Design of Experiments Guide  • Screening Designs • Overview of Screening Designs • Analysis of Screening Design Results
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Analysis of Screening Design Results
Screening designs are often used to test a large number of factors or interactions. When there are degrees of freedom for error, allowing construction of an error estimate, the experimental results can be analyzed using the usual regression techniques (Analyze > Fit Model).
However, sometimes there are no degrees of freedom for error. In this case, assuming effect sparsity, the Screening platform (Analyze > Specialized Modeling > Specialized DOE Models > Fit Two Level Screening) provides a way to analyze the results of a two-level design. The Screening platform accepts multiple responses and multiple factors. It automatically shows significant effects with plots and statistics. For details, see The Fit Two Level Screening Platform topic. For an examples in the current chapter, see Modify Generating Rules in a Fractional Factorial Design and Plackett-Burman Design.

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Help created on 7/12/2018