RANDOM Subcommand (GLM: Univariate command)
RANDOM allows you to specify which effects in your design are random. When the RANDOM subcommand is used, a table of expected mean squares for all effects in the design is displayed, and an appropriate error term for testing each effect is calculated and used automatically.
- Random always implies a univariate mixed-model analysis.
- If you specify an effect on RANDOM, higher-order effects containing the specified effect (excluding any effects containing covariates) are automatically treated as random effects.
- The keyword INTERCEPT and effects containing covariates are not allowed on this subcommand.
- The RANDOM subcommand cannot be used if there is any within-subjects factor in the model (that is, RANDOM cannot be specified if WSFACTOR is specified).
- When the RANDOM subcommand is used, the appropriate error terms for the hypothesis testing of all effects in the model are automatically computed and used.
- More than one RANDOM subcommand is allowed. The specifications are accumulated.
Example
GLM DEP BY A B
/RANDOM = B
/DESIGN = A,B, A*B.
- In the example, effects B and A*B are considered as random effects. If only effect B is specified in the RANDOM subcommand, A*B is automatically considered as a random effect.
- The hypothesis testing for each effect in the design (A, B, and A*B) will be carried out by using the appropriate error term, which is calculated automatically.