2009
DOI: 10.3343/kjlm.2009.29.1.1
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Correct Use of Repeated Measures Analysis of Variance

Abstract: 1In biomedical research, researchers frequently use statistical procedures such as the t-test, standard analysis of variance (ANOVA), or the repeated measures ANOVA to compare means between the groups of interest. There are frequently some misuses in applying these procedures since the conditions of the experiments or statistical assumptions necessary to apply these procedures are not fully taken into consideration. In this paper, we demonstrate the correct use of repeated measures ANOVA to prevent or minimize… Show more

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Cited by 174 publications
(116 citation statements)
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“…Curves were analyzed using a repeated-measures ANOVA. (32) than in trabecular bone and are at striking odds with the published findings from bone densitometry. …”
Section: Discussioncontrasting
confidence: 65%
See 1 more Smart Citation
“…Curves were analyzed using a repeated-measures ANOVA. (32) than in trabecular bone and are at striking odds with the published findings from bone densitometry. …”
Section: Discussioncontrasting
confidence: 65%
“…Changes in the curves of 18 F À plasma concentration and lumbar spine SUVs against time between the baseline and 6-month PET scans were assessed using a two-way repeated-measures analysis of variance (ANOVA) test. (32) A p value of .05 or less was considered statistically significant.…”
Section: Discussionmentioning
confidence: 99%
“…Threshold (NWR or pain), type of stimulation (single or repeated), and session (Wrst, second or third) were regarded as factors. A multivariate approach was used to bypass the compound symmetry and sphericity assumptions required in a classic RM ANOVA approach (Park et al 2009). …”
Section: Data Analysis and Statisticsmentioning
confidence: 99%
“…For analysis of ADHD-RS score, one-way repeated measures analysis of variance (time*treatment interaction) was used. A Greenhouse-Geisser correction was used for sphericity if the data did not satisfy the sphericity condition [27]. The Bonferroni method was applied for the adjustment 0f multiple comparisons.…”
Section: Discussionmentioning
confidence: 99%