Modelling Job Satisfaction of Italian Graduates

Different models have been implemented to observe worker conditions, abilities, leadership, decision-making attitudes and other related concerns. This paper aims to investigate the job satisfaction of a large sample of Italian graduates with a model-based approach derived by a mixture distribution. Sample data have been collected in the 2010 AlmaLaurea survey on graduates employment conditions, 5 years after their degree. We highlight several issues which are effective in assessing the performance of the academic system and detecting graduates’ responses towards labour market using cub models approach. A specific contribution of this paper consists in emphasizing the possibility to achieve immediate interpretation and visualization of the main relationships between responses concerning job satisfaction and characteristics of the interviewees.