In this example, four different fertilizer treatments are laid out in vertical strips, which are then split into subplots with different levels of calcium. Soil type is stripped across the split-plot experiment, and the entire experiment is then replicated three times. The dependent variable is the yield of winter barley. The data come from the notes of G.
PROC FACTEX: A Strip-Split-Split-Plot Design -
Use JMP for split-plot and strip-plot designs, where some factors apply to the whole process and others to part of the process, or where treatments are determined by hard-to-vary factors. Presenter: Don McCormack. The presenter defines a split-plot design as one where treatment is applied to more than one experimental unit because one or more factors are associated with batch processing or are difficult, expensive or time consuming to change. He describes industrial situations where split plots are appropriate, compares split-split plots to strip plots and uses a case study to create a split-split-plot design. The presenter creates a strip-plot design using the same case he used for his split-split-plot demonstration and identifies the differences between the two approaches. He demonstrates how to set up designs using legacy data.
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14.4 - The Split-Split-Plot Design
These designs are also called Split-Block Designs. In the case where there are only two factors, Factor A is applied to whole plots like the usual split-plot designs but factor B is also applied to strips which are actually a new set of whole plots orthogonal to the original plots used for factor A. Figure Montgomery, 7th Edition.