The study seeks to determine the robustness and power of parametric analysis of covariance and analysis of covariance using rank transformation to violation of the assumption of normality. The study employs a Monte Carlo simulation procedure with varying conditions of population distribution, group size, equality of group size, scale length, regression slope, and Y-intercept. The procedure was performed on raw data and ranked data with untied ranks and tied ranks.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc332218 |
| Date | 12 1900 |
| Creators | Wongla, Ruangdet |
| Contributors | Brookshire, William K., Swigger, Kathleen M., Miller, Jack E., Schlieve, Paul L. |
| Publisher | North Texas State University |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | v, 301 leaves : ill., Text |
| Rights | Public, Wongla, Ruangdet, Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved. |
Page generated in 0.002 seconds