Web Survey Bibliography
Two different formats of labelling in rating scales are commonly used in questionnaires: verbal labels for the end categories only (END form), and verbal labels for each of the categories (ALL form). On the one hand, there are a lot of research findings which recommend the usage of the ALL form, but on the other hand, there is no clear evidence whether this only holds true for short answer scales (e.g. with up to five categories) or also for longer answer scales (e.g. with seven categories).
In the current study, we take a closer look at how much attention respondents pay to the information transported by verbal labels. Attention was tracked in a laboratory setting employing Web-based surveys and eye-tracking technology, measuring fixation times and fixation counts on answer scales. Additional dependent variables were ease of administration and measurement quality. We conducted two experiments: one applied seven and the other applied five answer categories with N = 47 participants in each of the experiments. The results show that the ALL form provides a better reliability, however, the probability that respondents attend to all verbal labels is significantly lower in the ALL form than in the END form. This was particularly evident in the case of the seven categories rating scale. With regard to the ease of administration mixed results were obtained. In decisions on the optimal design of rating scales the positive or negative wording of the items and the length of the item battery seem to play a role.
Conference Homepage (abstract)
Web Survey Bibliography - Technology (916)
- 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.
- 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
- Facing The Future Webcams as a survey tool in China; 2012; Gordon, A., Llewellyn, T., Gu, E.
- Using Free Online Survey Software in Your Teaching; 2012; Chippindall, J.
