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In the example, this is shown on the row labelled "Total medium effect with 80% usage" for the non-usage, and on the row "Total medium effect with 60% penetration rate" for the penetration rate.
In the more common forms of primary headaches, as in other complex diseases, the phenotype is thought to be caused by an interaction of multiple genetic variants, each of them having a small to medium effect, with different environmental factors.
Patients with no major adverse cardiac event in the last two years reported on average a medium effect, with 51% having a long lasting effect.
This sample size was based upon Cohen's [ 28] statistical testing for multiple regression with two independent variables (to account for the mediating variable and the outcome) to detect a medium effect with 80% power and a probability of a type I error of.05.
We described the association of different constructs using correlations and rated the effect size of these as defined by Cohen where the effect sizes for correlation coefficients are: r ≈ 0.10 is small effect with negligible practical importance, r ≈ 0.30 is a medium effect with moderate practical importance and r ≈ 0.50 is a large effect of crucial practical importance [ 22].
According to Cohen (1987) the effect sizes for correlation coefficients are r ≈ 0.10 is small effect with negligible practical importance, r ≈ 0.30 is a medium effect with moderate practical importance and r ≈ 0.50 is a large effect of crucial practical importance [22].
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The relatively small sample size limits our ability to detect small to medium effects with statistical precision.
A given minimal prevalence of 2.5 % AD cases recognized by GPs would have resulted in about 50 AD cases in each country, adding up to at least 300 AD across all countries – a sufficient sample size to detect small to medium effects with 80%% power [ 27].
GPower [ 32] analysis indicates that to detect medium effect size with four outcome variables (f (V) test = .25) with power of at least.80 and an alpha level of.05, a sample size of 79 participants per condition is sufficient, assuming that these participants complete all questionnaires and complete the intervention program.
In this observational study of a self-referral psychological service provided to young adults, we found a medium effect size with regard to psychological distress; small effect sizes were observed with regard to anxiety and depression.
In the analyses based on the ITT approach, we found a medium effect size with regard to psychological distress, whereas small effect sizes were observed with regard to anxiety and depression.
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