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SPSS® 12.0 Command Syntax Reference

SPSS® 12.0 Command Syntax Reference

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866 MANOVA: Univariate<br />

• You can obtain the unweighted mean by specifying the full factorial model, excluding<br />

those terms contained by an effect, and prefixing the effect whose mean is to be found by<br />

MUPLUS.<br />

Effects of Continuous Variables<br />

Usually you name factors but not covariates on the DESIGN subcommand. The linear effects<br />

of covariates are removed from the dependent variable before the design is tested. However,<br />

the design can include variables measured at the interval level and originally named as covariates<br />

or as additional dependent variables.<br />

• Continuous variables on a DESIGN subcommand must be named as dependents or covariates<br />

on the MANOVA variable list.<br />

• Before you can name a continuous variable on a DESIGN subcommand, you must supply an<br />

ANALYSIS subcommand that does not name the variable. This excludes it from the analysis<br />

as a dependent variable or covariate and makes it eligible for inclusion on DESIGN.<br />

• More than one continuous variable can be pooled into a single effect (provided that they<br />

are all excluded on an ANALYSIS subcommand) with the keyword POOL(varlist). For a single<br />

continuous variable, POOL(VAR) is equivalent to VAR.<br />

• The TO convention in the variable list for POOL refers to the order of continuous variables<br />

(dependent variables and covariates) on the original MANOVA variable list, which is not<br />

necessarily their order on the working data file. This is the only allowable use of the keyword<br />

TO on a DESIGN subcommand.<br />

• You can specify interaction terms between factors and continuous variables. If FAC is a<br />

factor and COV is a covariate that has been omitted from an ANALYSIS subcommand, FAC<br />

BY COV is a valid specification on a DESIGN statement.<br />

• You cannot specify an interaction between two continuous variables. Use the COMPUTE<br />

command to create a variable representing the interaction prior to MANOVA.<br />

Example<br />

* This example tests whether the regression of the dependent<br />

variable Y on the two variables X1 and X2 is the same across<br />

all the categories of the factors AGE and TREATMNT.<br />

MANOVA Y BY AGE(1,5) TREATMNT(1,3) WITH X1, X2<br />

/ANALYSIS = Y<br />

/DESIGN = POOL(X1,X2),<br />

AGE, TREATMNT, AGE BY TREATMNT,<br />

POOL(X1,X2) BY AGE + POOL(X1,X2) BY TREATMNT<br />

+ POOL(X1,X2) BY AGE BY TREATMNT.<br />

• ANALYSIS excludes X1 and X2 from the standard treatment of covariates, so that they can<br />

be used in the design.<br />

• DESIGN includes five terms. POOL(X1,X2), the overall regression of the dependent<br />

variable on X1 and X2, is entered first, followed by the two factors and their interaction.<br />

• The last term is the test for equal regressions. It consists of three factor-by-continuousvariable<br />

interactions pooled together. POOL(X1,X2) BY AGE is the interaction between<br />

AGE and the combined effect of the continuous variables X1 and X2. It is combined

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