In some fields like psychology, power is more likely to already be 10% or 20% for the majority of studies, and in fact P-hacking and low standards for evidence would be far less harmful if power were higher, because low power leads to inflated effect size estimates. Additionally, power calculations are always just a guess and easy to fudge, so it's pretty much a given that current statistical power would not be maintained with more stringent critical values. See http://andrewgelman.com/2014/11/17/power-06-looks-like-get-u...
So this proposal is really the opposite of pragmatic. Pragmatic would be requiring effect size estimates and confidence intervals in all published papers. It is surprising how many papers will talk about highly significant effects without actually discussing how large the estimated effect is thought to be, which gives authors a lot of leeway when exaggerating the importance of their findings.
So this proposal is really the opposite of pragmatic. Pragmatic would be requiring effect size estimates and confidence intervals in all published papers. It is surprising how many papers will talk about highly significant effects without actually discussing how large the estimated effect is thought to be, which gives authors a lot of leeway when exaggerating the importance of their findings.