Effect size and Power analysis T-tests
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9 Terms
effect size
the degree to which the phenomenon is present in the population
quantifies the magnitude of effect
practical importance
distance between the probability distributions of H0 and H1
cohen’s d
the standardized difference between the means of two groups
(m1-m2)/SD
reducing Type I error
lower alpha level
reducing Type II error
increasing statistical power
statistical power
the probability of correctly rejecting the null hypothesis
factor influencing statistical power
sample size
effect size
significance cut-off
power analysis
to determine the likelihood of detecting a true effect
determining the sample size required
a priori power analysis
determine the necessary sample size for their study
before a study begins
a posteriori power analysis
to assess the achieved power
after a study has been completed
Note 
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