The paper intends to introduce some methodological evolutions in the field of Customer Satisfaction (CS) regards the following aspects: the uni-dimensionality evaluation of questionnaire, considering the Simple Component Analysis (SCA); the parameters estimation of Structural Equation Model (SEM), based on the Generalized Maximum Entropy (GME) method; the detection of relationship between categorical variables, in the framework of Non Symmetrical Correspondence Analysis (NSCA).
Recent developments in multidimensional analysis for customer satisfaction / D'Ambra, Luigi; Ciavolino, E.. - (2014), pp. 359-369.
Recent developments in multidimensional analysis for customer satisfaction
D'AMBRA, LUIGI;
2014
Abstract
The paper intends to introduce some methodological evolutions in the field of Customer Satisfaction (CS) regards the following aspects: the uni-dimensionality evaluation of questionnaire, considering the Simple Component Analysis (SCA); the parameters estimation of Structural Equation Model (SEM), based on the Generalized Maximum Entropy (GME) method; the detection of relationship between categorical variables, in the framework of Non Symmetrical Correspondence Analysis (NSCA).File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
Dambra&Ciavolino2014comp.pdf
non disponibili
Tipologia:
Documento in Post-print
Licenza:
Creative commons
Dimensione
321.62 kB
Formato
Adobe PDF
|
321.62 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.