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Complex Samples General Linear Model
The Estimated Means dialog box allows you to display the model-estimated marginal means for
levels of factors and factor interactions specified in the Model subdialog box. You can also request
that the overall population mean be displayed.
Term. Estimated means are computed for the selected factors and factor interactions.
Contrast. The contrast determines how hypothesis tests are set up to compare the estimated means.
Simple. Compares the mean of each level to the mean of a specified level. This type of contrast
is useful when there is a control group.
Deviation. Compares the mean of each level (except a reference category) to the mean of all of
the levels (grand mean). The levels of the factor can be in any order.
Difference. Compares the mean of each level (except the first) to the mean of previous levels.
They are sometimes called reverse Helmert contrasts.
Helmert. Compares the mean of each level of the factor (except the last) to the mean of
subsequent levels.
Repeated. Compares the mean of each level (except the last) to the mean of the subsequent
level.
Polynomial. Compares the linear effect, quadratic effect, cubic effect, and so on. The
first degree of freedom contains the linear effect across all categories; the second degree
of freedom, the quadratic effect; and so on. These contrasts are often used to estimate
polynomial trends.
Reference Category. The simple and deviation contrasts require a reference category or factor
level against which the others are compared.
Complex Samples General Linear Model Save
Figure 9-6
General Linear Model Save dialog box
Save Variables. This group allows you to save the model predicted values and residuals as new
variables in the working file.