1. Application #1: Age Discrimination in a Promotion?
2. Application #2: Disparate Impact -What Do the Statistics Mean?
A. How can an organization go about collecting and reporting the statistics presented in Exhibit 2.3?
B. What “rule of thumb” or guidelines would you recommend for deciding whether statistical differences reflect discrimination occurring through the staffing system?
C. What types of staffing activities (recruitment, selection, employment) might be causing the statistical differences? For example, in Exhibit 2.3 the selection rate for men is 50% and for women is 11%. How would the organization collect the data necessary to compute these selection rates, how would you decide if the difference in selection rates (50% vs. 11%) is big enough to indicate possible discrimination, and what sorts of practices might be causing the difference in selection rates?