Web Survey Bibliography
The LISS panel (Longitudinal Internet Studies for the Social sciences) is an online panel which is based on a true probability sample of households. Households that cannot otherwise participate are provided with a computer and Internet connection.
In the LISS panel we call respondents “sleepers” when they are still registered as panel members but have not completed any questionnaires for three consecutive months or longer. In a telephone sleeper study, we tried to find out how the sleeping panel members could be re-activated. Sleepers indicated that their main motivation to become a panel member was personal interest/curiosity, followed by the financial compensation and contribution to science. The majority gave a personal reason for not completing any questionnaires anymore. Less than 10% indicated that they would prefer mail or telephone interviews instead of online questionnaires.
The study included an experiment in which various additional compensations were offered, in combination with arguments that emphasized how important it is that all panel members participate. On average 41% of the interviewed sleepers restarted their participation for at least one month. The percentage varied between 28% and 50% in the different experimental conditions. With regard to long-term participation, 25% of the interviewed sleepers continued to participate for three months or longer after the interview. This percentage also varied across the conditions, from 19% to 31%. The experiment showed that the most efficient method to reactivate sleepers is to promise them 10 euro conditional on renewed participation.
Conference HOmepage (abstract)
Web Survey Bibliography - Solicitations & incentives (639)
- Experiments in Obtaining Data Linkage Consent in Web Surveys ; 2013; Sakshaug, J. W., Kreuter, F.
- Should the third reminder be sent? The role of survey response timing on web survey results; 2013; Rao, K., Pennington, J.
- How incentives affect web-based survey response rates of athletic program donors; 2013; Alvarado, G., Callison, C.
- Investigating the Relationship among Prepaid Token Incentives, Response Rates, and Nonresponse Bias...; 2013; Parsons, N. L., Manierre, M. J.
- Web-Based Versus Traditional Paper Questionnaires: A Mixed-Mode Survey With a Nordic Perspective; 2013; Hohwue, L., Lyshol, H., Gissler, M., Hrafn Jonsson, S., Petzold, M., Obel, C.
- Adjusting for bias in a mixed-mode CAWI survey on University students ; 2013; Clerici, R., Giraldo, A.
- The 2012 Confirmit Annual Market Research Software Survey; 2013; Macer, T., Wilson, S.
- Using Mixed-Mode Contacts in Client Surveys: Getting More Bang for Your Buck; 2013; Israel, G. D.
- Feasibility of Using Web to Survey at a Sample of Addresses: a UK ESS experiment; 2013; Villar, A.
- The Effect of Differential Mailing Methodologies on Response Rates: Testing Advanced Notices, Pre-Recorded...; 2013; Pens, Y., Cantave, M. A., Gentry, R. J.
- The Influence of Respondent Incentives on Item Nonresponse and Measurement Error in a Web Survey; 2013; Felderer, B., Kreuter, F., Winter, J.
- Using Motivating Prompts to Increase Responses to Open-ended Questions in Mixed-mode Surveys: Where...; 2013; Israel, G. D.
- Differential Incentives in a Dual Mode Survey of Health Care Providers; 2013; Roff, B., Barrett, K.
- The Effect of Attempting to Recruit Respondents to a Web-Based Diary on Overall Response Rate; 2013; Cantave, M. A. Gentry, R. J.
- Comparisons of Online Recruitment Strategies: Craigslist, Facebook, Google Ads and Amazon’s Mechanical...; 2013; Antoun, C., Zhang, C., Conrad, F. G., Schober, M. F.
- Effects of Survey Sponsorship on Internet and Mail Response: Using Address- Based Sampling; 2013; Edwards, M. L.
- Using the iPad as a Prize-Based Incentive to Boost Response Rates: A Case Study at Brigham Young University...; 2013; McClendon, R., Olsen, D.
- Online Panels: Recruitment Based on “Hot Topics” – What are the Consequences?; 2013; Andreasson, M., Martinsson, J.
- Social Network Analysis and Survey Response: How Facebook Data Can Supplement Survey Data; 2013; Sage, A.
- Surveywalls: A Breakthrough for Survey Customers or DIY Run Amok?; 2013; Wells, T., Dean, E., Rao, K., Murphy, J., Roe, D. J.
