| Effect-IOP |
Value |
F |
Hypothesis
df |
Error df |
Sig. |
Partial Eta
Squared |
Noucent.
Parameter |
Observed
Powerb |
| Pillai's Trace |
.080 |
2.243 |
4.000 |
216.000 |
.065 |
.040 |
8.972 |
.651 |
| Wilk's Lambda |
.920 |
2.269a |
4.000 |
214.000 |
.063 |
.041 |
9.078 |
.657 |
| Hotelling's Trace |
.087 |
2.295 |
4.000 |
212.000 |
.060 |
.042 |
9.180 |
.662 |
| Roy's Largest Root |
.086 |
4.654c |
2.000 |
108.000 |
.012 |
.079 |
9.307 |
.773 |
a = Exact statistic; b = computed using alpha =0.05; c = The statistic is an upper bound on F that yields a lower bound on the significance level; d = Design: intercept + group |