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In looking at different effect sizes, what might it mean if a difference between two groups is statistically significant but the effect size is small?
In looking at different effect sizes, what might it mean if a difference between two groups is statistically significant but the effect size is small? If you were on a working committee looking at two different treatment methods for an anxiety disorder and you found these results, what might you talk about with your colleagues?
Provide a general understanding of standard error-
Why does it matter?
How does this relate to increased sample sizes?
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