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To examine the durability (stability) of MSMI effectiveness, repeated measure analyses of variance were performed on the stress, and coping response variables.
The polysomnographic EEG measures were submitted to one-way repeated measure analyses of variance, comparing baseline (BSL), PAS-50, and PAS-25 night.
All reported F- and p-values are from repeated measure analyses of variance (ANOVAs), all error bars depict standard errors, effects were judged significant when a.05 significance level was reached, and accuracy data were transformed using an arcsine transformation before performing ANOVAs.
Experiment 1 used two-way repeated measure analyses of variance (ANOVA) with between subject factor INTERVENTION (2 levels; TBS, sham TBS) and TIME (4 levels; pre, post block 1, post block 2, post block 3) for each dependent measure (SICI, MEP, ICF) for left and right FDI.
For behavioral analysis, differences between groups were examined using two-way repeated measure analyses of variance (ANOVAs) followed by post hoc Bonferroni tests.
Tables 2 and 3 show the 'within group' changes seen in the repeated measure analyses of variance models.> -wrap-foot> > -wrap-foot>> -wrap-foot> SD = standard deviation.
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For comparison of multiple measurements, repeated measures analyses of variance (ANOVA) according to Fisher were performed.
T-tests and repeated-measures analyses of variance (ANOVAs) were used to analyse hormone data and physical measurements.
Data were analysed by means of repeated measures analyses of variance and multiple regression analyses.
Hit rates and response times were subjected to repeated-measures analyses of variance (ANOVAs).
Statistical analyses included repeated measures analyses of variance, analysis of covariance and structural equation models.
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