Web Survey Bibliography
Eight years ago, in 2002, the Basque Statistics Office (Eustat) began to use Internet as part of its data collection processes, fundamentally to make it easier for the data providers to respond. As of today and with the target now met, Eustat benefits from all the positive aspects that this new web data collection channel offers. These aspects include cost cutting, improving the management of the human resources involved in data collection and, above all, improving the satisfaction of the data providers, as it offers a more userfriendly way for them to submit their input. Practically all the surveys conducted by Eustat currently use the web collection mode. Structural and situational surveys are included within this total. In addition to its importance in terms of collecting information, the web channel also presents a significant challenge from the technological point of view. Eustat has therefore embarked on a strategic project to standardise and homogenize all the web collection computer applications. This project established the design directives to be met by all applications and also set up a software component repository to be used by all external and internal software developers. This means that the development code is reused and costs and time are cut when developing new Web computer applications. It should also be noted that another of the fundamental objectives of the project is to improve the software maintenance processes in order to simplify the tasks to update and adapt the programs. These tasks are standard due to the ongoing functional changes and continuous improvement throughout the life cycle of the applications. In general, the Eustat web channel standardisation project consists of defining a single technical architecture to develop software components, the setting up of a sole platform for all computer applications, establishing a single entry point for all surveys and the inclusion of new security mechanisms to guarantee both the integrity and authentication of the data collected using that channel.
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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
