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McInnes, William C. – College and University Journal, 1972
Descriptors: College Students, Enrollment, Enrollment Projections, Futures (of Society)
Peer reviewedMcLeod, Marshall W. – Junior College Journal, 1971
A national study of enrollment growth rates in community colleges, conducted by the Arkansas State Department of Higher Education, found it most commonly exceeded expectations, especially in urban areas. (NF)
Descriptors: Educational Demand, Enrollment Projections, Enrollment Rate, Enrollment Trends
Riendeau, Albert J. – Sch Shop, 1969
Presents a need for and expected changes in post-secondary education. Expected characteristics of future educational systems include: (1) occupational training open to all, (2) individualized instruction, (3) cooperative education, (4) junior high school occupational education, (5) curriculum of instructional packages, and (6) around-the-clock…
Descriptors: Educational Needs, Educational Trends, Enrollment Projections, Postsecondary Education
American School and University, 1982
School planners in Phoenix (Arizona) have coped with unexpected student population shifts by interspersing permanent schools with modular ones. Desert Winds Elementary School, in a Phoenix suburb, was constructed entirely of relocatable modular units. (Author/MLF)
Descriptors: Educational Facilities Design, Elementary Education, Enrollment Projections, Modular Building Design
Caffarella, Edward P. – Executive Educator, 1981
Offers a formula to refine enrollment projections at the school district level. The formula builds on the traditional cohort survival technique and is based on the assumption that what has happened in the past will continue to happen in the future. Instructions and sample projections are provided. (Author/WD)
Descriptors: Cohort Analysis, Data Collection, Elementary Secondary Education, Enrollment Projections
Frankel, Martin M. – American Education, 1981
Depicts enrollment in grades K-12 from 1950-2000 and projected population changes into the 1990s, and discusses the methodology for projecting changes. (SK)
Descriptors: Birth Rate, Elementary Secondary Education, Enrollment Projections, Enrollment Trends
Peer reviewedRussell, T. W. F.; Daugherty, R. L. – Chemical Engineering Education, 1977
Discusses the problem of forecasting engineering enrollments and methods of dealing with enrollments that are too high for the job market to absorb. (MLH)
Descriptors: Engineering, Engineering Education, Enrollment, Enrollment Projections
Peer reviewedShaw, Robert C.; Alspaugh, John; Wat-Aksorn, Patchara – ERS Spectrum, 1997
Reviews three special-purpose forecasting methods (population-ratio techniques, Bell Telephone method, method of analogy, and multiple-factor method) and three methods of universal applicability (the cohort-survival, percentage- survival, and law-of-growth methods) to help administrators grasp enrollment forecasting technicalities. A comparison…
Descriptors: Cohort Analysis, Elementary Secondary Education, Enrollment Projections, Measurement Techniques
Anderson, William N. – College and University, 2002
Sought to determine if the size of an entering freshman class at a 4-year university could be accurately predicted using linear regression, a standard statistical procedure. Analyzed certain independent variables believed to be related to the number of actual enrolled freshmen. Found that a reasonably good forecast for the fall could be obtained…
Descriptors: College Attendance, College Freshmen, Enrollment Projections, Higher Education
Peer reviewedCrase, Darrell; Hamrick, Michael H. – Journal of Physical Education, Recreation and Dance, 1992
To analyze data and predict trends among physical education doctorates, researchers obtained 1983-89 data from the National Research Council which releases annual reports of earned doctorates granted by U.S. institutions. The article examines institutions, graduation rate, employment, postdoctoral degrees, race/ethnicity, and age, marital, and…
Descriptors: Doctoral Degrees, Educational Trends, Enrollment Projections, Higher Education
Ovard, Glen F.; And Others – Executive Educator, 1991
A master plan for school facilities should be brought up to date at least every five years. Outlines sections of a master plan and describes ways to project future enrollment figures. (MLF)
Descriptors: Educational Facilities Planning, Elementary Secondary Education, Enrollment Projections, Master Plans
Peer reviewedNixon, Harold L. – Journal of School Leadership, 1993
The intrinsic value of a college education is increasing as America's political and economic position in the world marketplace becomes more threatened. We will all lose if the participation of African-American students in higher education is not increased. Institutional executive and faculty leadership dedicated to providing an environment where…
Descriptors: Access to Education, Blacks, Economic Factors, Educational Attainment
Carey, Kelley D. – American School Board Journal, 2000
Instead of using sophisticated statistical techniques, principals can combine information about community birth records and past enrollments to forecast enrollments accurately. Principals should watch maternity wards; chart cohort groups; and avoid statistical traps (using bad math, using straight-line projections, accepting statistical…
Descriptors: Administrator Responsibility, Average Daily Membership, Budgets, Elementary Secondary Education
Peer reviewedAverill, Richard F.; Suttle, J. Lloyd – Socio-Economic Planning Sciences, 1975
Describes a mathematical programming model for determining the admissions policies necessary to produce optimal enrollment levels, given certain constraints on enrollment capacity and minimum and maximum admissions levels. The model is then used to analyze the possible consequences of the introduction of a summer term in Yale College. (Author)
Descriptors: College Administration, College Admission, Enrollment, Enrollment Projections
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

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