Web Survey Bibliography
Online panels are increasingly taking the leading role for online surveys. Fast data access and low costs of research implementation motivates research agencies and marketing companies to use it. In addition, more and more online panels are spreading to the regional and global level, which is one more reason to choose this kind of a tool for data acquisition. A particular advantage is that companies can compare their results with those countries that are strategically more important to them.
So, what exactly are online panels? Online panels are groups of individuals who wish to participate in online surveys, and are then selected by research agencies which invite them via an electronic invitation. To maximize the response rate in online panels, research agencies use different approaches promising a reward in the electronic invitation. This contribution tries to answer the question of how different type of incentives and special emphasis in the invitation without remuneration affects the data quality in the online panels. Data quality is examined with two indicators: the response rate and quality of individual’s responses. As many authors discussed that monetary incentives increase response rate in online surveys, we verify if this hypotheses is also true in the case where incentives are promised with the lottery method. On the other hand, monetary incentives with lottery method can cause lower quality of individual responses.
Workshop Homepage (abstract)
Web survey bibliography - 2012 (371)
- “I think I know what you did last summer” Improving data quality in panel surveys; 2012; Lugtig, P. J.
- An Initial Look at Non-Response and Attrition in Understanding Society; 2012; Lynn, P., Burton, J., Kaminska, O., Knies, G., Nandi, A.
- Understanding Society Innovation Panel Wave 4: Results from Methodological Experiments; 2012; Burton, J., Budd, S., Kaminska, O., Uhrig, S. C. N., Brown, M., Calderwood, L.
- The Propensity of Older Respondents to Participate in a General Purpose Survey; 2012; Lynn, P.
- Mode-Switch Protocols: How a Seemingly Small Design Difference can affect Attrition Rates and Attrition...; 2012; Lynn, P.
- Does Giving People Their Preferred Survey Mode Actually Increase Survey Participation Rates?; 2012; Olson, K., Smyth, J. D., Wood, H.
- Adaptive web sampling in ecology; 2012; Thompson, S. K.
- Deep Data: Qualitative Approaches to E-Research in the Digital Age; 2012; Salmons, J.
- Going online with a face-to-face household panel: Initial results from an experiment on the UK Household...; 2012; Jaeckle, A., Lynn, P., Burton, J.
- Opportunities and Challenges for the Digital Researcher; 2012; Blank, G., Morey, Y.
- Measures of Data Quality Across the RDD Frames; 2012; Lavrakas, P. J.
- Reliable Online Social Network Data Collection; 2012; Abdesslem, F. B., Parris, I., Henderson, T.
- Statisticians don’t like non-probability; 2012; Murphy, J.
- Diasporas on the web: new networks, new methodologies; 2012; Crush, J., Eberhardt, C., Caesar, M., Chikanda, A., Pendleton, W., Hill, A.
- Not by the Book: Facebook as a Sampling Frame; 2012; Brickman Bhutta, C.
- Survey Quality Evaluation for Business Surveys; 2012; Biemer, P. P.
- Respondent-driven sampling; 2012; Schonlau, M., Liebau, E.
- Online Data Collection in the Agro-Food Sector; 2012; Biffignandi, S., Artaz, R.
- Collecting data electronically from enterprises – searching for the right approach; 2012; Keating, J., Portillo, S.
- Tailoring the design of e-questionnaires to the response process: About audit trails and other methods...; 2012; Morren, M., Snijkers, G.
- Predicting potential respondents' decision to participate in web surveys; 2012; Fang, J., Wen, C.
- Comparing Ranking Techniques in Web Surveys; 2012; Blasius, J.
- Design of CAWI Instruments for Social Surveys ; 2012; Blanke, K.
- Web Survey Software; 2012; Berzelak, N., Vehovar, V., Slavec, A.
- Surveying general population: What types of experiments are further needed?; 2012; Vehovar, V., Berzelak, N.
- Psychometric properties of an internet administered version of the Marlowe-Crowne Social Desirability...; 2012; Vesteinsdottir, V., Reips, U.-D., Joinson, A. N., Porsdottir, F.
- Enhancing Web Surveys With New HTML5 Input Types; 2012; Funke, F.
- Mobile Survey Participation Rates in Commercial Market Research: A Meta-Analysis; 2012; Bosnjak, M., Poggio, T., Becker, K. R., Funke, F., Wachenfeld, A., Fischer, B.
- Research design for studying online communities with web surveys; 2012; Petrovcic, A., Petric, G., Lozar Manfreda, K.
- “What a waste of time!” vs “Why not participate?” On sentiments by business...; 2012; Torres van Grinsven, V., Snijkers, G., Daas, P.
- Case study: Respondent perspective on survey response; 2012; Jarrett, C.
- Effect of different stimulus on data quality in online panels; 2012; Zagar, S., Lozar Manfreda, K.
- The German Internet Panel: First Results from the Recruitment Phases; 2012; Blom, A. G.
- Panel retention rate and data quality: experimental results drawing on Reciprocity design; 2012; Biffignandi, S., Artaz, R.
- Analysis of coverage bias for the implementation of web surveys in Spain; 2012; de Pedraza, P., Serrano, F.
- Web panels in Slovenia; 2012; Lenar, J., Vehovar, V.
- Presidential Elections in Iceland 2012 – Did online panel surveys give false hope to new candidates...; 2012; Jonsdottir, G. A., Dofradottir, A. G., Bjornsdottir, A. E.
- Website exit surveys. What can we measure with them?; 2012; Andreadis, I.
- Challenges and pitfalls of measuring wages via web surveys - some explorations; 2012; Steinmetz, S., Bianchi, A., Tijdens, K., Biffignandi, S.
- Adaptation of Cognitive Interviews for Web; 2012; Mohorko, A., Hlebec, V.
- The Usage of a Cloud Service as an Effective Way of Sharing Cognitive and Usability Test Information; 2012; Rouhunkoski, J., Godenhjelm, P.
- Database Lookup in Web Surveys; 2012; Couper, M. P., Zhang, C., Conrad, F. G., Tourangeau, R.
- Firefly Online Surveys: A fully featured tool for Web surveys and forums; 2012; Deal, K.
- Analyzing Functionalities for Online Questionnaire System (OQS); 2012; Atown, H. Y.
- Internet Mobility Survey Sampling Biases in Measuring Frequency of Use of Transport Modes ; 2012; Diana, M.
- Why one should incorporate the design weights when adjusting for unit nonresponse using response homogeneity...; 2012; Kott, P. S.
- A beginner's guide to DIY research ; 2012; Cates, T.
- Qualitatively Speaking: Mobile qualitative finally hits its stride; 2012; Bryson, J.
- Comfortable in the new medium: How online qual can benefit from our share-happy culture ; 2012; Rubenstein, P.
- A Smarter Way to Select Respondents for Surveys; 2012; Terhanian, G., Bremer, J.