Effect-IOP |
Value |
F |
Hypothesis
df |
Error df |
Sig. |
Partial Eta
Squared |
Noucent.
Parameter |
Observed
Powerb |
Pillai's Trace |
.089 |
1.667 |
6.000 |
214.000 |
.130 |
.045 |
10.003 |
.629 |
Wilk's Lambda |
.911 |
1680a |
6.000 |
212.000 |
.127 |
.045 |
10.079 |
.633 |
Hotelling's Trace |
.097 |
1.692 |
6.000 |
210.000 |
.124 |
.046 |
10.152 |
.636 |
Roy's Largest Root |
.089 |
3.185c |
3.000 |
107.000 |
.027 |
.082 |
9.555 |
.722 |
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 |