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SPSS® 12.0 Command Syntax Reference

SPSS® 12.0 Command Syntax Reference

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MANOVA: Univariate 865<br />

• The number does not refer to the number of partitioned effects (see “Partitioned Effects:<br />

Number in Parentheses” on p. 863).<br />

Example<br />

MANOVA YIELD BY SEED(2,4) FERT(1,3) PLOT (3,5)<br />

/DESIGN = FERT WITHIN PLOT(1) WITHIN SEED(2)<br />

• This example requests the effect of FERT within the second SEED level of the first PLOT<br />

level.<br />

• The second SEED level is associated with value 3 and the first PLOT level is associated<br />

with value 3.<br />

Use MWITHIN to request simple effects of within-subjects factors in repeated measures<br />

analysis (see MANOVA: Repeated Measures).<br />

Pooled Effects: Plus Sign<br />

To pool different effects for the purpose of significance testing, join the effects with a plus<br />

sign (+). A single test is made for the combined effect of the pooled terms.<br />

• The keyword BY is evaluated before effects are pooled together.<br />

• Parentheses are not allowed to change the order of evaluation. For example, it is illegal to<br />

specify (A + B) BY C. You must specify /DESIGN=A BY C + B BY C.<br />

Example<br />

MANOVA Y BY A(1,3) B(1,4) WITH X<br />

/ANALYSIS=Y<br />

/DESIGN=A, B, A BY B, A BY X + B BY X + A BY B BY X.<br />

• This example shows how to test homogeneity of regressions in a two-way analysis of<br />

variance.<br />

• The + signs are used to produce a pooled test of all interactions involving the covariate X.<br />

If this test is significant, the assumption of homogeneity of variance is questionable.<br />

MUPLUS Keyword<br />

MUPLUS combines the constant term (µ) in the model with the term specified after it. The normal<br />

use of this specification is to obtain parameter estimates that represent weighted means<br />

for the levels of some factor. For example, MUPLUS SEED represents the constant, or overall,<br />

mean plus the effect for each level of SEED. The significance of such effects is usually uninteresting,<br />

but the parameter estimates represent the weighted means for each level of SEED,<br />

adjusted for any covariates in the model.<br />

• MUPLUS cannot appear more than once on a given DESIGN subcommand.<br />

• MUPLUS is the only way to get standard errors for the predicted mean for each level of the<br />

factor specified.<br />

• Parameter estimates are not displayed by default; you must explicitly request them on the<br />

PRINT subcommand or via a CONTRAST subcommand.

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