Web Survey Bibliography
Title Drop-Out Analysis: Effects of Research Design
Author Knapp, F., Heidingsfelder, M.
Source Dimensions of Internet Science, Reips, U.D., Bosnjak, M. (eds.), Pabst Science Publishers: Lengerich
Year 2001
Access date 28.05.2004
Abstract Drop-Out poses a special problem to online surveys. As in postal surveys, there are no guiding interviewers who could support the questioning. The Rogator-method (one question-one screen) supplies information about the nature of drop-outs. These may result by lenght of interview, questionnaire design, type of question etc. Drop-outs should be avoided because of several reasons. Surveys in rare or difficult segments afford a high response and drop-outs could be systematic, thus resulting in a biased sample. Furthermore, drop-outs and poor answers seem to have the same reasons, so that drop-outs will also signal poor data quality. Improvements in survey and questionnaire design and in survey software could therefore reduce drop-outs and bias considerably, thus resulting in higher data quality. The paper analyses drop-outs from several projects. Results are indicating, that open and matrix-questions are hard to handle for respondents, consequently leading to a lenghty survey and more drop-outs. In addition, regular patterns in answering
matrix questions do raise serious concern in applying this type of question. There exists also a structural problem. In website evaluations, members of the community are more responsive and will deliver more insightful comments on open questions. Samples are therefore dominated by „fans“. Bias could be avoided by splitting a questionnaire, serving closed questions in one survey, appealing hopefully to all prospective respondents. A second questionnaire, consisting of both closed and open questions, will deliver further in-depth results, possibly restricted to the community. The latter restriction will not hamper the goal of such a survey to a great extent. Benchmarking to other websites / communities will still be possible, opportunity for improvements still be there. These results will certainly give rise to building more pointed hypothesis. The next step will be specific ethodological tests. An advanced survey software will undoubtedly offer many opportunities for testing, especially through collecting information about the technical status of users, duration of interviews and other parameters. This serves a permanent, empirical based optimization of software and questionnaire.
Access/Direct link Homepage - Pabst Science Publishers
Year of publication2001
Bibliographic typeBook section
Web survey bibliography - 2001 (57)
- Computer-assisted Self-interviewing over the Web: Criteria for Evaluating Survey Software with Reference...; 2001; Flatley, J.
- Creating a Web research guide: Collaboration between liaisons, faculty and students; 2001; Sugarman, T. S., Demetracopoulos, C.
- Questionnaire Pretesting Methods: Do Different Techniques and Different Organizations Produce Similar...; 2001; Rothgeb, J. M., Willis, G. B., Forsyth, B. H.
- Practical methods for sampling rare and mobile populations; 2001; Kalton, G.
- Recommended Standard Final Outcome Categories and Standard Definitions of Response Rate for Social Surveys...; 2001; Lynn, P., Beerten, R., Laiho, J., Martin, J.
- Visual Analog Scales: Do they have a role in the measurement of preferences for health states?; 2001; Torrance, G. W., Feeny, D., Furlong, W.
- Trends in household survey nonresponse: A longitudinal and international comparison; 2001; de Leeuw, E. D., de Heer, W.
- The construction of attitudes; 2001; Schwarz, N., Bohnerd, G.
- Subscale distance and item clustering effects in self-administered surveys: A new metric; 2001; Bradlow, E. T., Fitzsimons, G. J.
- On the use of college students in social science research: Insights from a second‐order meta&#...; 2001; Peterson, R. A.
- Introduction to behavioral research on the internet; 2001; Birnbaum, M. H.
- Experiments on column width spacing in the University of Michigan Student Life Survey; 2001; Boyd, C. J., McCabe, S. E., Couper, M. P., Crawford, S. D.
- Building an alternative response process model for business surveys; 2001; Willimack, D. K., Nichols, E. M.
- Ethische Dimensionen der Online-Forschung; 2001; Dzeyk, W.
- Panel Bias from Attrition and Conditioning: A Case Study of the Knowledge Networks Panel; 2001; Clinton, J. D.
- Web experiment on colour harmony principles applied to computer user interface design; 2001; Laugwitz, B.
- Knowledge acquisition, navigation and eye movements from text and hypertext; 2001; Naumann, A., Waniek, J., Krems, J. F.
