Web Survey Bibliography
Online panels are becoming the standard choice for researchers today. The temptation to use them is overwhelming as they are a less expensive alternative to traditional telephone and face-to-face research and the results are available sooner. Are they the right choice for all research projects? There is no question that considerable effort is being devoted to building better panels. Commonly, however, the “virtues” of panels are demonstrated not by their intrinsic measurement superiority but by their speed and low cost vis à vis other sampling and data collection modes and/or by deficiencies in other types of surveys (e.g., falling response rates in telephone studies because of consumer avoidance techniques and new technologies masking geography etc as well as the growth in cell-only households). Conversely, online panel research limitations are often overlooked (convenience samples, coverage bias etc.) in favour of cost and timing attributes. As broadband Internet access increases, coverage error and potential bias for online surveys will likely decrease but not eliminated. Market research practitioners and users have long recognized that focus groups or shopping mall intercepts are not suitable tools for answering some types of questions. The same applies to online panels. They have their place in the toolbox but purveyors and users are engaged in an ongoing discussion about which types of questions they are best able to answer. Can they replace studies based on a random sample of respondents within a defined universe in which the probability of selection is known? There remains considerable support for the position that when quantitative estimates such as market shares are required, they should be derived from studies that rely on random probability sampling rather than online panels (Chakrapani,2007) Nonetheless, like other services, newspapers are under increasing pressure to be “with it” (a.k.a. be on the web), to reduce data collection costs (a.k.a. be on the web), and to increase reporting ease and speed (a.k.a. be on the web). Since 1986 newspapers in Canada have relied on traditional telephone data capture techniques to estimate readership of daily papers in major markets, to build profiles of readers and to set market parameters and pricing for advertising. Millions of dollars of advertising revenue depend on readership and profile estimates of how many and who reads specific daily newspapers. How are print media and advertising mavens going to determine when or if to move to online panels? As Canada’s newspaper audience measurement agency, the Newspaper Audience Databank Inc. (NADbank) has been monitoring developments in online panel research for some time. In 2006 the organization embarked on a journey to determine if its annual study could be moved from a modified RDD telephone methodology to a web-based survey. The results of this parallel online survey using the TNS Canadian Facts’ web-access panel in Toronto were reported to this symposium in 2007. The results from the first study showed that the demographic profiles of respondents in the online panel differed from the population as a whole and the telephone sample. As well as demographic differences, there were variations in general media behaviour as well as the primary metric being investigated: readership of daily newspapers. As only one online panel was included in the test, there was no way to assess the extent to which profile differences were a function of idiosyncrasies of the single panel and/or were linked to online panel data capture per se. In the fall of 2007 a second, larger scale study was undertaken to further explore the differences between telephone and online protocols; inter-supplier consistency and the potential use of a web-based survey outside of the Toronto market.
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Web Survey Bibliography - 2009 (626)
- Where Is the unproctored Internet testing train headed now?; 2009; Tippins, N. T.
- Statistical disclosure control for survey data; 2009; Skinner, C.
- Sampling of populations: methods and applications, 4th Edition; 2009; Levy, P. S., Lemeshow, S.
- Response format effects on measurement of employment; 2009; Thomas, R. K., Dillman, D. A., Smyth, J. D.
- Recovering the scientist-practitioner model: How IOs should respond to unproctored internet testing; 2009; Beaty, J. C. et al.
- Preserving the integrity of online testing; 2009; Burke, E.
- Mobile surveys from a technological perspective; 2009; Pferdekämper, T., Batanic, B.
- MarketTools TrueSample; 2009
- ISO 26362 Access panels in market, opinion, and social research-Vocabulary and service requirements; 2009
- Introduction to meta-analysis; 2009; Borenstein, M. et al.
- Internet alternatives to traditional proctored testing: Where are we now?; 2009; Tippins, N. T.
- Global market research 2009; 2009
- Getting data for (business) statistics: What's new? What's next?; 2009; Snijkers, G.
- From the Editor; 2009; Sackett, P. R.
