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  2. Moderation (statistics) - Wikipedia

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

    A statistical diagram of a simple moderation model. Moderation analysis in the behavioral sciences involves the use of linear multiple regression analysis or causal modelling. [1] To quantify the effect of a moderating variable in multiple regression analyses, regressing random variable Y on X, an additional term is added to the model.

  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

    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 ...

  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. List of analyses of categorical data - Wikipedia

    en.wikipedia.org/wiki/List_of_analyses_of...

    This is a list of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables. General tests [ edit ]

  8. JASP - Wikipedia

    en.wikipedia.org/wiki/JASP

    Summary statistics: Apply common Bayesian tests from frequentist summary statistics for t-test, regression, and binomial tests. Survival Analyses: non- & semi-parametric; Time Series: Time series analysis. Visual Modeling: Graphically explore the dependencies between variables. R Console: Execute R code in a console.

  9. Meta-regression - Wikipedia

    en.wikipedia.org/wiki/Meta-regression

    Meta-regression is a meta-analysis that uses regression analysis to combine, compare, and synthesize research findings from multiple studies while adjusting for the effects of available covariates on a response variable. A meta-regression analysis aims to reconcile conflicting studies or corroborate consistent ones; a meta-regression analysis ...