Web Survey Bibliography
Although survey researchers often use mixed-mode surveys to help reduce particular forms of survey error, speed up data collection, or lower costs (de Leeuw, 2005; Pierzchala, 2006), current research is unclear which sequence of modes is most effective. Once the survey is in field, it is also not clear which method of non-response prompting is best. Reminder postcards are a well-accepted strategy for prompting non-respondents to complete questionnaires (Dillman et al, 2008), although recent research suggests using an automated phone message can be an effective (and cheaper) prompting tool (Census, 2004). However, it is not clear which method results in the highest response rate (McCarthy, 2007; McCarthy, 2008). Furthermore, there is little literature on the efficacy of live interviewer prompting as compared to automated messages or postcards. In order to address these questions, experiments were embedded in the administration of the 2010 IRS Individual Taxpayer Burden Survey. The experiment compared mode sequence as well as non-response prompting. At the initial contact, approximately one-quarter of the sample received a mailed hard copy invitation to the web survey, while the remainder received the paper survey. A reminder prompt for the entire sample was then followed by a mailing of the paper survey to all non-respondents. For the final contact, 40% of non-respondents received a paper survey by express mail, 20% received an automated telephone prompt, and the remaining 40% received a telephone prompt from a human interviewer. Our analysis will examine the results of the experiment to answer two questions: (1) Which mode should we offer first to maximize response rates and minimize costs; and (2) Which final method of non-response prompting yields the highest response rate at the lowest cost? Whenever feasible, we will include demographic variables in the analysis to determine which contact strategies are most effective for which groups.
AAPOR Homepage (abstract)
CASRO Homepage (presentation)
Web Survey Bibliography - Costs (460)
- 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.
