دورية أكاديمية

Modelling Time-to-Dropout via Shared Frailty Cox Models. A Trade-Off between Accurate and Early Predictions

التفاصيل البيبلوغرافية
العنوان: Modelling Time-to-Dropout via Shared Frailty Cox Models. A Trade-Off between Accurate and Early Predictions
اللغة: English
المؤلفون: Chiara Masci (ORCID 0000-0002-9208-3194), Marta Cannistrà (ORCID 0000-0001-7631-7790), Paola Mussida (ORCID 0000-0001-6364-5381)
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
الوصف
تدمد:0307-5079
1470-174X
DOI:10.1080/03075079.2023.2252833