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Bruno, James E. – Amer Educ Res J, 1969
Descriptors: Educational Finance, Linear Programing, Mathematical Models, Resource Allocation
Phelps, James L.; And Others – 1979
This paper, one of three related documents, explains a model for school finance in Michigan. First, it analyzes where school districts get their money and how they spend it. Next, it details a financial model that identifies the factors related to staff adequacy levels, estimates the strength of those factors, offers ideas for the components of a…
Descriptors: Educational Finance, Income, Job Performance, Mathematical Models
Peer reviewedManser, Marilyn E.; And Others – Simulation and Games, 1970
Descriptors: Educational Finance, Federal Aid, Federal State Relationship, Mathematical Models
Bruno, James E. – 1969
This paper summarizes a recent study of a mathematical approach to the allocation of State resources to local school districts. The purpose of this approach is to (1) assure the maximum utilization of resources available, (2) distribute State funds in accordance with the criteria of effectiveness imposed on the system, and (3) satisfy the…
Descriptors: Cost Effectiveness, Educational Finance, Equalization Aid, Expenditure per Student
Bruno, James E. – 1969
This paper reports a preliminary study on the development of a linear-programing- type model to stimulate a constrained Federal program of educational support to the States. This model determines the distribution of fixed amount funds according to some measure of effectiveness. Federal involvement so far has been in the form of Federal aid that is…
Descriptors: Educational Finance, Equalization Aid, Federal Aid, Mathematical Models
PDF pending restorationCarman, Robert A. – 1971
This document discusses the value of linear programing in finding minimum and maximum solutions to problems of resource allocation. Three models using this technique are given for the areas of educational finance, school district personnel compensation, and instructional program evaluation. (RA)
Descriptors: Educational Finance, Educational Planning, Evaluation, Instructional Programs
Chambers, Jay G. – 1976
This paper provides a clarification of two factors--the differences in pupil need (as reflected by the proportion of disadvantaged or handicapped pupils in a district) and the differences in the prices of school inputs across districts--that affects the cost of educational services and a conceptual framework that may be useful in making welfare…
Descriptors: Cost Indexes, Educational Finance, Educational Technology, Elementary Secondary Education
Peer reviewedJargowsky, Peter; And Others – Journal of Education Finance, 1977
Demonstrates the mathematical equivalence of various school finance equalization formulas, describes the elements that complicate the preparation of a generalized simulation capability, and briefly presents a conceptualization of a generalized simulation model. (JG)
Descriptors: Computer Oriented Programs, Educational Finance, Elementary Secondary Education, Equalization Aid
Peer reviewedBoardman, A. E.; Schinnar, A. P. – Socio-Economic Planning Sciences, 1982
Develops an input-output model, with related multipliers, showing how changes in earmarked and discretionary educational funds (whether local, state, or federal) affect all of a state's districts and educational programs. Illustrates the model with Pennsylvania data and relates it to the usual educational finance approach, which uses demand…
Descriptors: Block Grants, Categorical Aid, Educational Finance, Elementary Secondary Education
Holmer, Freeman – 1976
The Oregon Board of Higher Education approved a revision of its existing budgeting procedure, the result of nearly two years' work. The effort was undertaken because of deeply held concern about both the adequacy of the resources provided and the equity of the distribution of the available funds to the several institutions. It was determined that…
Descriptors: Budgeting, Cost Effectiveness, Cost Estimates, Educational Finance
Wholeben, Brent E.; Sullivan, John M. – 1982
This report provides an extensive discussion of the use of criterion referenced, mathematical modeling procedures to determine which budget reductions minimize reduction in the quality of educational programs. Part I, "Evaluation of Potential Budgeting Roll-backs under Educational Fiscal Crisis," explains the basic design of multiple…
Descriptors: Budgeting, Educational Finance, Elementary Secondary Education, Evaluation Methods
Young, Robert C.; And Others – 1973
The purpose of the paper is to define for potential users of vocational education management information systems a quantitative analysis technique and its utilization to facilitate more effective planning of vocational education programs. Defining linear programming (LP) as a management technique used to solve complex resource allocation problems…
Descriptors: Educational Finance, Educational Planning, Linear Programing, Management Development
Tuscher, Leroy J. – 1973
The purpose of the study was to provide "baseline" data for determining the feasibility of further investigation into the use of quantitive judgmental data in evaluating school programs for determining program budget allocations. The specific objectives were to: 1) Apply a Cost-Utility Model to a "real world" situation in a public secondary…
Descriptors: Cost Effectiveness, Decision Making, Educational Economics, Educational Finance
Spottheim, David; And Others – 1984
This is a summary of a report which presents three models quantifying the relationships between educational means (resources) and ends (pupil achievements) to analyze resource allocation problems within school districts: (1) the Pupil Performance Model; (2) the Goal Programming Model; and (3) the Operational Structure of a School and Pupil…
Descriptors: Academic Achievement, Decision Making, Educational Finance, Educational Objectives
Spottheim, David; And Others – 1984
This report details three models quantifying the relationships between educational means (resources) and ends (pupil achievements) to analyze resource allocation problems within school districts: (1) the Pupil Performance Model; (2) the Goal Programming Model; and (3) the Operational Structure of a School and Pupil Performance Model. These models…
Descriptors: Academic Achievement, Decision Making, Educational Finance, Educational Objectives
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