Web Survey Bibliography
With the rising popularity and fervor over new technological devices like iPads and smartphones, researchers may ask whether the use of these devices as promised incentives rather than prepaid or promised cash is more effective in boosting the response rates of web-based surveys. In 2009, Dillman, Smyth, and Christian downplayed the use of prize drawing incentives for web-based surveys and instead conclude that, like mail and telephone surveys, the most effective way to increase response rates in web-based surveys is to use postal mail to deliver an invitation and prepaid cash incentive (pgs. 274-275). However, for many public, marketing, and social researchers, the feasibility of this approach is not only cost-prohibitive but naturally goes against the initial purposes of using the internet in the first place—the reduction in time and ease of use. Further, when it comes to the advancement and public use of technological, data from 2009 already feels like it’s a century behind. Thus, the purpose of this paper is to revisit the question of lottery- or prize-based drawings, particularly in light of using new technological devices as incentives; in our case—the iPad2. In spring of 2011, the Office of Assessment and Analysis at Brigham Young University sent out two webbased surveys to gather data on academic and career advisement. Each survey was sent to a random sample of over 7000 students. The initial invitation had no incentive promised. Eleven days later, with only around an 8% response rate, a reminder was sent to the non-respondents including an invitation for them to enter a drawing for an iPad 2 at the end of completing the survey. Within 48 hours the response rate for the academic and career advisement surveys shot up to 35% and 30% respectively. We will present further details surrounding this significant shift.
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Web Survey Bibliography - Costs (461)
- Methodological Considerations of Qualitative Email Interviews; 2013; Nehls, K.
- Compared to a small, supervised lab experiment, a large, unsupervised web-based experiment on a previously...; 2013; Ryan, R. S., Wilde, M., Crist, S.
- Managing mobile research: How it's different and why it matters; 2013; Kachhi-Jiwani, D., Tucker, J., Wilding-Brown, L.
- A standard for test reliability in group research; 2013; Ellis, J. L.
- The General Survey System Initiative at RTI International: An Integrated System for the Collection and...; 2013; Thalji, L., Mitchell, S., Hill, C. A., Suresh, R., Speizer, H., Pratt, D.
- Innovation in Data Collection: the Responsive Design Approach; 2013; Bianchi, A., Biffignandi, S.
- Measurement effects in mixed-mode panel surveys; 2013; Lugtig, P. J.
- The ONS Beyond 2011 Programme & possible implications for social surveys; 2013; Morris, L.
- Issues of Coverage and Sampling in Web Surveys for the General Population: An Overview; 2013; Lynn, P.
- Use of a Social Networking Web Site for Recruiting Canadian Youth for Medical Research; 2013; Chu, J. L., Snider, C. E.
- Measurement invariance and quality of composite scores in a face-to-face and a web survey; 2013; Revilla, M.
- Convenient yet not a convenience sample: Jury pools as experimental subject pools; 2013; Murray, G. R., Rugeley, C. R., Mitchell, D.-G., Mondak, J. J.
- Online Survey Software; 2013; Baker, J. D.
- Incentives for college student participation in web-based substance use surveys; 2013; Patrick, M. E., Singer, E., Boyd, C. J., Cranford, J. A., McCabe, S. E.
- Screenwise panel: Frequently Asked Questions; 2012
- Social media as a data collection tool: the impact of Facebook in behavioural research; 2012; Zoppos, E.
- Social research in online context: methodological reflections on web surveys from a case study; 2012; Pandolfini, V.
- Can Microtargeting Improve Survey Sampling? An Assessment of Accuracy and Bias in Consumer File Marketing...; 2012; Pasek, J.
- Optimizing Response Rates; 2012; Brick, J. M.
- Modes of Data Collection; 2012; Tourangeau, R.
- The re-engineering of the Structural Earnings survey process: Mixed - Mode data collection and new E...; 2012; Cardinaleschi, S., De Santis, S., Rocci, F., Spinelli, V.
- Between demand and reality: Ensuring efficiency and quality in pretesting questionnaires; 2012; Sattelberger, S., Blanke, K.
