Table 5.
Discriminant function |
|||||
---|---|---|---|---|---|
Mood dimension | 1 | 2 | 3 | 4 | 5 |
Dataset 1 | |||||
Tension | 0.574 | 0.254 | −0.085 | −0.662∗ | −0.309 |
Depression | 0.453 | 0.057 | −0.115 | 0.702∗ | −0.295 |
Anger | 0.425 | 0.129 | −0.094 | 0.239 | −0.455∗ |
Vigor | −0.132 | 0.739∗ | 0.631 | 0.048 | −0.114 |
Fatigue | 0.348 | −0.542 | 0.741∗ | −0.102 | 0.149 |
Confusion | 0.427 | 0.264 | −0.212 | 0.139 | 0.826∗ |
Dataset 2 | |||||
Tension | 0.445 | 0.268 | −0.063 | −0.691∗ | −0.126 |
Depression | 0.560 | 0.149 | −0.169 | 0.673∗ | −0.303 |
Anger | 0.494 | 0.234 | −0.114 | 0.259 | 0.781∗ |
Vigor | −0.176 | 0.728∗ | 0.663 | 0.012 | 0.015 |
Fatigue | 0.444 | −0.545 | 0.706∗ | −0.082 | 0.015 |
Confusion | 0.546∗ | 0.250 | −0.155 | −0.255 | −0.404 |
∗Largest absolute correlation between each variable and any discriminant function.