size.equiv.mean2 {statpsych} | R Documentation |
Sample size for a 2-group mean equivalence test
Description
Computes the sample size in each group (assuming equal sample sizes) required to perform an equivalence test for the difference in population means with desired power in a 2-group design. The value of h specifies a range of practical equivalence, -h to h, for the difference in population means. The planning value for the absolute mean difference must be less than h. Equivalence tests often require a very large sample size. Equivalence tests usually use 2 x alpha rather than alpha (e.g., use alpha = .10 rather alpha = .05). Set the variance planning value to the largest value within a plausible range for a conservatively large sample size.
Usage
size.equiv.mean2(alpha, pow, var, es, h)
Arguments
alpha |
alpha level for hypothesis test |
pow |
desired power |
var |
planning value of average within-group variance |
es |
planning value of mean difference |
h |
upper limit for range of practical equivalence |
Value
Returns the required sample size for each group
Examples
size.equiv.mean2(.10, .80, 15, 2, 4)
# Should return:
# Sample size per group
# 50