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This paper provides a detailed discussion of the theory and practice of modern regression discontinuity. It describes how regression discontinuity analysis can provide valid and reliable estimates of general causal effects and of the specific effects of a particular treatment on outcomes for particular persons or groups.
This paper provides practical guidance for researchers who are designing studies that randomize groups to measure the impacts of educational interventions.
Empirical Guidance for Studies That Randomize Schools to Measure the Impacts of Educational Interventions
This paper examines how controlling statistically for baseline covariates (especially pretests) improves the precision of studies that randomize schools to measure the impacts of educational interventions on student achievement.
New Directions in Evaluations of American Welfare-to-Work and Employment Initiatives
Methodological Lessons from an Evaluation of Accelerated Schools
The Effects of Program Management and Services, Economic Environment, and Client Characteristics
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