F- and H-Test Assumptions Revisited
dc.contributor.author | Boehnke, Klaus | |
dc.date.accessioned | 2019-01-08T17:31:11Z | |
dc.date.available | 2019-01-08T17:31:11Z | |
dc.date.issued | 1984 | |
dc.description | Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich. | de |
dc.description | This 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.abstract | The 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.eissn | 1552-3888 | |
dc.identifier.issn | 0013-1644 | |
dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/8833 | |
dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-7962 | |
dc.language.iso | en | |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject.ddc | 370 Bildung und Erziehung | de |
dc.subject.ddc | 150 Psychologie | de |
dc.subject.other | H-test | en |
dc.subject.other | F-test | en |
dc.subject.other | statistics | en |
dc.subject.other | robustness | en |
dc.subject.other | parametric test | en |
dc.subject.other | non-parametric test | en |
dc.subject.other | methodology | en |
dc.title | F- and H-Test Assumptions Revisited | en |
dc.type | Article | en |
dc.type.version | publishedVersion | en |
dcterms.bibliographicCitation.doi | 10.1177/0013164484443008 | |
dcterms.bibliographicCitation.issue | 3 | |
dcterms.bibliographicCitation.journaltitle | Educational and Psychological Measurement | en |
dcterms.bibliographicCitation.originalpublishername | SAGE Publications | en |
dcterms.bibliographicCitation.originalpublisherplace | Washington, DC | en |
dcterms.bibliographicCitation.pageend | 617 | |
dcterms.bibliographicCitation.pagestart | 609 | |
dcterms.bibliographicCitation.volume | 44 | |
tub.accessrights.dnb | domain | |
tub.affiliation | Fak. 5 Verkehrs- und Maschinensysteme::Inst. Psychologie und Arbeitswissenschaft | de |
tub.affiliation.faculty | Fak. 5 Verkehrs- und Maschinensysteme | de |
tub.affiliation.institute | Inst. Psychologie und Arbeitswissenschaft | de |
tub.publisher.universityorinstitution | Technische Universität Berlin | de |
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