This study dealt with shrinkage in multiple correlation coefficients computed for sample data when these coefficients are compared to the multiple correlation coefficients for populations and the effect of the ratio of utilized predictors to original predictors on the shrinkage in R square. The study sought to provide the rationale for selection of the shrinkage formula when the correlations between the predictors and the criterion are known and determine which of the three shrinkage formulas (Browne, Darlington, or Wherry) will yield the R square from sample data that is closest to the R square for the population data.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc331469 |
| Date | 08 1900 |
| Creators | Petcharat, Prataung Parn |
| Contributors | Curry, John F., Dawson, David Fleming, McCallon, Earl L., Thomas, L. Fred (Lawrence Fred) |
| Publisher | North Texas State University |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | x, 125 leaves : ill., Text |
| Rights | Public, Petcharat, Prataung Parn, Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved. |
Page generated in 0.0022 seconds