Felipe Fontana Vieira
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felipefv.bsky.social
Felipe Fontana Vieira
@felipefv.bsky.social
1.1K followers 800 following 140 posts
PhD researcher | Department of Data Analysis, @UGent | https://felipelfv.github.io | I like statistics, psychometrics, and metascience sometimes; pasta and ice cream, always | Donate to lavaan: https://lavaan.ugent.be/
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felipefv.bsky.social
Nice. I just wrote an entire master thesis to realise my proposal makes no sense at all.
November 14, 2025 at 9:27 AM
felipefv.bsky.social
Check this out!
costantinoai.bsky.social Andrea Costantino @costantinoai.bsky.social · 13d
Super excited to share a new preprint!

We asked a simple-but-big question:

What changes in the brain when someone becomes an expert?

Using chess ♟️ + fMRI 🧠 + representational geometry & dimensionality 📈, we ask:

1️⃣ WHAT information is encoded?
2️⃣ HOW is it structured?
3️⃣ WHERE is it expressed?

1/n
November 13, 2025 at 9:19 AM
felipefv.bsky.social
Personally, a lot of the times I don’t even think
olivia.science Olivia Guest · Ολίβια Γκεστ @olivia.science · Oct 10
as a cognitive scientist, I can confirm we don't know how humans think
October 10, 2025 at 7:40 PM
felipefv.bsky.social
Well well well: www.cambridge.org/core/books/e...
Elements of Structural Equation Models (SEMs)
Cambridge Core - Psychology Research Methods and Statistics - Elements of Structural Equation Models (SEMs)
www.cambridge.org
September 19, 2025 at 3:52 PM
Reposted by Felipe Fontana Vieira
brodriguesco.bsky.social
rixpress is now an @ropensci.org package!

Link: docs.ropensci.org/rixpress/
September 17, 2025 at 8:31 AM
Reposted by Felipe Fontana Vieira
vincentab.bsky.social
Whoa—my book is up for pre-order!

𝐌𝐨𝐝𝐞𝐥 𝐭𝐨 𝐌𝐞𝐚𝐧𝐢𝐧𝐠: 𝐇𝐨𝐰 𝐭𝐨 𝐈𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭 𝐒𝐭𝐚𝐭 & 𝐌𝐋 𝐌𝐨𝐝𝐞𝐥𝐬 𝐢𝐧 #Rstats 𝐚𝐧𝐝 #PyData

The book presents an ultra-simple and powerful workflow to make sense of ± any model you fit

The web version will stay free forever and my proceeds go to charity.

tinyurl.com/4fk56fc8
September 17, 2025 at 7:49 PM
Reposted by Felipe Fontana Vieira
dingdingpeng.the100.ci
New paper out with @boryslaw.bsky.social 🥳 In which we sketch out how to rethink measurement invariance causally for applied researchers. And provide a causal definition of measurement invariance!

www.sciencedirect.com/science/arti...
Rethinking measurement invariance causally Highlights: It is preferable to work with a causal definition of measurement invariance A violation of measurement invariance is a potentially substantively interesting observation Standard tests for measurement invariance rely on strong assumptions Group differences can be thought of as descriptive results Conceptual graph illustration the central points of the manuscript. A group variable is potentiall connected to a construct of interest which affects items. Measurement invariance is violated if the group variable directly affects the items, for example by modifying the loadings from the construct to the items, or by directly affecting an item To make this less abstract, consider a scenario where students take an exam, R, meant to capture some ability, T, and then are admitted to a program, V, depending on their exam results: R → V. This is sufficient to result in a violation of the statistical definition of measurement invariance. Exam results and admission are not independent given ability because exam results have a direct effect on admission. Even if we know somebody’s ability (e.g., we know it’s very high), learning about their admission status (e.g., they were not admitted) can tell us something about their exam result (e.g., it may have been worse than expected). According to the causal definition, this in itself does not constitute measurement bias, which seems a sensible conclusion here. After all, the scenario does not involve any reason to believe that the measurement process varied systematically by admission status. Admission happens after the exams took place, it cannot retroactively influence the measurement process (and, for example, lead to unfair treatment depending on admission status).
September 11, 2025 at 9:11 AM
Reposted by Felipe Fontana Vieira
boryslaw.bsky.social
The authors "conclude that psychometric standards must be sufficiently rigorous to distinguish genuine constructs and associations from methodological artifacts that can otherwise pose a serious validity threat." Which sounds great, but is typically *impossible* to achieve in psychology
1/5
September 11, 2025 at 8:15 AM
Reposted by Felipe Fontana Vieira
mzloteanu.bsky.social
#statstab #405 Best Practices for Estimating, Interpreting, and
Presenting Nonlinear Interaction Effects

Thoughts: Guidance on nonlinear interactions, reporting (probabilities) and visualisations.

