Design & Analysis of Experiments with Two- and Three-Level Factors - Analyze Design Tab

Designs for Factors at 2 and 3 Levels

Select the Analyze design tab of the Design & Analysis of Experiments with Two- and Three-Level Factors dialog to access options to specify the variables to use in analyzing a design with two- and three-level factors.

Variables

Click the Variables button to display the standard variable selection dialog, in which you specify the dependent variables of interest, the independent variable list (list of factors in the design), and an optional blocking variable. After selecting the variables for the analysis, STATISTICA reads the data and determines whether a valid design with two- and three-level factors is specified in the selected variables. Note that if your design is not a typical two- and three-level factorial design, then instead use option Central composite, non-factorial, surface designs from the Quick tab of the Startup Panel; there, no assumptions are made about the nature of the design, and any combination of factor settings, with any number of distinct levels, can be analyzed.

Note: Multiple dependent variables and missing data. When more than one dependent variable is specified, then, when reading the data, STATISTICA performs casewise deletion of missing data. Thus, a case or run is excluded from the analysis if it has missing data for any of the dependent variables specified for the analysis.