Award Date

1-1-1996

Degree Type

Dissertation

Degree Name

Doctor of Education (EdD)

Department

Educational Leadership

Number of Pages

110

Abstract

The purpose of this study was to develop an intradistrict allocation funding model. An extension of research methodology using an index-of-need as a proxy for the magnitude of educational need, this study identified indicators-of-need from the research literature and as present in 31 middle schools in Clark County School District, Las Vegas, Nevada. A neural net analysis categorized schools based on their indicator-of-need variables. Six variables were the basis for the index development: student poverty level, transiency rate, limited English proficiency (LEP) student enrollment, special education student enrollment, percentage of minority enrollment, and percentage of students eligible for Title I services. Schools were clustered in four groups based on the Kohonen neural network analysis. A backpropagation network analysis evaluated the categories to produce a hierarchical index of schools ranked from lowest to highest need. Simulated budget and staffing allocations were based on the derived index and the redistributive effects analyzed. The index-based methodology provided a viable methodology for intradistrict allocation of resources based on a vertical equity standard.

Keywords

Allocation; Equity; Funding; Intradistrict; Methodology; Proposed; Resources; Funding

Controlled Subject

Education--Finance

File Format

pdf

File Size

2836.48 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

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Rights

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