Web Survey Bibliography
Declining landline telephone subscription rates alongside with increasing mobile-only rates require survey researchers to explore alternative means of telephone survey data collection. In several European countries like Finland, Sweden or the Czech Republic mobile phone penetration rates have exceeded 90 percent. Thus, it seems promising to develop mobile phone survey methods. To learn more about changes in telecommunicational behaviour and equipment it is necessary to follow mobile phone owners over an extended period of time using panel survey methods. Panel surveys are prone to panel attrition. Consequently the long term perspective and data quality on mobile phone owners throughout the panel are threatened due to reduced sample sizes and due to potential panel attrition biases. In mobile phone panels reasons for panel attrition can be found in (1) mobile phone numbers turning ineligible during the panel, (2) non-contact with eligible panel numbers and (3) panel members refusing to cooperate in further panel waves. Taken together, these three potential sources of panel attrition amount to about
20 percent wave-to-wave attrition. Consequently the development of reliable methods that counteract refusals and non-contacts in mobile phone panel studies is required.
In this paper we will present results from two experiments addressing panel attrition in the Experimental Mobile Phone Panel conducted in Germany (n=1,700) since 2009. In a randomized between-subjects design a subgroup of respondents to wave 5 of the panel was offered a 5 Euro pre-paid incentive. Attrition rates and potential biases due to panel attrition were compared to the respective values of a control group without incentive. Also, refusals and noncontacts in wave 5 were invited by text message to a short mobile Web survey application where they were supposed to report on a few key variables from the wave 5 questionnaire. The effect of this mode switch was evaluated in terms of the willingness of respondents to participate in the mobile Web survey and also in terms of the quality of their responses.
Conference Homepage (abstract)
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.