2016 Pay Equity Study Results: Social Sciences

Ladder Rank Salary Data

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

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

socsci-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, Asian and URM faculty earn 13% and 12% less, 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 significantly with women earning 5% less, Asian faculty earn equivalent salaries, and URM faculty earn 6% more, compared to white male faculty. The percentage of salary variation explained by the model increases to 89%.  Table 1 also lists salary differences when the model is run while excluding faculty in the Economics department.  Women and Asian faculty earn 2% and 1% less, respectively; and URM faculty earn 8% more.

Progression Analysis

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

Progress by gender:

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

socsci-progress-by-salary-and-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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