Ladder Rank Salary Data
The salary data for all Ladder Rank Faculty in the School of Law 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, simplest model with only demographic variables shows that relative to white male faculty, women earn salaries that are 8% lower, Asian faculty earn 26% and URM faculty earn 8% lower. Only 21% of salary variation is explained by this model. After all control factors are added, 88% 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 9% lower for faculty who are women, 4% lower for Asian, and 1% lower for URM faculty. In the final model, Women faculty earning difference is statistically significant.
Progression Analysis
The progression data for all Law Ladder Rank Faculty, are plotted below. Normative progression is defined in the Progression Matrix.
Progress by gender:
Progress by ethnicity:
Progress Rate Analysis
Using a simple t-test, results indicate that there is no statistically significant difference in progression rate means by either gender or ethnicity when compared to white male faculty. Normative progression is defined in the Progression Matrix.
