F- and H-Test Assumptions Revisited

dc.contributor.authorBoehnke, Klaus
dc.date.accessioned2019-01-08T17:31:11Z
dc.date.available2019-01-08T17:31:11Z
dc.date.issued1984
dc.descriptionDieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.de
dc.descriptionThis publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.en
dc.description.abstractThe effects of some restraints not included in the classical assumptions of the F- and H-test (e.g., correlation of mean and sample size) were examined in a simulation design of 1000 samples per condition. Also simulated was a situation in which two assumptions were not met simultaneously. The major conclusions were: H was not an appropriate alternative for F with samples of N>= 20; in all cases of unequal variances combined with unequal sample sizes H should be applied; and neither H nor F should be applied if more than one assumption of either test is not met.en
dc.identifier.eissn1552-3888
dc.identifier.issn0013-1644
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/8833
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-7962
dc.language.isoen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc370 Bildung und Erziehungde
dc.subject.ddc150 Psychologiede
dc.subject.otherH-testen
dc.subject.otherF-testen
dc.subject.otherstatisticsen
dc.subject.otherrobustnessen
dc.subject.otherparametric testen
dc.subject.othernon-parametric testen
dc.subject.othermethodologyen
dc.titleF- and H-Test Assumptions Revisiteden
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1177/0013164484443008
dcterms.bibliographicCitation.issue3
dcterms.bibliographicCitation.journaltitleEducational and Psychological Measurementen
dcterms.bibliographicCitation.originalpublishernameSAGE Publicationsen
dcterms.bibliographicCitation.originalpublisherplaceWashington, DCen
dcterms.bibliographicCitation.pageend617
dcterms.bibliographicCitation.pagestart609
dcterms.bibliographicCitation.volume44
tub.accessrights.dnbdomain
tub.affiliationFak. 5 Verkehrs- und Maschinensysteme::Inst. Psychologie und Arbeitswissenschaftde
tub.affiliation.facultyFak. 5 Verkehrs- und Maschinensystemede
tub.affiliation.instituteInst. Psychologie und Arbeitswissenschaftde
tub.publisher.universityorinstitutionTechnische Universität Berlinde

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