AN APPLICATION OF PARETO-OPTIMALITY TO PUB"LIC SAFETY SELECTION DATA: ASSESSING THE FEASIBILITY OF OPTIMAL COMPOSITE WEIGHTING Porter, Maxwell G. Adverse Impact Employee selection employment testing Pareto-optimality Predictor weighting This study examined the application of Pareto-optimal weighting schemes to real selection data from the public safety sector. Of particular interest was the evaluation of how well Pareto-optimal weighting estimates approximate observed validity and adverse impact statistics when applied to selection data. Pareto-optimal methodology was applied to entry-level selection data from two U.S. municipalities in the public safety sector. Results indicate that Pareto-optimal estimates maintain robustness when compared to real selection outcomes. Specifically, near identically-shaped Pareto fronts were obtained when inputting both raw and corrected validity estimates, suggesting suitable sensitivity to varying input parameters. Practical challenges of implementing Pareto-optimal methods as well as the implications for adopting Pareto-optimal weights are discussed. M.S. in Psychology, May 2016 Morris, Scott B. 2016 2016-05 Thesis application/pdf islandora:7595 http://hdl.handle.net/10560/3858 PSYCH / Institute of Psychology Illinois Institute of Technology en In Copyright http://rightsstatements.org/page/InC/1.0/ Restricted Access