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What repeated measures analysis of variances really tells us

This article examined repeated measures analysis of variance (RMANOVA). Within-subjects repeated measurements are unavoidable during clinical and experimental investigation, and between- and within-subject variability should be treated separately. Only through proper use and meticulous interpretatio...

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Autor principal: Lee, Younsuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Anesthesiologists 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4524931/
https://www.ncbi.nlm.nih.gov/pubmed/26257845
http://dx.doi.org/10.4097/kjae.2015.68.4.340
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author Lee, Younsuk
author_facet Lee, Younsuk
author_sort Lee, Younsuk
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description This article examined repeated measures analysis of variance (RMANOVA). Within-subjects repeated measurements are unavoidable during clinical and experimental investigation, and between- and within-subject variability should be treated separately. Only through proper use and meticulous interpretation can ethical and scientific integrity be guaranteed. The philosophical background of, and knowledge pertaining to, RMANOVA are described in the first half of this text. The sphericity assumption and associated issues are discussed in the latter half. The final section provides a summary measure analysis, which was neglected by P value-dependent interpreters.
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spelling pubmed-45249312015-08-07 What repeated measures analysis of variances really tells us Lee, Younsuk Korean J Anesthesiol Statistical Round This article examined repeated measures analysis of variance (RMANOVA). Within-subjects repeated measurements are unavoidable during clinical and experimental investigation, and between- and within-subject variability should be treated separately. Only through proper use and meticulous interpretation can ethical and scientific integrity be guaranteed. The philosophical background of, and knowledge pertaining to, RMANOVA are described in the first half of this text. The sphericity assumption and associated issues are discussed in the latter half. The final section provides a summary measure analysis, which was neglected by P value-dependent interpreters. The Korean Society of Anesthesiologists 2015-08 2015-07-28 /pmc/articles/PMC4524931/ /pubmed/26257845 http://dx.doi.org/10.4097/kjae.2015.68.4.340 Text en Copyright © the Korean Society of Anesthesiologists, 2015 http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Statistical Round
Lee, Younsuk
What repeated measures analysis of variances really tells us
title What repeated measures analysis of variances really tells us
title_full What repeated measures analysis of variances really tells us
title_fullStr What repeated measures analysis of variances really tells us
title_full_unstemmed What repeated measures analysis of variances really tells us
title_short What repeated measures analysis of variances really tells us
title_sort what repeated measures analysis of variances really tells us
topic Statistical Round
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4524931/
https://www.ncbi.nlm.nih.gov/pubmed/26257845
http://dx.doi.org/10.4097/kjae.2015.68.4.340
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