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ERIC Number: ED047389
Record Type: RIE
Publication Date: 1971-Feb-5
Pages: 17
Abstractor: N/A
Reference Count: 0
Prediction of Federal Aid Allocations to Local School Districts in Connecticut.
Gustafson, Richard 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)
Publication Type: N/A
Education Level: N/A
Audience: N/A
Language: N/A
Sponsor: N/A
Authoring Institution: N/A
Note: Paper presented at American Educational Research Association Annual Meeting (55th, New York, New York, February 4-7, 1971)