On Oct 15, 2013, at 3:32 AM, Martin Batholdy wrote:
Dear R-list,
I am currently working on a dataset with a colleague who uses stata.
We fit a random intercept model to the data (decisions clustered in
participants) and get closely the same results in stata (using xtreg
re) and R (using the lme4 or multilevel package).
Now in stata, there is an additional option for the regression to
control for clustering; the vce(cluster clustvar) option, which
changes the standard errors quite a bit.
(see http://www.stata.com/support/faqs/statistics/standard-errors-and-vce-cluster-option/
or http://www.stata.com/manuals13/xtxtreg.pdf).
Unfortunately I don't understand what this 'correction' does and why
it yields different results.
First I thought it would control for autocorrelations over time
(decisions), but if I model this directly with a random-intercept
random-slope model, I don't get nearly the same results.
Can someone help me understand what stata is doing here?
And what would be the equivalent in R to get similar results?
http://www.stata.com/statalist/
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