Alasdair Clarke
riadsala.bsky.social
Alasdair Clarke
@riadsala.bsky.social
Senior Lecturer at the University of Essex. Works in a psychology department, but mainly teaches statistics and writes models.

I should probably tell you about the book I have coming out next year.
I am currently an ex-member - I got fed up of all the endless calls to strike. I don't see any hope of improvement in the sector until we get a government that values (higher) education.

Perhaps if the UCU shared their counter-proposal, it would encourage disillusioned ex-members (me!) to rejoin.
December 4, 2025 at 8:51 PM
For starters, in the future, do we see our students as campus-based, or commuting (or online)? I don't mind which, but I'm pretty confident that trying to do both will please noone.
December 4, 2025 at 12:46 PM
Where can I find the UCU's Future Plan and alternative (costed?) proposal?
December 4, 2025 at 12:40 PM
One idea I've been thinking about is cutting grid approximation. I'm very unsure though. It would free up time (I only have 10 weeks!), the coding is a bit clunky, and it confuses students.

But if I cut grid approx, my lecture on Probability doesn't connect to anything.
November 17, 2025 at 9:18 AM
Two takeaways: i) yes, your book and module is hard for most students. but ii) students will still find it a struggle even if you make it easier.
November 17, 2025 at 9:11 AM
When I started teaching Bayes, I ran my module as a reading course based on your textbook. Since then, I have reduced the amount of content every year. Yet my current students still tell me it is their hardest module.
November 17, 2025 at 9:10 AM
But, this doesn't work when our students lack the confidence to question the AIs (and who can blame them given the amount of marketting the tech companies are doing)
November 15, 2025 at 6:41 PM
The AIs can give good advice on how they should be used:
November 15, 2025 at 6:40 PM
While this isn't a huge surprise, what I find despressing is how confidently wrong the AIs still are. When asked, they even admit that they're wrong, and that they are likely damaging educational outcomes.
November 15, 2025 at 6:39 PM
This looks interesting, @scienceanna.bsky.social, we should have a read. I wonder if there any connections between this and our work?
November 14, 2025 at 4:16 PM
Coud say the same about psycholigists having a preference for under powered studies.
November 14, 2025 at 1:40 PM
Huh, I wish I had heard that this event was on. Would have loved to have attended.
November 4, 2025 at 11:34 AM
I would be interested to know the extent to which any reviewers ever look at my supplementary materials. (sometimes, based on their comments, it feels like they don't care)

I'm pretty sure the people on the grant panels in charge of handing out the money don't care.

:(
September 17, 2025 at 12:14 PM
in theory, I love all this stuff.

in practise... I have extremely limited resources. My employer doesn't care about this stuff, and neither are any of the academics who peer-review my publications. It feels hard to justify all the time spent on model testing
September 17, 2025 at 10:34 AM
Glad I'm not the only one.
September 13, 2025 at 2:55 PM
Why remove? Well, if none of your models converged, and you misreported your p-values, wouldn't that be a good reason to remove your dep.var. ?
September 8, 2025 at 8:50 AM
The more we looked into this, the worse it looked. But, I doubt anybody cares or anything will be done. [PI from a top uni, paper published in a Nature journal,... makes a mockery of the system]
September 5, 2025 at 5:31 PM
The most recent example we found was one in which the researchers had removed their dep. var. from the repository upon publication.
September 5, 2025 at 2:51 PM
It's still pretty problematic.. I frequently come accross papers in which the authors boast of their open data, but keep their OSF set to private and ignore any requests for access.
September 5, 2025 at 10:32 AM
Should we start a #visualforaging channel?
September 1, 2025 at 10:14 AM