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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