Science Fair data
Whoops, I should say also that we're trying to test and see if 'Division' (representing student age) has a significant effect, (or can be used to roughly predict) student score.
On Mon, Jan 25, 2010 at 1:29 PM, Doug Adams <dougadams53 at gmail.com> wrote:
Hi everyone, I had posted a question on the R Help forum previously about my syntax of what I was trying to do with this dataset... ?But now I'd like to get an opinion if I'm thinking about it correctly after all. ?I've got data for a science fair, and here's what I have for each student: School District School Teacher Division (Elementary, Junior, High) Student, and several scores for each student project My committee & I decided there aren't enough teachers within each school to warrant using Teacher as a level in a hierarchical model, so we decided to go with just 'School' and 'Average Student Project' as the two levels in the model. ?The problem is that sometimes there is only 1 student from a given school, although it doesn't happen too often. ?Is HLM theory robust enough that that will still give pretty reliable results? Does this all sound correct so far? ? :-) ? And another question: if I were to include District as a third level, would this look right? lmer(score ~ division + (1|school|district), data=Age6m) Thanks for reading my novel ?:) Doug Adams