Doctor of Education (EdD)
Number of Pages
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.
Allocation; Equity; Funding; Intradistrict; Methodology; Proposed; Resources; Funding
University of Nevada, Las Vegas
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Miller-DeFrancesco, Susan J, "Intradistrict equity: A proposed methodology for resource allocation" (1996). UNLV Retrospective Theses & Dissertations. 3013.
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