The phrase "a mean effect size" is correct and usable in written English.
It can be used in statistical or research contexts to refer to the average effect size observed in a study or analysis.
Example: "The researchers reported a mean effect size of 0.5, indicating a moderate effect of the intervention."
Alternatives: "an average effect size" or "a typical effect size".
A review of the effects of early parent training programs aimed at preventing antisocial behaviour and delinquency, shows that parent training is an effective intervention strategy in reducing child disruptive behaviour, with a mean effect size of 0.35.
Overall, the analysis revealed a mean effect size of d = 0.30, indicating low to moderate intervention effects.
Results show that individuals with ASD spend less time attending to social stimuli than typically developing (TD) controls, with a mean effect size of 0.55.
A random effects approach using inverse weights resulted in a mean effect size estimate of g = −0.33 (lower scores indicate less weight bias) for both attitudes and beliefs.
By comparing DAT KD mice to wildtype (WT) littermates in every experiment, we calculated effect sizes for each of the four outcomes and then calculated a mean effect size using a random effects model.
By using the method of robust meta-regression for dealing with multiple effect sizes from single studies, and by excluding outliers, we estimated a mean effect size of g = 0.61 (95% CI = 0.53 0.69).
Superscript letter A means effect size between small and medium Source: Authors own.
Second, comparing CBT to an active control condition may lead to a lower mean effect size than CBT versus a non-active control condition [ 13].
In terms of depression, Robertson et al 7 in their meta-analysis of walking using a fixed effects model, found a standardised mean effect size of −0.86 (−1.12 to −0.61), comparable to the effect size of −0.67 (−0.97 to −0.38) in this review of group walking.
In each meta-analysis and assuming a random-effects model, we calculated a weighted mean effect size together with its confidence interval for the treatment groups and control groups separately.
A meta-analysis of Internet-based cognitive behavior therapy (CBT) for symptoms of depression and anxiety shows that interventions with therapist support had a large mean effect size while interventions without therapist support had a small mean effect size [ 12].
