Web Survey Bibliography
Collecting data on wages is central for socio-economic research. However, besides high rates of people who do not answer wage-related questions, measurement issues are also relevant. Most data from official statistics are too aggregated to allow for detailed individual level analyses which are crucial for supporting manager decisions and encouraging innovative political-economic ideas in the long run. In this context, web surveys seem to offer a lot of advantages, such as worldwide coverage, cost benefits and a fast data collection process. For sensitive questions, like income, they can provide more reliable results as the often observed social desirability effects can be eliminated. Their drawback is that they comprise many methodological challenges. A core problem, in particular for volunteer web surveys, is related to the representativeness of the data as the sub-population with Internet access might be quite specific. Against this background, the driving research question is whether wage-related (volunteer) web surveys are representative, and if not how representativeness can be achieved. For that purpose, WageIndicator data (a continuous volunteer web survey running now in 70 countries which started 2001 in the Netherlands) is compared to the LISS panel (a representative Dutch web panel) and official statistics population data. Selected core variables common to the considered surveys are used and more advanced adjustment techniques, such as simple weighting, propensity score adjustment and the Maxent approach are applied. Properties and theoretical advantages of the methods are compared and discussed. The advantage of the applied analyses is that the results show whether and how the representativeness of a volunteer web surveys can be improved with a-posteriori techniques. Moreover, by comparing probability and non-probability based web surveys with population values insights are offered whether probability-based web surveys really surpass the disadvantages of non-probability based web surveys.
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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.