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Construct Validity

Julia Swain Experimental Design & Analysis (Statistics) English

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Construct Validity

  1. Criterion Validity

    • evaluates how closely your measure's results align with those from existing, valid measures
      • Concurrent Validity
        • distinguishing participants appropriately
          • e.g. if assessing a new measure of depression, participants should be separated into two groups: depressives and non-depressives
      • Predictive Validity
        • measure's ability to predict future outcomes
          • e.g. reading scores at 7yo's predictive power of academic performance at 17
  2. Content Validity

    • all aspects of the construct are being assessed
      • e.g. if construct pertains to personality, does the measure assess the 5 main traits? (OCEAN)
  3. Face Validity

    • the measure's content seems suitable
      • e.g. does a test with math questions appear to be a relevant measure of arithmetic ability?
  4. Discriminant (Divergent) Validity

    • shows two measures that are not supposed to be related are in fact, unrelated
      • correlation coefficient can be used to prove dissociation
  5. Convergent Validity

    • two similar measures of the construct are significantly correlated (r= >.5, ideally >.7)
      • e.g. studying exam anxiety (construct) via a survey and participant observation. Convergence or correlation of scores shows both are measuring the same construct

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Description
mind map of construct validity and its five subtypes
Created by
Julia Swain · Mar 2021
Updated
Mar 10, 2021
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