Web Survey Bibliography
Title QUAID: A questionnaire evaluation aid for survey methodologists
Author Graesser, A., Wiemer-Hastings, K., Kreuz, R., Wiemer-Hastings, P.
Source Behavior Research Methods, Instruments & Computers, 32, 2, pp. 254-262
Year 2000
Access date 27.07.2004
Abstract QUAID (question-understanding aid) is a software tool that assists survey methodologists, social scientists, and designers of questionnaires in improving the wording, syntax, and semantics of questions. The tool identifies potential problems that respondents might have in comprehending the meaning of questions on questionnaires. These problems can be scrutinized by researchers when they revise questions to improve question comprehension and, thereby, enhance the reliability and validity of answers. QUAID was designed to identify nine classes of problems, but only five of these problems are addressed in this article: unfamiliar technical term, vague or imprecise relative term, vague or ambiguous noun phrase, complex syntax, and working memory overload. We compared the output of QUAID with ratings of language experts who evaluated a corpus of questions on the five classes of problems. The corpus consisted of 505 questions on 11 surveys developed by the U.S. Census Bureau. Analyses of hit rates, false alarm rates, d scores, recall scores, and precision scores revealed that QUAID was able to identify these five problems with questions, although improvements in QUAID’s performance are anticipated in future research and development.
Access/Direct link Entrez PubMed (abstract)
Year of publication2000
Bibliographic typeJournal article
Web survey bibliography - 2000 (46)
- Pollsters Inside the Box; 2000; Clark, R.
- The threat of satisficing in surveys: The shortcuts respondents take in answering questions; 2000; Krosnick, J. A.
- Designing Web Usability; 2000; Nielsen, J.
- Comparison of telephone, mail, Web, and IVR surveys of drugs and alcohol use among University of Georgia...; 2000; Bason, J. J.
- The measurement of personal values in survey research: A test of alternative rating procedures; 2000; McCarty, J. A., Shrum, L. J.
- Model of behavioral intention. A two-factor motivational model of behavioral intention; 2000; Thomas, R. K.
- DMS/AOL's Opinion Place expands research services to offer broadest online representation available...; 2000
- Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—...; 2000; Agarwal, R., Sambamurthy, V., Stair, R.
- Old, new make up today's surveys.; 2000; James, D.
- Software Comes Down to Earth; 2000; Macer, T.
- Using Web questionnaires for judgement and decisoin making research; 2000; Baron, J., Siepmann, M.
- Tell me, what did you see? The stimulus on computers; 2000; Krantz, J. H.
- Computer software and qualitative analysis: trends, issues and resources; 2000; Lee, R. M., Esterhuizen, L.
- Web and Mail Survey: Comparison on a Large-Scale Project; 2000; Kennedy, J. M., Kuh, G. D., Li, J., Hayek, J., Inghram, J., Bannister, N., Segar, K.
- Method and Representation in Internet-Based Survey Tools: Mobility, Community, and Cultural Identity...; 2000; Witte, J. C., Amoroso, L. M., Howard, P. E. N.
- Developing Usability Guidelines for AudioCasi Respondents with Limited Literacy Skills; 2000; J., Schneider, S. J.
- Technology Effects: Do CAPI or PAPI Interviews Take Longer?; 2000; Fuchs, M., Couper, M. P., Hansen, S. E.
- What Users Want From a Tool for Analyzing and Documenting Electronic Questionnaires: The User Requirements...; 2000; Kelly, M.
- Documentation for 2000 Presidential Election Internet Survey; 2000; Alvarez, M. R., Sherman, R.
- Internet Panel Response To The 'State Of The Union' Address: An Experiment; 2000; Frankovic, K. A.
- Current Practices in Intraspinal Therapy - A Survey of Clinical Trends and Decision Making; 2000; Hassenbusch, S. J., Portenoy, R. K.
- Online qualitative research task force: report of findings; 2000; Sweet, C., Walkowski, J.
- International growth of Web survey activity; 2000; MacElroy, B.
- Using online focus groups for e-commerce research; 2000; Johnson, W.
- The future of online research; 2000; James, D.
- Taking It To The Web; 2000; Grant, A. T., Dispensa, G.
- An opposing view of online surveying; 2000; Gorman, J. W.
- You've got surveys; 2000; Lipke, D. J.
- Developing usable Web sites - a review and model; 2000; Cunliffe, D. V.
- Impact of measurement periods on website rankings and traffic estimation: a user-centric approach; 2000; Lee, Su., Leckenby, J. D.
- The power of online research; 2000; Taylor, H.
- Report from Portland. AAPOR conference focuses on Web research; 2000; Totten, J. W.
- Psychological Experiments on the Internet; 2000; Birnbaum, M. H.
- A Brief History of Web Experimenting; 2000; Musch, J., Reips, U.-D.
- Potential of the Internet for Personality Research; 2000; Buchanan, T.
- Using the Internet for survey research: A case study; 2000
- Leverage-saliency theory of survey participation; 2000; Groves, R. M., Singer, E., Corning, A.
- E-interviewers add human touch to Web-based research; 2000; Wygant, S., Feld, K. G.
- Variables influencing dropout rates in Web-based surveys; 2000; MacElroy, B.
- Research non-stop; 2000; Grecco, C.
- Measuring response rates in online surveys; 2000; MacElroy, B.
- Content Analysis of the World Wide Web: Opportunities and Challenges; 2000; Weare, C., -Y., Lin, W.-Y.
- Banner-advertised Web surveys; 2000; Tuten, T. L., Bosnjak, M., Bandilla, W.
- Use of E-Mail And Internet Surveys By Research Companies; 2000; Totten, J. W.
- A Comparison Of Mail, Fax, And Web-Based Survey Methods; 2000; Cobanoglu, C., Warde, B., Moreo, P. J.
- Introduction: Survey and Statistical Computing in the New Millennium; 2000; Banks, R.