Statistical procedures that correct for multiple testing typically result in hypothesis tests with reduced statistical power because adjustment methods reduce the likelihood of identifying real differences between contrasted groups. There is disagreement among researchers about the use of...

In social policy evaluations, the multiple testing problem occurs due to the many hypothesis tests typically conducted across multiple outcomes and subgroups, which can lead to spurious impact findings. This article discusses a framework that balances Types I and II errors for addressing this...