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
A Path-modeling Approach to Preference Data Analysis
Giuseppe Giordano
Methodology
;
2020-01-01
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 phasesFile in questo prodotto:
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