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From | Joerg Luedicke <joerg.luedicke@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: question about hierarchical model |
Date | Thu, 21 Apr 2011 17:27:00 -0400 |
On Thu, Apr 21, 2011 at 4:59 PM, Visintainer, Paul <Paul.Visintainer@baystatehealth.org> wrote: > I'm stumped on how to approach this model. > > Suppose I have 30 teachers each of whom have a single performance rating from the principle (or headmaster). Each teacher has 20-30 students (not crossed) who have completed student evaluations. The question is what is the association between performance ratings and student evaluations? > > What I'm confused about is that I have level-2 dependent variable with level-1 and level-2 predictors (e.g. teacher age and teacher gender) > > I thought that the following model might work: > > .xtmixed t_perform s_eval t_age t_sex || s_eval: , mle > > > But I don't think this is correct model, because it regress Yi on Xij and Xi predictors? > > Can this problem be addressed using -xtmixed- or is a different approach required? > You are right regarding your concerns about your outcome measure. You cannot have a level2 outcome in a 2level model since you would basically predict a constant within each group (teachers in your case). Regarding your research question: "what is the association between performance ratings and student evaluations?" I would start with simply taking the average of student ratings for each teacher and then correlate the 2 measures or run a regression with those 30 teachers. That could answer your question already. But others may have better ideas. J. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/