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Convergent validity

As explained in Effective Data Analysis

Convergent validity is the degree to which a measure is associated with other measures that theoretically assess the same construct.

Convergent validity is the degree to which a measure relates to other measures that theoretically assess the same construct. Strong correlations support the interpretation that the measure captures what it is intended to capture. section 6.3.2

Use convergent validity to:

  • Compare a measure with theoretically related concepts or behaviors. section 6.3.2
  • Distinguish supporting evidence from discriminant validity, which expects weaker relationships with unrelated measures. section 6.3.2

NPS and referral behavior

To assess an NPS question, examine whether responses positively correlate with referral rates. A positive relationship supports using the question as a measure of referral likelihood. section 6.3.2

How Effective Data Analysis covers it

How deep it goes
Defines the criterion and recommends correlation assessment, while stopping short of specifying statistical thresholds or procedures.
Examples
Uses NPS responses and organizational referral rates as measures of related behavior.
What it assumes
Assumes a theoretical construct and related measures or behaviors, while introducing correlation-based validity assessment.
What you can do after
Evaluate whether a measure plausibly captures its intended construct by comparing it with theoretically related measures.
How it connects
Connects construct validity with discriminant validity, criterion validity, correlation, theoretical constructs, and referral behavior.
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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.