• Medientyp: E-Artikel
  • Titel: Cohort Default Rates : Predicting the Probability of Federal Sanctions : Predicting the Probability of Federal Sanctions
  • Beteiligte: Hillman, Nicholas W.
  • Erschienen: SAGE Publications, 2015
  • Erschienen in: Educational Policy
  • Sprache: Englisch
  • DOI: 10.1177/0895904813510772
  • ISSN: 0895-9048; 1552-3896
  • Schlagwörter: Education
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:p>This study examines the institutional factors associated with student loan default. When a college has more than 30% of its students default on their loans, then the institution faces federal sanctions that could make them ineligible from participating in the federal student loan program. Using Integrated Postsecondary Education Data System (IPEDS) data from 2008 ( N = 4,488), and applying logistic regression, this study finds for-profit colleges, those accredited by vocational education programs, and those serving diverse student bodies are most at risk of federal sanctions. It concludes that accreditation reform and improving graduation rates could be long-term solutions to addressing the default problem.</jats:p>