A prediction study in perceptual and evaluative mapping
- 33 Downloads
The study tests the ability of MDS model to predict individual preferences for new items introduced into a calibration-type similarities space. Towards this a small scale experiment involving various types of similarities and preference judgments was conducted. The results of the study show that the ideal point model fails to account for subjects' preference rankings of test items. The report discusses the study results and offers directions for future research.
KeywordsTest Item Multidimensional Scaling Ideal Point Preference Ranking Rank Position
Unable to display preview. Download preview PDF.
- Carroll, J. D. and Chang, J. J. 1967. “Relating Preference Data to Multidimensional Scaling Solution via A Generalization of Coombs' Unfolding Model.” Murray Hill: New Jersey: Bell Telephone Laboratories (mimeographed).Google Scholar
- — 1972. “Individual Differences in Multidimensional Scaling.” In Sheppard, R. N., Romney, A. K. and Nerlove, S., Eds. Multidimensional Scaling: Theory and Applications in Behavioral Sciences. New York: Academic Press.Google Scholar
- Coombs, H. C. 1964. A Theory of Data. New York: John Wiley & Sons.Google Scholar
- Green, P. E., Wind, Y. and Jain, A. K. “Preference Measurement of Item Collections.” Journal of Marketing Research 9 371–7.Google Scholar
- Kruskal, J. B. 1965. “Analysis of Factorial Experiments by Estimating Monotone Transformations of the Data.” Journal of the Royal Statistical Society Series B 27 251–63.Google Scholar
- Pekelman, D. and Sen, S. K. 1971. “Mathematical Programming Models for the Determination of Attribute Weights.” Management Science 17 (February) B-271.Google Scholar
- Stefflre Associates, Inc. 1968. “Some Materials Describing Market Structure Studies.” Laguana Beach, California: Stefflre Associates, Inc. (brochure).Google Scholar