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Ricardo Rey-Sáez (β)

@ricardoreysaez.bsky.social
203 followers 88 following 84 posts

I'm a psychometrician in the experimental field, currently doing my PhD research on the Psychometric Properties of Experimental Tasks at the Universidad Autónoma de Madrid.

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Reposted by Ricardo Rey-Sáez (β)
Priya Silverstein @priyasilverstein.com · 08/09/2026
SIPS [@improvingpsych.org] elections are here! Don't forget to cast your ballot. If you don't already know the candidates, I would like to put a special shout out to @aliciafrancomnez.bsky.social who is running in the graduate student and postdoc category ✨
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Miguel Vadillo @mavadillo.bsky.social · 09/09/2026
Couldn't agree more :)
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Society for the Improvement of Psychological Science (SIPS) @improvingpsych.org · 28/08/2026
👏Congratulations to everyone who contributed to the project: Alicia Franco-Martínez @aliciafrancomnez.bsky.social, Ricardo Rey-Sáez @ricardoreysaez.bsky.social, and Ignacio Castillejo @igcastillejo.bsky.social.
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Society for the Improvement of Psychological Science (SIPS) @improvingpsych.org · 28/08/2026
Congratulations to the project “Psicometríes,” which received🏆2026 SIPS commendation! Psicometríes is a space dedicated to disseminating science, psychology, methodology, and psychometrics. buff.ly/jcpJKev
youtube.com
Psicometríes
Espacio dedicado a la divulgación de la Ciencia, la Psicología, la Metodología y la Psicometría, creado por @AliciaFrancoXVE pero abierto a quienes, desde cualquier nivel de formación, les apetezca…
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PsyArXivBot @psyarxivbot.bsky.social · 21/08/2026
The cogmod R Package: Easy-to-Use Bayesian Cognitive Models for Reaction Times, Choices and Subjective Ratings, with Applications to Computational Neuropsychology: osf.io/5h62c
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Miguel Vadillo @mavadillo.bsky.social · 22/07/2026
Not to mention a second commendation to Psicometríes, with @ricardoreysaez.bsky.social and @igcastillejo.bsky.social. Congratulations!
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Miguel Vadillo @mavadillo.bsky.social · 22/07/2026
Very proud of SIPS commendation to @aliciafrancomnez.bsky.social 's paper with guidelines and recommendations to ECRs running their first manylabs study.
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Samuel P León @samuelpleon.bsky.social · 07/07/2026
📢 Our meta-analytic and metascientific review of Montessori research is now published! We synthesized evidence from 198 studies, examining not only average effects but also methodological quality, implementation fidelity, publication bias, and open science practices. doi.org/10.3102/0034...
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Fernando Blanco 🦋 🏳️‍🌈 🏳️‍⚧️ @fernandoblancopsy.com · 09/07/2026
¡Hoy nos publican un nuevo artículo! ¿Cómo impactan las recomendaciones de la IA en las decisiones de los médicos y médicas? ¿Y si la IA mete la pata? ¿Se darán cuenta? Intentamos responderlo en esta investigación. journals.plos.org/digitalhealt...
journals.plos.org
Doctors vs. Algorithms: Physicians, too, struggle to learn from evidence that contradicts AI suggestions
Author summary Artificial Intelligence (AI) is now widely used in various fields, including clinical practice, where AI systems assist in classifying patients for diagnosis and treatment. However, the...
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Alicia Franco-Martínez (λ) @aliciafrancomnez.bsky.social · 01/07/2026
Hi everyone! I just shared the video of my PhD defence: youtube.com/watch?v=yAba50zL2Kc&hl=en&cc_lang_pref=en&cc_load_policy=1 and also the slides and the dissertation (osf.io/kwymn), in case someone is interested. Thank you again to everyone who contributed that day to making me immensely happy🤍
youtube.com
Defensa de Tesis - VALIDEZ de las inferencias y medidas en procesamiento inconsciente
YouTube video by Psicometríes
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Reposted by Ricardo Rey-Sáez (β)
Henrik Singmann @singmann.bsky.social · 16/06/2026
Finally out in Psychological Review (psycnet.apa.org/doi/10.1037/...), our update to Signal Detection Theory. We show that contrary to the prevailing Gaussian assumption, evidence distributions in recognition memory are likely minimum extreme Gumbel!