#probit #logit #logisticregression #nonlinear #guide

sociologicalscience.com/download/vol...
sociologicalscience.com
August 22, 2025 at 7:20 PM
Reposted by Felipe Fontana Vieira
fbartos.bsky.social
Fair coins tend to land on the same side they started: evidence from 350,757 flips.

That's the title of our paper summarizing ~650 hours of coin-tossing experimentation just published in the Journal of the American Statistical Association.
doi.org/10.1080/0162...
August 11, 2025 at 2:20 PM
Reposted by Felipe Fontana Vieira
jumpingrivers.com
We're happy to share the main talks for the Shiny in Production Conference 2025!

This year's lineup includes some great talks on using Shiny in real-world projects, from building apps to scaling them in production.

Looking forward to seeing everyone there!

#ShinyInProduction #RStats #DataScience
Shiny in Production 2025: Full Length Talks
We are pleased to announce the full length talks for this year's Shiny in Production conference! In this blog post, we've pulled together all of the talk abstracts to give you a full view of what to expect!
www.jumpingrivers.com
June 18, 2025 at 11:32 AM
Reposted by Felipe Fontana Vieira
tomaszwozniak.bsky.social
It was so so good to work with Monash Uni students on their first steps in C++ programming for R applications! 🚀✨ They made it! And now, they're ready to code! 🤖👾

arp.numbat.space/week11/

#rstats #rcpp #armadillo
May 23, 2025 at 2:56 AM
Reposted by Felipe Fontana Vieira
malte.the100.ci
May 17, 2025 at 6:01 PM
Reposted by Felipe Fontana Vieira
danielemarinazzo.bsky.social
PhD fellowship to work with me and Benedetta Franceschiello on the analysis and modelling of fast sampled fMRI data!

www.ugent.be/en/work/scie...
Doctoral fellow
www.ugent.be
May 15, 2025 at 11:55 AM
Reposted by Felipe Fontana Vieira
cedricscherer.com
Excited to launch "ggplot2 [un]charted" with @yan-holtz.bsky.social! 🎉

An online course to master #ggplot2 with exercises, quizzes, and modules—and hands-on code running in your browser!

Still WIP—sign up now for a limited discount:
👉 www.ggplot2-uncharted.com

#rstats #DataViz #DataVisualization
The landing page of the course "ggplot2 uncharted" with the title teasing it with "Master Data Visualizations with ggplot2".
May 12, 2025 at 3:58 PM
Reposted by Felipe Fontana Vieira
thomasp85.com
Mastering typefaces and fonts in #rstats has always been harder than it should.

I have tried to collect much of my relevant knowledge in this deep-dive blog post so you can spend your time picking the right typeface instead of cursing at the computer
Fonts in R
Taking control of fonts and text rendering in R can be challenging. This deep-dive teaches you everything (and then some) you need to know to keep your sanity
www.tidyverse.org
May 12, 2025 at 7:03 PM
felipefv.bsky.social
Every month you get a "Bad stats" article as part of Significance. This month we have something on randomised non-comparative trial (RNCT): academic.oup.com/jrssig/artic...
Bad stats: A regular series exploring slip-ups, snafus and salutary lessons from the world of statistics
Abstract. What is the secret to a happy life after a successful career in the statistical sciences? One answer is continuing engagement with the profession
academic.oup.com
May 10, 2025 at 3:51 PM
Reposted by Felipe Fontana Vieira
dingdingpeng.the100.ci
Not-so-modest shoutout to our own paper on interactions in which we discuss both issues — scale dependence and confounding 😋 journals.sagepub.com/doi/10.1177/...
Precise Answers to Vague Questions: Issues With Interactions - Julia M. Rohrer, Ruben C. Arslan, 2021
Psychological theories often invoke interactions but remain vague regarding the details. As a consequence, researchers may not know how to properly test them an...
journals.sagepub.com
May 10, 2025 at 10:21 AM
Reposted by Felipe Fontana Vieira
mattansb.msbstats.info
Also note that "removable" here is a mathematical term: an interaction is removable if we can nullify it with a monotonic transformation. But just because an interaction is "removable" doesn't mean it isn't substantial!
May 10, 2025 at 11:48 AM
Reposted by Felipe Fontana Vieira
stephenjwild.bsky.social
"It’s an odd mix of weirdly capable, but also sort of dumb and forgetful."

LLMs: they're just like me.
May 8, 2025 at 12:24 AM
Reposted by Felipe Fontana Vieira
epiellie.bsky.social
FACT CHECK:

This viral graph from twitter claims to *prove* vaccines cause autism.

But there's something fishy about the data! Let's dive in.
April 22, 2025 at 4:25 PM