Group items tagged

Likewise, the F test of overall model significance shown for the "Corrected Model" row of the GLM Univariate table is the same as that in the Regression ANOVA table.

Full Factorial ANOVA: Factorial ANOVA is for more than one factor (more than one independent -- hence for two-way ANOVA or higher), used to assess the relative importance of various combinations of independents. In a full factorial design, the model includes all main effects and all interactions among the factors but does not include interactions between the factors and the covariates. As such factorial anova is not a true separate form of ANOVA design but rather a way of combining designs. A design matrix table shows the intersection of the categories of the independent variables. A corresponding ANOVA table is constructed in which the columns are the various covariate (in ANCOVA), main, and interaction effects. See the discussion of two-way ANOVA below. Example.

Balanced designs are simply factorial designs where there are equal numbers of cases in each subgroup (cell) of the design, assuring that the factors are independent of one another (but not necessarily the covariates). Unbalanced designs have unequal n's in the cells formed by the intersection of the factors.