In the literature is largely addressed the problem of quantification of qualitative variables, and different proposals, ranging from a simple re-up to a transformation of the full scale of measurement of variables. In this work we discuss some techniques of quantification, used in the Structural Equations (SEM). The SEM allow simultaneous estimation of several causal links between different variables, in particular, we treat the problem of referring to the Partial Least Squares Path Modeling (PLS-PM) for which we present some proposals made in Litterature, based on algorithms of optimal quantification.

Metodi di quantificazione per le variabili qualitative ordinali / Nappo, Daniela; Grassia, MARIA GABRIELLA. - In: STATISTICA APPLICATA. - ISSN 1125-1964. - STAMPA. - 20:1(2008), pp. 61-71.

Metodi di quantificazione per le variabili qualitative ordinali

NAPPO, DANIELA;GRASSIA, MARIA GABRIELLA
2008

Abstract

In the literature is largely addressed the problem of quantification of qualitative variables, and different proposals, ranging from a simple re-up to a transformation of the full scale of measurement of variables. In this work we discuss some techniques of quantification, used in the Structural Equations (SEM). The SEM allow simultaneous estimation of several causal links between different variables, in particular, we treat the problem of referring to the Partial Least Squares Path Modeling (PLS-PM) for which we present some proposals made in Litterature, based on algorithms of optimal quantification.
2008
Metodi di quantificazione per le variabili qualitative ordinali / Nappo, Daniela; Grassia, MARIA GABRIELLA. - In: STATISTICA APPLICATA. - ISSN 1125-1964. - STAMPA. - 20:1(2008), pp. 61-71.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/357096
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