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.
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Web survey bibliography (4086)
- 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, Ji.
- Open-ended questions and text analysis; 2008; Popping, R.
- Coding Verbal Data - What to Optimize?; 2008; Krippendorff, K.
- An evaluation of the weighting procedures for an online access panel survey; 2008; Loosveldt, G., Sonck, N.
- The adequacy of response rates to online and paper surveys: what can be done?; 2008; Nulty, D. D.
- Validity of an On-Line Panel Approach to Citizen Surveys; 2008; Van Ryzin, G. G.
- Internet dating: a British survey; 2008; Gunter, B.
- Survey of Web Developers in Academic Libraries ; 2008; Connell, R. S.
- Online vs. face-to-face discussion in a web-based research methods course for postgraduate nursing students...; 2008; Campbell, M., Gibson, W., Hall, A., Richards, D., Callery, P.
- Using Web 2.0 to Conduct Qualitative Research: A Conceptual Model ; 2008
- Testing telephone and web surveys for studying men's sexual assault perpetration behaviors ; 2008; DiNitto, D. M., Busch-Armendariz, N. B., Bender, K., Woo, H., Tackett-Gibson, M., Dyer, J.
- Integrating Qualitative and Quantitative Research Methods: Uncovering Emotional Drivers From Qualitative...; 2008; Reid, Aa.
- Mobile Research: Five Ways To Collect Data Using Mobile Devices; 2008; Conry, S.
- Best Practices For Identifying Duplicate Respondents; 2008; Ouren. J., Dickie, W. J., Chokeir, N.
- Engaged Respondents Are Better- Innovative Techniques To Improve Response; 2008; Sleep, D.
- Analytic implications of panel data quality; 2008; Harlow, B.
- Measuring the value of respondent engagement; 2008; Puleston, J., Sleep, D.
- Pavlov revisited; 2008; De Wulf, K., Friedman, M., Borggreve, B.
- Between random samples and online panels; 2008; Crassweller, A., Rogers, J.
- Digital moms; 2008; Wilbur, C. Rimmer, L.
- 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.
- Getting animated about emotion; 2008; Penn, D.
- Can online panels be truly global?; 2008; Shashkin, A. V.
- Digital video at the service of research; 2008; McClure, S., Renard, M. C.
- Realism in research; 2008; Richarme, M., Colias, J.
- 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.
- Use of a website to evaluate quality of work-life and quality of life among community workers helping...; 2008; Dupuis, G.
- Comparing the network structures in teams among companies: Extensions of the MTML approach; 2008; Agneessens, F., Contractor, N.
- Online poll in study of incentives to participation of youth in innovative development; 2008; Gvozdeva, E. S.
- Measuring ties on online forums; 2008; Ziberna, A., Vehovar, V., Jakulin, A.
- Using Internet Pages of Organisations as Data Source for Social Science Research; 2008; Baumgarten, B., Grauel, J.
- Social Web Data as a Source for Social Science Research. The Example of a German Online Dating Website...; 2008; Skopek, J., Schmitz, A.
- DHS CAPI Data Collection Model Using PDAs; 2008; Rojas, G.
- The relative Coverage Error in Telephone Surveys caused by Mobile-Only Populations across Europe; 2008; Fuchs, M.
- Chaotic Web: The challenge of Misinformation and Disinformation; 2008; Keshavarz, H.
- Mixed methods in online evaluation: benefits and problems; 2008; Kuckartz, U.
- Use of the Internet as a data collection tool: a methodological investigation of online synchronous...; 2008; Evans, A. R., Elford, J., Wiggins, D.
- How can we convince the general public to respond to internet surveys?; 2008; Dillman, D. A.
- Nonresponse in web surveys within the context of survey errors and survey costs; 2008; Berzelak, N., Lozar Manfreda, K., Vehovar, V.
- The accuracy of online surveys with non-probability samples; 2008; Krosnick, J. A.
- The Danish time use and consumption survey 2008/9 - preliminary experiencies from applying a combined...; 2008; Bonke, J.
- On the feasibility of collecting biomarker data in an internet panel; 2008; Avendano, M., Mackenbach, J.
- Exploring the use of visual analog scales in web surveys; 2008; Couper, M. P.
- Internet access and cognitive ability: analysis of selectivity of internet interviews in the cognitive...; 2008; Willis, B.