Summary
In this chapter, our focus was on investigating the mechanisms by which variables influence each other within complex systems, utilizing R for mediation analysis. We learned how to set up the R environment, including the installation of essential packages such as mediation and lavaan. We also explored creating a synthetic dataset to simulate real-world complexities, helping you gain a comprehensive understanding of mediation analysis. Foundational aspects were covered in detail, including establishing mediation effects and a step-by-step approach to testing these effects in R.
As the chapter progressed, we looked deep into sophisticated models, examining multiple mediators, the interplay between mediation and moderation, and the challenges posed by longitudinal data. This exploration aims to equip you with a profound understanding of mediation analysis, enabling you to conduct investigations with confidence and clarity.
In the next chapter, we will investigate the concept...
