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Modeling and Multivariate Methods - SAS

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410 Performing Choice <strong>Modeling</strong> Chapter 16<br />

Launch the Choice Platform <strong>and</strong> Select Data Sets<br />

The profiler option is particularly valuable in underst<strong>and</strong>ing the model. It shows the value of the linear<br />

model, or the utility, as you change each factor, one at a time.<br />

• You specify the profiler option by selecting Profiler in the platform menu. The Prediction Profiler is<br />

shown in Figure 16.7.<br />

• In this example involving only main effects, the factor showing the greatest difference is Cheese,<br />

favoring Mozzarella.<br />

• If there were interactions in the model, more exploration of the profiler would be needed in order to<br />

underst<strong>and</strong> the response surface.<br />

Figure 16.7 Prediction Profiler with No Subject Data for Pizza Example<br />

Subject Effects<br />

If you want to include subject effects in the model, you need to open the Subject data table section of the<br />

Choice dialog box. Suppose you are interested in Gender main effects.<br />

• Open the Subject Data section of the launch dialog box. Click Select Data Table, <strong>and</strong> when the Subject<br />

Data Table opens, select Pizza Subjects.jmp.<br />

• Specify Subject as Subject ID, <strong>and</strong> add Gender under Construct Model Effects. The Subject data<br />

dialog box section for the pizza example is shown in Figure 16.8.<br />

• Click on Run Model.

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