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Render, Barry; Shawhan, Gerald L. – Socio-Economic Planning Sciences, 1977
Presents results of research efforts to develop an enrollment forecasting model for Ohio's higher education system. The model employs the concept of spatial interaction to determine the market share of each public college each year. Also discusses data bases, cost function development, and forecasting of actual enrollment for each college.…
Descriptors: Enrollment, Enrollment Projections, Higher Education, Management Systems
Glynn, Joseph G.; Miller, Thomas E. – College and University, 2003
Describes the development of two enrollment management tools: (1) a student-tracking model designed to monitor and report on student transitions through the educational experience; and (2) a near-term student enrollment-forecasting model. Follows a fictional class for several years to illustrate the tools. (EV)
Descriptors: College Attendance, Enrollment Management, Enrollment Projections, Higher Education
Grace, M.; And Others – Journal of Educational Data Processing, 1975
A Markov process is used to project student enrollment for grades 1-12 for the school years 1971-1986. Absorbing Markov chain theory is used to estimate grade times, the time spent in each grade, and probabilities of eventual graduation or dropout for each grade level. (Author)
Descriptors: Elementary Secondary Education, Enrollment, Enrollment Projections, Mathematical Models
Manitoba Dept. of Education, Winnipeg. Finance Branch. – 1987
Enrollment estimates for public and private schools in Manitoba, Canada, have been produced by the Finance Branch of the Department of Education for the years 1987-1991. The purpose of these estimates is to provide an indication of future enrollment trends to facilitate planning of financial requirements. The estimating process is based upon…
Descriptors: Elementary Secondary Education, Enrollment, Enrollment Projections, Public Schools

Chambers, M. M. – Planning and Changing, 1974
Nationwide college enrollments are increasing, and State tax support of annual operations of higher education is also increasing, faster than inflation. There are a few distressed institutions and a few disadvantaged States where enrollments are leveling and where financial support is rising; but these do not change the national picture.…
Descriptors: Colleges, Educational Finance, Enrollment Projections, Enrollment Trends
Bowen, Charles R. – Sch Shop, 1969
Descriptors: Enrollment, Enrollment Projections, Labor Needs, Recruitment
Bezeau, Lawrence M. – 1975
The general solution to the problem of calculating school enrollments at time (t-1) necessary to meet predetermined graduation or manpower targets at time (t) is derived and examined. The solution, which is obtained by minimizing the squared discrepancy between the given graduations and those predicted by the enrollments, requires the unique…
Descriptors: Educational Planning, Enrollment Projections, Graduates, Labor Needs
McIsaac, Donald N.; And Others – 1972
ENROLV2 is a FORTRAN coded enrollment projection program designed to forecast public school student enrollment from a sample background data matrix. With this program the user can employ a variety of approaches to the projection of both initial grade data and the body of the background matrix. Beginning with the background data (the enrollment for…
Descriptors: Computer Programs, Data Processing, Databases, Enrollment
SHAWL, WILLIAM – 1966
BASED ON WASHINTON STATE ENROLLMENT REPORT INFORMATION FOR THE YEARS 1963, 1964, AND 1965 AND FROM THE OPENING OF TACOMA COMMUNITY COLLEGE IN 1965, IT WAS CONCLUDED THAT A NEW COLLEGE WILL CREATE ADDITIONAL ENROLLMENT IN ITS IMMEDIATE AREA AND WILL HAVE NO MEASURABLE EFFECT ON THE ENROLLMENT OF OLDER INSTITUTIONS. IN THE CASE OF TACOMA,…
Descriptors: College Planning, Enrollment, Enrollment Projections, Enrollment Trends
Bruce, Michael G. – Phi Delta Kappan, 1978
The British government is the first in Europe to have produced a discussion document and to have spelled out the options for higher education in the face of current enrollment projections. The five options in the discussion document are briefly outlined. (Author/IRT)
Descriptors: Educational Policy, Enrollment Projections, Enrollment Trends, Foreign Countries
Cook, Ronald J. – Momentum, 1985
Proposes a model to help Catholic school budget planners understand a series of significant factors which can predict enrollment and stabilize the budget process. Details the reliability of the model through eight successive years of testing at Bishop Foley High School in Detroit. (CBC)
Descriptors: Budgeting, Catholic Schools, Elementary Secondary Education, Enrollment Projections

Shaw, Robert C. – NASSP Bulletin, 1984
Three methods of student enrollment forecasting and the reports of tests of their reliability are described. In forecasting enrollment, school officials should use a variety of methods. (MD)
Descriptors: Elementary Secondary Education, Enrollment Projections, Methods, Prediction
Massa, Todd – 2003
When the State Council of Higher Education for Virginia (SCHEV) released its 2000-2010 projections of student demand for Virginia higher education, many were stunned at the projection of as many as 38,000 new students looking for access to higher education, but policy makers formulated, and state voters passed, a general obligation bond package to…
Descriptors: Enrollment Projections, Enrollment Trends, Financial Support, Higher Education
Armacost, Robert L.; Wilson, Alicia L. – 2002
In a large metropolitan research university, multiple enrollment models are required to fulfill the needs of the many constituents and planning horizons. In addition, the method of predicting enrollment in a growth environment differs from that of universities in a stable environment. Three models for predicting enrollment are discussed, with a…
Descriptors: Enrollment Projections, Higher Education, Models, Prediction
Engelhardt, N. L. – Nation's Schools, 1974
Presents a 4-step procedure for projecting district enrollment for the next five years. (Author/DN)
Descriptors: Administrator Guides, Educational Planning, Enrollment Influences, Enrollment Projections