Advisor(s) - Committee Chair
Dr. Reagan Brown (Director), Dr. Elizabeth Shoenfelt, Dr. Anthony Paquin
Department of Psychology
Master of Arts
The current study employs Monte Carlo analyses to evaluate the effectiveness of various statistical procedures for determining specific values of interest within a population of 1,000,000 cases. Specifically, the proper procedures for addressing the opposing effects of direct range restriction and validity overestimation were assessed through a comparison of multiple correlation coefficients derived using various sequences of procedures in randomly drawn samples. A comparison of the average bias associated with these methods indicated that correction for range restriction prior to the application of a validity overestimation adjustment formula yielded the best estimate of population parameters over a number of conditions. Additionally, similar methods were employed to assess the effectiveness of the standard ΔR2F-test for determining, based on characteristics of the derivation sample, the comparative superiority of either optimally or unit weighted composites in future samples; this procedure was largely ineffective under the conditions employed in the current study.
Educational Assessment, Evaluation, and Research | Industrial and Organizational Psychology
Goins, David Matthew, "Population Cross-Validity Estimation and Adjustment for Direct Range Restriction: A Monte Carlo Investigation of Procedural Sequences to Achieve Optimal Cross-Validity" (2010). Masters Theses & Specialist Projects. Paper 165.