This research aims to propose a model to assess students’ satisfaction in a higher education institution, taking into account student heterogeneity across different fields. Our data consists of the universe of teaching evaluations filled in by students in a large Italian public university in the academic year 2017-18. Structural Equation Modeling, and in particular Partial Least Squares - Path Modeling, is used to examine the relationships between the latent constructs, with the aim of evaluating student satisfaction.
Teaching evaluations: a structural equation modelling application / Basile, Achille; Cataldo, Rosanna; Fano, Shira; Venittelli, Tiziana. - (2019), pp. 310-313. (Intervento presentato al convegno 9th International Conference IES 2019 - Innovation & Society - Statistical evaluation systems at 360°: techniques, technologies and new frontiers tenutosi a Roma nel 4-5 Luglio).
Teaching evaluations: a structural equation modelling application.
Achille Basile;Rosanna Cataldo
;FANO, SHIRA;VENITTELLI, TIZIANA
2019
Abstract
This research aims to propose a model to assess students’ satisfaction in a higher education institution, taking into account student heterogeneity across different fields. Our data consists of the universe of teaching evaluations filled in by students in a large Italian public university in the academic year 2017-18. Structural Equation Modeling, and in particular Partial Least Squares - Path Modeling, is used to examine the relationships between the latent constructs, with the aim of evaluating student satisfaction.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
