In the past several years, a number of academic institutions have undertaken and published studies of faculty salaries that were based on a statistical analysis using multiple regression, in which several factors that affect pay were used to predict salaries, with gender included as one of the variables. Typically the following factors have been used to predict nine-month salary equivalents: gender, race and ethnicity, highest degree, year received highest degree, years at the institution, school or college, departmental unit affiliation, whether an administrative appointment was held, whether a medical school appointment was held, number of appointments, current rank, years in rank.

The previous, campus-wide salary equity study at UIC was performed in 2002. The data analysis being conducted by the sub group of the salary equity task force is currently conducting preliminary data analysis to determine the final model for the study to be completed in 2009 at UIC.