[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]
Re: st: Contextual analysis
Fernando Proietti <firstname.lastname@example.org> 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
Individual level: for example, age, sex, personal income, formal
Aggregated level (Census tracts characteristics where participants are
nested): for example, Average Income, Average Age, % of roads that have
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.
* For searches and help try: