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

Autor:	Soner Yiğit
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Simple (abstract algebra) practical significance eta-squared epsilon-squared omega-squared regression analysis simulation Basic Sciences Temel Bilimler Linear regression Statistics Regression analysis General Medicine Eta squared Mathematics
Zdroj:	Volume: 22, Issue: 1 77-84 Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering
ISSN:	2667-4211
Popis:	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 (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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e21337e8ae3e4dbdf809aeeb971ffb3 https://dergipark.org.tr/tr/pub/estubtda/issue/60901/864226 Zobrazit plný text záznamu