Investigating the determinants of job satisfaction of Italian graduates: a model-based approach. Issue 1 (2nd January 2016)

• Record Type: Journal Article
• Authors: Capecchi, Stefania; Piccolo, Domenico
• Is Part Of: Journal of applied statistics. Volume 43:Issue 1(2016)
• Page Start: 169
• Page End: 179
• Publication Date: 2016-01-02
• Subjects: job satisfaction -- ordinal data -- cub models; 62D05 -- 62F; C13 -- C25 -- C52 -- J28; Statistics -- Periodicals; 519.5
• DOI: 10.1080/02664763.2015.1036844
• Languages: English
• ISSNs: 0266-4763

Abstract

Abstract : The paper explores the relationship between personal, economic and time-dependent covariates as determinants of the job satisfaction expressed by graduate workers. After discussing the main results of the literature, the work emphasizes a statistical modelling approach able to effectively estimate and visualize those determinants and their interactions with subjects' covariates. Interpretation and visualization of graduates' profiles are shown on the basis of a survey conducted in Italy; more specifically, the determinants of both satisfaction and uncertainty of the respondents are explicitly discussed.