The salary data for all Ladder Rank Faculty in the Bill and Sue Gross School of Nursing 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 that relative to white male faculty, women earn salaries that are 2% more, Asian faculty earn 23% and URM faculty earn 5% lower. Only 10% of salary variation is explained by this model. After all control factors are added, 90% of salary variation is explained by a model with demographic, experience, field, and rank variables. After adjusting for covariates, relative to white male faculty, salaries are 1.5% lower for faculty who are women, 1% lower for Asian, and 7% lower for URM faculty. This model also shows demographic variables are not statistically significant.

Progression Analysis

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

Progress Rate Analysis

Using a simple t-test, the results indicate there isn’t a statistically significant difference in progression rate means by either gender or ethnicity when compared to white male faculty, indicating there is no evidence of biases against promotion. Normative progression is defined in the Progression Matrix.