- Evaluating the Effect of a Non-Monetary Incentive in a Nationally Representative Mixed-Mode Establishment...; 2013; Sengupta, M., Harris-Kojetin, L., Hobbs, M., Greene, A.
- Effective e-incentive for Online Study: Comparing Branded e-Gift Card and Virtual Cash Card; 2013; Jin, T., Duan, S., Lai, J. W., Link, M. W.
- First Contact Strategies for Web Surveys: Is a Phone Call or a Letter the More Effective Introduction...; 2013; Connelly, J., Sjoblom, M., Datta, R., Scholfield Hepburn, P.
- How Do Different Sampling Techniques Perform in a Web-Only Survey? Results From a Comparison of a Random...; 2013; Bilgen, I., Stern, M. J., Wolter, K.
- The Effectiveness of Mailed Invitations for Web Surveys; 2013; Bandilla, W., Couper, M. P., Kaczmirek, L.
- Examining the Feasibility of SMS as a Contact Mode for a College Student Survey; 2013; Crawford, S. D., McClain, C., O'Brien, S., Nelson, T. F.
- Survey Reminder Method Experiment: An Examination of Cost Efficiency and Reminder Mode Salience in the...; 2013; Anderson, M., Rogers, B., CyBulski, K., Hall, J. W., Alderks, C. E., Milazzo-Sayre, L.
- Using Qualitative and Quantitative Testing to Improve Hispanic Response Rates for Online Surveys; 2013; Pens, Y., Gentry, R. J.
- The Use of Email, Text Messages, and Facebook to Increase Response Rates Among Adolescents in a Longitudinal...; 2013; Fleeman, A., Francis, K., Henderson, T., Woodford, M., Jani, M.
- Use of Smart Phones/Text Messaging to Increase Response Rates; 2013; DuBray, P.
- Using Multiple Modes in Follow-Up Contacts in Random-Digit Dialing Surveys; 2013; Chowdhury, P. P.
- Impacts of Unit Nonresponse in a Recontact Study of Youth; 2013; Mendelson, J., Viera Jr., L.
- Utilizing the Web in a Multi-Mode Survey; 2013; Venkataraman, L.
- Internet Response for the Decennial Census – 2012 National Census Test; 2013; Reiser, C.
- Effects of Lotteries on Response Behavior in Online Panels; 2013; Goeritz, A., Luthe, S. C.
- Lotteries and study results in market research online panels; 2013; Goeritz, A., Luthe, S. C.
- Using Web Surveys for Psychology Experiments: A Case Study in New Media Technology for Research; 2013; Peden, B. F., Tiry , A. M.
- Sampling, Channels, and Contact Strategies in Internet Survey; 2013; Macrì, E., Tessitore, C.
- Advancing Research Methods with New Technologies; 2013; Sappleton, N.
- Using mobile devices to access the realities of youth: How identification with society influences political...; 2013; Smith, M.
- Do I Have Your Full Attention?; 2013; Cape, P. J.
- Internet-Based Recruitment to a Depression Prevention Intervention: Lessons From the Mood Memos Study...; 2013; Morgan, A. J., Jorm, A. F., Mackinnon, A. J.
- Challenges for Researchers Investigating Contraceptive Use and Pregnancy Intentions of Young Women Living...; 2013; Herbert, D. L., Loxton, D., Bateson, D., Weisberg, E., Lucke, J. C.
- Pros and cons of virtual interviewers – vote in the discussion about surveytainment; 2013; Póltorak, M., Kowalski, J.
- An Assessment of Incentive Versus Survey Length Trade-offs in a Web Survey of Radiologists; 2013; Ziegenfuss, J. Y., Niederhauser, B. D., Kallmes, D., Beebe, T. J.
- The fish model: What factors affect participants while filling in an online questionnaire?; 2013; Mohamed, B., Lorenz, A., Pscheida, D.
- The monetary value of good questionnaire design; 2013; Tress, F.
- Why are you leaving me?? - Personality predictors of answering drop out in an online-study; 2013; Thielsch, M., Nestler, S., Back, M.
- Seducing the respondent – how to optimise invitations in on-site online research?; 2013; Póltorak, M., Kowalski, J.
- E-questionnaire in cross-sectional household surveys; 2013; Karaganis, M.