Chelsea Kisil
@chelseakisil.bsky.social
McGill MA Educational Psychology Learning Sciences in eMuis and MILES labs; Focused on understanding how emotions can help and hinder student self-reg'd learning; RPs ≠ endorsements
As I child, I anticipated more struggles against quicksand and how I'd fare leaving full-body holes in doors as I ran out of rooms. I did not anticipate struggling to get everyone on board with the reality-ness of reality
November 13, 2025 at 9:14 PM
As I child, I anticipated more struggles against quicksand and how I'd fare leaving full-body holes in doors as I ran out of rooms. I did not anticipate struggling to get everyone on board with the reality-ness of reality
Starbuckses? Starbucksi?
November 12, 2025 at 5:00 PM
Starbuckses? Starbucksi?
One of the (many) pros about my partner is his interest in philosophy of science and his ability to give me succinct updates about it without me having to do the heavy lifting right now!
November 10, 2025 at 5:24 PM
One of the (many) pros about my partner is his interest in philosophy of science and his ability to give me succinct updates about it without me having to do the heavy lifting right now!
Oh that makes me feel ill
November 7, 2025 at 1:19 AM
Oh that makes me feel ill
This is so cool! Part of why I love watching sports is the little boost of motivation I get from watching other people exert themselves in such a visual, tangible (?) way. Good for your student!!!!
November 5, 2025 at 4:15 PM
This is so cool! Part of why I love watching sports is the little boost of motivation I get from watching other people exert themselves in such a visual, tangible (?) way. Good for your student!!!!
This made me giggle aloud in the library! Looking forward to it
November 3, 2025 at 3:42 PM
This made me giggle aloud in the library! Looking forward to it
Reposted by Chelsea Kisil
Reposted by Chelsea Kisil
And that's why I think this is an example of endemic problems in our field. So much of the field thinks of stats as an afterthought. A technicality. The thing you use to tell your story. But if you use faulty heuristics to evaluate the quality of your model, your story could be complete bullshit.
October 30, 2025 at 6:59 PM
And that's why I think this is an example of endemic problems in our field. So much of the field thinks of stats as an afterthought. A technicality. The thing you use to tell your story. But if you use faulty heuristics to evaluate the quality of your model, your story could be complete bullshit.
Reposted by Chelsea Kisil
So, here's how this ECR was failed by their mentors, peer reviewers, and action editor: *Someone* should have known that (a) the model design all but guarantees a good fit and (b) the sample size basically precludes the use of p values for evaluating coefficients. You need to look at effect size.
October 30, 2025 at 6:59 PM
So, here's how this ECR was failed by their mentors, peer reviewers, and action editor: *Someone* should have known that (a) the model design all but guarantees a good fit and (b) the sample size basically precludes the use of p values for evaluating coefficients. You need to look at effect size.
Reposted by Chelsea Kisil
But here's, the thing, p values and significance become useless at such large sample sizes. When you're dividing the coefficient by the SE and the sample size is in the tens of thousands, EVERYTHING IS SIGNIFICANT. All you're testing is whether the coefficient is different than zero.
October 30, 2025 at 6:59 PM
But here's, the thing, p values and significance become useless at such large sample sizes. When you're dividing the coefficient by the SE and the sample size is in the tens of thousands, EVERYTHING IS SIGNIFICANT. All you're testing is whether the coefficient is different than zero.
"Interrogating notions of rigor" is also just such an awesome line
October 28, 2025 at 3:37 PM
"Interrogating notions of rigor" is also just such an awesome line