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).
2014
978-3-319-05552-7
Recent developments in multidimensional analysis for customer satisfaction / D'Ambra, Luigi; Ciavolino, E.. - (2014), pp. 359-369.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/571798
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