A multi-trait multi-method validity test of partworth estimates
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 12 - Chapter in an edited book (Author) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Conjoint Measurement: Methods and Applications |
| Publisher | Springer Berlin Heidelberg |
| Pages | 145-166 |
| ISBN (print) | 9783540714033 |
| Publication status | Published - 2007 |
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Abstract
Conjoint analysis has already been widely accepted by marketing researchers as a popular instrument for the measurement of consumer preferences. Typical applications of conjoint analysis include new product design based on the relationship between product features and predicted choice behavior, benefit segmentation based on attribute preferences, etc. The popularity of conjoint analysis among marketing researchers hinges on the belief that it produces valid measurements of consumer preferences for the features of a product or service, and that it provides accurate predictions of choice behavior. © 2007 Springer-Verlag Berlin Heidelberg.
Citation Format(s)
A multi-trait multi-method validity test of partworth estimates. / Kamakura, Wagner; Ozer, Muammer.
Conjoint Measurement: Methods and Applications. Springer Berlin Heidelberg, 2007. p. 145-166.
Conjoint Measurement: Methods and Applications. Springer Berlin Heidelberg, 2007. p. 145-166.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 12 - Chapter in an edited book (Author) › peer-review
