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Modeling and Multivariate Methods - SAS

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

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

The profiler is used to explore the response surface of the model. Click on the Choice Model drop-down<br />

menu <strong>and</strong> select the Profiler. You can Alt-click on any segment of the Profiler graphics to lock that<br />

particular factor level. (F is locked by default in this example.) A solid vertical line appears in place of the<br />

dotted line. Other factor settings can then be assessed easily for the locked factor level.<br />

• As shown in Figure 16.10, when the female (F) level of Gender is locked, the Profiler shows that females<br />

prefer pizza with thin crust, mozzarella cheese, <strong>and</strong> no topping. For example, the Utility measure is<br />

higher for Crust equals Thin, meaning that females prefer thin crust.<br />

• Now, switch Gender to M to assess male pizza preferences. As shown in Figure 16.11, males prefer thick<br />

crust, mozzarella cheese, <strong>and</strong> pepperoni topping.<br />

Figure 16.10 Prediction Profiler with Subject Data <strong>and</strong> Female Level Factor Setting<br />

Figure 16.11 Prediction Profiler with Subject Data <strong>and</strong> Male Level Factor Setting<br />

Utility Grid Optimization<br />

The Prediction Profiler allows you to optimize the utility function over a grid of fixed subject factor settings<br />

without having to manually manipulate profiler settings:<br />

• Click on the platform drop-down-menu, select Profiler, <strong>and</strong> verify that one of the subject factors is<br />

locked. If not, Alt-click within the Profiler plot to lock the desired factor level. Set the Utility function to<br />

the maximum values for the other factors by sliding the red dotted vertical line.

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