Reports the larger of the two one-sided p-values; a value below alpha
supports equivalence within +/- bound_d standard deviations. A
non-significant difference test is not itself evidence of equivalence, hence
TOST is reported alongside the standardised mean difference (Lakens, 2017).
Arguments
- x, y
Numeric vectors.
- bound_d
Smallest effect size of interest (Cohen's d); defaults to the schema value of 0.5. That value is a convention and not a default of Lakens (2017), who asks for the bound to be justified for the study. At 0.5 and alpha .05, no dimension that varies can pass with fewer than 23 items per condition, even when the conditions are identical.
- alpha
Significance level.