Web Survey Bibliography
Relevance & Research Question: We study the (non)response behaviour in web surveys using paradata which offer a full insight into the questionnaire response process, allowing to observing the behaviour of respondents when going through the questionnaire. We use Bosnjak and Tuten’s (2001) classification of seven groups of web survey participants: complete responders, unit nonresponders, answering drop-outs, lurkers, lurking drop-outs, item nonresponderns and item non-responding drop-outs. This classification is important for understanding the web survey process and to develop standardized response metrics to measure web survey (non)response rates.
Methods & Data: We applied above classification to study the behaviour of respondents in a sample of 50 surveys selected out of more than 2,000 web surveys, hosted by a web survey service at our University. Participants were classified into seven categories based on the available paradata. These include time stamps, information on participants' equipment, data on how many pages of the questionnaire were viewed and how many responses given by each respondent before quitting the survey. We develop a methodology how to use paradata to classify units into the 7 categories. A two-level statistical analysis is then performed on collected data taking into account the level of individual respondents and the level of the survey.
Results: We show that classifying participants into several response categories and study their characteristics allow better insight into the survey response process. We also show which characteristics of participants (better equipment) and which characteristics of survey design (length, topic) influence certain response behavior.
Added Value: Studying several surveys with a meta-analytical approach and performing a two-level statistical analysis is relatively rare and new approach in this area. It provides precious insight into how the survey characteristics influence the behavior. Based on that, new knowledge is generated about tailoring the questionnaire design so to minimize various types of nonresponse behaviour. In addition, results enable to propose improvements of the seven group classification scheme.
Conference Homepage (abstract)
Web Survey Bibliography - Nonresponse (2070)
- Measurement error calibration in mixed-mode sample surveys; 2013; Buelens, B., van der Brakel, J.
- Optimal Resource Allocation in Adaptive Survey Designs; 2013; Calinescu, M.
- MOTUS: Modular online Time-Use Survey; 2013; Joeri, M., Ignace, G., van Tienoven, T. P., Djiwo, W.
- Response Burden in Official Business Surveys: Measurement and Reduction Practices of National Statistical...; 2013; Giesen, D., Bavdaz, M., Loefgren, T., Raymond-Blaess, V.
- Should the third reminder be sent? The role of survey response timing on web survey results; 2013; Rao, K., Pennington, J.
- Factors affecting the decision to participate in the internet option for the 2010 Census of Korea ; 2013; Lee, E., Kim, S.
- Web panel surveys – can they be designed and used in a scientifically sound way?; 2013; Svensson , J.
- A standard with quality indicators for web panel surveys: a Swedish example; 2013; Nyfjaell, M.
- Web Panels for Official Statistics? ; 2013; Bethlehem, J., Cobben, F.
- Assessing Nonresponse Bias in the Green Technologies and Practices Survey; 2013; Meekins, B., Sverchkov, M., Stang, S.
- Using an Item Response Theory Approach to Measure Survey Mode of Administration Effects: Analysis of...; 2013; Mariano, L. T., Elliott, M. N.
- The Role of Mode Preference Questions in Predicting Mode-Specific Response Propensities; 2013; Lynn, P., Kaminska, O.
- Model-Based Mode of Data Collection Switching from Internet to Mail in the American Community Survey; 2013; Chesnut, J.
- Estimating Mode Effects Without Bias: A Randomized Experiment to Compare Mode Effects Between Face-to...; 2013; Rivers, D., Vavreck, L.
- Lotteries and study results in market research online panels; 2013; Goeritz, A.; Luthe, S. C.
- Respondent Rewards: Money for Nothing?; 2013; Martin, P.
- Did I Do That? How Trap Questions Can Hurt Data Quality; 2013; Phillips, K.
- Web Panel Representativeness; 2013; Bianchi, A., Biffignandi, S.
- Can creative web survey questionnaire design improve the response quality?; 2013; Angelovska, J., Mavrikiou, P. M.
- Use of mobile devices to answer online surveys: implications for research; 2013; Cunningham, J. A., Neighbors, C., Bertholet, N., Hendershot, C. S.
- Enhancing student engagement in student experience surveys: a mixed methods study; 2013; Webber, M., Lynch, S., Oluku, J.
- Where Am I? A Meta-Analysis of Experiments on the Effects of Progress Indicators for Web Surveys; 2013; Villar, A., Callegaro, M., Yang, Y.
- Field Lessons From the Delivery of Questionnaires to Young Adults Using Mobile Phones; 2013; van Heerden, A. C., Norris, S. A., Tollman, S. M., Stein, A. D., Richter, L. M.
- Attitudes of Nebraska Residents on Nebraska Water Management; 2013; Dillman, D. A., Edwards, M. L.
- On the Impact of Response Patterns on Survey Estimates from Access Panels; 2013; Enderle, T., Muennich, R., Bruch, C.
- Reconceptualizing Survey Representativeness for Evaluating and Using Nonprobability Samples; 2013; Fan, D. P.
- Unit Nonresponse and Weighting Adjustments: A Critical Review; 2013; Brick, J. M.
- Encouraging Record Use For Financial Asset Questions In A Web Survey; 2013; Couper, M. P., Ofstedal, M. B., Lee, S.
- Can Online Surveys Substitute Traditional Modes? An Error-Based Comparison of Online and On-Site Tourism...; 2013; Kim, N., Yu, X., Schwartz, Z.
- 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.
- Going online with a face-to-face household panel: initial results from an experiment on the Understanding...; 2013; Jaeckle, A., Lynn, P., Burton, J.
- Targeted response inducement strategies on longitudinal surveys; 2013; Lynn, P.
- Measuring Up: Impact of mobile and segmentation on respondent behaviour; 2013; Luck, K.
- Survey Breakoffs in a Computer-Assisted Telephone Interview; 2013; McGonagle, K.
- Developing a New Mixed-Mode Methodology For a Provincial Park Camper Survey in British Columbia; 2013; Dyck, B. W.
- Exploring factors associated with respondent mode choice for surveys using mobile devices.; 2013; Walton, L.
- Responsive design for mixed-mode panel data; 2013; Bianchi, A., Biffignandi, S.
- Adjusting for bias in a mixed-mode CAWI survey on University students ; 2013; Clerici, R., Giraldo, A.
- Comparative analysis of data from web and face-to-face surveys. A case study on e-commerce in young...; 2013; Cappello, C., Pellegrino, D.
- Specific mixed-mode methodologies to include sensory disabled people in quantitative surveys; 2013; Sebastien, F., Marc, J., Patrick, I.
- 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.
- Online Survey Participation via Mobile Devices: implications for nonresponse; 2013; Poggio, T., Bosnjak, M.
- Mobile devices a way to recruit hard-to-reach groups? Results from a pilot study comparing desk top...; 2013; Toepoel, V., Lugtig, P. J.
- The Attention Span of a Goldfish: Impacts of Survey Mobilization on Respondents ; 2013; Luck, K.
- Web questionnaires in official population surveys: Do's and don'ts First experiments and impacts...; 2013; Blanke, K.
- Effects of Sponsorship on Response: Mixed-Mode Web and Mail Surveying ; 2013; Edwards, M. L., Dillman, D. A., Smyth, J.
- Does left still feel right? The optimal position of answer boxes in Web surveys - revisited; 2013; Lenzner, T., Kaczmirek, L.,Galesic, M.