A SIMPLIFIED LATENT VARIABLE STRUCTURAL EQUATION MODEL WITH OBSERVABLE VARIABLES ASSESSED ON ORDINAL SCALES

Andrea Bonanomi, Gabriele Cantaluppi, Angelo Zanella, Giuseppe Boari

Risultato della ricerca: Contributo in libroChapter

Abstract

The communication is related to a wide empirical research promoted by the Universit`a Cattolica del Sacro Cuore of Milan (UCSC) aimed at acquiring an insight into the real work possibilities of its graduates in the last seven years, as well as the appreciation and satisfaction of the firms which offered them a job position. The group of 1264 firms which have a special connection with UCSC, regarding new job appointments, was considered and they were given a questionnaire, using web for sending and answering. The analysis of the 203 complete answers was conducted by having recourse to a structural equation model with latent variables.
Lingua originaleEnglish
Titolo della pubblicazione ospiteStatistical Models for Data Analysis
EditorPAOLO GIUDICI, Salvatore Ingrassia, Maurizio Vichi
Pagine379-387
Numero di pagine9
DOI
Stato di pubblicazionePubblicato - 2013

Serie di pubblicazioni

NomeSTUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION

Keywords

  • Ordinal Variables
  • Polychoric Correlation Matrix
  • Structural Equation Models with Latent Variables

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