I use spss 20.
I have data of approximately 1200 students, collected in about 60 different classrooms.
I want to do different kinds of analyses, but to keep things simple, let's say I have only scale variables and I want to do some correlations and some multiple regressions.
I want to predict variabel Y (which is loneliness).
However, students from the same classrooms may share some common attitudes or behaviours (i.e., clustering) that may account for some of the variance in loneliness. This clustering should therefore be taken into account when doing analyses.
So basically, the question is, how can I do correlations / regressions while taking the fact into account that I don't have truly individual data but rather individual data nested within clusters.
In Mplus this is easily done, by just adding some lines to the syntax. It would be great if this could be done in spss also, by some sort of pre-setting that can just be added to the syntax, rather than a complete new set of analyses.
But I am open to any suggestion.