Graduate enrollment management (GEM) is an area of enrollment management that focuses on graduate and professional education. GEM's responsibilities can include various functions such as strategic planning, marketing, recruitment and admissions, academic advising, financial aid, student services, retention, and alumni relations. The comprehensive structure of GEM puts a significant amount of pressure on enrollment managers as its unique interdependence model creates an environment where professionals must be cross-trained in several areas, manage through grey areas, cultivate relationships with personnel across the campus, accomplish department goals, support their student population, and all while staying in alignment with the institutional mission. Therefore, the purpose of this study was to explore GEM from an enrollment managers perspective. The theoretical framework that guided this study was interdependence theory, and examined the following research questions: (1) How do graduate enrollment managers explain their roles in their respective departments and at their institution? (2) How do graduate enrollment managers explain the factors influencing their work? (3) What key stakeholders do graduate enrollment managers identify as influencing their roles and their work? (4) How do graduate enrollment managers balance demands from these stakeholders? Seventeen graduate enrollment managers working at a large research university were interviewed in-depth. The …

Academic capital is composed of social processes that result in family knowledge of educational expectations, and strategies that result in a successful college experience. Often underrepresented and first-generation students lack a wealth of academic capital. This lack of knowledge may affect their college success. I used the Academic Capital Scale to research differences in academic capital in students attending a 2-year and a 4-year institution. To address differences in these two groups, I performed an independent samples t-test. The analysis was done with and without transformations (transformations were unsuccessful.) and both procedures yielded no statistical significance in mean academic capital scores. In addition, a Mann-Whitney U test was completed which also resulted in no statistically significant difference in mean rank of scores. I performed a logistic regression to determine whether academic capital could predict students' enrollment status (full time vs. part time). The model accounted for 2% of the variance in the enrollment status and the academic capital scores did not contribute significantly to the model, meaning they did not predict enrollment status. Finally, I ran a multiple regression to investigate if low socioeconomic status, gender identity, first-generation status, enrollment status, or race/ethnicity could predict students' academic capital score. The …