Employer Support as a Predictor of Online Master’s Student Retention

Abstract

Enrollment in master level programs, particularly online, have been increasing nationwide. Students enrolled in online master’s programs tend to be older and more ethnically diverse, and are likely to be balancing work, finances, and family responsibilities with their educational pursuits. These challenges have resulted in higher attrition rates and lower completion rates. This study examined the extent that 1st year retention is predicted by employer support when controlling for demographics, student background, external factors, integration/socialization, and intent to graduate. Development of an online master’s student retention model using logistic regression analysis identified four variables that significantly predict 1st year retention including, employer support, household income, overall satisfaction, and importance of graduating from the institution. Master’s students who received employer support were almost two times more likely to be retained at 1-year. Having students seek these employer benefits may lead to increased graduation rates, higher pay, and job satisfaction.