Web Survey Bibliography
Contemporary survey industry faces two highly challenging problems: declining response rates and growing costs of data collection. The (re-)balancing of data quality and costs thus presents one of the central research efforts of modern survey methodology. This became even more apparent with the rise of web surveys, which offered a new potential for the cost reductions. However, the problem of non-coverage and even lower response rates than in traditional survey modes are the key factors preventing a higher penetration of the web mode into official and academic research of the general population. Investigations of mixed-mode designs and mechanisms for improving response rates (like incentives) are thus very important for a cost-effective and high-quality survey data collection.
This paper presents the results of a study on the optimal integration of the web mode into a probability sample survey of the general population in Slovenia. For the purpose of the study, we conducted an experiment in Slovenian implementation of an official Eurostat survey on the ICT use in households using a mixed-mode design. A probability sample of Slovenian citizens was divided into several experimental groups, manipulating different survey modes (web, telephone and mail) and different types of incentives (5 euros cash incentive, a small gift or no incentive). Individuals were initially invited to complete the questionnaire on the web. Those who did not respond were subsequently contacted using one of the traditional modes (telephone or mail survey).
In order to identify the optimal survey design, we developed an optimization model that takes into account response rates, errors and costs at different stages of each experimental design. Errors are here estimated using the Mean Squared Error (MSE) approach. The paper evaluates the results obtained by the model and discusses the effectiveness of mixedmode surveys and incentives for achieving the optimal balance between errors and costs.
Web Survey Bibliography - Standards, codes (445)
- Forum - Research 2.0: engage or give up the ghost?; 2009; Oxley, M., Light, B.
- Summaries of Address-Based Sampling Presentations at the AAPOR Annual Meeting; 2009; W., Daily, G., Shuttles, D. C., Yancey, L. T., Thu Burks, A., Bourquin, C.Link, M. W.
- Effects of Questionnaire Length on Participation and Indicators of Response Quality in a Web Survey; 2009; Galesic, M., Bosnjak, M.
- Questionnaire Survey Nonresponse: A Comparison of Postal Mail and Internet Surveys ; 2009; Hoonakker, P., Carayon, P.
- Open-Ended Questions in Web Surveys: Can Increasing the Size of Answer Boxes and Providing Extra Verbal...; 2009; Smyth, J. D., Dillman, D. A., Christian, L. M., McBride, M.
- Using Internet survey paradata to optimize survey questionnaire design; 2009; Heerwegh, D.
- Nonresponse in the Recruitment of an Internet Panel Based on Probability Sampling; 2009; Hoogendoorn, A., Daalmans, J.
- Internet research differs from research on internet users: some methodological insights into online...; 2009; Lohmann, M., Schmucker, D. J.
- Improving survey response in mail and internet general public surveys using address-based sampling and...; 2009; Messer, B. L.
- Are Mode Preferences Real?; 2009; Millar, M. M., O'Neill, A. C., Dillman, D. A.
- The Internet as a research site: establishment of a web-based longitudinal study of the nursing and...; 2009; Huntington, A., Gilmour, J., Schluter, P., Tuckett, A., Bogossian, F., Turner, C.
- Mobile Phone Interviewing - Why being engaged is a good thing!; 2009; Johnson, A. J., Martin, P.
- Mobility, Flexibility and Identity - How the use of mobile questionnaires improves the data quality...; 2009; Hellwig, O., Wirth, T.
- Anytime, Anywhere Mobile Interviewing: Comparing Mobile Voice and Web Response Patterns; 2009; Petit, F. C.
- Using mobile phones to measure TV-broadcast quality; 2009; Wieland, J. L., Puggaard, B.
- Life360: Use of Mobile Technology for Electronic Ethnographic Studies; 2009; W., Lai, J. W., Vanno, L., Makowska, H., Benezra, K., Green, M.Link, M. W.
- Ethical suicide research: A survey of researchers ; 2009; Lakeman, R., Fitzgerald, M.
