Conceptual and Statistical Knowledge

 

With Low Power Comes Low Credibility? Toward a Principled Critique of Results From Underpowered Tests

Researchers should be motivated to adequately power statistical tests because tests with low power have a low probability of detecting true effects. However, it is also often claimed that significant results obtained by underpowered tests are less …

You Cannot Step Into the Same River Twice: When Power Analyses Are Optimistic

Statistical power depends on the size of the effect of interest. However, effect sizes are rarely fixed in psychological research: Study design choices, such as the operationalization of the dependent variable or the treatment manipulation, the …