Hi, Karen! Interesting problem. You mention students (each of which has
made a variable multiplicity of ratings on professors), and professors
(each of which has received a variable multiplicity of ratings from
students). You do not mention courses. Are all these ratings for a
single course? (If so, how do you get up to 40 ratings from one
student??) If not, I'd be inclined to divide the data by course:
a professor's "teaching style/ability" might well be different, or
perceived differently, in different courses.
If students do not have multiple professors for a given course,
this might simplify the structure of your data enough to make the
problem tractable. Do there exist replicates (more than one rating of a
given professor by a given student in a given course)?
If students do have multiple professors in a course, can the
course be separated into components each of which had only one professor?
This again would simplify the analytical problem.
Good luck! -- Don.
On Thu, 6 Jul 2000, Karen Scheltema wrote:
> 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
------------------------------------------------------------------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 603-535-2597
184 Nashua Road, Bedford, NH 03110 603-471-7128
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