Seattle's Small-Area Approach to Forecasting Enrollments at the School Level.
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| Title: | Seattle's Small-Area Approach to Forecasting Enrollments at the School Level. |
|---|---|
| Language: | English |
| Authors: | Bernhardt, Victoria L. |
| Peer Reviewed: | N |
| Page Count: | 29 |
| Publication Date: | 1983 |
| Intended Audience: | Researchers; Administrators; Practitioners |
| Document Type: | Reports - Research Speeches/Meeting Papers |
| Descriptors: | Attendance, Computer Oriented Programs, Declining Enrollment, Educational Facilities Planning, Elementary Secondary Education, Enrollment Projections, Linear Programing, Mathematical Models, Regression (Statistics), Research Methodology, Research Problems, Residential Patterns, School Closing, School Demography, School Desegregation, School Districts, School Holding Power |
| Abstract: | The issues of achieving school desegregation and providing programs for students with special needs, while at the same time facing enrollment declines, have forced school administrators to improve techniques for projecting demand. This paper describes a new procedure that combines forecasting of enrollments and management of facilities and that has been successfully implemented for the Seattle, Washington, Public Schools. The Seattle system prepares its forecasts for a relatively small local unit called the "small planning unit" containing from 50-100 students each. Five-year projections are prepared for each small area, and are then aggregated to prepare forecasts for large geographical areas and for attending schools. Advantages to this approach claimed for planners are that (1) it allows for easier simulation of policy alternatives, (2) small units provide a welcome sensitivity to neighborhood activity, and (3) the use of small-area forecasts allows continuous refinement of the models in response to actual results. Some results are reported that support the planning technique. The mathematical procedures for the forecasting model used with small planning units are in the appendix. (MLF) |
| Entry Date: | 1984 |
| Accession Number: | ED239378 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED239378 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: ED239378 AccessLevel: 3 PubType: Report PubTypeId: report PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Seattle's Small-Area Approach to Forecasting Enrollments at the School Level. – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bernhardt%2C+Victoria+L%2E%22">Bernhardt, Victoria L.</searchLink> – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 29 – Name: DatePubCY Label: Publication Date Group: Date Data: 1983 – Name: Audience Label: Intended Audience Group: Audnce Data: Researchers; Administrators; Practitioners – Name: TypeDocument Label: Document Type Group: TypDoc Data: Reports - Research<br />Speeches/Meeting Papers – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Attendance%22">Attendance</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Oriented+Programs%22">Computer Oriented Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Declining+Enrollment%22">Declining Enrollment</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Facilities+Planning%22">Educational Facilities Planning</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+Secondary+Education%22">Elementary Secondary Education</searchLink><br /><searchLink fieldCode="DE" term="%22Enrollment+Projections%22">Enrollment Projections</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+Programing%22">Linear Programing</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+Models%22">Mathematical Models</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+%28Statistics%29%22">Regression (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Methodology%22">Research Methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Problems%22">Research Problems</searchLink><br /><searchLink fieldCode="DE" term="%22Residential+Patterns%22">Residential Patterns</searchLink><br /><searchLink fieldCode="DE" term="%22School+Closing%22">School Closing</searchLink><br /><searchLink fieldCode="DE" term="%22School+Demography%22">School Demography</searchLink><br /><searchLink fieldCode="DE" term="%22School+Desegregation%22">School Desegregation</searchLink><br /><searchLink fieldCode="DE" term="%22School+Districts%22">School Districts</searchLink><br /><searchLink fieldCode="DE" term="%22School+Holding+Power%22">School Holding Power</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The issues of achieving school desegregation and providing programs for students with special needs, while at the same time facing enrollment declines, have forced school administrators to improve techniques for projecting demand. This paper describes a new procedure that combines forecasting of enrollments and management of facilities and that has been successfully implemented for the Seattle, Washington, Public Schools. The Seattle system prepares its forecasts for a relatively small local unit called the "small planning unit" containing from 50-100 students each. Five-year projections are prepared for each small area, and are then aggregated to prepare forecasts for large geographical areas and for attending schools. Advantages to this approach claimed for planners are that (1) it allows for easier simulation of policy alternatives, (2) small units provide a welcome sensitivity to neighborhood activity, and (3) the use of small-area forecasts allows continuous refinement of the models in response to actual results. Some results are reported that support the planning technique. The mathematical procedures for the forecasting model used with small planning units are in the appendix. (MLF) – Name: DateEntry Label: Entry Date Group: Date Data: 1984 – Name: AN Label: Accession Number Group: ID Data: ED239378 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 29 Subjects: – SubjectFull: Attendance Type: general – SubjectFull: Computer Oriented Programs Type: general – SubjectFull: Declining Enrollment Type: general – SubjectFull: Educational Facilities Planning Type: general – SubjectFull: Elementary Secondary Education Type: general – SubjectFull: Enrollment Projections Type: general – SubjectFull: Linear Programing Type: general – SubjectFull: Mathematical Models Type: general – SubjectFull: Regression (Statistics) Type: general – SubjectFull: Research Methodology Type: general – SubjectFull: Research Problems Type: general – SubjectFull: Residential Patterns Type: general – SubjectFull: School Closing Type: general – SubjectFull: School Demography Type: general – SubjectFull: School Desegregation Type: general – SubjectFull: School Districts Type: general – SubjectFull: School Holding Power Type: general Titles: – TitleFull: Seattle's Small-Area Approach to Forecasting Enrollments at the School Level. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bernhardt, Victoria L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Type: published Y: 1983 |
| ResultId | 1 |