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  2. Generalizability theory - Wikipedia

    en.wikipedia.org/wiki/Generalizability_theory

    Generalizability theory, or G theory, is a statistical framework for conceptualizing, investigating, and designing reliable observations. It is used to determine the reliability (i.e., reproducibility) of measurements under specific conditions.

  3. External validity - Wikipedia

    en.wikipedia.org/wiki/External_validity

    Research in psychology experiments attempted in universities is often criticized for being conducted in artificial situations and that it cannot be generalized to real life. [21] [22] To solve this problem, social psychologists attempt to increase the generalizability of their results by making their studies as realistic as possible. As noted ...

  4. Validity (statistics) - Wikipedia

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

    The validity of a measurement tool (for example, a test in education) is the degree to which the tool measures what it claims to measure. [3] Validity is based on the strength of a collection of different types of evidence (e.g. face validity, construct validity, etc.) described in greater detail below.

  5. Ecological validity - Wikipedia

    en.wikipedia.org/wiki/Ecological_validity

    For example, high school grades have moderate ecological validity for predicting college grades. [2] Hammond [3] argued that the now common use of the term to refer to generality of research results to the "real world" is inappropriate because it robs the original usage of its meaning.

  6. Construct validity - Wikipedia

    en.wikipedia.org/wiki/Construct_validity

    Generalizability – Does the test generalize across different groups, settings and tasks? How construct validity should properly be viewed is still a subject of debate for validity theorists. The core of the difference lies in an epistemological difference between positivist and postpositivist theorists.

  7. Internal validity - Wikipedia

    en.wikipedia.org/wiki/Internal_validity

    For example, sex, weight, hair, eye, and skin color, personality, mental capabilities, and physical abilities, but also attitudes like motivation or willingness to participate. During the selection step of the research study, if an unequal number of test subjects have similar subject-related variables there is a threat to the internal validity.

  8. Bias in medical algorithms is one of AI’s long-running issues ...

    www.aol.com/finance/bias-medical-algorithms-one...

    Yesterday, an international initiative called "STANDING Together (STANdards for data Diversity, INclusivity and Generalizability)" released recommendations to address bias in medical AI ...

  9. Design of experiments - Wikipedia

    en.wikipedia.org/wiki/Design_of_experiments

    This example of design experiments is attributed to Harold Hotelling, building on examples from Frank Yates. [21] [22] [14] The experiments designed in this example involve combinatorial designs. [23] Weights of eight objects are measured using a pan balance and set of standard weights. Each weighing measures the weight difference between ...