Web Survey Bibliography
On-line data are relatively cheap, fast and easy to collect internationally, and are thus comparable across countries. Data comparability is crucial for social and behavioural scientists in the current context of globalization and economic interdependence. Despite its advantages and popularity, web-based data collection research faces important methodological challenges that must be addressed to provide web-based data collection with the scientific validity that traditional research methods already enjoy.
Webdatanet network was established in 2011 in order to fulfil that goal by constituting a multidisciplinary network of web-based data collection experts - (web) survey methodologists, psychologists, sociologists, linguists, economists, Internet scientists, media researchers and public opinion researchers - to accumulate and synthesize knowledge of methodological problems and their potential solutions. At present, the network is composed by around 150 researchers from more than 30 countries from the European Union and abroad.
Since its inception, the Action has organized 6 biannual meetings, 4 independent workshops, 1 Training School and 17 scientific missions. As a result of the networking process, 26 Task Forces and Small Groups have been established within the 3 Working Groups: WG1 Quality issues of web surveys; WG2 Innovations in web-based data collection; WG3 Guidelines, codes, standards, implementation and dissemination. A new general concept, Webdatametrics, has emerged from the existing variety of disciplines related to web data collection methods and analyses. By putting this knowledge together, Webdatametricians aim at generating new knowledge to take advantage of ICT to collect data for scientific purposes.
Other achievements of the Action refer to the establishment of interactions with official bodies (i.e. World Bank, ILO), statistical offices (i.e. ESSnet project) or private sector companies (i.e. Google, TNS, eNET). Additionally, a Master programme in Webdatametrics will be introduced in 2014 as a response to the current educational demand for the formation of future experts in web-based data collection. Webdatanet has also fostered the collaboration between the four main probability-based panels of Europe (the Dutch LISS panel, the French ELIPPS panel, the German GIP and the new GESIS panel) and the National Centre for Research Methods of the UK (GenPopWeb).
GOR Homepage (abstract) / (presentation)
Web survey bibliography - General Online Research Conference (GOR) 2014 (29)
- Using Paradata to Predict and to Correct for Panel Attrition in a Web-based Panel Survey; 2014; Rossmann, J., Gummer, T.
- Targeting the bias – the impact of mass media attention on sample composition and representativeness...; 2014; Steinmetz, S., Oez, F., Tijdens, K. G.
- Offline Households in the German Internet Panel; 2014; Bossert, D., Holthausen, A., Krieger, U.
- Which fieldwork method for what target group? How to improve response rate and data quality; 2014; Wulfert, T., Woppmann, A.
- Exploring selection biases for developing countries - is the web a promising tool for data collection...; 2014; Tijdens, K. G., Steinmetz, S.
- Evaluating mixed-mode redesign strategies against benchmark surveys: the case of the Crime Victimization...; 2014; Klausch, L. T., Hox, J., Schouten, B.
- The quality of ego-centered social network data in web surveys: experiments with a visual elicitation...; 2014; Marcin, B., Matzat, U., Snijders, C.
- Switching the polarity of answer options within the questionnaire and using various numbering schemes...; 2014; Struminskaya, B., Schaurer, I., Bosnjak, M.
- Measuring the very long, fuzzy tail in the occupational distribution in web-surveys; 2014; Tijdens, K. G.
- Social Media and Surveys: Collaboration, Not Competition; 2014; Couper, M. P.
- Improving cheater detection in web-based randomized response using client-side paradata; 2014; Dombrowski, K., Becker, C.
- Interest Bias – An Extreme Form of Self-Selection?; 2014; Cape, P. J., Reichert, K.
- Online Qualitative Research – Personality Matters ; 2014; Tress, F., Doessel, C.
- Increasing data quality in online surveys 4.1; 2014; Hoeckel, H.
- Moving answers with the GyroScale: Using the mobile device’s gyroscope for market research purposes...; 2014; Luetters, H., Kraus, M., Westphal, D.
- Online Surveys as a Management Tool for Monitoring Multicultual Virtual Team Processes; 2014; Scovotti, C.
- How much is shorter CAWI questionnaire VS CATI questionnaire?; 2014; Bartoli, B.
- WEBDATANET: A Network on Web-based Data Collection, Methodological Challenges, Solutions, and Implementation...; 2014; Tijdens, K. G., Steinmetz, S., de Pedraza, P., Serrano, F.
- The Use of Paradata to Predict Future Cooperation in a Panel Study; 2014; Funke, F., Goeritz, A.
- Incentives on demand in a probability-based online panel: redemption and the choice between pay-out...; 2014; Schaurer, I., Struminskaya, B., Kaczmirek, L.
- The Effect of De-Contextualisation - A Comparison of Response Behaviour in Self-Administered Surveys; 2014; Wetzelhuetter, D.
- Responsive designed web surveys; 2014; Dreyer, M., Reich, M., Schwarzkopf, K.
- Extra incentives for extra efforts – impact of incentives for burdensome tasks within an incentivized...; 2014; Schreier, J. H., Biethahn, N., Drewes, F.
- Students First Choice – the influence of mobile mode on results; 2014; Maxl, E.
- Device Effects: How different screen sizes affect answer quality in online questionnaires; 2014; Fischer, B., Bernet, F.
- Moving towards mobile ready web panels; 2014; Wijnant, A., de Bruijne, M.
- Innovation for television research - online surveys via HbbTV. A new technology with fantastic opportunities...; 2014; Herche, J., Adler, M.
- Mixed-devices in a probability based panel survey. Effects on survey measurement error; 2014; Toepoel, V., Lugtig, P. J.
- Online mobile surveys in Italy: coverage and other methodological challenges; 2014; Poggio, T.