Figure 7: Illustration of the Gumbel-min Signal Detection Model
Figure consists of three panels.
Bottom-left panel: The Gumbel-min latent-strength distributions associated with SIGNAL (old) and NOISE (new) items. Top-left panel: The log likelihood ratio (log-LR) for the two latent-strength distributions. Right panel: The receiver operating characteristic function produced by the two latent-strength distributions. pH = hit probabilities; pFA = false-alarm probabilities.
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Ricardo Rey-Sáez (β) @ricardoreysaez.bsky.social · 15/06/2026
Finally, our paper is out! Together with @aliciafrancomnez.bsky.social, Javier Revuelta, and @mavadillo.bsky.social, we extend hierarchical factor models for skewed RTs and task validation, now in Psychological Methods: doi.org/10.1037/met0... Let me briefly explain what we did and why it matters!
doi.org
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Gidon Frischkorn @gidon-frischkorn.bsky.social · 09/06/2026
A new #bmm release is available on #CRAN. With this version, #bmm now covers basic response time models. This release contains three new models plus several usability features. Here's what's in it 🧵 venpopov.com/bmm/ #rstats #bayes #openscience
venpopov.com
Easy and Accessible Bayesian Measurement Models Using brms
Fit computational and measurement models using full Bayesian inference. The package provides a simple and accessible interface by translating complex domain-specific models into brms syntax, a powerfu...
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Nathaniel Haines @natehaines.bsky.social · 03/06/2026
giving a talk later this year and this is gonna be so fun
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Nathaniel Haines @natehaines.bsky.social · 24/05/2026
reach out if you or someone you knows wants to chat about doing some modeling together 🤓 my focus is primarily on modeling behavioral paradigms and self-report measures—either together, separately, or even longitudinally bayesianbeginnings.com/?v=2
bayesianbeginnings.com
Bayesian Beginnings — Consulting for Bayesian & Computational Modeling
Helping researchers design, fit, and validate Bayesian and computational models — and build the reproducible pipelines that make the work last.
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Nathaniel Haines @natehaines.bsky.social · 20/05/2026
some big news! hBayesDM has now been fully ported to cmdstan/cmdstanr/cmdstanpy check out the PR below, or the changelog for an overview: PR: github.com/CCS-Lab/hBay... Changelog: ccs-lab.github.io/hBayesDM/new... stay tuned for some additional features coming soon, including covariate support 🤓
github.com
feature: hBayesDM version 2.0 by Nathaniel-Haines · Pull Request #182 · CCS-Lab/hBayesDM
hBayesDM 2.0 — modernize stack & toolchain Top-to-bottom refactor of both the R and Python packages onto current Stan tooling, plus the supporting work to keep behavior, docs, and CI in sync. H...
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Guido Corradi @guidobcor.bsky.social · 18/05/2026
Nuevo artículo en Int. Gambling Studies. Meses (años?) de trabajo para tener por fin una herramienta corta que mida el daño real del juego en población española. El daño por el juego es trazable incluso en frecuencias bajas. ¡Gran equipo! www.tandfonline.com/doi/full/10....
tandfonline.com
Quantifying the negative impact of gambling: psychometric evaluation of the Spanish version of the Short Gambling Harm Scale (S-SGHS) among individuals engaged in gambling activities
Gambling-related harm (GRH) extends beyond addiction, affecting multiple life domains, yet validated tools for its assessment are currently lacking for the Spanish population. This study adapted an...
