Table 2.
Multivariatec,d | |||||||
---|---|---|---|---|---|---|---|
| |||||||
Within Subjects Effect | Value | F | Hypothesis df | Error df | Sig. | Partial Eta Squared | |
visit | Pillai's Trace | .656 | 10.735 | 4.000 | 88.000 | .000 | .328 |
Wilks' Lambda | .359 | 14.408a | 4.000 | 86.000 | .000 | .401 | |
Hotelling's Trace | 1.749 | 18.366 | 4.000 | 84.000 | .000 | .467 | |
Roy's Largest Root | 1.726 | 37.970b | 2.000 | 44.000 | .000 | .633 | |
| |||||||
measure | Pillai's Trace | .105 | 1.233a | 2.000 | 21.000 | .312 | .105 |
Wilks' Lambda | .895 | 1.233a | 2.000 | 21.000 | .312 | .105 | |
Hotelling's Trace | .117 | 1.233a | 2.000 | 21.000 | .312 | .105 | |
Roy's Largest Root | .117 | 1.233a | 2.000 | 21.000 | .312 | .105 | |
| |||||||
visit * measure | Pillai's Trace | .128 | 1.503 | 4.000 | 88.000 | .208 | .064 |
Wilks' Lambda | .875 | 1.489a | 4.000 | 86.000 | .213 | .065 | |
Hotelling's Trace | .140 | 1.474 | 4.000 | 84.000 | .217 | .066 | |
Roy's Largest Root | .115 | 2.525b | 2.000 | 44.000 | .092 | .103 |
Exact statistic
The statistic is an upper bound on F that yields a lower bound on the significance level.
Design: Intercept
Within Subjects Design: visit + measure + visit * measure
Tests are based on averaged variables.