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

Authors : Soner YİĞİT

Pages : 77-84

Doi:10.18038/estubtda.864226

View : 17 | Download : 12

Publication Date : 2021-03-26

Article Type : Research Paper

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