Table 5 Three way ANOVA analysis of the distance change among the landmarks between T1 and T2
C-D | C-E | C-Pog | Right | Left | MF-MF | MdF -MdF | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C-MF | C-MFA | C-MdF | C-MF | C-MFA | C-MdF | |||||||||||||||||
Sig | % var | Sig | % var | Sig | % var | Sig | % var | Sig | % var | Sig | % var | Sig | % var | Sig | % var | Sig | % var | Sig | % var | Sig | % var | |
Patient (P) | 0.000 | 84 | 0.000 | 88 | 0.000 | 86 | 0.000 | 79 | 0.000 | 81 | 0.000 | 64 | 0.000 | 75 | 0.000 | 76 | 0.000 | 52 | 0.000 | 91 | 0.000 | 65 |
Time (T) | _ | 0 | 0.100 | 0 | _ | 0 | _ | 0 | _ | 0 | 0.000 | 19 | 0.020 | 4 | 0.003 | 7 | 0.000 | 24 | _ | 1 | 0.000 | 20 |
Judge (J) | _ | 0 | _ | 0 | _ | 0 | _ | 1 | 0.070 | 1 | _ | _ | _ | 1 | _ | 1 | _ | _ | _ | 0 | _ | _ |
P x T | 0.005 | 8 | 0.003 | 3 | 0.000 | 9 | 0.020 | 7 | 0.000 | 11 | 0.000 | 16 | 0.005 | 11 | 0.004 | 10 | 0.000 | 23 | 0.040 | 3 | 0.000 | 13 |
P x J | _ | 0 | 0.007 | 5 | _ | 1 | 0.060 | 5 | 0.040 | 3 | _ | _ | _ | 0 | _ | 1 | 0.080 | _ | _ | 1 | 0.080 | 1 |
T x J | _ | 0 | _ | 0 | _ | 0 | _ | 0 | _ | 0 | _ | _ | _ | 0 | _ | 0 | _ | _ | _ | 0 | _ | |
e | _ | 7 | _ | 4 | _ | 4 | _ | 8 | _ | 5 | _ | 2 | _ | 9 | _ | 7 | _ | 1 | _ | 4 | _ | 1 |
Cronbach α | 0.934 | 0.947 | 0.935 | 0.908 | 0.908 | 0.884 | 0.906 | 0.916 | 0.812 | 0.970 | 0.904 | |||||||||||
CI95 | 0.728 | 0.820 | 0.723 | 1.095 | 0.985 | 4.007 | 1.253 | 1.175 | 4.597 | 0.917 | 3.219 | |||||||||||