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

Giuseppe Boari; Gabriele Cantaluppi; Stefano Bertelli

doi:10.1007/978-3-642-13312-1_30

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

Giuseppe Boari
, Gabriele Cantaluppi
, Stefano Bertelli

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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.

Original language	English
Title of host publication	Classification and Multivariate Analysis for Complex Data Structures
Editors	B Fichet, D Piccolo, R Verde, M Vichi
Pages	293-300
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-13312-1_30
Publication status	Published - 2011

Publication series

Name	STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION

Keywords

PLS
non linear relationships

Access to Document

10.1007/978-3-642-13312-1_30

Cite this

Boari, G., Cantaluppi, G., & Bertelli, S. (2011). Non-Linear Relationships in SEM with Latent Variables: Some Theoretical Remarks and a Case Study. In B. Fichet, D. Piccolo, R. Verde, & M. Vichi (Eds.), Classification and Multivariate Analysis for Complex Data Structures (pp. 293-300). (STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION). https://doi.org/10.1007/978-3-642-13312-1_30

Boari, Giuseppe ; Cantaluppi, Gabriele ; Bertelli, Stefano. / Non-Linear Relationships in SEM with Latent Variables: Some Theoretical Remarks and a Case Study. Classification and Multivariate Analysis for Complex Data Structures. editor / B Fichet ; D Piccolo ; R Verde ; M Vichi. 2011. pp. 293-300 (STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION).

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

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.",

keywords = "PLS, non linear relationships, PLS, non linear relationships",

author = "Giuseppe Boari and Gabriele Cantaluppi and Stefano Bertelli",

year = "2011",

doi = "10.1007/978-3-642-13312-1\_30",

language = "English",

isbn = "978-3-642-13311-4",

series = "STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION",

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booktitle = "Classification and Multivariate Analysis for Complex Data Structures",

}

Boari, G, Cantaluppi, G & Bertelli, S 2011, Non-Linear Relationships in SEM with Latent Variables: Some Theoretical Remarks and a Case Study. in B Fichet, D Piccolo, R Verde & M Vichi (eds), Classification and Multivariate Analysis for Complex Data Structures. STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION, pp. 293-300. https://doi.org/10.1007/978-3-642-13312-1_30

Non-Linear Relationships in SEM with Latent Variables: Some Theoretical Remarks and a Case Study. / Boari, Giuseppe; Cantaluppi, Gabriele; Bertelli, Stefano.
Classification and Multivariate Analysis for Complex Data Structures. ed. / B Fichet; D Piccolo; R Verde; M Vichi. 2011. p. 293-300 (STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Non-Linear Relationships in SEM with Latent Variables: Some Theoretical Remarks and a Case Study

AU - Boari, Giuseppe

AU - Cantaluppi, Gabriele

AU - Bertelli, Stefano

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - PLS

KW - non linear relationships

KW - PLS

KW - non linear relationships

UR - http://hdl.handle.net/10807/23651

U2 - 10.1007/978-3-642-13312-1_30

DO - 10.1007/978-3-642-13312-1_30

M3 - Chapter

SN - 978-3-642-13311-4

T3 - STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION

SP - 293

EP - 300

BT - Classification and Multivariate Analysis for Complex Data Structures

A2 - Fichet, B

A2 - Piccolo, D

A2 - Verde, R

A2 - Vichi, M

ER -

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, editors, Classification and Multivariate Analysis for Complex Data Structures. 2011. p. 293-300. (STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION). doi: 10.1007/978-3-642-13312-1_30

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

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