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Grip, Richard S. – Planning and Changing, 2020
As part of school district planning and projecting future enrollments, demographers need to factor the impact of new housing developments by using student yields. While resources are available that provide statewide student yields, they may not best reflect the demographic attributes of a school district's attendance area. In this case study of a…
Descriptors: School Districts, Suburban Schools, Housing, Enrollment Projections
Grip, Richard S. – School Business Affairs, 2002
Describes how to use demographic studies to project school enrollments. Includes collecting historical enrollment data, contacting the state department of health and vital statistics, selecting an enrollment-projection method, meeting with local planning and construction department officials, determining the age of the community, and performing…
Descriptors: Demography, Elementary Secondary Education, Enrollment Projections
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Grip, Richard S. – Journal of Research in Rural Education, 2004
Large numbers of rural districts have experienced sharp declines in enrollment, unlike their suburban counterparts. Accurate enrollment projections are required, whether a district needs to build new schools or consolidate existing ones. For school districts having more than 600 students, a quantitative method such as the Cohort-Survival Ratio…
Descriptors: School Districts, Rural Schools, 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