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  2. External validity - Wikipedia

    en.wikipedia.org/wiki/External_validity

    External validity is the validity of applying the conclusions of a scientific study outside the context of that study. [1] In other words, it is the extent to which the results of a study can generalize or transport to other situations, people, stimuli, and times.

  3. Novelty effect - Wikipedia

    en.wikipedia.org/wiki/Novelty_effect

    Over time, as the novelty wears off, the stress response decreases. This is a threat to external validity when individuals participating in a research study (a novel situation) perceive and respond differently than they would in the normal real world. [2]

  4. Bias (statistics) - Wikipedia

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

    Detection bias occurs when a phenomenon is more likely to be observed for a particular set of study subjects. For instance, the syndemic involving obesity and diabetes may mean doctors are more likely to look for diabetes in obese patients than in thinner patients, leading to an inflation in diabetes among obese patients because of skewed detection efforts.

  5. Selection bias - Wikipedia

    en.wikipedia.org/wiki/Selection_bias

    A distinction of sampling bias (albeit not a universally accepted one) is that it undermines the external validity of a test (the ability of its results to be generalized to the rest of the population), while selection bias mainly addresses internal validity for differences or similarities found in the sample at hand. In this sense, errors ...

  6. 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.

  7. Impact evaluation - Wikipedia

    en.wikipedia.org/wiki/Impact_evaluation

    There are five key principles relating to internal validity (study design) and external validity (generalizability) which rigorous impact evaluations should address: confounding factors, selection bias, spillover effects, contamination, and impact heterogeneity. [5]

  8. Ecological validity - Wikipedia

    en.wikipedia.org/wiki/Ecological_validity

    Ecological validity, the ability to generalize study findings to the real world, is a subcategory of external validity. [ 6 ] Another example highlighting the differences between these terms is from an experiment that studied pointing [ 7 ] —a trait originally attributed uniquely to humans—in captive chimpanzees.

  9. Wikipedia:Neutral point of view - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Neutral_point_of...

    The only bias that should be evident is the bias attributed to the source. Indicate the relative prominence of opposing views. Ensure that the reporting of different views on a subject adequately reflects the relative levels of support for those views and that it does not give a false impression of parity , or give undue weight to a particular ...