Web Survey Bibliography
Respondent-generated intervals (“RGI”), a question item protocol promoted by statisticians Press and Tanur, promises to have a positive impact on survey data quality, both by reducing item nonresponse and by improving the accuracy of estimation.
In this experiment, we put this method (RGI) to test with a sample of electronics engineers each reporting on a unique integrated circuit (chip) design developed in 2002.
The treatment version of the questionnaire (a self-administered web survey) encourages respondents to provide a self-generated interval if they are unsure of the number for the physical quantity requested (e.g., number of transistors on the chip, number of bytes of embedded memory, etc.). Respondents in the control group receive no such encouragement and are just asked to provide the relevant number.
1) This experiment seeks to answer a question: Does the suggestion to provide an RGI reduce item nonresponse?
2) The second objective of this experiment is to contribute to the discussion of whether RGIs can provide more accurate estimates than are obtained by merely asking respondents for one number. Research has shown that when asked for a number whose exact value is unknown, people resort to an “anchoring-and-adjustment heuristic” which often results in biased values. The bias is due to the original anchor value, which acts as a tether preventing sufficient adjustment. Because RGIs promote the reporting of at least two values, this very process might well break the “pull” which the original anchor value has on a respondent’s ability to provide an unbiased estimate.
The purpose of this research is to elicit questions dealing with ways to help respondents reporting factual data to provide unbiased estimates of target quantities. The biases we are talking about here are cognitive in nature and not emotional (e.g., social desirability).
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Web survey bibliography - Canada (100)
- Thinking, Planning & Operationalizing Empirical Mixed Methods Research Design; 2012; Ruhi, U.
- Designing and Doing Survey Research; 2012; Andres, L.
- 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.
- 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.
- Nonsampling errors in dual frame telephone surveys ; 2011; Brick, J. M., Flores Cervantes, I., Lee, S., Norman, G.
- 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.
- Statistical foundations of cell-phone surveys; 2010; Wolter, K., Smith, P., Blumberg, S. J.
- Methods for oversampling rare subpopulations in social surveys; 2009; Kalton, G.
- Can we make official statistics with self-selection web surveys?; 2009; Bethlehem, J.
- 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.
- Recruiting Probability-Based Web Panel Members Using an Address-Based Sample Frame: Results from a Pilot...; 2009; DiSogra, C., Callegaro, M., Hendarwan, E.
- Can a moral reasoning exercise improve response quality to surveys of healthcare priorities?; 2009; Johri, M.
- The Multi-Modal Future of Mobile Research: A Holistic Viewpoint; 2009; Cameron, M. R.
- Design Variations in Adaptive Web Sampling; 2008; Vincent, K. S.
- Effects of Pre-coding Response Options for Five Point Satisfaction Scale in Web Surveys; 2008; Callegaro, M., Wells, T., Kruse, Y.
- Enhancing the Travel Survey Process and Data Using the CATI System ; 2008; Morency, C.
- Between random samples and online panels; 2008; Crassweller, A., Rogers, J.
- Use of a website to evaluate quality of work-life and quality of life among community workers helping...; 2008; Dupuis, G.
- 2006 Canadian Census Internet Mode Effect Study; 2008; Grondin, C., Sun, L.,
- Web survey and representativeness: Close to three in ten Canadians do not have access to the Internet...; 2007; Bourque, C., Lafrance, S.
- ONLINE DATA COLLECTION – SOLUTION OR BAND-AID?; 2007; Crassweller, A., Williams, D., Thompson, I.
- An Approach to Compare Online Survey Generating Tools; 2007; Zhang, J., Zhao, N.
- Internet and written respiratory questionnaires yield equivalent results for adolescents; 2007; Raat, H., Mangunkusumo, R. T., Mohangoo, A. D., Juniper, E. F., Van Der Lei, J.
- A short introduction to usability in online surveys; 2006; Kaczmirek, L.
- Understanding the question-answer process; 2004; Bradburn, N. M.
- Achieving high response rates on web-based surveys of post-secondary students; 2003; Nichols, L. B., Ghadialy, R.
- Design implementation of a Multimode Web Survey; 2003; Wine, S. J., Cominole, M. B., Carwile, D. S., Perry, K.
- Partnering with a Newspaper to Assess Community Opinion Online; 2003; Downs, E. P., Lindley, A. M.
- Implementing a Web Survey Administration System at the GAO; 2003; Feldesman, A. G.
- Using Internet-Based Surveys With Physicians, What Works and What Doesn't Work; 2003; Schneiderman, M., Thran, S., Adams, C., Lerner, B.
- Using RGI (Respondent Generated Interval) to gather factual information in a web survey; 2003; Lusinchi, D.
- Can What We Don’t Know (about “Don’t Know”) Hurt Us?: Effects of Item Non-response...; 2003; Krosnick, J. A., Behnke, C. S., Lafond, C. R., Thomas, R. K.
- Visual Analog Scales: Do they have a role in the measurement of preferences for health states?; 2001; Torrance, G. W., Feeny, D., Furlong, W.
- Panel Bias from Attrition and Conditioning: A Case Study of the Knowledge Networks Panel; 2001; Clinton, J. D.
- Complementary and alternative medicine use by patients with inflammatory bowel disease: An Internet...; 1999; Meddings, J. B., Hilsden, R. J., Verhoef, M. J.
- World-Wide Web survey research made easy with WWW Survey Assistant; 1997; Schmidt, W. C.