School Improvement Grants in Ohio: Effects on Student Achievement and School Administration
The federal School Improvement Grant (SIG) program allocated US$7 billion over nearly a decade in an effort to produce rapid and lasting improvements in schools identified as low performing. In this article, we use a regression discontinuity design to estimate the effect of Ohio's SIG turnaroun...
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Veröffentlicht in: | Educational evaluation and policy analysis 2018-09, Vol.40 (3), p.287-315 |
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description | The federal School Improvement Grant (SIG) program allocated US$7 billion over nearly a decade in an effort to produce rapid and lasting improvements in schools identified as low performing. In this article, we use a regression discontinuity design to estimate the effect of Ohio's SIG turnaround efforts on student achievement and school administration. The results indicate that Ohio's SIG program significantly increased reading and math achievement, with effects in both subjects of up to 0.20 standard deviations in the second year after SIG eligibility identification. Estimates for the third year are somewhat larger, in the range of one quarter of a standard deviation. We provide evidence that these effects were primarily attributable to schools that implemented the SIG Turnaround model. We also show that SIG eligibility had a positive effect on per-pupil spending, but no average effect on administrative outcomes, including staff turnover, the number of staff members in the school, and school closure. These null overall effects mask heterogeneity across SIG models, however. Most notably, Turnaround schools experienced more turnover than they otherwise would have, whereas Transformation schools experienced less. |
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In this article, we use a regression discontinuity design to estimate the effect of Ohio's SIG turnaround efforts on student achievement and school administration. The results indicate that Ohio's SIG program significantly increased reading and math achievement, with effects in both subjects of up to 0.20 standard deviations in the second year after SIG eligibility identification. Estimates for the third year are somewhat larger, in the range of one quarter of a standard deviation. We provide evidence that these effects were primarily attributable to schools that implemented the SIG Turnaround model. We also show that SIG eligibility had a positive effect on per-pupil spending, but no average effect on administrative outcomes, including staff turnover, the number of staff members in the school, and school closure. These null overall effects mask heterogeneity across SIG models, however. 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Most notably, Turnaround schools experienced more turnover than they otherwise would have, whereas Transformation schools experienced less.</description><subject>Academic Achievement</subject><subject>Closure</subject><subject>Educational Facilities Improvement</subject><subject>Educational Improvement</subject><subject>Eligibility</subject><subject>Employee turnover</subject><subject>Expenditure per Student</subject><subject>Expenditures</subject><subject>Faculty Mobility</subject><subject>Federal Aid</subject><subject>Government grants</subject><subject>Grants</subject><subject>Heterogeneity</subject><subject>Management</subject><subject>Mathematics Achievement</subject><subject>Program Effectiveness</subject><subject>Reading Achievement</subject><subject>School Administration</subject><subject>School Closing</subject><subject>School Turnaround</subject><subject>Schools</subject><issn>0162-3737</issn><issn>1935-1062</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNp9kM1Lw0AQxRdRsFbvXoSAeIzO7CbZjbdSaq0UeqiePITNftiUNlt3U8H_3oQUFQ_OZWHeb96bHUIuEW4ZAr0DzCjjjKPgGVAUR2SAOUtjhIwek0Enx51-Ss5CWENbnNMBeV2qlXObaLbdefdhtqZuoqmXdROiqo4Wq8rdRxNrjWobro6WzV53yEitKnPAZa2jg8tIb6u6Co2XTeXqc3Ji5SaYi8M7JC8Pk-fxYzxfTGfj0TxWLMMmLnWukiTVgimNtDSlYu1qRkOpVYoSAZjMpOXMWJ5m1lKurYK8BC0E5FiyIbnufdsvvO9NaIq12_u6jSwoCMwhAUxaCnpKeReCN7bY-Wor_WeBUHQnLP6esB256keMr9Q3PnlCFJkAbPW414N8Mz-h__jd9Pw6NM7_zqcMeJGkVCDmlH0BOi-Fow</recordid><startdate>20180901</startdate><enddate>20180901</enddate><creator>Carlson, Deven</creator><creator>Lavertu, Stéphane</creator><general>SAGE Publishing</general><general>SAGE Publications</general><general>American Educational Research Association</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TQ</scope><scope>DHY</scope><scope>DON</scope></search><sort><creationdate>20180901</creationdate><title>School Improvement Grants in Ohio: Effects on Student Achievement and School Administration</title><author>Carlson, Deven ; Lavertu, Stéphane</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-bd9c445d83cd12bebc3772ed0bdc51a1003a6af73ef756ff27dfc09b0d88091b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Academic Achievement</topic><topic>Closure</topic><topic>Educational Facilities Improvement</topic><topic>Educational Improvement</topic><topic>Eligibility</topic><topic>Employee turnover</topic><topic>Expenditure per Student</topic><topic>Expenditures</topic><topic>Faculty Mobility</topic><topic>Federal Aid</topic><topic>Government grants</topic><topic>Grants</topic><topic>Heterogeneity</topic><topic>Management</topic><topic>Mathematics Achievement</topic><topic>Program Effectiveness</topic><topic>Reading Achievement</topic><topic>School Administration</topic><topic>School Closing</topic><topic>School Turnaround</topic><topic>Schools</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carlson, Deven</creatorcontrib><creatorcontrib>Lavertu, Stéphane</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><collection>PAIS Index</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><jtitle>Educational evaluation and policy analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Carlson, Deven</au><au>Lavertu, Stéphane</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1186801</ericid><atitle>School Improvement Grants in Ohio: Effects on Student Achievement and School Administration</atitle><jtitle>Educational evaluation and policy analysis</jtitle><date>2018-09-01</date><risdate>2018</risdate><volume>40</volume><issue>3</issue><spage>287</spage><epage>315</epage><pages>287-315</pages><issn>0162-3737</issn><eissn>1935-1062</eissn><abstract>The federal School Improvement Grant (SIG) program allocated US$7 billion over nearly a decade in an effort to produce rapid and lasting improvements in schools identified as low performing. In this article, we use a regression discontinuity design to estimate the effect of Ohio's SIG turnaround efforts on student achievement and school administration. The results indicate that Ohio's SIG program significantly increased reading and math achievement, with effects in both subjects of up to 0.20 standard deviations in the second year after SIG eligibility identification. Estimates for the third year are somewhat larger, in the range of one quarter of a standard deviation. We provide evidence that these effects were primarily attributable to schools that implemented the SIG Turnaround model. We also show that SIG eligibility had a positive effect on per-pupil spending, but no average effect on administrative outcomes, including staff turnover, the number of staff members in the school, and school closure. These null overall effects mask heterogeneity across SIG models, however. Most notably, Turnaround schools experienced more turnover than they otherwise would have, whereas Transformation schools experienced less.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publishing</pub><doi>10.3102/0162373718760218</doi><tpages>29</tpages></addata></record> |
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subjects | Academic Achievement Closure Educational Facilities Improvement Educational Improvement Eligibility Employee turnover Expenditure per Student Expenditures Faculty Mobility Federal Aid Government grants Grants Heterogeneity Management Mathematics Achievement Program Effectiveness Reading Achievement School Administration School Closing School Turnaround Schools |
title | School Improvement Grants in Ohio: Effects on Student Achievement and School Administration |
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