The Complementary use of Multivariate Procedures to Investigate Nonlinear and Interactive Relationships between Personality and Product Usage

Abstract

Several multivariate procedural approaches—canonical analysis, cluster analysis paired with multiple discriminant analysis, and Taylor expansion regressions with trend surface mapping—are used in a complementary fashion to examine and cross-validate nonlinear and interactive relationships between personality and product usage variables.