SPSS® 12.0 Command Syntax Reference

648 GLM: Overview
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.
Custom Hypothesis Specifications
GLM provides a flexible way for you to customize hypothesis testing based on the general
linear hypothesis LBM = K, where B is the parameter vector or matrix. You can specify a
customized linear hypothesis by using one or a combination of the subcommands LMATRIX,
MMATRIX, KMATRIX, and CONTRAST.
LMATRIX, MMATRIX, and KMATRIX Subcommands
• The L matrix is called the contrast coefficients matrix. This matrix specifies coefficients
of contrasts, which can be used for studying the between-subjects effects in the
model. One way to define the L matrix is by specifying the CONTRAST subcommand, on
which you select a type of contrast. Another way is to specify your own L matrix directly
by using the LMATRIX subcommand. For details, see the syntax rules for these two subcommands
in GLM: Univariate.
• The M matrix is called the transformation coefficients matrix. This matrix provides a
transformation for the dependent variables. This transformation can be used to construct
contrasts among the dependent variables in the model. The M matrix can be specified
on the MMATRIX subcommand. For details, see the syntax rule for this subcommand in
GLM: Multivariate.
• The K matrix is called the contrast results matrix. This matrix specifies the results
matrix in the general linear hypothesis. To define your own K matrix, the KMATRIX
subcommand can be used. For details, see the syntax rules for this subcommand in
GLM: Univariate.