A general multivariate latent growth model with applications in student careers Data warehouses

摘要

The evaluation of the formative process in the University system has beenassuming an ever increasing importance in the European countries. Within thiscontext the analysis of student performance and capabilities plays afundamental role. In this work we propose a multivariate latent growth modelfor studying the performances of a cohort of students of the University ofBologna. The model proposed is innovative since it is composed by: (1)multivariate growth models that allow to capture the different dynamics ofstudent performance indicators over time and (2) a factor model that allows tomeasure the general latent student capability. The flexibility of the modelproposed allows its applications in several fields such as socio-economicsettings in which personal behaviours are studied by using panel data.