TABLE 4.
Power analysis protocol for a Kruskal–Wallis test using Shannon’s alpha metric.
| Power analysis protocol: univariate case—alpha diversity | ||
| t-tests – Means: Wilcoxon–Mann–Whitney test (two groups) | ||
| Options: | A.R.E. method | |
| Analysis: | A priori: compute required sample size | |
| Input: | Tail(s) | = One |
| Parent distribution | = Normal | |
| Effect size d | = 0.5 | |
| Alpha metric | = Shannon | |
| α err prob | = 0.05 | |
| Power (1 - β err prob) | = 0.8 | |
| Allocation ratio N2/N1 | = 1 | |
| Output: | Non-centrality parameter δ | = 2.51 |
| Critical t | = 1.66 | |
| df | = 99.2 | |
| Sample size group 1 | = 53 | |
| Sample size group 2 | = 53 | |
| Total sample size | = 106 | |
| Actual power | = 0.803 | |
This protocol is adapted from the protocol generated by the G*Power software (Faul et al., 2007).