R Markdown Towards Data Science p.s. our R package {InteractionPoweR} includes the ability to appropriately model covariate interactions in your interaction power analyses: dbaranger.github.io/InteractionPow…

Tom Carpenter, PhD (@tcarpenter.bsky.social) Yes! e.g. I have one here: haines-lab.com/post/2018-03-2…

👶 BabyLM Challenge is back! Can you improve pretraining with a small data budget? BabyLMs for better LLMs & for understanding how humans learn from 100M words New: How vision affects learning Bring your own data Paper track babylm.github.io 🧵

Me doing a literature review

#statstab #70 {apaquarto} create APA7 .docx, .html, and .pdf in #quarto Thoughts: Saw recently, seemed useful. Will have to test it out, but being able to make a Word docx is very collab friendly. #r #apa #publishing #manuscript github.com/wjschne/apaqua…

People who watch *the exact same* video of a protest often come to radically different conclusions. People's views of protestors and the police depend on the congruence of the protestors’ positions with the subjects’ own worldview jstor.org/stable/41511108

Using a computational model to quantify difficulty in reconstructing images from compressed codes, Qi et al. show that reconstruction errors explain aspects of perception and memory performance. Yale Psychology Wu Tsai Institute | Yale University nature.com/articles/s4156…

1/13 Heavily updated preprint! arxiv.org/abs/2209.11737 We show that the contextual information encoded in Large Language Models (LLMs) is beneficial for modelling the complex visual information extracted by the brain from natural scenes. 🧵

😎Happy to share the news that our Python EEG handbook has been published in the new journal - Brain-X Brain-X (ISSN: 2835-3153) !!! 🥳 onlinelibrary.wiley.com/doi/full/10.10…

#CogNeuro seeks unified theories of behavioral, physiological, and mental states. To this aim, our Nature Neuroscience Perspective proposes a new framework centered on #TaskDemands & across-task generalization. nature.com/articles/s4159… w/Alexandra C Schmid Simon Kaplan Chris Baker D.Kravitz🧵

A new feature that *might* be added to our #rstats #easystats packages soon: checking models for correct adjustment by using DAGs! `check_dag()` (working title) makes it so easy to check the causal paths of your model and tells you how to address misspecifications!

🚨 New article 🚨 Open LLMs are powerful and reproducible alternatives to closed models like GPT or Gemini. In this tutorial, we (Zak Hussain, Marcel Binz, Rui Mata) explain how LLMs work and show how to apply open LLMs to behavioral science questions using the

Getting high-quality #EyeTracking can be hard, especially when combined with other techniques like MEG or fMRI. Therefore, I started collecting a few tips for improving data quality that you won't find in a manual. If you know more, please reach out! matthiasnau.com/eye_tracking.h…

On average, 58% less data is collected with a sequential ANOVA compared to a fixed ANOVA. Can't believe that? Take a look here: psycnet.apa.org/record/2025-21… preprint: osf.io/preprints/psya…

{effectsize} version 1.0.0 has been released! 🍕👹 Not many changes in this update, but this is quite a milestone 🥳 - the second stable package from easystats, with more to come soon! #rstats easystats.github.io/effectsize/

Introducing PowerLMM.js! A new tool for power analysis of longitudinal linear mixed-effects models (LMMs) – with support for missing data, plus non-inferiority and equivalence tests. powerlmmjs.rpsychologist.com Details below 🧵👇

8/8 This was a lot of fun to write! And a long time coming.. As always, R code is all included in the post, and comments/feedback is welcomed 😁 Oh and of course, here is a link to the post: haines-lab.com/post/bayesian-…

📢 It's published!!! We (28 scientists) propose 4 Ways to increase Effect Sizes (not only Sample Size) to enhance the Replicability of Neuroimaging Research on Individual Differences. 🧠 >> check this out: doi.org/10.1162/jocn_a…

The #tidyplots paper is now published in iMeta 🎉🥳🔥 Whenever you use tidyplots in your published work, consider citing doi.org/10.1002/imt2.7… 🙏 #rstats #dataviz #phd

🚨 Finally out in Nature Machine Intelligence!! "Visual representations in the human brain are aligned with large language models" nature.com/articles/s4225…