Web Survey Bibliography
Title Conjoint analysis of individual preferences over the Internet
Author Melles, T., Luzar, M.
Year 1999
Access date 26.08.2004
Abstract Conjoint analysis is used to investigate preferences and decision making. Through the last two decades it has gained growing interest in market research. In conjoint analysis for each attribute-level a partworth is determined by decomposing global multiattribute judgments. Reliability and validity of this method is determined by several characteristics of the task (cf. number and complexity of concepts) and of the subject. Validity of different methodological variants has been demonstrated. Nevertheless, little is known about the influence of different preference elicitation procedures on results in conjoint analysis. This is especially true for using the internet although it has gained growing interest in market research (Saltzman & MacElroy, 1999). We conducted an online conjoint analysis testing reliability and validity on multiple criteria. Each of 9226 subjects was asked to make 30 graded paired comparisons. The results were compared to a conjoint analysis conducted through a traditional computerized personal interview. Possible methods to limit the drop-out of subjects and to improve the validity of conjoint-data will be discussed. The goal of this paper is to give users of conjoint analysis an example for using this method in online-research. Moreover it is shown what problems have to be regarded and how valid the data will be.
Year of publication1999
Bibliographic typeBook section
Web survey bibliography - 1999 (45)
- Making Web research pay off: A research manager roundup; 1999; Smith, P.
- Back to the Future of Online Polling; 1999; Taylor, H., Terhanian, G., Mitofsky, W. J.
- Nonresponse in Web Surveys; 1999; Vehovar, V.
- Designing Web Usability: The Practice of Simplicity; 1999; Nielsen, J.
- The Design of an International Real Time Data Collection System: SADC-HYCOS; 1999; Andrews, A. J., Pieyns, S., Servat, E.
- Survey research; 1999; Krosnick, J. A.
- Factors affecting measurement stability. More is not necessarily better: Effects of number of items...; 1999; Thomas, R. K.
- Calibration as a standard method for treatment of nonresponse; 1999; Lundstrom, S., Sarndal, C.-E.
- Question Appraisal System - QAS-99 ; 1999; Willis, G. B., Lessler, J. T.
- Current Internet science - trends, techniques, results. ; 1999; Reips, U.-D., Batinic, B., Bandilla, W., Bosnjak, M., Graef, L., Moser, K., Werner, A.
- Internet Systems for Evaluation Research; 1999; Watt, J. H.
- 'Once would be enough': some reflections on the issue of safety for lone researchers ; 1999; Kenyon, E., Hawker, S.
- The Effect of Incentives on Response Rates in Interviewer-Mediated Surveys; 1999; Singer, E., van Hoewyk, J., Gebler, N., Raghunathan, T., McGonagle, K.
- Measuring the Flow Construct in Online Environments: A Structural Modeling Approach; 1999; Novak, T. P., Hoffman, D. L., Yung, Y.-F.
- Internet Survey Data Collection: The Case Of Webqual; 1999; Deans, K. R., Adam, S.
- Drop-out caused by JavaScript: "I could not have expected this to happen " - A Web experiment...; 1999; Reips, U.-D., Schwarz, S.
- Can Internet Polling Work? Strategies for Conducting Public Opinion Surveys Online; 1999; Flemming, G., Sonner, M.
- Development of a system for on-line evaluation of teaching; 1999; Marsh, J., Jones, Ja., Boehnker, D. N., Mavis, K.
- Improving Electronic Data Collection and Dissemination Through Usability Testing; 1999; Murphy, E. D., Marquis, K., Hoffman, R., Saner, L., Tedesco, H., Harris, C.
- Internet Data Collection at the U.S. Census Bureau; 1999; Kanarek, H., Sedivi, B.
- The internet ... A possible research tool?; 1999; Senior, C., Smith, Mi.
- Casting a wider net; 1999; Marinelli, J.
- Anatomy of an on-line focus group; 1999; Sweet, C.
- On-line focus groups: Mainstream in the millennium?; 1999; Thorne, G.
- In-home CAPI: a new era in data collection?; 1999; Bos, R.
- Recruiting sources for on-line studies; 1999; Bradford, D. P.
- Research and the Internet: a winning combination; 1999; Clarkson, B.
- Surveying collegiate Net surfers; 1999; Wygant, S., Lindorf, R.
- An empirical comparison of traditional and web-based experimental survey administration: Could it be...; 1999; Frey, B. F.
- Japan Has 18 Million Internet Users; 20 Pct. Tried E-Commerce; 1999; Nikkei NetBusiness
- Principis's Web Survey competent for basic tasks; 1999; Marshall, T.
- Complementary and alternative medicine use by patients with inflammatory bowel disease: An Internet...; 1999; Meddings, J. B., Hilsden, R. J., Verhoef, M. J.
- Computer-Assisted Interviewing: The Design and Application of Survey Software to the Wired Suburb Project...; 1999; Hampton, K. N.
- Pollsters.com; 1999; Mitofsky, W. J.
- Realtime Interviewing Using the World Wide Web; 1999; Chen, Pe., Hilton, S. M.
- Comparing Seven Forms of Online Surveying; 1999; MacElroy, B.
- Designing and implementing Web-based surveys; 1999; Lazar, J., Preece, J.
- Overcoming Methodological Concerns in the Investigation of Online Sexual Activities; 1999; Cooper, A., Scherer, C. R., Mathy, R.
- E-mail surveys: what we've learned thus far; 1999; Schuldt, B. A., Totten, J. W.
- Privacy Issues in Internet Surveys; 1999; Cho, H., LaRose, R.
- Research Methodology: Taming the Cyber Frontier-Techniques for Improving Online Surveys; 1999; Kaye, B. K., Johnson, T. J.
- Surveying Through Cyberspace; 1999; Supowitz, J. A.
- Online Research: Methoden, Anwendungen und Ergebnisse ; 1999; Batinic, B., Bandilla, W., Graef, L., Werner, A.
- Ethical decision making in business: A comparison between New Zealand decision makers and a World Wide...; 1999; Frey, B. F.
- Introductory notes on Web interviewing; 1999; Ahlhauser, B.