The article is about the problem of the treatment of qualitative variables in the Structural Equation Models with attention to the case of Partial Least Squares Path Modeling. In litterature there are some proposal based on the application of known statistical tecniques to quantify the qualitative variables. Starting from these works we propose an external quantification for only qualitative variables across the Alternating Least Squares, obtaining the optimal qiuantification (vectors of optimalscaling), with the future objective to develop an algorithm that compute simultaneusly the optimal vectors of optimal scaling and the optimal regression coefficients between the variables.
Methods of quantification for qualitative manifest variables in PLS-PM / Nappo, Daniela; Lauro, Natale; Grassia, MARIA GABRIELLA; Miele, Raffaele. - STAMPA. - (2008), pp. 66-66. (Intervento presentato al convegno HDM-2008 International Conference on Multivariate Statistical Modelling & High Dimensional Data Mining tenutosi a Turchia nel giugno 2008).
Methods of quantification for qualitative manifest variables in PLS-PM
NAPPO, DANIELA;LAURO, NATALE;GRASSIA, MARIA GABRIELLA;MIELE, RAFFAELE
2008
Abstract
The article is about the problem of the treatment of qualitative variables in the Structural Equation Models with attention to the case of Partial Least Squares Path Modeling. In litterature there are some proposal based on the application of known statistical tecniques to quantify the qualitative variables. Starting from these works we propose an external quantification for only qualitative variables across the Alternating Least Squares, obtaining the optimal qiuantification (vectors of optimalscaling), with the future objective to develop an algorithm that compute simultaneusly the optimal vectors of optimal scaling and the optimal regression coefficients between the variables.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
