Mediation analysis in R - Method 1

This tutorial shows how to use you can do mediation analysis in R. This tutorial first shows how to do the 3 regressions for mediation based on Baron & Kenny (1986). Then, I use the function of mediate() in the R package "Mediation" to do the mediation analysis. The mediate() function can provide the 95% confidence interval based on bootstrapping.

Complete R code for mediation analysis:
https://github.com/TidyPython/Mediati...

R Markdown PDF File:
https://github.com/TidyPython/Mediati...

Slides used:
https://github.com/TidyPython/Mediati...

The hypothetical data used in the tutorial:
https://github.com/TidyPython/Mediati...
[Note: This data is generated via R programming (i.e., not real data). Please do not interpret the findings from a theoretical perspective. Please do not use it outside of this tutorial. ]

Method 2 video:
Method 2: Mediation Analysis in R - Method 2 (B...

Content of this tutorial:
0:00 - Overview of 2 methods for mediation analysis in R
0:40 - Mediation analysis in R based on Baron & Kenny (1986)
1:32 - Example and data for mediation analysis
2:37 - R code for mediation analysis in R based on Baron & Kenny
5:30 - The definition of bootstrapping
6:26 - R package "mediation" for bootstrapping for indirect effect in mediation
8:00 - Interpret output for package "mediation": ACME, ADE, Total Effect, and Prop. Mediated

Disclaimer:
The accuracy and comprehensiveness of this tutorial are not assured. It is advisable to verify independently or seek advice from professionals. The author of this tutorial bears no responsibility or liability for its accuracy and completeness.