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Validity

By Jim Frost

In statistics, validity is the degree that an assessment measures what it is supposed to measure.

A test that is not reliable cannot be valid. If repeated measurements are inconsistent, they’re not a valid measure of the characteristic.

Related

Related Articles:
  • Central Limit Theorem Explained
  • Five P Value Tips to Avoid Being Fooled by False Positives and other Misleading Hypothesis Test Results
  • Populations, Parameters, and Samples in Inferential Statistics
  • Internal and External Validity
  • Confounding Variables Can Bias Your Results

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