The object of the work is to take into account non-linear relationships in path analysis models with latent variables. Some theoretical remarks are made on the context where non-linearity is to be considered (i.e. inner and/or outer model). Diagnostic tools to test the existence of a non-linear relationship are also presented, mainly with reference to the so-called Kano models. An application to data coming from a survey on the customers of a financial organization is finally presented.

Boari, G., Cantaluppi, G., Bertelli, S., Non-Linear Relationships in SEM with Latent Variables: Some Theoretical Remarks and a Case Study, in Fichet, B., Piccolo, D., Verde, R., Vichi, M. (ed.), Classification and Multivariate Analysis for Complex Data Structures, Springer Verlag, BERLIN HEIDELBERG -- DEU 2011: <<STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION>>, 293- 300. 10.1007/978-3-642-13312-1_30 [http://hdl.handle.net/10807/23651]

Non-Linear Relationships in SEM with Latent Variables: Some Theoretical Remarks and a Case Study

Boari, Giuseppe;Cantaluppi, Gabriele;Bertelli, Stefano
2011

Abstract

The object of the work is to take into account non-linear relationships in path analysis models with latent variables. Some theoretical remarks are made on the context where non-linearity is to be considered (i.e. inner and/or outer model). Diagnostic tools to test the existence of a non-linear relationship are also presented, mainly with reference to the so-called Kano models. An application to data coming from a survey on the customers of a financial organization is finally presented.
2011
Inglese
Classification and Multivariate Analysis for Complex Data Structures
978-3-642-13311-4
Springer Verlag
Boari, G., Cantaluppi, G., Bertelli, S., Non-Linear Relationships in SEM with Latent Variables: Some Theoretical Remarks and a Case Study, in Fichet, B., Piccolo, D., Verde, R., Vichi, M. (ed.), Classification and Multivariate Analysis for Complex Data Structures, Springer Verlag, BERLIN HEIDELBERG -- DEU 2011: <<STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION>>, 293- 300. 10.1007/978-3-642-13312-1_30 [http://hdl.handle.net/10807/23651]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/23651
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