Web Survey Bibliography
Title Standard Definitions Final Dispositions of Case Codes and Outcome Rates for Surveys
Source AAPOR
Year 2016
Access date 01.06.2017
Abstract Standard Definitions is a work in progress; this is the ninth major edition. The American Association for Public Opinion Research plans to continue updating it, adding comparable definitions for other modes of data collection and making other refinements. AAPOR also is working with other organizations to further the widespread adoption and utilization of Standard Definitions. AAPOR is seeking the cooperation of companies that provide computer-assisted telephone interviewing (CATI) software. Some of these companies already have agreed to incorporate the definitions and formula into their software reports. AAPOR also is asking academic journals to use AAPOR standards in their evaluation and publication of articles; several, including Public Opinion Quarterly and the International Journal of Public Opinion Research, already have agreed to do so.
Access/Direct link AAPOR Homepage (abstract) / (full text)
Year of publication2016
Bibliographic typeReports, seminars
Web survey bibliography - Reports, seminars (389)
- Text Message Notification for Web Surveys; 2016; McGeeney, K.; Yan, H. Y.
- Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys 2016; 2016
- Standard Definitions Final Dispositions of Case Codes and Outcome Rates for Surveys; 2016
- FocusVision 2015 Annual MR Technology Report; 2016; Macer, T., Wilson, S.
- Establishing the accuracy of online panels for survey research; 2016; Bruggen, E.; van den Brakel, J.; Krosnick, J. A.
- Mixing modes of data collection in Swiss social surveys: Methodological report of the LIVES-FORS mixed...; 2016; Roberts, C.; Joye, D.; Staehli, M. E.
- Assessment of Innovations in Data Collection Technology for Understanding Society; 2016; Couper, M. P.
- Report of the Inquiry into the 2015 British general election opinion polls; 2016; Sturgis, P., Baker, N., Callegaro, M., Fisher, St., Green, J., Jennings, W., Kuha, J., Lauderdale, B...
- Evaluating a New Proposal for Detecting Data Falsification in Surveys; 2016; Simmons, K.; Mercer, A. W.; Schwarzer, S.; Courtney, K.
- Computer-assisted and online data collection in general population surveys; 2016; Skarupova, K.
- Predictive inference for non-probability samples: a simulation study ; 2016; Buelens, B.; Burger, J.; van den Brakel, J.
- ESOMAR/GRBN Online Research Guideline; 2015
- App vs. Web for Surveys of Smartphone Users: Experimenting with mobile apps for signal-contingent experience...; 2015; McGeeney, K.; Keeter, S.; Igielnik, R.; Smith, A.; Rainie, L.
- On Climbing Stairs Many Steps at a Time: The New Normal in Survey Methodology; 2015; Dillman, D. A.
- Adjusting measurement bias in sequential mixed-mode surveys using re-interview data; 2015; Klausch, L. T., Schouten, B., Buelens, B., van den Brakel, J.
- Polling Error in the 2015 UK General Election: An Analysis of YouGov’s Pre and Post-Election Polls...; 2015; Wells, A.; Rivers, D.
- GreenBook Research Industry Trends Report; 2015; Murphy, L. (Ed.)
- Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys 2015; 2015
- Methodology of the RAND Mid-Term 2014 Election Panel; 2015; Carman, K. G; Pollack, S.
- 28 Questions to Help Buyers of Online Samples; 2015; Cape, P. J.; Phillips, A.; Baker, R.; Cooke, M.; Ribeiro, E.; Terhanian, G.
- ESOMAR Guideline for Online Research; 2015
- Understanding Society Innovation Panel Wave 7: Results from Methodological Experiments; 2015; Blom, A. G.; Burton, J.; Booker, C. L.; Cernat, A.; Fairbrother, M.; Jaeckle, A.; Kaminska, O.; Keusch...
- GreenBook Research Industry Trends Report; 2015; Murphy, L. (Ed.)
- Tips for Creating Web Surveys for Completion on a Mobile Device; 2015; McGeeney, K.
- Mobile market research and the hard−to−reach consumers; 2015; Vicente, P.
- U.S. Survey Research: Sampling; 2015
- A Comparison of Different Online Sampling Approaches for Generating National Samples; 2014; Heen, M. S. J., Lieberman, J. D., Miethe, T. D.
- FocusVision 2014 Annual MR Technology Report; 2014; Macer, T., Wilson, S.
- The Changing Landscape of Technology and its Effect on Online Survey Data Collection; 2014; Mitchell, N.
- US Rehabilitation Act, Section 508; 2014
- Query on Data Collection for Social Surveys; 2014; Blanke, K., Luiten, A.
- The role of email addresses and email contact in encouraging web response in a mixed mode design ; 2014; Cernat, A., Lynn, P.
- Mixed-mode surveys of the general population - Results from the European Social Survey mixed-mode experiment...; 2014; Park, A., Humphrey, A.
- Mixed-Mode Designs bei Erhebungen mit sensitiven Fragen: Einfluss auf das Teilnahme- und Antwortverhalten...; 2014; Krug, G., Kriwy, P., Carstensen, J.
- The 2013 Market Research Technology Survey; 2014; Macer, T.; Wilson, S.
- Methods and systems for managing an online opinion survey service; 2014; Mcloughlin, M. H., Seton, N., Blesy, K.
- Social Media in Public Opinion Research: Report of the AAPOR Task Force on Emerging Technologies in...; 2014; Murphy, J., Link, M. W., Childs, J. H., Tesfaye, C., Dean, E., Stern, M. J., Pasek, J., Cohen, J., Callegaro...
- Using Longitudinal Paradata to Detect Speeding Across Online Panel Survey Waves; 2014; Weyandt, K., Bosnjak, M.
- Web Surveys for the General Population: How, why and when?; 2014; Nicolaas, G., Calderwood, L., Lynn, P., Roberts, C.
- Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys: Report of the AAPOR...; 2014; Link, M. W., Murphy, J., Schober, M. F., Buskirk, T. D., Childs, J. H., Tesfaye, C.
- The use of within-subject experiments for estimating measurement effects in mixed-mode surveys ; 2014; Klausch, L. T., Schouten, B., Hox, J.
- Measuring well-being: An analysis of different response scales; 2014; van Beuningen, J., van der Houwen, K., Moonen, L.
- The impact of contact effort and interviewer performance on mode-specific nonresponse and measurement...; 2014; Schouten, B., Cobben, F., van der Laan, J., Arends, J.
- Community Life Survey: Summary of web experiment findings; 2013
- The Short-term Campaign Panel of the German Longitudinal Election Study 2009. Design, Implementation...; 2013; Steinbrecher, M., Rossmann, J.
- Too Fast, Too Straight, Too Weird: Post Hoc Identification of Meaningless Data in Internet ; 2013; Leiner, D. J.
- Postal recruitment into a longitudinal online panel survey. The effects of different number of reminder...; 2013; Martinsson, J.
- The world in 2013. ICT facts and figures; 2013
- Mobile research guidelines; 2013
- Microsoft Security Intelligence Report, Volume 15; 2013