@EikoFried you helped write an influential paper on psychological networks, and assessing their accuracy (https://t.co/NWueacE6LD). But the methods seem to all involve "in-sample" accuracy. Does this ignore out-of-sample accuracy? (hope this makes sense?)
@dp_moriarity @seanpmackinnon @EikoFried @EikoFried already said it, but thought I'd pull an excerpt from one of his papers distinguishing psychological networks from other network structures (such as social networks) Linking his paper as well: https://t.
@bmwiernik @SachaEpskamp I have some network envy but don’t swim deep in these waters, so grain of salt… Beyond Sacha’s diss., for the math, perhaps: https://t.co/tgY3BLakz2 and for a more accessible implementation: https://t.co/3nTlzbT394. I know that he
@schotz Interesting issue. For the below paper, I found that the terms reliability / accuracy / precision / stability are used with different meanings in adjacent areas. You talk about true scores of sample, others of true score of population. Then you can
@EikoFried @SachaEpskamp Sort of - you can go to an article, click metrics and look at the overall and BRM scoring: https://t.co/QyFSCRW0xD ... I just was presented a summary report of what was being most cited this year 🥰
RT @EvanMcCuish: Code for our paper can be found here: https://t.co/KXGZIuoSNw I hope, anyway. This is my first github experience. Please…
RT @EvanMcCuish: Code for our paper can be found here: https://t.co/KXGZIuoSNw I hope, anyway. This is my first github experience. Please…
RT @EvanMcCuish: Code for our paper can be found here: https://t.co/KXGZIuoSNw I hope, anyway. This is my first github experience. Please…
RT @EvanMcCuish: Code for our paper can be found here: https://t.co/KXGZIuoSNw I hope, anyway. This is my first github experience. Please…
RT @EvanMcCuish: Code for our paper can be found here: https://t.co/KXGZIuoSNw I hope, anyway. This is my first github experience. Please…
Code for our paper can be found here: https://t.co/KXGZIuoSNw I hope, anyway. This is my first github experience. Please let me know of any issues. There are some amazing tutorial papers on network analysis. This one got me started (open access): https
Estimating psychological networks and their accuracy: A tutorial paper https://t.co/xY3jfndLhC
https://t.co/iWsxxcTzUm I recommend for anyone who is interested in why researchers should investigate the accuracy of psychological networks! https://t.co/t8C0bSOX6C
RT @EikoFried: @eliaseythorsson Primer 1: https://t.co/DCwk7KsxyN Primer 2: https://t.co/yJn5G7Yp7d Summary of primer papers: https://t.c…
RT @EikoFried: @eliaseythorsson Primer 1: https://t.co/DCwk7KsxyN Primer 2: https://t.co/yJn5G7Yp7d Summary of primer papers: https://t.c…
@eliaseythorsson Primer 1: https://t.co/DCwk7KsxyN Primer 2: https://t.co/yJn5G7Yp7d Summary of primer papers: https://t.co/8JVlZrP6AQ Hope this helps!
@jalapic Documentation of #bootnet package is very thorough, due to the hard work by @SachaEpskamp. We also have two tutorial papers on #bootnet: one for bootstrapping (https://t.co/yJn5G7Yp7d), one for estimation (https://t.co/sXhXtGJEa8; accepted in ps
@robustgar @SachaEpskamp It's meant for a large number of partial correlations but should work for correlations too I believe (never actually tried). Yes, spearman/polychoric/Pearson. Paper w description: https://t.co/8GpcI8X7AQ
RT @EikoFried: Betweenness centrality is often unstable, i.e. the order changes in subsets of the data. We have developed a method to estim…
RT @EikoFried: Betweenness centrality is often unstable, i.e. the order changes in subsets of the data. We have developed a method to estim…
RT @EikoFried: Betweenness centrality is often unstable, i.e. the order changes in subsets of the data. We have developed a method to estim…
RT @EikoFried: Betweenness centrality is often unstable, i.e. the order changes in subsets of the data. We have developed a method to estim…
Thanks for sharing! Useful... Estimating psychological networks and their accuracy: A tutorial paper https://t.co/YtDpK1g59z
Betweenness centrality is often unstable, i.e. the order changes in subsets of the data. We have developed a method to estimate this, which gives you a stability coefficient between 0 and 1 (https://t.co/yJn5G7Yp7d). What many people do not know yet (cli
@mcmullarkey 2/2 So if the CI includes the 0, that does *not* mean we should consider the edge to be zero. See screenshot from the supplementary of the preprint. See also the reference to @SachaEpskamp's bootnet paper where we tackle this point specifica
RT @EikoFried: @tekraynak @tompollak Very good question, @SachaEpskamp & myself spent a considerable time of our last 2 years working on th…
@tekraynak @tompollak Very good question, @SachaEpskamp & myself spent a considerable time of our last 2 years working on this. The answer is available in this paper and the accompanying #rstats package bootnet [results for inflammation paper: see supp
@dan_marinazzo @SachaEpskamp It depends on your research question. If you just want to fit networks for practice, there are many datasets online; see suppl materials of these 4 papers: https://t.co/s47QmFkAGw https://t.co/9YxvUffSTt https://t.co/BnJwtlb
@shom_mazumder @aecoppock @TheBrettGall @NathanKalmoe Note that I'm using partial correlations based on work by some psychologists, e.g., https://t.co/DVVgQnNs7C (and more)
@Research_Tim (details: https://t.co/esS3LS3Ea3)
RT @EikoFried: @AntoViral cf. here for a recent example. https://t.co/yJn5G7Yp7d
@AntoViral cf. here for a recent example. https://t.co/yJn5G7Yp7d
@CharlesDriverAU @SachaEpskamp @aidangcw @DBsamuel_phd worked hard to allow people look into parameter stability in cross-sectional models (https://t.co/yJn5G7Yp7d); luckily embraced by field >
@dingding_peng @JessieSunPsych BUT: need to look into stability and replicability bc models require many parameters. Many big challenges ahead. https://t.co/yJn5G7Yp7d https://t.co/8v5r4haVoA
RT @EikoFried: > In cross-sect models this is fairly well understood by now, and reporting stability *necessary* for publ paper. https://t…
> In cross-sect models this is fairly well understood by now, and reporting stability *necessary* for publ paper. https://t.co/8GpcI8X7AQ
Estimating psychological networks and their accuracy: A tutorial paper https://t.co/D5A4NxI4iw
Estimating psychological networks and their accuracy: A tutorial paper https://t.co/5S6EfooQV5 BehResM
Estimating psychological networks and their accuracy: A tutorial paper https://t.co/5fn7yuJ8NF
RT @EikoFried: Woot woot woot ;-) ... our paper on network accuracy and stability is finally online (with @SachaEpskamp) https://t.co/yJn5…
RT @EikoFried: Woot woot woot ;-) ... our paper on network accuracy and stability is finally online (with @SachaEpskamp) https://t.co/yJn5…
Woot woot woot ;-) ... our paper on network accuracy and stability is finally online (with @SachaEpskamp) https://t.co/yJn5G7Yp7d