Select the Summary tab of the Variance Estimation and Precision Results dialog box to access the options described here.

Summary report. Click the Summary report button to produce a STATISTICA Report document containing a Pareto chart for the variance components (if there are random effects in the model), a plot of predicted vs. residuals, a variability plot and the ANOVA table for each selected response variable. If there are more than seven factors in the design, you will first be prompted to select up to seven factors to use in the variability plot.

Variability plot. Click the Variability plot button to produce a variability plot for each of the selected response variable(s). This type of graph is useful to evaluate the variability of one factor within several other organizing factors. Options for customizing the default variability plot (e.g., putting boxes around organizing factors or showing group means/medians) are available by double-clicking in the graph background and selecting the Plot: Variability Plot tab of the Graph Options dialog box. If there are more than seven factors in the design, you will be prompted to select the (up to seven) factors to use in the variability plot. Initially, selected factors are plotted using the order found in the spreadsheet (e.g., Var1, Var2, Var3, etc.). Options for rearranging factor order and adding a replicate factor are available in the Plot: Variability Plot tab of the Graph Options dialog box.

ANOVA table. Click the ANOVA table button to display a spreadsheet(s) containing univariate results for the selected response variable(s). When the ANOVA estimation method has been selected (see Estimation method on the Define/Review Model dialog box), results are given for each effect and include degrees of freedom and mean squares, denominator synthesis degrees of freedom and mean squares, F test-statistic and p-value. For more information on denominator synthesis and how results are calculated for each estimating method, see Computational Details. See also, ANOVA and REML Implementation.

Previewing the ANOVA table. If you have not specified a response variable (or if you have not yet collected data for your response variables), you can click the ANOVA table button to display a minimal ANOVA table that indicates the degrees of freedom associated with each (combined) effect. Items in this "skeleton" ANOVA table are color coded based on their degrees of freedom. Combined effects with fewer than 4 degrees of freedom are displayed in red, combined effects with 4-8 degrees of freedom are shown in yellow, and combined effects with more than 8 degrees of freedom are shown in green. A warning will also be displayed for any fixed, interaction effects that have empty cells in the design.

Expected MSs. Click the Expected MSs button to display a spreadsheet with the elements of the expected mean squares coefficient matrix, which are used to estimate the variation for each effect in the model. Note that this option is only available when the ANOVA estimation method has been selected (see Define/Review Model dialog box).

Collapse variance components. Click the Collapse variance components button to display the Collapse Variance Components dialog box, which is used to combine and review variance component estimates.

Collapse table. Click the Collapse table button to produce a spreadsheet of variance component estimates with their degrees of freedom. To include collapsed variance estimates in this spreadsheet, enter a number in the Collapse level field (see below). The spreadsheet will then include all combinations of the collapsed effects for the specified level [e.g., if the design has three variance estimates (A, B, and C) and a 2 is entered in the Collapse level field, then the spreadsheet will include estimates for A, B, C, A+B, A+C, and B+C]. Note that negative variance estimates and collapsed variance estimates involving negative variance estimates will not be displayed in this spreadsheet.

Collapse level. Enter a number in the Collapse level edit field to specify the level of collapsed variance components that you want to include in the variance components spreadsheet. You can enter a number between 1 and k-1 where k is the number of estimated variance components.