Web Survey Bibliography
We utilize and apply visual design theory to experimentally test ways to improve the likelihood that web respondents report date answers in a particular format desired by the researcher, thus reducing possible deleterious effects of error messages or requests for corrections. In addition, we compare the effects of verbal language changes in the query for both web and telephone respondents. These experiments were embedded in a series of surveys, conducted by web and telephone, of random samples of university students. We seek to examine the sequential and cumulative effects of visually manipulating the size and proximity of the answer spaces, the use of symbols instead of words, and the graphical location of the symbolic instruction. Our results show that the successive series of visual language manipulations improve respondents’ use of the desired format (2 digits for the month and 4 digits for the year) from 45% to 95%. We also find that verbal language changes in the query have powerful effects on the telephone survey but have virtually no effect on the web where respondents are provided additional symbolic and graphical information located with the answer spaces. These results suggest that writing effective questions for web surveys may depend as much or more on the presentation of the answer categories/spaces as the question wording itself.
Homepage - SESRC (Full text)
Web Survey Bibliography - Reports, seminars (269)
- Ten questions to ask your online survey provider; 2013; Williams, D.
- Survey quality prediction system 2.0; 2013
- Report Of The AAPOR Task Force On Non-probability sampling; 2013; Baker, R. P., Brick, J. M., Bates, N., Battaglia, M. P., Couper, M. P., Dever, J. A., Gile, K. J., Tourangeau...
- Mode Matters: Evaluating Response Comparability in a Mixed-Mode Survey; 2013; Bowyer, B. T., Rogowski, J. C.
- Askito: An open source Web questionnaire tool; 2013; Reips, U. -D., Heilmann, T.
- Tracking preference expression (DNT); 2012
- The rise of the "connected viewer"; 2012; Smith, A., Boyles, J. L.
- The cross platform report. Q2 -2012 - US; 2012
- Smartphone ownership update: September 2012; 2012; Rainie, L.
- 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
- Norme di qualita' Assirm (Assirm quality rules]; 2012
- NBCU enlists Google, ComScore to track multiscreen Olympics viewing; 2012; Spangler, T.
- MRS Guidelines for online reseach; 2012
- More dirty little secrets of online panel research.; 2012
- Mobile email opens report 2nd half 2011; 2012
- 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
- Global market research 2012; 2012
- 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.
- Adult gadget ownership over time (2006-2012); 2012
- WebSM Study: Survey software features overview ; 2012; Vehovar, V.; Cehovin, G.; Kavcic, L.; Lenar, J.
- The World's Simplest Survey Microsimulator (WSSM); 2012; Karr, A. F., Cox, L. H.
- Impact and the Research Excellence Framework: New challenges for universities; 2012; Grant, J.
- Mobile Befragungen: Was Big Data mit kleinen Geräten zu tun hat; 2012
- Understanding Mode Effects between Mobile Web and Mobile SMS Surveys; 2012; Poduska, B., Johnson, P.
- An Initial Look at Non-Response and Attrition in Understanding Society; 2012; Lynn, P., Burton, J., Kaminska, O., Knies, G., Nandi, A.
- Understanding Society Innovation Panel Wave 4: Results from Methodological Experiments; 2012; Burton, J., Budd, S., Gilbert, E., Jaeckle, A., Kaminska, O., Uhrig, S.C. N., Brown, M., Calderwood,...
- The Propensity of Older Respondents to Participate in a General Purpose Survey; 2012; Lynn, P.
- Mode-Switch Protocols: How a Seemingly Small Design Difference can affect Attrition Rates and Attrition...; 2012; Lynn, P.
- The Confirmit Annual Market Research Software Survey 2011; 2012; Macer, T.,
- Marktforschung mit dem iPad-Panel von Axel Springer Media Impact; 2012
- Comparing Google Consumer Surveys to Existing Probability and Non-Probability Based Internet Surveys...; 2012; McDonald, P., Mohebbi, M., Slatkin, B.
- The Impact of Visual Design in Survey Cover Letters on Response and Web Take-Up Rates; 2012; Mockovak, W.
- What is Probit; 2011
- User agent; 2011
- Unpublisihed internal Google report on break off rates by device type; 2011; Callegaro, M.
- The impact of cookie deletion on site-server and ad-server metrics in Australia. An empirical comScore...; 2011
- The GfK NOP Media Efficiency Panel; 2011; Moy, C. et al.
- Survey paradata: a review; 2011; Nicolaas, G.
