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

st: Longitudinal study and complementary information

From   "Alvaro Zevallos" <[email protected]>
To   <[email protected]>
Subject   st: Longitudinal study and complementary information
Date   Wed, 30 Jan 2008 13:11:32 -0500

Dear Statalisters

I'm working with a database of a longitudinal study of 100 observations (school students). The first round was in 2000 and the second one in 2007. In 2007 our students were spread in different classrooms with students who didn't participate in the original sample. We decided to collect information of these non original sample students and now we are looking for the best way to incorporate the information in our analysis.

We are thinking of using a linear model like this

Yij = f(Xij,Zj)

Where Yij is the outcome, Xij the characteristics of the students in both rounds and Zj the "characteristics" of the classmates (maybe the mean of NSE). Another problem is we are not able to use the approach of a hierarchical model because we have few observations in each classroom.

I will be grateful for any comment,


* For searches and help try:

© Copyright 1996–2024 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index