Web Survey Bibliography
Relevance & Research Question: Contemporary empirical research is increasingly supported with information-communication technologies. Despite playing an extremely important role, online software tools receive only little attention in literature; rare examples include Macer (2002), Crafword (2002, 2006), Vehovar et. al. (2005), Berzelak (2006), Kazcmirek (2006, 2008) and Zuckerberg (2006).
Methods & Data: We used the public WebSM database of 400 online survey tools, where key characteristics were observed for each tool: pricing, code availability, languages, countries, support, website characteristics, promotion etc. The analysis enables studying trends in historical context within CASIC developments. Next, software tools were tested and evaluated according to 50 differentiating features related to questionnaire design, appearance, routing, sample management, multi-mode support, data security, paradata, data export, and reporting. A clustering of existing software was performed based on these characteristics. In addition, as results confirm various customer studies showing that lack of integration (e.g. support to early stages of questionnaire development) is the key deficiency of contemporary web software tools, an experiment was conducted. One group developed a questionnaire the usual way (drafts in a word processor, exchanged via e-mail and only the finalized version converted to the online tool), while the other group developed the same questionnaire using a prototype software which supports full integration from the earliest stage.
Results: Web software tools can be classified into three large groups. However, all three suffer from a relatively weak support for post-survey activities (editing, coding, weighting, analysis), in particular the lack of an integrated support for questionnaire development (on-line collaboration, drafting, archiving, commenting, versioning, editing). Namely, all software assumes a pre-existing questionnaire version, which was already extensively pre-communicated in some external software (e.g. e-mail). The results of the experiment reconfirm the problem: the users clearly prefer the integrated online tool.
Added Value: This is the first comprehensive study of all available web survey software on the market ever. Besides the insight into the status and trends, the results demonstrate key deficiencies of current web software (i.e. lack of integration), while the experiment performed in the study suggests a possible solution.
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Web Survey Bibliography (6797)
- Conceptualising and evaluating experiences with brands on Facebook; 2013; Smith, S.
- Lotteries and study results in market research online panels; 2013; Goeritz, A.; Luthe, S. C.
- Estimates on the effectiveness of web application firewalls against targeted attacks; 2013; Holm, H., Ekstedt, M.
- Respondent Rewards: Money for Nothing?; 2013; Martin, P.
- How to make your questionnaire mobile-ready; 2013; Cape, P. J.
- Did I Do That? How Trap Questions Can Hurt Data Quality; 2013; Phillips, K.
- Leveraging mobile and online qualitative to get inside shoppers’ heads; 2013; Bryson, J., Ritzo, J.
- A report on the Confirmit Market Research Software Survey 2013; 2013; Macer, T., Wilson, S.
- Thoughts on using the new online qualitative tools; 2013; Freund, N. M.
- 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.
- An evaluation of mixed methods (diaries and focus groups) when working with older people; 2013; Koopman-Boyden, P., Richardson, M.
- 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.
- 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.
- 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.
- Optimizing quality of response through adaptive survey designs; 2013; Schouten, B., Calinescu, M., Luiten, A.
- 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.
- On the Impact of Response Patterns on Survey Estimates from Access Panels; 2013; Enderle, T., Muennich, R., Bruch, C.
- A Comparison of Data Quality Across Modes in a Mixed-Mode Collection of Administrative Records; 2013; Worthy, M., Mayclin, D.
- Reconceptualizing Survey Representativeness for Evaluating and Using Nonprobability Samples; 2013; Fan, D. P.
- To Click, Type, or Drag? Evaluating Speed of Survey Data Input Methods; 2013; Husser, J. A., Husser, J. A.
- Unit Nonresponse and Weighting Adjustments: A Critical Review; 2013; Brick, J. M.
- 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.
- Measuring the impact of the Web: Rasch modelling for survey evaluation; 2013; Annoni, P., Weziak-Bialowolska, D., Farhan, H.
- 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.
- Using Tablet Computers For “Intentional” Mobile Research; 2013; Seal, J.
- Encouraging Record Use For Financial Asset Questions In A Web Survey; 2013; Couper, M. P., Ofstedal, M. B., Lee, S.
- Experiments with methods to reduce attrition in longitudinal surveys; 2013; Fumagalli, L., Laurie, H., Lynn, P.
- 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.