Web Survey Bibliography
Since it gets more difficult to compensate panel mortality with the recruitment of fresh panelists, panel maintenance is becoming more and more important. The challenge is to increase panelists’ commitment by basically giving them more positive experiences than negative ones. Probably one of the worst experiences panelists can have is being frequently screened out, as the shown willingness to participate leads to immediate disappointment. The application of a master screener helps to preselect panelists more precisely and thus to sustain panelists’ commitment. In our contribution, we would like to present first evidencesthat the use of a master screener not only improves panel performance, but furthermorealso has a positive impact on data quality.
In our case study, we compared two groups of panel members. The first group had been pre-selected for each study by participating in a master screener, while the second group had been screened separately after entering each survey. In a common survey without screening conditions both groups are asked to answer the same questions. Our comparison of both groups extends over indicators of panel performance like response-rate and break-off-rate, but also on data quality and user feedback. Differences in these variables are assumed to be caused by the experience of participation in the master screener.
In both groups overall satisfaction with panel membership is correlated with the subjectively perceived frequency of survey termination. Participants in the Masterscreener were more satisfied with the frequency of termination, as well as with other aspects of panel membership. Therefore, we expect a confounding influence of three variables on the perceived frequency of termination. Regarding the probability of participating in further surveys and recommending the panel-membership, the participants in the Masterscreener had a more positive attitude. The observed differences between both groups make us confident, that we will be able to identify further positive effects inthe intermediate and long term.
Our case study sheds some light on the effects of a master screener on the intermediateterm(e.g. data quality, response rates, satisficing behaviour) and in the longterm(panelist commitment, panel mortality).
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Web Survey Bibliography - Germany (456)
- Measuring working conditions in a volunteer web survey; 2013; de Pedraza, P., Villacampa, A.
- Sampling online communities: using triplets as basis for a (semi-) automated hyperlink web crawler.; 2013; Veny, Y.
- Prison break: Releasing offline experiments from methodological constraints by transforming them into...; 2013; Förstel, H., Manthei, K., Mohnen, A., Berger, G.
- Comparison of psychometric properties of internet versions of the Marlowe-Crowne Social Desirability...; 2013; Vesteinsdottir, V., Reips, U. -D., Joinson, A. N., Porsdottir, F.
- Why are you leaving me?? - Personality predictors of answering drop out in an online-study; 2013; Thielsch, M., Nestler, S., Back, M.
- Propensity Score Weighting – Can Personality Adjust for Selectivity?; 2013; Glantz, A., Greszki, R.
- Research Design as an Influencing Factor for Reliability in Online Market Research; 2013; Wengrzik, J., Theuner, G.
- Ethics, privacy and data security in web-based course evaluation; 2013; Salaschek, M., Meese, C., Thielsch, M.
- Seducing the respondent – how to optimise invitations in on-site online research?; 2013; Póltorak, M., Kowalski, J.
- Influence of mobile devices in online surveys; 2013; Maxl, E., Baumgartner, T.
- E-questionnaire in cross-sectional household surveys; 2013; Karaganis, M.
- GESIS Online Panel Pilot: Results from a Probability-Based Online Access Panel; 2013; Kaczmirek, L., Bandilla, W., Schaurer, I., Struminskaya, B., Weyandt, K.
- Online Survey – Research with children on advertising impact; 2013; Funkenweh, V., Busch, J., Amthor, A. L., Boeer, A., Gaedke, J.
- HTML5 and mobile Web surveys: A Web experiment on new input types; 2013; Funke, F.
- Metadata on the demographics of online research: Results from a full-range study of available online...; 2013; Burger, C., Stieger, S.
- How the screen-out influence the dropout of a commercial panel; 2013; Bartoli, B.
- Beyond methodology - some ethical implications of "doing research online"; 2013; Heise, N.
- Innovation in Data Collection: the Responsive Design Approach; 2013; Bianchi, A., Biffignandi, S.
- Break-off and attrition in the GIP amongst technologically experienced and inexperienced participants...; 2013; Blom, A. G., Bossert, D., Clark, V., Funke, F., Gebhard, F., Holthausen, A., Krieger, U., Wachenfeld...
