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Larry L. Orr; Robert B. Olsen; Stephen H. Bell; Ian Schmid; Azim Shivji; Elizabeth A. Stuart – Journal of Policy Analysis and Management, 2019
Evidence-based policy at the local level requires predicting the impact of an intervention to inform whether it should be adopted. Increasingly, local policymakers have access to published research evaluating the effectiveness of policy interventions from national research clearinghouses that review and disseminate evidence from program…
Descriptors: Educational Policy, Evidence Based Practice, Intervention, Decision Making
Hemelt, Steven W.; Schwartz, Nathaniel L.; Dynarski, Susan M. – Journal of Policy Analysis and Management, 2020
Dual-credit courses expose high school students to college-level content and provide the opportunity to earn college credits, in part to smooth the transition to college. With the Tennessee Department of Education, we conduct the first randomized controlled trial of the effects of dual-credit math coursework on a range of high school and college…
Descriptors: Dual Enrollment, College Credits, High School Students, State Departments of Education
Glewwe, Paul; West, Kristine L.; Lee, Jongwook – Journal of Policy Analysis and Management, 2018
More than 20 percent of all school-aged children in the United States have vision problems, and low-income and minority children are disproportionately likely to have unmet vision care needs. Vision screening is common in U.S. schools, but it remains an open question whether screening alone is sufficient to improve student outcomes. We implemented…
Descriptors: Randomized Controlled Trials, Comparative Analysis, Visual Impairments, Screening Tests
Joyce, Ted; Remler, Dahlia K.; Jaeger, David A.; Altindag, Onur; O'Connell, Stephen D.; Crockett, Sean – Journal of Policy Analysis and Management, 2017
Randomized experiments provide unbiased estimates of treatment effects, but are costly and time consuming. We demonstrate how a randomized experiment can be leveraged to measure selection bias by conducting a subsequent observational study that is identical in every way except that subjects choose their treatment--a quasi-doubly randomized…
Descriptors: Randomized Controlled Trials, Quasiexperimental Design, Selection Criteria, Selection Tools
Wing, Coady; Cook, Thomas D. – Journal of Policy Analysis and Management, 2013
The sharp regression discontinuity design (RDD) has three key weaknesses compared to the randomized clinical trial (RCT). It has lower statistical power, it is more dependent on statistical modeling assumptions, and its treatment effect estimates are limited to the narrow subpopulation of cases immediately around the cutoff, which is rarely of…
Descriptors: Regression (Statistics), Research Design, Statistical Analysis, Research Problems