Common Optimal scaling for Customer Satisfaction Multidimensional Models

Risultato della ricerca: Contributo alla conferenzaContributo in Atti di Convegno

Abstract

A singular algorithm of ALSOS’s (Alternating Least Squares with Optimal Scaling) is presented. It allows to assign the same scaling to all variables measured on the same categorical level in a categorical regression. The algorithm is applied to a model for measurement and evaluation of Customer Satisfaction (CS). The results seem to support the use of multiplicative models like Cobb-Douglas’s, to analyze how the overall satisfaction of goods or services customers is shaped.
Lingua originaleInglese
Pagine537-540
Numero di pagine4
Stato di pubblicazionePubblicato - 1 gen 2007
EventoMeeting of Classification and Data Analysis Group of Italian Statistical Society - Macerata
Durata: 1 gen 2007 → …

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???Meeting of Classification and Data Analysis Group of Italian Statistical Society
CittàMacerata
Periodo1/01/07 → …

Keywords

  • ALSOS
  • Cobb-Douglas models
  • Customer Satisfaction

Fingerprint

Entra nei temi di ricerca di 'Common Optimal scaling for Customer Satisfaction Multidimensional Models'. Insieme formano una fingerprint unica.

Cita questo