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Re: st: growth curve model with weights


From   P C <calicep@yahoo.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: growth curve model with weights
Date   Fri, 19 Jun 2009 07:20:57 -0700 (PDT)

What do you mean by "on a parallel computer, -gllamm- under Stata/MP4 or MP8?" What is MP4/MP8?
Thanks! 

--- On Thu, 6/18/09, Stas Kolenikov <skolenik@gmail.com> wrote:

> From: Stas Kolenikov <skolenik@gmail.com>
> Subject: Re: st: growth curve model with weights
> To: statalist@hsphsun2.harvard.edu
> Date: Thursday, June 18, 2009, 3:00 PM
> I don't really know if Mplus will
> handle the weights the way you want.
> But other than that it might just compute all the
> within-between-whatever matrices at different levels and
> run the model
> very quickly with them I don't really know much more
> though. -gllamm-,
> on the other hand, works by integrating everything
> numerically, and
> that's why it is so slow. Sophia herslef discrecommends
> -gllamm- for
> continuous response data. If Mplus would also have to do
> integration,
> it would probably be through a faster binary code (rather
> than the
> interpreted code of -gllamm-). On the other hand, on a
> parallel
> computer, -gllamm- under Stata/MP4 or MP8 might beat Mplus
> since Stata
> is parallelized (and I doubt Mplus is).
> 
> You should be able to get decent starting values from
> unweighted
> analysis using -xtmixed-. Good starting values can improve
> estimation
> time by a factor of two.
> 
> On 6/18/09, P C <calicep@yahoo.com>
> wrote:
> > Wow, it does take a lot of time. I heard about the
> negative side of gllamm. I am wondering whether I should try
> Mplus. Do you know if it does a better job (time-wise) for
> this kind of modelling?
> >
> >  There is a need for special handling of the
> school-level weights. I am trying to understand it from her
> paper but it's not just as simple as scaling.
> 
> -- 
> Stas Kolenikov, also found at http://stas.kolenikov.name
> Small print: I use this email account for mailing lists
> only.
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