|
[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]
Re: st: Contextual analysis
From
"Anders Alexandersson" <[email protected]>
To
[email protected]
Subject
Re: st: Contextual analysis
Date
Thu, 8 Jun 2006 16:23:41 -0400
Fernando Proietti <[email protected]> wrote, I summarize:
I have a dataset, from a health survey we conducted. There are about
20,000 participants. Participants are nested in what could be called in
the US as census tracts.
Right now, I am planning a Contextual analysis (the dependent variable =
Self-rated Health, 3 levels) and the explanatory variables measured at
two levels:
Individual level: for example, age, sex, personal income, formal
education
Aggregated level (Census tracts characteristics where participants are
nested): for example, Average Income, Average Age, % of roads that have
sidewalks.
How could I conduct analysis of this type in Stata ?
I am worried with what some authors report as " the residual correlation
between outcomes within groups that may persist after accounting for
individual-level and group-level variables included in the analysis"
I would consider gllamm. See www.gllamm.org and the reference:
Rabe-Hesketh, S. and Skrondal, A. (2006). Multilevel modeling of
complex survey data. Journal of the Royal Statistical Society, Series
A. In press.
--Anders Alexandersson
[email protected]
*
* 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/
© Copyright 1996–2024 StataCorp LLC | Terms of use | Privacy | Contact us | What's new | Site index |