2016 Pay Equity Study Results: Engineering

Ladder Rank Salary Data

The salary data for all Ladder Rank Faculty in The Henry Samueli School of Engineering 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 women earn salaries that are 30% lower, Asian and URM faculty earn 25% and 14% more, respectively, compared to their colleagues who are white and male. Ten percent of salary variation is explained by this model. As control factors are added to the model, salary differences change with women earning 3% less, Asian faculty earn 3% more, and URM faculty earn 10% more, compared to white male faculty. The percentage of salary variation explained by the model increases to 92%.

Progression Analysis

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

Progress by gender:

Progress by ethnicity:


Progress Rate Analysis

The results indicate there isn’t a statistically significant difference in progression rate means by either gender or ethnicity when compared to white male faculty, indicating there is no evidence of biases against promotion. Normative progression is defined in the Progression Matrix.

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