The gold standard in making causal inference on program effects is a randomized trial. Most randomization designs in education randomize classrooms or schools rather than individual students. Such "clustered randomization" designs have one principal drawback: They tend to have limited statistical power or precision. This study aims to…

Mounting pressure in the policy arena to improve teacher productivity either by improving signals that predict teacher performance or through creating incentive contracts based on performance--has spurred two related questions: Are there important determinants of teacher productivity that are not captured by teacher credentials but that can be…

A new report published by the Manhattan Institute for Education Policy, "The Effect of Special Education Vouchers on Public School Achievement: Evidence from Florida's McKay Scholarship Program," attempts to examine the complex issue of how competition introduced through school vouchers affects student outcomes in public schools. The…

Remedial or developmental courses are the most common policy instruments used to assist underprepared postsecondary students who are not ready for college-level coursework. However, despite its important role in higher education and its substantial costs, there is little rigorous evidence on the effectiveness of college remediation on the outcomes…

School and government officials, system administrators and other policymakers offer a variety of reasons for engaging in high stakes testing: to monitor student performance, to measure teacher and/or school effectiveness, to ensure accountability, etc. Some of these reasons are good; others not. But the best reason--one that is never offered,…