In this paper we propose an alternative approach to conjoint analysis (CA) based on the principal component analysis onto a reference sub-space (PCAR). Following this technique, the results of a CA are considerably enriched by some graphical interpretation tools and optimal synthesis of the individual estimated part-worth coefficients are also obtained with respect to hierarchized judges sub-populations
A Multidimensional Approach to Conjoint Analysis. Applied Stochastic Models and Data Analysis
VERDE, Rosanna
1998
Abstract
In this paper we propose an alternative approach to conjoint analysis (CA) based on the principal component analysis onto a reference sub-space (PCAR). Following this technique, the results of a CA are considerably enriched by some graphical interpretation tools and optimal synthesis of the individual estimated part-worth coefficients are also obtained with respect to hierarchized judges sub-populationsFile in questo prodotto:
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