{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/39233"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/39233","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Multivariate analysis of equity in public elementary and secondary school finance","abstract":"This study approached the concept of equity in public elementary and secondary school finance as a complex, multi-variable phenomena. The purpose of this study was to develop a procedure for determining whether or not an equitable distribution of current expenditure per pupil in a state had been achieved based upon the interrelationships of multiple fiscal, non-fiscal school and community variables, and pupil output measures. Six orthogonal factors, derived from principal components analysis and varimax rotation of 24 school and community variables from 131 Virginia school districts during the 1987-88 school year, became the independent variables in multiple regression analysis with school finance data and student output data as the dependent variables. Community Type, Fiscal Capacity, and Economic Composition of a District Population accounted for 61% of the variability in current expenditure per pupil and 63% of the variability in the percentage of students planning to attend a four year college. Over 70% of the variability in Achievement Test Scores was accounted for by Black Family Structure, Fiscal Capacity, Economic Composition of a District Population, and Community Type characteristics.","abstract_html":"This study approached the concept of equity in public elementary and secondary school finance as a complex, multi-variable phenomena. The purpose of this study was to develop a procedure for determining whether or not an equitable distribution of current expenditure per pupil in a state had been achieved based upon the interrelationships of multiple fiscal, non-fiscal school and community variables, and pupil output measures. Six orthogonal factors, derived from principal components analysis and varimax rotation of 24 school and community variables from 131 Virginia school districts during the 1987-88 school year, became the independent variables in multiple regression analysis with school finance data and student output data as the dependent variables. Community Type, Fiscal Capacity, and Economic Composition of a District Population accounted for 61% of the variability in current expenditure per pupil and 63% of the variability in the percentage of students planning to attend a four year college. 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