I'm relatively new to mixed linear models. I have a dataset of education data measuring classroom behaviours (continuous dependent variable) during two different learning activities (categorical repeated measure). We collected data over 6 weeks in 9 classrooms, so we have a measure of classroom behaviour for each learning activity over 6 time points for each of the nine classrooms.
Our primary question is whether the number of behaviours (DV) differed between the two learning activities. I figured using mixed effects models (using SPSS) was most appropriate, as our dependent variable is nested within the timepoints, which are nested within the classrooms. We wanted to account for any dependencies between the observations. I've been having a hard time finding similar examples for this kind of design.
So far I have figured to run an analysis using learning activity as a fixed effect, with random intercepts for time and time*classroom, but I'm unsure if this is the correct way to approach this analysis. Any advice is greatly appreciated.