Web Survey Bibliography
Background: Recruitment of young people for health research by traditional methods has become more expensive and challenging over recent decades. The Internet presents an opportunity for innovative recruitment modalities.
Objective: To assess the feasibility of recruiting young females using targeted advertising on the social networking site Facebook.
Methods: We placed an advertisement on Facebook from May to September 2010, inviting 16- to 25-year-old females from Victoria, Australia, to participate in a health study. Those who clicked on the advertisement were redirected to the study website and were able to express interest by submitting their contact details online. They were contacted by a researcher who assessed eligibility and invited them to complete a health-related survey, which they could do confidentially and securely either at the study site or remotely online.
Results: A total of 551 females responded to the advertisement, of whom 426 agreed to participate, with 278 completing the survey (139 at the study site and 139 remotely). Respondents’ age distribution was representative of the target population, while 18- to 25-year-olds were more likely to be enrolled in the study and complete the survey than 16- to 17-year-olds (prevalence ratio = 1.37, 95% confidence interval 1.05–1.78, P = .02). The broad geographic distribution (major city, inner regional, and outer regional/remote) and socioeconomic profile of participants matched the target population. Predictors of participation were older age, higher education level, and higher body mass index. Average cost in advertising fees per compliant participant was US $20, making this highly cost effective.
Conclusions: Results demonstrate the potential of using modern information and communication technologies to engage young women in health research and penetrate into nonurban communities. The success of this method has implications for future medical and population research in this and other demographics.
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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.