SPSS® 12.0 Command Syntax Reference

644 GLM: Overview
[/KMATRIX= {list of numbers }]
{list of numbers;...}
[/POSTHOC = effect [effect...]
([SNK] [TUKEY] [BTUKEY][DUNCAN]
[SCHEFFE] [DUNNETT(refcat)] [DUNNETTL(refcat)]
[DUNNETTR(refcat)] [BONFERRONI] [LSD] [SIDAK]
[GT2] [GABRIEL] [FREGW] [QREGW] [T2] [T3] [GH][C]
[WALLER ({100** })]]
{kratio}
[VS effect]
[/EMMEANS=TABLES({OVERALL })] [COMPARE ADJ(LSD(none)) (BONFERRONI) (SIDAK)]
{factor }
{factor*factor... }
{wsfactor }
{wsfactor*wsfactor ... }
{factor*...wsfactor*...}
[/SAVE=[tempvar [(list of names)]] [tempvar [(list of names)]]...]
[DESIGN]
[/OUTFILE= [{COVB (filename)}] [EFFECT(filename)] [DESIGN(filename)]
{CORB (filename)}
[/DESIGN={[INTERCEPT...] }]
{[effect effect...]}
† WSDESIGN uses the same specification as DESIGN, with only within-subjects factors.
‡ DEVIATION is the default for between-subjects factors, while POLYNOMIAL is the default for withinsubjects
factors.
** Default if subcommand or keyword is omitted.
Temporary variables (tempvar) are:
Overview
PRED, WPRED, RESID, WRESID, DRESID, ZRESID, SRESID, SEPRED, COOK, LEVER
GLM (general linear model) is a general procedure for analysis of variance and covariance,
as well as regression. GLM is the most versatile of the analysis-of-variance procedures in
SPSS and can be used for both univariate and multivariate designs. GLM allows you to:
• Include interaction and nested effects in your design model. Multiple nesting is allowed;
for example, A within B within C is specified as A(B(C)).
• Include covariates in your design model. GLM also allows covariate-by-covariate and
covariate-by-factor interactions such as X by X (or X*X), X by A (or X*A), and X by A within
B (or X*A(B)). Thus, polynomial regression or a test of the homogeneity of regressions
can be performed.
• Select appropriate sums-of-squares hypothesis tests for effects in balanced design models,
unbalanced all-cells-filled design models, and some-cells-empty design models. The
estimable functions corresponding to the hypothesis test for each effect in the model can
also be displayed.
• Display the general form of estimable functions.