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.
Thanks,
Alice
--- On Thu, 6/18/09, Stas Kolenikov <[email protected]> wrote:
> From: Stas Kolenikov <[email protected]>
> Subject: Re: st: growth curve model with weights
> To: [email protected]
> Date: Thursday, June 18, 2009, 2:15 PM
> On 6/18/09, P C <[email protected]>
> wrote:
> > The sample I will be working on has a large
> sample size. It has over
> > 15,000 cases. Will it take long for gllamm to estimate
> the growth curve model.
>
> 15000 students x 4 waves = 60000 entries... I've just been
> running a
> two-level model (although a relatively more complicated) of
> the
> similar total size, and it took about a day with Stata/MP4.
> This is
> not a cup-of-coffee estimation exercise :((
>
> > When I specify student-level weight like gen wt2
> = [student level weight],
> > suppose I have three waves (w1weight; w2weight;
> w3weight), when I list them
> > in a hierarachical order in the data file, the
> [student level weight] is no more
> > a constant but changes within each respondent, right?
>
> Technically nobody knows if there's a proper way of
> handling these.
> But as a matter of putting those weights as inputs to
> -gllamm-, I
> don't think it cares that much about weights not being
> constant
> (although Sophia can correct me if she reads this :))
>
> > The other thing is that when I specify
> school-level weight,
> > gen wt3 = [school level weight], I should use the
> method suggested
> > in Sophia's paper to construct the school-level
> weight, right?
>
> Frankly I don't remember what she was suggesting. You mean,
> the scaling issue?
>
> --
> Stas Kolenikov, also found at http://stas.kolenikov.name
> Small print: I use this email account for mailing lists
> only.
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