Stereotype logistic model: an application to the determinants of doctoral programme satisfaction in Italy

Caterina Astarita and Anna Crisci ()
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Anna Crisci: Institutions University of Naples

Quality & Quantity: International Journal of Methodology, 2023, vol. 57, issue 5, No 6, 4029-4047

Abstract: Abstract Using the stereotype logistic model, this study examines the determinants of doctoral graduate’s satisfaction with their overall doctoral programme experience in Italian universities. The dataset used (Istat 2019) covers a representative sample of national and international graduates for the graduation years 2012 and 2014 including more than 80 academic institutions and 14 disciplinary areas. The detailed questionnaire allows investigation of various aspects of satisfaction with the doctoral experience, framed by the two broader constructs of the role of the supervisor and that of the department. Regression results show that the dominant factors are related to the support for career development beyond the doctorate and to certain aspects of the supervisor’s role. Of less importance are research facilities.

Keywords: Doctoral students’/graduates’ satisfaction; Doctoral education; Supervisor; Department; Proportional odds model; Parallel line assumption; Stereotype logistic model (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11135-022-01527-1

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