Ladder Rank Salary Data
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 12% lower, Asian faculty earn 2% and URM faculty earn 51% more. Only 59% of salary variation is explained by this model. After all control factors are added, 85% 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 0.8% lower for faculty who are women, 7% lower for Asian, and 65% higher for URM faculty. Whereas the final model indicates that there is a significant difference in salary between White male and URM faculty, this result is based on one URM faculty member.
Progression Analysis
The progression data for all Public Health 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, the results indicate that there is no statistically significant difference in progression rate means by gender when compared to white male faculty. However, the one URM faculty advanced at a rate that is nine years faster than the average for white male faculty (p < .001). Normative progression is defined in the Progression Matrix.
