Identification of Active Effects in DSDs | JMP 13.2

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Design of Experiments Guide • The Fit Definitive Screening Platform • Overview of the Fit Definitive Screening Platform • Identification of Active Effects in DSDs

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Identification of Active Effects in DSDs

DSDs are three-level designs that are valuable for identifying main effects and second-order effects in a single experiment. A minimum run-size DSD is capable of correctly identifying active terms with high probability if the number of active effects is less than about half the number of runs and if the effects sizes exceed twice the standard deviation.

However, by augmenting a minimum run-size DSD with four or more properly selected runs, you can identify substantially more effects with high probability. These runs are called Extra Runs, and correspond to fictitious inactive factors, called fake factors. For information about Extra Runs, see Structure of Definitive Screening Designs in Definitive Screening Designs.

Extra Runs substantially increase the design’s ability to detect second-order effects. For this reason, Jones and Nachtsheim (2016) strongly encourage the inclusion of at least four Extra Runs.

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Help created on 9/19/2017