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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Korean Society of Anesthesiologists
2015
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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 |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-4524931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | The Korean Society of Anesthesiologists |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT leeyounsuk whatrepeatedmeasuresanalysisofvariancesreallytellsus |