I need some advice about a data set I've inherited. In the data, students
have rated professors on their teaching style/ability. The problem is that
students complete several evaluations of different professors as they go
through their rotations. A student may have completed as many as 40
evaluations. In addition, each professor has been evaluated by many
students. The research question is looking at various components of
teaching ratings to predict overall satisfaction. What I'm struggling with
is how to account for the multiple ratings by each student, as well as the
fact that each professor has multiple ratings. I was initially thinking of
hierarchical linear modeling, with student being a level of the hierarchical
model. That leaves me wondering how to handle the multiple ratings of each
professor. Any advice on how to analyze this data set would be greatly
appreciated.
Karen Scheltema, M.A., M.S.
Statistician
HealthEast
1700 University Ave W
St. Paul, MN 55104
(651) 232-5212 fax: (651) 641-0683
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