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dc.contributor.authorShieh, Gwowenen_US
dc.contributor.authorJan, Show-Lien_US
dc.date.accessioned2019-04-02T05:58:22Z-
dc.date.available2019-04-02T05:58:22Z-
dc.date.issued2013-07-03en_US
dc.identifier.issn0022-0973en_US
dc.identifier.urihttp://dx.doi.org/10.1080/00220973.2012.731020en_US
dc.identifier.urihttp://hdl.handle.net/11536/150501-
dc.description.abstractThe authors examined 2 approaches for determining the required sample size of Welch's test for detecting equality of means when the greatest difference between any 2 group means is given. It is shown that the actual power obtained with the sample size of the suggested approach is consistently at least as great as the nominal power. However, the sample size given by the method of Guo and Luh (2008) does not always guarantee the minimum power performance. Furthermore, the computed sample size and associated power of their formula tend to be larger than those provided with the proposed procedure. A supplementary computer program is provided to aid the implementation of the proposed technique in planning analysis of variance designs.en_US
dc.language.isoen_USen_US
dc.subjectequality of meansen_US
dc.subjectheteroscedasticityen_US
dc.subjectnoncentrality parameteren_US
dc.subjectpoweren_US
dc.subjectWelch testen_US
dc.titleDetermining Sample Size With a Given Range of Mean Effects in One-Way Heteroscedastic Analysis of Varianceen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/00220973.2012.731020en_US
dc.identifier.journalJOURNAL OF EXPERIMENTAL EDUCATIONen_US
dc.citation.volume81en_US
dc.citation.spage281en_US
dc.citation.epage294en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:000318778200001en_US
dc.citation.woscount2en_US
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