Full metadata record
DC FieldValueLanguage
dc.contributor.authorShieh, Gwowenen_US
dc.date.accessioned2014-12-08T15:30:53Z-
dc.date.available2014-12-08T15:30:53Z-
dc.date.issued2013-03-01en_US
dc.identifier.issn1554-351Xen_US
dc.identifier.urihttp://dx.doi.org/10.3758/s13428-012-0228-7en_US
dc.identifier.urihttp://hdl.handle.net/11536/22042-
dc.description.abstractEffect size reporting and interpreting practices have been extensively recommended in academic journals when primary outcomes of all empirical studies have been analyzed. This article presents an alternative approach to constructing confidence intervals of the weighted eta-squared effect size within the context of one-way heteroscedastic ANOVA models. It is shown that the proposed interval procedure has advantages over an existing method in its theoretical justification, computational simplicity, and numerical performance. For design planning, the corresponding sample size procedures for precise interval estimation of the weighted eta-squared association measure are also delineated. Specifically, the developed formulas compute the necessary sample sizes with respect to the considerations of expected confidence interval width and tolerance probability of interval width within a designated value. Supplementary computer programs are provided to aid the implementation of the suggested techniques in practical applications of ANOVA designs when the assumption of homogeneous variances is not tenable.en_US
dc.language.isoen_USen_US
dc.subjectHeteroscedasticityen_US
dc.subjectPrecisionen_US
dc.subjectWelch's statisticen_US
dc.titleConfidence intervals and sample size calculations for the weighted eta-squared effect sizes in one-way heteroscedastic ANOVAen_US
dc.typeArticleen_US
dc.identifier.doi10.3758/s13428-012-0228-7en_US
dc.identifier.journalBEHAVIOR RESEARCH METHODSen_US
dc.citation.volume45en_US
dc.citation.issue1en_US
dc.citation.spage25en_US
dc.citation.epage37en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:000319800900003-
dc.citation.woscount1-
Appears in Collections:Articles


Files in This Item:

  1. 000319800900003.pdf