Ladder Rank Salary Data
The salary data for all Ladder Rank Faculty in Pharmaceutical Sciences 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 25% lower, and URM faculty 30% lower. Only 37% of salary variation is explained by this model. After all control factors are added, 93% 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 6% higher for faculty who are women, 10% lower for Asian, and 31% lower for URM faculty. This model also shows demographic variables are not statistically significant.
Progression Analysis
The progression data for all Pharmaceutical Sciences Ladder Rank Faculty, are plotted below. Normative progression is defined in the Progression Matrix.
Progress Rate Analysis
Given that there are no white male faculty in the School of Nursing Sciences, progression rate analyses comparing white male faculty to other faculty by gender and ethnicity is not applicable. Normative progression is defined in the Progression Matrix.
