Web Survey Bibliography
With the current growth in broadband penetration, Internet is likely to be the data collection mode of choice for contingent valuation (CV) and stated preference research in the not so distant future. However, little is known about how this survey mode may influence data quality and welfare estimates. In a controlled field experiment as part of a large national CV survey estimating willingness to pay (WTP) for biodiversity protection plans, we assign two groups sampled from the same panel of respondents, either to an Internet or in-person interview mode. Our design is better able than previous mode comparison studies to isolate measurement effects from sample composition effects. Looking in particular for indications of social desirability bias and satisficing (shortcutting the response process) we find little evidence in our data. We find that the extent of “don’t know”, zeros and protest responses to the WTP question (with a payment card) is very similar between modes. Mean WTP is somewhat higher in the interview sample, though we cannot reject equality on the 10 percent level. We also consider equivalence, i.e. whether the WTP difference is larger than a practically trivial predetermined bound. We can reject that the difference is larger than 30 percent, but fail to reject an equivalency bound of 20 percent on the 10 percent level. Results are quite encouraging for the use of Internet as values do not seem to be significantly different or substantially biased compared to in-person interviews.
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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.
