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.