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Hence, we recommend the analysis approaches outlined in this review to normalize for this large effect.
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The scholars suggest a few potential reasons for this larger effect.
The support interval for this large-effect QTL was delimited within a 1.4 cM map region.
However this explanation did no account for the large effect in Barcelona.
This could be a reason for the large effect size of CCS.
For this item large effect sizes were observed.
One possible explanation for the large effects in this trial was the high accessibility and possibility to have an intensive contact with the therapist during treatment.
This could account for the larger effect of social manipulation upon the tuning width in canaries.
One possible reason for the larger effect size in this study may be the fact that the control group consisted of non-diabetic individuals of both sexes.
In a virulent and deadly pandemic, we would be looking for the largest effect size possible.
Effect sizes were calculated using standardised effect sizes for Cohen d values: 0.2 for small effect, 0.5 for medium effect, and 0.8 for large effect [ 66].
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CEO of Professional Science Editing for Scientists @ prosciediting.com