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  2. Internal validity - Wikipedia

    en.wikipedia.org/wiki/Internal_validity

    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. For example, a researcher created two test groups, the experimental and the control groups.

  3. Validity (statistics) - Wikipedia

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

    In other words, the relevance of external and internal validity to a research study depends on the goals of the study. Furthermore, conflating research goals with validity concerns can lead to the mutual-internal-validity problem, where theories are able to explain only phenomena in artificial laboratory settings but not the real world. [13] [14]

  4. Member check - Wikipedia

    en.wikipedia.org/wiki/Member_check

    In qualitative research, a member check, also known as informant feedback or respondent validation, is a technique used by researchers to help improve the accuracy, credibility, validity, and transferability (also known as applicability, internal validity, [1] or fittingness) of a study. [2]

  5. Internal consistency - Wikipedia

    en.wikipedia.org/wiki/Internal_consistency

    In statistics and research, internal consistency is typically a measure based on the correlations between different items on the same test (or the same subscale on a larger test). It measures whether several items that propose to measure the same general construct produce similar scores.

  6. Critical appraisal - Wikipedia

    en.wikipedia.org/wiki/Critical_appraisal

    Critical appraisal (or quality assessment) in evidence based medicine, is the use of explicit, transparent methods to assess the data in published research, applying the rules of evidence to factors such as internal validity, adherence to reporting standards, conclusions, generalizability and risk-of-bias.

  7. Quasi-experiment - Wikipedia

    en.wikipedia.org/wiki/Quasi-experiment

    The lack of random assignment in the quasi-experimental design method may allow studies to be more feasible, but this also poses many challenges for the investigator in terms of internal validity. This deficiency in randomization makes it harder to rule out confounding variables and introduces new threats to internal validity. [11]

  8. 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 ...

  9. Case series - Wikipedia

    en.wikipedia.org/wiki/Case_series

    Internal validity of case series studies is usually very low, due to the lack of a comparator group exposed to the same array of intervening variables. For example, the effects seen may be wholly or partly due to intervening effects such as the placebo effect, Hawthorne effect , Rosenthal effect , time effects, practice effects or the natural ...