Giacomo Bignardi

New preprint with @rogierk.bsky.social @paulbuerkner.com - we introduce "relative measurement uncertainty" - a reliability estimation method that's applicable across a broad class of Bayesian measurement models (e.g., generative-, computational- and item response theory-models osf.io/h54k8

Family research in child and adolescent mental health has often been framed as if influence runs mainly from adults to children. In this #OpenAccess JCPP Advances Editorial, @eivindy.bsky.social comments on when children also shape the family environment. https://bit.ly/4f3FjyS

1/ I am thrilled to begin sharing the latest release of pyEM, a Python package I built for fitting cognitive computational models to behavioral data using hierarchical expectation maximization (EM) with maximum a posteriori estimation (MAP). github.com/shawnrhoads/...

Interested in exploring the intergenerational consequences of #racism? On 9 June 2026, ACAMH’s #ACEs SIG will hold a brilliant webinar on this very topic. In this Q&A, we caught up with the presenter – Dr. Yasmin Ahmadzadeh – about her research, and her hopes for the event. https://bit.ly/3PgufW2

Scientists should be judged not just on their research, but the claims they make. Quitting smoking is one of the most powerful ways you can improve your health. Visiting a museum can never come close. Such a claim should require extraordinary evidence. This study is anything but. 18/18 🧵

BGA needs people to communicate if their not going to back out/cancel last minute, or will only be present on 1/2 days, so they can allocate spots to our colleagues and friends who otherwise currently cannot attend due to venue capacity.

🚨 Call for Abstracts: The New Measurement Heretics We welcome proposals from researchers in the philosophy, history, sociology, and anthropology of measurement who would like to address themes around formal & informal measurement concepts ⚖️ Find out more 👇 medhumsplatform.org/call-for-abs...

I've made an R package for Bayesian Rasch #psychometrics with brms models, easyRaschBayes (on CRAN), implementing simple functions to create figures and tables with model fit metrics, etc. Attaching figures from conditional item infit, item-restscore with GK gamma, and the log-likelihood criterion.

Job ad: Postdoc to work with me & @rogierk.bsky.social at the Donders on lifespan development questions from Sept onward! Profile: independent, good quant skills, interested in theory-driven work Please share widely www.careersatradboudumc.com/vacancies/po... #Postdoc #AcademicJobs

"There are signs that the Bayes Factor is increasingly taking on a role analogous to that of the p-value, serving as a device for the automation of decisions rather than as a tool for substantive inference." Excellent new preprint by Carol Ting on the rise of NHST. #Methodology #stats

as I'm revising my course materials, I keep stumbling upon cool @mc-stan.org developments. Current favorites: 1. your model has funnels and you exhausted reparametrization ideas: metric = "dense_e" makes your HMC learn about covariance btw parameters. Sloooow, but effective! 1/

video making very strong (& problematic) claims about the supposed damaging effects of screen time on children's education & cognition is trending on youtube (from the US senate committee)... www.youtube.com/watch?v=Fd-_...

On Tues, February 17th I'll be giving a talk and short workshop on (narratively) generative modeling for Princeton's psychology department, psychology.princeton.edu/news-events/.... The talk (and maybe the workshop) will be live-streamed for those interested in attending remotely.

I've used Lavaan almost every (work)day for 15 years, but this open source labour of love has never received proper institutional support. I'm delighted to be a small part of an 1.5M OpenScienceNL award, led by Jorgensen, to completely revamp and futureproof Lavaan www.openscience.nl/en/news/45-p...

In 2021 we reported that live learning outperformed recorded learning. In a new preregistered analysis, my first senior-author paper led by Stan de Visser (pre-print), we find that this benefit does not increase with interactivity. The potential to interact may be enough to boost learning. A thread:

Happy to share my new paper published in @nathumbehav.nature.com: A critical look at statistical power in computational modeling studies, particularly those based on model selection. www.nature.com/articles/s41...

We wrote an article explaining why you shouldn't put several variables into a regression model and report which are statistically significant - even as exploratory research. bmjmedicine.bmj.com/content/4/1/.... How did we do?

New paper by brilliant final yer PhD student Blanca Piera Pi-Sunyer and colleagues, including 3 undergraduate students (Evans, Ratcliffe, Janaarthanan) 🤩 The Relationship between Perceived Friendship Quality and Self-Judgements in Adolescent Girls from London journals.sagepub.com/doi/epub/10....

Blanca Piera Pi-Sunyer on how to make the world a better place for young people, the cumulative impact of adversity & how to mitigate it in the Gates Cambridge podcast, So, now what? - @cambridgeuni.bsky.social

This is really neat. I have borrowed the reliability() function to my `easyRasch` package, and use plausible values instead of fully Bayesian estimation to produce similar estimates/CIs, see code example below. RMU point estimates are similar to EAP reliability. pgmj.github.io/easyRasch/re...

I've added a new example to our paper's repo, demonstrating how our reliability method replicates Cronbach's alpha for a simple model, but also how our method can account for: (i) binary data, (ii) varying numbers of items per pps, & (iii) improvement over trials www.bignardi.co.uk/8_bayes_reli...