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Alicia Franco-Martínez (λ) @aliciafrancomnez.bsky.social · 23/04/2026
If you’ve ever considered leading a multisite study but weren’t sure where to start, I hope our new paper in @collabrapsychology.bsky.social can help! 🔗https://doi.org/10.1525/collabra.159983
doi.org
A Gentle Push Toward Leading Your First Multisite Registered Report: Resources and Recommendations From an Early-Career Coordinator
Multisite collaborations are becoming increasingly common in psychological science, offering a powerful opportunity for testing effects across diverse samples. However, leading such projects can appea...
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Alicia Franco-Martínez (λ) @aliciafrancomnez.bsky.social · 23/04/2026
Want to explore the creative drawing process? Play with our demo of the Creative Creature Creator (CrCrCr): aliciafrancomartinez.github.io/demoCrCrCr.g...
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Ricardo Rey-Sáez (β) @ricardoreysaez.bsky.social · 06/04/2026
When coding hierarchical models in Stan, I always check if I can specify a marginal likelihood to avoid sampling random intercepts or slopes. While this speeds things up and improves model comparison via LOO, it's incredible how the conditional log-likelihood naturally solves missing value problems!
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Sepneca @sepneca.bsky.social · 18/03/2026
🗣️ ¡Charla! Recursos y recomendaciones para sobrevivir (y disfrutar) liderando un “manylabs”. La ponente @aliciafrancomnez.bsky.social  (@uam.es ) tratará acerca de proyectos multisite y ciencia colaborativa. Los socios podéis acceder a través de forms.gle/sopq3gBi8EeQHqQ68
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Brian Nosek @briannosek.bsky.social · 01/04/2026
SCORE, a collaboration of 865 researchers, is now released as three papers in Nature, six preprints, and a lot of data (cos.io/score/). SCORE examined repeatability of findings from the social-behavioral sciences and tested whether human and automated methods could predict replicability.
cos.io
SCORE | Center for Open Science
SCORE shows that there is no shortcut to producing credible research findings, and there is no single indicator of trustworthiness. Research progress depends on transparency, rigor, and establishing r...
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Francisco Garre-Frutos @frangfr.bsky.social · 23/03/2026
With this amazing team: @martinezlopezp.bsky.social, Adriana Ariza, @ricardoreysaez.bsky.social, @davluque.bsky.social, @mavadillo.bsky.social, and @fegr-gr25.bsky.social.
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Daniel Lakens @lakens.bsky.social · 23/03/2026
If you want to collaborate on Qmd, Rmd, or md files for reproducible manuscripts, try out the alpha version of Quarto Review! It does track changes, comments, syncs with git, shows differences between versions! github.com/Lakens/Quart... Tell me the bugs and feature requests!
github.com
GitHub - Lakens/QuartoReview: Editor for Qmd files
Editor for Qmd files. Contribute to Lakens/QuartoReview development by creating an account on GitHub.
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Francisco Garre-Frutos @frangfr.bsky.social · 23/03/2026
Although reward signals are believed to capture attention in an inflexible and automatic fashion, in this preprint we demonstrate through three experiments and some computational modelling that verbal instructions can trigger model-based revaluation processes. osf.io/preprints/ps...
osf.io
OSF
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PsyArXivBot @psyarxivbot.bsky.social · 24/01/2026
Reluctant to ReLU: Uncontrolled Connectivity Pruning Underlying Trainable Excitatory-Inhibitory Recurrent Neural Networks: osf.io/9uzhq
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Ricardo Rey-Sáez (β) @ricardoreysaez.bsky.social · 24/01/2026
Paper alert! 📢 We just published a Registered Report Many-Labs study! 🌍🔬 I have to highlight the massive amount of work @aliciafrancomnez.bsky.social put into leading this. I feel truly honored to be part of this team and to learn from her example of exactly how science should be done.
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Ricardo Rey-Sáez (β) @ricardoreysaez.bsky.social · 29/12/2025
Two years ago, I had an idea, one that evolved over time as I kept reading and learning. Today, a major first part of that idea has just become my first PhD preprint, now publicly available on PsyArxiv. Let me tell you a bit more about the story behind it... while I prepare the submission.
