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From |
Stas Kolenikov <skolenik@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: growth curve model with weights |

Date |
Thu, 18 Jun 2009 13:15:04 -0500 |

On 6/18/09, P C <calicep@yahoo.com> 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. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**RE: st: growth curve model with weights***From:*P C <calicep@yahoo.com>

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