Premium
ENROLLMENT FORECASTING: USE OF A MULTIPLE‐METHOD MODEL FOR PLANNING AND BUDGETING *
Author(s) -
Gaither Gerald H.,
Dukes Fred O.,
Swanson John R.
Publication year - 1981
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1981.tb00077.x
Subject(s) - flexibility (engineering) , adaptability , computer science , measure (data warehouse) , macro , regression analysis , regression , linear regression , operations research , data mining , statistics , machine learning , mathematics , economics , management , programming language
A multiple‐method approach is presented for making enrollment projections at the departmental, school, and university level. The various methods utilized are based on the application of a cohort model (macro level) and regression techniques (micro level). The model demonstrates its flexibility in selecting one of a number of regression techniques according to a comparison approach using historical and projected results. This multiple‐method approach has proved to be highly accurate and thus useful in allocating and redistributing resources to the operating units of a university. Previous efforts have relied almost solely on a single regression technique for projections and allocation purposes rather than a method based on a measure of flexibility, adaptability, and prediction confirmation.