Web Survey Bibliography
Although comprehension is critical to the survey response process, much about it remains unknown. Research has shown that concepts can be clarified through the use of definitions, instructions or examples, but respondents do not necessarily attend to these clarifications. This dissertation presents the results of three experiments designed to investigate where and how to present clarifying information most effectively. In the first experiment, eight study questions, modeled after questions in major federal surveys, were administered as part of a Web survey. The results suggest that clarification improves comprehension of the questions. There is some evidence from that initial experiment that respondents anticipate the end of a question and are more likely to ignore clarification that comes after the question than before it. However, there is considerable evidence to suggest that clarifications are most effective when they are incorporated into a series of questions. A second experiment was conducted in both a Web and Interactive Voice Response (IVR) survey. IVR was chosen because it controlled for the effects of interviewers. The results of this experiment suggest that readers appear no more capable of comprehending complex clarification than listeners. In both channels, instructions were least likely to be followed when they were presented after the question, more likely to be followed when they were placed before the question, and most likely to be followed when they were incorporated into a series of questions. Finally, in a third experiment, five variables were varied to examine the use of examples in survey questions. Broad categories elicited higher reports than narrow categories and frequently consumed examples elicited higher reports than infrequently consumed examples. The implication of this final study is that the choice of categories and examples require careful consideration, as this choice will influence respondents' answers, but it does not seem to matter where and how a short list of examples are presented.
University of Maryland (abstract) / (full text)
Web survey bibliography - 2011 (358)
- The Validity of Surveys: Online and Offline; 2016; Wiersma, W.
- Computer science security research and human subjects: Emerging considerations for research ethics boards...; 2013; Buchanan, E. A., Aycock, J., Dexter, S., Dittrich, D., Hvizdak, E. E.
- Multiple Sources of Nonobservation Error in Telephone Surveys: Coverage and Nonresponse; 2011; Peytchev, A.; Carley-Baxter, L. R.; Black, M. C.
- Online Questionnaires for Outbreak Investigations; 2011; Parry, A. E.; Johnson, D. R.; Byron-Gray, K.; Raupach, J. C. A.; McPherson, M.
- Inventory of published research: Response burden measurement and reduction in official business statistics...; 2011; Giesen, D. & Snijkers, G. (Eds.), Bavdaz, M., Bergstrom, Y., Gravem, D. F., Haraldsen, G., Hedlin, D...
- Effects of speeding on satisficing in Mixed-Mode Surveys; 2011; Bathelt, S., Bauknecht, J.
- Using Research-Based Practices to Increase Response Rates of Web-Based Surveys; 2011; Perkins, R. A.
- Using break-offs in web interviews for predicting web response in mixed mode surveys; 2011; Beukenhorst, D.
- Web panels in Slovenia; 2011; Lenar, J.
- Traditional and non-traditional treatments for autism spectrum disorder with seizures: an on-line survey...; 2011; Frye, R. E., Sreenivasula, S., Adams, J. B.
- Understanding the new digital divide—A typology of Internet users in Europe; 2011; Brandtzæg, P.B.; Heim, J.; Karahasanoviæ, A.
- Patients’ attitudes toward side effects of antidepressants: an Internet survey; 2011; Kikuchi, T., Uchida, H., Suzuki, T., Watanabe, K., Kashima, H.
- Web-based or paper-based surveys: a quandary?; 2011; Bennett, L., Sid Nair, C.
- Refining the Total Survey Error Perspective; 2011; Smith, T. W.
- ELIPSS: Étude Longitudinale par Internet Pour les Sciences Sociales; 2011; Legleye, S., Lesnard, L.
- Less questions, more data: Revitalizing the european currency in single source affluent audience measurement...; 2011; Hartman, H.
- Linking website exposure data to survey data: A single-source solution; 2011; Krahn, J., Landi, J., Melton, E.
- Inference in surveys with sequential mixed-mode data collection; 2011; Buelens, B., van der Brakel, J.
- Using a Probability-based Online Panel to Survey American Jews; 2011; Wright, G., Phillips, B. T., Tobias, J., Peugh, J., Semans, K.
- Choice of Content Presentation Mode in Web-Based Survey Administration; 2011; Osborn, L., Mansfield, W., Ramirez, C. M., Lacey, J. N., etc.
- Seasonal Yield Variation and Related Response Patterns in Address-based Mail Samples; 2011; DiSogra, C., Hendarwan, E.
- Gender-specific on-line shopping preferences; 2011; Ulbrich, F., Christensen, T., Stankus, L.
- Mixing modes in the LFS - Computer-assisted, cost effective and respondent friendly; 2011; Koerner, T., van der Valk, J.
- Peanuts and Monkeys: Incentivisation and engagement in online access panels; 2011; Marks, B.
- Establishing Cross-National Equivalence of Measures of Xenophobia: Evidence from Probing in Web Surveys...; 2011; Braun, M., Behr, D., Kaczmirek, L.
- Methodological challenges in the use of the Internet for scientific research: Ten solutions and recommendations...; 2011; Reips, U.-D., Buchanan, T., Krantz, J. H., McGrawn, K.Reips, U.-D.
- Search and email still top the list of most popular online activities; 2011; Purcell, K.
- Using Internet in Stated Preference Surveys: A Review and Comparison of Survey Modes; 2011; Lindhjem, H., Navrud, S.
- On the experience and evidence about mixing modes of data collection in large-scale surveys where the...; 2011; Dex, S., Gumy, J.
- Survey Gamification: Old Wine in New Bottles?; 2011; Baker, R. P.
- The Game Experiments: Researching how gaming techniques can be used to improve the quality of feedback...; 2011; Sleep, D., Puleston, J.
- Statistical Estimation of Word Acquisition With Application to Readability Prediction; 2011; Kidwell, P., Lebanon, G., Collins-Thompson, K.
- What is Probit; 2011
- Voice-of-the-customer marketing: A revolutionary 5-step process to create customers who care, spend,...; 2011; Roman, E.
- User agent; 2011
- Unpublisihed internal Google report on break off rates by device type; 2011; Callegaro, M.
- Toward wiser public judgment; 2011; Yankelovich, D., Friedman, W.
- The impact of cookie deletion on site-server and ad-server metrics in Australia. An empirical comScore...; 2011
- The changing role of address-based sampling in survey research; 2011; Iannacchione, V. G.
- State of mobile measurement; 2011; Gluck, M.
- Some issues in the application of latent class models for questionnaire design; 2011; Biemer, P. P., Berzofsky, M.
- Self-administered mobile surveys; 2011; Bosnjak, M.
- SDSC Announces scalable, high-performance data storage cloud; 2011
- Ratings and audience measurement; 2011; Napoli, P. M.
- Randomized response models in survey sampling. Randomized response models; 2011; Hussain, Z.
- Online survey research: Findings, best practices, and future research. Report prepared for the Advertising...; 2011; Vannette, D.
- Online survey research: Findings, Best practices, and future research; 2011
- New Esomar survey on use of cookies and tracking technologies; 2011
- Mobile, webmail, desktops: Where are we viewing email now?; 2011
- Measuring americans' issue priorities. A new version of the most important problem question reveals...; 2011; Yeager, D. S., Larson, S. B., Krosnick, J. A., Tompson, T.