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Re: st: SEM & degrees of freedom
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: SEM & degrees of freedom
Date
Tue, 7 Jan 2014 14:49:21 +0000
Your previous posts got through, as a simple check of the archives would show
http://www.stata.com/statalist/archive/2013-12/msg00786.html
http://www.stata.com/statalist/archive/2013-12/msg00787.html
I can't comment on why no-one answered. See
http://www.stata.com/statalist/archive/2014-01/msg00055.html
for a reminder that Statalist is not a help line, so no-one is obliged
to reply. The same post underlines the spelling "Stata".
Nick
[email protected]
On 7 January 2014 14:25, Daniel Coulombe <[email protected]> wrote:
> Hello,
>
> This is the third time I am sending this question to the list. I have not
> yet received a single reply. I wonder if my message effectively get through
> the list. Can I get a confirmation that this is read?
>
> Can anybody tell me why the number of degrees of freedom is the same for the
> two following model specifications :
>
> 1: sem (Verbal@bv -> word similar) (NVerbal@bn -> matrices seq_quan)
> (Spatial@bs -> pattern r_design), covstruct(_lexogenous, diagonal) stand
> cov( NVerbal*Verbal Spatial*Verbal Spatial*NVerbal)
>
> 2: sem (Verbal -> word similar) (NVerbal -> matrices seq_quan) (Spatial ->
> pattern r_design), covstruct(_lexogenous, diagonal) stand cov(
> NVerbal*Verbal Spatial*Verbal Spatial*NVerbal)
>
> In model 1, I constrain to equality the coefficients for each factors, thus
> gaining 3 degrees of freedom over the unconstrained model 2. But when I run
> these, I get 6 degrees of freedom for BOTH models!
>
> LR test of model vs. saturated: chi2(6) = 29.28, Prob > chi2 = 0.0001
> for model 1 DF should be equal to 9
> LR test of model vs. saturated: chi2(6) = 9.76, Prob > chi2 = 0.1351
> for model 2 DF is correct (at 6)
>
> Do I oversee something, or there is a bug in STATA 13 SEM?
>
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