Compute the indirect effect for a mediation model, given the value of the regression coefficient between the independent variable and the mediator variable and the value of the regression coefficient between the mediator variable and the dependent variable. Mediation models are very common in analytics studies, and knowing the size of the indirect effect is critical to interpreting the results of these studies.
Compute the 90%, 95%, and 99% confidence intervals for a mediation indirect effect, given values of the regression coefficient and standard error for the relationship between the mediator and the dependent variable, and values of the regression coefficient and standard error for the relationship between the independent variable and the mediator. Knowing the confidence interval for an indirect effect can be very useful for assessing the true nature of the indirect effect in analytics studies that rely on mediation models.
Compute the variance of an indirect effect in a mediation model using Sobel's multivariate delta method, given the regression coefficient and standard error for the relationship between the mediator and the dependent variable, and the regression coefficient and standard error for the relationship between the independent variable and the mediator. Knowing the variance of an indirect effect can be very useful in analytics studies that rely on mediation models.
Compute the total effect for a mediation model, given the value of the regression coefficient between the independent variable and the mediator variable, the value of the regression coefficient between the mediator variable and the dependent variable, and the value of the regression coefficient between the independent variable and the dependent variable. Mediation models are very common in analytics studies, and knowing the size of the total effect is critical to interpreting the results of these studies.
Compute the one-tailed and two-tailed probabilities that the indirect effect of an independent variable on a dependent variable through a mediator variable is significant by using the Sobel test. Many analytics studies rely on mediation models, and identifying whether a mediator variable significantly carries the influence of an independent variable to a dependent variable is critical when assessing the value of such models.