Final answer:
The traditional model for effects when blocking includes mean value terms representing factor levels and terms representing blocking random effects to control for lurking variables and establish a causal relationship.
Step-by-step explanation:
The traditional model for effects when blocking is to be handled includes:
- Mean value terms that represent the factor levels of treatments.
- Terms that represent blocking random effects.
These two components are important in experimental design to control for lurking variables and establish a causal relationship between the explanatory and response variables.
By incorporating mean value terms and blocking random effects, researchers can measure the direct effects of different treatments while minimizing the impact of confounding variables.