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Ahn, June; McEachin, Andrew – Educational Researcher, 2017
We utilize state data of nearly 1.7 million students in Ohio to study a specific sector of online education: K-12 schools that deliver most, if not all, education online, lack a brick-and-mortar presence, and enroll students full-time. First, we explore e-school enrollment patterns and how these patterns vary by student subgroups and geography.…
Descriptors: Charter Schools, Enrollment Rate, Enrollment Trends, Online Courses
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Ziswiler, Korrin M.; De Luca, Barbara; Stedrak, Luke J. – Educational Considerations, 2013
Although there exists a large body of research concerning the relationship between expenditure and student achievement, a lack of research exists analyzing this relationship as it pertains specifically to students with disabilities. Given the increasing fiscal and academic pressures districts face to allocate resources efficiently, the purpose of…
Descriptors: Expenditures, Federal Programs, Educational Indicators, Special Needs Students
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De Luca, Barbara M.; Hinshaw, Steven A. – Educational Considerations, 2013
The purpose of this research was to investigate the role of school district expenditures in predicting student achievement in Ohio for the school year 2009-2010. Building upon the concept of the "65 percent solution," the research questions that guided this study were: (1) What percentage of Ohio's school district's operating budgets…
Descriptors: Academic Achievement, Predictor Variables, Predictive Validity, Expenditures
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Lee, Hea-Jin; Ozgun-Koca, S. Asli; Cristol, Dean – Current Issues in Education, 2011
This study investigates the effectiveness of the Ohio High School Transformation Initiative using several years of state data on attendance, graduation, dropout rates, and performance index scores. Results indicate differences between small schools or small learning communities, and traditional schools that have similar school profiles to small…
Descriptors: Traditional Schools, Small Schools, Graduation Rate, Dropout Rate
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Cohen, Matthew C. – Journal of Education Finance, 1997
Examines pitfalls in analyzing school-level data, particularly expenditure data. Examples come from Ohio's experience with creating usable data structures for examining school-level information, aided by a statewide, complex, multipurpose Education Management Information System (EMIS). Since districts can choose different reporting software…
Descriptors: Data Collection, Educational Policy, Elementary Secondary Education, Expenditures