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Measurement Quality

Test Validity

Also called: assessment validity, personality test validity, validity evidence

Test validity is the degree to which evidence and theory support a particular interpretation and use of assessment scores. It is not a simple stamp that a test either has or lacks. Validity depends on what the score is claimed to mean, who takes the assessment, how it is administered, and what decisions follow from it.

Reviewed July 14, 2026 · 2 min read

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Validity is about an interpretation

An assessment does not become “valid” for every purpose. Evidence that supports using a personality score for self-reflection may not support using it to select employees or diagnose a disorder. The claim and consequence determine what evidence is needed.

Modern measurement standards treat validity as an integrated argument. Researchers examine the test's content, response processes, internal structure, relationships with other variables, and consequences of use.

Common sources of validity evidence

  • Content evidence: Do items adequately represent the intended domain?
  • Response-process evidence: Do people understand and answer items as intended?
  • Internal-structure evidence: Does the pattern among items fit the proposed dimensions?
  • Relations with other variables: Do scores correlate with relevant measures and outcomes as predicted?
  • Consequences: Are intended and unintended effects consistent with responsible use?

Older descriptions often call these “types of validity.” It is clearer to view them as different sources supporting one interpretation.

Example in personality testing

Suppose a scale claims to measure conscientiousness. Supporting evidence might show that its items cover organization, persistence, and responsibility; respondents interpret the items consistently; the scale is related to established conscientiousness measures; and it predicts relevant behavior without merely measuring social desirability.

One favorable correlation is not enough. Alternative explanations and differences across populations matter.

What validity does not mean

Validity is not the percentage of questions someone answered “correctly,” and it is not the same as reliability. Consistent scores are necessary for many interpretations, but a consistently measured score can still represent the wrong construct.

Go deeper: Soultrace methodology and evidence

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Related terms

Construct ValidityConstruct validity is the body of evidence supporting the interpretation that an assessment score represents the intended psychological construct. Researchers examine item content, score structure, expected links with similar and different measures, response processes, and competing explanations. It is built through multiple studies rather than established by one statistic.Test ReliabilityTest reliability is the consistency or precision of scores under specified conditions. A reliable assessment produces sufficiently similar results when the measured characteristic should be stable, or shows coherent evidence across relevant items. Reliability limits how confidently small score differences can be interpreted, but high reliability alone does not prove that the right construct is being measured.Validity vs ReliabilityReliability asks whether assessment scores are consistent or precise; validity asks whether evidence supports the meaning and use assigned to those scores. A measure can be reliable but invalid, because it may consistently measure the wrong thing. Valid interpretations usually require adequate reliability, but reliability by itself is never enough.