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.
| Identifer | oai:union.ndltd.org:WKU/oai:digitalcommons.wku.edu:theses-1166 |
| Date | 01 May 2010 |
| Creators | Goins, David Matthew |
| Publisher | TopSCHOLAR® |
| Source Sets | Western Kentucky University Theses |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Masters Theses & Specialist Projects |
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