Ricardo Rey-Sáez (β)
@ricardoreysaez.bsky.social
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.
Reposted by Ricardo Rey-Sáez (β)
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
July 18, 2025 at 6:56 AM
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
Reposted by Ricardo Rey-Sáez (β)
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/...
You can check the slides of the @assc28.bsky.social presentation at| www.researchgate.net/publication/...
July 11, 2025 at 9:29 PM
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/...
You can check the slides of the @assc28.bsky.social presentation at| www.researchgate.net/publication/...
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!).
SIX YEARS after the initial blog post, this paper is finally published.. what a wild ride
- the blog: bit.ly/3GbOqQa
- original tweet thread: x.com/Nate__Haines...
- published (open access) paper: doi.org/10.1037/met0...
- the blog: bit.ly/3GbOqQa
- original tweet thread: x.com/Nate__Haines...
- published (open access) paper: doi.org/10.1037/met0...
April 17, 2025 at 6:48 PM
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!).
"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-...
www.bayesianspectacles.org/free-course-...
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…
www.bayesianspectacles.org
April 15, 2025 at 8:29 AM
"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-...
www.bayesianspectacles.org/free-course-...
Reposted by Ricardo Rey-Sáez (β)
🤓¡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...
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
March 19, 2025 at 6:21 PM
🤓¡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...
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...
Reposted by Ricardo Rey-Sáez (β)
Ideas para tatuarme en toda la piel:
March 19, 2025 at 4:46 PM
Ideas para tatuarme en toda la piel:
Reposted by Ricardo Rey-Sáez (β)
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/...
www.pnas.org/doi/10.1073/...
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...
www.pnas.org
March 3, 2025 at 8:15 AM
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/...
www.pnas.org/doi/10.1073/...
Reposted by Ricardo Rey-Sáez (β)
Reposted by Ricardo Rey-Sáez (β)
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 🧵👇
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 🧵👇
December 11, 2024 at 10:20 AM
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 🧵👇
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 🧵👇
Reposted by Ricardo Rey-Sáez (β)
Our JSS article is out!
And now I get to focus on {marginaleffects} 1.0.0. Stay tuned.
www.jstatsoft.org/article/view...
And now I get to focus on {marginaleffects} 1.0.0. Stay tuned.
www.jstatsoft.org/article/view...
December 1, 2024 at 11:00 PM
Our JSS article is out!
And now I get to focus on {marginaleffects} 1.0.0. Stay tuned.
www.jstatsoft.org/article/view...
And now I get to focus on {marginaleffects} 1.0.0. Stay tuned.
www.jstatsoft.org/article/view...
Reposted by Ricardo Rey-Sáez (β)
Doing a deeper dive into reflective vs. formative modeling, thanks to some wonderful reviewers.
#StatsSky #AcademicSky
pdfs.semanticscholar.org/d156/8a44bb3...
#StatsSky #AcademicSky
pdfs.semanticscholar.org/d156/8a44bb3...
December 5, 2024 at 9:19 PM
Doing a deeper dive into reflective vs. formative modeling, thanks to some wonderful reviewers.
#StatsSky #AcademicSky
pdfs.semanticscholar.org/d156/8a44bb3...
#StatsSky #AcademicSky
pdfs.semanticscholar.org/d156/8a44bb3...
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!
November 27, 2024 at 9:52 PM
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!