2016 Pay Equity Study Results: Biological Sciences

Ladder Rank Salary Data

The salary data for all Ladder Rank Faculty in the Francisco J. Ayala School of Biological Sciences are plotted below.
As a function of rank, step, and gender:

bio-rank-step-gender  
As a function of rank, step, and ethnicity:

bio-rank-step-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 women earn salaries that are 24% lower and Asian faculty earn 11% less, while salaries for URM faculty are equivalent to salaries of their colleagues who are white and male. Seven percent of salary variation is explained by this model. As control factors are added to the model, salary differences change significantly with women earning 1% more, Asian faculty earn 1% less, and URM faculty earn 3% less, compared to white male faculty. The percentage of salary variation explained by the model increases to 93%.

Progression Analysis

The progression data for all Biological Sciences Ladder Rank Faculty, are plotted below.  Normative progression is defined in the Progression Matrix.

Progress by gender:

bio-progress-by-salary-and-gender
Progress by ethnicity:

bio-progress-by-salary-and-ethnicity

Progress Rate Analysis

The results indicate there isn’t a statistically significant difference in progression rate means by gender when compared to white male faculty.  Asian faculty, however, progress at a rate that is two years slower (p=0.03). Normative progression is defined in the Progression Matrix.

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