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Showing 1 to 15 of 38 results Save | Export
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Tanner, Sean; Terrell, Jenna; Vislosky, Emily; Gellar, Jonathan; Gill, Brian – Regional Educational Laboratory Mid-Atlantic, 2021
Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. This…
Descriptors: Enrollment, Enrollment Projections, School Districts, Statistical Analysis
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Regional Educational Laboratory Mid-Atlantic, 2021
Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. This…
Descriptors: Enrollment, Enrollment Projections, School Districts, Statistical Analysis
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PDF on ERIC Download full text
Regional Educational Laboratory Mid-Atlantic, 2021
Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. The…
Descriptors: Enrollment, Enrollment Projections, School Districts, Statistical Analysis
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Perez-Vergara, Kelly – Strategic Enrollment Management Quarterly, 2020
Institutional staff such as enrollment managers, business officers, and institutional researchers are often asked to predict enrollments. Developing any predictive model can be intimidating, particularly when there is no textbook to follow. This paper provides a practical framework for generating enrollment projection options and for evaluating…
Descriptors: Enrollment Projections, Enrollment Management, Enrollment Trends, Models
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Lindsay, Jim; Wan, Yinmei; Berg-Jacobson, Alexander; Walston, Jill; Redford, Jeremy – Regional Educational Laboratory Midwest, 2016
Every year the U.S. Department of Education reports for each state in the country the grade levels, subject areas, and geographic areas that have experienced teacher shortages (U.S. Department of Education, Office of Postsecondary Education, 2015). A teacher shortage occurs when the number of teachers available in a specific grade, subject matter…
Descriptors: Teacher Supply and Demand, Teacher Shortage, State Legislation, Surveys
Lins, L. J. – 1968
Assumptions, purposes, and factors of short range estimates and long range projections are discussed. The combined ratio method and the cohort-survival techniques were procedures used for making estimates and projections of student enrollment. The projection for the state system is discussed in terms of sub-projections for undergraduates,…
Descriptors: College Planning, Data Analysis, Enrollment, Enrollment Influences
State Univ. of New York, Albany. Office of the Regents. – 1973
This paper summarizes the progress of the review of enrollment made by the New York State Regents. The analysis and projections in this paper are limited to full-time, undergraduate, degree-credit enrollment. Detailed data concerning historical trends and projections are contained in the appendix to this paper. The paper attempts to focus on two…
Descriptors: Data Analysis, Enrollment, Enrollment Projections, Higher Education
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Britney, Robert R. – Socio-Economic Planning Sciences, 1975
Describes and evaluates a circuitless flow model for forecasting future student attributes and enrollment projections, compared with a simple Markov chain model. Data from a study of secondary students are used to illustrate the analytical methodologies and to contrast results of the Markov chain and circuitless flow models. (JG)
Descriptors: Data Analysis, Enrollment Projections, Management Information Systems, Mathematical Models
Banks, Jerry; Hohenstein, C. L. – 1970
Three mathematical models and their enrollment projections for higher education in Georgia are presented. The first model is an extrapolation of current trends. The second model is a simple linear regression model based on steady growth. The third is a multiple regression model attempting to account for the influences of several variables…
Descriptors: Data Analysis, Enrollment, Enrollment Influences, Enrollment Projections
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Gordon, Milton A. – Journal of Negro Education, 1976
This paper examines enrollment figures for blacks in colleges during the period 1940 to 1972 and develops a statistic that is more significant than either enrollment figures or percentages in order to determine the progress made by these students. (Author/AM)
Descriptors: Black Education, Black Students, Blacks, College Attendance
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Frisbie, David A. – Educational Evaluation and Policy Analysis, 1982
Validation studies, placement-enrollment comparisons, student surveys, and instructor interviews are discussed as operational methods in a synthesizing approach to undergraduate course placement evaluation. A range of suggested questions is coupled with various data sources in placement evaluation schemes and system procedures. (CM)
Descriptors: Data Analysis, Enrollment Projections, Evaluation Methods, Higher Education
Pitruzzello, Philip – 1980
School districts must analyze demographic data carefully if they hope to deal effectively with changing enrollment patterns. Sources of relevant data include local planning boards, utility companies, government records of vital statistics, carefully conducted school censuses, and municipal records of housing construction and property transfers.…
Descriptors: Data Analysis, Elementary Secondary Education, Enrollment Projections, Enrollment Trends
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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
Smith, Curtis A. – 1999
"EnrollForecast for Excel" will generate a 5-year forecast of K-12 student enrollment. It will also work for any combination of grades between kindergarten and twelth. The forecasts can be printed as either a table or a graph. The user must provide birth history (only if forecasting kindergarten) and enrollment history information. The user also…
Descriptors: Data Analysis, Decision Making, Educational Administration, Educational Change
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Lohr, J. Glenn – Journal of the American College Health Association, 1973
This study was primarily an investigation of the status of health services in public community colleges in the United States. (Author/RK)
Descriptors: Community Colleges, Data Analysis, Enrollment Projections, Enrollment Rate
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