As a consequence of the expansion in higher education, the number of students has increased and the academic population has diversified but at the same time the university dropout has become a general problem since the last century (Trow, 2005; Kozma, 2010; Barro & Jong, 2013; Stanciu, 2014; Berei, 2018). In this paper, I proposed to analyz...e the persistence of students from 5 universities from Romania. We examine at institutional and individual level the perspective of their willingness to finish their studies. In partnership with the Center for Higher Education Research and Development - Hungary, named CHERD – H, from the University of Debrecen, was collected dates among students in 2012 (N=1323) and in 2014 - 2015 (N=323). Through a quantitative analysis, on a longitudinal perspective, I used SPSS statistical program to analyze data. The question of the research was: is there any difference between students` intentions to graduate on private and state institutions? Who is intending to finish and who is preparing to abandon his study? I concluded that students with unfavorable family background have nearly two times lower chance to enroll at state university and in private institutions students intention to enter into possesion of diploma was significant lower. With logistic regression I found also, that low financial status or low schooling of parents is not a significant obstacle on student academic path if they make every effort to participate in educational programs, submit assignments on time and are able to prepare for exams.
This paper presents three applied analysis. Our principal interest is to understand how meso (university level) and macro (national level) contexts interact with micro phenomena such as students’ careers. To achieve this aim, the paper shows a secondary analysis of longitudinal administrative data by means of Sequence Analysis and Event Histo...ry Models. Furthermore, it shows the results of an additional analysis using a quasi-experimental research on longitudinal data.
The paper examines typical pathways of Italian students, by means of administrative information’s on student enrollment from Sapienza University of Rome. The aim of this paper is triple: 1. describe students’ careers in higher education by building a typology of pathways using Sequence Analysis. 2. Identify how socio-economic and macro level characteristics affect students’ careers by multinomial logistic regression model where clusters are used as dependent variables and focus on the study of the “event” by using Event History analysis. 3. Evaluate the Italian Higher Education reform policies and their main outcomes throughout a quasi-experimental research.
Mainly, the outcomes show the importance of the warming-up period, the individual choice and the exogenous events after enrolment in determining the success/failure of each career. Our outcomes suggest that Italian universities should rethink the mechanisms available to manage failure and guide student choices.