Unfortunately, I don't have much time for additional meetings currently. One major point of user friction IMO:

Your bread crumbs are uninformative (and unlinked). Given that the sidebar on the left is also generic, users do not know where they are and have no easy way to navigate repositories.

… so glad I ran 20 experiments this time!

If your p-value remains stubbornly above 0.05, there are some creative ways to describe that as well, see this blog post: mchankins.wordpress.com/2013/04/21/s...

Well, that's nothing! My p-value is 0.000!

it is on paper, but so illusive in reality. I have yet to find a theoretically justifiable SESOI for my research. So please share resources because I plan to discuss the concept with my students soon!

interesting. thanks for sharing. What is your experience in terms of engagement with the material and developed competency. It looks like I could get away with writing good reflections without having learned terribly much!? One challenge for me is ensuring continued engagement through the semester

👀

@bodowinter.bsky.social @casillas.bsky.social @scoretta.bsky.social for example?

haha amazing

you mean for each study? or simulate Type-1 errors with fixed assumptions about beta, sd, and sigma?

haha poor choice of wording on my part, Matt. But I do think the language we use is unhealthily certain (generally, but especially) when its based on a flimsy p-value generated by an anti-conservative model.

I mean this is great, but does sound like quite a bit of overhead. The jump to brms is really tiny if you ask me. Sensible defaults on priors and the same syntax as lme4. Maybe one rainy afternoon when you feel like learning a new trick? ;)

I think most people are very much aware of the issue, but I think the language we then use to report our results does not reflect that massive uncertainty that should come with not accounting for relevant variance components.