Web Survey Bibliography
Relevance & Research Question:
Online Surveys has been playing increasingly an important role in the academic research. The Institute of Social and Economic Research (WSI) has been conducting a continuous web survey on pay and working conditions since 2004. Data is collected via an online questionnaire, accessible at www.lohnspiegel.de, which any interested visitor can complete. Lohnspiegel is a German part of the WageIndicator survey network, which organises web-surveys with a similar structure and content in 50 countries. The topics relate to wages and working conditions. The target population is the labour force, including employees, self-employed, informal workers, job seekers and the unemployed. Volunteer web-surveys are primarily held in marketing and in voting research. Except for the WageIndicator they are hardly used in the ﬁeld of work and employment. The presentation concentrates on the experiences of the Lohnspiegel and WageIndicator as a continuous web survey and on the recommendations for other academic researchers.
Methods & Data:
The respondents of the web-survey are volunteers. A continuous survey challenges the traditional perception of web-surveys. The survey have several advantages: the potential to generate large sample sizes, the possibility of exploring rare groups or small-scale units, the inclusion of follow-up questions, Additionally, such web surveys offer multiple client-side feedback systems.
Since 2004 over 200.000 participants have completed the online questionary in Germany, with an average of ca. 25.000 per year. The Lohnspiegel is a non-probability survey and the data therefore biased and not representative to a certain extent. Several adjustment procedures to solve this problem have been applied. The results show that application of different weights produces rather diverse results, and that there is no certainty as to whether the representativeness of such web-surveys can be improved.
The experience of a continuous large-scale web-surveys “Lohnspiegel” and “WageIndicator” in general, would give new insights for further academic research and methodology development. The surveys generate longitudinal, multi-country data on wages, which might develop into a worldwide database on wages, beneﬁts, working hours, working conditions, and industrial relations and, hence, contribute to a better understanding of the labour market worldwide.
GOR Homepage (abstract) / (full text)
Web Survey Bibliography - Noncoverage & sampling (1365)
- Beauty is more than screen deep: Improving the web survey respondent experience through socially-present...; 2014; Casey, T. W., Poropat, A.
- Optimal Resource Allocation in Adaptive Survey Designs; 2013; Calinescu, M.
- Foreign workers in Saudi Arabia: a field study of role ambiguity, identification, information-seeking...; 2013; Showail, S. J., McLean Parks, J., Smith, F. L.
- Reaching and Hearing the Invisible: Organizational Research on Invisible Stigmatized Groups via Web...; 2013; Trau, R. N. C. et al.
- A web based management system for addressing census complexity: the Italian experience; 2013; Bruno, M., Giacummo, M., Silipo, M., Vaste, G.
- Internet as a new source of information for the production of official statistics. Experiences of Statistics...; 2013; Heerschap, N.
- Web panel surveys – can they be designed and used in a scientifically sound way?; 2013; Svensson , J.
- A standard with quality indicators for web panel surveys: a Swedish example; 2013; Nyfjaell, M.
- Web Panels for Official Statistics? ; 2013; Bethlehem, J., Cobben, F.
- The Role of Mode Preference Questions in Predicting Mode-Specific Response Propensities; 2013; Lynn, P., Kaminska, O.
- Using Internet Panel Surveys for Behavioral Health Surveillance; 2013; Gotway Crawford, C., Okoro, C. A., Dhingra, S., Akcin, H., Zhao, G., Ford, D., Pierannunzi, C.
- Estimating Mode Effects Without Bias: A Randomized Experiment to Compare Mode Effects Between Face-to...; 2013; Rivers, D., Vavreck, L.
- Proceedings of The 3rd International Conference: Quantitative And Qualitative Methodologies In The Economic...; 2013; Frangos, C. (ed.)
- How Mobile Stacks Up to Traditional Online: A Comparison of Studies; 2013; Knowles, R.
- Development of a Questionnaire and Cross-Sectional Survey of Patient eHealth Readiness and eHealth Inequalities...; 2013; Jones, R.
- Web Coverage in the UK and its Potential Impact on General Population Web Surveys; 2013; Callegaro, M.
