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From | Sarah Phillips <sfp@brandeis.edu> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: Cross-classification question |
Date | Mon, 9 Jan 2012 15:02:51 -0500 |
Hello All, I am working on a project that I think requires a cross-classified approach. My data is from 1,000 students, surveyed in approximately 200 classrooms in 1 school. Students took the survey in at least one and often three different classrooms-- i.e. in Math, English, and Science. The data set is organized such that each row is one students' survey responses in one classroom. So, if a student took the survey three times, their responses would be in three different rows. My dependent variable is engagement, which is continuous and specific to whatever classroom a student happened to to be in when they took the survey. My independent variables include several student characteristics as well as student perceptions of their teachers' classroom practices. I believe that my data is cross-classified but I am not sure. Most students belong to more than one classroom in the entire data set, which makes me think that it is cross-classified data. But within each observation every student belongs to just one classroom and my dependent variable is classroom-specific, which is contrary to every example of cross-classification that I have found. Can any of you shed some light on this dilemma for me? Also, if my data is indeed cross-classified, it seems like I can deal with this issue by adding a random-effect for class subject to my model, since each student is only in one classroom for Math, one for English, etc. If so, is this the correct stata syntax for the null model? xtmixed engagement || _all.R.subject || classid:, mle Or, is it: xtmixed engagement || _all.R.subject || _all.R.classid: , mle Thanks so much for your help! Best, Sarah * * 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/