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  2. 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 ...

  3. Moderation (statistics) - Wikipedia

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

    If the first independent variable is a categorical variable (e.g. gender) and the second is a continuous variable (e.g. scores on the Satisfaction With Life Scale (SWLS)), then b 1 represents the difference in the dependent variable between males and females when life satisfaction is zero. However, a zero score on the Satisfaction With Life ...

  4. Sobel test - Wikipedia

    en.wikipedia.org/wiki/Sobel_test

    Where the circles overlap represents variance the circles have in common and thus the effect of one variable on the second variable. For example sections c + d represent the effect of the independent variable on the dependent variable, if we ignore the mediator, and corresponds to τ. This total amount of variance in the dependent variable that ...

  5. Moderated mediation - Wikipedia

    en.wikipedia.org/wiki/Moderated_mediation

    The following regression equations are fundamental to their model of moderated mediation, where A = independent variable, C = outcome variable, B = mediator variable, and D = moderator variable. C = β 40 + β 41 A + β 42 D + β 43 AD + ε 4. This equation assesses moderation of the overall treatment effect of A on C. B = β 50 + β 51 A + β ...

  6. 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 ...

  7. Influence of mass media - Wikipedia

    en.wikipedia.org/wiki/Influence_of_mass_media

    An indirect effect indicates that an independent variable (e.g., media use) affecting the dependent variables (e.g., outcomes of media use) via one or more intervening (mediating) variables. The conceptualization of indirect media effects urges attention to be paid to those intervening variables to better explain how and why media effects occur.

  8. Suppressor variable - Wikipedia

    en.wikipedia.org/wiki/Suppressor_variable

    A suppressor variable is a variable that increases the predictive validity of another variable when included in a regression equation. [1] Suppression can occur when a single causal variable is related to an outcome variable through two separate mediator variables, and when one of those mediated effects is positive and one is negative.

  9. Hierarchy of Influences - Wikipedia

    en.wikipedia.org/wiki/Hierarchy_of_Influences

    The HOI model instead made the content produced by news media the dependent variable in research studies, influenced by factors located within the hierarchical framework. From a media sociology perspective, the framework "takes into account the multiple forces that simultaneously impinge on media and suggests how influence at one level may ...