For the complete documentation index, see llms.txt. This page is also available as Markdown.
Step 2: Understanding the Interface
Once script generation is complete, the Data Validation module presents two primary views: Checks and Respondents. Together, they give you full visibility into the validation logic and the underlying data.
Checks View
The Checks view is the main workspace for reviewing and managing your validation scripts. Each block corresponds to a question from the questionnaire. You can also use the navigation on the left to scroll to scripts for specific questions.
Every check will be followed after a comment that describes the intent of the check
Respondents View
The Respondents tab provides a raw tabular view of the data from your SAV file. Each row represents a respondent, and each column corresponds to a variable.
You can use column filters to narrow down the view to specific variables or respondent subsets. This is useful for spot-checking data before running validation, or for examining the raw responses of respondents flagged by a particular check.
After checks are run, the Respondents view also supports validation filters — letting you display only respondents who failed validation on specific questions, so you can quickly drill into problem areas.
