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 - Web surveys (4182)
- Web Panel Representativeness; 2013; Bianchi, A., Biffignandi, S.
- Interactive applets on the Web for methods and statistics; 2013; Reips, U. -D., McClelland, G.
- Economic valuation in Web surveys; A review of the state of the art and best practices; 2013; Menegaki, A. N., Tsagarakis, K. P.
- Can creative web survey questionnaire design improve the response quality?; 2013; Angelovska, J., Mavrikiou, P. M.
- Utilization of High-Technology to Collect Health Risk Assessment Information from Medicare Members:...; 2013; Freedman, D., VanderHorst, N.
- Respondent Behavior Logging: An Opportunity for Online Survey Design; 2013; Sjoestroem, J., Rahman, M. H., Rafiq, A., Lochan, R., Agerfalk, P. J.
- Beyond Satisfaction Questionnaires: “Hacking” the Online Survey; 2013; Evans, A. L.
- Methodological Issues in the Design of Online Surveys for Measuring Unethical Work Behavior: Recommendations...; 2013; Wouters, K., Maesschalck, J., Peeters, C. F. W., Roosen, 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.
- Comparison of Smartphone and Online Computer Survey Administration; 2013; Wells, T., Bailey, J., Link, M. W.
- Panel Conditioning in Difficult Attitudinal Questions; 2013; Binswanger, J., Schunk, D., Toepoel, V.
- Web Coverage in the UK and its Potential Impact on General Population Web Surveys; 2013; Callegaro, M.
- Issues of Coverage and Sampling in Web Surveys for the General Population; 2013; Lynn, P.
- Attitudes of Nebraska Residents on Nebraska Water Management; 2013; Dillman, D. A., Edwards, M. L.
- Attitudes of Washington Residents on Washington Water Management; 2013; Dillman, D. A., Edwards, M. L.
- A Comparison of Data Quality Across Modes in a Mixed-Mode Collection of Administrative Records; 2013; Worthy, M., Mayclin, D.
- To Click, Type, or Drag? Evaluating Speed of Survey Data Input Methods; 2013; Husser, J. A., Husser, J. A.
- Web psychosocial surveys in cancer survivorship - a methodological note; 2013; Santin, O., Mills, M., Treanor, C., Mc Donald, G., Donnelly, M.
- Internet visual media processing: a survey with graphics and vision applications; 2013; Hu, S.-M., Chen, T., Xu, K., Cheng, M.-M., Martin, R. R.
- Online Case Studies: HESI Exit Exam Scores and NCLEX-RN Outcomes; 2013; Young, A., Rose, G., Willson, P.
- The Challenges and Benefits of Distance Mentoring; 2013; Lach, H. W. et al
- Hail to Thee, Our Alma Mater: Alumni Role Identity and the Relationship to Institutional Support Behaviors...; 2013; McDearmon, J. T.
- 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.
- The Effect of Survey Mode on High School Risk Behavior Data: a Comparison between Web and Paper-based...; 2013; Raghupathy, S., Hahn-Smith, S.
- 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.
- Permission email messages significantly increase gambler retention; 2013; Jolley, W., Lee, A., Mizerski, R., Sadeque, S.
- How virtual corporate social responsibility dialogs generate value: A framework and propositions; 2013; Korschun, D., Du, S.
- The moderating role of socio-semantic networks on online buzz diffusion; 2013; Lee, H., Lee, D. I., Kim, T., Kim, T., Lee, J.
- Discovering interest groups for marketing in virtual communities: An integrated approach; 2013; Wang, K. -Y., Wu, H. -J., Ting, I -H.
- Understanding service quality in a virtual travel community environment; 2013; Elliot, S., Li, G., Choi, C.
- Research note: E-store image, perceived value and perceived risk; 2013; Chang, E. -C., Tseng, Y. -F.
- Retail relationships in a digital age; 2013; Keeling, K., Keeling, D., McGoldrick, P.
- Gamification Master Class; 2013; Puleston, J.
- Research Communities in Asia Pacific: A review of similarities and contrasts; 2013; Poynter, R.
- Measuring Up: Impact of mobile and segmentation on respondent behaviour; 2013; Luck, K.
- Best of Both Worlds? Can we make convenience samples representative?; 2013; Doe, P.
- Multimode, Global Scale Usage: Understanding respondent scale usage across borders and devices; 2013; Pettit, F. A., Courtright, M.
- Doing real time research: Opportunities and challenges; 2013; Back, L., Lury, C., Zimmer, R.
- New social media, new social science?; 2013; Woodfield, K., Morrell, G.
- Digital technology and data collection; 2013; Henriksen, B., Jewitt, C., Price, S., Sakr, M.
- The impact of website content dimension and e-trust on e-marketing effectiveness: The case of Iranian...; 2013; Rahimnia, F., Farzaneh Hassanzadeh, J.
- Service with an e-smile: Employee authenticity and customer use of web-based support services; 2013; Turel, O., Connelly, C. E., Fisk, G. M.
- Survey Breakoffs in a Computer-Assisted Telephone Interview; 2013; McGonagle, K.