Validity Score

Use this section when your question is how Licklider summarizes the current statistical claim-readiness of a figure and you need the page that explains that overall assessment.

This section is for understanding the aggregate validity state of a figure, not for assuming that Licklider can automatically prove a result is valid in every scientific sense. If your first question is about a specific validity threat such as assumptions, design structure, missing data, multiplicity, or model diagnostics, start with the corresponding Quality Checks category before returning here.

Is this the right section?

Use the table below to decide whether you need the Validity Score category and which page to read next.

If your main question is not about the overall summary state, this is usually not your first stop. Use Assumptions and Robustness, Design and Independence, Missingness, Multiplicity, and Degrees of Freedom, or Model Diagnostics instead.

Support boundary

This category explains the overall validity assessment for a figure, not a universal guarantee that the analysis is complete, correct, or automatically safe to treat as evidence.

Child pages

• Statistical Validity Score

Start here

1. Start with Statistical Validity Score when you need to understand what the overall validity state means, how it affects claim-bearing export, and how it relates to the underlying linked checks.

What this section does not cover

• Detailed resolution of one specific issue such as normality, pseudoreplication, missing data, multiplicity, or regression mis-specification.
• Primary method selection or figure choice; use Methods or Figures and Visualization when those are the real first question.

Related

• Related links are registered in frontmatter and rendered below this page.