GOODMAN: When You’re Selecting Significant Findings, You’re Selecting Inflated Estimates

Replication researchers cite inflated effect sizes as a major cause of replication failure. It turns out this is an inevitable consequence of significance testing. The reason is simple. The p-value you get from a study depends on the observed effect…

Read More