sommittelumenetelmät
Sommittelumenetelmät, often translated as "mediation methods" or "intervening variable methods," are statistical techniques used in research to understand how an independent variable influences a dependent variable through a third variable, known as a mediator. This mediator variable is thought to be on the causal pathway between the independent and dependent variables.
The core idea behind sommittelumenetelmät is to break down a direct effect into indirect effects. For example,
There are several approaches to implementing sommittelumenetelmät, with regression-based methods being common. These often involve running
More advanced techniques like structural equation modeling (SEM) and bootstrapping are also widely used for mediation
Understanding mediation is crucial for developing effective interventions. By identifying the mechanisms through which an independent