@alephlove @Durwez .. centrality estimates (under a larger number of assumptions) map cleanly on factor loadings. But it's been a while since I read that paper. See eg here for a neat primer on merging both modeling frameworks: https://t.co/qlKaJKBCEY
@tailcalled @pbeloborodova @SachaEpskamp Check out the abstract! https://t.co/1yqkL0Lo5S
@tailcalled @pbeloborodova @SachaEpskamp Check out the abstract! https://t.co/1yqkL12Zus
@pbeloborodova To apply this exploratorily, @SachaEpskamp 's psychonetrics package has Residual Network Models that you can use. Disclaimer: I haven't used this package as I tend to roll my own code. https://t.co/T1kUSfzdKU
@danielj_redhead this is super cool! I was just trying to setup something like this, so I might be biased, tho'... How easy is it to extend it to residual network models (e.g. https://t.co/KWcYW7QOOs)
@LuisEdGarrido @paperbag1 @Research_Tim Measurement error in network models was solved in 2017, Luis. https://t.co/0f7MEiBTCO
@aidangcw 2. The lvglasso in fig 9 was something I investigated and implemented(ish) in lvnet (I call them residual network models). I did not like its performance, and took the SEM angle instead, described in https://t.co/upwYbnFPuK. I recently replaced l
@chrisharms And here is an integration of both by the incomparable @SachaEpskamp. https://t.co/qlKaJKTe3y
@chchatham @fusaroli @twiecki Drugs require targeting a mechanism, which is usually not unobserved (latent). You can model reflective latents also in a network, see below. I'll not answer the "theoretically obligated" question without my lawyer. ;) htt
@RichardBentall @paperbag1 @JAMAPsych Yes, @SachaEpskamp's 'lvnet' can tackle this, which is indeed a combination of SEM and network models: https://t.co/qlKaJKTe3y We also discuss this possibility briefly in the Perspectives challenges paper, & have
Generalized Network Psychometrics: Combining Network and Latent Variable Models. by Epskamp S, Rhemtulla M, Borsboom D https://t.co/0Hov7juJRN
@aidangcw @JAMAPsych You miss the point. You say they just "publish a correlation matrix", while actually, they use machine learning techniques to exploratively estimate a psychometric model (https://t.co/upwYbnFPuK), further evaluated using bootstraps. Ho
Developing scales, exploring dimension in data? Check network analyses as alternative to exploratory factor analyses - https://t.co/IBDdXhdoU8 and example: https://t.co/n0tRYSoDrn #scales https://t.co/r6qfO80LNI
RT @SachaEpskamp: https://t.co/EG8iVZNN6d has been awarded the best paper award 2017 of the Dutch graduate school of psychometrics (IOPS)!…
RT @SachaEpskamp: https://t.co/EG8iVZNN6d has been awarded the best paper award 2017 of the Dutch graduate school of psychometrics (IOPS)!…
https://t.co/EG8iVZNN6d has been awarded the best paper award 2017 of the Dutch graduate school of psychometrics (IOPS)! https://t.co/zchezDWtPJ
Epskamp et al Generalized Network Psychometrics: Combining Network and Latent Variable Models. https://t.co/eUlIjSWlLa I want the code!
RT @SachaEpskamp: Pre-print online (submitted to Psychometrika). SEM + network models. With #rstats package! https://t.co/IEjV6V3qle https:…
RT @TessaWestNYU: Cool new approach to modeling social networks using SEM https://t.co/RiyO1h6ypj
RT @TessaWestNYU: Cool new approach to modeling social networks using SEM https://t.co/RiyO1h6ypj
RT @TessaWestNYU: Cool new approach to modeling social networks using SEM https://t.co/RiyO1h6ypj
RT @TessaWestNYU: Cool new approach to modeling social networks using SEM https://t.co/RiyO1h6ypj
Cool new approach to modeling social networks using SEM https://t.co/RiyO1h6ypj
Combining network and latent variable models, from @mijkenijk and others: https://t.co/lo8qAD3meK
Amazing work by @SachaEpskamp Possibility of modeling LVs and residuals as network structures https://t.co/nkHfkNye5h
My paper on generalizing network modeling and structural equation modeling has now been published in Psychometrika! https://t.co/upwYbnXqmi https://t.co/pGtz5W6KJf
Preprint from @SachaEpskamp: Latent variable models in SEM are reparameterizations of latent network models https://t.co/5OP8jcEGv5
RT @SachaEpskamp: @EikoFried @psforscher See https://t.co/EG8iVZNN6d on that. Also relevant is my chapter https://t.co/b3jwf3zics.
@EikoFried @psforscher See https://t.co/EG8iVZNN6d on that. Also relevant is my chapter https://t.co/b3jwf3zics.
RT @SachaEpskamp: Pre-print online (submitted to Psychometrika). SEM + network models. With #rstats package! https://t.co/IEjV6V3qle https:…
RT @SachaEpskamp: My paper on combining network models and SEM has been accepted pending minor revisions in Psychometrika!!! https://t.co/I…
RT @SachaEpskamp: My paper on combining network models and SEM has been accepted pending minor revisions in Psychometrika!!! https://t.co/I…
RT @SachaEpskamp: My paper on combining network models and SEM has been accepted pending minor revisions in Psychometrika!!! https://t.co/I…
My paper on combining network models and SEM has been accepted pending minor revisions in Psychometrika!!! https://t.co/IEjV6V3qle
RT @SachaEpskamp: Pre-print online (submitted to Psychometrika). SEM + network models. With #rstats package! https://t.co/IEjV6V3qle https:…
RT @SachaEpskamp: Pre-print online (submitted to Psychometrika). SEM + network models. With #rstats package! https://t.co/IEjV6V3qle https:…
RT @SachaEpskamp: Pre-print online (submitted to Psychometrika). SEM + network models. With #rstats package! https://t.co/IEjV6V3qle https:…
RT @SachaEpskamp: Pre-print online (submitted to Psychometrika). SEM + network models. With #rstats package! https://t.co/IEjV6V3qle https:…
RT @SachaEpskamp: Pre-print online (submitted to Psychometrika). SEM + network models. With #rstats package! https://t.co/IEjV6V3qle https:…
Pre-print online (submitted to Psychometrika). SEM + network models. With #rstats package! https://t.co/IEjV6V3qle https://t.co/X1nxJzZ6nv
Generalized Network Psychometrics: Combining Network and Latent Variable Models https://t.co/XULiakurLO #arxiv
Generalized Network Psychometrics: Combining Network and Latent Variable Models. https://t.co/OGNbLZUDp6
Epskamp, Rhemtulla, Borsboom : Generalized Network Psychometrics: Combining Network and Latent Variable Models https://t.co/XrWI29FpNS