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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 18/07/2025
I haven't read this book yet, but the authors (Grant & Di Tanna) know their stuff, and they provide code for every script/engine. Meta- and mega-analysis one of those places where Bayes is natural and often easier than non-Bayes. bayesian-ma.net
cover of Bayesian Meta-Analysis: A Practical Introduction by Robert Grant and Gian Luca Di Tanna
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Alicia Franco-Martínez (λ) @aliciafrancomnez.bsky.social · 11/07/2025
Super grateful to the WM team for such an exciting project 🥹🗺️🤍 You can check the slides of the @assc28.bsky.social presentation at| www.researchgate.net/publication/...
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Ricardo Rey-Sáez (β) @ricardoreysaez.bsky.social · 17/04/2025
Six years of revisions for one of the best papers I've ever read. Seriously, a must-read: from the underlying theoretical logic of statistical modeling to the most efficient programming of models in Stan (I still remember their four-dimensional arrays for RTs!).
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Ricardo Rey-Sáez (β) @ricardoreysaez.bsky.social · 15/04/2025
"Even a scientific demigod such as Gottfried Leibniz faltered when confronted with a simple problem in probability theory. Or perhaps there are no simple problems in probability theory!" (Wagenmakers & Matzke, 2024, p. 83). www.bayesianspectacles.org/free-course-...
bayesianspectacles.org
Free Course Book
Our course book “Bayesian inference from the ground up: The theory of common sense” will be made freely available on this website. Click here or on the cover page below to obtain the fi…
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Alicia Franco-Martínez (λ) @aliciafrancomnez.bsky.social · 19/03/2025
🤓¡Primer paper de mi tesis! La historia de cómo aprendí a modelar un experimento de aprendizaje implícito. Modelar es muy poderoso: permite simular qué pasaría si asumo que tengo ruido de medida y de muestreo. ¿Tendría potencia para detectar mi efecto teórico? authors.elsevier.com/a/1km4d,H2pb...
authors.elsevier.com
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Alicia Franco-Martínez (λ) @aliciafrancomnez.bsky.social · 19/03/2025
Ideas para tatuarme en toda la piel:
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Alejandro Sandoval-Lentisco @asandovall.bsky.social · 03/03/2025
I just read the paper ‘The misalignment of incentives in academic publishing and implications for journal reform’ and loved it. It gives a very illustrative overview of the roles of journals and I found it inspiring to see all the alternatives that are working! www.pnas.org/doi/10.1073/...
pnas.org
The misalignment of incentives in academic publishing and implications for journal reform | PNAS
For most researchers, academic publishing serves two goals that are often misaligned—knowledge dissemination and establishing scientific credential...
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Mattan S. Ben-Shachar @mattansb.msbstats.info · 25/02/2025
You write: Random intercepts were included for each subject. I read: 𝗢𝗻𝗹𝘆 random intercepts were included for each subject. #stats
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Kristoffer Magnusson @rpsychologist.com · 11/12/2024
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 Would really appreciate your feedback as I refine this app! Details below 🧵👇
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Vincent Arel-Bundock @vincentab.bsky.social · 02/12/2024
Our JSS article is out! And now I get to focus on {marginaleffects} 1.0.0. Stay tuned. www.jstatsoft.org/article/view...
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Daniel P. Moriarity @dpmoriarity.bsky.social · 05/12/2024
Doing a deeper dive into reflective vs. formative modeling, thanks to some wonderful reviewers. #StatsSky #AcademicSky pdfs.semanticscholar.org/d156/8a44bb3...
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Ricardo Rey-Sáez (β) @ricardoreysaez.bsky.social · 27/11/2024
Frameworks like GLLAMM (Skrondal & Rabe-Hesketh, 2004) or GLVM (Muthén, 2002) will be the future of psychometrics in the experimental world. They allow us to estimate correlations between experimental measures of latent cognitive processes with less uncertainty than any other traditional approach!
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