Leveraging and
Predictive Modeling in Financial Aid
Dr. Scott D. Miller
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Volume 2, Issue
1 - January 2006
Leveraging formulas and predictive modeling
programs have become popular in recent
years. Using historic trends, tracking
individual characteristics of aid recipients
and calculating conversions and yields can
be useful. College and university
administrators should be cautious, however,
when purchasing such services.
Financial aid is certainly an important
influence in the college selection process.
It would be a mistake to overestimate the
impact of the amount of aid or aid structure
in decision- making. So many other factors
can influence college choice. Location,
academic reputation, facilities, co
curricular opportunities, academic support
services and even the relationship built
between admission counselors and prospective
students and their parents can have equal or
greater influence on the selection process.
A review of relevant data is important and
can be useful, but it should not be viewed
as some magic bullet.
The size of the institution must be taken
into consideration. Modeling and other
formulas often work better at larger
institutions. Calculating trends and
conversion for 8,000 applicants for
admission might be meaningful. Attempting to
calculate meaningful trends based upon much
smaller application pools are not as likely
to be accurate and can actually be
dangerous.
Electing to address expenditure or yield
issues with formulas and models is sometimes
easier than taking a closer look at the
actual financial aid and recruitment
practices at an institution. Making changes
in internal operations can often increase
enrollment yield and assist in controlling
or reducing institutional aid expenditures.
•
Review Strategies and Tactics in
Building the Inquiry Pool
•
Examine Communication Between Admission
Counselors and Applicants for Admission
•
Thoroughly Review Financial Aid Policies
and Practices
•
Reconsider the Institutional Financial
Aid Award Policy
•
Increase Visit Rates
While effective enrollment management
requires accurate data and analysis,
administrators seeking to improve yield,
conversion rates or reduce financial aid
costs should begin the process by examining
internal operations. Enrollment management
leaders must focus efforts to make
improvements on the intended results rather
than limiting their options with a single
tool.
Data analysis is definitely useful in order
to control financial aid expenditures and
increase net revenue, but the issue is much
more complicated than just applying a new
formula or utilizing modeling technology.
This is particularly true for smaller
colleges and universities. Institutions
would benefit from an approach that combines
statistical analysis with a review of
practices.
Scott D. Miller recently began his 11th
year as president of Wesley College in
Dover, DE, which has tripled its traditional
enrollment during his tenure. He recently
began his 17th year as a college president.
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