COMPARISON OF SOME EFFECT SIZE MEASURES IN SIMPLE AND MULTIPLE LINEAR REGRESSION MODELS

It is very important that the results of statistical analysis are understandable. Therefore, while reporting analysis, some effect size measures should be given along with P-value. In this study, measure Eta-Squared, Epsilon Squared and Omega-Squared were compared in terms their performance (bias) simple multiple linear regression models. Results simulation runs showed estimates quite unbiased when to Eta-Squared. Thus, it could concluded or Omega more appropriate evaluate practical significance P-values