We use predictive modelling to identify students at risk of not completing their first-year courses and not returning to university in the second year. Our aim is two-fold. Firstly, we want to understand the pathways that lead to unsuccessful first-year experiences at university. Secondly, we...

We use predictive modelling to identify students at risk of not completing their first-year courses and not returning to university in the second year. Our aim is two-fold. Firstly, we want to understand the pathways that lead to unsuccessful first-year experiences at university. Secondly, we...

The purpose of research is to identify the trend of abandoning the professional responsibilities and analyze links between persistence motivational reactions to the obstacles and organizational issues impacting on employee satisfaction. Thus we achieve a 44 factorial analysis to define...

Abstract This paper describes the socioeconomic determinants of primary school dropout in Uganda with the aid of a logistic model analysis using the 2004 National Service Delivery Survey data. The Objectives were to establish the; household socioeconomic factors that influence dropout of pupils...