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  2. Construct validity - Wikipedia

    en.wikipedia.org/wiki/Construct_validity

    Another method is the known-groups technique, which involves administering the measurement instrument to groups expected to differ due to known characteristics. Hypothesized relationship testing involves logical analysis based on theory or prior research. [6] Intervention studies are yet another method of evaluating construct validity ...

  3. Argument by example - Wikipedia

    en.wikipedia.org/wiki/Argument_by_example

    Though the above paragraph contains a common conclusion indicator word ("thus"), it nevertheless is merely illustrating a fact of taxonomy. However, this could be made into an argument. Taxonomists use Latin words to classify various animals so that scientists who speak different languages can communicate discoveries more easily.

  4. Statistical conclusion validity - Wikipedia

    en.wikipedia.org/wiki/Statistical_conclusion...

    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 ...

  5. Q methodology - Wikipedia

    en.wikipedia.org/wiki/Q_methodology

    Q methodology is a research method used in psychology and in social sciences to study people's "subjectivity"—that is, their viewpoint. Q was developed by psychologist William Stephenson . It has been used both in clinical settings for assessing a patient's progress over time (intra-rater comparison), as well as in research settings to ...

  6. Bibliometrics - Wikipedia

    en.wikipedia.org/wiki/Bibliometrics

    Bibliometrics is the application of statistical methods to the study of bibliographic data, especially in scientific and library and information science contexts, and is closely associated with scientometrics (the analysis of scientific metrics and indicators) to the point that both fields largely overlap.

  7. Indicator analysis - Wikipedia

    en.wikipedia.org/wiki/Indicator_analysis

    Indicator analysis is a structured analytic technique used in intelligence analysis. It uses historical data to expose trends and identify upcoming major shifts in a subject area, helping the analyst provide evidence-based forecasts with reduced cognitive bias .

  8. Literature review - Wikipedia

    en.wikipedia.org/wiki/Literature_review

    A good literature review has a proper research question, a proper theoretical framework, and/or a chosen research methodology. It serves to situate the current study within the body of the relevant literature and provides context for the reader. In such cases, the review usually precedes the methodology and results sections of the work.

  9. Dummy variable (statistics) - Wikipedia

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

    As with any addition of variables to a model, the addition of dummy variables will increase the within-sample model fit (coefficient of determination), but at a cost of fewer degrees of freedom and loss of generality of the model (out of sample model fit). Too many dummy variables result in a model that does not provide any general conclusions.