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  2. 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 ...

  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. 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 ...

  5. 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 ...

  6. 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).

  7. 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.

  8. External validity - Wikipedia

    en.wikipedia.org/wiki/External_validity

    External validity is the validity of applying the conclusions of a scientific study outside the context of that study. [1] In other words, it is the extent to which the results of a study can generalize or transport to other situations, people, stimuli, and times.

  9. Social experiment - Wikipedia

    en.wikipedia.org/wiki/Social_experiment

    The experiment depends on a particular social approach where the main source of information is the participants' point of view and knowledge. To carry out a social experiment, specialists usually split participants into two groups — active participants (people who take action in particular events) and respondents (people who react to the action).