For the latest version of JMP Help, visit JMP.com/help.

Design of Experiments Guide > Choice Designs > Example of a Choice Design with Analysis > Design the Final Choice Experiment Using Prior Information
Publication date: 09/28/2021

Design the Final Choice Experiment Using Prior Information

In this section, you use the prior information obtained from the pilot laptop study to construct a final design. The final design will be administered to a set of ten participants.

1. Select Help > Sample Data Library and open Design Experiment/Laptop Factors.jmp.

2. Select DOE > Consumer Studies > Choice Design.

3. Click the Choice Design red triangle and select Load Factors.

4. Click Continue.

5. From the Untitled table, enter the values in the Estimate column into the Prior Mean outline in the Choice Design window (Figure 18.9).

You can copy and paste the entire column from the Untitled table, then click in the Disk Size text box under Prior Mean in the Prior Mean outline, right-click, and select Paste.

6. From the Untitled table, enter the values in the Std Error^2 column into the diagonal entries in the Prior Variance Matrix outline in the Choice Design window (Figure 18.9). Enter these one-by-one, rounded to three decimal places.

Figure 18.9 Prior Mean and Variance Information from Pilot Study 

Prior Mean and Variance Information from Pilot Study

7. In the Design Generation panel, enter 2 for the Number of surveys and five for the Expected number of respondents per survey.

This gives instruments for a total of 10 respondents and allows for two different sets of profiles.

8. Click Make Design.

9. Click Make Table.

The design table has 160 rows. There are 16 rows for each of the ten study respondents. Each respondent has 8 choice sets, each with 2 profiles. There are two surveys, each given to 5 respondents. The 160 rows result from the following calculation: 2 profiles * 8 choice sets * 2 surveys * 5 respondents = 160 rows.

The final design is now ready to be administered to the 10 respondents.

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).