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Direct linkPane, John F.; Baird, Matthew – RAND Corporation, 2014
The purpose of this document is to describe the methods RAND used to analyze achievement for 23 personalized learning (PL) schools for the 2012-13 through 2013-14 academic years. This work was performed at the request of the Bill & Melinda Gates Foundation (BMGF), as part of a multi-year evaluation contract. The 23 schools were selected from a…
Descriptors: Individualized Instruction, Outcome Measures, Academic Achievement, Achievement Gains
Karoly, Lynn A.; Zellman, Gail L. – RAND Corporation, 2012
In 2010, the California Early Learning Quality Improvement System (CAEL QIS) Advisory Committee recommended a structure for a voluntary quality rating and improvement system (QRIS) that could apply to the state's 11,000 licensed centers and 36,600 licensed family child care homes (FCCHs). The proposed design consisted of an unweighted block system…
Descriptors: Child Care, Child Care Centers, Advisory Committees, Rating Scales
Grant, Jonathan; Brutscher, Philipp-Bastian; Kirk, Susan Ella; Butler, Linda; Wooding, Steven – RAND Corporation, 2010
In February 2009, the Higher Education Funding Council for England (HEFCE) commissioned RAND Europe to review approaches to evaluating the impact of research as part of their wider work programme to develop new arrangements for the assessment and funding of research--referred to as the Research Excellence Framework (REF). The objectives were 1) to…
Descriptors: Higher Education, Research Utilization, Scoring, Foreign Countries
McCaffrey, Daniel F.; Lockwood, J. R.; Koretz, Daniel M.; Hamilton, Laura S. – RAND Corporation, 2003
Value-added modeling (VAM) to estimate school and teacher effects is currently of considerable interest to researchers and policymakers. Recent reports suggest that VAM demonstrates the importance of teachers as a source of variance in student outcomes. Policymakers see VAM as a possible component of education reform through improved teacher…
Descriptors: Educational Change, Accountability, Inferences, Models
