Ladder Rank Salary Data

The salary data for all Ladder Rank Faculty in the School of Humanities are plotted below.

As a function of rank, step, and gender:

As a function of rank, step, and ethnicity:

Multiple Linear Regression Analysis

Multiple regression analysis of salary vs rank/step. As indicated in Table 1, the simplest model with only demographic variables shows women earn salaries that are 17% lower, Asian and URM faculty earn 11% less, compared to their colleagues who are white and male. Five percent of salary variation is explained by this model. As control factors are added to the model, salary differences change with women earning equivalent salaries, Asian faculty earn 1% less, and URM faculty earn 7% more, compared to white male faculty. The percentage of salary variation explained by the model increases to 93%.

Progression Analysis

The progression data for all Humanities Ladder Rank Faculty, are plotted below.  Normative progression is defined in the Progression Matrix.

Progress by gender:

Progress by ethnicity:

Progress Rate Analysis

The results indicate there isn’t a statistically significant difference in progression rate means by ethnicity when compared to white male faculty.  Women, however, progress at a rate that is nearly one year slower (p=0.04). Normative progression is defined in the Progression Matrix.