Web Survey Bibliography
Title Internet-Usage within a Delphi-study
Author Balzer, L.
Year 2004
Access date 05.05.2004
Abstract The Delphi-method is a structured expert questioning, which goal it is to find solutions for complex problems with the help of all the contributions of all persons involved. For this purpose experts of a certain field are asked to take part in a first questioning about a special problem. All the statements are evaluated by the researcher and all the results (as group-opinions) are reported to the experts. Under the influence of the group judgement the experts are requested to take part in a second questioning, then they get another feedback about the results etc. This happens until a consent concerning the problem definition is reached and/or until the opinions do not change any more. The experts remain anonymous among themselves and often towards the researcher. In more recent time the internet is discovered as a tool for the Delphi method, since one promises oneself among other things an easier access to an expert sample. This talk reports about the experiences and the log file analyses of an on-line Delphi called "How do we succeed within evaluation studies?" and discusses among other things the following problems: · How easy is it to find experts within the internet? · How can one affect the response rates? · Is the possibility to interrupt and continue the survey later on used by the experts? · How is the connection between expert status and stopping the participation within a questioning? · How is the connection between expert status and stopping the participation over the different questionings? · What can we learn for future on-line Delphi studies in detail and for on-line surveys in general?
Abstract - optional Bei der Delphi-Methode handelt es sich um eine strukturierte Expertenbefragung, deren Ziel es ist, aus jedem einzelnen Beitrag aller beteiligten Personen Lösungen für komplexe Probleme zu erarbeiten. Zu diesem Zweck werden dabei Experten eines bestimmten Inhaltsbereiches gebeten, in einer ersten Befragungsrunde zu einem bestimmten Problem Stellung zu nehmen. Diese Stellungnahmen werden vom Untersuchungsleiter ausgewertet und deren Ergebnisse werden den Experten als Gruppenurteile zurückgemeldet. Unter dem Einfluss der zurückgemeldeten Gruppenurteile werden die Experten erneut zur Stellungnahme aufgefordert, eine erneute Ergebnisrückmeldung erfolgt usw. Dies geschieht solange, bis ein Konsens bezüglich der Problemstellung erreicht ist bzw. bis sich das Urteil der Experten nicht mehr ändert. Die Experten bleiben dabei untereinander und oft auch dem Untersuchungsleiter gegenüber anonym. In neuerer Zeit wird für die Delphi-Methode auch das Internet als Instrument entdeckt, da man sich hiermit u.a. einen leichteren Zugang zu einer Expertenstichprobe verspricht. Dieser Beitrag berichtet von den Erfahrungen und Logfile-Analysen eines online-Delphis mit dem Titel "Wie werden Evaluationsstudien erfolgreich?" und behandelt u.a. folgende Problemstellungen: · Wie ist eine Expertengruppe über das Internet zugänglich? · Wie kann man die response-Raten beeinflussen? · Wird die Möglichkeit, eine Befragung unterbrechen und später wieder aufnehmen zu können, genutzt? · Wie ist der Zusammenhang zwischen Expertenstatus und Abbruch-Quoten innerhalb einer Befragungsrunde? · Wie ist der Zusammenhang zwischen Expertenstatus und Abbruch-Quoten über die verschiedenen Befragungsrunden hinweg? · Was kann man für zukünftige online-Delphis im Besonderen und online-Befragungen im Allgemeinen lernen?
Access/Direct link Homepage - conference (abstract)
Year of publication2004
Bibliographic typeConferences, workshops, tutorials, presentations
Web Survey Bibliography (6359)
- Effects of Lotteries on Response Behavior in Online Panels; 2013; Goeritz, A., Luthe, S. C.
- Lotteries and study results in market research online panels; 2013; Goeritz, A., Luthe, S. C.
- The Effects of Errors in Paradata on Weighting Class Adjustments: A Simulation Study; 2013; West, B. T.
- Using Paradata to Study Response to Within-Survey Requests; 2013; Sakshaug, J. W.
- Paradata for Coverage Research ; 2013; Eckman, S.
- Improving Surveys with Paradata: Analytic Uses of Process Information; 2013; Kreuter, F.
- Theory of adaptation or survival of the fittest?; 2013; Cavallaro, K.
- Online Fundraising Essentials, Second Edition; 2013; Stevenson, S. C.
- Tips for Evaluating Online Effectiveness; 2013; Stevenson, S. C.
- The Digital Divide: The internet and social inequality in international perspective; 2013; Ragnedda, M., Muschert, G.
- Ten questions to ask your online survey provider; 2013; Williams, D.
- Survey quality prediction system 2.0; 2013
- Practical tools for designing and weighting survey samples; 2013; Valliant, R. L., Daver, J. A., Kreuter, F.
