Full Factorial Designs

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Design of Experiments Guide • Full Factorial Designs

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Full Factorial Designs

A full factorial design defines an experiment where trials are run at all possible combinations of factor settings. A full factorial design allows the estimation of all possible interactions. Full factorial designs are large compared to screening designs, and since high-level interactions are often not active, they can be inefficient. They are typically used when you have a small number of factors and levels and want information about all possible interactions. For example, full factorial designs often form the basis for a measurement systems analysis (MSA).

Figure 12.1 Full Factorial Design for Three Two-Level Factors

Contents

Overview of Full Factorial Design

Example of a Full Factorial Design

Construct the Design

Analyze the Experimental Data

Full Factorial Design Window

Select Output Options

Full Factorial Design Options

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Help created on 3/19/2020