The paper uses the Integrated Postsecondary Education Data system (IPEDS) data to simulate the 2020 American Graduation Initiative (AGI) goal introduced by President Obama in the summer of 2009. We estimate community college graduation rates and completion numbers under different scenarios that include the following sets of variables: (a) internal…

A model is presented that combines a polynomial lag econometric model with a goal programming model to satisfy the known conditions while making efficient use of limited data. The model is applied to data for a large public university. (Author/MLW)

The impact of several environmental and institutional factors on college and university enrollments between 1975-76 and 1980-81 is examined. Separate enrollment analyses of public and private two-year and four-year institutions, and of the major doctoral, comprehensive, and baccalaureate institutions of four-year schools were made. (Author/MLW)

The merits of double exponential smoothing are discussed relative to other types of pattern-based enrollment forecasting methods. The basic assumptions and formulas for its use are outlined. The difficulties associated with selecting an appropriate weight factor are discussed, and the potential effect on prediction results is illustrated.…

A selected and annotated bibliography of ERIC documents describing community college enrollment projection methods, including a demographic planning model, a modified Delphi technique, a cohort survival model, the age participation technique, and the bond program projection technique. (Author/AC)

A model and implementation process is presented for projecting student headcount and credit hour and contact hour enrollment for each academic area and all areas aggregated by semester and fiscal year for each campus of Montgomery College, Maryland. The projection model is suggested as a managerial tool to assist the college's management to…

An important part of the analysis of the expected effects of institutional closure is estimation of redistribution of students attending the closed school. How coefficient estimates from models of enrollment demand can be used to predict the alternative attendance choices of students enrolled at the closed school is discussed. (Author/MLW)

Directors of Research and Evaluation in school districts were surveyed about their methods in making school enrollment projections. The questionnaire covered school district size, minority enrollment, staff responsibility for performing projections, acceptable levels of accuracy, methodology used, special considerations, and use of the data. Fifty…

In forecasting its fall credit headcounts, the Office of Institutional Research and Analysis at Prince George's Community College (PGCC) utilizes the Component Yield Method (CYM), an enrollment projection model developed by the college's planning analyst in the early 1980's. By disaggregating enrolled students into multiple groups, each with an…

Because the enrollment question is central to the resolution of a number of issues facing higher education, institutions as well as jurisdictional bodies have become increasingly concerned with the determination of future student demand. However, the changing characteristics of our population indicate the need for a new and somewhat more complex…

An interactive, computerized model developed for Old Dominion University utilizes university historical data, demographic characteristics, projected selected economic variables and population figures by various age groups and planning districts to forecast enrollment, financial projections, and future fiscal conditions of the institution. The…

This paper examines the changing demographics of American society and the impact of these changes on higher education. Discussions include a historical background of early American demography, the building and expansion of the population base, and census changes through various generations of the baby boom years and beyond. Next, the report…

A highly technical report describes higher education forecasting procedures used by the State Education Department of New York at Albany to project simulated college enrollments for New York State from 1978-1994. Basic components of the projections--generated for full- and part-time undergraduates, full- and part-time graduates, and…