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Karoly, Lynn A.; Cannon, Jill S.; Gomez, Celia J.; Whitaker, Anamarie A. – RAND Corporation, 2021
There is strong evidence that children who attend high-quality pre-kindergarten (pre-K) programs learn skills that benefit them in school and life. The price tag of most private programs puts them out of reach for some families, however. In response, many states and school districts fund pre-K programs to expand opportunities for their youngest…
Descriptors: Preschool Education, Public Education, Costs, Expenditure per Student
Karoly, Lynn A.; Cannon, Jill S.; Gomez, Celia J.; Whitaker, Anamarie A. – RAND Corporation, 2021
States and localities throughout the United States are expanding their investments in pre-kindergarten (pre-K) programs. Although spending on publicly funded pre-K programs is well documented, relatively less is known about the true cost to deliver the programs, especially considering varying quality standards and accounting for the resources used…
Descriptors: Preschool Education, Public Education, Costs, Expenditure per Student
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Bush-Mecenas, Susan; Schweig, Jonathan; Opfer, V. Darleen – RAND Corporation, 2022
Social labs have recently been gaining traction in a wide range of sectors internationally, and have been applied to many complex social problems, including food system security, poverty and labour market revitalisation. Social labs convene participants to collaborate and work collectively on developing prototypes that are iteratively refined and…
Descriptors: Foreign Countries, Laboratories, Program Evaluation, Program Implementation
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