Which effect size measure isappropriate for one-way andtwo-way anovamodels? A Monte Carlo simulation study

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dc.contributor.authorYigit, Soner
dc.contributor.authorMendes, Mehmet
dc.date.accessioned2025-01-27T19:04:08Z
dc.date.available2025-01-27T19:04:08Z
dc.date.issued2018
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractIt is very important to report some effect size measures that will show if the observed differences among the groups are also of practical significance along with statistical significance while reporting statistical analysis results. Performances of four com- monly used effect size measures (Eta-Squared, Partial Eta Squared, Omega Squared and Epsilon Squared) were compared for one and two-way ANOVA models under 3000 different conditions. Results of simulation runs showed that the Epsilon and Omega-Squared estimates were quite unbiased when compared to Eta and Partial Eta-Squared which are directly reported by commonly used statistical packages while reporting ANOVA results. Thus, it could be concluded that reporting Epsilon or Omega-Squared is more appropriate to evaluate the practical significance of observed differences along with P-values. © 2018, National Statistical Institute. All rights reserved.
dc.identifier.endpage313
dc.identifier.issn1645-6726
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85050906810
dc.identifier.scopusqualityQ3
dc.identifier.startpage295
dc.identifier.urihttps://hdl.handle.net/20.500.12428/13828
dc.identifier.volume16
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherNational Statistical Institute
dc.relation.ispartofREVSTAT-Statistical Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250125
dc.subjectBiased, simulation; Effect size measure; Epsilon-squared; Omega-squared
dc.titleWhich effect size measure isappropriate for one-way andtwo-way anovamodels? A Monte Carlo simulation study
dc.typeArticle

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