FYI I ran the crossed models:
xtmixed Score, || _all: R.Rator, covariance(identity) || Application:,
covariance(independent) reml variance
xtmixed Score if Rator != 4, || _all: R.Rator, covariance(identity) ||
Application:, covariance(independent) reml variance
And got ICC estimates of 0.61 and 0.22, respectively, which are
essentially the same as for the fixed effects on Application model,
which isn't surprising. The clear difference between the crossed and
random intercept model will be on the interval estimate, but that's
not available here because estat icc doesn't work.
--
JVVerkuilen, PhD
jvverkuilen@gmail.com
"It is like a finger pointing away to the moon. Do not concentrate on
the finger or you will miss all that heavenly glory." --Bruce Lee,
Enter the Dragon (1973)
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