Year: 2025
Type: article
Abstract: This study delves into the intricate and multifaceted factors driving state-level college and university closures, leveraging publicly accessible variables through a Generalized Linear Model (GLM) analysis, in contrast to Multiple Discriminant Analysis (MDA). The analysis identifies key determinants of closures, including institutional endowment, tuition, and the percentage of in-state students. A pivotal contribution of this research is the development of a predictive Z-score model and ranges, offering robust and efficient tools for classifying higher education institution closures with enhanced applicability.
Authors: Johnny Pang, Ryan Sonn
Institution: Monmouth University
Language: English
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4411124936