Karoline Huth
@karolinehuth.bsky.social
Researcher @ University of Amsterdam
(Applied) Statistics | Bayesian | Networks | R software | Data Science | Climate Change
(Applied) Statistics | Bayesian | Networks | R software | Data Science | Climate Change
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.
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.
Psychometric network models have become increasingly popular in psychology and the social sciences. Huth et al. show that many reported network findings are based on weak or inconclusive evidence inviting caution when interpreting results.
Statistical evidence in psychological networks - Nature Human Behaviour
Psychometric network models have become increasingly popular in psychology and the social sciences. Huth et al. show that a large proportion of reported network findings are based on weak or inconclusive evidence inviting caution when interpreting results.
www.nature.com
October 13, 2025 at 8:36 AM
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.
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: http://osf.io/62ydg/
January 24, 2025 at 11:02 AM
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 🧵
Reposted by Karoline Huth
Eager to tackle challenges related to climate change?
Then apply for the upcoming Amsterdam Complexity School on Climate Change (ACSCC), hosted by the Institute for Advanced Study, which brings together early-career researchers from all disciplines and non-academic stakeholders.
Website: acscc.nl
Then apply for the upcoming Amsterdam Complexity School on Climate Change (ACSCC), hosted by the Institute for Advanced Study, which brings together early-career researchers from all disciplines and non-academic stakeholders.
Website: acscc.nl
November 12, 2024 at 10:54 PM
Eager to tackle challenges related to climate change?
Then apply for the upcoming Amsterdam Complexity School on Climate Change (ACSCC), hosted by the Institute for Advanced Study, which brings together early-career researchers from all disciplines and non-academic stakeholders.
Website: acscc.nl
Then apply for the upcoming Amsterdam Complexity School on Climate Change (ACSCC), hosted by the Institute for Advanced Study, which brings together early-career researchers from all disciplines and non-academic stakeholders.
Website: acscc.nl