An opinion regarding equivalence testing for evaluating measurement agreement

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dc.contributor.authorAdamakis, Manolis
dc.date.accessioned2019-10-23T03:30:29Z
dc.date.available2019-10-23T03:30:29Z
dc.date.issued2019-09-13
dc.description.abstractThe novel statistical approach ‘equivalence testing’ has been proposed in order to statistically examine agreement between different physical activity measures. By using this method, researchers argued that it is possible to determine whether a method is significantly equivalent to another method. Recently, equivalence testing was supported with the use of 90% confidence interval, obtained from a mixed ANOVA, which I believe is a more robust approach. This paper further discusses the use of this method in comparison to a more well-established statistical analysis (i.e. mixed design ANOVA), as well as various limitations and arbitrary assumptions in order to perform this analysis. The paper concludes with some remarks and considerations for future use in similar approaches.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleidJSRR.51256en
dc.identifier.citationAdamakis, M., (2019) “An Opinion Regarding Equivalence Testing for Evaluating Measurement Agreement”, Journal of Scientific Research and Reports, 24(5), JSRR.51256 (4pp.) DOi: 10.9734/jsrr/2019/v24i530163.en
dc.identifier.doi10.9734/JSRR/2019/v24i530163en
dc.identifier.eissn2320-0227
dc.identifier.endpage4en
dc.identifier.issued5en
dc.identifier.journaltitleJournal of Scientific Research & Reportsen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/8808
dc.identifier.volume24en
dc.language.isoenen
dc.publisherSCIENCEDOMAIN International en
dc.relation.urihttp://www.journaljsrr.com/index.php/JSRR/article/view/30163
dc.rights© 2019, Adamakis. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0en
dc.subjectMixed design ANOVAen
dc.subjectP-valueen
dc.subjectConfidence intervalen
dc.subjectMethods comparisonen
dc.titleAn opinion regarding equivalence testing for evaluating measurement agreementen
dc.typeArticle (peer-reviewed)en
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