| title | Edit A Mediation Effect Equation |
|---|---|
| author | Keon-Woong Moon |
| output | html_document |
In this chapter, I will use the data and explanation described in lavaan homepage(http://lavaan.ugent.be/tutorial/mediation.html).
Consider a classical mediation setup with three variables: Y is the dependent variable, X is the predictor, and M is a mediator. For illustration, we create a toy dataset containing these three variables, and fit a path analysis model that includes the direct effect of X on Y and the indirect effect of X on Y via M.
Please select example2 among the select Data radio buttons(1). If we wanted to konw how the data be made, just click the show data Help button(arrow).
To insert the mediation effect easily, please select the Mediation effect Analysis checkbox(arrow).
Please select X as a independent variable, select M as a mediator and select Y as a response variable. Press Make Equation button and you can get the mediation equation(arrow).
Of course, you can type the equation directly in the equation textbox.
Press the do Analysis button and you can get the analysis result. You can can result of the total effect and indirect effect(1) as well as the result of so-called Sobel test for the mediation effect(2).
You can also get the plot for mediation effect.
