Sounds more like an accounting problem than a statistical problem...

WBW

__________________________________________________________________________
William B. Ware, Professor and Chair               Educational Psychology,
CB# 3500                                       Measurement, and Evaluation
University of North Carolina                         PHONE  (919)-962-7848
Chapel Hill, NC      27599-3500                      FAX:   (919)-962-1533
http://www.unc.edu/~wbware/                          EMAIL: [EMAIL PROTECTED]
__________________________________________________________________________

On Tue, 13 Feb 2001, Joe Meyer wrote:

> I am trying to estimate how faculty salaries at my university are allocated
> by instructional level and academic discipline to estimate the actual cost
> of teaching a semester credit hour by instructional level and discipline.  I
> developed a regression model with faculty teaching purely in specific
> academic disciplines as my observations.  Actual salary is my dependent
> variable.  Independent variables include lower-level credit hours taught,
> upper-level credit hours taught, masters-level credit hours taught, doctoral
> credit hours taught, total students taught, and dummy variables for faculty
> rank, tenure status, and academic discipline.  My original idea was to
> either:
> 
> 1) use dummy variables for instructional levels, or
> 
> 2) plug in lower-, upper-, and masters-level credit hour data one at a time
> to get separate estimates for each level and discipline.
> 
> The dummy variable idea will not work, because I do not know what amount of
> each salary is spent at each level for my dependent variable.  And, I will
> double count the estimators for tenure status, faculty rank, and discipline
> if I just plug credit hour data for each of the different instructional
> levels into the model while using zeros for other levels of instruction to
> get a prediction for each level.  Is there a way to predict the salary cost
> by instructional level and discipline without fitting the model only on
> faculty who are teaching purely in one discipline and purely at one
> instructional level?  I can do that, but I am concerned that such faculty
> would not be very representative of the population.  I am not too worried
> about fitting the regression model to faculty who teach in a single
> discipline, since most do this anyway, but am afraid that limiting to
> faculty who teach at a particular level will skew the results.
> 
> Thanks!
> Joe Meyer
> 
> 
> 
> 
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