- Exploring mode effects in a panel survey of new businesses; 2009; Santos, B., DesRoches, D.
- Dirty little secrets of online panels. And how the one you select can make or break your study; 2009
- comScore Media Metrix U.S. Methodlogy. An ARF research review; 2009; Cook, W. A., Pettit, R.
- Computing weights for the American National Election Study survey data; 2009; Debell, M., Krosnick, J. A.
- Cheating on proctored tests: The other side of the unproctored debate; 2009; Drasgow, F., Nye, C. D., Guo, J., Tay, L.
- Can we make official statistics with self-selection web surveys?; 2009; Bethlehem, J.
- Attitudes over time: The psychology of panel conditioning; 2009; Sturgis, P., Allum, N., Brunton-Smith, I.
- Association collaborative effort releases online research definitions, expands membership; 2009
- The Effect of Phrasing Scale Items in Low-Brow or High-Brow Language on Responses; 2009; Blasius, J., Friedrichs, J.
- Question and Questionnaire Design; 2009; Krosnick, J. A., Presser, S.
- Attrition in Consumer Panels; 2009; Tortora, R. D.
- Sample Design for Understanding Society ; 2009; Lynn, P.
- The 2008 Confirmit Annual Market Research Software Survey; 2009; Macer, T.; Wilson, Sheila
- Predicting Tie Strength With Social Media; 2009; Gilbert, E., Karahalios, K.
- A Special Report from the Advertising Research Foundation - The Foundations of Quality Initiative: A...; 2009; Walker, R., Pettit, R., Rubinson, J.
- Social Network Services as Data Sources and Platforms for e-Researching Social Networks; 2009; Ackland, R.
- A Web-Based Tool for Assessing and Improving the Usefulness of Community Health Assessments; 2009; Stoto, M. A., Straus, S. G., Bohn, C., Irani, P.
- The rise of survey sampling; 2009; Bethlehem, J.
- Using an ABS frame to recruit a probability-based online panel; 2009; DiSogra, C.
- Address Based Sampling: How to Do It, Practical Tips; 2009; Dutwin, D.
- Use of Incentives in Survey Research; 2009; Lavrakas, P. J.
- Stochastic properties of the Internet sample; 2009; Getka-Wilczynska, E.
- Continuous Measurement of Musically-Induced Emotion: A Web Experiment ; 2009; Egermann, H., Nagel, F., Altenmueller, E., Kopiez, R.
- Piloting Data Collection via Cell Phones: Results, Experiences, and Lessons Learned; 2009; ZuWallack, R. S.
- E-epidemiology : Adapting epidemiological methods for the 21st century; 2009; Bexelius, C.
- Survey results as incentives in online panels. Unpublished manuscript; 2009; Goeritz, A.
- Computing response metrics for online panels; 2009; Callegaro, M., DiSogra, C.
- Web based survey: an emerging tool; 2009; Srivenkataramana, T., Saisree, M.
- The Use of Online Methodologies in Data Collection for Gambling and Gaming Addictions; 2009; Griffiths, M. D.
- Designing and Implementing a Career Retrospective Web-based Survey of Library and Information Science...; 2009; Morgan, J. C., Marshall, J. G., Marshall, V., Thompson, C.
- Metadata-Driven Survey Design; 2009; Iverson, J.
- Questasy: Online Survey Data Dissemination Using DDI 3; 2009; de Bruijne, M., Amin, A.
- Methodeneffekte von Web-Befragungen: Soziale Erwünschtheit vs. Soziale Entkontextualisierung; 2009; Taddicken, M.
- Response Mode and Bias Analysis in the IRS’ Individual Taxpayer Burden Survey; 2009; Brick, J. M., Contos, G.,Masken, K.,Nord, R.
- Survey Mode Effects in Two Military Surveys; 2009; Yang, M., Falcone, A. E., Milan, L. M.
- Online Print Publications And The Viabiity Of Charging For On Line Content ; 2009; Vogel, J., Lee-LeGassick, K., Shullman, B., D’Amico, T.
