Web Survey Bibliography
During survey interviews, respondents sometimes interpret question concepts differently than they are intended. For example, a respondent who is asked ―How many people live in your home?‖ may include a child living away at college even though the survey designers‘ concept excludes household members whose primary residence is elsewhere. Some survey respondents seem to be aware of such conceptual misalignments and seek clarification when it is available, but others do not, even when they need it, and instead answer confidently and (for survey purposes) incorrectly. What distinguishes respondents who seek clarification from those who do not? This study demonstrates that cognitive and personality factors seem to predict clarification-seeking in a web survey where respondents could click for definitions of key question concepts. In a laboratory experiment, 60 respondents answered behavioral questions on the basis of fictional scenarios, some of which were designed to create potential comprehension difficulty, and for which response accuracy was measurable. Respondents also completed the Symbol Search and Digit Symbol Coding subtests of the Wechsler Adult Intelligence Scale and the Dickman Impulsivity Index (DII, 1990). Results showed that respondents with faster processing scores requested clarification more often and produced more accurate answers; they also took longer to answer (despite their faster processing), presumably because they were more thoughtful. Respondents who scored high on dysfunctional impulsivity requested definitions less frequently, answered less accurately, and answered more quickly. Symbol Search and dysfunctional impulsivity were strong predictors of frequency of requesting clarification, while all three measures strongly predicted response accuracy. Because the DII and Symbol Search measures could potentially be adapted for on-line administration, one can imagine new web interviewing systems that improve response accuracy by diagnosing which respondents are unlikely to request clarification when they need it, and giving them clarification when it is needed but not requested.
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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.