Hi,
Are you doing this as a path model? Cos I can't imagine having 7
dichotomous level-2 variables that are not dummy variables. If it's a path
model, can you re-express the problem in path model terms?
Thanks.
Tim
"Hochman, Tsivia" <[email protected]>
Sent by: [email protected]
19/08/2005 17:26
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RE: st: GLLAMM question
Thanks for the quick response.
I am trying to run a multilevel logistic regression model. There are 8
dichotomous level-1 variables and 7 dichotomous level-2 variables. I
would like to obtain odds ratios for all level-1 and level-2 variables.
Presently, I am only able to obtain this information for the fixed
effects.
. eq lev_2: var1_2 var2_2 var3_2 var4_2 var5_2 var6_2 var7_2
. xi: gllamm outcome var1_1 var2_1 var3_1 var4_1 var5_1 var6_1 var7_1,
i(idnum) geqs(lev2)
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of
[email protected]
Sent: Friday, August 19, 2005 12:01 PM
To: [email protected]
Subject: Re: st: GLLAMM question
Hi,
the option eqs defines the factor loading for your random factors. The
first loading is by default set to one. If you don't want the default,
you
specify the frload option. Exactly how to specify the model will depend
on
exactly what you want, so if you give more detail, I may be able to give
more help.
Tim
"Hochman, Tsivia" <[email protected]>
Sent by: [email protected]
19/08/2005 16:37
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<[email protected]>
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st: GLLAMM question
I'm running a 2-level model using gllamm. For the level 1 variables
(fixed effects), STATA produces coefficient estimates, standard errors
and
p-values. However, STATA only produces variance and covariance
estimates
for the level 2 variables (random effects). Is it possible to obtain
coefficients estimates and p-values for the random effect component of
this model? HLM6 generates such output.
Thanks.
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