Julia Haaf

YouTube video by Pupsi Smash Mouth - All Star (Melon Cover)

The summer version is also excellent!

youtu.be/79Y6Q47qjlw?...

Ginger cat lounging on a yellow blanket.

Also all the pets of course!

YouTube video by Pupsi Billie Eilish - Bad Guy (Pumpkin Cover)

In serious fall mood over here. 🍁🍂

Chestnuts, pumpkins, walks in the forest, please!

youtu.be/DnKOzdEa80A?...

Frank the cat covered by a yellow blanket. He looks cozy but a little concerned.

Sometimes my cat sounds like someone forgot to turn off the vibration alarm on their phone...

Call for collaborators! 🧵

The TL;DR: we seek collaborators on a #ManyLabs #RegisteredReport about what causes rapid forgetting.

In-principle accepted Stage 1: osf.io/ahjn5

Expressions of interest: cardiffunipsych.eu.qualtrics.com/jfe/form/SV_...

Further details in the 🧵:

It is a common theme in academia to forget that faculty also get paid to do research and write papers. Getting paid doesn't mean no intellectual contribution to a paper, otherwise unpaid interns would be the only authors on papers.

Join our interdisciplinary team that combines computational linguistics with cognitive neuroscience! Our center is located in the beautiful Trentino region.

Is that what they call a life hack?

🤯

Why is it that everyone on the internet seems to be so damn comfortable with prior/posterior plots using ggplot that do not use the same y-axis density values. Drives me nuts. Sunday rant over.

Adopt Registered Reports at Psychological Methods Can you spare a minute to help this campaign?

Help us show there is support for offering registered reports at one of Psychology's leading method's journal! chng.it/TwwnVBScVb

Three of my collaborators have COVID RIGHT NOW 😷 😷 😷

Exactly. Still his favorite shoes!

My kid came home recently and told me he is wearing girls shoes. I countered with examples of different kids he really likes or admires and who wear all kinds of different types of shoes. So there can't be boys and girls shoes. He accepted it and now they are his princess shoes. 👸

A lot of educators treat being overworked as a sign of virtue or commitment to excellence. It might just be a sign our institutions are understaffed, underfunded, and don't prioritize teaching, teachers, and learning in their budgets. And self-congratulation doesn't pay the bills.

Do kids show adult-like working memory patterns?

🧠 We analyzed nearly 1M observations from 9K+ Dutch students in a real-world adaptive learning platform.
✅ Benchmark effects in children
📊 Bayesian modeling + big adaptive data = new insights

⬇️ Authors & links

#WorkingMemory #DevPsych

Summer is the best!

We started writing this paper in 2023 and it is finally preprinted. I have learned *a lot* writing this and I hope you will learn a lot from it as well.

But what should be at least equally central to the debate is validity. We highlight that current efforts to ensure validity are often misguided. We propose to use formal cognitive modeling to investigate validity, but also to develop formal models and improved tasks of attentional control together.

How can we achieve good measurement of attentional control? Much of the debate around this question has focused on methodological issues, most prominently the reliability paradox. Sure, reliability is important (and we critically review all recent developments).

Expression of Interest in Serving as a PsyArXiv Moderator As you might have heard, PsyArXiv is having some issues with an increase in low-quality submissions, ranging from AI generated manuscripts to inflate citation metrics, incoherent or nonsensical docume...

PsyArXiv is seeking new moderators to help combat an increase in AI submissions! If you've ever posted a preprint to PsyArXiv, please consider joining. Minimum commitment 1h/month, there's a training session this Monday @ 1pm ET. More info here: forms.gle/9LB1rEtxHAeZ... #PsychSciSky

New paper with @richarddmorey.bsky.social now out in JASA, where we critically examine p-curve. Below is Richard’s excellent summary of the many poor statistical properties of p-curve (with link to paper). I wanted to add some conceptual issues that we also tackle in the paper.

😂

Here it's free for kids between 3 and 6 (state of Brandenburg). We do pay 40 euros for food per month, and they provide three meals a day for the kids (breakfast lunch and an afternoon snack).

Cover page for the manuscript: Morey, R. D., & Davis-Stober, C. P. (2025). On the poor statistical properties of the P-curve meta-analytic procedure. Journal of the American Statistical Association, 1–19. https://doi.org/10.1080/01621459.2025.2544397

Abstract for the paper: The P-curve (Simonsohn, Nelson, & Simmons, 2014; Simonsohn, Simmons, & Nelson, 2015) is a widely-used suite of meta-analytic tests advertised for detecting problems in sets of studies. They are based on nonparametric combinations of p values (e.g., Marden, 1985) across significant (p < .05) studies and are variously claimed to detect “evidential value”, “lack of evidential value”, and “left skew” in p values. We show that these tests do not have the properties ascribed to them. Moreover, they fail basic desiderata for tests, including admissibility and monotonicity. In light of these serious problems, we recommend against the use of the P-curve tests.

Paper drop, for anyone interested in #metascience, #statistics, or #metaanalysis! @clintin.bsky.social and I show in a new paper in JASA that the P-curve, a popular forensic meta-analysis method, has deeply undesirable statistical properties. www.tandfonline.com/doi/full/10.... 1/?

Are the scores the same between Fitbit and Garmin?

I have yet to read a single story about men adopting AI at work (without being told) at a higher rate than women that presents it as anything other than men being smart. Not one story about how it implies they're lazier and less ethical.
Because that's not the narrative that's being pushed about AI.

Today I taught my last class for this semester. Next time teaching is April 2026. 🥳🥳🥳 (Don't get me wrong, I like teaching. But time for research is exciting!)

I recently taught a course on minimizing mistakes in science. The most convincing argument to my masters students was that you never check mistakes that support the expected outcome, you only check if the outcome is unexpected. That's a hugely important bias!