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SPSS® 12.0 Command Syntax Reference

SPSS® 12.0 Command Syntax Reference

SPSS® 12.0 Command Syntax Reference

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MANOVA: Univariate 849<br />

The specified contrast compares the other levels to the first level of B, in<br />

which B has the value 2. Simple contrasts are not orthogonal.<br />

REPEATED Comparison of adjacent levels. Each level of the factor except the first is<br />

compared to the previous level. Repeated contrasts are not orthogonal.<br />

SPECIAL A user-defined contrast. After this keyword, enter a square matrix in parentheses<br />

with as many rows and columns as there are levels in the factor. The<br />

first row represents the mean effect of the factor and is generally a vector of<br />

1’s. It represents a set of weights indicating how to collapse over the categories<br />

of this factor in estimating parameters for other factors. The other rows<br />

of the contrast matrix contain the special contrasts indicating the desired<br />

comparisons between levels of the factor. If the special contrasts are linear<br />

combinations of each other, MANOVA reports the linear dependency and<br />

stops processing.<br />

Orthogonal contrasts are particularly useful. In a balanced design, contrasts are orthogonal if<br />

the sum of the coefficients in each contrast row is 0 and if, for any pair of contrast rows, the<br />

products of corresponding coefficients sum to 0. DIFFERENCE, HELMERT, and POLYNOMIAL<br />

contrasts always meet these criteria in balanced designs.<br />

Example<br />

MANOVA DEP BY FAC(1,5)<br />

/CONTRAST(FAC)=DIFFERENCE<br />

/DESIGN=FAC(1) FAC(2) FAC(3) FAC(4).<br />

• The factor FAC has five categories and therefore four degrees of freedom.<br />

• CONTRAST requests DIFFERENCE contrasts, which compare each level (except the first)<br />

with the mean of the previous levels.<br />

• Each of the four degrees of freedom is tested individually on the DESIGN subcommand.<br />

PARTITION Subcommand<br />

PARTITION subdivides the degrees of freedom associated with a factor. This permits you to<br />

test the significance of the effect of a specific contrast or group of contrasts of the factor<br />

instead of the overall effect of all contrasts of the factor. The default is a single degree of<br />

freedom for each partition.<br />

• Specify the factor name in parentheses following the PARTITION subcommand.<br />

• Specify an integer list in parentheses after the optional equals sign to indicate the degrees<br />

of freedom for each partition.<br />

• Each value in the partition list must be a positive integer, and the sum of the values cannot<br />

exceed the degrees of freedom for the factor.<br />

• The degrees of freedom available for a factor are one less than the number of levels of the<br />

factor.<br />

• The meaning of each degree of freedom depends upon the contrast type for the factor. For<br />

example, with deviation contrasts (the default for between-subjects factors), each degree<br />

of freedom represents the deviation of the dependent variable in one level of the factor

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