DOE Full Factorial Analysis

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This guide provides information on analyzing a full factorial experiment (experiments where every possible treatment combination is run). For instructions on designing of full factorial experiments, see the DOE Full Factorial Design guide.

Specify the Model and Analyze

1. From an open JMP^® table (for a completed full factorial experiment) select Analyze > Fit Model.
   Note: The Fit Model platform can also be accessed from the Model script saved to the data table made when the Designed Experiment was created.
2. In the Model Specification window:

• Click on the response under Select Columns, and click Y (under Pick Role Variables).
• Select the factors of interest. Under Macros, select Full Factorial (with Degree = 2) to enter all 5 main effects and all 10 2-way interactions into the model. 
• To remove higher-order interactions, select the interactions under Construct Model Effects and hit Remove.

3. Click Run. JMP will display the following results:

• The Actual by Predicted plot.
• The Effect Summary (shown).
• Some diagnostics plots.
• The Lack of Fit table (if replicates were used).
• Parameter estimates and effect tests.
• The Prediction Profiler and more.
• Other options are available under the top red triangle.

4. To reduce the model, remove non-significant terms bottom-up. To remove a term:

• In the Effect Summary, select the least significant term(s).
• Click Remove.
• Effect Heredity: Keep lower-order components with containing effects above them (indicated by ‘^’ in the right-most column).
• Repeat until the model has been reduced.
• Use the Prediction Profiler to explore the model, to optimize, and/or to simulate response values.
• Surface and Contour Profiler, and Interaction Plots are other graphs available to visualize the results.
• Model diagnostics and savings columns to the data table are available under the red triangle.

Note: The Easy DOE platform (under DOE menu) provides a guided workflow to step through the process of creating and analyzing experiments and is an alternative to the steps above for analyzing the experimental data.

Reactor 32 Runs.jmp (Help > Sample Data Folder > Design Experiment) This is a 25 full factorial design

Visit Design of Experiments Guide in JMP Help to learn more.