Identifying predictors of nursing dropout and attrition before and after Bachelor's Graduation based on the IPOD model: A machine learning approach

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Publicado en:	Nurse Education in Practice vol. 88 (Oct 2025), p. 104580-104597
Autor principal:	Arian, Mahdieh
Otros Autores:	Kamali, Azadeh, Dalir, Zahra, Hajiabadi, Fatemeh, Mazloum, Seyed Reza
Publicado:	Elsevier Limited
Materias:	Iran Academic achievement Students Email Attrition Shortages College students Employment Professional development Burnout Performance indicators Work experience Entrance examinations Social media Workforce Nurses Algorithms Learning Midwifery Accuracy Nursing education Dropping out Grades (Scholastic) Digital audio players Nursing Work Machine learning Decision making Nursing care Nursing schools Data collection Tuition Admissions policies Career advancement Regression analysis Attrition (Research Studies) Doctoral Programs Academic Records Graduation Job Satisfaction Artificial Intelligence Graduate Surveys Dropouts Career Change Individual Characteristics Content Validity Educational Quality Undergraduate Students Graduates Learning Experience Environmental Influences Intention Data Analysis Labor Force Development Educational Experience College Science
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