Article thumbnail
Location of Repository

Multivariate logistic Regression for the Estimate of Response Functions in the Conjoint Analysis

By Amedeo De Luca and Sara Ciapparelli

Abstract

EnIn the Conjoint Analysis (COA) model proposed here - an extension of traditional COA - the polytomous response variable (i.e. evaluation of the overall desirability of alternative product profiles) is described by a sequence of binary variables. To link the categories of overall evaluation to the factors levels, we adopt a multivariate logistic regression model at the aggregate level. The model provides several overall desirability functions (aggregated part-worths sets), as many as the overall ordered categories are, unlike the traditional metric e non metric COA, which gives only one response function. We provide an application of the model

Topics: Aggregate Level Analysis; Conjoint analysis; Multivariate Logistic Regression
Publisher: Università del Salento
Year: 2008
OAI identifier: oai:siba-ese.unisalento.it:article/7764

Suggested articles


To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.