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Chambers, Jay G.; Brodziak, Iliana; Levin, Jesse; Cruz, Lisa – Strategic School Funding for Results, 2011
This Analysis Brief shows how per-pupil spending varies with student poverty (as measured by the percent of students eligible for free or reduced price lunch) across elementary, middle, and high schools in Pasadena Unified School District (PUSD). The authors have carried out separate analyses that make use of the California Standardized Account…
Descriptors: Expenditure per Student, Educational Finance, Resource Allocation, Strategic Planning
Baker, Bruce D.; Ramsey, Matthew J. – Journal of Education Finance, 2010
Over the past few decades, a handful of states have chosen to provide state financing of special education programs through a method referred to as "Census-Based" funding--an approach which involves allocated block-grant funding on an assumed basis of uniform distribution of children with disabilities across school districts. The…
Descriptors: Educational Finance, Financial Support, Special Education, Census Figures

Price, Lydia J. – Multivariate Behavioral Research, 1993
The ability of the NORMIX algorithm to recover overlapping population structures was compared to the OVERCLUS procedure and another clustering procedure in a Monte Carlo study. NORMIX is found to be more accurate than other procedures in recovering overlapping population structure when appropriate implementation options are specified. (SLD)
Descriptors: Algorithms, Classification, Cluster Analysis, Comparative Analysis
Rural America, Inc., Washington, DC. – 1977
Federal statistical services grossly underestimate the size of the farmworker population; as a result, the current federal farmworker programs (CETA, Migrant Education, Migrant Headstart, Farm Labor Housing, and Migrant Health) are unable to identify a total target population in need of services and unable to allocate funds in ways which reflect…
Descriptors: Agricultural Laborers, Census Figures, Classification, Definitions