Web Survey Bibliography
The wide accessibility of computer-based technologies like the previous termInternetnext term and Interactive Voice Response (IVR) systems raises the question of whether population previous termsurveynext term data could be collected more easily and cheaply compared to using paper questionnaires. In the area of possibly stigmatized behaviors such as problematic alcohol and drug use, the question extends to whether the prevalence of such behaviors in the general population could be surveyed without compromising the quality of the data.
This study compares previous termInternetnext term and IVR versions of the AUDIT and DUDIT with respect to: (1) response rate, (2) problematic alcohol and drug use and (3) reliability.
5000 individuals, randomly selected from the Swedish general population, were contacted via postal mail and invited to complete the AUDIT and DUDIT questionnaires via previous termInternetnext term or IVR. In total, 1861 (37.8%) participated in the study, 1089 via previous termInternetnext term and 772 via IVR.
The previous termInternetnext term administration mode yielded a higher response rate (38.1%) compared to the IVR mode (33.9%). When respondents were given a choice between previous termInternetnext term and IVR, a higher response rate resulted (43.2–46.6%). Problematic alcohol and drug use occurred among 21.1% and 2.8% of the sample, respectively, with no significant differences by administration mode. Both the AUDIT and DUDIT exhibited satisfactory reliability across administration modes, Cronbach's α 0.76/0.86.
Data quality does not deteriorate with computerized administration methods for the AUDIT and DUDIT in population studies but paper questionnaires should also be made available to respondents in order to maximize response rates.
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Web Survey Bibliography - Technology (934)
- 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.
- WebSM Study: Speed and efficiency of online survey tools; 2012; Cehovin, G.; Vehovar, V.
- 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