Randomized experiments are often considered the strongest designs to study the impact of educational interventions. Perhaps the most prevalent class of designs used in large scale education experiments is the cluster randomized design in which entire schools are assigned to treatments. In cluster randomized trials (CRTs) that assign schools to…

Immigration and migration to New York City (NYC) collectively create a dynamic population of students. In this brief the authors use a decade of detailed, longitudinal data on NYC's 1st-8th graders to explore both the "stock" of students enrolled and the "flow" of new entrants in each academic year. Together, these paint a…

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. Part I of the paper introduces the concepts, issues, and options involved. Parts II and III present empirical findings…

The No Child Left Behind Act of 2001 calls for 100% proficiency in reading and mathematics by 2014. The mandate thus transforms reading and mathematics into high-stakes subject areas. This quantitative cross-sectional study examined legislated testing mandates in relation to burnout subscales, emotional exhaustion, depersonalization, and personal…