Modeling Success: Using Preenrollment Data to Identify Academically At‐Risk Students

Publisher: John Wiley & Sons Inc

E-ISSN: 2325-4750|3|2|109-131

ISSN: 2325-4750

Source: STRATEGIC ENROLLMENT MANAGEMENT QUARTERLY, Vol.3, Iss.2, 2015-07, pp. : 109-131

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract