LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data
Table 1
Summary of statistical tests available in LIMO EEG via the GUI with the bootstrap procedures used at the univariate (one time frame on one electrode) and cluster levels.
Statistical tests available via the general user interface
Hypothesis tested at the univariate level using bootstrap (non corrected values/significance testing)
Multiple comparisons correction (accounts for doing many tests) using cluster statistics
One sample -test (Student test)
H1 (resample subjects and use bootstrapped values)
H0 (center data then resample subjects and use bootstrapped values)
Paired -test (Student test)
H1 (resample subjects paired observations and use bootstrapped values)
H0 (center data per condition then resample subjects and use bootstrapped values)
Two samples -test (Student 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 values)
Regressions (Fisher test)
H1 (resample subjects and use regression coefficients)
H0 (resample subjects and fit to the original design matrix and use bootstrapped values)
One way ANOVA (Fisher test)
H0 (center data per group then resample subjects and use bootstrapped values)
H0 (center data per group then resample subjects and use bootstrapped values)
One way ANCOVA (Fisher test)
H0 (resample subjects and fit to the original design matrix and use bootstrapped values)
H0 (resample subjects and fit to the original design matrix and use bootstrapped values)
Repeated measures ANOVA (Hotelling test)
H0 (center data per conditions then resample subjects and use bootstrapped values)
H0 (center data per conditions then resample subjects and use bootstrapped values)