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 (100)
- Telephone versus Online Survey Modes for Election Studies: Comparing Canadian Public Opinion and Vote...; 2017; Breton, C.; Cutler, F.; Lachance, S.; Mierke-Zatwarnicki, A.
- The 2016 Canadian Census: An Innovative Wave Collection Methodology to Maximize Self-Response and Internet...; 2017; Mathieu, P.
- Gathering Opinions on Depression Information Needs and Preferences: Samples and Opinions in Clinic Versus...; 2017; Bernstein, M. T.; Walker, J. R.; Sexton, K. A.; Katz, A.; Beatie, B. E.
- A test of sample matching using a pseudo-web sample; 2017; Chatrchi, G., Gambino, J.
- Integration of a phone-based household travel survey and a web-based student travel survey; 2016; Verreault, H.; Morency, C.
- A streamlined approach to online linguistic surveys; 2016; Erlewine, M. Y.; Kotek, H.
- Population Survey Features and Response Rates: A Randomized Experiment; 2016; Guo, Y.; Kopec, J.; Cibere, J.; Li, L. C.; Goldsmith, C. H.
- Mode Effects in Electoral Polls: A Comparative Perspective ; 2016; Durand, C.
- Pitfalls, Potentials, and Ethics of Online Survey Research: LGBTQ and Other Marginalized and Hard-to...; 2016; McInroy, L. B.
- Mail merge can be used to create personalized questionnaires in complex surveys. ; 2016; Taljaard, M.; Chaudhry, S. H.; Brehaut, J. C.; Weijer, C.; Grimshaw, J. M.
- Internet-administered Health-related Quality of Life Questionnaires Compared With Pen and Paper in an...; 2016; Nitikman, M.; Mulpuri, K.; Reilly, C. W.
- What do web survey panel respondents answer when asked “Do you have any other comment?”; 2015; Schonlau, M.
- Explorations in Non - Probability Sampling Using the Web; 2015; Brick, J. M.
- On Bias Adjustments for Web Surveys; 2015; Fan, L.; Lou, W.; Landsman, V.
- Web panel surveys – a challenge for official statistics; 2015; Svensson, J.
- Estimation with Non-probability Surveys and the Question of External Validity; 2015; Dever, J. A.; Valliant, R. L.
- Measurement Properties of Web Surveys; 2015; Tourangeau, R.
- Using Web Panels for Official Statistics; 2014; Bethlehem, J.
- Do Web surveys facilitate reporting less favourable opinions about law enforcement?; 2014; Boivin, R., Cordeau, G.
- Evaluating a Web-based health risk assessment with tailored feedback: What does an expert focus group...; 2014; Vosbergen, S., Mahieu, G. R. Laan, E. K., Kraaijenhagen, R. A., Jaspers, M. W. M., Peek, N.
- Considerations for Conducting Web-Based Survey Research With People Living With Human Immunodeficiency...; 2014; O'Brien, K. K., Solomon, P., Worthington, C., Ibánieez-Carrasco, F., Baxter, L., Nixon, S. A., Baltzer...
- African-American breast cancer survivors’ preferences for various types of physical activity interventions...; 2014; Paxton, R., Nayak, P., Taylor, W., Chang, S., Courneya, K., Schover, L., Hodges, K., Jones, L.
- Measuring Mobile Phone Use: Self-Report Versus Log Data; 2013; Boase, J., Ling, R.
- Does the first impression count? Examining the effect of the welcome screen design on the response rate...; 2013; Haer, R., Meidert, N.
- Recruitment of Sex Buyers: A Comparison of the Efficacy of Conventional and Computer Network-Based Approaches...; 2013; Kolar, K., Atchison, C.
- Effects of Gamification on Participation and Data Quality in a Real-World Market Research Domain ; 2013; Cechanowicz, J., Gutwin, C., Brownell, B., Goodfellow, L.
- The Impact of News Photos on Support for Military Action; 2013; Soroka, S.; Loewen, P.; Fournier, P.; Rubenson, D.
- Identifying the real differences of opinion in social media sentiment; 2013; Pettit, A.
- Co-creation with TickiT: Designing and evaluating a clinical eHealth platform for youth; 2013; Whitehouse, S. R.
- Foster strengths and circumvent weaknesses: Advantages and disadvantages of online versus face-to-face...; 2013; Qiu, M., McDougall, D.
- 4 ways mobile research challenges insights pros; 2013; Rajan, B.
- Thoughts on using the new online qualitative tools; 2013; Freund, N. M.
- Optimizing quality of response through adaptive survey designs; 2013; Schouten, B., Calinescu, M., Luiten, A.
- Customer loyalty to a commercial website: Descriptive meta-analysis of the empirical literature and...; 2013; Toufaily, E., Ricard, L., Perrien, J.
- Discovering interest groups for marketing in virtual communities: An integrated approach; 2013; Wang, K.-Y., Wu, H.-J., Ting, I.-H.
- Multimode, Global Scale Usage: Understanding respondent scale usage across borders and devices; 2013; Pettit, F. A., Courtright, M.
- Insights into Action Profiling shopping occasions for retailers through mobile and online research; 2013; Churkina, O., Morris, T.
- Recent Experiences with Electronic Questionnaire Testing at Statistics Canada ; 2013; Lawrence, D.
- 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.
- P02.04. Internet survey confirms strong interest in Yoga among fibromyalgia patients; 2012; Carson, J., Bennett, R., Jones, K., Mist, S.
- Approaches to empiric ablation of slow pathway: results from the Canadian EP web survey; 2012; Laish-Farkash, A., Shurrab, M., Tiong, I., Verma, A., Amit, G., Kiss, A., Morriello, F., Singh, S.,...
- Biting the Hand and Bending the Rules: An IJMR Presentation; 2012; Pettit, A.
- Mixed Mode: Phone and Web Discussion on Efficient Strategies; 2012; Gagnon, M.
- Survey Quality; 2012; Lyberg, L. E.
- Adaptive web sampling in ecology; 2012; Thompson, S. K.
- Respondent-driven sampling; 2012; Schonlau, M., Liebau, E.
- Firefly Online Surveys: A fully featured tool for Web surveys and forums; 2012; Deal, K.
- Where is Neutral? Using Negativity Biases to Interpret Thermometer Scores; 2012; Soroka, S., Albaugh, Q.
- 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.