دورية أكاديمية
Modelling Time-to-Dropout via Shared Frailty Cox Models. A Trade-Off between Accurate and Early Predictions
العنوان: | Modelling Time-to-Dropout via Shared Frailty Cox Models. A Trade-Off between Accurate and Early Predictions |
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اللغة: | English |
المؤلفون: | Chiara Masci (ORCID |
المصدر: | Studies in Higher Education. 2024 49(4):763-781. |
الإتاحة: | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
Peer Reviewed: | Y |
Page Count: | 19 |
تاريخ النشر: | 2024 |
نوع الوثيقة: | Journal Articles Reports - Research |
Education Level: | Higher Education Postsecondary Education |
Descriptors: | Foreign Countries, Dropouts, Dropout Prevention, Potential Dropouts, Time, Undergraduate Students, Predictive Measurement, At Risk Students |
مصطلحات جغرافية: | Italy (Milan) |
DOI: | 10.1080/03075079.2023.2252833 |
تدمد: | 0307-5079 1470-174X |
مستخلص: | 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. |
Abstractor: | As Provided |
Entry Date: | 2024 |
رقم الأكسشن: | EJ1418434 |
قاعدة البيانات: | ERIC |
تدمد: | 0307-5079 1470-174X |
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DOI: | 10.1080/03075079.2023.2252833 |