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Analysis of dropout in engineering BSc using logistic mixed-effect models
Last modified: 2018-05-18
Abstract
The main goal of this report is to apply a logistic mixed-effect model to
analyse the relationship between the success probability in getting the BSc engineering degree in Politecnico di Milano and different sets of covariates, using as
grouping factor the engineering programme attended. The dataset of interest contains detailed information about more than 18,000 students enrolled in BSc from
2010 to 2013. This analysis is performed within the Student Profile for Enhancing
Tutoring Engineering (SPEET) ERASMUS+ project that involves Politecnico
di Milano and five other european engineering universities, aimed at opening a new
perspective to university tutoring systems.
analyse the relationship between the success probability in getting the BSc engineering degree in Politecnico di Milano and different sets of covariates, using as
grouping factor the engineering programme attended. The dataset of interest contains detailed information about more than 18,000 students enrolled in BSc from
2010 to 2013. This analysis is performed within the Student Profile for Enhancing
Tutoring Engineering (SPEET) ERASMUS+ project that involves Politecnico
di Milano and five other european engineering universities, aimed at opening a new
perspective to university tutoring systems.
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