Chapter 14, Table 5: D Variables for Higher Order Designs for

Repeated Measures (Multivariate Approach) via SPSS Syntax

For the hypothetical data contained in Table 14.4, Table 14.5 gives an appropriate and substantively interesting set of D variables. The D variables (rather than the raw data itself) is used because of the benefits and flexibility gained from analyzing the D variables directly (rather than indirectly as we did with the Table 14.4 data).

Because the data of Table 14.5 is already in the form of D variables, rather than using the Repeated Measures procedures, the Multivariate procedures themselves can be used. Thus, by calling upon the GLM procedure and specifying that the parameter estimates should be printed (/PRINT=PARAMETER), the results of interest (specifically the omnibus main effects and interaction as well as the specific contrasts specified by the D variables) will be obtained.

At this point clicking Run and then All will yield the results of interest.