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Healey, Marilou T.; Brown, Daniel J. – Higher Education, 1978
A smoothing model was applied to the transition ratios of the number of university students in successive time periods. Each application was conditional on the department and year of student. The results may be applied to any level of aggregation in the institution. (Author/LBH)
Descriptors: College Students, Enrollment Projections, Enrollment Trends, Futures (of Society)
Peer reviewed Peer reviewed
McRae, Douglas J. – Journal of Medical Education, 1978
This datagram examines applicant/population data for the past 50 years, modifies Lambson's method slightly, and presents projections for the number of applicants to U.S. medical schools for 1978 through 1990. (LBH)
Descriptors: Admission (School), College Applicants, Competitive Selection, Enrollment Projections
Richards, Carol R. – School Business Affairs, 1978
Statistics prepared by the National Center for Education Statistics (NCES) indicate that enrollment for the nonpublic school will show modest signs of growth. (Author)
Descriptors: Basic Skills, Discipline Policy, Educational Philosophy, Elementary Secondary Education
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Pfitzner, Charles Barry – Community/Junior College Quarterly of Research and Practice, 1987
Applies the Box-Jenkins time series methodology to enrollment data for the Virginia community college system. Describes the enrollment data set, the Box-Jenkins approach, and the forecasting results. Discusses the value of one-quarter ahead enrollment forecasts and implications for practice. Provides a technical discussion of the model. (DMM)
Descriptors: College Planning, Community Colleges, Enrollment Projections, Information Utilization
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Stewart, G. Kent – CEFP Journal, 1987
Small school districts have little leeway in predicting school enrollment. The basic tool of cohort survival technique can be augmented with the district census study and strategically located volunteers to monitor move-ins and move-outs within an assigned geographic area of the school district. (MLF)
Descriptors: Census Figures, Cohort Analysis, Community Surveys, Elementary Secondary Education
Peer reviewed Peer reviewed
Hutchinson, George – College and University, 1988
A discussion of the difficulties of enrollment projection examines the wide range of variables affecting enrollments and the likely technological, scientific, manpower, social, and humanistic needs of the world in 2000 that should motivate recruitment efforts. (MSE)
Descriptors: College Administration, College Planning, Enrollment Influences, Enrollment Projections
Peer reviewed Peer reviewed
Gibbins, Neil L. – CEFP Journal, 1985
This article presents a computer program for aiding prediction of how to make maximum use of the physical plant to accommodate the instructional program at a secondary school. It uses Conrad's formula for determining capacity, room needs, and utilization of facilities. The formula, BASIC program, and a sample table are provided. (DCS)
Descriptors: Computer Software, Educational Facilities Planning, Enrollment Projections, Facility Requirements
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Jingming, Zhang; Jiana, Peng – Journalism Educator, 1986
Notes that journalism education prior to 1949 was modeled after American journalism schools, while since the 1950s, that orientation has been replaced by Soviet principles. Observes the projected shortage of journalism graduates and the need for increased capacity in journalism institutions and for increased international exchange. (HTH)
Descriptors: Educational Change, Educational History, Educational Philosophy, Enrollment Projections
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Sherman, Joel D. – CEFP Journal, 1983
The future financial picture of American education will by affected by: increased demand for schools, higher concentrations of children with special education needs, constrained revenue bases, and increased competition for relatively stable public sector resources. There will be wide variability both among states and among school districts within…
Descriptors: Educational Finance, Educational Trends, Elementary Secondary Education, Enrollment Projections
Spectrum, 1984
A bar graph and table shows school-age population projections by region and state for 1980, 1990, and 2000. The Northeast and North Central regions will show a steady decline, the West will show a steady increase, and the South will decline in 1990 but increase by 2000. (TE)
Descriptors: Census Figures, Elementary Secondary Education, Enrollment Projections, Graphs
Peer reviewed Peer reviewed
Kieft, Raymond N. – College and University, 1977
A methodology for forecasting enrollments at the individual unit level is presented. It can be used to produce detailed enrollment projections (e.g., by class level by semester by year) or more aggregate information (e.g., academic or fiscal year total enrollment), and it does not require the typical institution to obtain new data. (LBH)
Descriptors: Computer Science, Credit Courses, Data Analysis, Educational Planning
Harter, Elizabeth A.; England, Martin D. – 2002
The planning office of a large urban university produced an induced course load matrix (ICLM) analysis to support the university's plans for undergraduate enrollment growth at its three campuses. The ICLM tables, based on the complete course histories of the 1993 entering cohort, summarize the program and course selections of a cohort of students…
Descriptors: Course Selection (Students), Enrollment Projections, Enrollment Rate, Enrollment Trends
Windham, Patricia – 1996
The 10 tables in this report present data on projected enrollments in Florida community colleges between 1996-97 and 2003-04, resulting from the recent baby "boomlet." The tables present the following data: actual and projected public high school graduates in the state, 1993-94 through 2002-03; the projected impact of the boomlet on…
Descriptors: Community Colleges, Enrollment, Enrollment Projections, Full Time Equivalency
Department of Education, Washington, DC. – 1999
This report measures the impact of the baby-boom echo--the 25 percent increase in the U.S. birth rate that began in the mid-1970s and reached its peak in 1990 with the birth of 4.1 million children. The paper reports that a record 53.2 million students will attend school in the next decade and that college enrollment will rise to a record 14.9…
Descriptors: Educational Needs, Elementary Secondary Education, Enrollment Projections, Enrollment Trends
Grip, Richard S.; Young, John W. – 1999
This report is based on a study in which a regression model was constructed to increase accuracy in enrollment predictions. A model, known as the Modified Regression Technique (MRT), was used to examine K-12 enrollment over the past 20 years in 2 New Jersey school districts of similar size and ethnicity. To test the model's accuracy, MRT was…
Descriptors: Comparative Analysis, Elementary Secondary Education, Enrollment Management, Enrollment Projections
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