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  2. Validity (statistics) - Wikipedia

    en.wikipedia.org/wiki/Validity_(statistics)

    Validity [5] of an assessment is the degree to which it measures what it is supposed to measure. This is not the same as reliability, which is the extent to which a measurement gives results that are very consistent. Within validity, the measurement does not always have to be similar, as it does in reliability.

  3. Test validity - Wikipedia

    en.wikipedia.org/wiki/Test_validity

    Test validity is the extent to which a test (such as a chemical, physical, or scholastic test) accurately measures what it is supposed to measure.In the fields of psychological testing and educational testing, "validity refers to the degree to which evidence and theory support the interpretations of test scores entailed by proposed uses of tests". [1]

  4. Construct validity - Wikipedia

    en.wikipedia.org/wiki/Construct_validity

    Construct validity concerns how well a set of indicators represent or reflect a concept that is not directly measurable. [1] [2] [3] Construct validation is the accumulation of evidence to support the interpretation of what a measure reflects.

  5. Verification and validation - Wikipedia

    en.wikipedia.org/wiki/Verification_and_validation

    Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.

  6. Statistical conclusion validity - Wikipedia

    en.wikipedia.org/.../Statistical_conclusion_validity

    Statistical conclusion validity is the degree to which conclusions about the relationship among variables based on the data are correct or "reasonable". This began as being solely about whether the statistical conclusion about the relationship of the variables was correct, but now there is a movement towards moving to "reasonable" conclusions that use: quantitative, statistical, and ...

  7. External validity - Wikipedia

    en.wikipedia.org/wiki/External_validity

    In contrast, internal validity is the validity of conclusions drawn within the context of a particular study. Mathematical analysis of external validity concerns a determination of whether generalization across heterogeneous populations is feasible, and devising statistical and computational methods that produce valid generalizations. [4]

  8. How Democrats Are Faring In First Tests Of The Trump Backlash

    data.huffingtonpost.com/2017/special-elections

    An analysis of the special elections held since November offers some clues about the party's changing fortunes. By Alissa Scheller and Daniel Marans. PUBLISHED: Monday, April 10, 2017 9:30 AM EST. UPDATED: Wednesday, May 31, 2017 6:00 PM EST

  9. Regression validation - Wikipedia

    en.wikipedia.org/wiki/Regression_validation

    A development in medical statistics is the use of out-of-sample cross validation techniques in meta-analysis. It forms the basis of the validation statistic, Vn, which is used to test the statistical validity of meta-analysis summary estimates.