Federico D'Atri @fdatri.bsky.social · 15/12/2025@krzysztofcipora.bsky.social @mateuszhohol.bsky.social @lillyroth.bsky.social @jagiellonskiuni.bsky.social 010
Federico D'Atri @fdatri.bsky.social · 15/12/2025Datasets include numerical cognition, Flanker, and Stroop paradigms. We compare mixed-effects models with t-tests on averaged RTs and introduce a new metric adjusting power for coverage. 100
Federico D'Atri @fdatri.bsky.social · 15/12/2025Unlike most previous RT simulation studies, we use a virtual-experiments strategy (Miller, 2024), subsampling from real human-generated RTs from large open datasets. 100
Federico D'Atri @fdatri.bsky.social · 15/12/2025Results will be fully explorable through a Shiny App currently under development, allowing researchers to apply different cutoffs and exclusion criteria beyond those preregistered. Here’s how it looks now: 100
Federico D'Atri @fdatri.bsky.social · 15/12/2025This project is among the first to use the preregistration template for simulation studies in psychology by Siepe et al. (@bsiepe.bsky.social, @fbartos.bsky.social ), now adopted as an official template by the Center for Open Science on OSF. 241
Federico D'Atri @fdatri.bsky.social · 15/12/2025We are finishing simulations in Krakow at the Mathematical Cognition and Learning Lab for one of the largest simulation projects comparing mixed-effects models for RTs in Cognitive Science (~1.5M datasets; >7M models). Preregistration: osf.io/3s8cuosf.ioOSF 153
Reposted by Federico D'AtriMathematical Cognition and Learning Lab, UJ @mcll-uj.bsky.social · 28/11/2025We’re excited to welcome @fdatri.bsky.social from the University of Trieste! 🇮🇹 He joins our lab on a study running 1.5 mln simulations using real experimental data, comparing methods for estimating & detecting effects in reaction-time experiments 📉 Link to preregistration below 👇 111
