Conjoint Analysis
Conjoint analysis is a multivariate research technique based
on the idea that a good or a service can be described by the
attributes that comprise it (Lancaster 1991), and that purchasing
behavior can be interpreted as a choice among different
products or brands, which possess a set of
differentiating attributes or characteristics (Varela et al.
1997). CA is one of several empirical methods that come
under the broad umbrella of stated preference techniques,
and it allows researchers to measure consumer trade-offs
between multi-attribute products (Ness and Gerhardy
1994). A noteworthy review of the applications of
CA in sensometrics is the work of Moskowitz and Silcher
(2006).