Emil O W Kirkegaard

@KirkegaardEmil Of course I have - you should follow @EikoFried

@AmirSariaslan @KirkegaardEmil Network model & P are mutually exclusive explan. of covariance among items, no? Common cause vs interaction.

@EikoFried @AmirSariaslan Not at all. Networks are an alternative causal explanation of the existence of the co-variance. :)

@KirkegaardEmil @AmirSariaslan Yes, reflective factor & networks differ in explanation of why items covary (common cause vs. interaction)

@EikoFried @AmirSariaslan Perhaps the P factor is a collective property of the nodes, e.g. avg. strength of relaying bwtn P-nodes.

@EikoFried @AmirSariaslan In my simple simul of a network, g factor ≈ rate of relaying which I interpret as learning https://osf.io/myxfv/files/ 

@KirkegaardEmil @AmirSariaslan colleague of mine working on similar questions, really cool to see more people investigating that! @rogierK

@EikoFried @AmirSariaslan @rogierK Actually, I wanted to show that this guy was wrong. :) http://www.sciencedirect.com/science/article/pii/S0160289616300216 …