Understanding non-significant results using equivalence tests

What happens if your test is non-significant? With traditional frequentist inference, it's impossible to know whether a non-significant effect was due to statistical equivalence or insensitive data.

This is a brief introduction to equivalence tests, which allow you to assess whether an effect is statistically equivalent.

Slidedeck available here https://osf.io/x573w/

Видео Understanding non-significant results using equivalence tests канала Daniel Quintana