These are the slides for a very nice webinar presented by Eiko Fried. Dr. Fried provided a wealth of resources during his webinar (some of these are behind pay walls).
He offered examples of network analysis in the study of bereavement and depression and of [post-traumatic stress disorder][frie2]. He also provided tutorial papers on [network models with binary data][frie3] and [regularized partial correlation networks][frie4], as well as a nice general [overview of network models in mental health][frie5]. He shared a blog posting on [the relationship between a latent variable model and a network model][frie6] and a facebook page on [psychological dynamics][frie7]. He also showed analyses from several R packages, [qgraph][frie8], [IsingFit][frie9], and [bootnet][frie10]. I’m putting those links here so I don’t lose track of them when I revisit this stuff six months from now.
Eiko Fried. Network analysis in cross-sectional data using R. Available in [html format][frie11].
You can find an earlier version of this page on my blog.
[frie2]: https://www.ncbi.nlm.nih.gov/pubmed/27936411) [frie3]: https://www.nature.com/articles/srep05918 [frie4]: https://arxiv.org/abs/1607.01367 [frie5]: https://link.springer.com/article/10.1007%2Fs00127-016-1319-z [frie6]: http://psych-networks.com/meaning-model-equivalence-network-models-latent-variables-theoretical-space/ [frie7]: https://www.facebook.com/groups/PsychologicalDynamics/ [frie8]: https://cran.r-project.org/web/packages/qgraph/index.html [frie9]: https://cran.r-project.org/web/packages/IsingFit/index.html [frie10]: https://cran.r-project.org/web/packages/bootnet/index.html) [frie11]: http://eiko-fried.com/ASAwebinar2017/