Race/ethnicity homogeneity and S for US counties. Nothing is simple.pic.twitter.com/R9LsefAgdj
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@KirkegaardEmil Cool, thanks. G, S, P .. thought complexity was hallmark of the 21st century, not summarizing complex things in 1 var ;)
@EikoFried Sometimes there is central dimension in multidimensional data that usefully summarizes the data.
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@EikoFried Sometimes, the non-general variance seems to be close to entirely useless. Nature is weird. -
@KirkegaardEmil No disagreement with either, since you understand latent as summary. Seems modern to apply realist ontology to latents :/ -
@EikoFried I think a network causal model is probably a good model for S, which I consider a formative construct. A useful summary index. -
@KirkegaardEmil Undoubtedly. Surprised by lots of recent work on biomarkers of formative variables...not sure ppl know what they are doing -
@KirkegaardEmil Seeing that papers are written in a way that understands these social latents as reflective -
@EikoFried The two methods are complementary, no? Does g-loading not correlate ~1 with network centrality? -
@KirkegaardEmil Was talking about substantive interpretation of formative vs reflective latents. Network question seems unrelated to me -
@KirkegaardEmil See@SachaEpskamp forthcoming handbook of psychometrics bookchapter for your question (models can be math. equivalent)
End of conversation
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