Predictive Modeling of Enrollment Yield for a Small Private College

Ledesma, Rodolfo G.

doi:10.1007/s11293-009-9177-7

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another study [9] presented a predictive model for determining enrollment at a small, private liberal arts college in Wisconsin. A limited small number of biodemographic, athletic, contact, and "choice" variable were studied using logistic regression.…”

Section: Related Literaturementioning

confidence: 99%

A Predictive Model for Graduate Application to Enrollment

Lotfi¹,

Maki²

2018

OALib

View full text Add to dashboard Cite

This study involved an investigation of factors that affect a graduate applicant in accepting an offer of admission and enrolling in a graduate program of study at a mid-sized public university. A predictive model was developed, using Decision Tree methodology to assess the probability that an admitted student would enroll in the program during the semester following acceptance. The study included actual application information such as demographic information, distance from the campus, program of interest, tests scores, financial aid, and other pertinent application items of over 4600 graduate applications over a three-year period. The Decision Tree model was then compared with a Bayesian Network model to reaffirm its validity and its predictive power. The method with the more promising outcome was used to develop predictive models for applicants interested in a sample of academic majors. The results of the predictive models were used to illustrate development of recruitment strategies for all applicants as well as for those interested in specific majors.

show abstract

Section: Related Literaturementioning

confidence: 99%

A Predictive Model for Graduate Application to Enrollment

Lotfi¹,

Maki²

2018

OALib

View full text Add to dashboard Cite

show abstract

“…Indeed, evidence supports the liberal arts declension narrative, particularly since 1970 (Kimball, 2014). Small colleges have also recently experienced increased competition for academically-strong students seeking lowenrollment institutions (Ferrall, 2011;Ledesma, 2009). The decreasing availability of federal and state appropriations have led many institutions (particularly private colleges, including Goucher) to rely heavily on tuition and fees as a primary source of revenue (Archibald & Feldman, 2008).…”

Section: Significance Of the Problemmentioning

confidence: 99%

Stop-out students’ on-leave experiences: how interactions affect institutional commitment and re-enrollment

Wu¹

View full text Add to dashboard Cite

College students may sometimes feel they need to take a break from college life. These students may return to their original campus, may transfer, or may permanently discontinue their educations. For colleges and universities pursuing positive enrollment management outcomes, these students represent opportunities to make measurable improvements in retention/persistence rates as well as college completion. The purpose of this qualitative case study was to explore how on-leave interactions affect students' institutional commitment and motivation to re-enroll. Tinto's (1975) interactionalist model of student departure provided a theoretical framework for investigating the problem of stop-out student attrition. The key finding of this study suggests that Schlossberg's (1989) conception of marginality and mattering applies to the stop-out student experience and explains the step between interactions and integration in Tinto's model. Interactions that made participants feel mattered by their individual points of contact were more meaningful and influential in building affinity with the college environment, positively affecting the desire to re-enroll. Additional research is needed to further explore the stop-out student experience and investigate the reasons students decide not to return to their original institutions.

show abstract

Predictive Modeling of Enrollment Yield for a Small Private College

Cited by 2 publications

References 0 publications

A Predictive Model for Graduate Application to Enrollment

A Predictive Model for Graduate Application to Enrollment

Stop-out students’ on-leave experiences: how interactions affect institutional commitment and re-enrollment

Contact Info

Product

Resources

About