Multiple Comparisons

In the Mixed Model personality of the Fit Model platform, the Multiple Comparisons option provides various methods for comparing least squares means of main effects and interaction effects. For more information about the multiple comparisons options, see “Multiple Comparisons”. For mixed model examples, see Compare All Treatments in June and Example of a Split Plot Experiment.

Only the fixed effect portion of the model is used in the multiple comparisons. The Multiple Comparisons report shows estimates of the least squares means, standard error, a t test of no effect, and a 95% confidence interval. You can change the α level in the Fit Model window by selecting Set Alpha Level from the Model Specification red triangle menu. This report is followed by the multiple comparisons test that you select. The All Pairwise Comparisons report provides equivalence tests.