This paper provides practical guidance for researchers who are designing studies that randomize groups to measure the impacts of educational interventions.
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.
Will the Past Be Prologue?
In remarks given at a conference sponsored by the U.S. Department of Labor’s Employment and Training Administration, MDRC President Gordon Berlin looks at the extraordinary challenges the current labor market presents to employment policy generally and WIA reauthorization specifically, outlines what we have (and haven’t) learned from research, and makes recommendations for future directions.
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.