- Issues of Coverage and Sampling in Web Surveys for the General Population; 2013; Lynn, P.
- Optimizing quality of response through adaptive survey designs; 2013; Schouten, B., Calinescu, M., Luiten, A.
- Attitudes of Nebraska Residents on Nebraska Water Management; 2013; Dillman, D. A., Edwards, M. L.
- Attitudes of Washington Residents on Washington Water Management; 2013; Dillman, D. A., Edwards, M. L.
- On the Impact of Response Patterns on Survey Estimates from Access Panels; 2013; Enderle, T., Muennich, R., Bruch, C.
- Reconceptualizing Survey Representativeness for Evaluating and Using Nonprobability Samples; 2013; Fan, D. P.
- Experiments with methods to reduce attrition in longitudinal surveys; 2013; Fumagalli, L., Laurie, H., Lynn, P.
- Targeted response inducement strategies on longitudinal surveys; 2013; Lynn, P.
- Measuring Up: Impact of mobile and segmentation on respondent behaviour; 2013; Luck, K.
- Best of Both Worlds? Can we make convenience samples representative?; 2013; Doe, P.
- Developing a New Mixed-Mode Methodology For a Provincial Park Camper Survey in British Columbia; 2013; Dyck, B. W.
- Mode effect analysis and adjustment in a split-sample mixed-mode Web/CATI survey; 2013; Kolenikov, S., Kennedy, C.
- Adjusting for bias in a mixed-mode CAWI survey on University students ; 2013; Clerici, R., Giraldo, A.
- The Technology Behind Mobile Research: Browsers vs. Apps ; 2013; Macer, T.
- The Attention Span of a Goldfish: Impacts of Survey Mobilization on Respondents ; 2013; Luck, K.
- Adding Observation to Copy Testing with Kids; 2013; Hurley, B., Salo, M.
- The State of Technology in Market Research; 2013; Macer, T.
- Effects of Sponsorship on Response: Mixed-Mode Web and Mail Surveying ; 2013; Edwards, M. L., Dillman, D. A., Smyth, J.
- Does left still feel right? The optimal position of answer boxes in Web surveys - revisited; 2013; Lenzner, T., Kaczmirek, L.,Galesic, M.
- A walking exercise on a tightrope: trying to balance coverage, probabilistic sampling and the costs...; 2013; Poggio, T.
- Comparability of substantive results between modes and incentive conditions in a probability-based telephone...; 2013; Pekari, N.
- Designing a Pilot to Introduce Web Collection in the UK Labour Force Survey; 2013; Merad, S.
- Data Collection Method Comparisons for the 2011 Fishing, Hunting, and Wildlife-Associated Recreation...; 2013; Herbstritt, M., Hornick, D.
- The comparability of Don't Know answers between CATI and CAWI modes; 2013; Pohjanpaa, K., Jarvensivu, M.
- Leveraging Auxiliary Data, Differential Incentives, and Survey Mode to Target Hard-to-Reach Groups in...; 2013; Link, M. W., Thu Burks, A.
- Does It Pay Off to Include Non-Internet Households in an Internet Panel? ; 2013; Leenheer, J., Scherpenzeel, A.
- Old versus New: The Comparative Efficiency of Mail and Internet Surveys of State Legislators.; 2013; Fisher, S. H., Herrick, R.
- Using Mixed-Mode Contacts in Client Surveys: Getting More Bang for Your Buck; 2013; Israel, G. D.
- The Online Statistical Survey As An Alternative To Traditional Methods; 2013; Dinu, S., Nitoiu, M., Pomazan, C.
- A probability-based web panel for UK policy research: some initial thoughts from a Government survey...; 2013; Littlechild, J.
- A probability-based web panel for the UK: What could it look like?; 2013; Nicolaas, G.
- Current UK provision of web panaels and Omnibus; 2013; Lagorio, C.
- What works? Getting the General Population To Go Online in a Mixed Mode Local Health Survey; 2013; Frigault, L.-R., Azzou, S. A. K., Molloy, E. J. K., Ammarguellat, F., Couture, M., Gratton, J.
- ONS Plans for Web Data Collection in LFS; 2013; Lound, C.