- Score Reliability in Web or Internet-Based Surveys: Unnumbered Graphic Rating Scales versus Likert-Type...; 2001; Cook, C., Heath, F., Thompson, R. L., Thompson, B.
- On-line student feedback: A pilot study ; 2001; Galbraith, L. B., Gee, P., Jennings, F., Riley, R.
- Comparing Two Survey Research Approaches: E-Mail and Web-Based Technology versus Traditional Mail ; 2001; Howes, C. M., Mailloux, M. R.
- Literature Review of Web and E-mail Surveys, Chapter III; 2001; Schonlau, M., Fricker, R. D., Elliot, M. N.
- Over the Net. Taking advantage of the Internet in radio measurement; 2001; Cohen, E., O'Hare, B., Jones, L.
- Platform-dependent biases in Online Research: Do Mac users really think different?; 2001; Buchanan, T., Reips, U.-D.
- Documentation for 2001 Winter Internet Survey; 2001; Alvarez, M. R., Sherman, R.
- Using touch screen audio-CASI to obtain data on sensitive topics; 2001; Cooley, P. C., Rogers, S. M., Al-Tayyib, A. A., Ganapathi, L. F., Willis, G. B., Turner, C. F.
- When money doesn't talk; 2001; Funk, S., McCallum-Keeler, G.
- Reaching IT professionals: online vs. telephone interviewing; 2001; Van Houten, B.
- A comparison of Internet and mail survey methodologies; 2001; Medlin, B., Whitten, D.
- Qualitatively Speaking: Online focus groups are no substitute for the real thing; 2001; Greenbaum, T.
- Designing a questionnaire that dives beneath the surface; 2001; Humphreys, G., McNeish, J.
- Online focus group FAQs; 2001; Zinchiak, M.
- Telephone Survey Methodology; 2001; Groves, R. M., Biemer, P. P., Lyberg, L. E., Massey, J. T., Nicholls II, W. L., Waksberg, J.
- In the flesh or online? Exploring qualitative research methodologies; 2001; Seymour, W. S.
- Comparing Random Digit Dial Surveys With Web Surveys: The Case Of Health Care Consumers In California...; 2001; Berry, S., Zapert, K., Payne, S., Payne, L., Sanstad, K., Marcus, S., Spranca, M., Kan, H., Turner,...
- Analysis of Internet Users' Level of Online Privacy Concerns; 2001; O'Neil, D.
- Financial Incentives, Personal Information and Drop-Out in Online Studies; 2001; Frick, A., Bachtiger, M. T., Reips, U.-D.
- Survey Nonresponse; 2001; Groves, R. M., Dillman, D. A., Eltinge, J. L.
- Web survey errors; 2001; Lozar Manfreda, K.
- Testing an Internet Response Option for the American Community Survey; 2001; Griffin, D. H., Fischer, D. P., Morgan, M. T.
- Successful online qualitative market research; 2001; Bradford, D. P.
- From telephone to the Web; 2001; Stone, B.
- Best practices for online survey research; 2001; Dimetrosky, S., Khawaja, S., Degens, P.
- Scandinavia Leading Europe's Broadband Revolution; 2001; Anonymous
- Human factors in business-to-business research over the internet; 2001; Culkin, N., Brown, Js., Fletcher, J.
- Going Global: Issues in Applying Internet; 2001; Bauman, S., Jobity, N., Wilson, D., Atak, H., Deis, M., Airey, J.
- Experimental comparison of Web, electronic and mail survey technologies in operations management; 2001; Klassen, R. D., Jacobs, J.
- An Assessment of the Generalizability of Internet Surveys; 2001; Best, S. J., Krueger, B. S., Hubbard, C., Smith, A. J.
- Web survey design and administration; 2001; Couper, M. P., Traugott, M. W., Lamias, M. J.
- The record of internet-based opinion polls in predicting the results of 72 races in the November 2000...; 2001; Taylor, H., Bremer, J., Overmeyer, C., Siegel, J. W., Terhanian, G.
- Using Internet polling to forecast the 2000 elections; 2001; Terhanian, G., Taylor, H., Bremer, J., Overmeyer, C., Siegel, J. W.