The results of a single-sample t test are reported as t(44) = −3.35, p < .001, d = −0.50. Describe the effect size for this study.
Solution:
Given:
t(44) = −3.35,
p < .001,
d = −0.50
From p-value, we can conclude that: there is significant difference in mean. Thus we need to know how much effect of this difference. Thus we calculate Cohen's d for effect size.
It is d = -0.50 , we use absolute value
thus d = 0.50
Following are different interpretations for Cohen's d.
d = 0.2 is considered as small effect
d = 0.5 is considered as medium effect
d = 0.8 is considered as large effect.
Since d = 0.50 , there is medium effect.
The results of a single-sample t test are reported as t(44) = −3.35, p < .001,...
The results of a single-sample t test are reported as t(44) = −3.35, p < .001, d = −0.50. If alpha is set at .05 in the left tail, what is the correct decision to make regarding the null hypothesis?
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