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Data were analysed using the effect size statistic with 90% confidence intervals, and percentage change, to determine magnitude of effects.
E-S calculations were made using the effect size generator software program [ 17].
The magnitude of the difference between groups was assessed using the effect size (ES).
Effect sizes for frequency data were estimated using the effect size calculator at www.campbellcollaboration.org/resources/effect_size_input.php.org/resources/effect_size_input.php
Power analysis using the effect size of 0.06 calculated from data reported by Cortright et al.
Internal responsiveness was evaluated by using the effect size (ES) and standardized response mean (SRM).
Similar(27)
Using the effect sizes calculator [ (last accessed Aug 27th 2009)], we were able to calculate the effect size of 1.38 from the F value.
Post hoc power calculations were performed, using the effect sizes derived from this study to determine if the study sample had sufficient power to enable a true difference in estimates to be detected if they truly existed [ 23, 24].
The statistical power of the analysis was estimated using the effects size conventions of 0.1, 0.25, and 0.40 for small, medium, and large effects, respectively, using G*Power version 3 [ 31].
Moreover, we used the effect size r for the non-parametric test.
They only used the effect size to verify that high-intensity interval training was better than the usual Brazilian jiu-jitsu training.
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