Web Survey Bibliography
Software tools for developing and implementing online survey questionnaires are of essential importance. Based on the tool used, savings in time can be experienced and complexity and quality of collected data can be increased. However, corresponding issues have received very little attention in literature (Macer 2002, Crawford 2002, 2006, Vehovar et. al. 2005, Berzelak 2006, Kazcmirek 2006, 2008, Zuckerberg 2006). We present trends and key characteristics of software tools for online surveys by analyzing the WebSM database that includes over 400 inserts. In particular, tools are observed as regards support for various research process stages. Our analysis show that while core parts (online questionnaire implementation, distribution and data collection) can be fully realized online using most of the available tools, earlier stages and post–collection stages have not fully shifted online yet. In most software tools, the support for post-collection stages, such as data editing, weighting/imputation, advanced data management and analysis is usually weak or absent. Even less satisfactory is the support for questionnaire drafting and testing as there are usually no online collaboration features. Instead, word processors and exchanging questionnaire versions by e-mail are used. The practice of using software tools only when the questionnaire is finalized is clearly outdated as there is a significant potential for integrating all stages of the survey process. In order to elaborate performance differences between implementing the questionnaire using usual limited tools and collecting survey data in a fully integrated online tool, a pilot online survey platform has been developed. It supports online collaboration, comments management, archiving and versioning. We performed an experiment where same questionnaires were developed in both ways. Results show that even relatively primitive integrated tools provide better user experience and efficiency than the standard questionnaire development procedure.
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Web Survey Bibliography - Technology (933)
- The Digital Divide: The internet and social inequality in international perspective; 2013; Ragnedda, M., Muschert, G.
- Survey quality prediction system 2.0; 2013
- PDAs in socio-economic surveys: instrument bias, surveyor bias or both?; 2013; Escobal, J., Benites, S.
- Virtual research assistants: Replacing human interviewers by automated avatars in virtual worlds; 2013; Hasler, B. S., Tuchman, P., Friedman, D.
- Designing and conducting business surveys; 2013; Snijkers, G.,Araldsen, G., , Willimack, D. K.Jones, J.
- Computer science security research and human subjects: Emerging considerations for research ethics boards...; 2013; Buchanan, E. A., Aycock, J., Dexter, S., Dittrich, D., Hvizdak, E. E.
- HTML5 and mobile Web surveys: A Web experiment on new input types; 2013; Funke, F.
- Understanding and Applying Research Design; 2013; Abbott, M. L., McKinney, J.
- Online Survey Software; 2013; Baker, J. D.
- Survey of Cloud Computing; 2013; Furht, B.
- Worldwide online research spending; 2012
- What we can learn from unintentional mobile respondents; 2012; Peterson, G.
- Using multivariate statistics, 6th Edition; 2012; Tabachnick, B. G., Fidell, L. S.
- Unintentional mobile respondents; 2012; Peterson, G.
- Tracking preference expression (DNT); 2012
- The smartphone psychology manifesto; 2012; Miller, G.
- The rise of the "connected viewer"; 2012; Smith, A., Boyles, J. L.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.
- The cross platform report. Q2 -2012 - US; 2012
- Smartphone ownership update: September 2012; 2012; Rainie, L.
- Sensitive topics in PC Web and mobile web surveys: Is there a difference?; 2012; Mavletova, A. M., Couper, M. P.
- Selection bias of internet panel surveys: A comparison with a paper-based survey and national governmental...; 2012; Tsuboi, S. et al.
- Screenwise panel: Frequently Asked Questions; 2012
- Research company spotlight - Mobile surveys; 2012
- Redeveloping the research section of Meningitis UK's website — A case study report; 2012; Witt, J. et al.
- Participation of mobile users in traditional online studies; 2012; Jue, A.
- Online survey statistics for the mobile future. Updated with Q3 2012 data; 2012
- Ofcom technology tracker Wave 3; 2012
- Ofcom technology tracker Wave 2; 2012
- NBCU enlists Google, ComScore to track multiscreen Olympics viewing; 2012; Spangler, T.
- MRS Guidelines for online reseach; 2012
- Mobile usability; 2012; Nielsen, J., Budiu, R.
- Mobile email opens report 2nd half 2011; 2012
- Metering mobile usage. Insights from global Arbitron mobile trends panel; 2012; Verkasalo, H.
- Media tracker; 2012
- Measuring modern media consumption; 2012; Arini, N.
- ISO 20252. Market, opinion and social research-Vocabulary and service requirements, 2nd Edition; 2012
- Internet use in households and by individual in 2012. Eurostat Statistics in Focus 50/2012; 2012; Seybert, H.
- Internet access - Households and individuals, 2012 part 2; 2012
- Internet access - Households and individuals, 2012; 2012
- Google et Médiamétrie créent une audience bimédia; 2012; Gonzales, P.
- GMI Pinnacle; 2012
- Flowing with the mainstream. Is mobile market research finally living up to the hype?; 2012; Townsend, L.
- Eurobarometer Special surveys: Special Eurobarometer 381; 2012
- Ebook readings jumps, print book reading declines; 2012; Rainie, L., Duggan, M.
- Digital Divides: A connectivity continuum for the United States. Data from the 2011 Current Population...; 2012; File, T.
- Developments and the impact of smart technology; 2012; Macer, T.
- Better customer in sight in real time; 2012; Macdonald, E., Wilson, H. N., Konus, H.
- Adult gadget ownership over time (2006-2012); 2012
- 28 Questions to Help Buyers of Online Samples; 2012
