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Power analysis revealed that with a sample size of 74 and correlations between repeated measures of r = 0.5, an effect of medium size would be detected with a power > 0.95, and the power for univariate contrasts exceeded 0.80 after adjusting alpha-level for multiple tests.
However, the sample size of our trial is among the largest reported for studies evaluating quality of life in metastatic breast cancer and the study actually has 80% power to detect a 48% improvement in quality of life, that is an effect of medium size, that might be considered as clinically relevant.
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The slopes of the power curve were flat for small as well as large genetic effects, whereas for genetic effects of medium size the slope was steep (Fig. 2).
This latter effect was of medium size (Cohen 1988).
The effects were of medium size.
The total symptom charge was significantly reduced from T1 to T3 (p <.001) and the effect size was of medium size (d = 0.68).
We assumed that main effects and interactions of medium size (f = 0.25; according to Cohen's effect size conventions) (Cohen, 1988) should be detected, given a significance level of α = 0.05.
From a clinical perspective, effect sizes of 0.56 – 1.2 can be interpreted as large, while effect sizes of 0.33 – 0.55 are of medium size, and effects of 0 – 0.32 are small [ 45].
With regard to items, differences were significant in Items 6, 10, 7, 8, 2 and 5 (in descending order with regard to effect size) and there at least of medium size.
Despite changes to the intervention modality in the current study, clinically meaningful effects of medium effect size (specifically, of Cohen's d=0.6 or above) were predicted.
These effects were of around medium size, and appeared to be in excess of what may have been expected due to maturation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com