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st: Generating multilevel data
From
"Brincks, Ahnalee" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: Generating multilevel data
Date
Wed, 23 Mar 2011 14:44:13 -0400
Hello,
I am new to the list, though I've combed through the archives many, many times (thank you for this terrific resource).
My question is this: I need to generate 3 level hierarchical data for use as sample data in my dissertation. I would like to use Stata, however, I am running into some trouble with the programming.
Initially, I would like to create a single response variable (Y) and a single predictor (X). The model will include both a random intercept and random slope at level-1, a random intercept and fixed slope at level-2. The complete model would look like this:
Level-1
Yijk = p0jk = p1jk(Xijk) + eijk
Level-2
p0jk = b00k + r0jk
p1jk = b10k + r1jk
Level-3
b00k = g000 + u00k
b10k = g100
Full Model
Yijk = g000 + g100(Xijk) + eijk + r0jk + r1jk(Xijk) + u00k
I would like to be able to define:
g000 (the grand mean)
var(X)
var(e)
var(r0jk)
var(r1jk)
var(u00k)
I've found some code in the archives: http://www.stata.com/statalist/archive/2008-12/msg00929.html
This addresses a similar problem in a two-level framework. However, I'm having some trouble understanding past the matrix formation (in particular, how to create a Yij from y1, y2 and y3). This approach seems to be working with deviations from the mean, and I need a model that does not.
Thank you for any help you can provide. My preference is to stay with Stata commands (as opposed to calling mata from within Stata) simply because I am more familiar with them.
~ ahnalee
Ahnalee Brincks
PhD Student
University of Miami
[email protected]<mailto:[email protected]>
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