Karoline Huth
Researcher @ University of Amsterdam
(Applied) Statistics | Bayesian | Networks | R software | Data Science | Climate Change
- Reposted by Karoline HuthCall for Applications! APS's Editorial Fellowship Program (EFP) is now OPEN #AcademicSky 📝 Evaluate submitted manuscripts 🔍 Select and invite reviewers 🤝 Receive mentorship across five APS journals 💵 US $1,000 stipend Learn more & apply by February 6 www.psychologicalscience.org/publications...
- Reposted by Karoline HuthWe are beyond excited to announce that the applications are now open for the third Amsterdam Complexity School on Climate Change! Come visit a beautiful city, hear from world-renowned experts, and work with passionate individuals on challenges related to climate change. More info: acscc.nl
- Happy to share that our large-scale network analysis is now out in @nathumbehav.nature.com We show that networks are often supported by too little evidence from the data for results to be reported with confidence, not meaning that results are flawed but rather suggests caution in interpretation.
- Are psychometric networks sufficiently supported by data such that one can be confident when interpreting its results? We analysed 294 psychometric networks from 126 papers with the Bayesian approach to address this question @jmbh.bsky.social Sara Ruth van Holst @maartenmarsman.bsky.social 🧵
- Statistical Evidence in Psychological Networks: A Bayesian Analysis of 294 Networks from 126 Studies: osf.io/62ydg/
- 80% of all edges in the analyzed networks lack sufficient data support to confirm their presence or absence. One-third show inconclusive evidence (BF < 3), half show weak evidence (BF 3–10), and fewer than 20% show compelling evidence (BF > 10).
