Web Survey Bibliography
a. Relevance & Research Question:
Due to the dropping penetration rate of landline telephones and a general decline in the willingness to participate in telephone surveys, data collection using online methods – especially online access panels – are becoming more popular all over Europe. Under these circumstances it is important to look at the different ways people can be recruited into online access panels as well as the costs and effectiveness of recruiting methods in terms of survey completion rates, short- and long-term panelist behavior, and the possibility to recharge target groups. What are the most effective ways of recruiting new panel members?
b. Methods & Data:
This study takes a detailed look at 137 web survey projects conducted during the course of 13 months in the Austrian Opinions Online Panel to gain insight into who the people are that participate in online access panels and how to recruit new members in an effective, fast and widespread way. A total of 7.607 panel members were analyzed. We looked at the way they entered the panel (direct mailing, opt-in e-mail lists, Google Ads, Second Life etc.), their behavior in the online panel(membership duration, completion rate etc.) and whether there are any differences in the characteristics of people recruited with different methods.
It is shown that the costs of a new panel member and his/her behavior in the panel depends on the entry way.The percentage of surveys started and of the questionnaires terminated before finish was influenced by the way of entering the online access panel, gender, age, number of invitations received and length of membership.
d. Added Value:
This study shows that with different ways of recruitment for online panels different groups of new panelists in terms of demographics and participation behavior can be gained at varying costs. We show what the most efficient ways to recruit new panel members are.
Conference Homepage (abstract)
Web Survey Bibliography - Costs (497)
- Adaptive survey designs to minimize survey mode effects. A case study on the Dutch Labour Force Survey...; 2013; Calinescu, M., Schouten, B.
- MOTUS: Modular online Time-Use Survey; 2013; Joeri, M., Ignace, G., van Tienoven, T. P., Djiwo, W.
- 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.
- Model-Based Mode of Data Collection Switching from Internet to Mail in the American Community Survey; 2013; Chesnut, J.
- How incentives affect web-based survey response rates of athletic program donors; 2013; Alvarado, G., Callison, C.
- Investigating the Bias of Alternative Statistical Inference Methods in Sequential Mixed-Mode Surveys; 2013; Suzer-Gurtekin, Z., Heeringa, S. G., Valliant, R. L.
- Random versus Systematic Error in a Mixed Mode Online-Telephone Survey; 2013; Hox, J., Scherpenzeel, A., Boeve, A., Boeve, A., de Leeuw, E. D.
- Web questionnaires in official population surveys: Do's and don'ts First experiments and impacts...; 2013; Blanke, K.
- A walking exercise on a tightrope: trying to balance coverage, probabilistic sampling and the costs...; 2013; Poggio, T.
- Leveraging Auxiliary Data, Differential Incentives, and Survey Mode to Target Hard-to-Reach Groups in...; 2013; Link, M. W., Thu Burks, A.
- Mail and Web-Based Survey Administration: A Case Study With Recreational Users of Virginia's Wildlife...; 2013; Carrozzino-Lyon, A. L., McMullin, S. L., Parkhurst, J. A.
- Using Mixed-Mode Contacts in Client Surveys: Getting More Bang for Your Buck; 2013; Israel, G. D.
- Mode Effects in Mixed-Mode Surveys: Prevention, Diagnostics, and Adjustment 1; 2013; de Leeuw, E. D., Dillman, D. A., Schouten, B.
- Scientific impact of the MESS Project: A brief overview; 2013; Das, M.
- 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.
- Using Technology to Conduct Questionnaire Evaluations with Hard to Reach Populations ; 2013; Ridolfo, H., Ott, K.
- Evaluation of a Sequential Mixed-Mode Design Experiment with Physicians on Response Rates, Costs, and...; 2013; Geisen, E., Olmsted, M. G., Murphy, J., Stanley, M.
- Mode Effects in a National Establishment Survey; 2013; Daley, K., Phillips, B. T.
- Differential Incentives in a Dual Mode Survey of Health Care Providers; 2013; Roff, B., Barrett, K.
- Comparisons of Online Recruitment Strategies: Craigslist, Facebook, Google Ads and Amazon’s Mechanical...; 2013; Antoun, C., Zhang, C., Conrad, F. G., Schober, M. F.
- Is Pushing the General Public to the Web in Address-Based Samples Cost Effective?; 2013; Lesser, V. M.
- Using the iPad as a Prize-Based Incentive to Boost Response Rates: A Case Study at Brigham Young University...; 2013; McClendon, R., Olsen, D.
- Examining the Effects of Interventions to Obtain Participation via Less Expensive Modes: Results from...; 2013; Harris-Kojetin, L., Sengupta, M., Hobbs, M., Greene, A.
- 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.
- 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.
- Responsive Design for Web Panel Data Collection; 2013; Bianchi, A., Biffignandi, S.
- Comparing the Effects of Mode Design on Response Rate, Representativeness, and Cost Per Complete in...; 2013; Tully, R.
- The Effects of Pushing Web in a Mixed-Mode Establishment Data Collection; 2013; Ellis, C.
- 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., A., Suresh, R., Speizer, H., Pratt, D.Hill, C. A.
- 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.
- Effects of E-Mailed Versus Mailed Invitations and Incentives on Response Rates, Data Quality, and Costs...; 2013; Dykema, J., Stevenson, J., Klein, L., Kim, Y., Day, B.
- 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.