Web Survey Bibliography
The use of administrative or register data as a sampling frame for surveys is a common practice in the worlds of both official and non-official statistics. The rise of mixed mode surveys has raised the question of how information from registers can be used optimally to determine what would be the best survey mode or the best combination of options for different groups. Personal characteristics available beforehand can be used to make fairly accurate response estimations for different modes for each group. If, as is the case in some common survey designs, telephone interviews are used as a ‘last resort’ after approach by post and/or email has failed to yield a response, one needs to estimate in advance for what proportion of a given group a correct postal address, e-mail address and telephone number will be available, not just what the willingness to respond will be among those who can be reached.
Notwithstanding the recent debate about the possible negative effect on response rates offering a choice could have in some cases, on the whole, clever mixed mode designs certainly do optimize response rates. However, exactly what constitutes the best mode mix varies from survey to survey and within a survey from group to group. Moreover, what may have been the best mix three years ago may be no longer the best mix now. In most Western societies, the proportion of the general population for which a telephone number can be found in a publicly available telephone register is steadily decreasing (in the Netherlands, by a few percentage points each year). Internet coverage is still expanding, but now the novelty of web surveys has seen some respondents rather return to paper. E-mail addresses are hard to come by and notoriously volatile. Finally, population characteristics sometimes change quite rapidly in some areas or some sectors. Survey experts often have good reasons for opposing unnecessary changes; however, in survey design, stagnation nowadays soon means decline.
Statistics Canada Homepage (abstract)
Web survey bibliography - 2010 (251)
- Running experiments on Amazon Mechanical Turk; 2010; Paolacci, G., Chandler, J., Ipeirotis, P. G.
- Making Good Use of Survey Paradata; 2010; Lynn, P., Nicolaas, G.
- Questionnaire Length, Fatigue Effects and Response Quality Revisited; 2010; Cape, P. J.
- Preventing Satisficing in Online Surveys: A “Kapcha” to Ensure Higher Quality Data...; 2010; Chandler, D., Kapelner, A.
- Game on; 2010; Ewing, T.
- Respondent Engagement: How Much Does it Matter?; 2010
- The Internet and Social Inequalities; 2010; Mannon, S.E.; Witte, J. C.
- Need to Improve Routine HIV Testing of U.S. Veterans in Care: Results of an Internet Survey; 2010; Valdiserri, R. O., Nazi, K., McInnes, D. K., Ross, D., Kinsinger, L.
- The Prevalence of Chronic Pain in United States Adults: Results of an Internet-Based Survey; 2010; Johannes, C. B., Le, T. K., Zhou, X., Johnston, J. A., Dworkin, R. H.
- Response Rates in Organizational Science, 1995–2008: A Meta-analytic Review and Guidelines for...; 2010; Anseel, F., Lievens, F., Schollaert, E., Choragwicka, B.
- Marketing Research: Methodological Foundations; 2010; Iacobucci, D., Churchill, G.A. Jr.
- Computer Assisted Interview Testing Tool (CTT) - a review of new features and how the tool has improved...; 2010; Stark, R., Gatward, R.
- Address-based Sampling Nets Success for KnowledgePanel® Recruitment and Sample Representation; 2010; DiSogra, C.
- A method of automated nonparametric content analysis for social science; 2010; Hopkins, D. J., King, G.
- Developing a web explicit research strategy theory in African universities: a cross-comparison of specific...; 2010; Kirigha, K. A., Neema-A.
- The use of paradata to monitor and manage survey data collection; 2010; Kreuter, F., Couper, M. P., Lyberg, L. E.
- Mitigating Online Survey Nonresponse Error In Aviation Research; 2010; Ison, D. C.
- Optimizing response rates in online surveys; 2010; Kaczmirek, L.
- The Decision Maker's Guide to Online Research; 2010
- Mixed-Method Approaches to Social Network Analysis; 2010; Edwards, G.
- Measuring Intent to Participate and Participation in the 2010 Census and Their Correlates and Trends...; 2010; Pasek, J., Krosnick, J. A.
- Nonresponse and Measurement Error in Mobile Phone Surveys ; 2010; Kennedy, C.
- Wordle; 2010; Feinberg, J.
- What it takes to be a top 100 website; 2010
- Total Survey Error: past, present, and future; 2010; Groves, R. M., Lyberg, L. E.
- There is an app for that! A review of smartphone apps for marketing research; 2010; Michelson, M.
- The who, what, and where of America: Understanding the American Community Survey; 2010; Gaquin, D. A.
- The weirdest people in the world?; 2010; Heine, S. J., Henrich, J., Norenzayan, A.
- The state of online research in the U.S.; 2010; Miller, J.
- The psychology or survey response. An ASA webinar; 2010; Tourangeau, R.
- The psychology of survey response, 2nd Edition; 2010; Tourangeau, R., Bradburn, N. M.
- The multidimensional integral business survey response model; 2010; Bavdaz, M.
- The impact of next and back buttons on time to complete and measurement reliability in computer-based...; 2010; Hays, R. D., Bode, R., Rothrock, N., Riley, W., Cella, D., Gershon, R.
- The Gallup Poll: Public opinion 2009; 2010; Gallup, A. M.
- Surveying cultures: Discovering shared conceptions and sentiments; 2010; Heise, D. R.
- Site-intercpet survey best practices; 2010; Henning, J.
- Sampling: design and analysis, 2nd Edition; 2010; Lohr, S. L.
- Research synthesis. AAPOR report on online panels; 2010; Brick, J. M., Baker, R., Blumberg, S. J., Couper, M. P., Courtright, M., Dennis, J. M., Dillman, D....
- Recruiting probability samples for a multi-mode research panel with Internet and mail components; 2010; Rao, K.
- Real ID. State of The Art Representative and Repeatable Online Samples. Behaviorally Profiled Respondents...; 2010; Gittelman, S. H., Trimarchi, E.
- Randomized response and indirect questioning techniques in surveys; 2010; Chaudhuri, A.
- Protecting and accessing data from the survey of earned doctorates: A workshop summary; 2010; Plewes, T. J.
- Paradata: a new data source from web-administered measures; 2010; Sowan, A. K., Jenkins, L. S.
- Overview of data collection methodology; 2010
- On-the-go and in-the-moment. Mobile research offers speed, immediacy; 2010; Pferdekamper, T.
- Mixed-mode surveys; 2010; Dillman, D. A., Messer, B. L.
- Measuring the group quarters population in the American Community Survey: Interim report; 2010; Marton, K., Voss, P. R.
- Measures of interobserver agreement and reliability; 2010; Shoukri, M. M.
- Machines that lean how to code open ended survey data; 2010; Esuli, A., Sebastiani, F.
- Libraries nationwide receiving ALA-APA Library Salary Survey Invitation; 2010; Grady, J.