Type I error and test power of different tests for testing interaction effects in factorial experiments

dc.contributor.authorMendes, Mehmet
dc.contributor.authorYigit, Soner
dc.date.accessioned2025-01-27T20:50:21Z
dc.date.available2025-01-27T20:50:21Z
dc.date.issued2013
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractA simulation study was conducted to investigate the effect of non normality and unequal variances on Type I error rates and test power of the classical factorial anova F-test and different alternatives, namely rank transformation procedure (FR), winsorized mean (FW), modified mean (FM) and permutation test (FP) for testing interaction effects. Simulation results showed that as long as no significant deviation from normality and homogeneity of the variances exists, generally all of the tests displayed similar results. However, if there is significant deviation from the assumptions, the other tests are observed to be affected at considerably high levels except FR and FP tests. As a result, when the assumptions of factorial anova F-test are not met or, in the case those assumptions are not tested whether met, it can be concluded that using FR and FP tests is more suitable than the classical factorial anova F-test.
dc.identifier.doi10.1111/j.1467-9574.2012.00528.x
dc.identifier.endpage26
dc.identifier.issn0039-0402
dc.identifier.issn1467-9574
dc.identifier.issue1
dc.identifier.scopus2-s2.0-84872033545
dc.identifier.scopusqualityQ2
dc.identifier.startpage1
dc.identifier.urihttps://doi.org/10.1111/j.1467-9574.2012.00528.x
dc.identifier.urihttps://hdl.handle.net/20.500.12428/25474
dc.identifier.volume67
dc.identifier.wosWOS:000313270000001
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofStatistica Neerlandica
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectfactorial analysis of variance
dc.subjectrank transform test
dc.subjectpermutation tests
dc.subjecttype I error
dc.subjecttest power
dc.subjectsimulation
dc.titleType I error and test power of different tests for testing interaction effects in factorial experiments
dc.typeArticle

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