RENAME Subcommand (MANOVA: Repeated Measures command)
Because any repeated measures analysis involves a transformation of the dependent variables, it is always a good idea to rename the dependent variables. Choose appropriate names depending on the type of contrast specified for within-subjects factors. This is easier to do if you are using one of the orthogonal contrasts. The most reliable way to assign new names is to inspect the transformation matrix.
Example
MANOVA LOW1 LOW2 LOW3 HI1 HI2 HI3
/WSFACTORS=LEVEL(2) TRIAL(3)
/CONTRAST(TRIAL)=DIFFERENCE
/RENAME=CONST LEVELDIF TRIAL21 TRIAL312 INTER1 INTER2
/PRINT=TRANSFORM
/DESIGN.
- This analysis has two within-subjects factors and no between-subjects factors.
- Difference contrasts are requested for TRIAL, which has three levels.
- Because all orthonormal contrasts produce the same F test for a factor with two levels, there is no point in specifying a contrast type for LEVEL.
- New names are assigned to the transformed variables based on the transformation matrix. These names correspond to the meaning of the transformed variables: the mean or constant, the average difference between levels, the average effect of trial 2 compared to 1, the average effect of trial 3 compared to 1 and 2; and the two interactions between LEVEL and TRIAL.
- The transformation matrix requested by the
PRINT
subcommand looks like the following table.
CONST | LEVELDIF | TRIAL1 | TRIAL2 | INTER1 | INTER2 | |
---|---|---|---|---|---|---|
LOW1 | 0.408 | 0.408 | -0.500 | -0.289 | -0.500 | -0.289 |
LOW2 | 0.408 | 0.408 | 0.500 | -0.289 | 0.500 | -0.289 |
LOW3 | 0.408 | 0.408 | 0.000 | 0.577 | 0.000 | 0.577 |
HI1 | 0.408 | -0.408 | -0.500 | -0.289 | 0.500 | 0.289 |
HI2 | 0.408 | -0.408 | 0.500 | -0.289 | -0.500 | 0.289 |
HI3 | 0.408 | -0.408 | 0.000 | 0.577 | 0.000 | -0.577 |