Hi everyone,
I have a dataset with students within classes. I calculated the intra class coefficient already (as a part of the multilevel analysis).
But now I also want to know how similar the answers within the classes are.
Backround: The students were asked to rate the frequencies for different classroom activities in the last few month (e.g. reading a book, watching a movie etc). I want to know if the students in one class experienced the lessons in the same way/remember it the same way. Obviously a great discrepancy would be a bad thing for me, since it would mean, that students in the same class perceived the lessons very differently.
I can't come up with a procedure to get what I want. Do I need to calculate a correlation seperately for each student with every other student in his/her class? Do I need to reshape the dataset to show every class in one row, almost treating it like a inter-rater reliablity test where every students is one 'rater' rating the same issue?
Any suggestions would be greatly appreciated
I have a dataset with students within classes. I calculated the intra class coefficient already (as a part of the multilevel analysis).
But now I also want to know how similar the answers within the classes are.
Backround: The students were asked to rate the frequencies for different classroom activities in the last few month (e.g. reading a book, watching a movie etc). I want to know if the students in one class experienced the lessons in the same way/remember it the same way. Obviously a great discrepancy would be a bad thing for me, since it would mean, that students in the same class perceived the lessons very differently.
I can't come up with a procedure to get what I want. Do I need to calculate a correlation seperately for each student with every other student in his/her class? Do I need to reshape the dataset to show every class in one row, almost treating it like a inter-rater reliablity test where every students is one 'rater' rating the same issue?
Any suggestions would be greatly appreciated

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