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Peer reviewedBrown, Daniel J. – Educational Planning, 1975
Reports a solution to the problem of providing annual grade enrollment projections by use of an exponential smoothing model. (Author)
Descriptors: Elementary Secondary Education, Enrollment Projections, Enrollment Rate, Mathematical Models
Peer reviewedSimpson, Stephen – Research Papers in Education, 1987
A review of the literature concerning local school roll forecasting describes the theoretical model common to most local education agency (LEA) forecasts, identifies a variety of issues relevant to this area of LEA planning, and suggests some opportunities for improvement in LEA school roll forecasting. (Author/CB)
Descriptors: Elementary Secondary Education, Enrollment Projections, Enrollment Rate, Enrollment Trends
Dresch, Stephen P. – AAUP Bulletin, 1975
Pointing out that "trend-demographic" enrollment projections ignore important economic considerations (supply and demand), the author uses a model of educational adaptation, which focuses on the educational characteristics of the active adult population and the wage of educated relative to uneducated labor, to make projections that are compared…
Descriptors: Demography, Educational Demand, Educational Economics, Educational Supply
Department of Education and Science, London (England). – 1978
An analysis of Great Britain's higher education system, primarily between 1981 and 1994, considers the possible implication of demographic trends and how that pattern may change over the next 15 years. The purpose of the paper is to direct public attention to the issues and encourage debate rather than present discrete policy options. Planning…
Descriptors: College Students, Declining Enrollment, Educational Finance, Educational Policy
Download full textShah, Chandra; Burke, Gerald – 1996
This report describes the development and application of a model to study the movement of students in, through, and out of higher education in Australia. The model is designed to project the number of students, graduates, and dropouts by age, gender, and broad field of study. The model also estimates the probability of a student completing a…
Descriptors: Academic Persistence, Age Differences, College Students, Degrees (Academic)
Sklar, Sigmund L.; Ioup, William E. – 1971
The development and application of a computerized model, designed to stimulate the nation's future educational needs and resources and the disaprities between them, are described. The results of the simulation, reported by region and by type of residential area, allow the following types of projections through 1980: (1) enrollment given…
Descriptors: Computers, Educational Finance, Educational Needs, Educational Planning
Neblock, Carl S. – 1996
The use of the cohort-survival method for projecting student enrollments is widely known in educational finance literature; however, the limited information provided by the model impedes planners in making future operational decisions. The cohort-survival method employs historical rates of usage to predict future patterns of usage and produces a…
Descriptors: Algorithms, Bilingual Education, Cohort Analysis, Compensatory Education
Anderson, Duane D.; And Others – 1978
The third in a series of six reports on higher education in Iowa, this document presents enrollment projections for Iowa postsecondary education institutions from 1978 through 1986. Data were collected from the regents universities, independent colleges, and area colleges throughout the state. A computerized nonprescriptive projection model was…
Descriptors: Career Education, Cohort Analysis, Community Colleges, Computer Programs
Albers, James R.; Burns, James A. – 1979
The effect of enrollment level changes on the long-range future of Western Washington University are investigated. Due to the high rate of Washington state in-migration, declining enrollments are not projected for Western Washington University. The impact of managed enrollment goals was examined to help the university determine the most…
Descriptors: Admission (School), Campus Planning, College Planning, Demography
