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 - Canada (110)
- A nationwide web-based freight data collection; 2013; Samimi, A., Mohammadian, A., Kawamura, K.
- Use of a Social Networking Web Site for Recruiting Canadian Youth for Medical Research; 2013; Chu, J. L., Snider, C. E.
- Survey Quality; 2012; Lyberg, L. E.
- Adaptive web sampling in ecology; 2012; Thompson, S. K.
- Respondent-driven sampling; 2012; Schonlau, M., Liebau, E.
- Reaching Under/Never Screened Populations Using an Online Survey; 2012; Filsinger, B., Gesink, D., Mihic, A., Kreiger, N.
- Evidence on the Comparison of Telephone and Internet Surveys for Respondent Recruitment.; 2012; Potoglou, D., Kanaroglou, P. S., Robinson, N.
- Firefly Online Surveys: A fully featured tool for Web surveys and forums; 2012; Deal, K.
- Transferring Telephone-Based National Household Travel Survey to the Internet ; 2012; Son, S., Khattak, A., Wang, X., Chen, J.-Y.
- Where is Neutral? Using Negativity Biases to Interpret Thermometer Scores; 2012; Soroka, S., Albaugh, Q.
- Comparability of Internet and telephone data in a survey on the respiratory health of children; 2012; Plante, C. Jacques, L., Chevalier, S., Fournier, M.
- Online and Paper-Based: A Mixed-Method Approach to Conducting a Needs Assessment Survey of Physicians...; 2012; Olatunbosun, T., Wu, C., Grewal, G., Lynn, B.
- Thinking, Planning & Operationalizing Empirical Mixed Methods Research Design; 2012; Ruhi, U.
- Designing and Doing Survey Research; 2012; Andres, L.
- Validity and reproducibility of a web-based, self-administered food frequency questionnaire; 2012; Labonte, M. - E., Cyr, A., Baril-Gravel, L., Royer, M. - M., Lamarche, B.
- Validation of an Informant-Reported Web-Based Data Collection to Assess Dementia Symptoms; 2012; Rockwood, K., Zeng, A., Leibman, C., Mucha, L., Mitnitski, A.
- Assessing the Effects of Technical Variance on the Statistical Outcomes of Web Experiments Measuring...; 2012; Brand, A., Bradley, M. T.
- The cost-effectiveness of cash versus lottery incentives for a web-based, stated-preference community...; 2012; Gajic, A., Cameron, D., Hurley, J.
- What is Probit; 2011
- Survey Data Quality Provisions in Statistics Canada E-Questionnaire Solution: Retrospective and Perspectives...; 2011; Abiza, Y.
- Developing Electronic Questionnaire Guidelines: Issues and Challenges in a Changing Environment; 2011; Cote, A.-M., Kelly, P., Lawrence, D.
- Canadian online panels: Similar or different?; 2011; Chan, P., Ambrose, D.
- How far is too far: Traditional, flash and gamification interfaces, and implications for the future...; 2011; Puleston, J., Malinoff, B.
- The Evolution of Edits in the Canadian Census of Population Online Questionnaires; 2011; Laroche, D.
- Innovations in survey sampling design: Discussion of three contributions presented at the U.S. Census...; 2011; Opsomer, J.
- Alternative survey sample designs: Sampling with multiple overlapping frames; 2011; Lohr, S. L.
- Adaptive network and spatial sampling; 2011; Thompson, S. K.
- Apples and oranges: does a web survey produce similar results to social media tracking?; 2011; Bourque, C., Hobbs, R., Hilaire, D. S.
- Preferences, intentions, and expectation violations: A large-scale experiment with a representative...; 2011; Bellemare. C., Kroeger, S., van Soest, A.
- Method of administration affects adolescent post-immunization survey response rate: phone, paper, internet...; 2011; Pielak, K. L.; Buxton, J.; McIntyrea, C.; Tu, A,; Botnick, M. R.
- e-Collection at Statistics Canada; 2011; Faid, M.
- Nonsampling errors in dual frame telephone surveys ; 2011; Brick, J. M., Flores Cervantes, I., Lee, S., Norman, G.
- Studying Political Behavior: A Comparison of Internet and Telephone Surveys; 2011; Stephenson, L. B., Crête, J.
- The feasibility of Web-based surveys as a data collection tool: a process evaluation ; 2011; Chizawsky L. L. K., Estabrooks, C. A., Sales, A. E.
- Accounting for the effects of data collection modes in population surveys; 2010; Huang, Y. C., Thompson, M. E., Boudreau, C., Fong, G. T.
- From Buzz to Biz: Social Media Research for Results; 2010; Pettit, F. A.
- The Rise of Survey Programming Automation as an Alternative to Outsourcing; 2010; Ahmed, A. S., Guyer, L.
- Sexy Questions, Dangerous Results? - Exploring the Impact of Rich Media Question Formats in Online Survey...; 2010; Malinoff, B.
- Statistics Canada's Process Automation of On-line Survey Development and CATI Data Integration; 2010; Dubois, M.-A.
- System and method of providing an online survey and summarizing survey response data; 2010; Ryan, C. J.
- Statistical foundations of cell-phone surveys; 2010; Wolter, K., Smith, P., Blumberg, S. J.
- The effect of cash lottery on response rates to an online health survey among members of the Canadian...; 2010; Doerfling, P., Kopec, J., Liang, M. H., Esdaile, J. M.
- Reliability and Validity of an Internet-based Questionnaire Measuring Lifetime Physical Activity; 2010; De Vera, M. A., Ratzlaff, C., Doerfling, P., Kopec, J.
- Can we make official statistics with self-selection web surveys?; 2009; Bethlehem, J.
- 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.
- In Search of Readers: A Brave New World For Researches; 2009; Crassweller, A., Rogers, J., Williams, D.
- Best practices in mobile research; 2009; Zahariev, M., Ferneyhough, C., Ryan, C.
- Internet-based surveys and urban design education: A community outreach graduate project in Redding,...; 2009; del Rio, V., Levi, D.
- Lottery Style Incentives and Response Rates to Online Surveys; 2009; Pearson, J., E., Krosnick, J. A.Levine, R. E.
- Recruiting Probability-Based Web Panel Members Using an Address-Based Sample Frame: Results from a Pilot...; 2009; DiSogra, C., Callegaro, M., Hendarwan, E.
