These are exactly the right discussions to have IMO, especially when they help us better understand what knowledge we need (and might still be missing) for setting up meaningful, informative tests.

I think the thing that most people struggle with though is how to set that SESOI... @cspaeth.bsky.social and I been chatting about it in this thread (and I give examples of how we've gone about it... though our recent theory prediction + practical SESOI is best I think) bsky.app/profile/cspa...

Yes, in my specific example, we are investigating the "minimal perceived change" using a "global rating of change" as an anchor. So basically a similar approach.

But thank you also for the other recommendations!!! I will have a look!

So (beyond this specific example of anchor-based approaches) I would be happy to see many diverse applied examples on how SESOIs have been reasonably specified in sport and exercise science (if they exist...).

But the literature on the best estimation procedure to validly derive a SESOI based on these anchor-variables is very heterogenous: 
doi.org/10.1016/j.ym...

The most common approach is an anchor-based approach (i.e., using an external anchor/reference variable as a guidance to derive a SESOI), especially for psychological variables that have no natural metric and are measured with Likert-type scales.

doi.org/10.1016/j.je...

For example, I am currently working on determining a SESOI for improvements in affective responses during exercise (hope to submit the paper by the end of the year). ->

Exactly, but as we all know foundational work is not "sexy"... Even if researchers are engaging with the questions how they might be able to empirically specify a SESOI, there are still challenges. ->

Many thanks to Daniel Lakens @lakens.bsky.social and my supervisor Ralf Brand for providing feedback on previous versions of this commentary

But we should also start to discuss best practices for determining SESOIs, maybe by providing more discipline specific examples @jamessteeleii.bsky.social 
 doi.org/10.1080/0264...

The call for specifying SESOIs in sport and exercise sciences has already been made @crist14n.bsky.social doi.org/10.1080/0264...

I am not considering myself a meta-scientist but as a PhD student, I follow meta-scientific discussions to improve my research practices.
This is my humble attempt to summarize previous discussions on severe testing for fellow (German) sport scientist outside the „open science bubble“

It also reminded me of the “stats maven” concept coined by @sanjaysrivastava.com some very long time ago, I believe here? thehardestscience.com/2014/12/04/s...