In consumer research, marketing, public policy and other fields, individuals’ choice depends on the number of possible alternatives. In addition, according to the literature, the choice satisfaction is influenced not only by the number of options but also by the perceived variety. The aim of the present study is to apply a novel statistical approach to model perceived variety, in order to better understand the perceptions of individuals about the variety of the possible choice options. We resort to the class of CUB (Combination of Uniform and Binomial random variables) models, in particular to the Nonlinear extension of CUB, in order to (i) provide a measure for perceived variety, (ii) add a measure of uncertainty, (iii) give insights on the state of mind of respondents toward the response scale. The application of the Nonlinear CUB to real data previously published shows interesting results.
Modelling perceived variety in a choice process with nonlinear CUB
Brentari E.;Manisera M.;Zuccolotto P.
2018-01-01
Abstract
In consumer research, marketing, public policy and other fields, individuals’ choice depends on the number of possible alternatives. In addition, according to the literature, the choice satisfaction is influenced not only by the number of options but also by the perceived variety. The aim of the present study is to apply a novel statistical approach to model perceived variety, in order to better understand the perceptions of individuals about the variety of the possible choice options. We resort to the class of CUB (Combination of Uniform and Binomial random variables) models, in particular to the Nonlinear extension of CUB, in order to (i) provide a measure for perceived variety, (ii) add a measure of uncertainty, (iii) give insights on the state of mind of respondents toward the response scale. The application of the Nonlinear CUB to real data previously published shows interesting results.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
