Report the observed power of this post hoc power analysis
Section 2: Post Hoc Power Analysis
Open G*Power. Select the following options:
Test family = t tests.
Statistical test = Means: Difference between two independent groups (two groups).
Type of power analysis = Post hoc: Compute achieved power.
Tails(s) = Two.
Effect size d = Cohen's d obtained from Section 1 above (using either s1 or s2).
α err prob = standard alpha level.
Sample size group 1 = n1 from Section 1 above.
Sample size group 2 = n2 from Section 1 above.
Click Calculate.
Provide a screenshot of your G*Power output. Report the observed power of this post hoc power analysis. Interpret the level of power in terms of rejecting a null hypothesis. Do you have sufficient power to reject a false null hypothesis? Interpret power in terms of committing a Type II error.
Hint
Management "Post hoc power analysis looks at the retrospective power of an observed effect which is based on the sample size, and parameter estimates that have been derived from a given data set. The analysis is considered, especially when a finding is non-significant.In this analysis, power is the probability in which a given a specified true difference between two groups, the quantitative o...
"Post hoc power analysis looks at the retrospective power of an observed effect which is based on the sample size, and parameter estimates that have been derived from a given data set. The analysis is considered, especially when a finding is non-significant.
In this analysis, power is the probability in which a given a specified true difference between two groups, the quantitative outcome of the study will be statistically significant."
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