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
#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 :)
mzloteanu.bsky.social
#statstab #430 Modelling Count Data in Psychological Research: An Applied Tutorial

Thoughts: A fairly comprehensive frequentist tutorial. Covers some edge cases, but doesn't explain them well.

#count #poisson #negativebinomial #IRR #tutorial #education

doi.org/10.1002/ijop...
Modelling Count Data in Psychological Research: An Applied Tutorial
Across subfields of psychology, researchers frequently encounter count variables (i.e., non-negative integer values, which result from counted measurements). Although count variables are common in ps....
doi.org
mzloteanu.bsky.social
#statstab #429 A Vast Graveyard of Undead Theories: Publication Bias and Psychological Science’s Aversion to the Null

Thoughts: Ignoring null findings keeps bad theories alive.

#nulleffects #nhst #falsification #theory #critique #reproducibility #pvalue

journals.sagepub.com/doi/full/10....
A Vast Graveyard of Undead Theories - Christopher J. Ferguson, Moritz Heene, 2012
Publication bias remains a controversial issue in psychological science. The tendency of psychological science to avoid publishing null results produces a situa...
journals.sagepub.com
mzloteanu.bsky.social
#statstab #428 Knowing ANOVA

Thoughts: "Is ANOVA just a special case of regression? Maybe". We sometimes forget the benefits of specific cases of a linear model.

#ANOVA #FISHER #linearmodel #history #error #iid

www.linkedin.com/pulse/knowin...
Knowing ANOVA
Lost in space WARNING. I know nothing about agriculture and even less about spatial statistics.
www.linkedin.com
Reposted by Dr Mircea Zloteanu ☀️ 🌊🌴
mzloteanu.bsky.social
Is this the one where Calvin wanted to implement a form of SDT, that we emailed about with Matti?
mzloteanu.bsky.social
I imagine it would screw up automated tools for extracting info also.
mzloteanu.bsky.social
agreed. it is often very annoying when you see that either someone names something very poorly, or that the "better" name is already used by like 3 other things (e.g., e-values vs E-values).
mzloteanu.bsky.social
#stats Q: In frequentist, we use Confidence Intervals (CI). In bayesian, we use Credible Intervals (CrI or CI also). Given this overlap in initials, should we collectively move to Probability Intervals (PI)? Or does this confuse things with Prediction Intervals? Thoughts?
mzloteanu.bsky.social
#statstab #426 Execution of Replications

Thoughts: A good resource for conducting replications. Different ways to plan your sample size and consider "success/failure".

#replication #OpenScience #metaanalysis #samplesize #sesoi #smalltelescope

forrt.org/replication_...
6  Execution of Replications – Handbook for Reproduction and Replication Studies
How to carry out reproductions and replications in the social, cognitive, and behavioral sciences
forrt.org
mzloteanu.bsky.social
It's the measurement error that gets in the way. You can have thousands of people do a specific task, but if that task isn't all that good then you have very precise rubbish.
mzloteanu.bsky.social
And thanks for sharing the two links. I would like more papers that talk about benchmarks and their logic.
mzloteanu.bsky.social
I saw someone argue on LinkedIn that our tools in psych lack the necessary precision to estimate small effects. So we should stick to around 0.40-0.80 SDs (bigger than that would be "an obvious finding")
mzloteanu.bsky.social
#statstab #425 Providing a Lower-Bound Estimate for Psychology’s “Crud Factor”

Thoughts: Psych research may not have the tools to investigate very small effects at all!

#crudfactor #research #psychology #mesurement #error #effectsize

gwern.net/doc/psycholo...
gwern.net
mzloteanu.bsky.social
Can you say more about this?

(I'm thinking you mean the difference between saying "the data is not compatible with the hypothesis" vs "the hyp isn't compatible with the data" distinction?)