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st: Multilevel SEM


From   Christopher Salas-Wright <[email protected]>
To   [email protected]
Subject   st: Multilevel SEM
Date   Wed, 21 Dec 2011 10:02:55 -0500

Hi all!  First time writing into statalist.

I have been having difficulty using multilevel (or second-order) structural
equation models using Stata/IC 12.0.  I have had no problem running first
order structural equation models with a combination of observed exogenous
variables and latent endogenous variables using, for example, the following
syntax:

sem (friend5 friend6 <- PEER) (gras7 gras8 <- BELIEFS) (drugcut drugcrit
drugguil alc1 ciga1 drug1 <- SUBST)  (rcope_d -> PEER) (hodge5_d-> PEER)
(empathy_d -> PEER) (ptsd_d -> PEER) (goodlivefam -> PEER) (edusingl->
PEER) (gender-> PEER) (age1-> PEER) (PEER -> BELIEFS) (BELIEFS -> SUBST)
(hodge5_d-> SUBST) (gender->SUBST) (goodlivefam->SUBST) if _mi_m ==0, cov
(e.drugguil*e.drugcut) cov (e.drugcrit*e.drugcut)
cov(e.drugcrit*e.drugguil) method (mlmv) stand

However, I receive a long error message (see below) every time that I try
to write the syntax for a second order model for my dependent variable
(SUBST), using the following syntax:

sem (friend5 friend6 <- PEER) (gras7 gras8 <- BELIEFS) (drugcut drugcrit
drugguil <- ABU) (alc1 ciga1 drug1 <- USE) (ABU USE <- SUBST)  (rcope_d ->
PEER) (hodge5_d-> PEER) (empathy_d -> PEER) (ptsd_d -> PEER) (goodlivefam
-> PEER) (edusingl-> PEER) (gender-> PEER) (age1-> PEER) (PEER -> BELIEFS)
(BELIEFS -> SUBST)   if _mi_m ==0, method (mlmv) stand

This is the error message:

"Fitting baseline model:

Iteration 0:   log likelihood = -3507.3904
Iteration 1:   log likelihood = -3504.3428
Iteration 2:   log likelihood = -3504.3299
Iteration 3:   log likelihood = -3504.3299

              _sem_iv():  3301  subscript invalid
   _sem_build__params():     -  function returned error
           _sem_build():     -  function returned error
           _sem_parse():     -  function returned error
st_sem_parse_and_build():     -  function returned error
                <istmt>:     -  function returned error
r(3301);"


Is anyone aware of the mistake I might be making?  Thank you!  My sample
size is 300.

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