- Nonresponse and Nonresponse Bias in a Probability-Based Internet Panel; 2013; Blom, A. G., Bossert, D., Funke, F., Gebhard, F., Holthausen, A., Krieger, U.
- Rewards - Money for Nothing?; 2013; Cape, P. J., Martin, P.
- Effects of incentive reduction after a series of higher incentive waves in a probability-based online...; 2013; Struminskaya, B., Kaczmirek, L., Schaurer, I., Bandilla, W.
- Timing of Nonparticipation in an Online Panel: The effect of incentive strategies; 2013; Douhou, S., Scherpenzeel, A.
- How Do Lotteries and Study Results Influence Response Behavior in Online Panels?; 2013; Goeritz, A., Luthe, S. C.
- Sample composition discrepancies in different stages of a probability-based online panel; 2013; Bosnjak, M., Haas, I., Galesic, M., Kaczmirek, L., Bandilla, W., Couper, M. P.
- Metering mobile usage. Insights from global Arbitron mobile trends panel; 2012; Verkasalo, H.
- Is „chapterisation“ a viable alternative to traditional progress indicators ?; 2012; Spicer, R., Dowling, Z.
- Online Questionnaires: Development of ‘basic requirements’; 2012; Tries, S., Blanke, K.
- Pros and cons of Internet based User Satisfaction Surveys; 2012; Consoli, A., Matsulevits, L.
- Between demand and reality: Ensuring efficiency and quality in pretesting questionnaires; 2012; Sattelberger, S., Blanke, K.
- How to provide high data quality in online-questionnaires: Setting guidelines in design; 2012; Tries, S., Nebel, S., Blanke, K.
- WebSM Study: Survey software features overview ; 2012; Vehovar, V.; Cehovin, G.; Kavcic, L.; Lenar, J.
- Challenges of assessing the quality of a prerecruited probability-based panel of internet users in...; 2012; Struminskaya, B., Kaczmirek, L.
- Item comparability in cross-national surveys: results from asking probing questions in cross-national...; 2012; Behr, D., Braun, M., Kaczmirek, L., Bandilla, W.
- Assessing Cross-National Equivalence of Measures of Xenophobia: Evidence from Probing in Web Surveys; 2012; Behr, D., Braun, M., Kaczmirek, L.
- Mobile Befragungen: Was Big Data mit kleinen Geräten zu tun hat; 2012
- Item non-response in open-ended questions: Who does not answer on the meaning of left and right?; 2012; Scholz, E., Zuell, C.
- Innovation der Online-Datenerhebung für wissenschaftliche Forschungen. Das niederländische MESS-Projekt...; 2012; Das, M.
- Comparing Ranking Techniques in Web Surveys; 2012; Blasius, J.
- Design of CAWI Instruments for Social Surveys ; 2012; Blanke, K.
- Enhancing Web Surveys With New HTML5 Input Types; 2012; Funke, F.
- GESIS Online Access Panel Pilot Study: Recruitment and Panel Maintenance; 2012; Kaczmirek, L., Bandilla, W., Schaurer, I., Struminskaya, B., Weyandt, K.
- The German Internet Panel: First Results from the Recruitment Phases; 2012; Blom, A. G.
- Assessing the Magnitude of Non-Consent Biases in Linked Survey and Administrative Data; 2012; Sakshaug, J. W., Kreuter, F.
- Improving RDD Cell Phone Samples. Evaluation of Different Pre-call Validation Methods; 2012; Kunz, T., Fuchs, M.
- Marktforschung mit dem iPad-Panel von Axel Springer Media Impact; 2012
- Effects of Personalized Versus Generic Implementation of an Intra-Organizational Online Survey on Psychological...; 2012; Mueller, K., Straatmann, T., Hattrup, K., Jochum, M.
- Positioning of Clarification Features in Web Surveys: Evidence from Eye Tracking Data; 2012; Kunz, T., Fuchs, M.
- Using Adaptive Questionnaire Design in Open-ended Questions: A Fieldexperimental Study on the Size of...; 2012; Fuchs, M., Emde, M.
- Exploring New Pathways to Survey Recruitment; 2012; Bilgram, V., Stadler, D.Jawecki, G.