2022 Pay Equity Study Results: Pharmaceutical Sciences

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, the simplest model with only demographic variables shows that relative to white male faculty, women earn salaries that are about 29% lower, Asian faculty 21% lower, and URM faculty 29% lower. Only 42% of salary variation is explained by this model. After all control factors are added, 92% 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 about 5% lower for faculty who are women, 12% lower for Asian, and 5% lower for URM faculty. This model also shows that demographic variables are not statistically significant determinants of faculty salary. The final model predicted salaries within plus or minus 26.2%. (For technically-minded readers, the RMSE on the log base 10 scale is 0.051.)

Progression Analysis

The progression data for all Pharmaceutical Sciences 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 either gender or ethnicity when compared to white male faculty. Normative progression is defined in the Progression Matrix.

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