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 9% lower, Asian faculty 3% and URM faculty 11% lower. Only 4% of salary variation is explained by this model. After all control factors are added, 94% 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% lower for faculty who are women, 0.3% lower for Asian, and 5% higher for URM faculty.
The progression data for all Humanities 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 between URM and white male faculty. However, female faculty progress 1.4 years and Asian faculty 1.9 years more slowly than white males. After using multivariate regression to adjust for experience, discipline, and initial rank, there was no statistically significant difference in rates of progression between White men, and URM or Asian faculty. Women progressed at a significantly slower rate than men (b = -0.93, p = .0457). Normative progression is defined in the Progression Matrix.