Conjoint Analysis

Klaus Backhaus (), Bernd Erichson (), Sonja Gensler (), Rolf Weiber () and Thomas Weiber
Additional contact information
Klaus Backhaus: University of Münster
Bernd Erichson: Otto-von-Guericke-University Magdeburg
Sonja Gensler: University of Münster
Rolf Weiber: University of Trier

Chapter Chapter 9 in Multivariate Analysis, 2021, pp 531-598 from Springer

Abstract: Abstract The (traditional) conjoint analysis is a procedure for measuring and analyzing consumers' preferences for specific objects. The test persons evaluate different objects stating their preferences using metric or ordinal scales. The measured preferences are used as proxies for the utility value of an object. The goal of conjoint analysis is to identify the utility contribution of each attribute level that decsribes an object. Conjoint analysis is used in the context of new product development and is a method of multivariate analysis frequently used in practice. This chapter describes both the traditional conjoint analysis and the choice-based conjoint (CBC) analysis.

Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-658-32589-3_9

Ordering information: This item can be ordered from
http://www.springer.com/9783658325893

DOI: 10.1007/978-3-658-32589-3_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().