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  2. Technological pedagogical content knowledge - Wikipedia

    en.wikipedia.org/wiki/Technological_pedagogical...

    For five years, Mishra & Koehler conducted an experiment to understand educators’ development of rich technology uses as well as helping them develop their teaching with technology. As a result of this work, they arrived at the Technological, Pedagogical, Content Knowledge (TPCK) model in 2008, later renamed to TPACK.

  3. Restricted maximum likelihood - Wikipedia

    en.wikipedia.org/wiki/Restricted_maximum_likelihood

    In statistics, the restricted (or residual, or reduced) maximum likelihood (REML) approach is a particular form of maximum likelihood estimation that does not base estimates on a maximum likelihood fit of all the information, but instead uses a likelihood function calculated from a transformed set of data, so that nuisance parameters have no effect.

  4. G*Power - Wikipedia

    en.wikipedia.org/wiki/G*Power

    A priori analyses are one of the most commonly used analyses in research and calculate the needed sample size in order to achieve a sufficient power level and requires inputted values for alpha and effect size. Compromise analyses find implied power based on the beta/alpha ratio, or q, and inputted values for effect size and sample size.

  5. Interaction (statistics) - Wikipedia

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

    Interaction effect of education and ideology on concern about sea level rise. In statistics, an interaction may arise when considering the relationship among three or more variables, and describes a situation in which the effect of one causal variable on an outcome depends on the state of a second causal variable (that is, when effects of the two causes are not additive).

  6. Mixed model - Wikipedia

    en.wikipedia.org/wiki/Mixed_model

    A mixed model, mixed-effects model or mixed error-component model is a statistical model containing both fixed effects and random effects. [ 1 ] [ 2 ] These models are useful in a wide variety of disciplines in the physical, biological and social sciences.

  7. 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.

  8. Dunning–Kruger effect - Wikipedia

    en.wikipedia.org/wiki/Dunning–Kruger_effect

    The Dunning–Kruger effect, on the other hand, focuses on how this type of misjudgment happens for poor performers. [38] [2] [4] When the better-than-average effect is paired with regression toward the mean, it shows a similar tendency. This way, it can explain both that unskilled people greatly overestimate their competence and that the ...

  9. Köhler theory - Wikipedia

    en.wikipedia.org/wiki/Köhler_theory

    Köhler theory combines the Kelvin effect, which describes the change in vapor pressure due to a curved surface, with Raoult's Law, which relates the vapor pressure to the solute concentration. [ 1 ] [ 2 ] [ 3 ] It was initially published in 1936 by Hilding Köhler , Professor of Meteorology in the Uppsala University.