Significance testing can be applied to almost any run in the PowerSource Cross Table Tool to help users determine if differences in results are statistically significant. In order to add significance testing:
Select the variables in the rows and columns
Go to the calculation tab and the significance testing menu
Enable significance testing
Selecting the significance level from the drop down menu (J.D. Power standard is 10%)
Base size will default to unweighted, and results will default to positive and negative
Select what to test between Rows or Columns
Select comparison type from drop down menu
Input the base limit (J.D. Power standard is 30 Unweighted)
Select how to show the results
Generate table
We'll be rolling out more tips and tricks for PowerSource users to get the most out of a J.D. Power study subscription. Bookmark this tag, and check back for the latest.
Check out just one of many applications for this tip:
User request: "I need to add significance testing to my analysis."
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