Web Survey Bibliography
ln traditional offIine panels (for example consumer panels) the panel base is renewed in regular intervals to avoid the so called "panel effect". The panel effect can be described as follows: the panel is a continuous survey, which should describe the market reaction over time. This leads to the fact that people get used to the survey. As a result a bi as in answering and an unconscious change in the consumers behaviour occurs (dependent on the panel technique). This unconscious learning process of the interviewed persons leads to a bias of the desired results.
ln case of an online panel the initial position is basically different: The panel participants are not regularly interviewed to the same topic. but participate in all different kinds of surveys. Nevertheless there occur consistently concerns that the duration of the belonging to a panel might have an impact on the answering behaviour. The argument is, that a "professionalization" of the participants takes place, which leads to a bias of the answers. We would like to face this hypothesis by interviewing panel participants who just became a member of the panel and participants who have experience over some years. Both groups with the same structure are compared in respect to the willingness of participation, the average time of reaction, the duration of answering and at least the answering behaviour. The survey will give information if a panel effect exists and if so, if it can be applied for different kinds of questions on the same level.
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.