Table 1.
Statistical tests available via the general user interface | Hypothesis tested at the univariate level using bootstrap (non corrected P values/significance testing) | Multiple comparisons correction (accounts for doing many tests) using cluster statistics |
---|---|---|
One sample t-test (Student T test) |
H1 (resample subjects and use bootstrapped T values) | H0 (center data then resample subjects and use bootstrapped T values) |
Paired t-test (Student T test) |
H1 (resample subjects paired observations and use bootstrapped T values) | H0 (center data per condition then resample subjects and use bootstrapped T values) |
Two samples t-test (Student T test) |
H1 (resample subjects in each group and use bootstrapped mean differences between groups) | H0 (center data per group then resample subjects and use bootstrapped T values) |
Regressions (Fisher F test) |
H1 (resample subjects and use regression coefficients) | H0 (resample subjects and fit to the original design matrix and use bootstrapped F values) |
One way ANOVA (Fisher F test) |
H0 (center data per group then resample subjects and use bootstrapped F values) | H0 (center data per group then resample subjects and use bootstrapped F values) |
One way ANCOVA (Fisher F test) |
H0 (resample subjects and fit to the original design matrix and use bootstrapped F values) | H0 (resample subjects and fit to the original design matrix and use bootstrapped F values) |
Repeated measures ANOVA (Hotelling T 2 test) |
H0 (center data per conditions then resample subjects and use bootstrapped F values) | H0 (center data per conditions then resample subjects and use bootstrapped F values) |