Preventing Faculty Discrimination with Case Law and Statistics Webcast Recording



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When institutions are faced with faculty discrimination lawsuits, many turn to statistical models. However, these models can be difficult to understand, and they often fail to account for case law. A truly successful discrimination study combines statistics that are understandable with the most relevant case law. The challenge in achieving this balance is that, frequently, discrimination issues are politically charged, and assumptions are made on the furtherance of an ideology rather than on data.

Join us online to learn how your institution can protect itself from costly faculty discrimination lawsuits. Through a combination of statistical analysis of faculty salaries and case law, our expert instructor will show you how to proactively prevent faculty discrimination on your campus.

Defining “Faculty Discrimination”

Faculty discrimination lawsuits are often filed due to inequity between colleagues. Inequities typically manifest through rank or compensation disparities on the basis of age, gender, ethnicity, etc.

Who Should Attend

Directors of human resources and provosts will benefit from a review of case law and simple statistical analysis. Heads of the faculty senate and deans/department chairs can also benefit from this online training.

Learning Outcome

After participating in this online training, you will be able to apply current case law and statistical methodologies to prevent faculty discrimination claims.


  • Discrimination in Higher Education
    • Disparate Treatment
    • Disparate Impact
  • Foundational Case Law
    • McDonnell Douglas Corp. v. Green
    • Hazelwood School District v. U.S.
  • Review of Statistical Methodology in Determining Discrimination
    • Descriptive Statistics
    • Inferential Statistics
  • Review of Case Law Dealing with Faculty Salary Equity Studies and Statistics
    • Bazemore v. Friday
    • Presseien v. Swarthmore College
    • Spaulding v. University of Washington
  • Recommendations to Detect and Prevent Discrimination Based on Case Law and Statistical Methodology
  • Final Q&A


Dr. Andrew Luna, Director of Institutional Research, Planning and Assessment, University of North Alabama

Dr. Luna has served over twenty-six years in higher education, with fifteen of those years in institutional research. He has published research studies on many topics including assessment, quality improvement, salary studies and market research. Dr. Luna received his PhD and MA degrees in higher education administration and his MA and BA degrees in journalism, all from the University of Alabama.


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