What repeated measures analysis of variances really tells us
Citations

SCOPUS

20

초록

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.

키워드

Data interpretationRepeated measurementsSphericity condition
제목
What repeated measures analysis of variances really tells us
저자
Lee, Younsuk
DOI
10.4097/kjae.2015.68.4.340
발행일
2015-08
유형
Article
저널명
Korean Journal of Anesthesiology
68
4
페이지
340 ~ 345