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There was.80 power or greater to detect medium size effects using repeated measures analyses with 3 to 5 levels of factors and greater than.99 power to detect medium size differences in means using matched sample t-tests.
With a sample of 100 participants per group we will be able to observe a medium sized difference between three treatment groups in our primary outcome, caregiver's perceived social support (Social Support Survey, mean 73.3, SD 20.8) (80% power, P < .05 significance) [ 62].
Hence, using an indirect comparison, the previous studies suggest at least a medium-size difference in effect (d = 0.50) between both treatment programmes.
There was a medium effect size difference seen between BP1 and BSD subjects in the right supermarginal gyrus and right precuneus which was reflected in comparison with control subjects: BSD has a medium effect in the thickening of the right supermarginal gyrus, whereas BP1 subjects had a medium effect of thinning to the right precuneus.
This equates to a medium effect size difference between the groups of 0.5.
Power was calculated to detect a medium effect size difference in the primary outcome measure of patient self-report pain.
A power analysis concluded that there would be 80% power to detect a medium effect size difference in 14 communities with a total of 192 households per community.
The sample sizes were determined to allow us to detect a medium effect size difference between study groups at 80% power and a significance level of.05, based on previous findings.
For example, effects are considered as medium size for differences of 19-29 in role function, differences of 14-22 in physical function, 11-15 in social function, 9-14 in cognitive function, and 13-19 fatigueigue.
Results showed a significant and medium-effect size difference in attitudes towards the professional and sociopolitical environment of the home country and perceptions of opportunities abroad between those who have no intention to migrate or short-term migration intentions and those who intend to migrate long-term.
A two-sided t-test on the total HADS score [ 39, 40] (i.e. our primary outcome measure, examining psychological distress (HADS-total), anxiety symptoms (HADS-A) and depressive symptoms (HADS-D)) would require 64 participants in each group to have 80% power to detect a medium-sized difference (effect size = 0.5) with alpha = 0.05.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com