[R-sig-ME] Meaning of Corr of random-effects with a cross-level interaction
@|m@h@rme| @end|ng |rom gm@||@com
Thu Sep 24 18:38:17 CEST 2020
I had a quick question. I have a cross-level interaction in my model below
(ses*sector). My cluster-level predictor "sector" is a binary variable
(0=Public, 1=Private). My level-1 predictor is numeric.
QUESTION: The `Corr = 1` is indicating the correlation between
intercepts and slopes across BOTH public & private sectors (like their
average) OR something else?
hsb <- read.csv('
summary(lmer(math ~ ses*sector + (ses|sch.id), data = hsb))
Groups Name Variance Std.Dev. Corr
sch.id (Intercept) 3.82107 1.9548
ses 0.07587 0.2754 1.00
Residual 36.78760 6.0653
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