Dr Mircea Zloteanu ☀️ 🌊🌴
@mzloteanu.bsky.social
3K followers 660 following 1K posts
Lecturer Psych & Crim @kingscollegelondon.bsky.social | Deception Detection; Emotions; JDM | Open Science; R; Bayes | @ukrepro ReproTea & StatsTea | #statstab | 🇷🇴 🇬🇧🌍 Stats blog: https://mzloteanu.substack.com/
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mzloteanu.bsky.social
Nice plots! BTW, would you consider expanding the section on measures of bias? I've found these to be hardest to parse when reading old articles as dif authors use dif symbols and terms for the same thing (or vice versa). Even a sup. doc with the different ones and R code would be super useful.
mzloteanu.bsky.social
When do you guys just stop a model? I'm feeling a lot of sunken cost here and want to keep going...

(first time running a Dirichlet family model)
mzloteanu.bsky.social
Also, most theories do not have that level of complexity to permit adding moderators so easily. At least not in psych.
mzloteanu.bsky.social
I'm not surprised to see anything in pnas (iykyk) :p

Adding a moderator shifts you from ATE to a CATE. That may not be your original question. If it is, then fine.

But, adding lots of moderators increases the prob that at least one sub-group shows *something*, even if spurious.
mzloteanu.bsky.social
This is what I find awesome (in the truest sense) about scientific development in the modern age. One group posts a new technique and within a few days it is implemented by others. #rstats is magic (and efficient)
pgmj.bsky.social
This is really neat. I have borrowed the reliability() function to my `easyRasch` package, and use plausible values instead of fully Bayesian estimation to produce similar estimates/CIs, see code example below. RMU point estimates are similar to EAP reliability.

pgmj.github.io/easyRasch/re...
bignardi.bsky.social
New preprint with @rogierk.bsky.social @paulbuerkner.com - we introduce "relative measurement uncertainty" - a reliability estimation method that's applicable across a broad class of Bayesian measurement models (e.g., generative-, computational- and item response theory-models osf.io/h54k8
mzloteanu.bsky.social
Is it the reliability of per person d-prime estimate? (I am out of cognitive energy for the week)
mzloteanu.bsky.social
Would these be useful for our SDT model? Could it be used to say something new?
mzloteanu.bsky.social
#statstab #435 Guide to understanding the intuition behind the Dirichlet distribution

Thoughts: Useful for composite proportions, but take ages in brms.

#brms #Dirichlet #proportions #modelling #rstats #r #betareg

www.andrewheiss.com/blog/2023/09...
Guide to understanding the intuition behind the Dirichlet distribution | Andrew Heiss
Learn about the Dirichlet distribution and explore how it’s just a fancier version of the Beta distribution
www.andrewheiss.com
mzloteanu.bsky.social
R: How many cores do you want to use?
Me: Yes.

#R #brms #bayesian #rstats
mzloteanu.bsky.social
To be more precise (although I haven't spent much on the paper): heterogeneity and confounding aren't the same. Moderators help with the former. However they also change your Estimand. I don't like that as a solution.
mzloteanu.bsky.social
If you are an experimental researcher and can randomize the this is unnecessary. Most often the Obs study ppl and the experimental ppl don't talk to each other.
mzloteanu.bsky.social
#statstab #434 Exposing omitted moderators: Explaining why effect sizes differ in the social sciences

Thoughts: Maybe our models are too simple to makdle the generalisable claims we want.

#bias #moderator #causalinference #heterogeneity #effect

doi.org/10.1073/pnas...
Exposing omitted moderators: Explaining why effect sizes differ in the social sciences | PNAS
Policymakers increasingly rely on behavioral science in response to global challenges, such as climate change or global health crises. But applicat...
doi.org
mzloteanu.bsky.social
#statstab #433 The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients

Thoughts: Adding predictors to your model results in marked changes in inference. Be mindful!

#table2 #fallacy #covariates #bias #inference #regression

doi.org/10.1093/aje/...
The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients
Abstract. It is common to present multiple adjusted effect estimates from a single model in a single table. For example, a table might show odds ratios for
doi.org
mzloteanu.bsky.social
Indeed. Diamond open access is more appropriate
mzloteanu.bsky.social
#statstab #432 PsychOpen Gold

Thoughts: instead of submitting to greedy and unhelpful publishers, try this list of fully open and free journals in psychology.

#OpenScience #openaccess #apcs #goldaccess #pedagogy

psychopen.eu
PsychOpen GOLD: Open Access Publishing
We are a Diamond Open Access platform for psychology research. Peer-reviewed, free-to-read journals with no publication fees, promoting open science.
psychopen.eu
Reposted by Dr Mircea Zloteanu ☀️ 🌊🌴
matti.vuorre.com
100% this, especially with Wiley given their anti-preprint stance.
francescopoli.bsky.social
Why are we still sending our work to Wiley and other publishing companies so that they can profit from it? There's so many better options now, for example: psychopen.eu/journals/
mzloteanu.bsky.social
PowerPoint is still king for posters!
Reposted by Dr Mircea Zloteanu ☀️ 🌊🌴
richarddmorey.bsky.social
"Ultimately, contemporary AI is research misconduct"

I like it already :)