Power and More Power (Testing)

Power and sample-size calculations are an important part of planning a scientific study. In addition, too often papers that report (perhaps unexpected) null results do not take the next step and assess the possibility that any null results may be ascribed to an underpowered sample. While simple power tests are understood by many (click here for an inventory; click here for a helpful general intro video), power testing for more complex empirical specifications are not. A recent entry (the first of a series) on the Stata Blog (here) walks readers through power testing for more sophisticated modeling.