Thank you for the update, it's pretty! Would it be possible to do something about the loading times?

Thanks :))

A huge thank you to @mmarneweck.bsky.social for hosting me and to @gw4biomeddtp.bsky.social for making this opportunity possible.

I previously got responses (and eventually found a wonderful mathematician collaborator) to a similar query from the HUB of Quantitative Modelling in Exeter
www.exeter.ac.uk/research/qua...

You kind folks in my tiny network – would love it if you could repost!

This study will involve 1) answering some questions about yourself and how you visualise images, and 2) watching videos of objects that are moved by different means and making simple judgements about them.

So the individual p-values don't tell us how big either of those effects are or how different they are from each other so you can’t derive the interaction p-value from them.

I don't think so, because the tiny p-value shows the observed change is very unlikely under the null hypothesis (not that the effect is large), and a larger p-value can mean that there is high variability or low power, not necessarily that there was no change.