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  2. Moderation (statistics) - Wikipedia

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

    In statistics and regression analysis, moderation (also known as effect modification) occurs when the relationship between two variables depends on a third variable. The third variable is referred to as the moderator variable (or effect modifier ) or simply the moderator (or modifier ).

  3. Mediation (statistics) - Wikipedia

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

    Simple mediation model. The independent variable causes the mediator variable; the mediator variable causes the dependent variable. In statistics, a mediation model seeks to identify and explain the mechanism or process that underlies an observed relationship between an independent variable and a dependent variable via the inclusion of a third hypothetical variable, known as a mediator ...

  4. Moderated mediation - Wikipedia

    en.wikipedia.org/wiki/Moderated_mediation

    In statistics, moderation and mediation can occur together in the same model. [1] Moderated mediation, also known as conditional indirect effects, [2] occurs when the treatment effect of an independent variable A on an outcome variable C via a mediator variable B differs depending on levels of a moderator variable D. Specifically, either the ...

  5. Sobel test - Wikipedia

    en.wikipedia.org/wiki/Sobel_test

    In statistics, the Sobel test is a method of testing the significance of a mediation effect. The test is based on the work of Michael E. Sobel, [1] [2] and is an application of the delta method.

  6. Psychological statistics - Wikipedia

    en.wikipedia.org/wiki/Psychological_statistics

    Confirmatory Factor Analysis (CFA) is a factor analytic technique that begins with a theory and test the theory by carrying out factor analysis. The CFA is also called as latent structure analysis, which considers factor as latent variables causing actual observable variables. The basic equation of the CFA is X = Λξ + δ

  7. Spurious relationship - Wikipedia

    en.wikipedia.org/wiki/Spurious_relationship

    Graphical model: Whereas a mediator is a factor in the causal chain (top), a confounder is a spurious factor incorrectly implying causation (bottom). In statistics, a spurious relationship or spurious correlation [1] [2] is a mathematical relationship in which two or more events or variables are associated but not causally related, due to either coincidence or the presence of a certain third ...

  8. Are NFL quarterbacks worth their high salaries? - AOL

    www.aol.com/sports/nfl-quarterbacks-worth-high...

    NFL teams are spending big on quarterbacks. Stacker compiled a list of QBs with a $200 million contract using data from Spotrac.

  9. Survey (human research) - Wikipedia

    en.wikipedia.org/wiki/Survey_(human_research)

    A moderator variable affects the direction or strength of the correlation between two variables. A spurious relationship is a relationship in which the relation between two variables can be explained by a third variable. Moreover, in survey research, correlation coefficients between two variables might be affected by measurement error, what can