GDA Models Results - Quick Tab

Select the Quick tab of the GDA Models Results dialog to access the options described here. This tab displays summary results of the discriminant function analysis, the best subsets search, and the stepwise results.

Class means for predictors

Click the Class means for predictors button to display a results spreadsheet with the means for the predictor variables, for each class (group) of the dependent variable. If categorical predictor effects are included in the design, then the means will pertain to the coded design vectors, using sigma-restricted coding of effects. See also the General Linear Models (GLM) Introductory Overview for details.

Class std deviations for predictors

Click the Class std deviations for predictors button to display a results spreadsheet with the standard deviations for the predictor variables, for each class (group) of the dependent variable. If categorical predictor effects are included in the design, then the means will pertain to the coded design vectors, using sigma-restricted coding of effects. See also the General Linear Models (GLM) Introductory Overview for details.

Chi-square tests of successive roots

Click the Chi-square tests of successive roots button to display a spreadsheet with a step-down test for canonical roots (and discriminant functions). The first row in that spreadsheet contains the test of significance for all roots combined. The second row contains the significance of the remaining roots, after removing the first root, and so on. Thus, this spreadsheet allows us to evaluate how many significant roots to interpret.

Model building results

The options in the Model building results group box will display summary spreadsheets for the stepwise regression analysis or the best subset regression analysis respectively.

Summary of stepwise results

Click the Summary of stepwise results button to display a spreadsheet with the summary for the stepwise regression analysis. This option is only available if in the GDA Syntax, the MBUILD keyword was used with the options forward, backward, fstepwise, and bstepwise keywords, or if you selected Stepwise (forward, backward, forward entry, backward removal) on the Quick Specs Dialog - Advanced tab.

The spreadsheet will summarize the results at each step. Specifically, for each step the program will show (1) the p and F to remove and enter values for the effects that are in the model or not in the model, respectively, at that step, and (2) the name and p or F to enter or remove values for the effect that was entered or removed at that step. Refer to Model building in GRM in the Introductory Overview for details concerning the available model building procedures.

Summary of best subset search

Click the Summary of best subset search button to display a spreadsheet with the summary for the best subset regression analysis. This option is only available if in the GDA Syntax, the MBUILD keyword was used with the option BESTSUBSET, or if you selected Best subsets regression on the Quick Specs Dialog - Advanced tab.

The spreadsheet will summarize the results for the best k subsets of all subsets of size s that were considered. The value k (i.e., the number of subsets retained for each subset size) can be controlled via the GDA Syntax keyword MAXSUB or the Subsets to display option on the Quick Specs Dialog - Advanced tab. The subset sizes s that are considered during the best subset search can be controlled via the GDA Syntax keywords START and STOP, or the Start and Stop options on the Quick Specs Dialog - Advanced tab.

For each subset, the spreadsheet will show the value of the respective chosen criterion (i.e., Wilks' Lambda, Analysis misclass, or Crossval. misclass; see Best Subset Options or the description of the Best Subset Regression Keywords and options in the GDA Syntax), and the standardized regression coefficients (Coefficients) for all effects in the respective subset. Refer to Model building in GRM in the Introductory Overview for details concerning the available model building procedures.