Statalist


[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

st: RE: swapping levels in mixed models


From   Garry Anderson <g.anderson@unimelb.edu.au>
To   statalist@hsphsun2.harvard.edu
Subject   st: RE: swapping levels in mixed models
Date   Thu, 06 Sep 2007 14:19:32 +1000

Hi Nicola,
 
The following may be helpful
 
Predicting Group-Level Outcome Variables From Variables Measured at
the Individual Level: A Latent Variable Multilevel Model.
By Croon, Marcel A.; van Veldhoven, Marc J. P. M.
Psychological Methods. 2007 Mar Vol 12(1) 45-57
 
Regards, Garry
Email:  g.anderson@unimelb.edu.au
 

________________________________

From: owner-statalist@hsphsun2.harvard.edu on behalf of nicola.baldini2@unibo.it
Sent: Mon 03/09/2007 20:32
To: statalist@hsphsun2.harvard.edu
Subject: st: swapping levels in mixed models



In many examples which I found on the web using SAS or Stata, the student-level outcome is predicted using student-level and school-level covariates.
Is it insane to ask Stata, e.g. to predict school-level number of students passing the math exam (or their percentage on the number of enrolled students) using information about gender and socio-economic status?
If no, can I just use a school-level y or should I modify the usual command syntax in -gllamm- (and how)?

Nicola
*
*   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/


<<winmail.dat>>




© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index