Developments in School Finance, 1997: Fiscal Proceedings from the Annual State Data Conference, July 1997This document contains papers from the Annual State Data Conference and includes the following: (1) "Does Money Matter for Minority and Disadvantaged Students? Assessing the New Empirical Evidence" (David Grissmer, Ann Flanagan, and Stephanie Williamson), which demonstrates that additional money matters for minority and disadvantaged students, but may not matter for highly advantaged students; (2) "Rethinking the Allocation of Teaching Resources: Some Lessons from High Performing Schools" (Karen Hawley Miles and Linda Darling-Hammond), which shows how five schools support extraordinarily high student achievement by reallocating instructional resources to maximize individual attention for students and learning time for teachers; (3) "Financing Education in the District of Columbia from the Perspective of the Financial Authority" (Joyce Ladner), which describes the District of Columbia Financial Authority efforts to revamp the area's failing schools; (4) "Does Money Matter? An Empirical Study Introducing Resource Costs and Student Needs to Educational Production Function Analysis" (Corrine Taylor), which shows that geographic cost variations and special-needs student costs do not appreciably affect per student expenditures; (5) "School District Expenditures, School Resources and Student Achievement: Modeling the Production Function" (Harold Wenglinsky), which uses hierarchical linear modeling to show that expenditures on instruction and central-office administration affect teacher-student ratios, which, in turn, affect student achievement; (6) "The Development of School Finance Formulas To Guarantee the Provision of Adequate Education of Low-Income Students" (Andrew Reschovsky and Jennifer Imazeki), which explores the quandary of developing an equitable school finance formula; two "cutting-edge" papers, (7) "Using Cost and Need Adjustments To Improve the Measurement of School Finance Equity" (Lauri Peternick, Becky A. Smerdon, William Fowler, Jr., and David H. Mou); and (8) "A Proposal for Collecting School-Level Resource Data on the Schools and Staffing Survey" (Julia B. Isaacs, Michael S. Garet, and Stephen P. Broughman), examine effects of applying geographic-cost adjustments and student-need adjustments to traditional equity measures. (Most papers include several references.) (MLH) |
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Page 106
... administration PPE School administration PPE Academic achievement Capital outlays PPE School environment Socio - economic status ( SES ) SOURCE : Wenglinsky , unpublished . Research has shown that expenditures are typically invested in ...
... administration PPE School administration PPE Academic achievement Capital outlays PPE School environment Socio - economic status ( SES ) SOURCE : Wenglinsky , unpublished . Research has shown that expenditures are typically invested in ...
Page 113
... administration PPE School administration PPE Capital outlays PPE School environment Academic achievement Socio - economic status ( SES ) SOURCE : Wenglinsky , unpublished . To confirm this set of findings , goodness of fit was measured ...
... administration PPE School administration PPE Capital outlays PPE School environment Academic achievement Socio - economic status ( SES ) SOURCE : Wenglinsky , unpublished . To confirm this set of findings , goodness of fit was measured ...
Page 120
... Administration Per - pupil Expenditures : Derived from data in CCD for Fiscal Year 1992 . Calculated by dividing total expenditures on cen- tral administration , as defined in CCD , for each school district by the number of students in ...
... Administration Per - pupil Expenditures : Derived from data in CCD for Fiscal Year 1992 . Calculated by dividing total expenditures on cen- tral administration , as defined in CCD , for each school district by the number of students in ...
Contents
Foreword | 1 |
Some Lessons From | 31 |
Financing Education in the District of Columbia from the Perspective | 59 |
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academic administration allocation analysis Assessment average cation Center for Education class sizes classroom coefficient Cost Adjusted cost of education CPESS Darling-Hammond Data CCD data set DCPS dents developed dollars educa education finance Education Statistics education students Educational Research effects equity estimates foundation formula Fowler gains Gini coefficient grade Hanushek high school higher housing unit value increase indices LISREL Lorenz curve mathematics measure median household income Median housing unit ment NAEP National Center NCES Needs Adjusted Needs and Cost per-pupil expenditures percent production function programs public schools pupil r-square regressions regular education relationship Rosemont SASS school districts school expenditures School Finance school resources school-level SOURCE special education special-needs students spending staff staffing standard deviation student achievement student needs studies teacher salaries teacher-student ratios teaching test scores tion tional tricts U.S. Department University of Wisconsin-Madison variables variations Wenglinsky York City