Models (GLM command)

The following examples are models that can be specified by using GLM:

Model 1: Univariate or Multivariate Simple and Multiple Regression

GLM Y WITH X1 X2.


GLM Y1 Y2 WITH X1 X2 X3.

Model 2: Fixed-effects ANOVA and MANOVA

GLM Y1 Y2 BY B.

Model 3: ANCOVA and Multivariate ANCOVA (MANCOVA)

GLM Y1 Y2 BY B WITH X1 X2 X3.

Model 4: Random-effects ANOVA and ANCOVA

GLM Y1 BY C WITH X1 X2
 /RANDOM = C.

Model 5: Mixed-model ANOVA and ANCOVA

GLM Y1 BY B, C WITH X1 X2
 /RANDOM = C.

Model 6: Repeated Measures Analysis Using a Split-plot Design

(Univariate mixed models approach with subject as a random effect)

If drug is a between-subjects factor and time is a within-subjects factor,

GLM Y BY DRUG SUBJECT TIME
 /RANDOM = SUBJECT
 /DESIGN = DRUG SUBJECT*DRUG TIME DRUG*TIME.

Model 7: Repeated Measures Using the WSFACTOR Subcommand

Use this model only when there is no random between-subjects effect in the model. For example, if Y1, Y2, Y3, and Y4 are the dependent variables, measured at times 1 to 4,

GLM Y1 Y2 Y3 Y4 BY DRUG
 /WSFACTOR = TIME 4
 /DESIGN.

Model 8: Repeated Measures Doubly Multivariate Model

Repeated measures fixed-effects MANOVA is also called a doubly multivariate model. Varying or time-dependent covariates are not available. This model can be used only when there is no random between-subjects effect in the model.

GLM X11 X12 X13 X21 X22 X23
		  Y11 Y12 Y13 Y21 Y22 Y23 BY C D
/MEASURE = X Y
/WSFACTOR = A 2 B 3
/WSDESIGN = A B A*B
/DESIGN = C D.

Model 9: Means Model for ANOVA and MANOVA

This model takes only fixed-effect factors (no random effects and covariates) and always assumes the highest order of the interactions among the factors. For example, B, D, and E are fixed factors, and Y1 and Y2 are two dependent variables. You can specify a means model by suppressing the intercept effect and specifying the highest order of interaction on the DESIGN subcommand.

GLM Y1 Y2 BY B, D, E
/INTERCEPT = EXCLUDE
/DESIGN = B*D*E.