USING CONFIDENCE INTERVALS WITH A SMALL SAMPLE SIZE ADJUSTMENT TO ASSESS ADVERSE IMPACT May, Jill L. With increased diversity in the U.S. workforce, there has become a greater need for organizations to defend against accusations of discrimination and thus a need to produce more accurate adverse impact statistics in discrimination cases. The purpose of the present study is to investigate two adjustments to a confidence interval procedure for calculating adverse impact to see if they give more adequate performance over the unadjusted Morris and Lobsenz (2000) confidence interval procedure. A Monte Carlo simulation revealed that using an adjustment for small sample sizes alleviates some of the problems found for the confidence interval procedure found in previous research. Specifically, adding a 0.5 adjustment to the confidence interval procedure increases the accuracy over the unadjusted procedure and the Agresti and Caffo (2000) procedure. Implications for practioners and researchers are included in the discussion. M.S. in Psychology, May 2012 Morris, Scott B. 2012-03-27 2012-05 Thesis application/pdf islandora:8992 http://hdl.handle.net/10560/2807 PSYCH / Institute of Psychology Illinois Institute of Technology en In Copyright http://rightsstatements.org/page/InC/1.0/ Restricted Access