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From | "Joseph Coveney" <stajc2@gmail.com> |
To | <statalist@hsphsun2.harvard.edu> |
Subject | st: Re: Intercepts and Slopes as Outcome Model, xtmixed |
Date | Sat, 15 Jun 2013 16:21:44 +0900 |
Saul G. Alamilla wrote: I am interested in estimating an intercepts and sloes as outcome model in Stata (11.2) using xtmixed (however, I am open to using other estimation or procedural methods; e.g., hlm in Stata). Here's the model I would like to estimate, in the abstract and in level notation (Raudenbush &Bryk, 2002): Level 1: Yij = b0j + b1jXij +eij, Level 2: b0j= g00+ g01Wj+m0j b1j= g10+ g11Wj+m1j, where b_j refers to the slope for level 1 intercept/predictors, g_j refer to the slope for level 2 predictors, eij refers to level 1 error, and m_j refer to level 2 error. How would/could I run such a model using xtmixed in Stata? Is xtmixed capable of running such a model? -------------------------------------------------------------------------------- Would comparing these two URLs help: http://www.ats.ucla.edu/stat/hlm/examples/imm/chapter3.htm (showing Raudenbush-Bryk notation in HLM screenshots), and http://www.ats.ucla.edu/stat/stata/examples/mlm_imm/immch3.htm (showing corresponding syntax for Stata's -xtmixed-)? Joseph Coveney * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/