Analyzing factors that contribute to college dropout rates at rural four-year institutions

Abstract

Objectives This study aims to analyze the determinants of dropout rates at a rural public university systematically. The study aims to contribute to the formulation of effective policies to reduce dropout rates. Methods Lasso regression was chosen as the research method for this study because it is suitable for selecting important variables in complex data sets. Results The analysis of the results indicates that the most decisive factor significantly influencing the dropout rate is being ‘not enrolled in a university.’ Additionally, research funding per full-time faculty member, which reflects the research environment of the university, was also found to be an important factor. Conclusions To address the issue of student dropout, the study recommends that universities create policies to encourage students to persist in their studies and improve the quality of the research environment. The study also provides practical directions for policy makers and educational planners to reduce dropout rates by enhancing stu-dent support and improving the quality of education.