Web Survey Bibliography
There are many different schemes for classifying the final disposition of cases in a survey. Our committee reviewed more than two dozen classifications and found no two exactly alike. They distinguished between 7 and 28 basic categories. Many codes were unique to a particular study and categories often were neither clearly defined nor comparable across surveys.
To avoid this babel of survey disposition codes, and to allow the comparable reporting of final dispositions and consistent calculation of outcome rates, AAPOR proposes a standardized classification system for final disposition of sample cases, and a series of formulas that use these codes to define and calculate the various rates.
A detailed report of the final disposition status of all sampled cases in a survey is vital for documenting a survey’s performance and determining various outcome rates. Such a record is as important as detailed business ledgers are to a bank or business. In recognition of this premise, the reports on the final disposition of cases are often referred to as accounting tables (Frankel, 1983; Madow, et. al., 1983). They are as essential to a well-documented survey as the former are to a well-organized business.
AAPOR - Homepage (abstract) / (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.
