A More Powerful Familywise Error Control Procedure for Evaluating Mean Equivalence

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dc.contributor.advisorCribbie, Robert A.
dc.creatorDavidson, Heather Patricia
dc.date.accessioned2018-03-01T13:47:16Z
dc.date.available2018-03-01T13:47:16Z
dc.date.copyright2017-05-17
dc.date.issued2018-03-01
dc.date.updated2018-03-01T13:47:16Z
dc.degree.disciplinePsychology (Functional Area: Quantitative Methods)
dc.degree.levelMaster's
dc.degree.nameMA - Master of Arts
dc.description.abstractWhen one wishes to show that there are no meaningful differences between two or more groups, equivalence tests should be used, as a nonsignificant test of mean difference does not provide evidence regarding the equivalence of groups. When conducting all possible post-hoc pairwise comparisons, C, Caffo, Lauzon and Rohmel (2013) suggested dividing the alpha level by a correction of k2/4, where k is the number of groups to be compared, however this procedure can be conservative in some situations. This research proposes two modified stepwise procedures, based on this correction of k2/4, for controlling the familywise Type I error rate. Using a Monte Carlo simulation method, we show that, across a variety of conditions, adopting a stepwise procedure increases power, particularity when a configuration of means has greater than C - k2/4 power comparisons, while maintaining the familywise error rate at or below . Implications for psychological research and directions for future study are discussed.
dc.identifier.urihttp://hdl.handle.net/10315/34263
dc.language.isoen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectPsychology
dc.subject.keywordsEquivalence testing
dc.subject.keywordsMultiple comparisons
dc.subject.keywordsFamilywise error rate
dc.subject.keywordsType I error control
dc.subject.keywordsQuantitative psychology
dc.titleA More Powerful Familywise Error Control Procedure for Evaluating Mean Equivalence
dc.typeElectronic Thesis or Dissertation

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