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From |
SamL <saml@demog.berkeley.edu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Second Repost "Simple Cases of Multi-Level Models" |

Date |
Mon, 10 Jun 2002 07:40:56 -0700 (PDT) |

Thanks for your response. However, the time-point issue seemed to confuse matters. It seemed that on that basis alone you suggested I use GLLAMM. But, with all due respect, this suggestion side-steps my question; can one use the XT series for a two-level model if one wants to explain the variation with additional context-level covariates? To focus the question on this aspect, I deleted the time references to simplify the question. Indeed, I can also do so in the analysis; I'll avoid a lengthy substantive exposition here of why this is not a bad idea for my research question, but if you wanna know just send me e-mail. To avoid pestering Rich Goldstein I sent the message to the list, in an effort to overturn the "No good deed goes unpunished" rule. The simplification leaves only two-levels. Can I use the XT-series to do multi-level models as the presentation seemed to suggest? Thanks a bunch. Sam On Mon, 10 Jun 2002, Richard Goldstein wrote: > Since the quote is from a talk I gave, I note to the list that in > private > email, prior to Sam writing to Statalist, I told him that I thought he > had a 3-level model (there are 2 time points). > > Rich Goldstein > > SamL wrote: > > > > My question concerns the XT series of models in STATA. My question is > > whether the XT series allows one to treat second-level variation as > > something to study, rather than simply as a nuisance to be controlled. > > Given my interest in the former, I read with interest the > > presentation/paper titled "Simple Cases of Multi-Level Models" by Richard > > Goldstein at a STATA Users Group Conference, which seemed to suggest that > > the XT series may meet my needs. I presume attending would have clarified > > my question, but given that I was not there I have a question. > > > > My question probably flows from the many different meanings that are > > floating around for the terms that are in use in different disciplines. > > I am specifically interested in the statement on a slide from the talk, > > that reads "I know that the following is true for at least some of the XT > > models and I believe it is true for all of them: they can be used to > > analyze any two-level random intercept model." > > > > My aim is to estimate a model of the following form: > > > > Pr(Y_ij=1) = b1_j White1_ij + b2_j Black1_ij + b3 X1_ij + b4 X2_ij + e_ij > > b1_j = g01 + g11 Z1_j + g21 Z2_j + d1 > > b2_j = g02 + g12 Z1_j + g22 Z2_j + d2 > > b3_j = g03 > > b4_j = g04 > > > > In this model the Zs are measured at the higher level; there are a few > > dozen higher-level entities and lots and lots of lower-level units. The > > aim is to estimate the "effect" of Zs on the black and white intercepts. > > > > That's the set-up. The questions: can this be estimated using the "XT" > > models in STATA? And, if so, how? > > > > Thanks for any references to GLLAMM, but I am familiar with GLLAMM. Any > > insights on this in terms of the XT series of models are greatly > > appreciated. > > > > Thanks a bunch. > > Sam > > > > * > > * For searches and help try: > > * http://www.stata.com/support/faqs/res/findit.html > > * http://www.stata.com/support/statalist/faq > > * http://www.ats.ucla.edu/stat/stata/ > * > * For searches and help try: > * http://www.stata.com/support/faqs/res/findit.html > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**Re: st: Second Repost "Simple Cases of Multi-Level Models"***From:*Richard Goldstein <richgold@ix.netcom.com>

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