Table 4.
Details of statistics for experiments describing the phenomenon of KCC2 loss on spinal motoneurons following axotomy
| Location | Data reference | Data structure | Type of test | Power and statistical significance |
|---|---|---|---|---|
| A | 1D | Non-normal distribution, unequal variance | Two-way ANOVA Injury; F(1,103) = 76.340; p < 0.001 Sex; F(1,103) = 0.206; p = 0.683 Interaction; F(1,103) = 3.155; p = 0.086 |
Power = 1.00 Power = 0.05 Power = 0.29 |
| B | 2E None vs partial None vs normal Partial vs normal |
Normal distribution, unequal variance | One-way ANOVA F (2,17) = 17.52; p < 0.001 Post hoc Bonferroni Post hoc Bonferroni Post hoc Bonferroni |
Power = 0.999 p = 0.0218 p < 0.0001 p = 0.0285 |
| C | 3H Intact vs ligated |
Normal distribution, unequal variance | Two-way ANOVA Side; F(1,17) = 58.314; p < 0.001 Day; F(2,17) = 1.811; p = 0.205 Interaction; F(2,17) = 2.308; p = 0.142 One-tailed paired t test |
Power = 1.0 Power = 0.153 Power = 0.223 t = 6.07, p = 0.0002 |
| D | 3G Intact vs ligated |
Normal distribution, unequal variance | Two-way ANOVA Side; F(1,17) = 58.314; p < 0.001 Day; F(2,17) = 0.132; p = 0.878 Interaction; F(2,17) = 0.463; p = 0.640 One-tailed paired t test |
Power = 0.981 Power = 0.05 Power = 0.05 t = 7.591, p < 0.0001 |
| E | Sham vs ligated | One-tailed t test | Power = 0.95 t = 0.418 p = 0.6893 |
|
| F |
5D
α intact vs α injured γ intact γ injured α injured vs γ Intact γ injured γ intact vs γ injured |
Non-normal distribution, unequal variance | Two-way ANOVA Injury; F(1,82) = 0.0003; p < 0.001 Type; F(1,82) = 17.0; p = 0.986 Interaction; F(1,82) = 4.1; p = 0.046 Post hoc Bonferroni Post hoc Bonferroni Post hoc Bonferroni Post hoc Bonferroni Post hoc Bonferroni Post hoc Bonferroni |
Power = 0.987 Power = 0.05 Power = 0.398 p = 0.0002 p = 0.59 p = 0.307 p = 0.246 p > 0.999 p = 0.8565 |
| G | 4B Intact vs 3D (cut/ligated) 14D (cut/ligated) 21D (cut/ligated) 21D (cut/repair) 28D (cut/ligated) 28D (cut/repair) 60D (cut/ligated) 60D (cut/repair) |
Normal distribution | One-way ANOVA F(8,36) = 4.194; p = 0.002 Post hoc Bonferroni Post hoc Bonferroni Post hoc Bonferroni Post hoc Bonferroni Post hoc Bonferroni Post hoc Bonferroni Post hoc Bonferroni Post hoc Bonferroni |
Power = 0.913 p > 0.999 p = 0.026 p = 0.003 p = 0.128 p = 0.032 p = 0.017 p = 0.041 p = 1.00 |
| H | 4F | Normal distribution | Linear regression F(1,12) = 15.942; p = 0.002 |
Power = 0.896 |
Boldface indicates the group against all other comparisons are made in multiple comparisons tests.