Significance of RM-ANOVA
RM-ANOVA, or repeated measures analysis of variance, is a statistical test used to compare the means of related groups across multiple time points or conditions. It assesses changes within subjects on one or more variables, considering factors like interventions and time as repeated measures. In essence, RM-ANOVA analyzes how motor coordination and exercise performance factors change over time within the same individuals or groups.
Synonyms: Repeated measures anova, Repeated measures analysis of variance
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The concept of RM-ANOVA in scientific sources
RM-ANOVA, or repeated measures analysis of variance, is a statistical test used to compare the means of related groups on one or more variables over multiple time points, assessing changes within subjects, such as motor coordination and exercise performance.
From: International Journal of Environmental Research and Public Health (MDPI)
(1) A statistical test used to compare the means of related groups on one or more variables over multiple time points, assessing changes within subjects.[1] (2) RM-ANOVA, or repeated measures analysis of variance, was utilized to analyze changes in motor coordination and exercise performance factors, considering interventions and time as repeated variables.[2]