Prediction of Federal Aid Allocations to Local School Districts in Connecticut / Richard A. Gustafson.

The purpose of the research was to determine which community characteristics, among the 29 studied, were statistically most useful as predictors of per-pupil Federal aid to the 169 school districts of Connecticut. Three regression models were developed using community traits as predictors of Federal...

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Bibliographic Details
Main Author: Gustafson, Richard A.
Language:English
Published: [Place of publication not identified] : Distributed by ERIC Clearinghouse, 1971.
Subjects:
Physical Description:17 pages
Format: Microfilm Book

MARC

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520 |a The purpose of the research was to determine which community characteristics, among the 29 studied, were statistically most useful as predictors of per-pupil Federal aid to the 169 school districts of Connecticut. Three regression models were developed using community traits as predictors of Federal aid allocations. Community characteristics reflecting need -- as defined by law -- were found to be the best predictors in all three models. A judged rating of the town's organization and aggressiveness in the pursuit of Federal funds was also a significant predictor. Multiple correlation coefficients for all models were significant at the .01 level, and cross validation indicated little shrinkage. (Author) 
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