@AmirSariaslan Have you looked into network analysis of the P factor? Could be interesting. Requires item-level datapic.twitter.com/P1TVhIn0pB
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@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.
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@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 … - 1 more reply
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