- Choosing a Data Collection Approach: Mixed Mode Design Experiences in Statistics Finland; 2012; Taskinen, P., Kiianmaa, N.
- An experimental investigation of the effects of noncontingent and contingent incentives in recruiting...; 2012; Lavrakas, P. J., Dennis, J. M., Peugh, J., Shand-Lubbers, J., Lee, E., Peugh, J., Charlebois, O., Murakami...
- The Feasibility of Conducting a Web Survey Using Respondent Driven Sampling among Transgenders in the...; 2012; Kappelhof, J.
- WEBDATANET: web-based data-collection methodological challenges, solutions and implementations. Action...; 2012; de Pedraza, P.
- WebSM Study: Survey software features overview ; 2012; Vehovar, V.; Cehovin, G.; Kavcic, L.; Lenar, J.
- Web Panels; 2012; Bethlehem, J., Biffignandi, S.
- Weighting Adjustment Techniques; 2012; Bethlehem, J., Biffignandi, S.
- Mixed-Mode Surveys; 2012; Bethlehem, J., Biffignandi, S.
- Effects of E-Mailed Versus Mailed Invitations and Incentives on Response Rates, Data Quality, and Costs...; 2012; Dykema, J., Stevenson, J., Klein, L., Kim, Y., Day, B.
- Prenotification, Incentives, and Survey Modality: An Experimental Test of Methods to Increase Survey...; 2012; Tepper, J. R., Jacob, B.
- Costs and Errors in Fixed and Mobile Phone Surveys; 2012; Vehovar, V., Slavec, A., Berzelak, N.
- Paper-and-Pencil versus Web Administration of a Student Satisfaction Survey; 2012; Bowen, C.-C.
- An Initial Look at Non-Response and Attrition in Understanding Society; 2012; Lynn, P., Burton, J., Kaminska, O., Knies, G., Nandi, A.
- Evidence on the Comparison of Telephone and Internet Surveys for Respondent Recruitment.; 2012; Potoglou, D., Kanaroglou, P. S., Robinson, N.
- Comparison of response rates and cost-effectiveness for a community-based survey: postal, internet and...; 2012; Sinclair, M., O'Toole, J., Malawaraarachchi, M., Leder, K.
- Online Questionnaire Data Analysis System (OQDAS); 2012; Ali, A. Q.
- Solving the Mode Mystery The Cost, Coverage and Quality Tradeoffs of Picking (and Mixing) Online and...; 2012; Cape, P. J., Phillips, K.
- Modular Survey Design for Mobile Devices; 2012; Johnson, A., Kelly, F.
- Improving RDD Cell Phone Samples. Evaluation of Different Pre-call Validation Methods; 2012; Kunz, T., Fuchs, M.
- Influencing Mode Choice in a Mixed Mode Survey; 2012; Mooney, G., Lan, F., Lin, X., Hurwitz, A.
- Best Approaches to Mode Order and Non-response Prompting in a Multi-Mode Survey; 2012; Newsome, J., Levin, K., Schafer, B., Vigil, M., Liu, W.
- Better (Quality), Faster, Cheaper? Completing Web Surveys on Cell-Enabled iPads; 2012; Driscoll, H., Dayton, J. J., Pels, R.
- The Challenge of Going National: An Experimental Evaluation of the Effects of Local vs. Distant Survey...; 2012; Edwards, M. L., Dillman, D. A.
- What are the Odds? Lotteries versus Cash Incentives. Response Rates, Cost and Data Quality for a Web...; 2012; Stevenson, J., Dykema, J., Klein, L., Cyffka, K., Goldrick-Rab, S.
- Data Quality from Low Cost Data Collection Methodologies; 2012; Traugott, M. W.
- Using the iPad2 as a Prize-based Incentive to Boost Response Rates; 2012; McClendon, R., Jenson, E., Olsen, D.
- What Would You Do? Conducting Web-Based Factorial Vignette Surveys; 2012; Aviram, H.
- The “MediaLiveTracker” – A New Online-Tool for Real-Time-Response-Measurement; 2012; Kercher, J., Bachl, M., Voegele, C., Vohle, F.
