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Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2022
Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…
Descriptors: Academic Achievement, At Risk Students, Prediction, Disadvantaged
Greer, Maureen; Kilpatrick, Jamie; Nelson, Robin; Reid, Kellen – Center for IDEA Early Childhood Data Systems (DaSy), 2014
This document provides an overview of the critical role of fiscal data in state Part C systems. This information is intended to help state Part C lead agency staff better understand strategic fiscal policy questions, the fiscal data elements needed to address those questions, and the benefits of using these data. Fiscal data provide powerful…
Descriptors: Federal Legislation, Educational Legislation, Disabilities, Equal Education
Wilkerson, Judy R. – Quality Assurance in Education: An International Perspective, 2017
Purpose: Understanding and navigating the differences in standards, and the roots and rationales underlying accreditation reviews, is necessary for all institutions that seek multiple accreditations. The purpose of this paper is to demonstrate a method to assist institutional-level leaders and assessment practitioners analyze and align these…
Descriptors: Accreditation (Institutions), Standards, Evaluation Methods, Higher Education
Pigott, Therese D.; Williams, Ryan T.; Polanin, Joshua R.; Wu-Bohanon, Meng-Jia – Society for Research on Educational Effectiveness, 2012
The purpose of this research to investigate the heterogeneity of per-pupil expenditure (PPE) slope estimates in predicting student achievement. The research question guiding this project is: how does the measured relationship between per-pupil expenditure vary across studies that use different models? In concert with SREE's 2012 conference mission…
Descriptors: Productivity, Expenditures, Academic Achievement, Regression (Statistics)
Weston, Margaret – Public Policy Institute of California, 2010
This document presents the technical appendices accompanying the report, "Funding California Schools: The Revenue Limit System." Included are: (1) Revenue Limit Calculation and Decomposition; (2) Data and Methods; and (3) Base Funding Alternative Simulation Results. (Contains 5 tables and 26 footnotes.) [For the main report,…
Descriptors: Income, Educational Finance, Statistical Data, Research Methodology
Lockheed, Marlaine E. – OECD Publishing, 2015
This report provides a systematic review and empirical evidence related to the experiences of middle-income countries and economies participating in the Programme for International Student Assessment (PISA), 2000 to 2015. PISA is a triennial survey that aims to evaluate education systems worldwide by testing the skills and knowledge of 15-year-old…
Descriptors: Socioeconomic Status, Adolescents, Foreign Countries, Developing Nations
Katharaki, Maria; Katharakis, George – International Journal of Educational Research, 2010
In part due to the increased demand for higher education, typical evaluation frameworks for universities often address the key issue of available resource utilisation. This study seeks to estimate the efficiency of 20 public universities in Greece through quantitative analysis (including performance indicators, data envelopment analysis (DEA) and…
Descriptors: Higher Education, Foreign Countries, Human Resources, Comparative Analysis
Kenna, Ralph; Berche, Bertrand – Higher Education Management and Policy, 2012
Smaller universities may produce research which is on a par with larger, elite establishments. This is confirmed by a recently developed mathematical model, supported by data from British and French higher education research-evaluation exercises. The detailed nature of the UK system, in particular, allows quantification of the notion of critical…
Descriptors: Foreign Countries, Higher Education, Mathematical Models, Research Universities
Office of Planning, Evaluation and Policy Development, US Department of Education, 2011
The "Elementary and Secondary Education Act of 1965" ("ESEA") requires that school districts provide services to higher-poverty, Title I schools, from state and local funds, that are at least comparable to services in lower-poverty, non-Title I schools. The current Title I comparability requirement allows school districts to…
Descriptors: Poverty, Public Schools, School Districts, Educational Finance
National Association of Charter School Authorizers (NJ1), 2011
This document contains key questions to consider when evaluating virtual charter school proposals.The insert is designed to help authorizers evaluate school quality and capacity in light of the distinctive attributes of virtual schooling. These questions address major functional areas as well essential questions that authorizers should ask of…
Descriptors: Charter Schools, Proposal Writing, Governance, Students
Shah, Shital C.; Brink, Katrina; London, Rebecca; Masur, Shelly; Quihuis, Gisell – Coalition for Community Schools, 2009
This toolkit is designed to help community schools evaluate their efforts so that they learn from their successes, identify current challenges, and plan future efforts. It provides a step-by-step process for planning and conducting an evaluation at your community school site(s). The toolkit is a practical, hands-on guide that makes it possible for…
Descriptors: Community Schools, Data Collection, Educational Assessment, School Effectiveness
National Archives and Records Administration, 2009
The Secretary of Education (Secretary) establishes requirements, definitions, and approval criteria for the State Fiscal Stabilization Fund (Stabilization or SFSF) program. The Secretary may use one or more of these requirements, definitions, and approval criteria in awarding funds under this program in fiscal year (FY) 2010. These requirements,…
Descriptors: Educational Finance, Resource Allocation, Financial Support, Criteria
Kelly, Anthony; Downey, Christopher – Educational Assessment, Evaluation and Accountability, 2010
Value-added measures can be used to allocate funding to schools, to identify those institutions in need of special attention and to underpin government guidance on targets. In England, there has been a tendency to include in these measures an ever-greater number of contextualising variables and to develop ever-more complex models that encourage…
Descriptors: School Effectiveness, Foreign Countries, Academic Achievement, Educational Finance
Eykamp, Paul W. – New Directions for Institutional Research, 2006
This chapter explores how multiple approaches including data mining can help examine how the lengths of student enrollment are associated with varying numbers of advanced placement units. (Contains 3 tables and 5 figures.)
Descriptors: Time to Degree, Enrollment, Advanced Placement, Educational Finance
Hawkins, Brian L.; Rudy, Julia A. – EDUCAUSE, 2007
EDUCAUSE Core Data Service Fiscal Year 2006 Summary Report summarizes much of the data collected through the 2006 EDUCAUSE core data survey about campus information technology (IT) environments at 933 colleges and universities in the U.S. and abroad. The report presents aggregates of data through more than 100 tables and accompanying descriptive…
Descriptors: Higher Education, Information Systems, Information Technology, Classification