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 (4086)
- Comparing Numeric and Text Open-End Responses in Mail and Web Surveys.; 2011; Olson, K., Smyth, J.
- Effects of Response Formats when Measuring Attitudes in Consumer Web Surveys Across Markets.; 2011; Couper, M. P., Nunge, E.
- Re-Examining the Validity of Different Survey Modes for Measuring Public Opinion in the U.S.: Findings...; 2011; Ansolabehere, S., Fraga, B., Schaffner, B. F.
- How to Survey All 14 000 Swedish Local Political Representatives And Get 10 000 Responses.; 2011; Gilljam, M., Granberg, D., Holm, B., Persson, M.
- Measuring User Satisfaction in the Lab: Questionnaire Mode, Physical Location, and Social Presence Concerns...; 2011; Jans, M., Romano, J. C., Ashenfelter, K. T., Krosnick, J. A.
- Interactive interventions in web surveys can increase response accuracy.; 2011; Conrad, F. G.
- Impact on Data Quality of Making Incentives Salient in Web Survey Invitations.; 2011; Zhang, Che.
- Effects of Mode and Incentives on Response Rates, Costs, and Response Quality in a Mixed Mode Survey...; 2011; Stevenson, J., Dykema, J., Kniss, C., Black, P., Moberg, P.
- Effects of Differential Incentives on Response Rates in Four Countries for a Web-based Follow Up Survey...; 2011; McSpurren, K.
- Completing Web Surveys on Cell-enabled iPads.; 2011; Dayton, J., Driscoll, H.
- The Social Aspect of the Digital Divide; 2011; Johnson, E. P.
- Which Technologies Do Respondents Use in Online Surveys – An International Comparison?; 2011; Kaczmirek, L., Behr, D., Bandilla, W.
- Matrix Questionnaire Design to Reduce Measurement Error; 2011; Peytchev, A., Peytcheva, E.
- Race-of-Virtual-Interviewer Effects; 2011; Conrad, F. G., Schober, M. F., Nielsen, D.
- Which Web Survey Respondents Are Most Likely to Click for Clarification?; 2011; Coiner, T., Schober, M. F., Conrad, F. G.
- Providing Clarifying Instructions in a Web Survey; 2011; Redline, C. D.
- Does social desirability compromise self-reports of physical activity in web-based research?; 2011; Crutzen, R., Goeritz, A.
- Use of new technologies in social research: Self-administered mobile surveys; 2011; Bosnjak, M.
- An Alternative to the Response Rate for Measuring a Survey's Realization of the Target Population; 2011; Skalland, B.
- Should I Stay or Should I go: The Effects of Progress Feedback, Promised Task Duration, and Length of...; 2011; Yan, T., Conrad, F. G., Tourangeau, R., Couper, M. P.
- Internet-Based Follow-Up Questionnaire for Measuring Patient-Reported Outcome after Total Hip Replacement...; 2011; Rolfson, O., Salomonsson, R., Garellick, G., Dahlberg, L. E.
- Nonresponse in Web Surveys ; 2011; Lozar Manfreda, K., Berzelak, N., Vehovar, V.
- Kids' Life and Times: using an Internet survey to measure children's health-related quality...; 2011; Lloyd, K.
- Features of the Z-scoring method in graphical two-dimensional web surveys: the case of ZEF; 2011; Selkaelae, A., Ronkainen, S., Alasaarela, E.
- Can Verbal Instructions Counteract Visual Context Effects in Web Surveys?; 2011; Toepoel, V., Couper, M. P.
- Can Internet surveys help us understanding allergic disorders? – results from a large survey in...; 2011; Kalogeromitros, D., Psaltopoulou, T., Makris, M., Koti, I., Chliva, C., Stefanadi, E., Hatziagelaki,...
- Development and Pilot Testing of an Internet-Based Survey Instrument to Measure the Alcohol Brand Preferences...; 2011; Siegel, M., DiLoreto, J., Johnson, An., Fortunato, E. K., DeJong, W.
- Can web surveys provide an adequate alternative to phone and face to face surveys?; 2011; Bethlehem, J.
- Online qualitative approaches: an appraisal; 2011; Parker, Ke.
- E-survey (surveys based on e-mail & web) Analysis and identification of cold responsive proteins in...; 2011; Sodabeh, J.-G., Ferdous, R.-J., Lello, Z., Ghasem, K., Ghasem, H. S., Gholipoori, A., Siroos, M., Sajjad...
- Development of a web-based survey system for evaluating affective satisfaction ; 2011; Cho, Y., Han, S. H., Kang, S., Park, J.
- Nonresponse Error, Measurement Error, And Mode Of Data Collection: Tradeoffs in a Multi-mode Survey...; 2011; Sakshaug, J. W., Yan, T., Tourangeau, R.
- A Method for Evaluating Mode Effects in Mixed-mode Surveys; 2011; Vannieuwenhuyze, J., Loosveldt, G., Molenberghs, G.
- Handle with Care: The Impact of Using Java Applets in Web-Based Studies on Dropout and Sample Composition...; 2011; Stieger, S., Goeritz, A., Voracek, M.
- An overview of Internet-based surveys in hospitality and tourism journals; 2011; Hung, K., Law, R.
- Factorial trial found mixed evidence of effects of pre-notification and pleading on response to Web-...; 2011; Felix, L. M., Burchett, H. E., Edwards, P. J.
- Testing for measurement equivalence of human values across online and paper-and-pencil surveys; 2011; Davidov, E., Depner, F.
- Measuring Political Knowledge in Telephone and Web Surveys: A Cross-National Comparison; 2011; Strabac, Z., Aalberg, T.
- IVR and web administration in structured interviews utilizing rating scales: exploring the role of motivation...; 2011; Yang, Y., Callegaro, M., Bhola, D. S., Dillman, D. A.
- Social and Behavioral Research and the Internet: Advances in Applied Methods and Research Strategies; 2011; Das, M., Ester, P., Kaczmirek, L.
- Mode and Context Effects in Measuring Household Assets; 2011; van Soest, A., Kapteyn, A.
- Running experiments on Amazon Mechanical Turk; 2010; Paolacci, G., Chandler, J., Ipeirotis, P. G.
- Making Good Use of Survey Paradata; 2010; Lynn, P., Nicolaas, G.
- Questionnaire Length, Fatigue Effects and Response Quality Revisited; 2010; Cape, P. J.
- Preventing Satisficing in Online Surveys: A “Kapcha” to Ensure Higher Quality Data...; 2010; Chandler, D., Kapelner, A.
- Game on; 2010; Ewing, T.
- Respondent Engagement: How Much Does it Matter?; 2010
- The Internet and Social Inequalities; 2010; Mannon, S.E.; Witte, J. C.
- Need to Improve Routine HIV Testing of U.S. Veterans in Care: Results of an Internet Survey; 2010; Valdiserri, R. O., Nazi, K., McInnes, D. K., Ross, D., Kinsinger, L.
- The Prevalence of Chronic Pain in United States Adults: Results of an Internet-Based Survey; 2010; Johannes, C. B., Le, T. K., Zhou, X., Johnston, J. A., Dworkin, R. H.