A Path-modeling Approach to Preference Data Analysis

Authors

  • Simona Balzano University of Cassino, Cassino, Italy
  • Giuseppe Giordano University of Salerno, Fisciano, Italy
  • Natale Carlo Lauro University of Naples Federico II, Naples, Italy

DOI:

https://doi.org/10.26398/IJAS.0032-006

Keywords:

Conjoint Analysis, Market Segmentation, Partial Least Squares, Path model, Structural Equation Model

Abstract

The paper introduces the preference data analysis, as settled in the scope of Conjoint Analysis, into the general framework of the Partial Least Squares approach to Structural Equation Models. The aim is to define a common background for interpreting the Conjoint Analysis results in terms of a path model. Once established this correspondence, we discuss how the proposed approach may represent a tool to enrich the data collection, model specification and results interpretation phases.

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Published

2020-09-16

How to Cite

Balzano, S., Giordano, G., & Lauro, N. C. (2020). A Path-modeling Approach to Preference Data Analysis. Statistica Applicata - Italian Journal of Applied Statistics, 32(1), 85–103. https://doi.org/10.26398/IJAS.0032-006

Issue

No. 1 (2020): Vol. 32, Number 1

Section

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