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  2. Multilevel model - Wikipedia

    en.wikipedia.org/wiki/Multilevel_model

    When computing a t-test, it is important to keep in mind the degrees of freedom, which will depend on the level of the predictor (e.g., level 1 predictor or level 2 predictor). [5] For a level 1 predictor, the degrees of freedom are based on the number of level 1 predictors, the number of groups and the number of individual observations.

  3. Bayesian hierarchical modeling - Wikipedia

    en.wikipedia.org/wiki/Bayesian_hierarchical_modeling

    Standard research cycle involves literature review, defining a problem and specifying the research question and hypothesis. Bayesian-specific workflow comprises three sub-steps: (b)–(i) formalizing prior distributions based on background knowledge and prior elicitation; (b)–(ii) determining the likelihood function based on a nonlinear ...

  4. Hierarchy of evidence - Wikipedia

    en.wikipedia.org/wiki/Hierarchy_of_evidence

    A large number of hierarchies of evidence have been proposed. Similar protocols for evaluation of research quality are still in development. So far, the available protocols pay relatively little attention to whether outcome research is relevant to efficacy (the outcome of a treatment performed under ideal conditions) or to effectiveness (the outcome of the treatment performed under ordinary ...

  5. DIKW pyramid - Wikipedia

    en.wikipedia.org/wiki/DIKW_Pyramid

    A standard representation of the pyramid form of DIKW models, from 2007 and earlier [1] [2]. The DIKW pyramid, also known variously as the knowledge pyramid, knowledge hierarchy, information hierarchy, [1]: 163 DIKW hierarchy, wisdom hierarchy, data pyramid, and information pyramid, [citation needed] sometimes also stylized as a chain, [3]: 15 [4] refer to models of possible structural and ...

  6. Hierarchical generalized linear model - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_generalized...

    For example, this method was used to analyze semiconductor manufacturing, because interrelated processes form a complex hierarchy. [6] Semiconductor fabrication is a complex process which requires different interrelated processes. [7] Hierarchical generalized linear model, requiring clustered data, is able to deal with complicated process.

  7. Unit-weighted regression - Wikipedia

    en.wikipedia.org/wiki/Unit-weighted_regression

    In such a case, each predictor can be converted into a standard score, or z-score, so that all the predictors have a mean of zero and a standard deviation of one. With this method of unit-weighted regression, the variate is a sum of the z -scores (e.g., Dawes, 1979; Bobko, Roth, & Buster, 2007).

  8. Random effects model - Wikipedia

    en.wikipedia.org/wiki/Random_effects_model

    In econometrics, a random effects model, also called a variance components model, is a statistical model where the model parameters are random variables.It is a kind of hierarchical linear model, which assumes that the data being analysed are drawn from a hierarchy of different populations whose differences relate to that hierarchy.

  9. Cognitive hierarchy theory - Wikipedia

    en.wikipedia.org/wiki/Cognitive_Hierarchy_Theory

    Cognitive hierarchy theory (CHT) is a behavioral model originating in behavioral economics and game theory that attempts to describe human thought processes in strategic games. CHT aims to improve upon the accuracy of predictions made by standard analytic methods (including backwards induction and iterated elimination of dominated strategies ...