Ladder Rank Salary Data
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 11% lower, Asian faculty 4.6% and URM faculty 16% lower. Only 13% of salary variation is explained by this model. After all control factors are added, 69% 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 1.6% higher for faculty who are women, 2.3% higher for Asian, and 11% lower for URM faculty. In this model, demographic variables were not statistically significant.
The progression data for all Business 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 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.