. -D.
- Online Research 2.0 » Join the MindVoyage ; 2007; Gadeib, A., Lichter, C.
- Using Change to Improve Navigation in Grid Questions ; 2007; Galesic, M., Tourangeau, R., Couper, M. P., Conrad, F. G.
- The High Hurdie Technique Put to the Test: Do Artificially Increased Loading Times Enhance Data Quality...; 2007; Goeritz, A., Stieger, S.
- A closer look at the effect of recruitment methods on data quality for online panel surveys ; 2007; Irmer, C., Wenzel, O., Peichl, M.
- Sample and Method Effects: A Comparison between Off-line and On-line Collected Data ; 2007; Jarchow, C.
- Documentation of Online Surveys ; 2007; Kaczmirek, L., Neubarth, W., Bandilla, W., Watteler, O.
- Putting Social Psychological lncentives to Work: Motivation and Non-Monetary Incentives in Online Information...; 2007; Antin, J., Cheshire, C.
- The Impact of Screen Size and Background Color on Response in Web Surveys ; 2007; Baker, R. P., Couper, M. P.
- On whom do we rely? Personality traits and nonresponse in an online surve ; 2007; Bipp, T.
- Choice-Based Conjoint Analysis on the Internet: How Complex Should the Tasks Be? ; 2007; Brocke, M.