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A Sample Application: Slippage Adjustments
In the following frames we present an application of the
data base that will illustrate how these data can be put to use.
Funds were available in the College to provide salary raises above and
beyond the standard raise in order to correct obvious salary
inequities.
The Department used the salary survey data to provide a formal estimate
of the degree to which faculty member's salary has slipped.
The salary survey provided the standard against which slippage was
assessed. The assumption underlying the definition is that the relative
merit of a faculty member within the department should define the
minimal salary this faculty member should expect given the distribution
of salaries reported in the survey.
Thus, for example, any faculty member whose merit was equal to the
department's average should, we agreed with the Dean, earn at least at
the 50th percentile of salaries in the salary survey.
The mechanics of the process are shown in the following frame.
(for further information regarding this example contact
edonchin@uiuc.edu)
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