WHICH EFFECT SIZE MEASURE IS APPROPRIATE FOR ONE-WAY AND TWO-WAY ANOVA MODELS? A MONTE CARLO SIMULATION STUDY

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dc.contributor.authorYigit, Soner
dc.contributor.authorMendes, Mehmet
dc.date.accessioned2025-01-27T21:23:45Z
dc.date.available2025-01-27T21:23:45Z
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 commonly 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.
dc.identifier.endpage313
dc.identifier.issn1645-6726
dc.identifier.issn2183-0371
dc.identifier.issue3
dc.identifier.startpage295
dc.identifier.urihttps://hdl.handle.net/20.500.12428/29303
dc.identifier.volume16
dc.identifier.wosWOS:000438264400002
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherInst Nacional Estatistica-Ine
dc.relation.ispartofRevstat-Statistical Journal
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjecteffect size measure
dc.subjectomega-squared
dc.subjectepsilon-squared
dc.subjectbiased
dc.subjectsimulation
dc.titleWHICH EFFECT SIZE MEASURE IS APPROPRIATE FOR ONE-WAY AND TWO-WAY ANOVA MODELS? A MONTE CARLO SIMULATION STUDY
dc.typeArticle

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