⚡️ For a tutorial paper I'm working on with
@sachaepskamp, we are looking for #OpenAccess panel #data 🚨
- Data published online or that can be made available
- Repeated measures, minimum 3 timepoints
- Equidistant (same timeperiod between each assessment wave; e.g. same participants are measured every month)
Open to any subfield of psych & does not need to be restricted to #psychology
Thank you in advance!
We'll use a small subset of the data for demo purposes.
I was lucky to be part of my alltime favourite collaboration initiated and led by @JulianBurger and Lars Klintwall. In this project we introduce Longitudinal Perceived Causal Relations (L-PCR) to construct personalized networks using daily self-reported and perceived causal relations.
There's a ton of additions and extensions possible, but the beginning is already pretty promising ✨ !
🔗 Preprint: psyarxiv.com/e93xd/
Great paper highlighting that we should not confuse the variability of individual estimates due to sampling noise with true heterogeneity across individuals (in this case, when estimating idiosyncratic networks):
Heterogeneity in Individual Network Analysis: Reality or Illusion?
(by Kia Hoekstra, Sacha Epskamp & @dennyborsboom)
https://www.tandfonline.com/doi/full/10.1080/00273171.2022.2128020
Omid V. Ebrahimi
Daniel Heck