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Autor/inn/enLangston, Randall; Wyant, Robert; Scheid, Jamie
TitelStrategic Enrollment Management for Chief Enrollment ­Officers: Practical Use of Statistical and Mathematical Data in Forecasting First Year and Transfer College Enrollment
QuelleIn: Strategic Enrollment Management Quarterly, 4 (2016) 2, S.74-89 (16 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN2325-4750
DOI10.1002/sem3.20085
SchlagwörterEnrollment Management; Strategic Planning; Statistical Data; Predictor Variables; Enrollment Trends; Enrollment Projections; College Freshmen; College Transfer Students; Measurement Techniques; Mathematical Models
AbstractBoth an art and a science, enrollment projections have become a major component to effective college and university fiscal planning. With stagnant or declining state budget support for public higher education along with an increasing emphasis on revenue generation, never before has predicting the size of an entering class become more imperative. Too few students and budgets are sure to suffer; too many students and residence halls will be overflowing. This article presents several approaches to manage enrollment data for an entering class and predict enrollment yield. By examining past yield behavior coupled with trend and conversion data, a college or university will be better positioned to provide exceptionally accurate enrollment forecasts to senior administration. The authors provide pragmatic examples to empirically engage and data mine applicant pools for both first year and transfer populations in order to predict yield conversion with a greater level of confidence. Special attention will be placed on describing different statistical and mathematical techniques to predict enrollment. (As Provided).
AnmerkungenJohn Wiley & Sons Inc. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://onlinelibrary.wiley.com/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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