ERIC Number: EJ1418434
Record Type: Journal
Publication Date: 2024
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0307-5079
EISSN: EISSN-1470-174X
Modelling Time-to-Dropout via Shared Frailty Cox Models. A Trade-Off between Accurate and Early Predictions
Studies in Higher Education, v49 n4 p763-781 2024
This paper investigates the student dropout phenomenon in a technical Italian university from a time-to-event perspective. Shared frailty Cox time-dependent models are applied to analyse the careers of students enrolled in different engineering programs with the aim of identifying the determinants of student dropout through time, predicting the time to dropout as soon as possible and to observe how the dropout phenomenon varies across time and degree programs. The innovative contributions of this work are methodological and managerial. First, the adoption of shared frailty Cox models with time-varying covariates is relatively new to the student dropout literature and it allows to consider the student career evolution and the heterogeneity across degree programs. Second, understanding the dropout pattern over time and identifying the earliest moment for obtaining its accurate prediction allow policy makers to set timely interventions for students at risk of dropout.
Descriptors: Foreign Countries, Dropouts, Dropout Prevention, Potential Dropouts, Time, Undergraduate Students, Predictive Measurement, At Risk Students
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Italy (Milan)
Grant or Contract Numbers: N/A