- Paradata in web surveys; 2013; Callegaro, M.
- Report Of The AAPOR Task Force On Non-probability sampling; 2013; Baker, R. P., Brick, J. M., Bates, N., Battaglia, M. P., Couper, M. P., Dever, J. A., Gile, K. J., Tourangeau...
- Incentive effects; 2013; Goeritz, A.
- A nationwide web-based freight data collection; 2013; Samimi, A., Mohammadian, A., Kawamura, K.
- Mode Matters: Evaluating Response Comparability in a Mixed-Mode Survey; 2013; Bowyer, B. T., Rogowski, J. C.
- Comparing Survey Results Obtained via Mobile Devices and Computers: An Experiment With a Mobile Web...; 2013; de Bruijne, M., Wijnant, A.
- Cognitive Probes in Web Surveys: On the Effect of Different Text Box Size and Probing Exposure on Response...; 2013; Behr, D., Bandilla, W., Kaczmirek, L., Braun, M.
- The E-Interview in Qualitative Research; 2013; Bampton, R., Cowton, C., Downs, Y.
- Methodological Considerations of Qualitative Email Interviews; 2013; Nehls, K.
- Best Practice in Online Survey Research with Sensitive Topics; 2013; Kays, K., Keith, T. L., Broughal, M. T.
- Research Intentions are Nothing without Technology: Mixed-Method Web Surveys and the Coberen Wall of...; 2013; Ganassali, S., Rodriguez-Santos, C.
- Reducing Response Burden for Enterprises Combining Methods for Data Collection on the Internet; 2013; Vik, T.
- Measuring Wages Worldwide: Exploring the Potentials and Constraints of Volunteer Web Surveys; 2013; Steinmetz, S., Raess, D., Tijdens, K., de Pedraza, P.
- Using Web Surveys for Psychology Experiments: A Case Study in New Media Technology for Research; 2013; Peden, B. F., Tiry , A. M.
- The Distinctiveness of Online Research: Descriptive Assemblages, Unobtrusiveness, and Novel Kinds of...; 2013; Lanfrey, D.
- Sampling, Channels, and Contact Strategies in Internet Survey; 2013; Macrì, E., Tessitore, C.
- Advancing Research Methods with New Technologies; 2013; Sappleton, N.
- Data Quality in PC and Mobile Web Surveys; 2013; Mavletova, A. M.
- PDAs in socio-economic surveys: instrument bias, surveyor bias or both?; 2013; Escobal, J., Benites, S.
- Virtual research assistants: Replacing human interviewers by automated avatars in virtual worlds; 2013; Hasler, B. S., Tuchman, P., Friedman, D.
- Compared to a small, supervised lab experiment, a large, unsupervised web-based experiment on a previously...; 2013; Ryan, R. S., Wilde, M., Crist, S.
- From mixed-mode to multiple devices. Web surveys, smartphone surveys and apps: has the respondent gone...; 2013; Callegaro, M.
- Moving an established survey online – or not?; 2013; Barber, T., Chilvers, D., Kaul, S.
- Using mobile devices to access the realities of youth: How identification with society influences political...; 2013; Smith, M.
- On the Use of Latent Variable Models to Detect Differences in the Interpretation of Vague Quantifiers...; 2013; Griffin, J.
- Managing mobile research: How it's different and why it matters; 2013; Kachhi-Jiwani, D., Tucker, J., Wilding-Brown, L.
- An approach to selecting online respondents; 2013; Terhanian, G.
- By the Numbers: Theory of adaptation or survival of the fittest?; 2013; Cavallaro, K.
- Designing and conducting business surveys; 2013; Snijkers, G.,Araldsen, G., , Willimack, D. K.Jones, J.
- Battle of the Scales: Understanding Respondent Scale Usage in the US and Abroad; 2013; Courtright, M., Pashupati, K., Pettit, F. A.
- Modular Survey Design: A Bite Size Proposal; 2013; Kelly, F., Stevens, S., Johnson, A.
- Cyborgs vs. Monsters: Assembling Modular Surveys to Create Complete Datasets; 2013; Johnson, E. P., Siluk, L., Tarraf, S.
- Do I Have Your Full Attention?; 2013; Cape, P. J.
- Does Sample Size Still Matter?; 2013; Bakken, D. G., Bond, M.
- Optimizing Surveys for Smartphones: Maximizing Response Rates While Minimizing Bias; 2013; Lattery, K., Park Bartolone, G., Saunders, T.
- Shorter Isn't Always Better; 2013; Burdein, I.
- Solving the Unintentional Mobile Challenge; 2013; Peterson, G., Mechling, J., LaFrance, J., Ham, G.