- Mobile phone surveys in mixed mode environment; 2009; Vehovar, V.
- Survey Methodology (Wiley Series in Survey Methodology); 2009; Groves, R. M., Fowler, F. J., Couper, M. P., Lepkowski, J. M., Singer, E., Tourangeau, R.
- Introducing Visual Methods ; 2008; Prosser, J., Loxley, A.
- Providing Real-Time Incentives for Anonymous Web Surveys; 2008; Heinrich, T.
- Technology and the Survey Interview and Questionnaire; 2008; Couper, M. P.
- Quality Criteria for Quantitative, Qualitative and Mixed Methods Research: A View from Social Policy...; 2008; Bryman, A., Becker, S., Sempik, J.
- Encyclopedia of Survey Research Methods; 2008; Lavrakas, P. J.
- Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method ; 2008; Dillman, D. A., Christian, L. M., Smyth, J. D.
- The Methodological Issues Associated With Internet-Based Research; 2008; Beddows, E.
- Experiments in Mobile Web Survey Design; 2008; Peytchev, A., Hill, C.
- A multimedia-based and time-sensitive interactive web survey for road user opinion on traffic condition...; 2008; Posawang, P., Phosaard, S., Polnigongit, W., Pattara-Atikom, W.
- CAQDAS, Secondary Analysis and the Coding of Survey Data; 2008; Fielding, N.
- Machines that Learn how to Code Open-Ended Survey Data: Underlying Principles, Experimental Data, and...; 2008; Sebastiani, F.
- Computer coding of 1992 ANES Like/Dislike and MIP responses; 2008; Fan, D. P.
- CATA (Computer Aided Text Analysis) Options for the Coding of Open-Ended Survey Data; 2008; Skalski, P.
- Classifying Open Occupation Descriptions in the Current Population Survey; 2008; Conrad, F. G., Couper, M. P.
- Coding Responses Generated by Open-Ended Questions: Meaning Matching or Meaning Inference?; 2008; Potter, J.
- Open-ended questions and text analysis; 2008; Popping, R.
- Coding Verbal Data - What to Optimize?; 2008; Krippendorff, K.
- Practical advice for conducting ethical online experiments and questionnaires for United States psychologists...; 2008; Barchard K. A., Williams, J.
- Research Instruments: Driving e-Science? ; 2008; Schroeder, R.
- The US Institutional Review Board and Online Research Ethics; 2008; Markham, A., Buchanan, E. A., Ess, C.
- What Can We Achieve With 5 Euros? Optimization of Survey Data Quality Using Mixed-Mode Approaches; 2008; Berzelak, N., Vehovar, V., Lozar Manfreda, K.
- Measuring Non-Response Cross Nationally; 2008; Blom, A. G.
- Testing the Effects of Multiple Manipulations on Print and Online Survey Response Rates: Lessons Learned...; 2008; Bachman, M., Vaccaro, D.
- Validating Check-All and Forced-Choice Question in a Paper Survey of Provincial Park Campground Users...; 2008; Dyck, B., Moore, D.
- Rate of Response in Web-Based Data Collection as a Factor of Author of E-mail Invitation; 2008; Mitra, A.
- Graduate vs. Undergraduate Student Respondent Behavior Differences in Web Surveys; 2008; Showen, S., Eisenberg, D., Roe, D. J.
- Mode Effects and Non-Response Bias in an Undergraduate Student Satisfaction Survey: Results from a Randomized...; 2008; Beach, S., Musa, D., Beeson, P., Sparks, C.
- Worth the Weight?: The Benefits and Pitfalls in Applying Survey Weights to Web Surveys of College Undergraduates...; 2008; Bloom, J. D.
- Improving the Efficiency of Web Survey Experiments; 2008; Luks, S., Rivers, D.
- Computing Metrics for Online Panels; 2008; Callegaro, M., DiSogra, C.
- 2006 Canadian Census Internet Mode Effect Study; 2008; Grondin, C., Sun, L.,